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Sample records for genetic system devoted

  1. Devotional fitness: aspects of a contemporary religious system

    Directory of Open Access Journals (Sweden)

    Martin Radermacher

    2012-01-01

    Full Text Available The aim of this paper is to describe some more or less representative groups within the area of devotional fitness in the USA, to compare their ideas­ to those held in Christian congregations in Germany and to extract some of the most important features of these movements. The descriptive section, ‘Examples of fitness in US evangelicalism’, will have a short look at three of these movements and then examine one of them more thoroughly, namely, the concept of ‘Shaped by Faith’. The next part of the descriptive section (‘Aspects of religion and fitness in Germany’ will look into the connections between sports and religion in Christian congregations in Germany. In the third section, some of the historical trajec­tories which have influenced contemporary body ideals in both ‘religious’ and ‘secular’ contexts in the United States and Germany are briefly described. In the analytical section, the material is screened for striking similarities and recurring motifs and a preliminary definition of ‘devotional fitness’ is suggested. One particular feature of these currents, the blurring of genres, is dealt with more thoroughly in section ‘The blurring of genres in devotional fitness’. The article ends with some ideas as to how these concepts of devotional fitness could be researched within the analytical frame of cultural semiotics.

  2. An experimental investigation devoted to determine heat transfer characteristics in a radiant ceiling heating system

    Science.gov (United States)

    Koca, Aliihsan; Acikgoz, Ozgen; Çebi, Alican; Çetin, Gürsel; Dalkilic, Ahmet Selim; Wongwises, Somchai

    2017-08-01

    Investigations on heated ceiling method can be considered as a new research area in comparison to the common wall heating-cooling and cooled ceiling methods. In this work, heat transfer characteristics of a heated radiant ceiling system was investigated experimentally. There were different configurations for a single room design in order to determine the convective and radiative heat transfer rates. Almost all details on the arrangement of the test chamber, hydraulic circuit and radiant panels, the measurement equipment and experimental method including uncertainty analysis were revealed in detail indicating specific international standards. Total heat transfer amount from the panels were calculated as the sum of radiation to the unheated surfaces, convection to the air, and conduction heat loss from the backside of the panels. Integral expression of the view factors was calculated by means of the numerical evaluations using Matlab code. By means of this experimental chamber, the radiative, convective and total heat-transfer coefficient values along with the heat flux values provided from the ceiling to the unheated surrounding surfaces have been calculated. Moreover, the details of 28 different experimental case study measurements from the experimental chamber including the convective, radiative and total heat flux, and heat output results are given in a Table for other researchers to validate their theoretical models and empirical correlations.

  3. Design methodologies for sizing a battery bank devoted to a stand-alone and electronically passive wind turbine system

    OpenAIRE

    Belouda, Malek; Jaafar, Amine; Sareni, Bruno; Roboam, Xavier; Belhadj, Jamel

    2016-01-01

    International audience; In this paper, the authors investigate four original methodologies for sizing a battery bank inside a passive wind turbine system. This device interacts with wind and load cycles, especially for a stand-alone application. Generally, actual wind speed measurements are of long duration which leads to extensive processing time in a global optimization context requiring a wide number of system simulations. The first part of this article outlines two sizing methodologies bas...

  4. DEVOTIONAL MUSIC AND CARDIOVASCULAR SYSTEM

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    Neera

    2014-08-01

    Full Text Available A slight reduction of blood pressure and pulse rate can reduce the risk of developing cardio vascular disease. Indian and western music have been considered among preventing programmes for time in order to reduce risk associated with cardio vascular disease. Therefore the aim of study is to describe the effect of listening hanuman chalisa music on systolic, diastolic blood pressure and heart rate in asymptomatic individuals MATERIAL AND METHODS: Twenty healthy MBBS subjects, aged 18 to 22years were seated in a comfortable sitting posture with spine straight, body relaxed. The music of hanuman chalisa plays for 10 minutes. Systolic, diastolic blood pressure and pulse rate is monitored before and after the intervention. Result – Statistically significant reduction in SBP (10.62 mmHg, DBP (3.91mmHg and pulse rate (5.77per minute were observed after listening to hanuman chalisa music (p value< 0.001. Conclusion- hanuman chalisa music may have a potential benefit in reducing blood pressure and can be used in cardio vascular disease preventive programmes. It helps to improve the quality of life as well as increased life expectancy of the patient

  5. Marburg Virus Reverse Genetics Systems.

    Science.gov (United States)

    Schmidt, Kristina Maria; Mühlberger, Elke

    2016-06-22

    The highly pathogenic Marburg virus (MARV) is a member of the Filoviridae family and belongs to the group of nonsegmented negative-strand RNA viruses. Reverse genetics systems established for MARV have been used to study various aspects of the viral replication cycle, analyze host responses, image viral infection, and screen for antivirals. This article provides an overview of the currently established MARV reverse genetic systems based on minigenomes, infectious virus-like particles and full-length clones, and the research that has been conducted using these systems.

  6. Marburg Virus Reverse Genetics Systems

    Directory of Open Access Journals (Sweden)

    Kristina Maria Schmidt

    2016-06-01

    Full Text Available The highly pathogenic Marburg virus (MARV is a member of the Filoviridae family and belongs to the group of nonsegmented negative-strand RNA viruses. Reverse genetics systems established for MARV have been used to study various aspects of the viral replication cycle, analyze host responses, image viral infection, and screen for antivirals. This article provides an overview of the currently established MARV reverse genetic systems based on minigenomes, infectious virus-like particles and full-length clones, and the research that has been conducted using these systems.

  7. Community College Class Devoted to Astronomical Research

    Science.gov (United States)

    Genet, R. M.; Genet, C. L.

    2002-05-01

    A class at a small community college, Central Arizona College, was dedicated to astronomical research. Although hands-on research is usually reserved for professionals or graduate students, and occasionally individual undergraduate seniors, we decided to introduce community college students to science by devoting an entire class to research. Nine students were formed into three closely cooperating teams. The class as a whole decided that all three teams would observe Cepheid stars photometrically using a robotic telescope at the Fairborn Observatory. Speaker-phone conference calls were made to Kenneth E. Kissell for help on Cepheid selection, Michael A. Seeds for instructions on the use of the Phoenix-10 robotic telescope, and Douglas S. Hall for assitance in selecting appropriate comparison and check stars. The students obtained critical references on past observations from Konkoly Observatory via airmail. They spent several long night sessions at our apartment compiling the data, making phase calculations, and creating graphs. Finally, the students wrote up their results for publication in a forthcoming special issue of the international journal on stellar photometry, the IAPPP Communication. We concluded that conducting team research is an excellent way to introduce community college students to science, that a class devoted to cooperation as opposed to competition was refreshing, and that group student conference calls with working astronomers were inspiring. A semester, however, is a rather short time to initiate and complete research projects. The students were Sally Baldwin, Cory Bushnell, Bryan Dehart, Pamela Frantz, Carl Fugate, Mike Grill, Jessica Harger, Klay Lapa, and Diane Wiseman. We are pleased to acknowledge the assistance provided by the astronomers mentioned above, James Stuckey (Campus Dean), and our Union Institute and University doctoral committee members Florence Pittman Matusky, Donald S. Hayes, and Karen S. Grove.

  8. Genetics Home Reference: systemic scleroderma

    Science.gov (United States)

    ... A, Boileau C, Martinez M. Genome-wide scan identifies TNIP1, PSORS1C1, and RHOB as novel risk loci for systemic sclerosis. PLoS Genet. 2011 Jul;7(7):e1002091. doi: 10.1371/journal.pgen.1002091. Epub 2011 Jul 7. Citation on ...

  9. Nanoparticles monitoring in workplaces devoted to nanotechnologies

    Energy Technology Data Exchange (ETDEWEB)

    Manodori, Laura; Benedetti, Alvise [Associazione CIVEN, via delle Industrie 5, 30175 Venice (Italy)], E-mail: manodori@civen.org

    2009-05-01

    The impact of engineered nanoparticles (ENP) on human and environmental health is largely unknown at the moment, although their applications involve a wide range of fields from electronics, medicine, environmental remediation, packaging, etc. and their use are becoming very common. Currently the best way to estimate the human exposure to ENP is by monitoring the workplaces, which are the first environment involved in their involuntary release. This study has been carried out in the research laboratories of the CIVEN Association, devoted to the promotion of research and training activities in different fields of nanotechnology. Its aim is to evaluate the emission of particles in the full range from 5 nm to 20 {mu}m from two different deposition processes of thin film (plasma enhanced chemical and physical vapour deposition, PECVD and PVD respectively) and from the compounding of polymers with nanofillers by means of twin screw extruder. The results show very different scenarios of emissions. In particular a significant increase of particles concentration has been detected at the opening of the PECVD vacuum chamber and during nanocomposite compounding. In the first case it rises to 3 000 particles cm{sup -3}, while in the second one the emissions are two orders of magnitude larger, reaching more than 1.5 x 10{sup 5} particles cm{sup -3}.

  10. Genetics, Epigenetics, and Genomics of Systemic Sclerosis.

    Science.gov (United States)

    Salazar, Gloria; Mayes, Maureen D

    2015-08-01

    Systemic sclerosis (SSc) is a complex autoimmune disease that occurs in a genetically susceptible host. Genetic studies performed so far reveal that multiple genetic loci contribute to disease susceptibility in SSc. The purpose of this review is to discuss the current knowledge of genetics in SSc by exploring the observational evidence, the different genetic studies, and their modalities as well as the most relevant genes discovered by these. The importance of gene expression variation and the different mechanisms that govern it, including the recently discovered field of epigenetics, are also explored, with an emphasis on microRNA. Copyright © 2015 Elsevier Inc. All rights reserved.

  11. Structural health monitoring using genetic fuzzy systems

    CERN Document Server

    Pawar, Prashant M

    2014-01-01

    The high profile of structural health monitoring (SHM) will add urgency to this detailed treatment of intelligent SHM development and implementation via the evolutionary system, which uses a genetic algorithm to automate the development of the fuzzy system.

  12. 19th Scientific Readings Devoted to P.N. Chirvinskiy

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    I. Ya. Ilaltdinov

    2017-03-01

    Full Text Available Scientific conference devoted to P.N. Chirvinskiy was held in the Perm State University (January 2017. The problems of mineralogy, petrology, lithology, metallogeny and geochemistry were discussed.

  13. Evolutionary quantitative genetics of nonlinear developmental systems.

    Science.gov (United States)

    Morrissey, Michael B

    2015-08-01

    In quantitative genetics, the effects of developmental relationships among traits on microevolution are generally represented by the contribution of pleiotropy to additive genetic covariances. Pleiotropic additive genetic covariances arise only from the average effects of alleles on multiple traits, and therefore the evolutionary importance of nonlinearities in development is generally neglected in quantitative genetic views on evolution. However, nonlinearities in relationships among traits at the level of whole organisms are undeniably important to biology in general, and therefore critical to understanding evolution. I outline a system for characterizing key quantitative parameters in nonlinear developmental systems, which yields expressions for quantities such as trait means and phenotypic and genetic covariance matrices. I then develop a system for quantitative prediction of evolution in nonlinear developmental systems. I apply the system to generating a new hypothesis for why direct stabilizing selection is rarely observed. Other uses will include separation of purely correlative from direct and indirect causal effects in studying mechanisms of selection, generation of predictions of medium-term evolutionary trajectories rather than immediate predictions of evolutionary change over single generation time-steps, and the development of efficient and biologically motivated models for separating additive from epistatic genetic variances and covariances.

  14. Genetic classification of petroleum systems

    Energy Technology Data Exchange (ETDEWEB)

    Huizinga, B.J. (Chevron Oil Field Research Co., Richmond, CA (United States)); Demaison, G.

    1991-03-01

    The authors genetic classification of petroleum basins is founded on a working nomenclature that consists of combining qualifiers from each of the following three categories: (1) the charge factor (supercharged, normally charged, or undercharged), (2) the migration drainage style (vertically drained or laterally drained), and (3) the entrapment style (high impedance or low impedance). The charge factor is estimated on the basis of the richness and volumetrics of mature source rocks. The source potential index (SPI), which combines source-rock richness and thickness into a single parameter, is a convenient shortcut for comparing the petroleum potential of different source rocks containing dissimilar kerogen types and for rapidly estimating a basin's regional charging capacity. On a global scale, a general correlation exists between the magnitude of SPI and basinwide petroleum reserves. The dominant migration drainage style can be predicted from the structural and stratigraphic framework of a basin. Recognition of the dominant migration style helps to predict the location of zones of petroleum occurrence in relation to the 'hydrocarbon kitchens.' The entrapment style, which is also dependent on the structural framework and the presence of seals, describes the degree of resistance (i.e. impedance) working against dispersion of the petroleum charge. Application of these working concepts should help significantly reduce geologic risk, particularly in new ventures-type exploration.

  15. Puja: Expressions of Hindu Devotion. Guide for Educators.

    Science.gov (United States)

    Ridley, Sarah

    This teaching packet serves as a unit by itself or as part of preparation unit for a visit to the Arthur M. Sackler Gallery to see the exhibition "Puja: Expressions of Hindu Devotion." Focusing on Hindu religious objects found in an art museum, the packet suggests connections between art and world studies themes. In addition, these…

  16. Advances in molecular genetic systems in malaria.

    Science.gov (United States)

    de Koning-Ward, Tania F; Gilson, Paul R; Crabb, Brendan S

    2015-06-01

    Robust tools for analysing gene function in Plasmodium parasites, which are the causative agents of malaria, are being developed at an accelerating rate. Two decades after genetic technologies for use in Plasmodium spp. were first described, a range of genetic tools are now available. These include conditional systems that can regulate gene expression at the genome, transcriptional or protein level, as well as more sophisticated tools for gene editing that use piggyBac transposases, integrases, zinc-finger nucleases or the CRISPR-Cas9 system. In this Review, we discuss the molecular genetic systems that are currently available for use in Plasmodium falciparum and Plasmodium berghei, and evaluate the advantages and limitations of these tools. We examine the insights that have been gained into the function of genes that are important during the blood stages of the parasites, which may help to guide the development and improvement of drug therapies and vaccines.

  17. Genetic classification of petroleum systems

    Energy Technology Data Exchange (ETDEWEB)

    Demaison, G. (Stanford Univ., CA (United States)); Huizinga, B.J. (Chevron Overseas Petroleum Inc., San Ramon, CA (United States))

    1991-10-01

    The authors classification so petroleum systems is founded on a simple working nomenclature that consists of combining qualifiers from each of the following three categories: (1) charge factor, (2) migration drainage style, and (3) entrapment style. The charge factor is estimated on the basis of the richness and volumetrics of mature source rocks. The source potential index (SPI), which combines source-rock richness and thickness into a single parameter, is a convenient shortcut for comparing the petroleum potential of diverse source rocks containing dissimilar kerogen types and for rapidly estimating regional charging capacity. The migration drainage style is determined from the structural and stratigraphic framework of a basin. Vertical-migration drainage, which occurs mainly through faults and fracture systems breaching a seal, is characteristic of petroleum systems contained within rift basins, deltaic sequences, salt-dome provinces, wrench basins, and fold-and-thrust belts. In contrast, lateral-migration drainage sequences, salt-dome provinces, wrench basins, and fold-and-thrust belts. In contrast, lateral-migration drainage is dominant wherever stratigraphically continuous seal-reservoir doublets extend over a very large area in tectonically stable province. The entrapment style, which is also dependent on the structural framework and the presence and effectiveness of seals, describes the degree of resistance working against dispersion of the petroleum charge. Application of these working concepts should help to significantly reduce geologic risk, particularly in news ventures-type exploration.

  18. An integrated system for genetic analysis

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    Duan Xiao

    2006-04-01

    Full Text Available Abstract Background Large-scale genetic mapping projects require data management systems that can handle complex phenotypes and detect and correct high-throughput genotyping errors, yet are easy to use. Description We have developed an Integrated Genotyping System (IGS to meet this need. IGS securely stores, edits and analyses genotype and phenotype data. It stores information about DNA samples, plates, primers, markers and genotypes generated by a genotyping laboratory. Data are structured so that statistical genetic analysis of both case-control and pedigree data is straightforward. Conclusion IGS can model complex phenotypes and contain genotypes from whole genome association studies. The database makes it possible to integrate genetic analysis with data curation. The IGS web site http://bioinformatics.well.ox.ac.uk/project-igs.shtml contains further information.

  19. Genetics of fungal resistance to systemic fungicides

    NARCIS (Netherlands)

    Tuyl, van J.M.

    1977-01-01

    Since the introduction of the systemic fungicides, fungicide resistance has become a serious problem in plant disease control. This study was carried out in order to contribute to the knowledge about the genetics of fungal resistance to fungicides both from a practical and a fundamental point of vie

  20. The Influence of the Devotion Movement on the Health Care in North Korea

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    KIM Soo-Youn

    2006-06-01

    Full Text Available Since the early 1960s, North Korea has conducted 'devotion movement' under the directorship of Kim Il Sung across the nation. As a matter of fact, the movement was not a novel invention at all. When North Korean Temporary People's Polity was established in 1946, North Korea emphasized the importance of the devoted care of health personnel. It meant to reform the people's thought and mind along with complementing the lack of human and material resources. Thought reform was not a peculiar phenomenon observed in North Korea only. It was particularly stressed out among communist countries, including the Soviet Union. However any other communist country stresses the importance of thought reform. Devotion movement should be viewed as part of this process. As shown in many cases, the extent and degree of devotion movement and care are beyond our imagination, which does not intend to mean that North Korean health personnel's attitude towards patients is superior to the counterparts in South Korea. Indeed human being's behavior cannot be understood without taking account of society in general. The question can be raised as to whether or not North Korean health personnel's devoted care is really voluntary. To put aside the testimony that the most powerless group in a society can fall prey to victims, if social environment, whether directly or indirectly, is action on the people's thought and mind even in a subtle way and thus influence one's decision power, it is hard to highly evaluate the devoted care in North Korea. Moreover it seems like that the internal conflict exists surrounding devotion. In conclusion, I think that North Korean devotion movement has enforced health personnel to reform their thought and mind to adapt to North Korean regime and has played an important role to accomplish the purpose of North Korean Labor Party to realize essential constituents of its health system, in such a situation in which essential medical supplies are severely

  1. A Shanghai Woman Devotes Her Youth to Mountain Children

    Institute of Scientific and Technical Information of China (English)

    1996-01-01

    TWENTY-SEVEN years ago, Yang Jieru, an educated youth from Shanghai, set out for a remote village in the Jinggang Mountains. To this day, she remains devoted to teaching farmers’ children there. In 1969, Yang Jieru was 17. As urban educated youth all over the country went to work in rural and mountainous areas, she volunteered to settle down in the old revolutionary area, the Jinggang

  2. OCEANSAT_2 : an Indian space mission devoted to Earth observation

    Science.gov (United States)

    Venkata Rao, M.; de Cosmo, V.; Vespe, F.

    The first OCEANSAT a satellite devoted to Ocean applications was launched in May 1999 and had a lifetime of 6 years It carried two Payloads the Ocean Color Monitor OCM and Multi-frequency Scanning Microwave Radiometer MSMR These payloads provided valuable data which were used for various applications helpful for India as well as by International users The main applications of the OCM were the identification of Potential Fishery Zones PFZ while from the sea surface field of temperatures got by the MSMR the prediction of Monsoon arrival The second OCEANSAT mission is exactly a follow on of the first but with improved releases of the payloads The OCM is 8-narrow Band multi-spectral camera with 360 m Resolution 1420 Kms Swath and 2 days revisiting time The scatterometer is a Ku-band 13 515GHz radar with V H polarization and works with two-beam conical scanning On last October a memorandum of Understanding between the Indian and the Italian qSpace Agencies ISRO ASI was signed just to enrich the mission with another payload developed by ASI the space-borne GPS receiver devoted to radio occultation ROSA The goals of the mission the payloads and their applications will be described in detail

  3. Genetic testing by cancer site: endocrine system.

    Science.gov (United States)

    Pilarski, Robert; Nagy, Rebecca

    2012-01-01

    Numerous hereditary syndromes, caused by mutations in multiple tumor suppressor genes and oncogenes, can cause tumors in organs of the endocrine system. The primary syndromes (and genes) addressed here include multiple endocrine neoplasia types 1 and 2 (MEN1 and RET genes), Cowden syndrome (PTEN), hereditary pheochromocytoma/paraganglioma syndromes (multiple genes), and von Hippel-Lindau disease (VHL). Clinical genetic testing is available for each of these syndromes and is generally directed to individuals with endocrine or other tumors and additional features suggestive of a hereditary syndrome. However, for some endocrine tumors, the proportion because of heredity is so high that genetic testing may be appropriate for all affected individuals. Management for hereditary cases typically involves aggressive screening and/or surgical protocols, starting at young ages to minimize morbidity and mortality. Endocrine tumors can be less commonly seen in a number of other hereditary syndromes (eg, neurofibromatosis), which are not reviewed in this section.

  4. Study of a system devoted for ultrasonic non destructive testing of complex geometry pieces using smart contacts transducers; Etude d'un systeme de controle par ultrasons des pieces de geometrie conplexe a l'aide de traducteurs contacts intelligents

    Energy Technology Data Exchange (ETDEWEB)

    Chatillon, S

    2000-07-01

    This work is devoted to the enhancement of the ultrasonic non destructive testing in contact of nuclear components with complex geometry. In service inspections of such components performed with conventional probes present limited performances: variations in sensitivity, due to unmatched contact, incorrect characterization of the defect, because of the disorientations of the transducer during its displacement, and uncovered scan area when the geometry of the components disturbs the displacement of the transducer. We propose a new concept of smart transducer to improve the performances of such inspections. The radiating surface is flexible to optimize the sensitivity of the testing. Using the measure of the radiating surface distortion, performed by a specific instrumentation, phased array techniques allow the control of the transmitted beam to optimize the defect localization and characterization. Thus, this system is self-contained. We present the different steps involved to develop this system and its experimental validation. A computing model is extended to predict the field transmitted by a flexible contact transducer. This model is used to optimize the radiating surface of a jointed transducer. A delay law optimizing algorithm is developed to ensure the control of the transmitted beam. At last, a method and the associated instrumentation designed to measure the radiating surface distortion are proposed. Experimental Measures in the through-transmission mode validate the ability of this system to control the field transmitted through complex interfaces. At last, inspections in the pulse-echo mode are performed on a specimen with an irregular profile, representative of a real component inspected on site, and artificial embedded reflectors. Two control configurations are used. In the first one, the transducer is displaced along the surface, in the second one, the transducer is fixed and the region of interest is scanned using beam steering. The results show that

  5. Systems Genetics as a Tool to Identify Master Genetic Regulators in Complex Disease.

    Science.gov (United States)

    Moreno-Moral, Aida; Pesce, Francesco; Behmoaras, Jacques; Petretto, Enrico

    2017-01-01

    Systems genetics stems from systems biology and similarly employs integrative modeling approaches to describe the perturbations and phenotypic effects observed in a complex system. However, in the case of systems genetics the main source of perturbation is naturally occurring genetic variation, which can be analyzed at the systems-level to explain the observed variation in phenotypic traits. In contrast with conventional single-variant association approaches, the success of systems genetics has been in the identification of gene networks and molecular pathways that underlie complex disease. In addition, systems genetics has proven useful in the discovery of master trans-acting genetic regulators of functional networks and pathways, which in many cases revealed unexpected gene targets for disease. Here we detail the central components of a fully integrated systems genetics approach to complex disease, starting from assessment of genetic and gene expression variation, linking DNA sequence variation to mRNA (expression QTL mapping), gene regulatory network analysis and mapping the genetic control of regulatory networks. By summarizing a few illustrative (and successful) examples, we highlight how different data-modeling strategies can be effectively integrated in a systems genetics study.

  6. Devotion, Diversity, and Reasoning: Religion and Medical Ethics.

    Science.gov (United States)

    Dahnke, Michael D

    2015-12-01

    Most modern ethicists and ethics textbooks assert that religion holds little or no place in ethics, including fields of professional ethics like medical ethics. This assertion, of course, implicitly refers to ethical reasoning, but there is much more to the ethical life and the practice of ethics-especially professional ethics-than reasoning. It is no surprise that teachers of practical ethics, myself included, often focus on reasoning to the exclusion of other aspects of the ethical life. Especially for those with a philosophical background, reasoning is the most patent and pedagogically controllable aspect of the ethical life-and the most easily testable. And whereas there may be powerful reasons for the limitation of religion in this aspect of ethics, there are other aspects of the ethical life in which recognition of religious belief may arguably be more relevant and possibly even necessary. I divide the ethical life into three areas-personal morality, interpersonal morality, and rational morality-each of which I explore in terms of its relationship to religion, normatively characterized by the qualities of devotion, diversity, and reasoning, respectively.

  7. Periodontal disease associated to systemic genetic disorders.

    Science.gov (United States)

    Nualart Grollmus, Zacy Carola; Morales Chávez, Mariana Carolina; Silvestre Donat, Francisco Javier

    2007-05-01

    A number of systemic disorders increase patient susceptibility to periodontal disease, which moreover evolves more rapidly and more aggressively. The underlying factors are mainly related to alterations in immune, endocrine and connective tissue status. These alterations are associated with different pathologies and syndromes that generate periodontal disease either as a primary manifestation or by aggravating a pre-existing condition attributable to local factors. This is where the role of bacterial plaque is subject to debate. In the presence of qualitative or quantitative cellular immune alterations, periodontal disease may manifest early on a severe localized or generalized basis--in some cases related to the presence of plaque and/or specific bacteria (severe congenital neutropenia or infantile genetic agranulocytosis, Chediak-Higiashi syndrome, Down syndrome and Papillon-Lefévre syndrome). In the presence of humoral immune alterations, periodontal damage may result indirectly as a consequence of alterations in other systems. In connective tissue disorders, bacterial plaque and alterations of the periodontal tissues increase patient susceptibility to gingival inflammation and alveolar resorption (Marfan syndrome and Ehler-Danlos syndrome). The management of periodontal disease focuses on the control of infection and bacterial plaque by means of mechanical and chemical methods. Periodontal surgery and even extraction of the most seriously affected teeth have also been suggested. There are variable degrees of consensus regarding the background systemic disorder, as in the case of Chediak-Higiashi syndrome, where antibiotic treatment proves ineffective; in severe congenital neutropenia or infantile genetic agranulocytosis, where antibiotic prophylaxis is suggested; and in Papillon-Lefévre syndrome, where an established treatment protocol is available.

  8. Genetic Algorithms in Dynamical Systems Optimisation and Adaptation

    NARCIS (Netherlands)

    Reus, N.M. de; Visser, E.K.; Bruggeman, B.

    1998-01-01

    Both in the design of dynamical systems, ranging from control systems to state estimators as in the adaptation of these systems the use of genetic algorithms is worth studying. This paper presents some approaches for using genetic algorithms in dynamical systems. The layouts and specific uses are di

  9. Systems genetics : From GWAS to disease pathways

    NARCIS (Netherlands)

    van der Sijde, Marijke R.; Ng, Aylwin; Fu, Jingyuan

    2014-01-01

    Most common diseases are complex, involving multiple genetic and environmental factors and their interactions. In the past decade, genome-wide association studies (GWAS) have successfully identified thousands of genetic variants underlying susceptibility to complex diseases. However, the results fro

  10. Nonlinear System Identification with a Real–Coded Genetic Algorithm (RCGA

    Directory of Open Access Journals (Sweden)

    Cherif Imen

    2015-12-01

    Full Text Available This paper is devoted to the blind identification problem of a special class of nonlinear systems, namely, Volterra models, using a real-coded genetic algorithm (RCGA. The model input is assumed to be a stationary Gaussian sequence or an independent identically distributed (i.i.d. process. The order of the Volterra series is assumed to be known. The fitness function is defined as the difference between the calculated cumulant values and analytical equations in which the kernels and the input variances are considered. Simulation results and a comparative study for the proposed method and some existing techniques are given. They clearly show that the RCGA identification method performs better in terms of precision, time of convergence and simplicity of programming.

  11. Emergence of Algorithmic Languages in Genetic Systems

    CERN Document Server

    Angeles, O; Waelbroeck, H

    1997-01-01

    In genetic systems there is a non-trivial interface between the sequence of symbols which constitutes the chromosome, or ``genotype'', and the products which this sequence encodes --- the ``phenotype''. This interface can be thought of as a ``computer''. In this case the chromosome is viewed as an algorithm and the phenotype as the result of the computation. In general only a small fraction of all possible sequences of symbols makes any sense for a given computer. The difficulty of finding meaningful algorithms by random mutation is known as the brittleness problem. In this paper we show that mutation and crossover favour the emergence of an algorithmic language which facilitates the production of meaningful sequences following random mutations of the genotype. We base our conclusions on an analysis of the population dynamics of a variant of Kitano's neurogenetic model wherein the chromosome encodes the rules for cellular division and the phenotype is a 16-cell organism interpreted as a connectivity matrix fo...

  12. Using Genetic Algorithms for Building Metrics of Collaborative Systems

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    Cristian CIUREA

    2011-01-01

    Full Text Available he paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described. A genetic algorithm was implemented in order to determine the local maximum and minimum points of the relative complexity function associated to a collaborative banking system. The intelligent collaborative systems based on genetic algorithms, representing the new generation of collaborative systems, are analyzed and the implementation of auto-adaptive interfaces in a banking application is described.

  13. Genetic coding and united-hypercomplex systems in the models of algebraic biology.

    Science.gov (United States)

    Petoukhov, Sergey V

    2017-08-01

    Structured alphabets of DNA and RNA in their matrix form of representations are connected with Walsh functions and a new type of systems of multidimensional numbers. This type generalizes systems of complex numbers and hypercomplex numbers, which serve as the basis of mathematical natural sciences and many technologies. The new systems of multi-dimensional numbers have interesting mathematical properties and are called in a general case as "systems of united-hypercomplex numbers" (or briefly "U-hypercomplex numbers"). They can be widely used in models of multi-parametrical systems in the field of algebraic biology, artificial life, devices of biological inspired artificial intelligence, etc. In particular, an application of U-hypercomplex numbers reveals hidden properties of genetic alphabets under cyclic permutations in their doublets and triplets. A special attention is devoted to the author's hypothesis about a multi-linguistic in DNA-sequences in a relation with an ensemble of U-numerical sub-alphabets. Genetic multi-linguistic is considered as an important factor to provide noise-immunity properties of the multi-channel genetic coding. Our results attest to the conformity of the algebraic properties of the U-numerical systems with phenomenological properties of the DNA-alphabets and with the complementary device of the double DNA-helix. It seems that in the modeling field of algebraic biology the genetic-informational organization of living bodies can be considered as a set of united-hypercomplex numbers in some association with the famous slogan of Pythagoras "the numbers rule the world". Copyright © 2017 Elsevier B.V. All rights reserved.

  14. Closed Loop System Identification with Genetic Algorithms

    Science.gov (United States)

    Whorton, Mark S.

    2004-01-01

    High performance control design for a flexible space structure is challenging since high fidelity plant models are di.cult to obtain a priori. Uncertainty in the control design models typically require a very robust, low performance control design which must be tuned on-orbit to achieve the required performance. Closed loop system identi.cation is often required to obtain a multivariable open loop plant model based on closed-loop response data. In order to provide an accurate initial plant model to guarantee convergence for standard local optimization methods, this paper presents a global parameter optimization method using genetic algorithms. A minimal representation of the state space dynamics is employed to mitigate the non-uniqueness and over-parameterization of general state space realizations. This control-relevant system identi.cation procedure stresses the joint nature of the system identi.cation and control design problem by seeking to obtain a model that minimizes the di.erence between the predicted and actual closed-loop performance.

  15. Ionic regulation in genetic translation systems.

    Science.gov (United States)

    Douzou, P; Maurel, P

    1977-03-01

    The polyelectrolyte theory can provide an interpretation of the interdependence of pH, ionic strength, and polyamines one observes in the activity of ribonuclease acting on RNA. According to this theory: (i) A nucleic acid-enzyme complex and the suspending medium may be considered as two phases in equilibrium, even though within limits, the complex is soluble in water. (ii) The enzymatic catalysis is under tight control of the electrostatic potential generated by the system. Consequently, modification in electrostatic potential will induce a concomitant change in activity. (iii) The electrostatic potential can be modified through action on the system of "modulators", either "external" (ionic strength, pH, temperature, etc.) or "internal" (specific ligands, substrates, protein factors, etc.). Similarities between the reaction of ribonuclease (ribonuclease 3'-pyrimidino-oligonucleotidohydrolase; EC 3.1.4.22) and RNA and those observed with highly organized systems catalyzing DNA, RNA, and protein synthesis suggest that the electrostatic potential also provides an important regulatory mechanism in genetic translation. In this view, an essential function of nucleic acids is to provide their enzyme partners with polyanionic microenvironments within which their catalytic activities are controlled by variation in physicochemical parameters, including the proton concentration induced through "modulation" of the local electrostatic potential.

  16. Genetic therapy for the nervous system.

    Science.gov (United States)

    Bowers, William J; Breakefield, Xandra O; Sena-Esteves, Miguel

    2011-04-15

    Genetic therapy is undergoing a renaissance with expansion of viral and synthetic vectors, use of oligonucleotides (RNA and DNA) and sequence-targeted regulatory molecules, as well as genetically modified cells, including induced pluripotent stem cells from the patients themselves. Several clinical trials for neurologic syndromes appear quite promising. This review covers genetic strategies to ameliorate neurologic syndromes of different etiologies, including lysosomal storage diseases, Alzheimer's disease and other amyloidopathies, Parkinson's disease, spinal muscular atrophy, amyotrophic lateral sclerosis and brain tumors. This field has been propelled by genetic technologies, including identifying disease genes and disruptive mutations, design of genomic interacting elements to regulate transcription and splicing of specific precursor mRNAs and use of novel non-coding regulatory RNAs. These versatile new tools for manipulation of genetic elements provide the ability to tailor the mode of genetic intervention to specific aspects of a disease state.

  17. Introducing a computer program devoted to renewable integration assessment of multi-field solar photovoltaic power plants

    Energy Technology Data Exchange (ETDEWEB)

    Gil, M.A.C.; Arroba, J.P.; Ibanez, J.C.; Criado, J.A.R. [Ciudad Univ., Madrid (Spain)

    1996-11-01

    The objectives of this paper are to present a computer program devoted to the simulation of solar photovoltaic power plants, namely the assessment of their power generation technical potential. The most general configuration of a former program devoted to single-field photovoltaic generators has been extended and updated to multi-field systems. This program is also intended to provide capabilities in order to assess the integration of renewable energy resources. Mainly solar and wind energy systems will be considered, as well as pumped-storage stations, of which an example is included.

  18. Yarn Strength Modelling Using Genetic Fuzzy Expert System

    Science.gov (United States)

    Banerjee, Debamalya; Ghosh, Anindya; Das, Subhasis

    2013-05-01

    This paper deals with the modelling of cotton yarn strength using genetic fuzzy expert system. Primarily a fuzzy expert system has been developed to model the cotton yarn strength from the constituent fibre parameters such as fibre strength, upper half mean length, fibre fineness and short fibre content. A binary coded genetic algorithm has been used to improve the prediction performance of the fuzzy expert system. The experimental validation confirms that the genetic fuzzy expert system has significantly better prediction accuracy and consistency than that of the fuzzy expert system.

  19. Genetic fuzzy system modeling and simulation of vascular behaviour

    DEFF Research Database (Denmark)

    Tang, Jiaowei; Boonen, Harrie C.M.

    in cardiovascular disease and ultimately improve pharmacotherapy. For this purpose, novel computational approaches incorporating adaptive properties, auto-regulatory control and rule sets will be assessed, properties that are commonly lacking in deterministic models based on differential equations. We hypothesize...... in principle for any physiological system that is characterized by auto-regulatory control and adaptation. Methods: Currently, one modeling approach is being investigated, Genetic Fuzzy System (GFS). In Genetic Fuzzy Systems, the model algorithm mimics the biologic genetic evolutionary process to learn...... chromosome or individual to define the fuzzy system. The model is implemented by combining the Matlab Genetic algorithm and Fuzzy system toolboxes, respectively. To test the performance of this method, experimental data sets about calculated pressure change in different blood vessels after several chemical...

  20. Genetics Home Reference: multiple system atrophy

    Science.gov (United States)

    ... Home Health Conditions multiple system atrophy multiple system atrophy Enable Javascript to view the expand/collapse boxes. ... PDF Open All Close All Description Multiple system atrophy is a progressive brain disorder that affects movement ...

  1. Genetics Home Reference: systemic lupus erythematosus

    Science.gov (United States)

    ... Twitter Home Health Conditions systemic lupus erythematosus systemic lupus erythematosus Printable PDF Open All Close All Enable ... to view the expand/collapse boxes. Description Systemic lupus erythematosus (SLE) is a chronic disease that causes ...

  2. Screening and genetic manipulation of green organisms for establishment of biological life support systems in space.

    Science.gov (United States)

    Saei, Amir Ata; Omidi, Amir Ali; Barzegari, Abolfazl

    2013-01-01

    Curiosity has driven humankind to explore and conquer space. However, today, space research is not a means to relieve this curiosity anymore, but instead has turned into a need. To support the crew in distant expeditions, supplies should either be delivered from the Earth, or prepared for short durations through physiochemical methods aboard the space station. Thus, research continues to devise reliable regenerative systems. Biological life support systems may be the only answer to human autonomy in outposts beyond Earth. For construction of an artificial extraterrestrial ecosystem, it is necessary to search for highly adaptable super-organisms capable of growth in harsh space environments. Indeed, a number of organisms have been proposed for cultivation in space. Meanwhile, some manipulations can be done to increase their photosynthetic potential and stress tolerance. Genetic manipulation and screening of plants, microalgae and cyanobacteria is currently a fascinating topic in space bioengineering. In this commentary, we will provide a viewpoint on the realities, limitations and promises in designing biological life support system based on engineered and/or selected green organism. Special focus will be devoted to the engineering of key photosynthetic enzymes in pioneer green organisms and their potential use in establishment of transgenic photobioreactors in space.

  3. Robust reactor power control system design by genetic algorithm

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Yoon Joon; Cho, Kyung Ho; Kim, Sin [Cheju National University, Cheju (Korea, Republic of)

    1997-12-31

    The H{sub {infinity}} robust controller for the reactor power control system is designed by use of the mixed weight sensitivity. The system is configured into the typical two-port model with which the weight functions are augmented. Since the solution depends on the weighting functions and the problem is of nonconvex, the genetic algorithm is used to determine the weighting functions. The cost function applied in the genetic algorithm permits the direct control of the power tracking performances. In addition, the actual operating constraints such as rod velocity and acceleration can be treated as design parameters. Compared with the conventional approach, the controller designed by the genetic algorithm results in the better performances with the realistic constraints. Also, it is found that the genetic algorithm could be used as an effective tool in the robust design. 4 refs., 6 figs. (Author)

  4. Computational power and generative capacity of genetic systems.

    Science.gov (United States)

    Igamberdiev, Abir U; Shklovskiy-Kordi, Nikita E

    2016-01-01

    Semiotic characteristics of genetic sequences are based on the general principles of linguistics formulated by Ferdinand de Saussure, such as the arbitrariness of sign and the linear nature of the signifier. Besides these semiotic features that are attributable to the basic structure of the genetic code, the principle of generativity of genetic language is important for understanding biological transformations. The problem of generativity in genetic systems arises to a possibility of different interpretations of genetic texts, and corresponds to what Alexander von Humboldt called "the infinite use of finite means". These interpretations appear in the individual development as the spatiotemporal sequences of realizations of different textual meanings, as well as the emergence of hyper-textual statements about the text itself, which underlies the process of biological evolution. These interpretations are accomplished at the level of the readout of genetic texts by the structures defined by Efim Liberman as "the molecular computer of cell", which includes DNA, RNA and the corresponding enzymes operating with molecular addresses. The molecular computer performs physically manifested mathematical operations and possesses both reading and writing capacities. Generativity paradoxically resides in the biological computational system as a possibility to incorporate meta-statements about the system, and thus establishes the internal capacity for its evolution. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  5. Order Reduction of Linear Interval Systems Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Dr. Rajendra Prasad

    2010-10-01

    Full Text Available This paper presents an algorithm for order reduction of higher order linear interval system into stable lower order linear interval system by means of Genetic algorithm. In this algorithm the numerator and denominator polynomials are determined by minimizing the Integral square error (ISE using genetic algorithm (GA. The algorithm is simple, rugged and computer oriented. It is shown that the algorithm has several advantages, e.g. the reduced order models retain the steady-state value and stability of the original system. A numerical example illustrates the proposed algorithm.

  6. Optimisation of assembly scheduling in VCIM systems using genetic algorithm

    Science.gov (United States)

    Dao, Son Duy; Abhary, Kazem; Marian, Romeo

    2017-01-01

    Assembly plays an important role in any production system as it constitutes a significant portion of the lead time and cost of a product. Virtual computer-integrated manufacturing (VCIM) system is a modern production system being conceptually developed to extend the application of traditional computer-integrated manufacturing (CIM) system to global level. Assembly scheduling in VCIM systems is quite different from one in traditional production systems because of the difference in the working principles of the two systems. In this article, the assembly scheduling problem in VCIM systems is modeled and then an integrated approach based on genetic algorithm (GA) is proposed to search for a global optimised solution to the problem. Because of dynamic nature of the scheduling problem, a novel GA with unique chromosome representation and modified genetic operations is developed herein. Robustness of the proposed approach is verified by a numerical example.

  7. Time-Delay System Identification Using Genetic Algorithm

    DEFF Research Database (Denmark)

    Yang, Zhenyu; Seested, Glen Thane

    2013-01-01

    Due to the unknown dead-time coefficient, the time-delay system identification turns to be a non-convex optimization problem. This paper investigates the identification of a simple time-delay system, named First-Order-Plus-Dead-Time (FOPDT), by using the Genetic Algorithm (GA) technique...

  8. THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS

    Directory of Open Access Journals (Sweden)

    RUS T.

    2016-03-01

    Full Text Available In this paper is presented the working principle of genetic algorithms used to dimension autonomous hybrid systems. It is presented a study case in which is dimensioned and optimized an autonomous hybrid system for a residential house located in Cluj-Napoca. After the autonomous hybrid system optimization is performed, it is achieved a reduction of the total cost of system investment, a reduction of energy produced in excess and a reduction of CO2 emissions.

  9. The development of Clostridium difficile genetic systems.

    Science.gov (United States)

    Minton, Nigel; Carter, Glen; Herbert, Mike; O'keeffe, Triona; Purdy, Des; Elmore, Mike; Ostrowski, Anna; Pennington, Oliver; Davis, Ian

    2004-04-01

    Clostridum difficile is a major cause of healthcare-associated disease in the western world, and is particularly prominent in the elderly. Its incidence is rising concomitant with increasing longevity. More effective countermeasures are required. However, the pathogenesis of C. difficile infection is poorly understood. The lack of effective genetic tools is a principal reason for this ignorance. For many years, the only tools available for the transfer of genes into C. difficile have been conjugative transposons, such as Tn916, delivered via filter mating from Bacillus subtilis donors. They insert into a preferred site within the genome. Therefore, they may not be employed for classical mutagenesis studies, but can be employed to modulate gene function through the delivery of antisense RNA. Attempts to develop transformation procedures have so far met with little success. However, in recent years the situation has been dramatically improved through the demonstration of efficient conjugative transfer of both replication-proficient and replication-deficient plasmids from Escherichia coli donors. This efficient transfer can only be achieved in certain strains through negation of the indigenous restriction barrier, and is generally most effective when the plasmid employed is based on the replicon of the C. difficile plasmid, pCD6.

  10. The genetics of anxiety-related negative valence system traits.

    Science.gov (United States)

    Savage, Jeanne E; Sawyers, Chelsea; Roberson-Nay, Roxann; Hettema, John M

    2017-03-01

    NIMH's Research Domain Criteria (RDoC) domain of negative valence systems (NVS) captures constructs of negative affect such as fear and distress traditionally subsumed under the various internalizing disorders. Through its aims to capture dimensional measures that cut across diagnostic categories and are linked to underlying neurobiological systems, a large number of phenotypic constructs have been proposed as potential research targets. Since "genes" represent a central "unit of analysis" in the RDoC matrix, it is important for studies going forward to apply what is known about the genetics of these phenotypes as well as fill in the gaps of existing knowledge. This article reviews the extant genetic epidemiological data (twin studies, heritability) and molecular genetic association findings for a broad range of putative NVS phenotypic measures. We find that scant genetic epidemiological data is available for experimentally derived measures such as attentional bias, peripheral physiology, or brain-based measures of threat response. The molecular genetic basis of NVS phenotypes is in its infancy, since most studies have focused on a small number of candidate genes selected for putative association to anxiety disorders (ADs). Thus, more research is required to provide a firm understanding of the genetic aspects of anxiety-related NVS constructs. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  11. Systems genetics of complex diseases using RNA-sequencing methods

    DEFF Research Database (Denmark)

    Mazzoni, Gianluca; Kogelman, Lisette; Suravajhala, Prashanth

    2015-01-01

    Next generation sequencing technologies have enabled the generation of huge quantities of biological data, and nowadays extensive datasets at different ‘omics levels have been generated. Systems genetics is a powerful approach that allows to integrate different ‘omics level and understand...... non-coding RNAs (ncRNAs). The integration of transcriptomics data with genomic data in a systems genetics context represents a valuable possibility to go deep into the causal and regulatory mechanisms that generate complex traits and diseases. However RNA-Seq data have to be treated carefully...... principally on merits and demerits of tools for post mapping quality control, normalization, differential expression analysis, gene network analysis, and integration of different omics data in order to generate a comprehensive guideline to systems genetics analysis using RNA-Seq data....

  12. Genetic Factors in Systemic Lupus Erythematosus: Contribution to Disease Phenotype

    Science.gov (United States)

    Ceccarelli, Fulvia; Perricone, Carlo; Borgiani, Paola; Ciccacci, Cinzia; Rufini, Sara; Cipriano, Enrica; Alessandri, Cristiano; Spinelli, Francesca Romana; Sili Scavalli, Antonio; Novelli, Giuseppe; Valesini, Guido; Conti, Fabrizio

    2015-01-01

    Genetic factors exert an important role in determining Systemic Lupus Erythematosus (SLE) susceptibility, interplaying with environmental factors. Several genetic studies in various SLE populations have identified numerous susceptibility loci. From a clinical point of view, SLE is characterized by a great heterogeneity in terms of clinical and laboratory manifestations. As widely demonstrated, specific laboratory features are associated with clinical disease subset, with different severity degree. Similarly, in the last years, an association between specific phenotypes and genetic variants has been identified, allowing the possibility to elucidate different mechanisms and pathways accountable for disease manifestations. However, except for Lupus Nephritis (LN), no studies have been designed to identify the genetic variants associated with the development of different phenotypes. In this review, we will report data currently known about this specific association. PMID:26798662

  13. An Epitome of Devotion and Moral Integrity-A Biographical Sketch of Prof. Ye Duzheng

    Institute of Scientific and Technical Information of China (English)

    Fu Congbin; Yan Xiaodong; Wu Guoxiong; Wang Huijun

    2003-01-01

    @@ Just as his name indicates, among Chinese scientists Prof. Ye Duzheng is an epitome of whole-hearted devotion to science and moral integrity in personal character. As one of the founders and pacesetters of Chinese atmospheric science, Prof.

  14. [A series of radio broadcasts of the French School Radio devoted to Pharmacy in 1966].

    Science.gov (United States)

    Lefebvre, Thierry

    2015-03-01

    In December 1966, the French School Radio devoted three of its emissions to Pharmacy. Found in the archives of the National Center for Educational Documentation (CNDP), those short programs resumed life.

  15. Fuzzy Control of Chaotic System with Genetic Algorithm

    Institute of Scientific and Technical Information of China (English)

    FANG Jian-an; GUO Zhao-xia; SHAO Shi-huang

    2002-01-01

    A novel approach to control the unpredictable behavior of chaotic systems is presented. The control algorithm is based on fuzzy logic control technique combined with genetic algorithm. The use of fuzzy logic allows for the implementation of human "rule-of-thumb" approach to decision making by employing linguistic variables. An improved Genetic Algorithm (GA) is used to learn to optimally select the fuzzy membership functions of the linguistic labels in the condition portion of each rule,and to automatically generate fuzzy control actions under each condition. Simulation results show that such an approach for the control of chaotic systems is both effective and robust.

  16. Immune System Model Calibration by Genetic Algorithm

    NARCIS (Netherlands)

    Presbitero, A.; Krzhizhanovskaya, V.; Mancini, E.; Brands, R.; Sloot, P.

    2016-01-01

    We aim to develop a mathematical model of the human immune system for advanced individualized healthcare where medication plan is fine-tuned to fit a patient's conditions through monitored biochemical processes. One of the challenges is calibrating model parameters to satisfy existing experimental

  17. Genetic control of midbrain dopamine systems

    NARCIS (Netherlands)

    Smits, Simone Marije

    2005-01-01

    The midbrain dopaminergic (mDA) system, organized in the substantia nigra compacta (SNc) and ventral tegmental area (VTA), regulates movement control and behavior as highlighted by the dramatic consequences of its degeneration in Parkinson’s disease and its implications in psychiatric and affective

  18. Power Transmission System Vulnerability Assessment Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    E. Karimi

    2012-11-01

    Full Text Available Recent blackouts in power systems have shown the necessity of vulnerability assessment. Among all factors, transmission system components have a more important role. Power system vulnerability assessment could capture cascading outages which result in large blackouts and is an effective tool for power system engineers for defining power system bottlenecks and weak points. In this paper a new method based on fault chains concept is developed which uses new measures. Genetic algorithm with an effective structure is used for finding vulnerable branches in a practical power transmission system. Analytic hierarchy process is a technique used to determine the weighting factors in fitness function of genetic algorithm. Finally, the numerical results for Isfahan Regional Electric Company are presented which verifies the effectiveness and precision of the proposed method according to the practical expriments.

  19. Stabilization of Electromagnetic Suspension System Behavior by Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Abbas Najar Khoda Bakhsh

    2012-07-01

    Full Text Available Electromagnetic suspension system with a nonlinear and unstable behavior, is used in maglev trains. In this paper a linear mathematical model of system is achieved and the state feedback method is used to improve the system stability. The control coefficients are tuned by two different methods, Riccati and a new method based on Genetic algorithm. In this new proposed method, we use Genetic algorithm to achieve the optimum values of control coefficients. The results of the system simulation by Matlab indicate the effectiveness of new proposed system. When a new reference of air gap is needed or a new external force is added, the proposed system could omit the vibration and shake of the train coupe and so, passengers feel more comfortable.

  20. Genetics

    Science.gov (United States)

    ... Inheritance; Heterozygous; Inheritance patterns; Heredity and disease; Heritable; Genetic markers ... The chromosomes are made up of strands of genetic information called DNA. Each chromosome contains sections of ...

  1. System control fuzzy neural sewage pumping stations using genetic algorithms

    Directory of Open Access Journals (Sweden)

    Владлен Николаевич Кузнецов

    2015-06-01

    Full Text Available It is considered the system of management of sewage pumping station with regulators based on a neuron network with fuzzy logic. Linguistic rules for the controller based on fuzzy logic, maintaining the level of effluent in the receiving tank within the prescribed limits are developed. The use of genetic algorithms for neuron network training is shown.

  2. Time-Delay System Identification Using Genetic Algorithm

    DEFF Research Database (Denmark)

    Yang, Zhenyu; Seested, Glen Thane

    2013-01-01

    problem through an identification approach using the real coded Genetic Algorithm (GA). The desired FOPDT/SOPDT model is directly identified based on the measured system's input and output data. In order to evaluate the quality and performance of this GA-based approach, the proposed method is compared...

  3. Aging and Ambiguous ROS. System Genetics Analysis.

    Science.gov (United States)

    Baranov, Vladislav S; Baranova, Elena V

    2017-01-01

    Famous Free Radical Theory (FRT) of aging, the 50th year anniversary of which is celebrated in 2015 postulates a crucial role of Reactive Oxygen Species (ROS) in aging. Still it is the most robust theory of aging as mitochondria ROS production (mtROSp) correlates well with four principal ''rules" of aging being universal, endogenous, progressive, and deleterious. Vast number of experiments in different species prove mutagenic effect of ROS and their carcinogenic properties. So far, FRT stimulates the search of new pharmaceuticals with antioxidant activity. However, some recent experimental data and clinical findings render doubt to ROS as a principal senescence drivers and come in conflict with original version of FRT. Growth stimulating effects of ROS and their modest antitumor properties support these objections. One should remember that FRT is only one of the numerous theories of aging. Molecular mechanisms of senescence involve all living systems and numerous metabolic pathways which are also variable owing to the unique properties of individual genome and unique epigenetic modulations operating throughout the lifetime thus making aging a unique private matter. Universal theory of aging that incorporates and explains all known and suggested mechanisms of aging, is illusive. However, knowledge of unique peculiarities of individual genome, its feasible editing and efficient epigenetic regulation of metabolic pathways give a chance to postpone aging and extend period of active longevity.

  4. Mapping genetic influences on the corticospinal motor system in humans

    DEFF Research Database (Denmark)

    Cheeran, B J; Ritter, C; Rothwell, J C

    2009-01-01

    It is becoming increasingly clear that genetic variations account for a certain amount of variance in the acquisition and maintenance of different skills. Until now, several levels of genetic influences were examined, ranging from global heritability estimates down to the analysis...... of the contribution of single nucleotide polymorphisms (SNP) and variable number tandem repeats. In humans, the corticospinal motor system is essential to the acquisition of fine manual motor skills which require a finely tuned coordination of activity in distal forelimb muscles. Here we review recent brain mapping...

  5. Genetic Algorithm Optimisation of a Ship Navigation System

    Directory of Open Access Journals (Sweden)

    E. Alfaro-Cid

    2001-01-01

    Full Text Available The optimisation of the PID controllers' gains for separate propulsion and heading control systems of CyberShip I, a scale model of an oil platform supply ship, using Genetic Algorithms is considered. During the initial design process both PID controllers have been manually tuned to improve their performance. However this tuning approach is a tedious and time consuming process. A solution to this problem is the use of optimisation techniques based on Genetic Algorithms to optimise the controllers' gain values. This investigation has been carried out through computer-generated simulations based on a non-linear hydrodynamic model of CyberShip I.

  6. Segregation Analysis on Genetic System of Quantitative Traits in Plants

    Institute of Scientific and Technical Information of China (English)

    Gai Junyi

    2006-01-01

    Based on the traditional polygene inheritance model of quantitative traits,the author suggests the major gene and polygene mixed inheritance model.The model was considered as a general one,while the pure major gene and pure polygene inheritance model was a specific case of the general model.Based on the proposed theory,the author established the segregation analysis procedure to study the genetic system of quantitative traits of plants.At present,this procedure can be used to evaluate the genetic effect of individual major genes (up to two to three major genes),the collective genetic effect of polygene,and their heritability value.This paper introduces how to establish the procedure,its main achievements,and its applications.An example is given to illustrate the steps,methods,and effectiveness of the procedure.

  7. Satellite constellation design with genetic algorithms based on system performance

    Institute of Scientific and Technical Information of China (English)

    Xueying Wang; Jun Li; Tiebing Wang; Wei An; Weidong Sheng

    2016-01-01

    Satelite constelation design for space optical sys-tems is essentialy a multiple-objective optimization problem. In this work, to tackle this chalenge, we first categorize the performance metrics of the space optical system by taking into account the system tasks (i.e., target detection and tracking). We then propose a new non-dominated sorting genetic algo-rithm (NSGA) to maximize the system surveilance perfor- mance. Pareto optimal sets are employed to deal with the conflicts due to the presence of multiple cost functions. Simulation results verify the validity and the improved per-formance of the proposed technique over benchmark meth-ods.

  8. A meta-learning system based on genetic algorithms

    Science.gov (United States)

    Pellerin, Eric; Pigeon, Luc; Delisle, Sylvain

    2004-04-01

    The design of an efficient machine learning process through self-adaptation is a great challenge. The goal of meta-learning is to build a self-adaptive learning system that is constantly adapting to its specific (and dynamic) environment. To that end, the meta-learning mechanism must improve its bias dynamically by updating the current learning strategy in accordance with its available experiences or meta-knowledge. We suggest using genetic algorithms as the basis of an adaptive system. In this work, we propose a meta-learning system based on a combination of the a priori and a posteriori concepts. A priori refers to input information and knowledge available at the beginning in order to built and evolve one or more sets of parameters by exploiting the context of the system"s information. The self-learning component is based on genetic algorithms and neural Darwinism. A posteriori refers to the implicit knowledge discovered by estimation of the future states of parameters and is also applied to the finding of optimal parameters values. The in-progress research presented here suggests a framework for the discovery of knowledge that can support human experts in their intelligence information assessment tasks. The conclusion presents avenues for further research in genetic algorithms and their capability to learn to learn.

  9. From classical genetics to quantitative genetics to systems biology: modeling epistasis.

    Directory of Open Access Journals (Sweden)

    David L Aylor

    2008-03-01

    Full Text Available Gene expression data has been used in lieu of phenotype in both classical and quantitative genetic settings. These two disciplines have separate approaches to measuring and interpreting epistasis, which is the interaction between alleles at different loci. We propose a framework for estimating and interpreting epistasis from a classical experiment that combines the strengths of each approach. A regression analysis step accommodates the quantitative nature of expression measurements by estimating the effect of gene deletions plus any interaction. Effects are selected by significance such that a reduced model describes each expression trait. We show how the resulting models correspond to specific hierarchical relationships between two regulator genes and a target gene. These relationships are the basic units of genetic pathways and genomic system diagrams. Our approach can be extended to analyze data from a variety of experiments, multiple loci, and multiple environments.

  10. Efficient Feedforward Linearization Technique Using Genetic Algorithms for OFDM Systems

    Directory of Open Access Journals (Sweden)

    García Paloma

    2010-01-01

    Full Text Available Feedforward is a linearization method that simultaneously offers wide bandwidth and good intermodulation distortion suppression; so it is a good choice for Orthogonal Frequency Division Multiplexing (OFDM systems. Feedforward structure consists of two loops, being necessary an accurate adjustment between them along the time, and when temperature, environmental, or operating changes are produced. Amplitude and phase imbalances of the circuit elements in both loops produce mismatched effects that lead to degrade its performance. A method is proposed to compensate these mismatches, introducing two complex coefficients calculated by means of a genetic algorithm. A full study is carried out to choose the optimal parameters of the genetic algorithm applied to wideband systems based on OFDM technologies, which are very sensitive to nonlinear distortions. The method functionality has been verified by means of simulation.

  11. Tuning Schema Matching Systems using Parallel Genetic Algorithms on GPU

    Directory of Open Access Journals (Sweden)

    Yuting Feng

    2010-11-01

    Full Text Available Most recent schema matching systems combine multiple components, each of which employs a particular matching technique with several knobs. The multi-component nature has brought a tuning problem, that is to determine which components to execute and how to adjust the knobs (e.g., thresholds, weights, etc. of these components for domain users. In this paper, we present an approach to automatically tune schema matching systems using genetic algorithms. We match a given schema S against generated matching scenarios, for which the ground truth matches are known, and find a configuration that effectively improves the performance of matching S against real schemas. To search the huge space of configuration candidates efficiently, we adopt genetic algorithms (GAs during the tuning process. To promote the performance of our approach, we implement parallel genetic algorithms on graphic processing units (GPUs based on NVIDIA’s Compute Unified Device Architecture (CUDA. Experiments over four real-world domains with two main matching systems demonstrate that our approach provides more qualified matches over different domains.

  12. Genetic fragmentation in India's third longest river system, the Narmada.

    Science.gov (United States)

    Khedkar, Gulab D; Jamdade, Rahul; Kalyankar, Amol; Tiknaik, Anita; Ron, Tetsuzan Benny; Haymer, David

    2014-01-01

    India's third longest river, the Narmada, is studied here for the potential effects on native fish populations of river fragmentation due to various barriers including dams and a waterfall. The species we studied include a cyprinid fish, Catla catla, and a mastacembelid, Mastacembelus armatus, both of which are found in the Narmada. Our goal was to use DNA sequence information from the D-loop region of the mitochondrial DNA to explore how this fragmentation could impact the genetic structure of these fish populations. Our results clearly show that these barriers can contribute to the fragmentation of the genetic structure of these fish communities, Furthermore, these barriers enhance the effects of natural isolation by distance and the asymmetry of dispersal flows. This may be a slow process, but it can create significant isolation and result in genetic disparity. In particular, populations furthest upstream having low migration rates could be even more subject to genetic impoverishment. This study serves as a first report of its kind for a river system on the Indian subcontinent. The results of this study also emphasize the need for appropriate attention towards the creation of fish passages across the dams and weirs that could help in maintaining biodiversity.

  13. Josephine's journey: Gender-based violence and Marian devotion in urban Papua New Guinea

    NARCIS (Netherlands)

    Hermkens, A.K.

    2008-01-01

    This article deals with how, in the urban setting of Madang, Papua New Guinea, Marian devotion is deployed in response to domestic and gender-based violence. While providing insight into the lived religious experiences of Catholic women living in Madang, this article shows how Mary empowers her

  14. Applying Software Engineering Methodology for Designing Biomedical Software Devoted To Electronic Instrumentation

    OpenAIRE

    2012-01-01

    Problem statement: Significant effort goes into the development of biomedical software, which is integrated with computers/processors, sensors and electronic instrumentation devoted to a specific application. However, the scientific work on electronic instrumentation controlled by biomedical software has not emphasized software development, instead focusing mainly on electronics engineering. The development team is rarely composed of Software Engineering (SE) experts. Usually, a commercial au...

  15. Factors affecting pharmacy engagement and pharmacy customer devotion in community pharmacy: A structural equation modeling approach.

    Science.gov (United States)

    Nitadpakorn, Sujin; Farris, Karen B; Kittisopee, Tanattha

    2017-01-01

    The concept of customer engagement and devotion has been applied in various service businesses to keep the customers with business However, a limited number of studies were performed to examine the context of customer engagement and devotion in pharmacy business which focus on the impact of customer perceptions about pharmacists, perceived quality of pharmacy structure, medication price strategy on pharmacy engagement and pharmacy customer devotion in a pharmacy providing pharmaceutical care to the customers. This study aimed to assess a conceptual model depicting the relationships among customer perceptions about pharmacists, pharmacy quality structure, medication price, customer engagement, and customer devotion. And also aimed to assess and measure if there is a direct or indirect relationship between these factors. A quantitative study was conducted by using self-administered questionnaires. Two hundred and fifty three customers who regularly visited the pharmacy were randomly recruited from a purposively selected 30 community pharmacies in Bangkok. The survey was completed during February to April 2016. A structural equation model (SEM) was used to assess the direct and indirect relationships between constructs. A total of 253/300 questionnaires were returned for analysis, and the response rate was 84%. Only perceptions about pharmacist in customers receiving professional pharmacy services was statically significant regarding relationship with pharmacy engagement (beta=0.45). Concurrently, the model from empirical data fit with the hypothetical model (p-value = 0.06, adjusted chi-square (CMIN/DF)=1.16, Goodness of Fit Index (GFI)=0.93, Comparatively Fit Index (CFI)=0.99, and Root Mean Square Error Approximation (RMSEA)=0.03). The study confirmed the indirect positive influence of customer perceptions about pharmacist on pharmacy customer devotion in providing pharmacy services via pharmacy engagement It was customer perceptions about pharmacist that influenced

  16. Genetic fuzzy system predicting contractile reactivity patterns of small arteries

    DEFF Research Database (Denmark)

    Tang, J; Sheykhzade, Majid; Clausen, B F;

    2014-01-01

    information. We developed a genetic fuzzy system (GFS) algorithm that is capable of learning all information in time-domain physiological data. Data on isometric force development of isolated small arteries were used as a framework for developing and optimizing a GFS. GFS performance was improved by several...... strategies. Results show that optimized fuzzy systems (OFSs) predict contractile reactivity of arteries accurately. In addition, OFSs identified significant differences that were undetectable using conventional analysis in the responses of arteries between groups. We concluded that OFSs may be used...

  17. Velhas devoções, novas devoções: mediações e mudanças no cristianismo devocional contemporâneo / Old devotions, new devotions: mediations and changes in contemporary devotional Christianity

    Directory of Open Access Journals (Sweden)

    José Rogério Lopes

    2010-01-01

    Full Text Available O artigo discute aspectos e características das chamadas novas devoções populares, buscando delimitar registros empíricos que permitam analisar continuidades e descontinuidades havidas nas experiências religiosas populares. Do escopo das mudanças, o autor aponta a importância do reconhecimento e da análise das mediações operadas no consumo da imagética religiosa, que se produzem no atual campo do pluralismo religioso. O princípio que opera tais mediações se desdobra, nessa elaboração, como proposta de análise da produção da santidade na experiência religiosa popular contemporânea. / The article discusses aspects and characteristics of the so called new popular devotions, seeking to delimit empirical records that permit to analyze continuities and discontinuities in popular religious experiences. From the scope of the changes, the author points out the importance of the recognition and analysis of mediations operated in the consumption of religious imagery, produced in the current field of religious pluralism. The principle that operates such mediation unfolds itself, in this formulation, as a proposal for analysis of the production of holiness in contemporary popular religious experience.

  18. Genetic fuzzy system modeling and simulation of vascular behaviour

    DEFF Research Database (Denmark)

    Tang, Jiaowei; Boonen, Harrie C.M.

    and find the optimal parameters in a Fuzzy Control set that can control the fluctuation of physical features in a blood vessel, based on experimental data (training data). Our solution is to create chromosomes or individuals composed of a sequence of parameters in the fuzzy system and find the best...... chromosome or individual to define the fuzzy system. The model is implemented by combining the Matlab Genetic algorithm and Fuzzy system toolboxes, respectively. To test the performance of this method, experimental data sets about calculated pressure change in different blood vessels after several chemical...... treatments are chosen as training and testing data sets. In the simulation, the fuzzy control system is trained by pressure data of one blood vessel and tested with pressure data of other blood vessels. Results: Right now, some rough results show that trained fuzzy control system can be used to predict...

  19. Optimization of transmission system design based on genetic algorithm

    Directory of Open Access Journals (Sweden)

    Xianbing Chen

    2016-05-01

    Full Text Available Transmission system is a crucial precision mechanism for twin-screw chemi-mechanical pulping equipment. The structure of the system designed by traditional method is not optimal because the structure designed by the traditional methods is easy to fall into the local optimum. To achieve the global optimum, this article applies the genetic algorithm which has grown in recent years in the field of structure optimization. The article uses the volume of transmission system as the objective function to optimize the structure designed by traditional method. Compared to the simulation results, the original structure is not optimal, and the optimized structure is tighter and more reasonable. Based on the optimized results, the transmission shafts in the transmission system are designed and checked, and the parameters of the twin screw are selected and calculated. The article provided an effective method to design the structure of transmission system.

  20. Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness

    Directory of Open Access Journals (Sweden)

    Animesh Biswas

    2014-01-01

    Full Text Available This paper describes a real life case example on the assessment process of morningness of individuals using genetic algorithm based hybrid fuzzy system. It is observed that physical and mental performance of human beings in different time slots of a day are majorly influenced by morningness orientation of those individuals. To measure the morningness of people various self-reported questionnaires were developed by different researchers in the past. Among them reduced version of Morningness-Eveningness Questionnaire is mostly accepted. Almost all of the linguistic terms used in questionnaires are fuzzily defined. So, assessing them in crisp environments with their responses does not seem to be justifiable. Fuzzy approach based research works for assessing morningness of people are very few in the literature. In this paper, genetic algorithm is used to tune the parameters of a Mamdani fuzzy inference model to minimize error with their predicted outputs for assessing morningness of people.

  1. Computational Genetic Regulatory Networks Evolvable, Self-organizing Systems

    CERN Document Server

    Knabe, Johannes F

    2013-01-01

    Genetic Regulatory Networks (GRNs) in biological organisms are primary engines for cells to enact their engagements with environments, via incessant, continually active coupling. In differentiated multicellular organisms, tremendous complexity has arisen in the course of evolution of life on earth. Engineering and science have so far achieved no working system that can compare with this complexity, depth and scope of organization. Abstracting the dynamics of genetic regulatory control to a computational framework in which artificial GRNs in artificial simulated cells differentiate while connected in a changing topology, it is possible to apply Darwinian evolution in silico to study the capacity of such developmental/differentiated GRNs to evolve. In this volume an evolutionary GRN paradigm is investigated for its evolvability and robustness in models of biological clocks, in simple differentiated multicellularity, and in evolving artificial developing 'organisms' which grow and express an ontogeny starting fr...

  2. Spatial genetic structure of a symbiotic beetle-fungal system: toward multi-taxa integrated landscape genetics.

    Directory of Open Access Journals (Sweden)

    Patrick M A James

    Full Text Available Spatial patterns of genetic variation in interacting species can identify shared features that are important to gene flow and can elucidate co-evolutionary relationships. We assessed concordance in spatial genetic variation between the mountain pine beetle (Dendroctonus ponderosae and one of its fungal symbionts, Grosmanniaclavigera, in western Canada using neutral genetic markers. We examined how spatial heterogeneity affects genetic variation within beetles and fungi and developed a novel integrated landscape genetics approach to assess reciprocal genetic influences between species using constrained ordination. We also compared landscape genetic models built using Euclidean distances based on allele frequencies to traditional pair-wise Fst. Both beetles and fungi exhibited moderate levels of genetic structure over the total study area, low levels of structure in the south, and more pronounced fungal structure in the north. Beetle genetic variation was associated with geographic location while that of the fungus was not. Pinevolume and climate explained beetle genetic variation in the northern region of recent outbreak expansion. Reciprocal genetic relationships were only detectedin the south where there has been alonger history of beetle infestations. The Euclidean distance and Fst-based analyses resulted in similar models in the north and over the entire study area, but differences between methods in the south suggest that genetic distances measures should be selected based on ecological and evolutionary contexts. The integrated landscape genetics framework we present is powerful, general, and can be applied to other systems to quantify the biotic and abiotic determinants of spatial genetic variation within and among taxa.

  3. Optimisation of Resource Scheduling in VCIM Systems Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Son Duy Dao

    2012-11-01

    Full Text Available The concept of Virtual Computer-Integrated Manufacturing (VCIM has been proposed for one and a half decade with purpose of overcoming the limitation of traditional Computer-Integrated Manufacturing (CIM as it only works within an enterprise. VCIM system is a promising solution for enterprises to survive in the globally competitive market because it can exploit effectively locally as well as globally distributed resources. In this paper, a Genetic Algorithm (GA based approach for optimising resource scheduling in the VCIM system is proposed. Firstly, based on the latest concept of VCIM system, a class of resource scheduling problems in the system is modelled by using agent-based approach. Secondly, GA with new strategies of handling constraint, chromosome encoding, crossover and mutation is developed to search for optimal solution for the problem. Finally, a case study is given to demonstrate the robustness of the proposed approach.

  4. The system of molecular-genetic triggers as self--organizing computing system

    Directory of Open Access Journals (Sweden)

    A. Profir

    2001-05-01

    Full Text Available In this paper is shown, that the system of molecular-genetic triggers can solve the SAT problem. The molecular-genetic trigger represents the self-organizing structure and has attractors. The signal from one attractor is transmitted to other attractor, from the first level to the second level of the system. Molecular-genetic triggers work separately. The system of molecular-genetic triggers represents an example of parallel computing system. Suppose, that the system can receive two types of signals. In the first case, the system switches with the help of signals of a molecular nature (concentration of activators x1, x>sub>2, x3, x4. In the second case, the signals of wave nature of a resonant frequency can be utilized. It is possible to show, that the molecular--genetic system, can recognize images encoded by 2-dimensional vectors. Thus, the cells can be considered as parallel self-organizing system producing, receiving and transmitting the information.

  5. An integrated Korean biodiversity and genetic information retrieval system.

    Science.gov (United States)

    Lim, Jeongheui; Bhak, Jong; Oh, Hee-Mock; Kim, Chang-Bae; Park, Yong-Ha; Paek, Woon Kee

    2008-12-12

    On-line biodiversity information databases are growing quickly and being integrated into general bioinformatics systems due to the advances of fast gene sequencing technologies and the Internet. These can reduce the cost and effort of performing biodiversity surveys and genetic searches, which allows scientists to spend more time researching and less time collecting and maintaining data. This will cause an increased rate of knowledge build-up and improve conservations. The biodiversity databases in Korea have been scattered among several institutes and local natural history museums with incompatible data types. Therefore, a comprehensive database and a nation wide web portal for biodiversity information is necessary in order to integrate diverse information resources, including molecular and genomic databases. The Korean Natural History Research Information System (NARIS) was built and serviced as the central biodiversity information system to collect and integrate the biodiversity data of various institutes and natural history museums in Korea. This database aims to be an integrated resource that contains additional biological information, such as genome sequences and molecular level diversity. Currently, twelve institutes and museums in Korea are integrated by the DiGIR (Distributed Generic Information Retrieval) protocol, with Darwin Core2.0 format as its metadata standard for data exchange. Data quality control and statistical analysis functions have been implemented. In particular, integrating molecular and genetic information from the National Center for Biotechnology Information (NCBI) databases with NARIS was recently accomplished. NARIS can also be extended to accommodate other institutes abroad, and the whole system can be exported to establish local biodiversity management servers. A Korean data portal, NARIS, has been developed to efficiently manage and utilize biodiversity data, which includes genetic resources. NARIS aims to be integral in maximizing

  6. Comicality and devotion: festive laugh in Lope de Vega’s hagiographical comedia

    Directory of Open Access Journals (Sweden)

    Natalia Fernández Rodríguez

    2013-05-01

    Full Text Available Taking into consideration Lope de Vega’s corpus of hagiographical comedia, we value how the typical comicality of arte nuevo became compatible with that pious sense which was essential to hagiographical plays. We discuss the different roles played by festive laugh in a dramatic subgenre which intended to lead the audience to devotion. The aim of this article is to deepen into the strategies through which comedias de santos contributed to a double prospect, festive and pious.

  7. Hydrogenerator system identification using a simple genetic algorithm

    Energy Technology Data Exchange (ETDEWEB)

    Wrate, C.A.; Wozniak, L. [Univ. of Illinois, Urbana, IL (United States)

    1997-03-01

    This paper investigates an identification procedure for a hydrogenerator plant using an adaptive technique. The procedure operates on field data consisting of sampled gate position and electrical frequency. The field data was recorded while the plant was operating under various load conditions. The procedure adapted to ongoing plant changes by continuously updating the identification results. It is shown that the adaptive technique, in this case genetic algorithm based, was capable of identifying the hydrogenerator system and following plant parameter changes while the plant operated under conditions of sufficient frequency excursions. These conditions include off-line and isolated network operation where effective control is critical.

  8. SOLUTION OF NONLINEAR PROBLEMS IN WATER RESOURCES SYSTEMS BY GENETIC ALGORITHM

    Directory of Open Access Journals (Sweden)

    Ahmet BAYLAR

    1998-03-01

    Full Text Available Genetic Algorithm methodology is a genetic process treated on computer which is considering evolution process in the nature. The genetic operations takes place within the chromosomes stored in computer memory. By means of various operators, the genetic knowledge in chromosomes change continuously and success of the community progressively increases as a result of these operations. The primary purpose of this study is calculation of nonlinear programming problems in water resources systems by Genetic Algorithm. For this purpose a Genetic Algoritm based optimization program were developed. It can be concluded that the results obtained from the genetic search based method give the precise results.

  9. A multifunctional system of the national genetic register.

    Science.gov (United States)

    Kobrinsky, B; Tester, I; Demikova, N; Sedov, Y u; Marjanchik, B; Taperova, L; Glukhovskaya, Y u; Podolnaja, M

    1998-01-01

    The National (Federal) Russian Genetic Register operates as a multifunctional system. It is designed for finding solution to the following key problems: 1. Information provision to watch families having children with hereditary and congenital diseases. 2. Follow up of the diagnostic process (including that associated with molecular-cytogenetic studies) and making predictive decisions concerning a risk of hereditary disease in the family. 3. Monitoring of new cases of congenital/hereditary disease under the effect of genotoxic and general toxic environmental factors. 4. Rendering consulting services to those concerned and reference information on the organizational/methodological problems. The relational database is composed of textual and graphical data. This enables the doctors to enter and review the pedigree in the form they have got accustomed to. Numerous built-in classification schemes help simplify and speed up the completion of the medical records. An additional information can be entered in the textual form. When requested by the user, the information about the patient and his (her) family, stored in the database, can be displayed as a summary document (a statement). To do so, a special algorithm based on the results of the logical information analysis, as well as medical history of the patients themselves and their families' members has been put forward. The document thus compiled is open for being edited by the doctor. The local computer network is operated in the "user-server" mode. For information protection purposes, an authorized access system has been devised to protect various data categories. The software tools operate in the Windows environment for IBM-compatible personal computers. Also, use is made of Microsoft SQL-Server, Visual Fox-Pro 3.0, Visual C+2 2.1, and FORTRAN 5.1. The doctor decision modules are activated with mathematical models, an expert system, and a self-learning recognizing system. The Windows NT system is a choice for the

  10. Neuro-genetic system for optimization of GMI samples sensitivity.

    Science.gov (United States)

    Pitta Botelho, A C O; Vellasco, M M B R; Hall Barbosa, C R; Costa Silva, E

    2016-03-01

    Magnetic sensors are largely used in several engineering areas. Among them, magnetic sensors based on the Giant Magnetoimpedance (GMI) effect are a new family of magnetic sensing devices that have a huge potential for applications involving measurements of ultra-weak magnetic fields. The sensitivity of magnetometers is directly associated with the sensitivity of their sensing elements. The GMI effect is characterized by a large variation of the impedance (magnitude and phase) of a ferromagnetic sample, when subjected to a magnetic field. Recent studies have shown that phase-based GMI magnetometers have the potential to increase the sensitivity by about 100 times. The sensitivity of GMI samples depends on several parameters, such as sample length, external magnetic field, DC level and frequency of the excitation current. However, this dependency is yet to be sufficiently well-modeled in quantitative terms. So, the search for the set of parameters that optimizes the samples sensitivity is usually empirical and very time consuming. This paper deals with this problem by proposing a new neuro-genetic system aimed at maximizing the impedance phase sensitivity of GMI samples. A Multi-Layer Perceptron (MLP) Neural Network is used to model the impedance phase and a Genetic Algorithm uses the information provided by the neural network to determine which set of parameters maximizes the impedance phase sensitivity. The results obtained with a data set composed of four different GMI sample lengths demonstrate that the neuro-genetic system is able to correctly and automatically determine the set of conditioning parameters responsible for maximizing their phase sensitivities.

  11. Genetics and novel aspects of therapies in systemic lupus erythematosus.

    Science.gov (United States)

    Relle, Manfred; Weinmann-Menke, Julia; Scorletti, Eva; Cavagna, Lorenzo; Schwarting, Andreas

    2015-11-01

    Autoimmune diseases, such as rheumatoid arthritis, multiple sclerosis, autoimmune hepatitis and inflammatory bowel disease, have complex pathogeneses and the factors which cause these disorders are not well understood. But all have in common that they arise from a dysfunction of the immune system, interpreting self components as foreign antigens. Systemic lupus erythematosus (SLE) is one of these complex inflammatory disorders that mainly affects women and can lead to inflammation and severe damage of virtually any tissue and organ. Recently, the application of advanced techniques of genome-wide scanning revealed more genetic information about SLE than previously possible. These case-control or family-based studies have provided evidence that SLE susceptibility is based (with a few exceptions) on an individual accumulation of various risk alleles triggered by environmental factors and also help to explain the discrepancies in SLE susceptibility between different populations or ethnicities. Moreover, during the past years new therapies (autologous stem cell transplantation, B cell depletion) and improved conventional treatment options (corticosteroids, traditional and new immune-suppressants like mycophenolate mofetile) changed the perspective in SLE therapeutic approaches. Thus, this article reviews genetic aspects of this autoimmune disease, summarizes clinical aspects of SLE and provides a general overview of conventional and new therapeutic approaches in SLE. Copyright © 2015. Published by Elsevier B.V.

  12. FRACTIONAL ORDER SYSTEM IDENTIFICATION BASED ON GENETIC ALGORITHMS

    Directory of Open Access Journals (Sweden)

    MAZIN Z. OTHMAN

    2013-12-01

    Full Text Available System identification deals with estimating the plant parameters under control using input-output measuring data. Most of practical plants have fractional order dynamic properties which are based on integration and differentiation of noninteger order. In this work the structure and the parameters of fractional order unknown transfer function are estimated using input-output data. Integer order Least Squares identification is used first to confirm the structure (order of the unknown transfer function. Then, Genetic Algorithms (GAs is followed to find the most accurate fractional order estimate that represents the system. Illustrative examples are presented in which fractional order transfer functions are identified in a way that faithfully estimates the dynamics of the unknown plants.

  13. Application of genetic algorithms to tuning fuzzy control systems

    Science.gov (United States)

    Espy, Todd; Vombrack, Endre; Aldridge, Jack

    1993-01-01

    Real number genetic algorithms (GA) were applied for tuning fuzzy membership functions of three controller applications. The first application is our 'Fuzzy Pong' demonstration, a controller that controls a very responsive system. The performance of the automatically tuned membership functions exceeded that of manually tuned membership functions both when the algorithm started with randomly generated functions and with the best manually-tuned functions. The second GA tunes input membership functions to achieve a specified control surface. The third application is a practical one, a motor controller for a printed circuit manufacturing system. The GA alters the positions and overlaps of the membership functions to accomplish the tuning. The applications, the real number GA approach, the fitness function and population parameters, and the performance improvements achieved are discussed. Directions for further research in tuning input and output membership functions and in tuning fuzzy rules are described.

  14. Systems genetics view of endometriosis: a common complex disorder.

    Science.gov (United States)

    Baranov, Vladislav S; Ivaschenko, Tatyana E; Liehr, Thomas; Yarmolinskaya, Maria I

    2015-02-01

    Endometriosis is a condition in which cells derived from the endometrium grow outside the uterus, e.g. in the peritoneum (external genital endometriosis). As these cells are under the influence of female hormones, major symptoms of endometriosis are pain, especially during the cycle, and infertility. Numerous hypotheses for the formation of endometriosis can be found in the literature, but there is growing evidence of serious genetic contributions to endometriosis susceptibility. The involvement of genes, steroid hormone metabolism, immunological reactions, receptor formation, inflammation, proliferation, apoptosis, intercellular adhesion, cell invasion and angiogenesis as well as genes regulating the activity of aforementioned enzymes have been suggested. Some more recently suggested candidate genes picked up in genome-wide association studies are involved in oncogenesis, metaplasia of endometrium cells and pathways of embryonic development of the female reproductive system. However, gene mutations proven to be causative for endometriosis have not been identified so far, even though the abnormal expression of candidate genes for endometriosis could be provoked by different epigenetic modifications including DNA methylation, heterochromatization or introduction of regulatory miRNA. We hypothesize that endometriosis is induced by a combination of abnormal genetic and/or epigenetic mutations: the latter pave the way for pathological changes which become irreversible, and according to the "epigenetic landscape" theory, this proceeds to the typical clinical manifestations. Two stages in the endometriosis pathway are suggested: (1) induction of primary endometrial cells toward endometriosis, and (2) implantation and progression of these cells into endometriosis lesions. The model favors endometriosis as an outgrowth of primary cells different in their origin, canalization of pathological processes, manifestation diversity provoked by unique genetic background and

  15. Endosomal system genetics and autism spectrum disorders: A literature review.

    Science.gov (United States)

    Patak, Jameson; Zhang-James, Yanli; Faraone, Stephen V

    2016-06-01

    Autism spectrum disorders (ASDs) are a group of debilitating neurodevelopmental disorders thought to have genetic etiology, due to their high heritability. The endosomal system has become increasingly implicated in ASD pathophysiology. In an attempt to summarize the association between endosomal system genes and ASDs we performed a systematic review of the literature. We searched PubMed for relevant articles. Simons Foundation Autism Research Initiative (SFARI) gene database was used to exclude articles regarding genes with less than minimal evidence for association with ASDs. Our search retained 55 articles reviewed in two categories: genes that regulate and genes that are regulated by the endosomal system. Our review shows that the endosomal system is a novel pathway implicated in ASDs as well as other neuropsychiatric disorders. It plays a central role in aspects of cellular physiology on which neurons and glial cells are particularly reliant, due to their unique metabolic and functional demands. The system shows potential for biomarkers and pharmacological intervention and thus more research into this pathway is warranted.

  16. The “Madonna del sudore” in Ravenna Cathedral: Art and devotion

    Directory of Open Access Journals (Sweden)

    Costanza Fabbri

    2013-11-01

    Full Text Available Due to its perfectly balancing the heritage coming from Avignon and from Byzantium, this little painting on wood is a sort of unicum among the same-age artworks depicting the Virgin and the Child. Cause of devotional reasons, we only knew its recto, so far: thanks to the help offered by the curia of Ravenna, the verso comes to the light in this study for the first time after the restoration by Cesare Brandi in 1958, as well as for the first time it’s here directly studied, definitively ascribed and contextualized.

  17. Doctrinal and devotional literature in schools of Spanish Baroque. The Memento mori as a school subject

    Directory of Open Access Journals (Sweden)

    José Vicente SALIDO LÓPEZ

    2016-10-01

    Full Text Available The influence of the Counter-Reformation is fundamental to deal the educational models of the late sixteenth century and Baroque. The religious education became the main focus of the primary schools. It is for that reason that materials for reading and writing include texts from doctrinal and devotional works. In the Baroque, because of his particular vision of life, are enriched with reflections on death and worldly vanity. This article aims to analyze the main calligraphy manuals of the period to find this moralizing purpose in exercises for students, tracking the sources and the pedagogical principle followed by their authors.

  18. Homosexuality: representing the devil or a spiritual gift? Two opposing views in the same Marian devotion.

    Science.gov (United States)

    Samson, Judith; Notermans, Catrien; Jansen, Willy

    2013-01-01

    This article analyzes opposing discourses on homosexuality forwarded by two different Catholic social actors. These are linked to the messages of the Lady of All Nations, a Marian apparition site in Amsterdam. These different actors are understood as competing moral communities ( Hunt, 2009 ), especially about the issue of what constitute European values. Both discourses can be seen as examples of the minoritizing yet universalizing view on homosexuality ( Kosofsky Sedgwick, 1990 , p. 85). The devotion to the Lady of All Nations serves as a site for promoting competing discourses ( Hermkens, Jansen, & Notermans, 2009 ).

  19. Genetic Testing in the Workplace: A Caste System for Workers?

    Science.gov (United States)

    Samuels, Sheldon W.

    1999-01-01

    "Authorized" genetic testing may be obtained from employees with coercion or threat. Unless protections are put in place, employers and health insurers will use genetic screening to hire and fire. (JOW)

  20. An unbiased systems genetics approach to mapping genetic loci modulating susceptibility to severe streptococcal sepsis.

    Directory of Open Access Journals (Sweden)

    Nourtan F Abdeltawab

    2008-04-01

    Full Text Available Striking individual differences in severity of group A streptococcal (GAS sepsis have been noted, even among patients infected with the same bacterial strain. We had provided evidence that HLA class II allelic variation contributes significantly to differences in systemic disease severity by modulating host responses to streptococcal superantigens. Inasmuch as the bacteria produce additional virulence factors that participate in the pathogenesis of this complex disease, we sought to identify additional gene networks modulating GAS sepsis. Accordingly, we applied a systems genetics approach using a panel of advanced recombinant inbred mice. By analyzing disease phenotypes in the context of mice genotypes we identified a highly significant quantitative trait locus (QTL on Chromosome 2 between 22 and 34 Mb that strongly predicts disease severity, accounting for 25%-30% of variance. This QTL harbors several polymorphic genes known to regulate immune responses to bacterial infections. We evaluated candidate genes within this QTL using multiple parameters that included linkage, gene ontology, variation in gene expression, cocitation networks, and biological relevance, and identified interleukin1 alpha and prostaglandin E synthases pathways as key networks involved in modulating GAS sepsis severity. The association of GAS sepsis with multiple pathways underscores the complexity of traits modulating GAS sepsis and provides a powerful approach for analyzing interactive traits affecting outcomes of other infectious diseases.

  1. Genetics

    DEFF Research Database (Denmark)

    Christensen, Kaare; McGue, Matt

    2016-01-01

    The sequenced genomes of individuals aged ≥80 years, who were highly educated, self-referred volunteers and with no self-reported chronic diseases were compared to young controls. In these data, healthy ageing is a distinct phenotype from exceptional longevity and genetic factors that protect...

  2. Genetic Programming Based Ensemble System for Microarray Data Classification

    Directory of Open Access Journals (Sweden)

    Kun-Hong Liu

    2015-01-01

    Full Text Available Recently, more and more machine learning techniques have been applied to microarray data analysis. The aim of this study is to propose a genetic programming (GP based new ensemble system (named GPES, which can be used to effectively classify different types of cancers. Decision trees are deployed as base classifiers in this ensemble framework with three operators: Min, Max, and Average. Each individual of the GP is an ensemble system, and they become more and more accurate in the evolutionary process. The feature selection technique and balanced subsampling technique are applied to increase the diversity in each ensemble system. The final ensemble committee is selected by a forward search algorithm, which is shown to be capable of fitting data automatically. The performance of GPES is evaluated using five binary class and six multiclass microarray datasets, and results show that the algorithm can achieve better results in most cases compared with some other ensemble systems. By using elaborate base classifiers or applying other sampling techniques, the performance of GPES may be further improved.

  3. Genetic control of wiring specificity in the fly olfactory system.

    Science.gov (United States)

    Hong, Weizhe; Luo, Liqun

    2014-01-01

    Precise connections established between pre- and postsynaptic partners during development are essential for the proper function of the nervous system. The olfactory system detects a wide variety of odorants and processes the information in a precisely connected neural circuit. A common feature of the olfactory systems from insects to mammals is that the olfactory receptor neurons (ORNs) expressing the same odorant receptor make one-to-one connections with a single class of second-order olfactory projection neurons (PNs). This represents one of the most striking examples of targeting specificity in developmental neurobiology. Recent studies have uncovered central roles of transmembrane and secreted proteins in organizing this one-to-one connection specificity in the olfactory system. Here, we review recent advances in the understanding of how this wiring specificity is genetically controlled and focus on the mechanisms by which transmembrane and secreted proteins regulate different stages of the Drosophila olfactory circuit assembly in a coordinated manner. We also discuss how combinatorial coding, redundancy, and error-correcting ability could contribute to constructing a complex neural circuit in general.

  4. Genetic Transformation System for the Fungal Soybean Pathogen Cercospora kikuchii.

    Science.gov (United States)

    Upchurch, R G; Ehrenshaft, M; Walker, D C; Sanders, L A

    1991-10-01

    An altered beta-tubulin gene that confers resistance to the fungicide benomyl was isolated from a genomic library of a UV-induced mutant of Cercospora kikuchii and used as a selectable marker for transformation. The level of benomyl resistance conferred to the transformants was at least 150-fold greater than the intrinsic resistance of the C. kikuchii recipient protoplasts. In the majority of cases, the tubulin fragment was integrated at the native beta-tubulin locus, apparently by gene replacement or gene conversion. The frequency of transformation ranged from 0.2 to 6 transformants per mug of DNA, depending on the recipient strain. Transformation with linearized plasmid resulted in a higher frequency, without changing the type of integration event. Transformants were phenotypically stable after eight consecutive transfers on medium without benomyl. This is the first report of a genetic transformation system for a Cercospora species.

  5. Generalizations about bacteriology: thermodynamic, open systems, genetic instructions, and evolution.

    Science.gov (United States)

    Trevors, J T

    2010-05-01

    Biological generalizations about bacteriology are discussed to provide a broad perspective of what we know about bacteria. Bacteriology (and possibly all biology) from an overall perspective can be researched and understood as observations and experimentations on mass and energy, which are themselves the products of evolutionary change for about 3.5-3.9 billion years. All organisms have mass, transform, store and use biochemical energy and obey the most fundamental of all laws--the laws of thermodynamics. Bacteria can be viewed as semi-permeable, thermodynamically open systems of mass, controlled by relatively small amounts of genetic instructions with lower entropy than their higher entropy, surrounding environments. Some fundamental properties describing bacterial life are also presented.

  6. Strawberry Maturity Neural Network Detectng System Based on Genetic Algorithm

    Science.gov (United States)

    Xu, Liming

    The quick and non-detective detection of agriculture product is one of the measures to increase the precision and productivity of harvesting and grading. Having analyzed H frequency of different maturities in different light intensities, the results show that H frequency for the same maturity has little influence in different light intensities; Under the same light intensity, three strawberry maturities are changing in order. After having confirmed the H frequency section to distinguish the different strawberry maturity, the triplelayer feed-forward neural network system to detect strawberry maturity was designed by using genetic algorithm. The test results show that the detecting precision ratio is 91.7%, it takes 160ms to distinguish one strawberry. Therefore, the online non-detective detecting the strawberry maturity could be realized.

  7. Genetically engineered biological agents in therapy for systemic lupus erythematosus

    Directory of Open Access Journals (Sweden)

    Elena Aleksandrovna Aseeva

    2013-01-01

    Full Text Available Systemic lupus erythematosus (SLE is a prototype for chronic autoimmune disease. Its prevalence is 20 to 70 cases per 100,000 women and varies by race and ethnicity. Despite considerable progress in traditional therapy, many problems associated with the management of these patients need to be immediately solved: thus, 50-80% are found to have activity signs and/or frequent exacerbations and about 30% of the patients have to stop work; Class IV lupus nephritis increases the risk of terminalrenal failure. In the past 20 years great progress has been made in studying the pathogenesis of SLE: biological targets to affect drugs have been sought and fundamentally new therapeutic goals defined. Belimumab is the first genetically biological agent specially designed to treat SLE, which is rightly regarded as one of the most important achievements of rheumatology in the past 50 years.

  8. Genetic and physiologic dissection of the vertebrate cardiac conduction system.

    Directory of Open Access Journals (Sweden)

    Neil C Chi

    2008-05-01

    Full Text Available Vertebrate hearts depend on highly specialized cardiomyocytes that form the cardiac conduction system (CCS to coordinate chamber contraction and drive blood efficiently and unidirectionally throughout the organism. Defects in this specialized wiring system can lead to syncope and sudden cardiac death. Thus, a greater understanding of cardiac conduction development may help to prevent these devastating clinical outcomes. Utilizing a cardiac-specific fluorescent calcium indicator zebrafish transgenic line, Tg(cmlc2:gCaMP(s878, that allows for in vivo optical mapping analysis in intact animals, we identified and analyzed four distinct stages of cardiac conduction development that correspond to cellular and anatomical changes of the developing heart. Additionally, we observed that epigenetic factors, such as hemodynamic flow and contraction, regulate the fast conduction network of this specialized electrical system. To identify novel regulators of the CCS, we designed and performed a new, physiology-based, forward genetic screen and identified for the first time, to our knowledge, 17 conduction-specific mutations. Positional cloning of hobgoblin(s634 revealed that tcf2, a homeobox transcription factor gene involved in mature onset diabetes of the young and familial glomerulocystic kidney disease, also regulates conduction between the atrium and the ventricle. The combination of the Tg(cmlc2:gCaMP(s878 line/in vivo optical mapping technique and characterization of cardiac conduction mutants provides a novel multidisciplinary approach to further understand the molecular determinants of the vertebrate CCS.

  9. Application of the genetic algorithm for optimisation of large solar hot water systems

    NARCIS (Netherlands)

    Loomans, M.G.L.C.; Visser, H.

    2002-01-01

    An implementation of the genetic algorithm in a design support tool for (large) solar hot water systems is described. The tool calculates the yield and the costs of solar hot water systems based on technical and financial data of the system components. The genetic algorithm allows for optimisation o

  10. Application of the genetic algorithm for optimisation of large solar hot water systems

    NARCIS (Netherlands)

    Loomans, M.G.L.C.; Visser, H.

    2002-01-01

    An implementation of the genetic algorithm in a design support tool for (large) solar hot water systems is described. The tool calculates the yield and the costs of solar hot water systems based on technical and financial data of the system components. The genetic algorithm allows for optimisation

  11. Genetic Diversity and Spatial Genetic Structure of the Grassland Perennial Saxifraga granulata along Two River Systems.

    Directory of Open Access Journals (Sweden)

    Sascha van der Meer

    Full Text Available Due to changes in land use, the natural habitats of an increasing number of plant species have become more and more fragmented. In landscapes that consist of patches of suitable habitat, the frequency and extent of long-distance seed dispersal can be expected to be an important factor determining local genetic diversity and regional population structure of the remaining populations. In plant species that are restricted to riparian habitats, rivers can be expected to have a strong impact on the dynamics and spatial genetic structure of populations as they may enable long-distance seed dispersal and thus maintain gene flow between fragmented populations. In this study, we used polymorphic microsatellite markers to investigate the genetic diversity and the spatial genetic structure of 28 populations of Saxifraga granulata along two rivers in central Belgium. We hypothesized that rivers might be essential for gene flow among increasingly isolated populations of this species. Genetic diversity was high (HS = 0.68, which to a certain extent can be explained by the octoploid nature of S. granulata in the study area. Populations along the Dijle and Demer rivers were also highly differentiated (G"ST = 0.269 and 0.164 and DEST = 0.190 and 0.124, respectively and showed significant isolation-by-distance, indicating moderate levels of gene flow primarily between populations that are geographically close to each other. Along the river Demer population genetic diversity was higher upstream than downstream, suggesting that seed dispersal via the water was not the primary mode of dispersal. Overall, these results indicate that despite increasing fragmentation populations along both rivers were highly genetically diverse. The high ploidy level and longevity of S. granulata have most likely buffered negative effects of fragmentation on genetic diversity and the spatial genetic structure of populations in riparian grasslands.

  12. Genetic Diversity and Spatial Genetic Structure of the Grassland Perennial Saxifraga granulata along Two River Systems.

    Science.gov (United States)

    van der Meer, Sascha; Jacquemyn, Hans

    2015-01-01

    Due to changes in land use, the natural habitats of an increasing number of plant species have become more and more fragmented. In landscapes that consist of patches of suitable habitat, the frequency and extent of long-distance seed dispersal can be expected to be an important factor determining local genetic diversity and regional population structure of the remaining populations. In plant species that are restricted to riparian habitats, rivers can be expected to have a strong impact on the dynamics and spatial genetic structure of populations as they may enable long-distance seed dispersal and thus maintain gene flow between fragmented populations. In this study, we used polymorphic microsatellite markers to investigate the genetic diversity and the spatial genetic structure of 28 populations of Saxifraga granulata along two rivers in central Belgium. We hypothesized that rivers might be essential for gene flow among increasingly isolated populations of this species. Genetic diversity was high (HS = 0.68), which to a certain extent can be explained by the octoploid nature of S. granulata in the study area. Populations along the Dijle and Demer rivers were also highly differentiated (G"ST = 0.269 and 0.164 and DEST = 0.190 and 0.124, respectively) and showed significant isolation-by-distance, indicating moderate levels of gene flow primarily between populations that are geographically close to each other. Along the river Demer population genetic diversity was higher upstream than downstream, suggesting that seed dispersal via the water was not the primary mode of dispersal. Overall, these results indicate that despite increasing fragmentation populations along both rivers were highly genetically diverse. The high ploidy level and longevity of S. granulata have most likely buffered negative effects of fragmentation on genetic diversity and the spatial genetic structure of populations in riparian grasslands.

  13. Genetic perspectives on the ascidian central nervous system

    Directory of Open Access Journals (Sweden)

    A Locascio

    2009-03-01

    Full Text Available In 2002, date of publication of the Ciona intestinalis genome, ascidians entered the post-genomic era. This tool had a fundamental role and has become the starting point for a series of new functional and genomic studies. Recently, great efforts have been done to characterize the genetic cascades of genes having a key role in early embryonic development and to draw the regulatory networks in which they are involved. In this review, we focused our attention on the last advances obtained in the attempt to clarify the complex molecular events governing ascidian central nervous system development with a special interest for anterior neural and sensory structures. We discussed the more recent theories on its early induction and late regionalization. In particular, we used some conserved genes fully or partially characterized as examples to compare ascidian and vertebrate central nervous system (CNS.By integrating the various results obtained with microarray, morpholino loss of function and promoter analyses, we showed that many progresses have been done to unravel the gene networks controlling early CNS induction and formation. Unfortunately, fewer advances have been done in the identification of the regulatory cascades controlling late CNS regionalization and sensory organs differentiation. Some results are discussed to point out the importance of fully characterizing also these specific regulatory cascades.

  14. From lesbian heroine to devoted wife: or, what the stage would allow.

    Science.gov (United States)

    Kendall, K

    1986-05-01

    Plays written by English women on the same historical subject appeared in 1696 and 1841. The earlier play, written in a period of active feminism, features Agnes de Castro as a lesbian heroine, probably the first in English stage history. The second, written in the age of Solomon Grundy, characterizes de Castro as a self-sacrificing, devoted heterosexual wife. Since both plays were written by women who would now be defined as lesbians, the treatment of the heroine seems more a reflection of audience than author. Study of the two plays with their sources and their authors' lives reveals much about audiences and the pressures a homophobic society can exert on lesbian artists who write for a living.

  15. Models of Holiness: Devotionals and Hagiographies to Saint Benedict of Palermo in New Spain

    Directory of Open Access Journals (Sweden)

    Rafael CASTAÑEDA GARCÍA

    2016-06-01

    Full Text Available The focus of this article is the hagiographies and novenas to San Benito de Palermo that circulated in the territories of New Spain, most of which were produced locally in the 18th and 19th centuries. While these devotional books can be used as a means of taking the measure of official holiness during the years of their publication, upon closer analysis this body of religious literature reveals the virtues and attributes of this Sicilian Saint that descended upon, among others, people of African descent. For this reason, the discussion surrounding his «skin color» constituted the principal obstacle against which this Negro Franciscan found himself struggling constantly. In the final section, the paper highlights the role of the Franciscans in New Spain during the colonial period in America as the community that, through the medium of the printing press, most strongly promoted the cult of this illustrious figure. 

  16. National Genetic Evaluation (System of Hanwoo (Korean Native Cattle

    Directory of Open Access Journals (Sweden)

    B. Park

    2013-02-01

    practically contributed to the improvement in aspects of quality and quantity. In sum, the current selection system is good enough to accommodate circumstances where fewer sires are used on many more cows. Although progeny tests take longer and cost more, they seem to be appropriate under the circumstances of the domestic market with its higher requirement for better meat quality. Consequently, accumulative data collection, genetic evaluation model development, revision of selection indices, as well as cooperation among farms, associations, National Agricultural Cooperative Federation, universities, research institutes, and government agencies must be applied to the Hanwoo selection program. All these efforts will assist the domestic market to secure a competitive position against imported beef under Free Trade Agreement trade system and will provide farmers with higher profits as well as the public with a higher quality of beef.

  17. A systems genetics approach provides a bridge from discovered genetic variants to biological pathways in rheumatoid arthritis.

    Directory of Open Access Journals (Sweden)

    Hirofumi Nakaoka

    Full Text Available Genome-wide association studies (GWAS have yielded novel genetic loci underlying common diseases. We propose a systems genetics approach to utilize these discoveries for better understanding of the genetic architecture of rheumatoid arthritis (RA. Current evidence of genetic associations with RA was sought through PubMed and the NHGRI GWAS catalog. The associations of 15 single nucleotide polymorphisms and HLA-DRB1 alleles were confirmed in 1,287 cases and 1,500 controls of Japanese subjects. Among these, HLA-DRB1 alleles and eight SNPs showed significant associations and all but one of the variants had the same direction of effect as identified in the previous studies, indicating that the genetic risk factors underlying RA are shared across populations. By receiver operating characteristic curve analysis, the area under the curve (AUC for the genetic risk score based on the selected variants was 68.4%. For seropositive RA patients only, the AUC improved to 70.9%, indicating good but suboptimal predictive ability. A simulation study shows that more than 200 additional loci with similar effect size as recent GWAS findings or 20 rare variants with intermediate effects are needed to achieve AUC = 80.0%. We performed the random walk with restart (RWR algorithm to prioritize genes for future mapping studies. The performance of the algorithm was confirmed by leave-one-out cross-validation. The RWR algorithm pointed to ZAP70 in the first rank, in which mutation causes RA-like autoimmune arthritis in mice. By applying the hierarchical clustering method to a subnetwork comprising RA-associated genes and top-ranked genes by the RWR, we found three functional modules relevant to RA etiology: "leukocyte activation and differentiation", "pattern-recognition receptor signaling pathway", and "chemokines and their receptors".These results suggest that the systems genetics approach is useful to find directions of future mapping strategies to illuminate

  18. Novel surface display system for proteins on non-genetically modified gram-positive bacteria

    NARCIS (Netherlands)

    Bosma, T; Kanninga, R; Neef, J; Audouy, SAL; van Roosmalen, ML; Steen, A; Buist, G; Kok, J; Kuipers, OP; Robillard, G; Leenhouts, K

    2006-01-01

    A novel display system is described that allows highly efficient immobilization of heterologous proteins on bacterial surfaces in applications for which the use of genetically modified bacteria is less desirable. This system is based on nonliving and non-genetically modified gram-positive bacterial

  19. Optimal Sensors and Actuators Placement for Large-Scale Unstable Systems via Restricted Genetic Algorithm

    DEFF Research Database (Denmark)

    Seyyed Sakha, Masoud; Shaker, Hamid Reza

    2017-01-01

    expensive. The computational burden is significant in particular for large-scale systems. In this paper, we develop a new technique for placing sensor and actuator in large-scale systems by using Restricted Genetic Algorithm (RGA). The RGA is a kind of genetic algorithm which is developed specifically...

  20. Applications of Systems Genetics and Biology for Obesity Using Pig Models

    DEFF Research Database (Denmark)

    Kogelman, Lisette J. A.; Kadarmideen, Haja N.

    2016-01-01

    In many biomedical research areas, animals have been used as a model to increase the understanding of molecular mechanisms involved in human diseases. One of those areas is human obesity, where porcine models are increasingly used. The pig shows genetic and physiological features that are very...... similar to humans and have shown to be an excellent model for human obesity. Using pig populations, many genetic studies have been performed to unravel the genetic architecture of human obesity. Most of them are pinpointing toward single genes, but more and more studies focus on a systems genetics...... approach, a branch of systems biology. In this chapter, we will describe the state of the art of genetic studies on human obesity, using pig populations. We will describe the features of using the pig as a model for human obesity and briefly discuss the genetics of obesity, and we will focus on systems...

  1. Genetic variants in diseases of the extrapyramidal system.

    Science.gov (United States)

    Oczkowska, Anna; Kozubski, Wojciech; Lianeri, Margarita; Dorszewska, Jolanta

    2014-02-01

    Knowledge on the genetics of movement disorders has advanced significantly in recent years. It is now recognized that disorders of the basal ganglia have genetic basis and it is suggested that molecular genetic data will provide clues to the pathophysiology of normal and abnormal motor control. Progress in molecular genetic studies, leading to the detection of genetic mutations and loci, has contributed to the understanding of mechanisms of neurodegeneration and has helped clarify the pathogenesis of some neurodegenerative diseases. Molecular studies have also found application in the diagnosis of neurodegenerative diseases, increasing the range of genetic counseling and enabling a more accurate diagno-sis. It seems that understanding pathogenic processes and the significant role of genetics has led to many experiments that may in the future will result in more effective treatment of such diseases as Parkinson's or Huntington's. Currently used molecular diagnostics based on DNA analysis can identify 9 neurodegenerative diseases, including spinal cerebellar ataxia inherited in an autosomal dominant manner, dentate-rubro-pallido-luysian atrophy, Friedreich's disease, ataxia with ocu-lomotorapraxia, Huntington's disease, dystonia type 1, Wilson's disease, and some cases of Parkinson's disease.

  2. Comprehensive allelotype and genetic anaysis of 466 human nervous system tumors

    DEFF Research Database (Denmark)

    von Deimling, A; Fimmers, R; Schmidt, M C

    2000-01-01

    Brain tumors pose a particular challenge to molecular oncology. Many different tumor entities develop in the nervous system and some of them appear to follow distinct pathogenic routes. Molecular genetic alterations have increasingly been reported in nervous system neoplasms. However...

  3. Systems genetics of obesity in an F2 pig model by genome-wide association, genetic network and pathway analyses

    Directory of Open Access Journals (Sweden)

    Lisette J. A. Kogelman

    2014-07-01

    Full Text Available Obesity is a complex condition with world-wide exponentially rising prevalence rates, linked with severe diseases like Type 2 Diabetes. Economic and welfare consequences have led to a raised interest in a better understanding of the biological and genetic background. To date, whole genome investigations focusing on single genetic variants have achieved limited success, and the importance of including genetic interactions is becoming evident. Here, the aim was to perform an integrative genomic analysis in an F2 pig resource population that was constructed with an aim to maximize genetic variation of obesity-related phenotypes and genotyped using the 60K SNP chip. Firstly, Genome Wide Association (GWA analysis was performed on the Obesity Index to locate candidate genomic regions that were further validated using combined Linkage Disequilibrium Linkage Analysis and investigated by evaluation of haplotype blocks. We built Weighted Interaction SNP Hub (WISH and differentially wired (DW networks using genotypic correlations amongst obesity-associated SNPs resulting from GWA analysis. GWA results and SNP modules detected by WISH and DW analyses were further investigated by functional enrichment analyses. The functional annotation of SNPs revealed several genes associated with obesity, e.g. NPC2 and OR4D10. Moreover, gene enrichment analyses identified several significantly associated pathways, over and above the GWA study results, that may influence obesity and obesity related diseases, e.g. metabolic processes. WISH networks based on genotypic correlations allowed further identification of various gene ontology terms and pathways related to obesity and related traits, which were not identified by the GWA study. In conclusion, this is the first study to develop a (genetic obesity index and employ systems genetics in a porcine model to provide important insights into the complex genetic architecture associated with obesity and many biological pathways

  4. Systems genetics of obesity in an F2 pig model by genome-wide association, genetic network, and pathway analyses.

    Science.gov (United States)

    Kogelman, Lisette J A; Pant, Sameer D; Fredholm, Merete; Kadarmideen, Haja N

    2014-01-01

    Obesity is a complex condition with world-wide exponentially rising prevalence rates, linked with severe diseases like Type 2 Diabetes. Economic and welfare consequences have led to a raised interest in a better understanding of the biological and genetic background. To date, whole genome investigations focusing on single genetic variants have achieved limited success, and the importance of including genetic interactions is becoming evident. Here, the aim was to perform an integrative genomic analysis in an F2 pig resource population that was constructed with an aim to maximize genetic variation of obesity-related phenotypes and genotyped using the 60K SNP chip. Firstly, Genome Wide Association (GWA) analysis was performed on the Obesity Index to locate candidate genomic regions that were further validated using combined Linkage Disequilibrium Linkage Analysis and investigated by evaluation of haplotype blocks. We built Weighted Interaction SNP Hub (WISH) and differentially wired (DW) networks using genotypic correlations amongst obesity-associated SNPs resulting from GWA analysis. GWA results and SNP modules detected by WISH and DW analyses were further investigated by functional enrichment analyses. The functional annotation of SNPs revealed several genes associated with obesity, e.g., NPC2 and OR4D10. Moreover, gene enrichment analyses identified several significantly associated pathways, over and above the GWA study results, that may influence obesity and obesity related diseases, e.g., metabolic processes. WISH networks based on genotypic correlations allowed further identification of various gene ontology terms and pathways related to obesity and related traits, which were not identified by the GWA study. In conclusion, this is the first study to develop a (genetic) obesity index and employ systems genetics in a porcine model to provide important insights into the complex genetic architecture associated with obesity and many biological pathways that underlie

  5. Genetic Model of an Aborted Porphyry-copper System

    Science.gov (United States)

    Papp, D. C.; Nitoi, E.; Szakacs, A.

    2009-05-01

    The Neogene Sturzii shallow intrusion from the East Carpathians (Bargau Mts., Romania), hosted by Paleogene-Miocene sediments of the Transcarpatian Flysch, developed as an immature porphyry copper structure. It consists of small volumes of dacites, andesites and related contact breccias, having a surface exposure of a few km2. Hydrothermal alteration occurred in the inner part of the intrusive body. The related mineralization consists of pyrite and chalcopyrite either as small veins or disseminated within the rock. A genetic model of the intrusive structure has been developed based on an integrated petrographic, geochemical, isotopic, fluid inclusion and geophysical study. The rapidly ascending calc-alkaline magmas that generated the intrusion are mantle-derived and contaminated with lower-crustal material. Pressure estimations for amphibole reveal significant differences between values corresponding to the crystal cores and rims, suggesting that decompression occurred during its crystallization. The occurrence of exploded fluid inclusions, as well as of primary igneous garnet, also indicate decompression regime during magma uplift and/or storage. All fluid inclusions identified in dacites are aqueous; C-N-S species were not detected. The general evolution of the fluids is toward decreasing salinity with decreasing temperature. Early high-T, high salinity fluids, most likely of magmatic origin, were subjected to a boiling event, related to a change of fluid pressure from litho- to hydrostatic, and followed by dilution with meteoric fluids as indicated by low salinities. These characteristics of the fluids suggest the tendency of the intrusion to evolve towards a porphyry copper system. We estimate that the evolution stopped due to decompression that allowed cold and dilute external fluids to enter the system and because of the small size of the intrusion that cooled down rapidly and could not induce extensive and long-lasting fluid circulation. Since there is no

  6. A special issue devoted to gold deposits in northern Nevada: Part 2. Carlin-type Deposits

    Science.gov (United States)

    Hofstra, Albert H.; John, David A.; Theodore, Ted G.

    2003-01-01

    This is the second of two special issues of Economic Geology devoted to gold deposits in northern Nevada. Readers interested in a general overview of these deposits, their economic significance, their context within the tectonic evolution of the region, and synoptic references on each gold deposit type are directed to the preface of the first special issue (John et al., 2003). Volume 98, issue 2, contains five papers that address regional aspects important to the genesis of gold deposits in northern Nevada and five papers that present detailed studies of epithermal deposits and districts. All of the regional papers are pertinent to Carlin-type gold deposits, because they address the age of mineralization (Arehart et al., 2003), origin and evolutionary history of the northwest-striking mineral belts that localize many deposits (Grauch et al., 2003), nature of the middle and lower crust below these mineral belts (Howard, 2003), district- to deposit-scale stream sediment and lithogeochemical anomalies (Theodore et al., 2003), and stratigraphy and structure of a district located along a northeast-striking lineament (Peters et al., 2003).

  7. In vitro selection with artificial expanded genetic information systems.

    Science.gov (United States)

    Sefah, Kwame; Yang, Zunyi; Bradley, Kevin M; Hoshika, Shuichi; Jiménez, Elizabeth; Zhang, Liqin; Zhu, Guizhi; Shanker, Savita; Yu, Fahong; Turek, Diane; Tan, Weihong; Benner, Steven A

    2014-01-28

    Artificially expanded genetic information systems (AEGISs) are unnatural forms of DNA that increase the number of independently replicating nucleotide building blocks. To do this, AEGIS pairs are joined by different arrangements of hydrogen bond donor and acceptor groups, all while retaining their Watson-Crick geometries. We report here a unique case where AEGIS DNA has been used to execute a systematic evolution of ligands by exponential enrichment (SELEX) experiment. This AEGIS-SELEX was designed to create AEGIS oligonucleotides that bind to a line of breast cancer cells. AEGIS-SELEX delivered an AEGIS aptamer (ZAP-2012) built from six different kinds of nucleotides (the standard G, A, C, and T, and the AEGIS nonstandard P and Z nucleotides, the last having a nitro functionality not found in standard DNA). ZAP-2012 has a dissociation constant of 30 nM against these cells. The affinity is diminished or lost when Z or P (or both) is replaced by standard nucleotides and compares well with affinities of standard GACT aptamers selected against cell lines using standard SELEX. The success of AEGIS-SELEX relies on various innovations, including (i) the ability to synthesize GACTZP libraries, (ii) polymerases that PCR amplify GACTZP DNA with little loss of the AEGIS nonstandard nucleotides, and (iii) technologies to deep sequence GACTZP DNA survivors. These results take the next step toward expanding the power and utility of SELEX and offer an AEGIS-SELEX that could possibly generate receptors, ligands, and catalysts having sequence diversities nearer to that displayed by proteins.

  8. Genetic improvement of Trichoderma ability to induce systemic resistance

    Institute of Scientific and Technical Information of China (English)

    Ciliento R; Mach R L; Lorito M; Woo S L; Di Benedetto P; Ruocco M; Scala F; Soriente I; Ferraioli S; Brunner K; Zeilinger S

    2004-01-01

    @@ The beneficial applications of Trichoderma spp. in agriculture include not only the control of plant pathogens, but also the improvement of plant growth, micronutrient availability, and plant tolerance to abiotic stress. In addition, it has been suggested that these fungi are able to increase plant disease resistance by activating induced systemic resistance (ISR) . The mode of action of these beneficial fungi in the Trichoderma -plant-pathogen interaction are many, complex and not completely understood. Numerous lytic enzymes have been characterized, the encoding genes (ech42 gluc78,nag1 from T. atroviride strain P1) cloned, and their role in biocontrol demonstrated. The corresponding biocontrol-related inducible promoters have been used in a reporter system based on the Aspergillus niger glucose oxidase gene (goxA) to monitor biocontrol activity. Glucose oxidase catalyzes the oxygen-dependent oxidation of D-glucose to D-glucono-1, 5-lactone and hydrogen peroxide; this latter compound is known to have an antifungal effect and activate the plant defence cascade, thus increasing resistance to pathogen attack. T. atroviride P1 transformants with various promoters gox were tested as seed coating treatments on bean seeds planted in soil infested with a soilborne fungal pathogen. Successively, the emergent leaves were inoculated with a foliar pathogen to determine the effect of the GOX transformants on biocontrol and resistance to pathogen attack.Inoculations with the P1-GOX transformants not only reduced disease symptoms caused by a soil pathogen, but also the lesions of various foliar pathogens applied far from the Trichoderma colonization, thus activating ISR. A similar approach is being use to genetically improve T.harzianum T22, a rhizosphere competent and commercially marketed strain not transformed yet, by using four different gox gene constructs under the control of constitutive and inducible promoters.Plasmids have been introduced in Trichoderma by

  9. Genetic Programming for Medicinal Plant Family Identification System

    Directory of Open Access Journals (Sweden)

    Indra Laksmana

    2014-11-01

    Full Text Available Information about medicinal plants that is available in text documents is generally quite easy to access, however, one needs some efforts to use it. This research was aimed at utilizing crucial information taken from a text document to identify the family of several species of medicinal plants using a heuristic approach, i.e. genetic programming. Each of the species has its unique features. The genetic program puts the characteristics or special features of each family into a tree form. There are a number of processes involved in the investigated method, i.e. data acquisition, booleanization, grouping of training and test data, evaluation, and analysis. The genetic program uses a training process to select the best individual, initializes a generate-rule process to create several individuals and then executes a fitness evaluation. The next procedure is a genetic operation process, which consists of tournament selection to choose the best individual based on a fitness value, the crossover operation and the mutation operation. These operations have the purpose of complementing the individual. The best individual acquired is the expected solution, which is a rule for classifying medicinal plants. This process produced three rules, one for each plant family, displaying a feature structure that distinguishes each of the families from each other. The genetic program then used these rules to identify the medicinal plants, achieving an average accuracy of 86.47%.

  10. Genetic and potential non-genetic benefits increase offspring fitness of polyandrous females in non-resource based mating system

    Directory of Open Access Journals (Sweden)

    Peuhkuri Nina

    2010-01-01

    Full Text Available Abstract Background The adaptive significance of female polyandry is currently under considerable debate. In non-resource based mating systems, indirect, i.e. genetic benefits have been proposed to be responsible for the fitness gain from polyandry. We studied the benefits of polyandry in the Arctic charr (Salvelinus alpinus using an experimental design in which the material investments by the sires and maternal environmental effects were controlled. Results Embryonic mortality showed a strong paternal genetic component, and it was lower in polyandrously fertilized offspring (sperm competition of two males than in monandrous fertilizations. We also found that high sperm velocity was associated with low offspring mortality, but not with the size of the offspring or their yolk volume. Although no male effect was found on the size of the offspring yolk reserves, yolk volume was higher in offspring from polyandrous matings than offspring of the either of the two males when mated monandrously. Conclusions In support of the "good sperm hypothesis, we found that sperm velocity was positively associated with offspring fitness. In addition, our results suggest that polyandrous females gain genetic advantage (higher offspring survival from this behavior, but that some benefits of polyandry (larger yolk volume may not be explained solely by the additive genetic effects. This suggests that sperm competition environment may intensify the selection on genetically superior sperm which in turn may produce offspring that have superior yolk reserves. However, as high sperm velocity was not associated with larger yolk volume, it is possible that also some other non-genetic effects may contribute to offspring fitness. The potential role of polyandrous mating in inbreeding avoidance is discussed.

  11. From integrative genomics to systems genetics in the rat to link genotypes to phenotypes

    Science.gov (United States)

    Moreno-Moral, Aida

    2016-01-01

    ABSTRACT Complementary to traditional gene mapping approaches used to identify the hereditary components of complex diseases, integrative genomics and systems genetics have emerged as powerful strategies to decipher the key genetic drivers of molecular pathways that underlie disease. Broadly speaking, integrative genomics aims to link cellular-level traits (such as mRNA expression) to the genome to identify their genetic determinants. With the characterization of several cellular-level traits within the same system, the integrative genomics approach evolved into a more comprehensive study design, called systems genetics, which aims to unravel the complex biological networks and pathways involved in disease, and in turn map their genetic control points. The first fully integrated systems genetics study was carried out in rats, and the results, which revealed conserved trans-acting genetic regulation of a pro-inflammatory network relevant to type 1 diabetes, were translated to humans. Many studies using different organisms subsequently stemmed from this example. The aim of this Review is to describe the most recent advances in the fields of integrative genomics and systems genetics applied in the rat, with a focus on studies of complex diseases ranging from inflammatory to cardiometabolic disorders. We aim to provide the genetics community with a comprehensive insight into how the systems genetics approach came to life, starting from the first integrative genomics strategies [such as expression quantitative trait loci (eQTLs) mapping] and concluding with the most sophisticated gene network-based analyses in multiple systems and disease states. Although not limited to studies that have been directly translated to humans, we will focus particularly on the successful investigations in the rat that have led to primary discoveries of genes and pathways relevant to human disease. PMID:27736746

  12. Applying Software Engineering Methodology for Designing Biomedical Software Devoted To Electronic Instrumentation

    Directory of Open Access Journals (Sweden)

    Alderico Rodrigues de Paula Junior

    2012-01-01

    Full Text Available Problem statement: Significant effort goes into the development of biomedical software, which is integrated with computers/processors, sensors and electronic instrumentation devoted to a specific application. However, the scientific work on electronic instrumentation controlled by biomedical software has not emphasized software development, instead focusing mainly on electronics engineering. The development team is rarely composed of Software Engineering (SE experts. Usually, a commercial automated tools environment is not used due to its high cost and complexity for researchers from other areas to understand. Approach: This present study reports how the SE approach was applied to design and develop biomedical software, which is part of a Computerized Electronic Instrumentation (CEI. This CEI comprises software and an electronic instrumentation based on a force sensor and electrogoniometer to monitor the hand exertion of computer user during typing task. The aim is to serve as a guideline for academic researchers who are not expert in software engineering methodology but usually develop their own software to run with their CEI. The specification of the requirements, presented as use case, includes the context diagram, the data flow diagram, the entity relationship diagram and test procedure. The Unified Modelling Language from the Enterprise Architect tool was used. The developed software and the electronic instrumentation were tested together. Results: A sample of the interface screen shows how the outcomes could be plotted in an integrated manner. By comparing the values with other values obtained by manual calculations and with those provided by sensor manufacturer, the repeatability of test procedure validated the results. Reliable electronic instrumentation when working with unreliable software can become unreliable. Conclusion: Applying software engineering methodology principles provided a simple and clear documentation that was helpful

  13. Community acquired pneumonia: genetic variants influencing systemic inflammation.

    Science.gov (United States)

    Ferrer Agüero, J M; Millán, S; Rodríguez de Castro, F; Martín-Loeches, I; Solé Violán, J

    2014-01-01

    The inflammatory response depends on several factors, including pathogenicity and duration of the stimulus, and also on the balance between inflammatory and antiinflammatory response. Several studies have presented evidence of the importance of genetic factors in severe infections. The innate immune response prevents the invasion and spread of pathogens during the first hours after infection. Each of the different processes involved in innate immunity may be affected by genetic polymorphisms, which can result in susceptibility or resistance to infection. The results obtained in the different studies do not irrefutably prove the role or function of a gene in the pathogenesis of respiratory infections. However, they can generate new hypotheses, suggest new candidate genes based on their role in the inflammatory response, and constitute a first step in understanding the underlying genetic factors. Copyright © 2013 Elsevier España, S.L. and SEMICYUC. All rights reserved.

  14. Multi-island Genetic Algorithm Opetimization of Suspension System

    Directory of Open Access Journals (Sweden)

    Li-Wei Xu

    2012-11-01

    Full Text Available The suspension and the car's operating stability are closely linked. Through the optimization of the suspension, it can improve the operating stability of vehicle, which is very meaningful to enhance the performance of modern cars. With the development of science and technology, the traditional optimization methods often appear insufficient when it deals with the multi-objective optimization problem of the automotive suspension. As a kind of improved genetic algorithm, the multi-island genetic algorithm can handle the multi-objective problem very well. In order to improve the vehicle handling stability, in this paper, the multi-island genetic algorithm is used to optimize the suspension parameters, combined with the iSight-FD and the Adams/car.

  15. Control of Complex Systems Using Bayesian Networks and Genetic Algorithm

    CERN Document Server

    Marwala, Tshilidzi

    2007-01-01

    A method based on Bayesian neural networks and genetic algorithm is proposed to control the fermentation process. The relationship between input and output variables is modelled using Bayesian neural network that is trained using hybrid Monte Carlo method. A feedback loop based on genetic algorithm is used to change input variables so that the output variables are as close to the desired target as possible without the loss of confidence level on the prediction that the neural network gives. The proposed procedure is found to reduce the distance between the desired target and measured outputs significantly.

  16. Systems genetics analysis of pharmacogenomics variation during antidepressant treatment

    DEFF Research Database (Denmark)

    Madsen, M. B.; Kogelman, L. J. A.; Kadarmideen, H. N.

    2017-01-01

    Selective serotonin reuptake inhibitors (SSRIs) are the most widely used antidepressants, but the efficacy of the treatment varies significantly among individuals. It is believed that complex genetic mechanisms play a part in this variation. We have used a network based approach to unravel the in...... genes involved in calcium homeostasis. In conclusion, we suggest a difference in genetic interaction networks between initial and subsequent SSRI response.The Pharmacogenomics Journal advance online publication, 18 October 2016; doi:10.1038/tpj.2016.68....

  17. The Possibility to Use Genetic Algorithms and Fuzzy Systems in the Development of Tutorial Systems

    Directory of Open Access Journals (Sweden)

    Anca Ioana ANDREESCU

    2006-01-01

    Full Text Available In this paper we are presenting state of the art information methods and techniques that can be applied in the development of efficient tutorial systems and also the possibility to use genetic algorithms and fuzzy systems in the construction of such systems. All this topics have been studied during the development of the research project INFOSOC entitled "Tutorial System based on Eduknowledge for Work Security and Health in SMEs According to the European Union Directives" accomplished by a teaching stuff from the Academy of Economic Studies, Bucharest, in collaboration with the National Institute for Research and Development in Work Security, the National Institute for Small and Middle Enterprises and SC Q’NET International srl.

  18. Teaching Applied Genetics and Molecular Biology to Agriculture Engineers. Application of the European Credit Transfer System

    Science.gov (United States)

    Weiss, J.; Egea-Cortines, M.

    2008-01-01

    We have been teaching applied molecular genetics to engineers and adapted the teaching methodology to the European Credit Transfer System. We teach core principles of genetics that are universal and form the conceptual basis of most molecular technologies. The course then teaches widely used techniques and finally shows how different techniques…

  19. An Interpretation of Part of Gilbert Gottlieb's Legacy: Developmental Systems Theory Contra Developmental Behavior Genetics

    Science.gov (United States)

    Molenaar, Peter C. M.

    2015-01-01

    The main theme of this paper concerns the persistent critique of Gilbert Gottlieb on developmental behavior genetics and my reactions to this critique, the latter changing from rejection to complete acceptation. Concise characterizations of developmental behavior genetics, developmental systems theory (to which Gottlieb made essential…

  20. Optimization of Electrical System for a Large DC Offshore Wind Farm by Genetic Algorithm

    DEFF Research Database (Denmark)

    Zhao, Menghua; Chen, Zhe; Blaabjerg, Frede

    2004-01-01

    This paper proposes an optimization platform based on Genetic Algorithm, where the main components of the electrical system of a wind farm and key technical specifications are used as input parameters and the topology of the electrical system is to be optimized for a minimum cost and high...... reliability. A method to encode and decode an electrical system is studied. The reliability evaluation for a given network is also investigated. Genetic Algorithm is implemented to find the optimum network design for a large DC wind farm. It is concluded that different topologies may cause very different cost...... and reliability, and the Genetic Algorithm is capable of finding the optimum solution....

  1. Optimization of Electrical System for a Large DC Offshore Wind Farm by Genetic Algorithm

    DEFF Research Database (Denmark)

    Zhao, Menghua; Chen, Zhe; Blaabjerg, Frede

    2004-01-01

    This paper proposes an optimization platform based on Genetic Algorithm, where the main components of the electrical system of a wind farm and key technical specifications are used as input parameters and the topology of the electrical system is to be optimized for a minimum cost and high...... reliability. A method to encode and decode an electrical system is studied. The reliability evaluation for a given network is also investigated. Genetic Algorithm is implemented to find the optimum network design for a large DC wind farm. It is concluded that different topologies may cause very different cost...... and reliability, and the Genetic Algorithm is capable of finding the optimum solution....

  2. Population Genetics and Genetic Variability ofBulinus globosus (Gastropoda: Planorbidae) From the Two Main River Systems in Zimbabwe

    DEFF Research Database (Denmark)

    Mukaratirwa, S.; Siegismund, Hans Redlef; Kristensen, Thomas K.

    1996-01-01

    Bullnus globosus is the only known vector of Schistosoma haematoblum in Zimbabwe. The population genetic structure of this vector snail from the two main river drainage systems, represented by 27 localities, was determined from starch gel lsoenzyme electrophoretic data. Out of 11 enzyme systems...... of ecological factors (drought/desiccation and floods), genetic drift, and seasonal gene flow as the main factors influencing the genetic structure of these populations....

  3. Comparison between genetic fuzzy system and neuro fuzzy system to select oil wells for hydraulic fracturing; Comparacao entre genetic fuzzy system e neuro fuzzy system para selecao de pocos de petroleo para fraturamento hidraulico

    Energy Technology Data Exchange (ETDEWEB)

    Castro, Antonio Orestes de Salvo [PETROBRAS, Rio de Janeiro, RJ (Brazil); Ferreira Filho, Virgilio Jose Martins [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil)

    2004-07-01

    The hydraulic fracture operation is wide used to increase the oil wells production and to reduce formation damage. Reservoir studies and engineer analysis are made to select the wells for this kind of operation. As the reservoir parameters have some diffuses characteristics, Fuzzy Inference Systems (SIF) have been tested for this selection processes in the last few years. This paper compares the performance of a neuro fuzzy system and a genetic fuzzy system used for hydraulic Fracture well selection, with knowledge acquisition from an operational data base to set the SIF membership functions. The training data and the validation data used were the same for both systems. We concluded that, in despite of the genetic fuzzy system would be a younger process, it got better results than the neuro fuzzy system. Another conclusion was that, as the genetic fuzzy system can work with constraints, the membership functions setting kept the consistency of variables linguistic values. (author)

  4. The behavioural and genetic mating system of the sand tiger shark, Carcharias taurus, an intrauterine cannibal.

    Science.gov (United States)

    Chapman, Demian D; Wintner, Sabine P; Abercrombie, Debra L; Ashe, Jimiane; Bernard, Andrea M; Shivji, Mahmood S; Feldheim, Kevin A

    2013-06-23

    Sand tiger sharks (Carcharias taurus) have an unusual mode of reproduction, whereby the first embryos in each of the paired uteri to reach a certain size ('hatchlings') consume all of their smaller siblings during gestation ('embryonic cannibalism' or EC). If females commonly mate with multiple males ('behavioural polyandry') then litters could initially have multiple sires. It is possible, however, that EC could exclude of all but one of these sires from producing offspring thus influencing the species genetic mating system ('genetic monogamy'). Here, we use microsatellite DNA profiling of mothers and their litters (n = 15, from two to nine embryos per litter) to quantify the frequency of behavioural and genetic polyandry in this system. We conservatively estimate that nine of the females we examined (60%) were behaviourally polyandrous. The genetic mating system was characterized by assessing sibling relationships between hatchlings and revealed only 40 per cent genetic polyandry (i.e. hatchlings were full siblings in 60% of litters). The discrepancy stemmed from three females that were initially fertilized by multiple males but only produced hatchlings with one of them. This reveals that males can be excluded even after fertilizing ova and that some instances of genetic monogamy in this population arise from the reduction in litter size by EC. More research is needed on how cryptic post-copulatory and post-zygotic processes contribute to determining paternity and bridging the behavioural and genetic mating systems of viviparous species.

  5. The behavioural and genetic mating system of the sand tiger shark, Carcharias taurus, an intrauterine cannibal

    Science.gov (United States)

    Chapman, Demian D.; Wintner, Sabine P.; Abercrombie, Debra L.; Ashe, Jimiane; Bernard, Andrea M.; Shivji, Mahmood S.; Feldheim, Kevin A.

    2013-01-01

    Sand tiger sharks (Carcharias taurus) have an unusual mode of reproduction, whereby the first embryos in each of the paired uteri to reach a certain size (‘hatchlings’) consume all of their smaller siblings during gestation (‘embryonic cannibalism’ or EC). If females commonly mate with multiple males (‘behavioural polyandry’) then litters could initially have multiple sires. It is possible, however, that EC could exclude of all but one of these sires from producing offspring thus influencing the species genetic mating system (‘genetic monogamy’). Here, we use microsatellite DNA profiling of mothers and their litters (n = 15, from two to nine embryos per litter) to quantify the frequency of behavioural and genetic polyandry in this system. We conservatively estimate that nine of the females we examined (60%) were behaviourally polyandrous. The genetic mating system was characterized by assessing sibling relationships between hatchlings and revealed only 40 per cent genetic polyandry (i.e. hatchlings were full siblings in 60% of litters). The discrepancy stemmed from three females that were initially fertilized by multiple males but only produced hatchlings with one of them. This reveals that males can be excluded even after fertilizing ova and that some instances of genetic monogamy in this population arise from the reduction in litter size by EC. More research is needed on how cryptic post-copulatory and post-zygotic processes contribute to determining paternity and bridging the behavioural and genetic mating systems of viviparous species. PMID:23637391

  6. GENETIC ALGORITHM BASED PARAMETER TUNING OF PID CONTROLLER FOR COMPOSITION CONTROL SYSTEM

    Directory of Open Access Journals (Sweden)

    Bhawna Tandon

    2011-08-01

    Full Text Available A Composition control system is discussed in this paper in which the PID controller is tuned using Genetic Algorithm & Ziegler-Nichols Tuning Criteria. Tuning methods for PID controllers are very importantfor the process industries. Traditional methods such as Ziegler-Nichols method often do not provide adequate tuning. Genetic Algorithm (GA as an intelligent approach has also been widely used to tune the parameters of PID. Genetic algorithms are used to create an objective function that can evaluate the optimum PID gains based on the controlled systems overall error.

  7. Evolving Rule-Based Systems in two Medical Domains using Genetic Programming

    DEFF Research Database (Denmark)

    Tsakonas, A.; Dounias, G.; Jantzen, Jan

    2004-01-01

    We demonstrate, compare and discuss the application of two genetic programming methodologies for the construction of rule-based systems in two medical domains: the diagnosis of Aphasia's subtypes and the classification of Pap-Smear Test examinations. The first approach consists of a scheme...... that combines genetic programming and heuristic hierarchical crisp rule-base construction. The second model is composed by a grammar driven genetic programming system for the generation of fuzzy rule-based systems. Results are also compared for their efficiency, accuracy and comprehensibility, to those...... of a standard entropy based machine learning approach and to those of a standard genetic programming symbolic expression approach. In the diagnosis of subtypes of Aphasia, two models for crisp rule-bases are presented. The first one discriminates between four major types and the second attempts...

  8. Two prototype tools for assessing good environmental/ecological status (GES) in aquatic ecosystems – DEVOTES and WATERS

    DEFF Research Database (Denmark)

    Murray, Ciarán; Carstensen, Jacob; Andersen, Jesper

    2015-01-01

    We present two prototype tools for assessment of GES (good ecological status and good environmental status) in aquatic ecosystems: the DEVOTES biodiversity assessment tool (for the MSFD) and the WATERS ecological status assessment tool (for the WFD). Both tools are multi-metric indicator-based to...

  9. Molecular Genetic and Gene Therapy Studies of the Musculoskeletal System

    Science.gov (United States)

    2005-10-01

    Molecular Genetics Division, Ohio State University. For reporting purpose, the ’Smad2’ sign indicates a disabled copy of ’Smad2’ gene while the ’+’ sign...skeletal mass in third- and fourth-grade children : Effects of age, gender, ethnicity and body composition. Bone 20:73-78. 18. Thomas, T. and Burguera, B...strand buffer mix (250 mM Tris HCI (pH 8.3 at RT), 375 mM KCI, 15 mM MgCI, I ul of 0.1 M DTT and 1 ul of RNAse Out, recombinant RNAse inhibitor

  10. Control of the lighting system using a genetic algorithm

    Directory of Open Access Journals (Sweden)

    Čongradac Velimir D.

    2012-01-01

    Full Text Available The manufacturing, distribution and use of electricity are of fundamental importance for the social life and they have the biggest influence on the environment associated with any human activity. The energy needed for building lighting makes up 20-40% of the total consumption. This paper displays the development of the mathematical model and genetic algorithm for the control of dimmable lighting on problems of regulating the level of internal lighting and increase of energetic efficiency using daylight. A series of experiments using the optimization algorithm on the realized model confirmed very high savings in electricity consumption.

  11. The genetic architecture of the human immune system: a bioresource for autoimmunity and disease pathogenesis.

    Science.gov (United States)

    Roederer, Mario; Quaye, Lydia; Mangino, Massimo; Beddall, Margaret H; Mahnke, Yolanda; Chattopadhyay, Pratip; Tosi, Isabella; Napolitano, Luca; Terranova Barberio, Manuela; Menni, Cristina; Villanova, Federica; Di Meglio, Paola; Spector, Tim D; Nestle, Frank O

    2015-04-09

    Despite recent discoveries of genetic variants associated with autoimmunity and infection, genetic control of the human immune system during homeostasis is poorly understood. We undertook a comprehensive immunophenotyping approach, analyzing 78,000 immune traits in 669 female twins. From the top 151 heritable traits (up to 96% heritable), we used replicated GWAS to obtain 297 SNP associations at 11 genetic loci, explaining up to 36% of the variation of 19 traits. We found multiple associations with canonical traits of all major immune cell subsets and uncovered insights into genetic control for regulatory T cells. This data set also revealed traits associated with loci known to confer autoimmune susceptibility, providing mechanistic hypotheses linking immune traits with the etiology of disease. Our data establish a bioresource that links genetic control elements associated with normal immune traits to common autoimmune and infectious diseases, providing a shortcut to identifying potential mechanisms of immune-related diseases.

  12. Molecular genetic variability, population structure and mating system in tropical forages

    Directory of Open Access Journals (Sweden)

    Melissa Garcia

    2013-09-01

    Full Text Available Microsatellite (SSR markers were developed for the following tropical forage species, using accessions available from the plant genetic resources (PGR collections held by EMBRAPA (Brazilian Agricultural Research Corporation: Brachiaria brizantha, B. humidicola, Panicum maximum, Paspalum spp., Stylosanthes capitata, S. guianensis, S. macrocephala, Calopogonium mucunoides and Centrosema spp. The markers were used to analyze population structure and genetic diversity, evolution and origin of the genetic variability in the center of origin, mating systems and genetic resources in EMBRAPA’s germplasm bank. The results shed light on the amount of genetic variation within and between populations, revealed the need in some cases for further plant collection to adequately represent the species in PGR collections, allowed us to assemble core collections (subsets of the total collections that should contain most of the available diversity and (in the case of the legumes showed the need to avoid unwanted outcrossing when regenerating conserved material. The data will allow plant breeders to better select accessions for hybrid production, discriminate between genotypes and use marker-assisted selection in breeding programs. Our results will also underpin the construction of genetic maps, mapping of genes of agronomic interest and numerous other studies on genetic variability, population structure, gene flow and reproductive systems for the tropical forage species studied in this work.

  13. Setaria viridis as a model system to advance millet genetics and genomics

    Directory of Open Access Journals (Sweden)

    Pu Huang

    2016-11-01

    Full Text Available Millet is a common name for a group of polyphyletic, small-seeded cereal crops that include pearl, finger and foxtail millet. Millet species are an important source of calories for many societies, often in developing countries. Compared to major cereal crops such as rice and maize, millets are generally better adapted to dry and hot environments. Despite their food security value, the genetic architecture of agronomically important traits in millets, including both morphological traits and climate resilience remains poorly studied. These complex traits have been challenging to dissect in large part because of the lack of sufficient genetic tools and resources. In this article, we review the phylogenetic relationship among various millet species and discuss the value of a genetic model system for millet research. We propose that a broader adoption of green foxtail (Setaria viridis as a model system for millets could greatly accelerate the pace of gene discovery in the millets, and summarize available and emerging resources in S. viridis and its domesticated relative S. italica. These resources have value in forward genetics, reverse genetics and high throughput phenotyping. We describe methods and strategies to best utilize these resources to facilitate the genetic dissection of complex traits. We envision that coupling cutting-edge technologies and the use of S. viridis for gene discovery will accelerate genetic research in millets in general. This will enable strategies and provide opportunities to increase productivity, especially in the semi-arid tropics of Asia and Africa where millets are staple food crop.

  14. A New Selectable Marker System for Genetic Studies of Bacteria: Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Parsons, D; Tolmasky, M; Chain, P; Segelke, B W

    2011-03-18

    Genetic manipulations in bacteria currently rely on the introduction of antibiotic resistance genes into a bacterial strain; for those organisms that will be used for commercial or industrial applications, the genetic cassette encoding the antibiotic resistance is sometimes removed after selection. it is clear that if alternative technologies could obviate the need to introduce antibiotic resistance into bacteria, they would most certainly become a standard tool in molecular micriobiology for commercial, industrial as well as research applications. Here, they present the development of a novel genetic engineering technology based on toxin-antitoxin systems to modify bacterial genomes without the use of antibiotic resistance in the mutagenesis process. The primary goal is to develop antibiotic-free selection for genetically altered select agent pathogens. They are adapting the toxinc-antitoxin system to enable gene replacement in select agent pathogens since the NIH restrictions introducing antibiotic resistance into select agent pathogens have hindered research with select agent pathogens.

  15. Moving towards system genetics through multiple trait analysis in genome-wide association studies

    Directory of Open Access Journals (Sweden)

    Daniel eShriner

    2012-01-01

    Full Text Available Association studies are a staple of genotype-phenotype mapping studies, whether they are based on single markers, haplotypes, candidate genes, genome-wide genotypes, or whole genome sequences. Although genetic epidemiological studies typically contain data collected on multiple traits which themselves are often correlated, most analyses have been performed on single traits. Here, I review several methods that have been developed to perform multiple trait analysis. These methods range from traditional multivariate models for systems of equations to recently developed graphical approaches based on network theory. The application of network theory to genetics is termed systems genetics and has the potential to address long-standing questions in genetics about complex processes such as coordinate regulation, homeostasis, and pleiotropy.

  16. A Hybrid Genetic Algorithm for Reduct of Attributes in Decision System Based on Rough Set Theory

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Knowledge reduction is an important issue when dealing with huge amounts of data. And it has been proved that computing the minimal reduct of decision system is NP-complete. By introducing heuristic information into genetic algorithm, we proposed a heuristic genetic algorithm. In the genetic algorithm, we constructed a new operator to maintaining the classification ability. The experiment shows that our algorithm is efficient and effective for minimal reduct, even for the special example that the simple heuristic algorithm can't get the right result.

  17. Genetic Architecture of Atherosclerosis in Mice: A Systems Genetics Analysis of Common Inbred Strains.

    Directory of Open Access Journals (Sweden)

    Brian J Bennett

    2015-12-01

    Full Text Available Common forms of atherosclerosis involve multiple genetic and environmental factors. While human genome-wide association studies have identified numerous loci contributing to coronary artery disease and its risk factors, these studies are unable to control environmental factors or examine detailed molecular traits in relevant tissues. We now report a study of natural variations contributing to atherosclerosis and related traits in over 100 inbred strains of mice from the Hybrid Mouse Diversity Panel (HMDP. The mice were made hyperlipidemic by transgenic expression of human apolipoprotein E-Leiden (APOE-Leiden and human cholesteryl ester transfer protein (CETP. The mice were examined for lesion size and morphology as well as plasma lipid, insulin and glucose levels, and blood cell profiles. A subset of mice was studied for plasma levels of metabolites and cytokines. We also measured global transcript levels in aorta and liver. Finally, the uptake of acetylated LDL by macrophages from HMDP mice was quantitatively examined. Loci contributing to the traits were mapped using association analysis, and relationships among traits were examined using correlation and statistical modeling. A number of conclusions emerged. First, relationships among atherosclerosis and the risk factors in mice resemble those found in humans. Second, a number of trait-loci were identified, including some overlapping with previous human and mouse studies. Third, gene expression data enabled enrichment analysis of pathways contributing to atherosclerosis and prioritization of candidate genes at associated loci in both mice and humans. Fourth, the data provided a number of mechanistic inferences; for example, we detected no association between macrophage uptake of acetylated LDL and atherosclerosis. Fifth, broad sense heritability for atherosclerosis was much larger than narrow sense heritability, indicating an important role for gene-by-gene interactions. Sixth, stepwise linear

  18. Genetic Evaluation of Children with Global Developmental Delay—Current Status of Network Systems in Taiwan

    Directory of Open Access Journals (Sweden)

    Yong-Lin Foo

    2015-08-01

    Full Text Available This review article aims to introduce the screening and referral network of genetic evaluation for children with developmental delay in Taiwan. For these children, integrated systems provide services from the medical, educational, and social welfare sectors. All cities and counties in Taiwan have established a network for screening, detection, referral, evaluation, and intervention services. Increased awareness improves early detection and intervention. There remains a gap between supply and demand, especially with regard to financial resources and professional manpower. Genetic etiology has a major role in prenatal causes of developmental delay. A summary of reports on some related genetic disorders in the Taiwanese population is included in this review. Genetic diagnosis allows counseling with regard to recurrence risk and prevention. Networking with neonatal screening, laboratory diagnosis, genetic counseling, and orphan drugs logistics systems can provide effective treatment for patients. In Taiwan, several laboratories provide genetic tests for clinical diagnosis. Accessibility to advanced expensive tests such as gene chips or whole exome sequencing is limited because of funding problems; however, the service system in Taiwan can still operate in a relatively cost-effective manner. This experience in Taiwan may serve as a reference for other countries.

  19. Genetic Evaluation of Children with Global Developmental Delay--Current Status of Network Systems in Taiwan.

    Science.gov (United States)

    Foo, Yong-Lin; Chow, Julie Chi; Lai, Ming-Chi; Tsai, Wen-Hui; Tung, Li-Chen; Kuo, Mei-Chin; Lin, Shio-Jean

    2015-08-01

    This review article aims to introduce the screening and referral network of genetic evaluation for children with developmental delay in Taiwan. For these children, integrated systems provide services from the medical, educational, and social welfare sectors. All cities and counties in Taiwan have established a network for screening, detection, referral, evaluation, and intervention services. Increased awareness improves early detection and intervention. There remains a gap between supply and demand, especially with regard to financial resources and professional manpower. Genetic etiology has a major role in prenatal causes of developmental delay. A summary of reports on some related genetic disorders in the Taiwanese population is included in this review. Genetic diagnosis allows counseling with regard to recurrence risk and prevention. Networking with neonatal screening, laboratory diagnosis, genetic counseling, and orphan drugs logistics systems can provide effective treatment for patients. In Taiwan, several laboratories provide genetic tests for clinical diagnosis. Accessibility to advanced expensive tests such as gene chips or whole exome sequencing is limited because of funding problems; however, the service system in Taiwan can still operate in a relatively cost-effective manner. This experience in Taiwan may serve as a reference for other countries.

  20. Dynamic Simulations of Nonlinear Multi-Domain Systems Based on Genetic Programming and Bond Graphs

    Institute of Scientific and Technical Information of China (English)

    DI Wenhui; SUN Bo; XU Lixin

    2009-01-01

    A dynamic simulation method for non-linear systems based on genetic programming (GP) and bond graphs (BG) was developed to improve the design of nonlinear multi-domain energy conversion sys-tems. The genetic operators enable the embryo bond graph to evolve towards the target graph according to the fitness function. Better simulation requires analysis of the optimization of the eigenvalue and the filter circuit evolution. The open topological design and space search ability of this method not only gives a more optimized convergence for the operation, but also reduces the generation time for the new circuit graph for the design of nonlinear multi-domain systems.

  1. Development of a novel single step reverse genetics system for feline calicivirus.

    Science.gov (United States)

    Oka, Tomoichiro; Takagi, Hirotaka; Tohya, Yukinobu

    2014-10-01

    The reverse genetics system is a useful tool to generate infectious virus. Feline calicivirus (FCV), a member of the genus Vesivirus in the family Caliciviridae, has a positive sense, single-stranded RNA genome. Two reverse genetics systems have been established for FCV; however, these methods need multi-steps to produce progeny infectious virus. In this study, a novel plasmid-based single step reverse genetics system for FCV has been developed. The plasmid carries FCV F4 strain genomic sequence with an introduced silent mutation. In addition, at the 5'- and 3'-end, a human elongation factor-1α promoter and a cis-acting hepatitis delta virus ribozyme following poly-A, were added, respectively. When the plasmid was transfected into Crandell-Rees feline kidney cells, progeny FCV was generated. The reverse genetics system-derived FCV (rFCV) showed similar growth kinetics and antigenic characteristics and had identical genomic terminals to those of the original FCV F4 strain. The presence of the introduced silent mutation in the rFCV genomic cDNA supported that the progeny virus was originated from the plasmid. This novel FCV reverse genetics system is simple and can be used to evaluate the functions of the viral genome, proteins, and phenotypic characterization of FCV strains in the future. Copyright © 2014 Elsevier B.V. All rights reserved.

  2. Genetic defects in the oxidative phosphorylation (OXPHOS) system.

    NARCIS (Netherlands)

    Janssen, R.J.R.J.; Heuvel, L.P.W.J. van den; Smeitink, J.A.M.

    2004-01-01

    The oxidative phosphorylation (OXPHOS) system consists of five multiprotein complexes and two mobile electron carriers embedded in the lipid bilayer of the mitochondrial inner membrane. With the exception of complex II and the mobile carriers, the other parts of the OXPHOS system are under dual gene

  3. Genetic defects in the oxidative phosphorylation (OXPHOS) system.

    NARCIS (Netherlands)

    Janssen, R.J.R.J.; Heuvel, L.P.W.J. van den; Smeitink, J.A.M.

    2004-01-01

    The oxidative phosphorylation (OXPHOS) system consists of five multiprotein complexes and two mobile electron carriers embedded in the lipid bilayer of the mitochondrial inner membrane. With the exception of complex II and the mobile carriers, the other parts of the OXPHOS system are under dual

  4. Using Genetic Algorithm and MODFLOW to Characterize Aquifer System of Northwest Florida (Published Proceedings)

    Science.gov (United States)

    By integrating Genetic Algorithm and MODFLOW2005, an optimizing tool is developed to characterize the aquifer system of Region II, Northwest Florida. The history and the newest available observation data of the aquifer system is fitted automatically by using the numerical model c...

  5. Using Genetic Algorithm and MODFLOW to Characterize Aquifer System of Northwest Florida

    Science.gov (United States)

    By integrating Genetic Algorithm and MODFLOW2005, an optimizing tool is developed to characterize the aquifer system of Region II, Northwest Florida. The history and the newest available observation data of the aquifer system is fitted automatically by using the numerical model c...

  6. Optimisation of electrical system for offshore wind farms via genetic algorithm

    DEFF Research Database (Denmark)

    Chen, Zhe; Zhao, Menghua; Blaabjerg, Frede

    2009-01-01

    An optimisation platform based on genetic algorithm (GA) is presented, where the main components of a wind farm and key technical specifications are used as input parameters and the electrical system design of the wind farm is optimised in terms of both production cost and system reliability...

  7. Automatic Tuning of PID Controller for a 1-D Levitation System Using a Genetic Algorithm

    DEFF Research Database (Denmark)

    Yang, Zhenyu; Pedersen, Gerulf K.m.

    2006-01-01

    The automatic PID control design for a onedimensional magnetic levitation system is investigated. The PID controller is automatically tuned using the non-dominated sorting genetic algorithm (NSGA-II) based on a nonlinear system model. The developed controller is digitally implemented and tested...

  8. Contribution to Control of an Elastic Two-Mass System by Means of Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Zelmira Ferkova

    2007-01-01

    Full Text Available Oscillations of an elastic two-mass system with all known parameters may be suppressed by suitable feedback signal. An observer enables to estimate this feedback without measurement of load mechanism speed. This article contains application of genetic algorithms for identification of elastic system parameters and determination of corresponding observer feedback coefficients. Design correctness is verified by simulation.

  9. A versatile selection system for folding competent proteins using genetic complementation in a eukaryotic host

    DEFF Research Database (Denmark)

    Lyngsø, C.; Kjaerulff, S.; Muller, S.;

    2010-01-01

    in vivo selection system for folded proteins. It is based on genetic complementation of the Schizosaccharomyces pombe growth marker gene invertase fused C-terminally to a protein library. The fusion proteins are directed to the secretion system, utilizing the ability of the eukaryotic protein quality...

  10. Inducible and constitutive promoters for genetic systems in Sulfolobus acidocaldarius.

    Science.gov (United States)

    Berkner, Silvia; Wlodkowski, Alexander; Albers, Sonja-Verena; Lipps, Georg

    2010-05-01

    Central to genetic work in any organism are the availability of a range of inducible and constitutive promoters. In this work we studied several promoters for use in the hyperthermophilic archaeon Sulfolobus acidocaldarius. The promoters were tested with the aid of an E. coli-Sulfolobus shuttle vector in reporter gene experiments. As the most suitable inducible promoter a maltose inducible promoter was identified. It comprises 266 bp of the sequence upstream of the gene coding for the maltose/maltotriose binding protein (mbp, Saci_1165). Induction is feasible with either maltose or dextrin at concentrations of 0.2-0.4%. The highest increase in expression (up to 17-fold) was observed in late exponential and stationary phase around 30-50 h after addition of dextrin. Whereas in the presence of glucose and xylose higher basal activity and reduced inducibility with maltose is observed, sucrose can be used in the growth medium additionally without affecting the basal activity or the inducibility. The minimal promoter region necessary could be narrowed down to 169 bp of the upstream sequence. The ABCE1 protein from S. solfataricus was successfully expressed under control of the inducible promoter with the shuttle vector pC and purified from the S. acidocaldarius culture with a yield of about 1 mg L(-1) culture. In addition we also determined the promoter strength of several constitutive promoters.

  11. Vasculitis and infections : Contribution to the issue of autoimmunity reviews devoted to "autoimmunity and infection"

    NARCIS (Netherlands)

    Kallenberg, Cees G. M.; Tadema, Henko

    2008-01-01

    Infections are associated with secondary forms of vasculitis. However, there is increasing evidence that microbial agents play a role also in primary systemic vasculitides. For a long time it has been noted that Hepatitis B virus (HBV) is involved in polyarteritis nodosa (PAN) although the incidence

  12. 伪满洲国的“勤劳奉仕”%Diligence Devotion Movement in Manchukuo

    Institute of Scientific and Technical Information of China (English)

    马伟

    2012-01-01

    "满洲建设勤劳奉仕队"由日"满"共同推出,有青年队、女子队、学生队之分,是一项独立的移民侵略政策。从组织形式看,可分"长期勤劳奉仕队"和"短期勤劳奉仕队"。"长期勤劳奉仕队"包括"报国农场"、特设农场、米谷增产班等。此类人数较多,与一般农业移民无异。女子队属"长期勤劳奉仕队",但原则上是作为青年男子移民的配偶出现的。"短期勤劳奉仕队"时间较短,主要以学生为主,如医疗特技队、畜产指导队等。1942年后,"短期勤劳奉仕队"基本停止,伪满"勤劳奉公"运动则取而代之。"长期勤劳奉仕队"制度则坚定地向农业定居方向发展。%Labor Service Team for Manchukuo's Construction,established by Japan and Manchukuo,consisting of the youth team,women's team,students' team,was a separate immigration policy of aggression.From the organization form perspective,it was divided into "Long-term Labor Service Team" and "Short-term Labor Service Team".The former included "farm of serving the country",ad hoc farm,rice yield class,etc.the members were as mamy as the general agricultural immigrants,women's team belonged to "Long-term Labor Service Team",though women came as the spouses of the young men.The latter didn't last long and the members were mainly students,including Medical Stunt Team,Livestock Guidance Team,etc.After 1942,"Short-term Labor Service Team" was replaced by puppet "Diligence Devotion" Movement while "Long-term Labor Service Team" system firmly developed into the agricultural settlement.

  13. Genetic fuzzy system predicting contractile reactivity patterns of small arteries

    DEFF Research Database (Denmark)

    Tang, J; Sheykhzade, Majid; Clausen, B F;

    2014-01-01

    strategies. Results show that optimized fuzzy systems (OFSs) predict contractile reactivity of arteries accurately. In addition, OFSs identified significant differences that were undetectable using conventional analysis in the responses of arteries between groups. We concluded that OFSs may be used...

  14. Population Genetics and Genetic Variability ofBulinus globosus (Gastropoda: Planorbidae) From the Two Main River Systems in Zimbabwe

    DEFF Research Database (Denmark)

    Mukaratirwa, S.; Siegismund, Hans Redlef; Kristensen, Thomas K.;

    1996-01-01

    Bullnus globosus is the only known vector of Schistosoma haematoblum in Zimbabwe. The population genetic structure of this vector snail from the two main river drainage systems, represented by 27 localities, was determined from starch gel lsoenzyme electrophoretic data. Out of 11 enzyme systems s...... of ecological factors (drought/desiccation and floods), genetic drift, and seasonal gene flow as the main factors influencing the genetic structure of these populations.......Bullnus globosus is the only known vector of Schistosoma haematoblum in Zimbabwe. The population genetic structure of this vector snail from the two main river drainage systems, represented by 27 localities, was determined from starch gel lsoenzyme electrophoretic data. Out of 11 enzyme systems...

  15. Ultrasonic characterisation of B. femoris from Iberian pigs of different genetics and feeding systems.

    Science.gov (United States)

    Niñoles, L; Mulet, A; Ventanas, S; Benedito, J

    2011-10-01

    Ultrasonic velocity was used to characterise the differences in composition and texture of Biceps Femoris muscles from four batches of pigs of different genetics (Iberian and Iberian × Duroc) and feeding systems ("montanera" and concentrate). Significant differences (p<0.05) were found for the ultrasonic velocity in samples with different genetics and feeding systems. These differences were dependent on the temperature of the measurements and were related to the intramuscular fat content (IMF) of the samples and, therefore, to the meat quality. The ultrasonic velocities at 0 and 20 °C were related to the IMF (R=0.77 and 0.65, respectively). A discriminant analysis, including ultrasonic velocity at temperatures from 0 to 20 °C, allowed 87.0% of the samples to be correctly classified in the batches. Therefore, ultrasonics could be useful in the characterisation and differentiation of B. femoris muscles of Iberian pigs with different genetics and from different feeding systems.

  16. The Application Research about Modified Genetic Algorithm in the Flywheel Charging-Control System

    Directory of Open Access Journals (Sweden)

    Jiaqi Zhong

    2013-05-01

    Full Text Available In the flywheel charging-control system, there exists the flywheel motor’s nonlinearity, variable elements etc, which leads to the problem of parameter tuning of PID controller of its charging-control system’s revolving speed loop. In this study, I will introduce an optimizing way based on modified genetic algorithm for the flywheel charging-control system PID controller, which by means of simulation and performance index quantization to observe its optimizing performance and convergence characteristic, so that we can check the feasibility and effectiveness in the flywheel charging-control system. It turns out that tuning PID controller parameters based on modified genetic algorithm has a better rapidity and stability, which proves the feasibility of the modified genetic algorithm.

  17. A Candida albicans CRISPR system permits genetic engineering of essential genes and gene families.

    Science.gov (United States)

    Vyas, Valmik K; Barrasa, M Inmaculada; Fink, Gerald R

    Candida albicans is a pathogenic yeast that causes mucosal and systematic infections with high mortality. The absence of facile molecular genetics has been a major impediment to analysis of pathogenesis. The lack of meiosis coupled with the absence of plasmids makes genetic engineering cumbersome, especially for essential functions and gene families. We describe a C. albicans CRISPR system that overcomes many of the obstacles to genetic engineering in this organism. The high frequency with which CRISPR-induced mutations can be directed to target genes enables easy isolation of homozygous gene knockouts, even without selection. Moreover, the system permits the creation of strains with mutations in multiple genes, gene families, and genes that encode essential functions. This CRISPR system is also effective in a fresh clinical isolate of undetermined ploidy. Our method transforms the ability to manipulate the genome of Candida and provides a new window into the biology of this pathogen.

  18. Fault Diagnosis of Power System Based on Improved Genetic Optimized BP-NN

    Directory of Open Access Journals (Sweden)

    Yuan Pu

    2015-01-01

    Full Text Available BP neural network (Back-Propagation Neural Network, BP-NN is one of the most widely neural network models and is applied to fault diagnosis of power system currently. BP neural network has good self-learning and adaptive ability and generalization ability, but the operation process is easy to fall into local minima. Genetic algorithm has global optimization features, and crossover is the most important operation of the Genetic Algorithm. In this paper, we can modify the crossover of traditional Genetic Algorithm, using improved genetic algorithm optimized BP neural network training initial weights and thresholds, to avoid the problem of BP neural network fall into local minima. The results of analysis by an example, the method can efficiently diagnose network fault location, and improve fault-tolerance and grid fault diagnosis effect.

  19. Genetic mating systems and reproductive natural histories of fishes: lessons for ecology and evolution.

    Science.gov (United States)

    Avise, John C; Jones, Adam G; Walker, DeEtte; DeWoody, J Andrew

    2002-01-01

    Fish species have diverse breeding behaviors that make them valuable for testing theories on genetic mating systems and reproductive tactics. Here we review genetic appraisals of paternity and maternity in wild fish populations. Behavioral phenomena quantified by genetic markers in various species include patterns of multiple mating by both sexes; frequent cuckoldry by males and rare cuckoldry by females in nest-tending species; additional routes to surrogate parentage via nest piracy and egg-thievery; egg mimicry by nest-tending males; brood parasitism by helper males in cooperative breeders; clutch mixing in oral brooders; kinship in schooling fry of broadcast spawners; sperm storage by dams in female-pregnant species; and sex-role reversal, polyandry, and strong sexual selection on females in some male-pregnant species. Additional phenomena addressed by genetic parentage analyses in fishes include clustered mutations, filial cannibalism, and local population size. All results are discussed in the context of relevant behavioral and evolutionary theory.

  20. Management of genetic resources in the nursery system of wild cherry (Prunus avium L.

    Directory of Open Access Journals (Sweden)

    Proietti R

    2006-01-01

    Full Text Available Knowledge of genetic and adaptive traits of reproductive materials used in the nursery system of wild cherry, could be an useful instrument to improve ecological and economic sustainability of plantation ecosystems. This work reports results from a research which the objectives were: 1 to study the genetic variation of a Prunus avium L. Population, used for seed harvesting, through its multi-locus genotypes detected by starch gel electrophoresis; 2 to analyze the level of genetic variation within and among different steps in a commercial nursery system (basic population and sub-populations, seedlings aged S1T1 and S1T2, plantation. Results showed low genetic variation levels of the basic population, similar to a reference system of other 12 wild cherry Italian populations and to other French and Caucasian materials. The genetic distances among Monte Baldo and some closer Lombardy provenances (Area Garda, Bosco Fontana, Valtellina were smaller than the Venice Region populations (Monti Lessini and Asiago. Number of alleles and percentage of polymorphic loci within the complex of Monte Baldo provenance and multiplication materials were similar, whilst a variable value of Fis was noted. Indeed, along with the nursery system until the plantation, heterozygosis initially (S1T1 increased, then decreased proceeding to the plantation. This fluctuation of FIS values could be determined by seed lots characterized initially by higher levels of variation, due to self-incompatibility. In the following steps, a possible selection pressure can affect randomly the genotypic structure of wild cherry by increasing the homozygosity. There is not among population a well defined geographic characterization, as suggested by genetic distances, therefore homogeneous seed harvest could be established an area larger than geographic and administrative borders. On this way we could have reproductive material with a wide genetic base and environmental adaptability. To

  1. Developmental system at the crossroads of system theory, computer science, and genetic engineering

    CERN Document Server

    Węgrzyn, Stefan; Vidal, Pierre

    1990-01-01

    Many facts were at the origin of the present monograph. The ftrst is the beauty of maple leaves in Quebec forests in Fall. It raised the question: how does nature create and reproduce such beautiful patterns? The second was the reading of A. Lindenmayer's works on L systems. Finally came the discovery of "the secrets of DNA" together with many stimulating ex­ changes with biologists. Looking at such facts from the viewpoint of recursive numerical systems led to devise a simple model based on six elementary operations organized in a generating word, the analog of the program of a computer and of the genetic code of DNA in the cells of a living organism. It turned out that such a model, despite its simplicity, can account for a great number of properties of living organisms, e.g. their hierarchical structure, their ability to regenerate after a trauma, the possibility of cloning, their sensitivity to mutation, their growth, decay and reproduction. The model lends itself to analysis: the knowledge of the genera...

  2. System Response Analysis and Model Order Reduction, Using Conventional Method, Bond Graph Technique and Genetic Programming

    Directory of Open Access Journals (Sweden)

    Lubna Moin

    2009-04-01

    Full Text Available This research paper basically explores and compares the different modeling and analysis techniques and than it also explores the model order reduction approach and significance. The traditional modeling and simulation techniques for dynamic systems are generally adequate for single-domain systems only, but the Bond Graph technique provides new strategies for reliable solutions of multi-domain system. They are also used for analyzing linear and non linear dynamic production system, artificial intelligence, image processing, robotics and industrial automation. This paper describes a unique technique of generating the Genetic design from the tree structured transfer function obtained from Bond Graph. This research work combines bond graphs for model representation with Genetic programming for exploring different ideas on design space tree structured transfer function result from replacing typical bond graph element with their impedance equivalent specifying impedance lows for Bond Graph multiport. This tree structured form thus obtained from Bond Graph is applied for generating the Genetic Tree. Application studies will identify key issues and importance for advancing this approach towards becoming on effective and efficient design tool for synthesizing design for Electrical system. In the first phase, the system is modeled using Bond Graph technique. Its system response and transfer function with conventional and Bond Graph method is analyzed and then a approach towards model order reduction is observed. The suggested algorithm and other known modern model order reduction techniques are applied to a 11th order high pass filter [1], with different approach. The model order reduction technique developed in this paper has least reduction errors and secondly the final model retains structural information. The system response and the stability analysis of the system transfer function taken by conventional and by Bond Graph method is compared and

  3. System Response Analysis and Model Order Reduction, Using Conventional Method, Bond Graph Technique and Genetic Programming

    Directory of Open Access Journals (Sweden)

    Shahid Ali

    2009-04-01

    Full Text Available This research paper basically explores and compares the different modeling and analysis techniques and than it also explores the model order reduction approach and significance. The traditional modeling and simulation techniques for dynamic systems are generally adequate for single-domain systems only, but the Bond Graph technique provides new strategies for reliable solutions of multi-domain system. They are also used for analyzing linear and non linear dynamic production system, artificial intelligence, image processing, robotics and industrial automation. This paper describes a unique technique of generating the Genetic design from the tree structured transfer function obtained from Bond Graph. This research work combines bond graphs for model representation with Genetic programming for exploring different ideas on design space tree structured transfer function result from replacing typical bond graph element with their impedance equivalent specifying impedance lows for Bond Graph multiport. This tree structured form thus obtained from Bond Graph is applied for generating the Genetic Tree. Application studies will identify key issues and importance for advancing this approach towards becoming on effective and efficient design tool for synthesizing design for Electrical system. In the first phase, the system is modeled using Bond Graph technique. Its system response and transfer function with conventional and Bond Graph method is analyzed and then a approach towards model order reduction is observed. The suggested algorithm and other known modern model order reduction techniques are applied to a 11th order high pass filter [1], with different approach. The model order reduction technique developed in this paper has least reduction errors and secondly the final model retains structural information. The system response and the stability analysis of the system transfer function taken by conventional and by Bond Graph method is compared and

  4. Tensorial analysis of a Fourier-transform profilometric setup devoted to the evaluation of muscular contractions

    Science.gov (United States)

    Hanafi, Abdelmalek; Gharbi, Tijani; Cornu, Jean-Yves

    2005-07-01

    We explore the potential use of the Fourier-transform profilometry technique in in vivo studies of muscular contractions through the variation of muscle-group cross sections. Thanks to a tensorial analysis of the technique, a general expression of its sensitivity vector is established. It allows derivation of the expression of the resolution and the limit condition imposed by the spatial sampling of the fringe pattern. Key parameters that maximize the sensitivity are then simulated. A measurement system is accordingly built up and characterized. It is then successfully applied to the evaluation of the deformation of the forearm muscles during grasping exertions.

  5. [Progress in establishment and application of feline calicivirus reverse genetics operating system].

    Science.gov (United States)

    Zhao, Yanli; Dong, Hongwei; Chen, Xiaoqing; Gao, Chao; Liu, Qiuyan; Yang, Songtao; Hu, Guixue

    2015-01-01

    Feline calicivirus (FCV) is an important and highly prevalent pathogen of cats that causes feline respiratory disease. The reverse genetic systems for FCV have been established in national and international laboratories since 1995. This technique has been used widely in FCV basic research and good progress has consequently been made to determine the relationship between viral genome structures and the function of their proteins, the expression of foreign proteins, virus-host interactions, and viral pathogenic mechanisms. In this article,we review the state of progress with regards to the establishment and application of the FCV reverse genetic operating system,which will provide a useful reference tool for future related research.

  6. Genetics of the proteolytic system of lactic acid bacteria

    NARCIS (Netherlands)

    Kok, Jan

    1990-01-01

    The proteolytic system of lactic acid bacteria is of eminent importance for the rapid growth of these organisms in protein-rich media. The combined action of proteinases and peptidases provides the cell with small peptides and essential amino acids. The amino acids and peptides thus liberated have t

  7. Genetic improvement of livestock for organic farming systems

    NARCIS (Netherlands)

    Boelling, D.; Groen, A.F.; Soerensen, P.; Madsen, P.; Jensen, J.

    2003-01-01

    Organic farming which experienced a constant rise over the last two decades is a system based on sustainability and on a concept tending towards functional integrity. Legislation as well as the wish to produce separately from conventional farming raise the question whether organic farming should be

  8. Prediction of the Stochastic System Properties Using Genetic Identification

    OpenAIRE

    2003-01-01

    The article deals with the equation solutions for conditional probabilities determination. The number of variables in equation for correlation estimation could be reduced under the specific conditions. Stochastic system could be approximated by the mean values of the conditional probabilities as it declared by presented example.

  9. Prediction of the Stochastic System Properties Using Genetic Identification

    Directory of Open Access Journals (Sweden)

    Juraj Spalek

    2003-01-01

    Full Text Available The article deals with the equation solutions for conditional probabilities determination. The number of variables in equation for correlation estimation could be reduced under the specific conditions. Stochastic system could be approximated by the mean values of the conditional probabilities as it declared by presented example.

  10. Genetic improvement of livestock for organic farming systems

    NARCIS (Netherlands)

    Boelling, D.; Groen, A.F.; Soerensen, P.; Madsen, P.; Jensen, J.

    2003-01-01

    Organic farming which experienced a constant rise over the last two decades is a system based on sustainability and on a concept tending towards functional integrity. Legislation as well as the wish to produce separately from conventional farming raise the question whether organic farming should be

  11. Genetics of the proteolytic system of lactic acid bacteria

    NARCIS (Netherlands)

    Kok, Jan

    1990-01-01

    The proteolytic system of lactic acid bacteria is of eminent importance for the rapid growth of these organisms in protein-rich media. The combined action of proteinases and peptidases provides the cell with small peptides and essential amino acids. The amino acids and peptides thus liberated have

  12. Transancestral mapping and genetic load in systemic lupus erythematosus

    DEFF Research Database (Denmark)

    Langefeld, Carl D; Ainsworth, Hannah C; Graham, Deborah S Cunninghame

    2017-01-01

    Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify...

  13. Transancestral mapping and genetic load in systemic lupus erythematosus

    NARCIS (Netherlands)

    Langefeld, Carl D.; Ainsworth, Hannah C.; Graham, Deborah S. Cunninghame; Kelly, Jennifer A.; Comeau, Mary E.; Marion, Miranda C.; Howard, Timothy D.; Ramos, Paula S.; Croker, Jennifer A.; Morris, David L.; Sandling, Johanna K.; Almlof, Jonas Carlsson; Acevedo-Vasquez, Eduardo M.; Alarcon, Graciela S.; Babini, Alejandra M.; Baca, Vicente; Bengtsson, Anders A.; Berbotto, Guillermo A.; Bijl, Marc; Brown, Elizabeth E.; Brunner, Hermine I.; Cardiel, Mario H.; Catoggio, Luis; Cervera, Ricard; Cucho-Venegas, Jorge M.; Dahlqvist, Solbritt Rantapaa; D'Alfonso, Sandra; Da Silva, Berta Martins; de la Rua Figueroa, Inigo; Doria, Andrea; Edberg, Jeffrey C.; Endreffy, Emoke; Esquivel-Valerio, Jorge A.; Fortin, Paul R.; Freedman, Barry I.; Frostegard, Johan; Garcia, Mercedes A.; Garcia de la Torre, Ignacio; Gilkeson, Gary S.; Gladman, Dafna D.; Gunnarsson, Iva; Guthridge, Joel M.; Huggins, Jennifer L.; James, Judith A.; Kallenberg, Cees G. M.; Kamen, Diane L.; Karp, David R.; Kaufman, Kenneth M.; Kottyan, Leah C.; Kovacs, Laszlo; Laustrup, Helle; Lauwerys, Bernard R.; Li, Quan-Zhen; Maradiaga-Cecena, Marco A.; Martin, Javier; McCune, Joseph M.; McWilliams, David R.; Merrill, Joan T.; Miranda, Pedro; Moctezuma, Jose F.; Nath, Swapan K.; Niewold, Timothy B.; Orozco, Lorena; Ortego-Centeno, Norberto; Petri, Michelle; Pineau, Christian A.; Pons-Estel, Bernardo A.; Pope, Janet; Raj, Prithvi; Ramsey-Goldman, Rosalind; Reveille, John D.; Russell, Laurie P.; Sabio, Jose M.; Aguilar-Salinas, Carlos A.; Scherbarth, Hugo R.; Scorza, Raffaella; Seldin, Michael F.; Sjowall, Christopher; Svenungsson, Elisabet; Thompson, Susan D.; Toloza, Sergio M. A.; Truedsson, Lennart; Tusie-Luna, Teresa; Vasconcelos, Carlos; Vila, Luis M.; Wallace, Daniel J.; Weisman, Michael H.; Wither, Joan E.; Bhangale, Tushar; Oksenberg, Jorge R.; Rioux, John D.; Gregersen, Peter K.; Syvanen, Ann-Christine; Ronnblom, Lars; Criswell, Lindsey A.; Jacob, Chaim O.; Sivils, Kathy L.; Tsao, Betty P.; Schanberg, Laura E.; Behrens, Timothy W.; Silverman, Earl D.; Alarcon-Riquelme, Marta E.; Kimberly, Robert P.; Harley, John B.; Wakeland, Edward K.; Graham, Robert R.; Gaffney, Patrick M.; Vyse, Timothy J.

    2017-01-01

    Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58

  14. Spent fuel acceptance scenarios devoted to shutdown reactors: A preliminary analysis

    Energy Technology Data Exchange (ETDEWEB)

    Wood, T.W.; Plummer, A.M.; Dippold, D.G.; Short, S.M. (Pacific Northwest Lab., Richland, WA (USA); Battelle Memorial Inst., Columbus, OH (USA). Office of Transportation Systems and Planning; Pacific Northwest Lab., Richland, WA (USA))

    1989-10-01

    Spent fuel acceptance schedules and the allocation of federal acceptance capacity among commercial nuclear power reactors have important operational and cost consequences for reactor operators. Alternative allocation schemes were investigated to some extent in DOE's MRS Systems Study. The current study supplements these analyses for a class of acceptance schemes in which the acceptance capacity of the federal radioactive waste management system is allocated principally to shutdown commercial power reactors, and extends the scope of analysis to include considerations of at-reactor cask loading rates. The operational consequences of these schemes for power reactors, as measured in terms of quantity of spent fuel storage requirement above storage pool capacities and number of years of pool operations after last discharge, are estimated, as are the associated utility costs. This study does not attempt to examine the inter-utility equity considerations involved in departures from the current oldest-fuel-first (OFF) allocation rule as specified in the Standard Contract for Disposal of Spent Nuclear Fuel and/or High-Level Radioactive Waste.'' In the sense that the alternative allocations are more economically efficient than OFF, however, they approximate the allocations that could result from free exchange of acceptance rights among utilities. Such a process would result in the preservation of inter-utility equity. 13 refs., 9 figs., 9 tabs.

  15. Systems Genetics and Transcriptomics of Feed Efficiency in Dairy Cattle

    DEFF Research Database (Denmark)

    Salleh, Suraya Binti Mohamad; Hoglund, J.; Løvendahl, P.

    approaches to identify a list of differentially expressed genes, co-expressed genes, differentially wired networks, co-expression, transcriptional regulatory networks and hub genes/biomarkers for feed efficiency. This study will provide molecular mechanisms of metabolic processes, energy balance, nutrient......-hydroxybutyrates, Triacylglyceride and urea. Feed efficiency, namely Residual Feed Intake and Kleiber Ratio based on daily feed or dry matter intake, body weight and milk production records also will be calculated. The bovine RNAseq gene expression data will be analyzed using statistical-bioinformatics and systems biology...... partitioning and deliver predictive biomarkers for feed efficiency in cattle. This study will also contribute to systems genomic prediction or selection models including the information on potential causal genes / SNPs or their functional modules....

  16. Various carrier system(s)- mediated genetic vaccination strategies against malaria.

    Science.gov (United States)

    Tyagi, Rajeev K; Sharma, Pradeep Kumar; Vyas, Suresh P; Mehta, Abhinav

    2008-05-01

    The introduction of vaccine technology has facilitated an unprecedented multiantigen approach to develop an effective vaccine against complex pathogens, such as Plasmodium spp., that cause severe malaria. The capacity of multisubunit DNA vaccines encoding different stage Plasmodium antigens to induce CD8(+) cytotoxic T lymphocytes and IFN-gamma responses in mice, monkeys and humans has been observed. Moreover, genetic vaccination may be multi-immune (i.e., capable of eliciting more than one type of immune response, including cell-mediated and humoral). In the case of malaria parasites, a cytotoxic T-lymphocyte response is categorically needed against the intracellular hepatocyte stage while a humoral response, with antibodies targeted against antigens from all stages of the life cycle, is also needed. Therefore, the key to success for any DNA-based therapy is to design a vector able to serve as a safe and efficient delivery system. This has encouraged the development of nonviral DNA-mediated gene-transfer techniques, such as liposomes, virosomes, microspheres and nanoparticles. Efficient and relatively safe DNA transfection using lipoplexes makes them an appealing alternative to be explored for gene delivery. In addition, liposome-entrapped DNA has been shown to enhance the potency of DNA vaccines, possibly by facilitating uptake of the plasmid by antigen-presenting cells. Another recent technology using cationic lipids has been deployed and has generated substantial interest in this approach to gene transfer. This review comprises various aspects that could be decisive in the formulation of efficient and stable carrier system(s) for the development of malaria vaccines.

  17. Recent advances in systemic lupus erythematosus genetics in an Asian population.

    Science.gov (United States)

    Lee, Hye-Soon; Bae, Sang Cheol

    2015-02-01

    Recent advances in systemic lupus erythematosus (SLE) genetics in Asian populations have been achieved by genome-wide association studies (GWASs) and following replication studies, which expanded the genetic information about shared or population-specific risk genes between ethnic groups. Meta-analyses and multi-ethnic replication studies may be possible approaches that could demonstrate stronger or more suggestive evidence for multiple variants for SLE. In addition to the susceptibility of SLE itself, several genotype-phenotype analyses have shown that the specific phenotypes of SLE can also be influenced by genetic factors. Almost all SLE genetic loci are involved in the potential pathways of SLE pathogenesis, such as Toll-like receptor/type I interferon signaling, nuclear factor κB signaling, immune complex clearing mechanism, immune cell (B, T cell, neutrophil and monocyte) function and signaling, cell-cycle regulation, DNA methylation and autophagy. Further studies, including the next generation sequencing technology and the systematic strategy using bioinformatics, in addition to international collaboration among SLE genetic researchers, will give us better understanding of the genetic basis of SLE. © 2014 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.

  18. Optimal operation of water supply systems with tanks based on genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    YU Ting-chao; ZHANG Tu-qiao; LI Xun

    2005-01-01

    In view of the poor water supply system's network properties, the system's complicated network hydraulic equations were replaced by macroscopic nodal pressure model and the model of relationship between supply flow and water source head. By using pump-station pressure head and initial tank water levels as decision variables, the model of optimal allocation of water supply between pump-sources was developed. Genetic algorithm was introduced to deal with the model of optimal allocation of water supply. Methods for handling each constraint condition were put forward, and overcome the shortcoming such as premature convergence of genetic algorithm;a solving method was brought forward in which genetic algorithm was combined with simulated annealing technology and self-adaptive crossover and mutation probabilities were adopted. An application example showed the feasibility of this algorithm.

  19. Systems Genetics and Transcriptomics of Feed Efficiency in Dairy Cattle

    DEFF Research Database (Denmark)

    Salleh, Suraya Binti Mohamad; Hoglund, J.; Løvendahl, P.;

    Feed is the largest variable cost in milk production industries, thus improving feed efficiency will give better use of resources. This project works closely on definitions of feed efficiency in dairy cattle and uses advanced integrated genomics, bioinformatics and systems biology methods linking...... are of high or low efficiency. mRNA will be extracted from liver biopsies samples for RNA-sequencing which will be performed on the Illumina HiSeq2500. Blood samples will be collected for genotyping and plasma. Plasma will be extracted from the blood for analysis of glucose, NEFA, β...

  20. The mini climatic city a dedicated space for technological innovations devoted to Sustainable City

    Science.gov (United States)

    Derkx, François; Lebental, Bérengère; Merliot, Erick; Dumoulin, Jean; Bourquin, Frédéric

    2015-04-01

    Our cities, from megalopolis to rural commune, are systems of an extraordinary technological and human complexity. Their balance is threatened by the growing population and rarefaction of resources. Massive urbanization endanges the environment, while global climate change, through natural hazards generated (climatic, hydrological and geological), threats people and goods. Connect the city, that is to say, design and spread systems able to route, between multiple actors, a very large amount of heterogeneous information natures and analyzed for various purposes, is at the heart of the hopes to make our cities more sustainable: climate-resilient, energy efficient and actresses of the energy transition, attractive to individuals and companies, health and environment friendly. If multiple players are already aware of this need, progress is slow because, beyond the only connectivity, it is the urban intelligence that will create the sustainable city, through coordinated capabilities of Perception, Decision and Action: to measure phenomena; to analyze their impact on urban sustainability in order to define strategies for improvement; to effectively act on the cause of the phenomenon. In this very active context with a strong societal impact, the Sense-City project aims to accelerate research and innovation in the field of sustainable city, particularly in the field of micro and nanosensors. The project is centered around a "mini climatic City", a unique mobile environmental chamber in Europe of 400m² that can accommodate realistic models of city main components, namely buildings, infrastructures, distribution networks or basements. This R&D test place, available in draft form from January 2015 and in finalized version in 2016, will allow to validate, in realistic conditions, innovative technologies performances for the sustainable city, especially micro- and nano-sensors, at the end of their development laboratory and upstream of industrialization. R & D platform

  1. Insights into the genetic basis of systemic sclerosis: immunity in human disease and in mouse models

    Directory of Open Access Journals (Sweden)

    Wu M

    2014-09-01

    Full Text Available Minghua Wu, Maureen D Mayes Division of Rheumatology and Clinical Immunogenetics, Department of Internal Medicine, University of Texas Medical School at Houston, Houston, TX, USA Abstract: Systemic sclerosis (SSc; scleroderma is a chronic, multisystem autoimmune disease characterized by vasculopathy, fibrosis, and autoantibodies. In the past decade, great efforts have been made to investigate genetic susceptibility for SSc. To date, over 20 gene loci have been identified as risk factors for SSc in large genome-wide association studies and confirmed by independent replication studies. However, the biological relevance of these genetic associations is still largely unknown. Exploring the mechanism behind these risk loci is essential to better understand disease pathogenesis and to identify novel therapeutic targets. Mouse model studies including knockout, knockin and knockdown of these genes can advance our understanding of pathogenic cellular and molecular mechanisms in human disease. Although such mouse model systems do not exactly correspond to human disease, they can provide insight into pathological mechanisms that influence disease pathways. In this review, we discuss recent findings regarding the genetic basis of SSc in the setting of genetic manipulation of these pathways in murine models. Keywords: GWAS, Immunochip study, type I interferon pathway, genetic mutation animal models

  2. Periodic Pattern of Genetic and Fitness Diversity during Evolution of an Artificial Cell-Like System.

    Science.gov (United States)

    Ichihashi, Norikazu; Aita, Takuyo; Motooka, Daisuke; Nakamura, Shota; Yomo, Tetsuya

    2015-12-01

    Genetic and phenotypic diversity are the basis of evolution. Despite their importance, however, little is known about how they change over the course of evolution. In this study, we analyzed the dynamics of the adaptive evolution of a simple evolvable artificial cell-like system using single-molecule real-time sequencing technology that reads an entire single artificial genome. We found that the genomic RNA population increases in fitness intermittently, correlating with a periodic pattern of genetic and fitness diversity produced by repeated diversification and domination. In the diversification phase, a genomic RNA population spreads within a genetic space by accumulating mutations until mutants with higher fitness are generated, resulting in an increase in fitness diversity. In the domination phase, the mutants with higher fitness dominate, decreasing both the fitness and genetic diversity. This study reveals the dynamic nature of genetic and fitness diversity during adaptive evolution and demonstrates the utility of a simplified artificial cell-like system to study evolution at an unprecedented resolution.

  3. Seed systems for African food security: linking molecular genetic analysis and cultivator knowledge in West Africa

    NARCIS (Netherlands)

    Richards, P.; Bruin-Hoekzema, de M.; Hughes, S.G.; Kudadjie, C.Y.; Offei, S.K.; Struik, P.C.

    2009-01-01

    A challenge for African countries is how to integrate new sources of knowledge on plant genetics with knowledge from farmer practice to help improve food security. This paper considers the knowledge content of farmer seed systems in the light of a distinction drawn in artificial intelligence researc

  4. Genetic variations in the serotoninergic system contribute to body-mass index in Chinese adolescents.

    Directory of Open Access Journals (Sweden)

    Chunhui Chen

    Full Text Available OBJECTIVE: Obesity has become a worldwide health problem in the past decades. Human and animal studies have implicated serotonin in appetite regulation, and behavior genetic studies have shown that body mass index (BMI has a strong genetic component. However, the roles of genes related to the serotoninergic (5-hydroxytryptamine,5-HT system in obesity/BMI are not well understood, especially in Chinese subjects. SUBJECTS AND DESIGN: With a sample of 478 healthy Chinese volunteers, this study investigated the relation between BMI and genetic variations of the serotoninergic system as characterized by 136 representative polymorphisms. We used a system-level approach to identify SNPs associated with BMI, then estimated their overall contribution to BMI by multiple regression and verified it by permutation. RESULTS: We identified 12 SNPs that made statistically significant contributions to BMI. After controlling for gender and age, four of these SNPs accounted for 7.7% additional variance of BMI. Permutation analysis showed that the probability of obtaining these findings by chance was low (p = 0.015, permuted for 1000 times. CONCLUSION: These results showed that genetic variations in the serotoninergic system made a moderate contribution to individual differences in BMI among a healthy Chinese sample, suggesting that a similar approach can be used to study obesity.

  5. A CRISPR-Cas9 System for Genetic Engineering of Filamentous Fungi.

    Science.gov (United States)

    Nødvig, Christina S; Nielsen, Jakob B; Kogle, Martin E; Mortensen, Uffe H

    2015-01-01

    The number of fully sequenced fungal genomes is rapidly increasing. Since genetic tools are poorly developed for most filamentous fungi, it is currently difficult to employ genetic engineering for understanding the biology of these fungi and to fully exploit them industrially. For that reason there is a demand for developing versatile methods that can be used to genetically manipulate non-model filamentous fungi. To facilitate this, we have developed a CRISPR-Cas9 based system adapted for use in filamentous fungi. The system is simple and versatile, as RNA guided mutagenesis can be achieved by transforming a target fungus with a single plasmid. The system currently contains four CRISPR-Cas9 vectors, which are equipped with commonly used fungal markers allowing for selection in a broad range of fungi. Moreover, we have developed a script that allows identification of protospacers that target gene homologs in multiple species to facilitate introduction of common mutations in different filamentous fungi. With these tools we have performed RNA-guided mutagenesis in six species of which one has not previously been genetically engineered. Moreover, for a wild-type Aspergillus aculeatus strain, we have used our CRISPR Cas9 system to generate a strain that contains an AACU_pyrG marker and demonstrated that the resulting strain can be used for iterative gene targeting.

  6. Application of genetic algorithm in electrical system optimization for offshore wind farms

    DEFF Research Database (Denmark)

    Chen, Zhe; Zhao, M.; Blaabjerg, Frede

    2008-01-01

    Genetic Algorithm (GA) has been widely used in solving optimization problem in different areas. This paper illustrates the application of GA in the electrical system design for offshore wind farms, where the main components of a wind farm and key technical specifications are used as input...

  7. The STAT4 gene influences the genetic predisposition to systemic sclerosis phenotype.

    NARCIS (Netherlands)

    Rueda, B.; Broen, J.; Simeon, C.; Hesselstrand, R.; Diaz, B.; Suarez, H.; Ortego-Centeno, N.; Riemekasten, G.; Fonollosa, V.; Vonk, M.C.; Hoogen, F.H.J. van den; Sanchez-Roman, J.; Aguirre-Zamorano, M.A.; Garcia-Portales, R.; Pros, A.; Camps, M.T.; Gonzalez-Gay, M.A.; Coenen, M.J.H.; Airo, P.; Beretta, L.; Scorza, R.; Laar, J. van; Gonzalez-Escribano, M.F.; Nelson, J.L.; Radstake, T.R.D.J.; Martin, J.

    2009-01-01

    The aim of this study was to investigate the possible role of STAT4 gene in the genetic predisposition to systemic sclerosis (SSc) susceptibility or clinical phenotype. A total of 1317 SSc patients [896 with limited cutaneous SSc (lcSSc) and 421 with diffuse cutaneous SSc (dcSSc)] and 3113 healthy c

  8. Genomic conflict in scale insects : The causes and consequences of bizarre genetic systems

    NARCIS (Netherlands)

    Ross, Laura; Pen, Ido; Shuker, David M.

    2010-01-01

    It is now clear that mechanisms of sex determination are extraordinarily labile, with considerable variation across all taxonomic levels. This variation is often expressed through differences in the genetic system (XX-XY, XX-XO, haplodiploidy, and so on). Why there is so much variation in such a see

  9. Development of enzymes and enzyme systems by genetic engineering to convert biomass to sugars

    Science.gov (United States)

    TITLE Development of Enzymes and Enzyme Systems by Genetic Engineering to Convert Biomass to Sugars ABSTRACT Plant cellulosic material is one of the most viable renewable resources for the world’s fuel and chemical feedstock needs. Currently ethanol derived from corn starch is the most common li...

  10. Stress, Neural Systems, and Genetic Code: An Interview with Neuroscientist Judy Cameron. Perspectives

    Science.gov (United States)

    National Scientific Council on the Developing Child, 2006

    2006-01-01

    Research indicates some early life stresses can have a profound impact, resulting in changes in brain function and behavior, and even differences in the ways some genes express their particular genetic code signature. At various times during early development, different neural systems appear to have an increased sensitivity to stress and can…

  11. Application of genetic algorithm in electrical system optimization for offshore wind farms

    DEFF Research Database (Denmark)

    Chen, Zhe; Zhao, M.; Blaabjerg, Frede

    2008-01-01

    Genetic Algorithm (GA) has been widely used in solving optimization problem in different areas. This paper illustrates the application of GA in the electrical system design for offshore wind farms, where the main components of a wind farm and key technical specifications are used as input...

  12. Semiconservative replication, genetic repair, and many-gened genomes: Extending the quasispecies paradigm to living systems

    Science.gov (United States)

    Tannenbaum, Emmanuel; Shakhnovich, Eugene I.

    2005-12-01

    Quasispecies theory has emerged as an important tool for modeling the evolutionary dynamics of biological systems. We review recent advances in the field, with an emphasis on the quasispecies dynamics of semiconservatively replicating genomes. Applications to cancer and adult stem cell growth are discussed. Additional topics, such as genetic repair and many-gene genomes, are covered as well.

  13. The STAT4 gene influences the genetic predisposition to systemic sclerosis phenotype.

    NARCIS (Netherlands)

    Rueda, B.; Broen, J.; Simeon, C.; Hesselstrand, R.; Diaz, B.; Suarez, H.; Ortego-Centeno, N.; Riemekasten, G.; Fonollosa, V.; Vonk, M.C.; Hoogen, F.H.J. van den; Sanchez-Roman, J.; Aguirre-Zamorano, M.A.; Garcia-Portales, R.; Pros, A.; Camps, M.T.; Gonzalez-Gay, M.A.; Coenen, M.J.H.; Airo, P.; Beretta, L.; Scorza, R.; Laar, J. van; Gonzalez-Escribano, M.F.; Nelson, J.L.; Radstake, T.R.D.J.; Martin, J.

    2009-01-01

    The aim of this study was to investigate the possible role of STAT4 gene in the genetic predisposition to systemic sclerosis (SSc) susceptibility or clinical phenotype. A total of 1317 SSc patients [896 with limited cutaneous SSc (lcSSc) and 421 with diffuse cutaneous SSc (dcSSc)] and 3113 healthy

  14. Stress, Neural Systems, and Genetic Code: An Interview with Neuroscientist Judy Cameron. Perspectives

    Science.gov (United States)

    National Scientific Council on the Developing Child, 2006

    2006-01-01

    Research indicates some early life stresses can have a profound impact, resulting in changes in brain function and behavior, and even differences in the ways some genes express their particular genetic code signature. At various times during early development, different neural systems appear to have an increased sensitivity to stress and can…

  15. Genetic Algorithms, Neural Networks, and Time Effectiveness Algorithm Based Air Combat Intelligence Simulation System

    Institute of Scientific and Technical Information of China (English)

    曾宪钊; 成冀; 安欣; 方礼明

    2002-01-01

    This paper introduces a new Air Combat Intelligence Simulation System (ACISS) in a 32 versus 32 air combat, describes three methods: Genetic Algorithms (GA) in the multi-targeting decision and Evading Missile Rule Base learning, Neural Networks (NN) in the maneuvering decision, and Time Effectiveness Algorithm (TEA) in the adjudicating an air combat and the evaluating evading missile effectiveness.

  16. Founder effects and genetic population structure of brown trout (Salmo trutta) in a Danish river system

    DEFF Research Database (Denmark)

    Hansen, Michael Møller; Mensberg, Karen-Lise Dons

    1996-01-01

    The influence of founder effects on the genetic population structure of brown trout (Salmo trutta) was studied in a small Danish river system. Samples of trout from seven locations were analysed by allozyme electrophoresis and mitochondrial DNA restriction fragment length polymorphism analysis...

  17. Thermal Parameter Extraction of a Multilayered System by a Genetic Algorithm

    Science.gov (United States)

    Kuriakose, M.; Depriester, M.; Mascot, M.; Longuemart, S.; Fasquelle, D.; Carru, J. C.; Sahraoui, A. Hadj

    2013-09-01

    Submicron multilayer systems are nowadays used in many common applications such as electronic systems, fuel cells, etc. A knowledge of the layer’s thermal properties are of main interest for thermal management in such systems. Thus, the aim of this study is to investigate thermal parameters of a commercially available multilayered system (Pt-Ti-SiO-Si) using the photothermal radiometry technique. Here, a genetic algorithm is used for extracting thermal parameters of this typical four-layer wafer system. The obtained results can be used as a reference for thermal studies of thin layers coated on the top of such wafers, where they act as a deposition substrate.

  18. Climbing the Ladder: Experience with Developing a Large Group Genetic Counselor Career Ladder at Children's National Health System.

    Science.gov (United States)

    Kofman, Laura; Seprish, Mary Beth; Summar, Marshall

    2016-08-01

    Children's National Health System (CNHS) is a not-for-profit pediatric hospital that employs around twenty genetic counselors in a range of specialties, including clinical pediatric, neurology, fetal medicine, research, and laboratory. CNHS lacked a structured system of advancement for their genetic counselors; therefore, a formal career ladder was proposed by the genetic counselors based on years of experience, responsibility, and job performance. This career ladder utilized monetary, academic, and seniority incentives to encourage advancement and continue employment at CNHS. The creation and ultimate approval of the career ladder required direct input from genetic counselors, Department Chairs, and Human Resource personnel. The establishment of a genetic counselor career ladder at CNHS will hopefully benefit the profession of genetic counselors as a whole and allow other facilities to create and maintain their own career ladder to meet the needs of the growing, competitive, field of genetic counseling.

  19. A Semantic Web-based System for Mining Genetic Mutations in Cancer Clinical Trials.

    Science.gov (United States)

    Priya, Sambhawa; Jiang, Guoqian; Dasari, Surendra; Zimmermann, Michael T; Wang, Chen; Heflin, Jeff; Chute, Christopher G

    2015-01-01

    Textual eligibility criteria in clinical trial protocols contain important information about potential clinically relevant pharmacogenomic events. Manual curation for harvesting this evidence is intractable as it is error prone and time consuming. In this paper, we develop and evaluate a Semantic Web-based system that captures and manages mutation evidences and related contextual information from cancer clinical trials. The system has 2 main components: an NLP-based annotator and a Semantic Web ontology-based annotation manager. We evaluated the performance of the annotator in terms of precision and recall. We demonstrated the usefulness of the system by conducting case studies in retrieving relevant clinical trials using a collection of mutations identified from TCGA Leukemia patients and Atlas of Genetics and Cytogenetics in Oncology and Haematology. In conclusion, our system using Semantic Web technologies provides an effective framework for extraction, annotation, standardization and management of genetic mutations in cancer clinical trials.

  20. CONGESTION MANAGEMENT IN DEREGULATED POWER SYSTEMS USING REAL CODED GENETIC ALGORITHM

    Directory of Open Access Journals (Sweden)

    Sujatha Balaraman

    2010-11-01

    Full Text Available In this paper, an efficient method has been proposed for transmission line over load alleviation in deregulated power system using real coded genetic algorithm (RCGA. For secure operation of power system, the network loading has to be maintained within specified limits. Transmission line congestion initiates the cascading outages which forces the system to collapse. Accurate prediction and alleviation of line overloads is the suitable corrective action to avoid network collapse. In this paper an attempt is made to explore the use of real coded genetic algorithm to find the optimal generation rescheduling for relieving congestion. The effectiveness of the proposed algorithm has been analyzed on IEEE 30 bus test system. The results obtained by the proposed method are found to be quite encouraging when compared with Simulated Annealing (SA and hence it will be useful in electrical restructuring.

  1. Current situation and perspective of the multi-use of Arachis pintoi in agro-ecosystems devoted to animal production

    Directory of Open Access Journals (Sweden)

    Verónica Andrade Yucailla

    2016-07-01

    Full Text Available This paper realized an analysis of the scientific literature in which 75 articles were reviewed from indexed Journals in specialized databases and of international recognition about the main aspects reviewed such as the origin, adaptation conditions in areas of the humid tropic, genetic aspects related to the chromosomal markers; demonstrating a big morphologic variability in the germplasms. Inside of the potential uses of major relevancy there was stand out the use as soil coverage and as soil improver, as well as weeds controller, presenting a positive effect in the content of organic matter and nitrogen of soil. The use of Arachis pintoi Frapovickas y Gregory in the animal feeding systems is a resource of high quality; it can be a viable alternative for the animal production systems in the tropic. The impact of some agroecological practices on the agroproductive parameters with the use of A. pintoi is of the important relevancy. It was concludes that A. pintoi presents a potential of multiple use in integrated systems of crops - trees – livestock, constituting an alternative of sustainable management of the tropical animal production.

  2. Identification Simulation for Dynamical System Based on Genetic Algorithm and Recurrent Multilayer Neural Network

    Institute of Scientific and Technical Information of China (English)

    鄢田云; 张翠芳; 靳蕃

    2003-01-01

    Identification simulation for dynamical system which is based on genetic algorithm (GA) and recurrent multilayer neural network (RMNN) is presented. In order to reduce the inputs of the model, RMNN which can remember and store some previous parameters is used for identifier. And for its high efficiency and optimization, genetic algorithm is introduced into training RMNN. Simulation results show the effectiveness of the proposed scheme. Under the same training algorithm, the identification performance of RMNN is superior to that of nonrecurrent multilayer neural network (NRMNN).

  3. A Neuro-genetic Based Short-term Forecasting Framework for Network Intrusion Prediction System

    Institute of Scientific and Technical Information of China (English)

    Siva S. Sivatha Sindhu; S. Geetha; M. Marikannan; A. Kannan

    2009-01-01

    Information systems are one of the most rapidly changing and vulnerable systems, where security is a major issue. The number of security-breaking attempts originating inside organizations is increasing steadily. Attacks made in this way, usually done by "authorized" users of the system, cannot be immediately traced. Because the idea of filtering the traffic at the entrance door, by using firewalls and the like, is not completely successful, the use of intrusion detection systems should be considered to increase the defense capacity of an information system. An intrusion detection system (IDS) is usually working in a dynamically changing environment, which forces continuous tuning of the intrusion detection model, in order to maintain sufficient performance. The manual tuning process required by current IDS depends on the system operators in working out the tuning solution and in integrating it into the detection model. Furthermore, an extensive effort is required to tackle the newly evolving attacks and a deep study is necessary to categorize it into the respective classes. To reduce this dependence, an automatically evolving anomaly IDS using neuro-genetic algorithm is presented. The proposed system automatically tunes the detection model on the fly according to the feedback provided by the system operator when false predictions are encountered. The system has been evaluated using the Knowledge Discovery in Databases Conference (KDD 2009) intrusion detection dataset. Genetic paradigm is employed to choose the predominant features, which reveal the occurrence of intrusions. The neuro-genetic IDS (NGIDS) involves calculation of weightage value for each of the categorical attributes so that data of uniform representation can be processed by the neuro-genetic algorithm. In this system unauthorized invasion of a user are identified and newer types of attacks are sensed and classified respectively by the neuro-genetic algorithm. The experimental results obtained in this

  4. New Zealand mixed mice: a genetic systemic lupus erythematosus model for assessing environmental effects.

    OpenAIRE

    Rudofsky, U H; Lawrence, D A

    1999-01-01

    Systemic lupus erythematosus (SLE) is a multiphenotypic autoimmune disease. The hallmark of SLE is the production of anti-double-stranded DNA autoantibodies and the deposition of immune complexes in target tissues such as the kidney, skin, and brain. Additional phenotypic traits are the presence of arthritis, anemia, central nervous system involvement, and a variety of autoantibodies. Females of childbearing age are particularly at risk. Recent genetic analysis of murine SLE shows that suscep...

  5. Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design

    Directory of Open Access Journals (Sweden)

    A. K. Rath

    2006-01-01

    Full Text Available The design of complex embedded systems involves the simultaneous optimization of several conflicting and competing objectives. Instead of a single global optimal solution, there exist a set of Pareto optimal solutions. In this study we have used a multi-objective evolutionary optimization algorithms called non-dominated sorting genetic algorithm (NSGA, which will suit to the requirements of designing a complex heterogeneous embedded system. Further, the algorithm is rigorously tested using Video Codec as a case study

  6. Economically adapted transmission systems in open access schemes -- Application of genetic algorithms

    Energy Technology Data Exchange (ETDEWEB)

    Rudnick, H.; Palma, R.; Cura, E.; Silva, C. [Pontificia Univ. Catolica de Chile, Santiago (Chile). Dept. de Ingenieria Electrica

    1996-08-01

    A dynamic transmission planning methodology using a genetic algorithm is formulated for the purpose of determining an economically adapted electric transmission system in a deregulated open access environment. Transmission investment sensitivity information linked to short term marginal income is used. A computer program is developed and applied to obtain a long range adapted transmission grid for the Chilean electrical system. Two open access pricing methodologies are evaluated in a spot price framework, as applied to the adapted grid over the time horizon.

  7. happiness is devotion

    Institute of Scientific and Technical Information of China (English)

    龚丽君

    2011-01-01

    Under the scorching sun, an old man sat by the bankstaring at the buoy on the river. From dawn to dusk he stillgot nothing in his hands. However, the old man was happyat ease. I felt so puzzled about it.

  8. The purpose of non-theistic devotion in the classical Indian tradition of Sāṃkhya – Yoga

    Directory of Open Access Journals (Sweden)

    Marzenna Jakubczak

    2014-06-01

    Full Text Available The paper starts with some textual distinctions concerning the concept of God in the metaphysical framework of two classical schools of Hindu philosophy, Sāṃkhya and Yoga. Then the author focuses on the functional and pedagogical aspects of prayer as well as practical justification of “religious meditation” in both philosophical schools. A special attention is put on the practice called īśvarapraṇidhāna, recommended in Yoga school, which is interpreted by the author as a form of non-theistic devotion. The meaning of the central object of this concentration, that is puruṣa-viśeṣa, is reconsidered in detail. The subject matter is discussed in the wider context of yogic self-discipline that enables a practitioner to overcome ignorance ( avidyā and the narrowness of egotic perspective ( asmitā, recognized in the Hindu darśanas as the root-cause of all suffering or never-fulfilled-satisfaction ( duḥkha. The non-the¬istic devotion and spiritual pragmatism assumed by the adherents of Sāṃkhya-Yoga redefines the concept of “God” ( īśvara as primarily an object of meditative practice and a special tool convenient for spiritual pedagogy.

  9. A Novel Method for Optimum Global Positioning System Satellite Selection Based on a Modified Genetic Algorithm.

    Science.gov (United States)

    Song, Jiancai; Xue, Guixiang; Kang, Yanan

    2016-01-01

    In this paper, a novel method for selecting a navigation satellite subset for a global positioning system (GPS) based on a genetic algorithm is presented. This approach is based on minimizing the factors in the geometric dilution of precision (GDOP) using a modified genetic algorithm (MGA) with an elite conservation strategy, adaptive selection, adaptive mutation, and a hybrid genetic algorithm that can select a subset of the satellites represented by specific numbers in the interval (4 ∼ n) while maintaining position accuracy. A comprehensive simulation demonstrates that the MGA-based satellite selection method effectively selects the correct number of optimal satellite subsets using receiver autonomous integrity monitoring (RAIM) or fault detection and exclusion (FDE). This method is more adaptable and flexible for GPS receivers, particularly for those used in handset equipment and mobile phones.

  10. Understanding mammalian genetic systems: the challenge of phenotyping in the mouse.

    Directory of Open Access Journals (Sweden)

    Steve D M Brown

    2006-08-01

    Full Text Available Understanding mammalian genetic systems is predicated on the determination of the relationship between genetic variation and phenotype. Several international programmes are under way to deliver mutations in every gene in the mouse genome. The challenge for mouse geneticists is to develop approaches that will provide comprehensive phenotype datasets for these mouse mutant libraries. Several factors are critical to success in this endeavour. It will be important to catalogue assay and environment and where possible to adopt standardised procedures for phenotyping tests along with common environmental conditions to ensure comparable datasets of phenotypes. Moreover, the scale of the task underlines the need to invest in technological development improving both the speed and cost of phenotyping platforms. In addition, it will be necessary to develop new informatics standards that capture the phenotype assay as well as other factors, genetic and environmental, that impinge upon phenotype outcome.

  11. The quantitative basis of the Arabidopsis innate immune system to endemic pathogens depends on pathogen genetics

    DEFF Research Database (Denmark)

    Corwin, Jason A; Copeland, Daniel; Feusier, Julie

    2016-01-01

    the Arabidopsis-Botrytis pathosystem to explore the quantitative genetic architecture underlying host innate immune system in a population of Arabidopsis thaliana. By infecting a diverse panel of Arabidopsis accessions with four phenotypically and genotypically distinct isolates of the fungal necrotroph B...... of pathogen genetic variation in analyzing host quantitative resistance. While known resistance genes, such as receptor-like kinases (RLKs) and nucleotide-binding site leucine-rich repeat proteins (NLRs), were found to be enriched among associated genes, they only account for a small fraction of the total......, including defense hormone signaling and ROS production, as well as novel processes, such as leaf development. Validation of single gene T-DNA knockouts in a Col-0 background demonstrate a high success rate (60%) when accounting for differences in environmental and Botrytis genetic variation. This study...

  12. Deadlock-free genetic scheduling algorithm for automated manufacturing systems based on deadlock control policy.

    Science.gov (United States)

    Xing, KeYi; Han, LiBin; Zhou, MengChu; Wang, Feng

    2012-06-01

    Deadlock-free control and scheduling are vital for optimizing the performance of automated manufacturing systems (AMSs) with shared resources and route flexibility. Based on the Petri net models of AMSs, this paper embeds the optimal deadlock avoidance policy into the genetic algorithm and develops a novel deadlock-free genetic scheduling algorithm for AMSs. A possible solution of the scheduling problem is coded as a chromosome representation that is a permutation with repetition of parts. By using the one-step look-ahead method in the optimal deadlock control policy, the feasibility of a chromosome is checked, and infeasible chromosomes are amended into feasible ones, which can be easily decoded into a feasible deadlock-free schedule. The chromosome representation and polynomial complexity of checking and amending procedures together support the cooperative aspect of genetic search for scheduling problems strongly.

  13. Uniparental genetic systems: a male and a female perspective in the domestic cattle origin and evolution

    Directory of Open Access Journals (Sweden)

    Piera Di Lorenzo

    2016-09-01

    Full Text Available Over the last 20 years, the two uniparentally inherited marker systems, namely mitochondrial DNA and Y chromosome have been widely employed to solve questions about origin and prehistorical range expansions, demographic processes, both in humans and domestic animals. The mtDNA and the Y chromosome, with their unique patterns of inheritance, continue to be extremely important source of information. These markers played significant roles in farm animals in the evaluation of the genetic variation within- and among-breed strains and lines and have widely applied in the fields of linkage mapping, paternity tests, prediction of breeding values in genome-assisted selection, analysis of genetic diversity within breeds detection of population admixture, assessment of inbreeding and relationships between breeds, and assignment of individuals to their breed of origin. This approach offers a unique opportunity to save genetic resources and achieving improved productivity. In the past years, significant progress was achieved in reconstructing detailed cattle phylogenies; many studies indicated multiple parental sources and several levels of phylogeographic structuring. More detailed researches are still in progress in order to provide a more comprehensive picture of such extant variability. This paper is focused on reviewing the use of the two uniparental markers as valuable tool for the characterization of cattle genetic diversity. Furthermore, their implications in animal breeding, management and genetic resources conservation are also reported.

  14. Spatial genetic structuring of baobab (Adansonia digitata, Malvaceae) in the traditional agroforestry systems of West Africa.

    Science.gov (United States)

    Kyndt, Tina; Assogbadjo, Achille E; Hardy, Olivier J; Glele Kakaï, Romain; Sinsin, Brice; Van Damme, Patrick; Gheysen, Godelieve

    2009-05-01

    This study evaluates the spatial genetic structure of baobab (Adansonia digitata) populations from West African agroforestry systems at different geographical scales using AFLP fingerprints. Eleven populations from four countries (Benin, Ghana, Burkina Faso, and Senegal) had comparable levels of genetic diversity, although the two populations in the extreme west (Senegal) had less diversity. Pairwise F(ST) ranged from 0.02 to 0.28 and increased with geographic distance, even at a regional scale. Gene pools detected by Bayesian clustering seem to be a byproduct of the isolation-by-distance pattern rather than representing actual discrete entities. The organization of genetic diversity appears to result essentially from spatially restricted gene flow, with some influences of human seed exchange. Despite the potential for relatively long-distance pollen and seed dispersal by bats within populations, statistically significant spatial genetic structuring within populations (SGS) was detected and gave a mean indirect estimate of neighborhood size of ca. 45. This study demonstrated that relatively high levels of genetic structuring are present in baobab at both large and within-population level, which was unexpected in regard to its dispersal by bats and the influence of human exchange of seeds. Implications of these results for the conservation of baobab populations are discussed.

  15. Fuzzy Control System of Hydraulic Roll Bending Based on Genetic Neural Network

    Institute of Scientific and Technical Information of China (English)

    JIA Chun-yu; LIU Hong-min; ZHOU Hui-feng

    2005-01-01

    For nonlinear hydraulic roll bending control, a new fuzzy intelligent control method was proposed based on the genetic neural network. The method taking account of dynamic and static characteristics of control system has settled the problems of recognizing and controlling the unknown, uncertain and nonlinear system successfully,and has been applied to hydraulic roll bending control. The simulation results indicate that the system has good performance and strong robustness, and is better than traditional PID and neural-fuzzy control. The method is an effective tool to control roll bending force with increased dynamic response speed of control system and enhanced tracking accuracy.

  16. Calcium imaging in the Drosophila olfactory system with a genetic indicator.

    Science.gov (United States)

    Root, Cory M; Wong, Allan M; Flores, Jorge; Wang, Jing W

    2013-11-01

    Insects show sophisticated odor-mediated behaviors controlled by an olfactory system that is genetically and anatomically simpler than that of vertebrates, providing an attractive system to investigate the mechanistic link between behavior and odor perception. Advances in neuroscience have been facilitated by modern optical imaging technologies--both in instrumentation and in probe design--that permit the visualization of functional neural circuits. Imaging calcium activity in genetically defined populations of neurons provides an important tool for investigating the function of neural circuits. This article describes a two-photon imaging system for monitoring neural activity in the Drosophila antennal lobe. Odor-evoked calcium activity is followed by measuring the specific expression of the calcium-sensitive green fluorescent protein G-CaMP in Drosophila antennae-brain preparations.

  17. The Parameters Optimization of MCR-WPT System Based on the Improved Genetic Simulated Annealing Algorithm

    Directory of Open Access Journals (Sweden)

    Sheng Lu

    2015-01-01

    Full Text Available To solve the problem of parameter selection during the design of magnetically coupled resonant wireless power transmission system (MCR-WPT, this paper proposed an improved genetic simulated annealing algorithm. Firstly, the equivalent circuit of the system is analysis in this study and a nonlinear programming mathematical model is built. Secondly, in place of the penalty function method in the genetic algorithm, the selection strategy based on the distance between individuals is adopted to select individual. In this way, it reduces the excess empirical parameters. Meanwhile, it can improve the convergence rate and the searching ability by calculating crossover probability and mutation probability according to the variance of population’s fitness. At last, the simulated annealing operator is added to increase local search ability of the method. The simulation shows that the improved method can break the limit of the local optimum solution and get the global optimum solution faster. The optimized system can achieve the practical requirements.

  18. Genetic Algorithm and Fuzzy Tuning PID Controller Applied on Speed Control System for Marine Diesel Engines

    Directory of Open Access Journals (Sweden)

    Naeim Farouk

    2012-11-01

    Full Text Available The degree of speed control of ship machinery effects on the economics and optimization of the machinery configuration and operation. All marine vessel ranging need some sort of speed control system to control and govern the speed of the marine diesel engines. The main focus of this study is to apply and comparative between two specific soft-computing techniques. Fuzzy logic controller and genetic algorithm to design and tuning of PID controller for applied on speed control system of marine diesel engine to get an output with better dynamic and static performance. Simulation results show that the response of system when using genetic algorithm is better and faster than when using fuzzy tuning PID controller.

  19. Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses

    Directory of Open Access Journals (Sweden)

    Jiajia Dou

    2015-01-01

    Full Text Available A new hybrid solution is presented to improve the efficiency of intelligent warehouses with multirobot systems, where the genetic algorithm (GA based task scheduling is combined with reinforcement learning (RL based path planning for mobile robots. Reinforcement learning is an effective approach to search for a collision-free path in unknown dynamic environments. Genetic algorithm is a simple but splendid evolutionary search method that provides very good solutions for task allocation. In order to achieve higher efficiency of the intelligent warehouse system, we design a new solution by combining these two techniques and provide an effective and alternative way compared with other state-of-the-art methods. Simulation results demonstrate the effectiveness of the proposed approach regarding the optimization of travel time and overall efficiency of the intelligent warehouse system.

  20. Three-dimensional microscope vision system based on micro laser line scanning and adaptive genetic algorithms

    Science.gov (United States)

    Apolinar, J.; Rodríguez, Muñoz

    2017-02-01

    A microscope vision system to retrieve small metallic surface via micro laser line scanning and genetic algorithms is presented. In this technique, a 36 μm laser line is projected on the metallic surface through a laser diode head, which is placed to a small distance away from the target. The micro laser line is captured by a CCD camera, which is attached to the microscope. The surface topography is computed by triangulation by means of the line position and microscope vision parameters. The calibration of the microscope vision system is carried out by an adaptive genetic algorithm based on the line position. In this algorithm, an objective function is constructed from the microscope geometry to determine the microscope vision parameters. Also, the genetic algorithm provides the search space to calculate the microscope vision parameters with high accuracy in fast form. This procedure avoids errors produced by the missing of references and physical measurements, which are employed by the traditional microscope vision systems. The contribution of the proposed system is corroborated by an evaluation via accuracy and speed of the traditional microscope vision systems, which retrieve micro-scale surface topography.

  1. Efficient search, mapping, and optimization of multi-protein genetic systems in diverse bacteria.

    Science.gov (United States)

    Farasat, Iman; Kushwaha, Manish; Collens, Jason; Easterbrook, Michael; Guido, Matthew; Salis, Howard M

    2014-01-01

    Developing predictive models of multi-protein genetic systems to understand and optimize their behavior remains a combinatorial challenge, particularly when measurement throughput is limited. We developed a computational approach to build predictive models and identify optimal sequences and expression levels, while circumventing combinatorial explosion. Maximally informative genetic system variants were first designed by the RBS Library Calculator, an algorithm to design sequences for efficiently searching a multi-protein expression space across a > 10,000-fold range with tailored search parameters and well-predicted translation rates. We validated the algorithm's predictions by characterizing 646 genetic system variants, encoded in plasmids and genomes, expressed in six gram-positive and gram-negative bacterial hosts. We then combined the search algorithm with system-level kinetic modeling, requiring the construction and characterization of 73 variants to build a sequence-expression-activity map (SEAMAP) for a biosynthesis pathway. Using model predictions, we designed and characterized 47 additional pathway variants to navigate its activity space, find optimal expression regions with desired activity response curves, and relieve rate-limiting steps in metabolism. Creating sequence-expression-activity maps accelerates the optimization of many protein systems and allows previous measurements to quantitatively inform future designs.

  2. Applications of the Saccharomyces cerevisiae Flp-FRT system in bacterial genetics.

    Science.gov (United States)

    Schweizer, Herbert P

    2003-01-01

    The Flp-FRT site-specific recombination system from Saccharomyces cerevisiae is a powerful and efficient tool for high-throughput genetic analysis of bacteria in the postgenomic era. This review highlights the features of the Flp-FRT system, describes current bacterial genetic methods incorporating this technology and, finally, suggests potential future uses of this system. In combination with improved allele replacement methods, recyclable FRT mutagenesis cassettes, whose antibiotic resistance markers can be excised from the chromosome in vivo, are useful for the rapid construction of multiple, unmarked mutations in the same chromosome, and thus aid in the generation of live vaccine strains or food-safe bacteria. The high-specificity of the Flp-FRT system makes it also applicable for manipulation of whole genomes, including in vivo cloning of large genomic segments. Integration-proficient vectors, from which antibiotic resistance markers and replication functions can be evicted after integration of the desired sequences into the chromosome, are useful for the construction of strains destined for environmental release, e.g. strains used as biosensors or for bioremediation. Although the Flp-FRT system is extremely efficient and easy to use, its true potential in bacterial genetics has not yet been fully exploited. On the contrary, in many instances this technology is probably greatly underutilized, especially in gram-positive bacteria.

  3. Reconstructing genetic mating systems in the absence of parental information in colonially breeding waterbirds

    Directory of Open Access Journals (Sweden)

    Mussi Gonçalves Priscila F

    2011-07-01

    Full Text Available Abstract Background DNA-based studies have demonstrated that avian genetic mating systems vary widely, with many species deviating from long-assumed monogamy by practicing extra-pair paternity and conspecific brood parasitism. Colonially breeding waterbirds provide interesting models in which to investigate this question because they show nesting habits proposed to promote alternative reproductive strategies. However, little is known about the genetic mating systems of this group of birds, mainly due to difficulties in obtaining genetic data from incubating adults at nests that are necessary for conducting conventional parentage studies. Here, we inferred kinship patterns among offspring in broods of three co-distributed waterbird species, Wood Stork (Mycteria americana, Roseate Spoonbill (Platalea ajaja and Great Egret (Ardea alba egretta, to investigate genetic mating system in the absence of parental data. Results Multi-step analyses combining estimates of relatedness coefficients, formulation of relationship-hypotheses, significance testing of alternative hypotheses, and maximum-likelihood sibship reconstruction techniques revealed evidence that alternative reproductive strategies may be present in natural populations of Wood Storks and Roseate Spoonbills, whereas relatedness of co-nestlings diagnosed in the Great Egrets did not deviate from a hypothesis of genetic monogamy. Specifically, under this analytical framework, inferred kinship relationships revealed that Great Egret nests contained full-sibling nestlings (100%, with the Roseate Spoonbill (RS and Wood Stork (WS exhibiting proportions of half-siblings (RS: 5% and/or unrelated nestlings (RS: 24%; WS: 70%, patterns consistent with extra-pair paternity and conspecific brood parasitism, respectively. Conclusions We provide evidence that genetic monogamy occurs in Brazilian natural breeding colonies of the Great Egret, but is not the sole reproductive strategy employed by the Wood Stork

  4. The genetic sex-determination system predicts adult sex ratios in tetrapods.

    Science.gov (United States)

    Pipoly, Ivett; Bókony, Veronika; Kirkpatrick, Mark; Donald, Paul F; Székely, Tamás; Liker, András

    2015-11-05

    The adult sex ratio (ASR) has critical effects on behaviour, ecology and population dynamics, but the causes of variation in ASRs are unclear. Here we assess whether the type of genetic sex determination influences the ASR using data from 344 species in 117 families of tetrapods. We show that taxa with female heterogamety have a significantly more male-biased ASR (proportion of males: 0.55 ± 0.01 (mean ± s.e.m.)) than taxa with male heterogamety (0.43 ± 0.01). The genetic sex-determination system explains 24% of interspecific variation in ASRs in amphibians and 36% in reptiles. We consider several genetic factors that could contribute to this pattern, including meiotic drive and sex-linked deleterious mutations, but further work is needed to quantify their effects. Regardless of the mechanism, the effects of the genetic sex-determination system on the adult sex ratio are likely to have profound effects on the demography and social behaviour of tetrapods.

  5. Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach.

    Science.gov (United States)

    Pascual, Laura; Xu, Jiaxin; Biais, Benoît; Maucourt, Mickaël; Ballias, Patricia; Bernillon, Stéphane; Deborde, Catherine; Jacob, Daniel; Desgroux, Aurore; Faurobert, Mireille; Bouchet, Jean-Paul; Gibon, Yves; Moing, Annick; Causse, Mathilde

    2013-12-01

    Integrative systems biology proposes new approaches to decipher the variation of phenotypic traits. In an effort to link the genetic variation and the physiological and molecular bases of fruit composition, the proteome (424 protein spots), metabolome (26 compounds), enzymatic profile (26 enzymes), and phenotypes of eight tomato accessions, covering the genetic diversity of the species, and four of their F1 hybrids, were characterized at two fruit developmental stages (cell expansion and orange-red). The contents of metabolites varied among the genetic backgrounds, while enzyme profiles were less variable, particularly at the cell expansion stage. Frequent genotype by stage interactions suggested that the trends observed for one accession at a physiological level may change in another accession. In agreement with this, the inheritance modes varied between crosses and stages. Although additivity was predominant, 40% of the traits were non-additively inherited. Relationships among traits revealed associations between different levels of expression and provided information on several key proteins. Notably, the role of frucktokinase, invertase, and cysteine synthase in the variation of metabolites was highlighted. Several stress-related proteins also appeared related to fruit weight differences. These key proteins might be targets for improving metabolite contents of the fruit. This systems biology approach provides better understanding of networks controlling the genetic variation of tomato fruit composition. In addition, the wide data sets generated provide an ideal framework to develop innovative integrated hypothesis and will be highly valuable for the research community.

  6. Genetic variation in the endocannabinoid system and response to Cognitive Behavior Therapy for child anxiety disorders.

    Science.gov (United States)

    Lester, Kathryn J; Coleman, Jonathan R I; Roberts, Susanna; Keers, Robert; Breen, Gerome; Bögels, Susan; Creswell, Cathy; Hudson, Jennifer L; McKinnon, Anna; Nauta, Maaike; Rapee, Ronald M; Schneider, Silvia; Silverman, Wendy K; Thastum, Mikael; Waite, Polly; Wergeland, Gro Janne H; Eley, Thalia C

    2017-03-01

    Extinction learning is an important mechanism in the successful psychological treatment of anxiety. Individual differences in response and relapse following Cognitive Behavior Therapy may in part be explained by variability in the ease with which fears are extinguished or the vulnerability of these fears to re-emerge. Given the role of the endocannabinoid system in fear extinction, this study investigates whether genetic variation in the endocannabinoid system explains individual differences in response to CBT. Children (N = 1,309) with a primary anxiety disorder diagnosis were recruited. We investigated the relationship between variation in the CNR1, CNR2, and FAAH genes and change in primary anxiety disorder severity between pre- and post-treatment and during the follow-up period in the full sample and a subset with fear-based anxiety disorder diagnoses. Change in symptom severity during active treatment was nominally associated (P < 0.05) with two SNPs. During the follow-up period, five SNPs were nominally associated with a poorer treatment response (rs806365 [CNR1]; rs2501431 [CNR2]; rs2070956 [CNR2]; rs7769940 [CNR1]; rs2209172 [FAAH]) and one with a more favorable response (rs6928813 [CNR1]). Within the fear-based subset, the effect of rs806365 survived multiple testing corrections (P < 0.0016). We found very limited evidence for an association between variants in endocannabinoid system genes and treatment response once multiple testing corrections were applied. Larger, more homogenous cohorts are needed to allow the identification of variants of small but statistically significant effect and to estimate effect sizes for these variants with greater precision in order to determine their potential clinical utility. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by

  7. Molecular Detection of Bladder Cancer by Fluorescence Microsatellite Analysis and an Automated Genetic Analyzing System

    Directory of Open Access Journals (Sweden)

    Sarel Halachmi

    2007-01-01

    Full Text Available To investigate the ability of an automated fluorescent analyzing system to detect microsatellite alterations, in patients with bladder cancer. We investigated 11 with pathology proven bladder Transitional Cell Carcinoma (TCC for microsatellite alterations in blood, urine, and tumor biopsies. DNA was prepared by standard methods from blood, urine and resected tumor specimens, and was used for microsatellite analysis. After the primers were fluorescent labeled, amplification of the DNA was performed with PCR. The PCR products were placed into the automated genetic analyser (ABI Prism 310, Perkin Elmer, USA and were subjected to fluorescent scanning with argon ion laser beams. The fluorescent signal intensity measured by the genetic analyzer measured the product size in terms of base pairs. We found loss of heterozygocity (LOH or microsatellite alterations (a loss or gain of nucleotides, which alter the original normal locus size in all the patients by using fluorescent microsatellite analysis and an automated analyzing system. In each case the genetic changes found in urine samples were identical to those found in the resected tumor sample. The studies demonstrated the ability to detect bladder tumor non-invasively by fluorescent microsatellite analysis of urine samples. Our study supports the worldwide trend for the search of non-invasive methods to detect bladder cancer. We have overcome major obstacles that prevented the clinical use of an experimental system. With our new tested system microsatellite analysis can be done cheaper, faster, easier and with higher scientific accuracy.

  8. Construction and characterisation of a complete reverse genetics system of dengue virus type 3

    Directory of Open Access Journals (Sweden)

    Jefferson Jose da Silva Santos

    2013-12-01

    Full Text Available Dengue virulence and fitness are important factors that determine disease outcome. However, dengue virus (DENV molecular biology and pathogenesis are not completely elucidated. New insights on those mechanisms have been facilitated by the development of reverse genetic systems in the past decades. Unfortunately, instability of flavivirus genomes cloned in Escherichia coli has been a major problem in these systems. Here, we describe the development of a complete reverse genetics system, based on the construction of an infectious clone and replicon for a low passage DENV-3 genotype III of a clinical isolate. Both constructs were assembled into a newly designed yeast- E. coli shuttle vector by homologous recombination technique and propagated in yeast to prevent any possible genome instability in E. coli . RNA transcripts derived from the infectious clone are infectious upon transfection into BHK-21 cells even after repeated passages of the plasmid in yeast. Transcript-derived DENV-3 exhibited growth kinetics, focus formation size comparable to original DENV-3 in mosquito C6/36 cell culture. In vitro characterisation of DENV-3 replicon confirmed its identity and ability to replicate transiently in BHK-21 cells. The reverse genetics system reported here is a valuable tool that will facilitate further molecular studies in DENV replication, virus attenuation and pathogenesis.

  9. Research on central heating system control strategy based on genetic algorithm

    Science.gov (United States)

    Ding, Sa; Yang, Jianhua; Lu, Wei; Duan, Zhipeng

    2017-03-01

    The central heating is a major way of warming in northeast China in winter, however, the traditional heating method is inefficient, intensifying the energy consumption. How to improve the heating efficiency and reduce energy waste attracts more and more attentions in our country. In this paper, the mathematical model of heat transfer station temperature control system was established based on the structure of central heating system. The feedforward-feedback control strategy was used to overcome temperature fluctuations caused by the pressurized heating exchange system. The genetic algorithm was used to optimize the parameters of PID controller and simulation results demonstrated that central heating temperature achieved well control effect and meet stabilization requirements.

  10. Genetic algorithm optimization of grating coupled near-field interference lithography systems at extreme numerical apertures

    Science.gov (United States)

    Bourke, Levi; Blaikie, Richard J.

    2017-09-01

    Grating coupled near-field interference lithography has the ability to produce deep-subwavelength interference patterns. Simulations of these systems is very computationally intensive. An inverse design procedure employing a genetic algorithm is utilized here to massively reduce the computational load and allow for the design of systems capable of interfering extremely high numerical apertures. This method is used to optimize systems with an interference patterns with a half pitch of λ /40 corresponding to a numerical aperture of 20. It is also used to demonstrate interference of higher | m| diffraction orders.

  11. Application of Improved Genetic Algorithm in Network Fault Diagnosis Expert System

    Institute of Scientific and Technical Information of China (English)

    苏利敏; 侯朝桢; 戴忠健; 张雅静

    2003-01-01

    Knowledge acquisition is the "bottleneck" of building an expert system. Based on the optimization model, an improved genetic algorithm applied to knowledge acquisition of a network fault diagnostic expert system is proposed. The algorithm applies operators such as selection, crossover and mutation to evolve an initial population of diagnostic rules. Especially, a self-adaptive method is put forward to regulate the crossover rate and mutation rate. In the end, a knowledge acquisition problem of a simple network fault diagnostic system is simulated, the results of simulation show that the improved approach can solve the problem of convergence better.

  12. Optimization of Hybrid PV/Wind Energy System Using Genetic Algorithm (GA

    Directory of Open Access Journals (Sweden)

    Satish Kumar Ramoji

    2014-01-01

    Full Text Available In this paper, a new approach of optimum design for a Hybrid PV/Wind energy system is presented in order to assist the designers to take into consideration both the economic and ecological aspects. When the stand alone energy system having photovoltaic panels only or wind turbine only are compared with the hybrid PV/wind energy systems, the hybrid systems are more economical and reliable according to climate changes. This paper presents an optimization technique to design the hybrid PV/wind system. The hybrid system consists of photovoltaic panels, wind turbines and storage batteries. Genetic Algorithm (GA optimization technique is utilized to minimize the formulated objective function, i.e. total cost which includes initial costs, yearly replacement cost, yearly operating costs and maintenance costs and salvage value of the proposed hybrid system. A computer program is designed, using MATLAB code to formulate the optimization problem by computing the coefficients of the objective function. The method mentioned in this article is proved to be effective using an example of hybrid energy system. Finally, the optimal solution is achieved by Genetic Algorithm (GA optimization method.

  13. THE TRADITION OF MAY DEVOTIONS TO THE VIRGIN MARY IN LATGALE (LATVIA: FROM THE PAST TO THE PRESENT

    Directory of Open Access Journals (Sweden)

    AIGARS LIELBĀRDIS

    2016-04-01

    Full Text Available An important role has been allocated to the Virgin Mary since the very beginnings of Christianity. According to the calendar of the Roman Catholic Church, May is dedicated to honouring the Virgin Mary. Due to her human origins, she has become an intermediary between people and God, capable of influencing the decisions of her son Jesus Christ, and providing assistance to people of her own accord. Together with God and Jesus Christ, she is considered to have extraordinary, saintly qualities in Latvian Catholic communities. At the beginning of the 19th century, the tradition of May devotions began to spread widely in Catholic territories in Latvia. Currently the services are usually performed by womenfolk in the rural environment. Every evening or on weekends in May, people gather to pray and sing in churches, cemeteries, at crossroads, or in the centre or the edge of villages where crucifixes are located

  14. A genetic algorithm for dynamic parameters reverse deduction of integrated anchorage system

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    In the analysis of the system of anchoring bar and wall rock in small strain and longitudinal vibration dynamic response, the influence of the cement grouting as well as the rock layer on the anchor bar can be evaluated as the two kinds of parameters: the dynamic stiffness and the damp, which are the vital reference of the anchorage quality. Based on the analytic solution to the dynamic equation of the integrated anchor bar, the new approach which combines genetic algorithm and the toolbox of Matlab is applied to solve the problem of multi-parameters reverse deduction for integrated anchorage system in dynamic testing. Using the traits of the self-organizing, self-adapting and the fast convergence speed of the genetic algorithm, the optimum of all possible solutions to dynamic parameters is obtained by calculating the project instances. Examples show that the method presented in this paper is effective and reliable.

  15. Application Research of Genetic Algorithm on the Whole-Spacecraft Vibration Isolation System

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jun; HUA Hong-xing; WEI Ling-yun

    2007-01-01

    The objective of the whole-spacecraft vibration isolation (WSVI) system is to reduce the launch-induced dynamic loads and the quality control cost of the satellite and its components, and to increase the launch reliability by insertion of isolators between the satellite and the launch vehicle. A niche hybrid genetic algorithm (NHGA) is proposed to optimize stiffness and damping of the isolators. Through the comparison of the frequency response analysis results, it shows that the optimized WSVI system more effectively reduces spacecraft axial / lateral response due to the broadband structure-born launch environment. At the same time, the case of the whole-spacecraft vibration isolation optimization design demonstrates the efficiency and validity of the genetic algorithm.

  16. Real-Time Scheduling in Heterogeneous Systems Considering Cache Reload Time Using Genetic Algorithms

    Science.gov (United States)

    Miryani, Mohammad Reza; Naghibzadeh, Mahmoud

    Since optimal assignment of tasks in a multiprocessor system is, in almost all practical cases, an NP-hard problem, in recent years some algorithms based on genetic algorithms have been proposed. Some of these algorithms have considered real-time applications with multiple objectives, total tardiness, completion time, etc. Here, we propose a suboptimal static scheduler of nonpreemptable tasks in hard real-time heterogeneous multiprocessor systems considering time constraints and cache reload time. The approach makes use of genetic algorithm to minimize total completion time and number of processors used, simultaneously. One important issue which makes this research different from previous ones is cache reload time. The method is implemented and the results are compared against a similar method.

  17. Y-chromosomal insights into the genetic impact of the caste system in India.

    Science.gov (United States)

    Zerjal, Tatiana; Pandya, Arpita; Thangaraj, Kumarasamy; Ling, Edmund Y S; Kearley, Jennifer; Bertoneri, Stefania; Paracchini, Silvia; Singh, Lalji; Tyler-Smith, Chris

    2007-03-01

    The caste system has persisted in Indian Hindu society for around 3,500 years. Like the Y chromosome, caste is defined at birth, and males cannot change their caste. In order to investigate the genetic consequences of this system, we have analysed male-lineage variation in a sample of 227 Indian men of known caste, 141 from the Jaunpur district of Uttar Pradesh and 86 from the rest of India. We typed 131 Y-chromosomal binary markers and 16 microsatellites. We find striking evidence for male substructure: in particular, Brahmins and Kshatriyas (but not other castes) from Jaunpur each show low diversity and the predominance of a single distinct cluster of haplotypes. These findings confirm the genetic isolation and drift within the Jaunpur upper castes, which are likely to result from founder effects and social factors. In the other castes, there may be either larger effective population sizes, or less strict isolation, or both.

  18. Next-generation sequencing approaches in genetic rodent model systems to study functional effects of human genetic variation

    NARCIS (Netherlands)

    Guryev, Victor; Cuppen, Edwin

    2009-01-01

    Rapid advances in DNA sequencing improve existing techniques and enable new approaches in genetics and functional genomics, bringing about unprecedented coverage, resolution and sensitivity. Enhanced toolsets can facilitate the untangling of connections between genomic variation, environmental

  19. Next-generation sequencing approaches in genetic rodent model systems to study functional effects of human genetic variation.

    NARCIS (Netherlands)

    Guryev, V.; Cuppen, E.

    2009-01-01

    Rapid advances in DNA sequencing improve existing techniques and enable new approaches in genetics and functional genomics, bringing about unprecedented coverage, resolution and sensitivity. Enhanced toolsets can facilitate the untangling of connections between genomic variation, environmental facto

  20. Next-generation sequencing approaches in genetic rodent model systems to study functional effects of human genetic variation

    NARCIS (Netherlands)

    Guryev, Victor; Cuppen, Edwin

    2009-01-01

    Rapid advances in DNA sequencing improve existing techniques and enable new approaches in genetics and functional genomics, bringing about unprecedented coverage, resolution and sensitivity. Enhanced toolsets can facilitate the untangling of connections between genomic variation, environmental facto

  1. Genetic diversity and the mating system in a fragmented population of Tsoongiodendron odorum

    Directory of Open Access Journals (Sweden)

    Xia Wang

    2012-11-01

    Full Text Available Habitat fragmentation is one of the most serious threats to plant diversity. In general, fragmentation negatively impacts the genetic variability of plant populations due to increased random geneticdrift, inbreeding, and reductions in gene flow. To investigate the effect of habitat fragmentation on genetic diversity and the mating system of Tsoongiodendron odorum, in this study, we analyzed genetic diversity and the mating system in hierarchical levels at the population, stands, and the individual scales in a fragmented T.odorum population. We sampled and mapped 61 adult individuals from the population. Using eight microsatellite loci, we genotyped a total of 780 seeds from 15 maternal trees for the mating system analysis. The results revealed moderate levels of genetic diversity in both adults (HE = 0.522 and seeds (HE = 0.499 with no significant differences between the two ontogenic stages. In addition, we did not observe asignificant increase in the seeds inbreeding coefficient. Results from the multilocus mating system analysis indicated that T. odorum was an outbreeding species with a multilocus outcrossing rate (tm of 1.000. A small number of biparental inbreeding and correlated mating events were detected in this fragmented population. We found a small number of effective pollen donors (Nep is between 3.7 and 5.4, which seems to be a common character of insect-pollinated canopy trees. Minor differences in outcrossing rates were detected among stands, and more pollen donors were found in smaller stands. However, outcrossing rate was significantly different among individuals, and a few selfing events were detected in some seed trees. These results may provide fundamental information required to establish long term conservation strategies for this endangered tree which is endemic to China.

  2. Development and Testing of Complex Molecular Genetic Diagnosis of Neoplasms of the Genitourinary System

    Directory of Open Access Journals (Sweden)

    Telegeev, G.

    2015-03-01

    Full Text Available The comprehensive non-invasive diagnostic protocols for neoplasms of urogenital system based on the use of molecular genetic parameters such as determination of tmp rss2/erg rearrangement using reverse transcriptase chain reaction (PCR, the level of psa3/psa and cxcr4 gene expression using quantitative PCR, promoter methylation status of gstp1 gene using methyl-specific PCR was designed and tested.

  3. Transitions in a genetic transcriptional regulatory system under Lévy motion

    OpenAIRE

    Zheng, Yayun; Serdukova, Larissa; Duan, Jinqiao; Kurths, Jürgen

    2016-01-01

    Based on a stochastic differential equation model for a single genetic regulatory system, we examine the dynamical effects of noisy fluctuations, arising in the synthesis reaction, on the evolution of the transcription factor activator in terms of its concentration. The fluctuations are modeled by Brownian motion and α-stable Lévy motion. Two deterministic quantities, the mean first exit time (MFET) and the first escape probability (FEP), are used to analyse the transitions from the low to hi...

  4. System reliability analysis of layered soil slopes using fully specified slip surfaces and genetic algorithms

    OpenAIRE

    Zeng, Peng; Jiménez Rodríguez, Rafael; Jurado Piña, Rafael

    2015-01-01

    This paper presents a new approach to identify the fully specified representative slip surfaces (RSSs) of layered soil slopes and to compute their system probability of failure, Pf,s. Spencer's method is used to compute the factors of safety of trial slip surfaces, and the First Order Reliability Method (FORM) is employed to efficiently evaluate their reliability. A custom-designed Genetic Algorithm (GA) is developed to search all the RSSs in only one GA optimization. Taking advantage of the ...

  5. The Impact of Genetic Susceptibility to Systemic Lupus Erythematosus on Placental Malaria in Mice

    OpenAIRE

    2013-01-01

    Severe malaria, including cerebral malaria (CM) and placental malaria (PM), have been recognized to have many of the features of uncontrolled inflammation. We recently showed that in mice genetic susceptibility to the lethal inflammatory autoimmune disease, systemic lupus erythematosus (SLE), conferred resistance to CM. Protection appeared to be mediated by immune mechanisms that allowed SLE-prone mice, prior to the onset of overt SLE symptoms, to better control their inflammatory response to...

  6. A Genetic Algorithm Approach to Optimize Parameters in Infrared Guidance System

    Institute of Scientific and Technical Information of China (English)

    周德俊

    2001-01-01

    In the infrared guidance system, the gray level threshold is key for target recognition. After thresholding, a target in the binary image is distinguished from the complex background by three recognition features. Using a genetic algorithm, this paper seeks to find the optimal parameters varied with different sub-images to compute the adaptive segmentation threshold. The experimental results reveal that the GA paradigm is an efficient and effective method of search.

  7. Mating system and genetic diversity of a rare desert legume Ammopiptanthus nanus (Leguminosae)

    Institute of Scientific and Technical Information of China (English)

    Guo-Qing CHEN; Hong-Wen HUANG; Daniel J CRAWFORD; Bo-Rong PAN; Xue-Jun GE

    2009-01-01

    Ammopiptanthus nanus is an endangered evergreen shrub endemic to the deserts of central Asia and plays an important role in delaying further desertification. We examined allozyme variation and AFLP diversity in A. Nanus populations and investigated the mating system of this species using progeny arrays assayed for poly-morphic allozyme loci. Mating system analysis in the Keyi'eryongke'er population showed low levels of out-crossing, and strong inbreeding depression. Low levels of genetic variation were detected at both population (allozyme, Pp=14.0%,A=1.14, He=0.031; AFLP, Pp=14.5%, Shannon's information index I=0.063) and species (allozyme, Pp=21.1%,A=1.21, He=0.040; AFLP, Pp=20.9%, I=0.083) levels; while moderate genetic differentia-tion existed among populations, as indicated by allozymes (GST=0.081) and AFLP (GST=0.151-0.193). Founder effect, bottlenecks in evolutionary history, the mixed mating system and co-ancestry may have influenced the level of genetic diversity in A. Nanus. Markers of both types provide new insights for conservation management, indicating that the Biao'ertuokuoyi and Keyi'eryongke'er populations should be given priority for in situ conser-vation and regarded as seed sources for ex situ conservation.

  8. Dual-reporter surrogate systems for efficient enrichment of genetically modified cells.

    Science.gov (United States)

    Ren, Chonghua; Xu, Kun; Liu, Zhongtian; Shen, Juncen; Han, Furong; Chen, Zhilong; Zhang, Zhiying

    2015-07-01

    Isolation of genetically modified cells generated by designed nucleases are challenging, since they are often phenotypically indistinguishable from their parental cells. To efficiently enrich genetically modified cells, we developed two dual-reporter surrogate systems, namely NHEJ-RPG and SSA-RPG based on NHEJ and SSA repair mechanisms, respectively. Repair and enrichment efficiencies of these two systems were compared using different nucleases. In both CRISPR-Cas9- and ZFNs-induced DSB repair studies, we found that the efficiency and sensitivity of the SSA-RPG reporter with direct repeat length more than 200 bp were much higher than the NHEJ-RPG reporter. By utilizing the SSA-RPG reporter, we achieved the enrichment for indels in several endogenous loci with 6.3- to 34.8-fold of non-selected cells. Thus, the highly sensitive SSA-RPG reporter can be used for activity validation of designed nucleases and efficient enrichment of genetically modified cells. Besides, our systems offer alternative enrichment choices either by puromycin selection or FACS.

  9. Evaluation of a 13-loci STR multiplex system for Cannabis sativa genetic identification.

    Science.gov (United States)

    Houston, Rachel; Birck, Matthew; Hughes-Stamm, Sheree; Gangitano, David

    2016-05-01

    Marijuana (Cannabis sativa) is the most commonly used illicit substance in the USA. The development of a validated method using Cannabis short tandem repeats (STRs) could aid in the individualization of samples as well as serve as an intelligence tool to link multiple cases. For this purpose, a modified 13-loci STR multiplex method was optimized and evaluated according to ISFG and SWGDAM guidelines. A real-time PCR quantification method for C. sativa was developed and validated, and a sequenced allelic ladder was also designed to accurately genotype 199 C. sativa samples from 11 U.S. Customs and Border Protection seizures. Distinguishable DNA profiles were generated from 127 samples that yielded full STR profiles. Four duplicate genotypes within seizures were found. The combined power of discrimination of this multilocus system is 1 in 70 million. The sensitivity of the multiplex STR system is 0.25 ng of template DNA. None of the 13 STR markers cross-reacted with any of the studied species, except for Humulus lupulus (hops) which generated unspecific peaks. Phylogenetic analysis and case-to-case pairwise comparison of 11 cases using F st as genetic distance revealed the genetic association of four groups of cases. Moreover, due to their genetic similarity, a subset of samples (N = 97) was found to form a homogeneous population in Hardy-Weinberg and linkage equilibrium. The results of this research demonstrate the applicability of this 13-loci STR system in associating Cannabis cases for intelligence purposes.

  10. A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems

    Energy Technology Data Exchange (ETDEWEB)

    Sahoo, N.C. [Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450 Melaka (Malaysia); Prasad, K. [Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450 Melaka (Malaysia)

    2006-11-15

    This paper presents a fuzzy genetic approach for reconfiguration of radial distribution systems (RDS) so as to maximize the voltage stability of the network for a specific set of loads. The network reconfiguration involves a mechanism for selection of the best set of branches to be opened, one from each loop, such that the reconfigured RDS possesses desired performance characteristics. This discrete solution space is better handled by the proposed scheme, which maximizes a suitable optimizing function (computed using two different approaches). In the first approach, this function is chosen as the average of a voltage stability index of all the buses in the RDS, while in the second approach, the complete RDS is reduced to a two bus equivalent system and the optimizing function is the voltage stability index of this reduced two bus system. The fuzzy genetic algorithm uses a suitable coding and decoding scheme for maintaining the radial nature of the network at every stage of genetic evolution, and it also uses a fuzzy rule based mutation controller for efficient search of the solution space. This method, tested on 69 bus and 33 bus RDSs, shows promising results for the both approaches. It is also observed that the network losses are reduced when the voltage stability is enhanced by the network reconfiguration. (author)

  11. Origin and evolution of the dependent lineages in the genetic caste determination system of Pogonomyrmex ants.

    Science.gov (United States)

    Sirviö, Anu; Pamilo, Pekka; Johnson, Robert A; Page, Robert E; Gadau, Jürgen

    2011-03-01

    Hybridizing harvester ants of the Pogonomyrmex barbatus/rugosus complex have an exceptional genetic caste determination (GCD) mechanism. We combined computer simulations, population genomics, and linkage mapping using >1000 nuclear AFLP markers and a partial mtDNA sequence to explore the genetic architecture and origin of the dependent lineages. Our samples included two pairs of hybridizing lineages, and the mitochondrial and nuclear data showed contradicting affinities between them. Clustering of individual genotypes based on nuclear markers indicated some exceptions to the general GCD system, that is, interlineage hybrid genes as well as some pure-line workers. A genetic linkage map of P. rugosus showed one of the highest recombination rates ever measured in insects (14.0 cM/Mb), supporting the view that social insects are characterized by high recombination rates. The population data had 165 markers in which sibling pairs showed a significant genetic difference depending on the caste. The differences were scattered in the genome; 13 linkage groups had loci with F(ST)>0.9 between the hybridizing lineages J1 and J2.The mapping results and the population data indicate that the dependent lineages have been initially formed through hybridization at different points in time but the role of introgression has been insignificant in their later evolution.

  12. Design of the Fuzzy Control Systems Based on Genetic Algorithm for Intelligent Robots

    Directory of Open Access Journals (Sweden)

    Gyula Mester

    2014-07-01

    Full Text Available This paper gives the structure optimization of fuzzy control systems based on genetic algorithm in the MATLAB environment. The genetic algorithm is a powerful tool for structure optimization of the fuzzy controllers, therefore, in this paper, integration and synthesis of fuzzy logic and genetic algorithm has been proposed. The genetic algorithms are applied for fuzzy rules set, scaling factors and membership functions optimization. The fuzzy control structure initial consist of the 3 membership functions and 9 rules and after the optimization it is enough for the 4 DOF SCARA Robot control to compensate for structured and unstructured uncertainty. Fuzzy controller with the generalized bell membership functions can provide better dynamic performance of the robot then with the triangular membership functions. The proposed joint-space controller is computationally simple and had adaptability to a sudden change in the dynamics of the robot. Results of the computer simulation applied to the 4 DOF SCARA Robot show the validity of the proposed method.

  13. Targetable genetic features of primary testicular and primary central nervous system lymphomas.

    Science.gov (United States)

    Chapuy, Bjoern; Roemer, Margaretha G M; Stewart, Chip; Tan, Yuxiang; Abo, Ryan P; Zhang, Liye; Dunford, Andrew J; Meredith, David M; Thorner, Aaron R; Jordanova, Ekaterina S; Liu, Gang; Feuerhake, Friedrich; Ducar, Matthew D; Illerhaus, Gerald; Gusenleitner, Daniel; Linden, Erica A; Sun, Heather H; Homer, Heather; Aono, Miyuki; Pinkus, Geraldine S; Ligon, Azra H; Ligon, Keith L; Ferry, Judith A; Freeman, Gordon J; van Hummelen, Paul; Golub, Todd R; Getz, Gad; Rodig, Scott J; de Jong, Daphne; Monti, Stefano; Shipp, Margaret A

    2016-02-18

    Primary central nervous system lymphomas (PCNSLs) and primary testicular lymphomas (PTLs) are extranodal large B-cell lymphomas (LBCLs) with inferior responses to current empiric treatment regimens. To identify targetable genetic features of PCNSL and PTL, we characterized their recurrent somatic mutations, chromosomal rearrangements, copy number alterations (CNAs), and associated driver genes, and compared these comprehensive genetic signatures to those of diffuse LBCL and primary mediastinal large B-cell lymphoma (PMBL). These studies identify unique combinations of genetic alterations in discrete LBCL subtypes and subtype-selective bases for targeted therapy. PCNSLs and PTLs frequently exhibit genomic instability, and near-uniform, often biallelic, CDKN2A loss with rare TP53 mutations. PCNSLs and PTLs also use multiple genetic mechanisms to target key genes and pathways and exhibit near-uniform oncogenic Toll-like receptor signaling as a result of MYD88 mutation and/or NFKBIZ amplification, frequent concurrent B-cell receptor pathway activation, and deregulation of BCL6. Of great interest, PCNSLs and PTLs also have frequent 9p24.1/PD-L1/PD-L2 CNAs and additional translocations of these loci, structural bases of immune evasion that are shared with PMBL. © 2016 by The American Society of Hematology.

  14. Gene networks associated with conditional fear in mice identified using a systems genetics approach

    Directory of Open Access Journals (Sweden)

    Eskin Eleazar

    2011-03-01

    Full Text Available Abstract Background Our understanding of the genetic basis of learning and memory remains shrouded in mystery. To explore the genetic networks governing the biology of conditional fear, we used a systems genetics approach to analyze a hybrid mouse diversity panel (HMDP with high mapping resolution. Results A total of 27 behavioral quantitative trait loci were mapped with a false discovery rate of 5%. By integrating fear phenotypes, transcript profiling data from hippocampus and striatum and also genotype information, two gene co-expression networks correlated with context-dependent immobility were identified. We prioritized the key markers and genes in these pathways using intramodular connectivity measures and structural equation modeling. Highly connected genes in the context fear modules included Psmd6, Ube2a and Usp33, suggesting an important role for ubiquitination in learning and memory. In addition, we surveyed the architecture of brain transcript regulation and demonstrated preservation of gene co-expression modules in hippocampus and striatum, while also highlighting important differences. Rps15a, Kif3a, Stard7, 6330503K22RIK, and Plvap were among the individual genes whose transcript abundance were strongly associated with fear phenotypes. Conclusion Application of our multi-faceted mapping strategy permits an increasingly detailed characterization of the genetic networks underlying behavior.

  15. PID-Controller Tuning Optimization with Genetic Algorithms in Servo Systems

    Directory of Open Access Journals (Sweden)

    Arturo Y. Jaen-Cuellar

    2013-09-01

    Full Text Available Performance improvement is the main goal of the study of PID control and much research has been conducted for this purpose. The PID filter is implemented in almost all industrial processes because of its well-known beneficial features. In general, the whole system's performance strongly depends on the controller's efficiency and hence the tuning process plays a key role in the system's behaviour. In this work, the servo systems will be analysed, specifically the positioning control systems. Among the existent tuning methods, the Gain-Phase Margin method based on Frequency Response analysis is the most adequate for controller tuning in positioning control systems. Nevertheless, this method can be improved by integrating an optimization technique. The novelty of this work is the development of a new methodology for PID control tuning by coupling the Gain-Phase Margin method with the Genetic Algorithms in which the micro-population concept and adaptive mutation probability are applied. Simulations using a positioning system model in MATLAB and experimental tests in two CNC machines and an industrial robot are carried out in order to show the effectiveness of the proposal. The obtained results are compared with both the classical Gain-Phase Margin tuning and with a recent PID controller optimization using Genetic Algorithms based on real codification. The three methodologies are implemented using software.

  16. Genetic structure and breeding system in a social wasp and its social parasite

    Directory of Open Access Journals (Sweden)

    Kovacs Jennifer L

    2008-08-01

    Full Text Available Abstract Background Social insects dominate ecological communities because of their sophisticated group behaviors. However, the intricate behaviors of social insects may be exploited by social parasites, which manipulate insect societies for their own benefit. Interactions between social parasites and their hosts lead to unusual coevolutionary dynamics that ultimately affect the breeding systems and population structures of both species. This study represents one of the first attempts to understand the population and colony genetic structure of a parasite and its host in a social wasp system. Results We used DNA microsatellite markers to investigate gene flow, genetic variation, and mating behavior of the facultative social parasite Vespula squamosa and its primary host, V. maculifrons. Our analyses of genetic variability uncovered that both species possessed similar amounts of genetic variation and failed to show genetic structure over the sampling area. Our analysis of mating system of V. maculifrons and V. squamosa revealed high levels of polyandry and no evidence for inbreeding in the two species. Moreover, we found no significant differences between estimates of worker relatedness in this study and a previous investigation conducted over two decades ago, suggesting that the selective pressures operating on queen mate number have remained constant. Finally, the distribution of queen mate number in both species deviated from simple expectations suggesting that mate number may be under stabilizing selection. Conclusion The general biology of V. squamosa has not changed substantially from that of a typical, nonparasitic Vespula wasp. For example, population sizes of the host and its parasite appear to be similar, in contrast to other social parasites, which often display lower population sizes than their hosts. In addition, parasitism has not caused the mating behavior of V. squamosa queens to deviate from the high levels of multiple mating

  17. A new system identification approach to identify genetic variants in sequencing studies for a binary phenotype.

    Science.gov (United States)

    Kang, Guolian; Bi, Wenjian; Zhao, Yanlong; Zhang, Ji-Feng; Yang, Jun J; Xu, Heng; Loh, Mignon L; Hunger, Stephen P; Relling, Mary V; Pounds, Stanley; Cheng, Cheng

    2014-01-01

    We propose in this paper a set-valued (SV) system model, which is a generalized form of logistic (LG) and Probit (Probit) regression, to be considered as a method for discovering genetic variants, especially rare genetic variants in next-generation sequencing studies, for a binary phenotype. We propose a new SV system identification method to estimate all underlying key system parameters for the Probit model and compare it with the LG model in the setting of genetic association studies. Across an extensive series of simulation studies, the Probit method maintained type I error control and had similar or greater power than the LG method, which is robust to different distributions of noise: logistic, normal, or t distributions. Additionally, the Probit association parameter estimate was 2.7-46.8-fold less variable than the LG log-odds ratio association parameter estimate. Less variability in the association parameter estimate translates to greater power and robustness across the spectrum of minor allele frequencies (MAFs), and these advantages are the most pronounced for rare variants. For instance, in a simulation that generated data from an additive logistic model with an odds ratio of 7.4 for a rare single nucleotide polymorphism with a MAF of 0.005 and a sample size of 2,300, the Probit method had 60% power whereas the LG method had 25% power at the α = 10(-6) level. Consistent with these simulation results, the set of variants identified by the LG method was a subset of those identified by the Probit method in two example analyses. Thus, we suggest the Probit method may be a competitive alternative to the LG method in genetic association studies such as candidate gene, genome-wide, or next-generation sequencing studies for a binary phenotype.

  18. A New System Identification Approach to Identifying Genetic Variants in Sequencing Studies for A Binary Phenotype

    Science.gov (United States)

    Kang, Guolian; Bi, Wenjian; Zhao, Yanlong; Zhang, Ji-Feng; Yang, Jun J.; Xu, Heng; Loh, Mignon L.; Hunger, Stephen P.; Relling, Mary V.; Pounds, Stanley; Cheng, Cheng

    2014-01-01

    We propose in this paper a set-valued (SV) system model, which is a generalized form of Logistic (LG) and Probit (Probit) regression, to be considered as a method for discovering genetic variants, especially rare genetic variants in next generation sequencing studies, for a binary phenotype. We propose a new set-valued system identification method to estimate all the underlying key system parameters for the Probit model and compare it with the LG model in the setting of genetic association studies. Across an extensive series of simulation studies, the Probit method maintained Type I error control and had similar or greater power than the LG method which is robust to different distributions of noise: logistic, normal or t distributions. Additionally, the Probit association parameter estimate was 2.7–46.8 fold less variable than the LG log-odds ratio association parameter estimate. Less variability in the association parameter estimate translates to greater power and robustness across the spectrum of minor allele frequencies (MAFs), and these advantages are the most pronounced for rare variants. For instance, in a simulation that generated data from an additive logistic model with odds ratio of 7.4 for a rare single nucleotide polymorphism with a MAF of 0.005 and a sample size of 2300, the Probit method had 60% power whereas the LG method had 25% power at the α=10−6 level. Consistent with these simulation results, the set of variants identified by the LG method was a subset of those identified by the Probit method in two example analyses. Thus, we suggest the Probit method may be a competitive alternative to the LG method in genetic association studies such as candidate gene, genome-wide, or next generation sequencing studies for a binary phenotype. PMID:25096228

  19. The Quantitative Basis of the Arabidopsis Innate Immune System to Endemic Pathogens Depends on Pathogen Genetics.

    Directory of Open Access Journals (Sweden)

    Jason A Corwin

    2016-02-01

    Full Text Available The most established model of the eukaryotic innate immune system is derived from examples of large effect monogenic quantitative resistance to pathogens. However, many host-pathogen interactions involve many genes of small to medium effect and exhibit quantitative resistance. We used the Arabidopsis-Botrytis pathosystem to explore the quantitative genetic architecture underlying host innate immune system in a population of Arabidopsis thaliana. By infecting a diverse panel of Arabidopsis accessions with four phenotypically and genotypically distinct isolates of the fungal necrotroph B. cinerea, we identified a total of 2,982 genes associated with quantitative resistance using lesion area and 3,354 genes associated with camalexin production as measures of the interaction. Most genes were associated with resistance to a specific Botrytis isolate, which demonstrates the influence of pathogen genetic variation in analyzing host quantitative resistance. While known resistance genes, such as receptor-like kinases (RLKs and nucleotide-binding site leucine-rich repeat proteins (NLRs, were found to be enriched among associated genes, they only account for a small fraction of the total genes associated with quantitative resistance. Using publically available co-expression data, we condensed the quantitative resistance associated genes into co-expressed gene networks. GO analysis of these networks implicated several biological processes commonly connected to disease resistance, including defense hormone signaling and ROS production, as well as novel processes, such as leaf development. Validation of single gene T-DNA knockouts in a Col-0 background demonstrate a high success rate (60% when accounting for differences in environmental and Botrytis genetic variation. This study shows that the genetic architecture underlying host innate immune system is extremely complex and is likely able to sense and respond to differential virulence among pathogen

  20. Interspecific sex in grass smuts and the genetic diversity of their pheromone-receptor system.

    Directory of Open Access Journals (Sweden)

    Ronny Kellner

    2011-12-01

    Full Text Available The grass smuts comprise a speciose group of biotrophic plant parasites, so-called Ustilaginaceae, which are specifically adapted to hosts of sweet grasses, the Poaceae family. Mating takes a central role in their life cycle, as it initiates parasitism by a morphological and physiological transition from saprobic yeast cells to pathogenic filaments. As in other fungi, sexual identity is determined by specific genomic regions encoding allelic variants of a pheromone-receptor (PR system and heterodimerising transcription factors. Both operate in a biphasic mating process that starts with PR-triggered recognition, directed growth of conjugation hyphae, and plasmogamy of compatible mating partners. So far, studies on the PR system of grass smuts revealed diverse interspecific compatibility and mating type determination. However, many questions concerning the specificity and evolutionary origin of the PR system remain unanswered. Combining comparative genetics and biological approaches, we report on the specificity of the PR system and its genetic diversity in 10 species spanning about 100 million years of mating type evolution. We show that three highly syntenic PR alleles are prevalent among members of the Ustilaginaceae, favouring a triallelic determination as the plesiomorphic characteristic of this group. Furthermore, the analysis of PR loci revealed increased genetic diversity of single PR locus genes compared to genes of flanking regions. Performing interspecies sex tests, we detected a high potential for hybridisation that is directly linked to pheromone signalling as known from intraspecies sex. Although the PR system seems to be optimised for intraspecific compatibility, the observed functional plasticity of the PR system increases the potential for interspecific sex, which might allow the hybrid-based genesis of newly combined host specificities.

  1. Illuminating cancer systems with genetically engineered mouse models and coupled luciferase reporters in vivo.

    Science.gov (United States)

    Kocher, Brandon; Piwnica-Worms, David

    2013-06-01

    Bioluminescent imaging (BLI) is a powerful noninvasive tool that has dramatically accelerated the in vivo interrogation of cancer systems and longitudinal analysis of mouse models of cancer over the past decade. Various luciferase enzymes have been genetically engineered into mouse models (GEMM) of cancer, which permit investigation of cellular and molecular events associated with oncogenic transcription, posttranslational processing, protein-protein interactions, transformation, and oncogene addiction in live cells and animals. Luciferase-coupled GEMMs ultimately serve as a noninvasive, repetitive, longitudinal, and physiologic means by which cancer systems and therapeutic responses can be investigated accurately within the autochthonous context of a living animal.

  2. Optimization of wind-marine hybrid power system configuration based on genetic algorithm

    Science.gov (United States)

    Shi, Hongda; Li, Linna; Zhao, Chenyu

    2017-08-01

    Multi-energy power systems can use energy generated from various sources to improve power generation reliability. This paper presents a cost-power generation model of a wind-tide-wave energy hybrid power system for use on a remote island, where the configuration is optimized using a genetic algorithm. A mixed integer programming model is used and a novel object function, including cost and power generation, is proposed to solve the boundary problem caused by existence of two goals. Using this model, the final optimized result is found to have a good fit with local resources.

  3. Multi-heuristic dynamic task allocation using genetic algorithms in a heterogeneous distributed system.

    Science.gov (United States)

    Page, Andrew J; Keane, Thomas M; Naughton, Thomas J

    2010-07-01

    We present a multi-heuristic evolutionary task allocation algorithm to dynamically map tasks to processors in a heterogeneous distributed system. It utilizes a genetic algorithm, combined with eight common heuristics, in an effort to minimize the total execution time. It operates on batches of unmapped tasks and can preemptively remap tasks to processors. The algorithm has been implemented on a Java distributed system and evaluated with a set of six problems from the areas of bioinformatics, biomedical engineering, computer science and cryptography. Experiments using up to 150 heterogeneous processors show that the algorithm achieves better efficiency than other state-of-the-art heuristic algorithms.

  4. Optimal Conductor Selection in Radial Distribution Systems for Productivity Improvement Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Mahdi Mozaffari Legha

    2013-06-01

    Full Text Available Development of distribution systems result in higher system losses and poor voltage regulation. Consequently, an efficient and effective distribution system has become more urgent and important. Hence proper selection of conductors in the distribution system is important as it determines the current density and the resistance of the line. This paper examines the use of different evolutionary algorithms, genetic algorithm (GA, to optimal branch conductor selection in planning radial distribution systems with the objective to minimize the overall cost of annual energy losses and depreciation on the cost of conductors and reliability in order to improve productivity. Furthermore, The Backward-Forward sweep iterative method was adopted to solve the radial load flow analysis. Simulations are carried out on 69-bus radial distribution network using GA approach in order to show the accuracy as well as the efficiency of the proposed solution technique.

  5. Computational optimization for S-type biological systems: cockroach genetic algorithm.

    Science.gov (United States)

    Wu, Shinq-Jen; Wu, Cheng-Tao

    2013-10-01

    S-type biological systems (S-systems) are demonstrated to be universal approximations of continuous biological systems. S-systems are easy to be generalized to large systems. The systems are identified through data-driven identification techniques (cluster-based algorithms or computational methods). However, S-systems' identification is challenging because multiple attractors exist in such highly nonlinear systems. Moreover, in some biological systems the interactive effect cannot be neglected even the interaction order is small. Therefore, learning should be focused on increasing the gap between the true and redundant interaction. In addition, a wide searching space is necessary because no prior information is provided. The used technologies should have the ability to achieve convergence enhancement and diversity preservation. Cockroaches live in nearly all habitats and survive for more than 300 million years. In this paper, we mimic cockroaches' competitive swarm behavior and integrated it with advanced evolutionary operations. The proposed cockroach genetic algorithm (CGA) possesses strong snatching-food ability to rush forward to a target and high migration ability to escape from local minimum. CGA was tested with three small-scale systems, a twenty-state medium-scale system and a thirty-state large-scale system. A wide search space ([0,100] for rate constants and [-100,100] for kinetic orders) with random or bad initial starts are used to show the high exploration performance.

  6. Systems biology and systems genetics - novel innovative approaches to study host-pathogen interactions during influenza infection.

    Science.gov (United States)

    Kollmus, Heike; Wilk, Esther; Schughart, Klaus

    2014-06-01

    Influenza represents a serious threat to public health with thousands of deaths each year. A deeper understanding of the host-pathogen interactions is urgently needed to evaluate individual and population risks for severe influenza disease and to identify new therapeutic targets. Here, we review recent progress in large scale omics technologies, systems genetics as well as new mathematical and computational developments that are now in place to apply a systems biology approach for a comprehensive description of the multidimensional host response to influenza infection. In addition, we describe how results from experimental animal models can be translated to humans, and we discuss some of the future challenges ahead.

  7. The systems genetics resource: a web application to mine global data for complex disease traits.

    Science.gov (United States)

    van Nas, Atila; Pan, Calvin; Ingram-Drake, Leslie A; Ghazalpour, Anatole; Drake, Thomas A; Sobel, Eric M; Papp, Jeanette C; Lusis, Aldons J

    2013-01-01

    The Systems Genetics Resource (SGR) (http://systems.genetics.ucla.edu) is a new open-access web application and database that contains genotypes and clinical and intermediate phenotypes from both human and mouse studies. The mouse data include studies using crosses between specific inbred strains and studies using the Hybrid Mouse Diversity Panel. SGR is designed to assist researchers studying genes and pathways contributing to complex disease traits, including obesity, diabetes, atherosclerosis, heart failure, osteoporosis, and lipoprotein metabolism. Over the next few years, we hope to add data relevant to deafness, addiction, hepatic steatosis, toxin responses, and vascular injury. The intermediate phenotypes include expression array data for a variety of tissues and cultured cells, metabolite levels, and protein levels. Pre-computed tables of genetic loci controlling intermediate and clinical phenotypes, as well as phenotype correlations, are accessed via a user-friendly web interface. The web site includes detailed protocols for all of the studies. Data from published studies are freely available; unpublished studies have restricted access during their embargo period.

  8. Genetic risk and longitudinal disease activity in systemic lupus erythematosus using targeted maximum likelihood estimation.

    Science.gov (United States)

    Gianfrancesco, M A; Balzer, L; Taylor, K E; Trupin, L; Nititham, J; Seldin, M F; Singer, A W; Criswell, L A; Barcellos, L F

    2016-09-01

    Systemic lupus erythematous (SLE) is a chronic autoimmune disease associated with genetic and environmental risk factors. However, the extent to which genetic risk is causally associated with disease activity is unknown. We utilized longitudinal-targeted maximum likelihood estimation to estimate the causal association between a genetic risk score (GRS) comprising 41 established SLE variants and clinically important disease activity as measured by the validated Systemic Lupus Activity Questionnaire (SLAQ) in a multiethnic cohort of 942 individuals with SLE. We did not find evidence of a clinically important SLAQ score difference (>4.0) for individuals with a high GRS compared with those with a low GRS across nine time points after controlling for sex, ancestry, renal status, dialysis, disease duration, treatment, depression, smoking and education, as well as time-dependent confounding of missing visits. Individual single-nucleotide polymorphism (SNP) analyses revealed that 12 of the 41 variants were significantly associated with clinically relevant changes in SLAQ scores across time points eight and nine after controlling for multiple testing. Results based on sophisticated causal modeling of longitudinal data in a large patient cohort suggest that individual SLE risk variants may influence disease activity over time. Our findings also emphasize a role for other biological or environmental factors.

  9. Genetic Algorithm Based Simulated Annealing Method for Solving Unit Commitment Problem in Utility System

    Science.gov (United States)

    Rajan, C. Christober Asir

    2010-10-01

    The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also means that it is desirable to find the optimal generating unit commitment in the power system for the next H hours. Genetic Algorithms (GA's) are general-purpose optimization techniques based on principles inspired from the biological evolution using metaphors of mechanisms such as neural section, genetic recombination and survival of the fittest. In this, the unit commitment schedule is coded as a string of symbols. An initial population of parent solutions is generated at random. Here, each schedule is formed by committing all the units according to their initial status ("flat start"). Here the parents are obtained from a pre-defined set of solution's i.e. each and every solution is adjusted to meet the requirements. Then, a random recommitment is carried out with respect to the unit's minimum down times. And SA improves the status. A 66-bus utility power system with twelve generating units in India demonstrates the effectiveness of the proposed approach. Numerical results are shown comparing the cost solutions and computation time obtained by using the Genetic Algorithm method and other conventional methods.

  10. The Collaborative Cross at Oak Ridge National Laboratory: developing a powerful resource for systems genetics

    Energy Technology Data Exchange (ETDEWEB)

    Chesler, Elissa J [ORNL; Branstetter, Lisa R [ORNL; Churchill, Gary A [Jackson Laboratory, The, Bar Harbor, ME; Culiat, Cymbeline T [ORNL; Galloway, Leslie D [ORNL; Jackson, Barbara L [ORNL; Johnson, Dabney K [ORNL; Miller, Darla R [ORNL; Philip, Vivek M [ORNL; Threadgill, David [University of North Carolina, Chapel Hill; Voy, Brynn H [ORNL; Williams, Robert [University of Tennessee Health Science Center, Memphis; Manly, Kenneth [University of Tennessee Health Science Center, Memphis

    2008-01-01

    Complex traits and disease co-morbidity in humans and in model organisms are the result of naturally occurring polymorphisms that interact with each other and with the environment. To ensure the availability of the resources needed to investigate biomolecular networks and ultimately systems level phenotypes, we have initiated breeding of a new genetic reference population of mice, the Collaborative Cross. This population has been designed to optimally support systems genetics analysis. Its novel and important features include high levels of genetic diversity, a large population size to ensure sufficient power in high-dimensional studies, and high mapping precision through accumulation of independent recombination events. Implementation of the Collaborative Cross has been in progress at the Oak Ridge National Laboratory (ORNL) since May 2005. This is achieved through a software assisted breeding program with fully traceable lineages, performed in a uniform environment. Currently, there are 650 lines in production with almost 200 lines over seven generations of inbreeding. Retired breeders enter a high-throughput phenotyping protocol and DNA samples are banked for analysis of recombination history, allele loss, and population structure. Herein we present a progress report of the Collaborative Cross breeding program at ORNL and a description of the kinds of investigations that this resource will support.

  11. Growth performance of three pejerrey genetic groups in intensive culture system

    Directory of Open Access Journals (Sweden)

    Rafael Aldrighi Tavares

    2014-10-01

    Full Text Available This study examined the growth performance of Odontesthes bonariensis, O. humensis and hybrid (O. bonariensis X O. humensis in intensive culture system for a period of 180 days, using the body weight (W, total length (Lt, condition factor (CF, allometric coefficient (b, specific growth rate (SGR and estimates of body weight and maximum total length (Wmax, Ltmax as indicators. Fish were randomly selected from three genetic groups (Bonariensis, Humensis and Hybrid, divided into water recirculation system consisting of 12 tanks (50 L. 12 measurements of body weight and total length (0, 2, 7, 14, 21, 30, 45, 60, 75, 90, 120, 180 days were taken by means of a random sample of 10 subjects per replicate. All genetic groups grew in weight and length over the period analyzed, being influenced by the genetics of each species. O. bonariensis showed the best performance in growth and hybrid fish showed intermediate growth and estimated maximum body weight exceeding the pure species. Based on these results, it would be helpful the selective breeding and formation of domesticated strains.

  12. Genetic Optimization Algorithm of PID Decoupling Control for VAV Air-Conditioning System

    Institute of Scientific and Technical Information of China (English)

    WANG Jiangjiang; AN Dawei; ZHANG Chunfa; JING Youyin

    2009-01-01

    Variable-air-volume (VAV) air-conditioning system is a multi-variable system and has multi coupling control loops. While all of the control loops are working together, they interfere and influence each other. A multi-variable decoupling PID controller is designed for VAV air-conditioning system. Diagonal matrix decoupling method is employed to eliminate the coupling between the loop of supply air temperature and that of thermal-space air temperature. The PID controller parameters are optimized by means of an improved genetic algorithm in floating point representations to obtain better performance. The population in the improved genetic algorithm mutates before crossover, which is helpful for the convergence. Additionally the micro mutation algorithm is proposed and applied to improve the convergence during the later evolution. To search the best parameters, the optimized parameters ranges should be amplified l0 times the initial ideal parameters. The simulation and experiment results show that the decoupling control system is effective and feasible. The method can overcome the strong coupling feature of the system and has shorter governing time and less over-shoot than non-optimization PID control.

  13. Comparative genetics of the central nervous system in epigean and hypogean Astyanax mexicanus.

    Science.gov (United States)

    Strickler, Allen G; Soares, Daphne

    2011-03-01

    The extreme environment of subterranean caves presents an adaptive challenge to troglobitic organisms. The mechanisms by which natural selection modify an ancestral surface neural circuit to produce a novel subterranean behavior remain a mystery. To address this question, we performed cross species microarray experiments to compare differences in gene expression levels in the adult brain of the teleost Astyanax mexicanus. This species provides a unique opportunity for comparative genetic studies as it consists of extant epigean (surface) and hypogean (cave) conspecifics. Microarray experiments herein revealed significant changes in transcription levels of seventeen genes, several of which are important for behaviors involved in metabolic management. We focused on genes central to three neurotransmission and neuromodulation networks: the endocannabinoid system (Cannabinoid receptor CB1), the dopaminergic system (Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein) and the glutamatergic system (glutamate receptor AMPA 2a). All three genes were upregulated in the hypogean form of A. mexicanus compared to the epigean form, indicating that behavioral differences in the hypogean form of the species could be due to alterations in expression levels of several key genes. This information provides insights into the complex relationships among environmental factors, genetics, nervous systems and adaptive behavior, and can subsequently help us understand how these interactions affect behavior in other biological systems.

  14. Genetic algorithm for autonomic joint radio resource management in end-to-end reconfigurable systems

    Institute of Scientific and Technical Information of China (English)

    ZENG Xian; MA Tao; LIN Yue-wei; FENG Zhi-yong

    2008-01-01

    This article presents the genetic algorithm (GA) asan autonomic approach for the joint radio resource management(JRRM) amongst heterogeneous radio access technologies(RATs) in the end-to-end reconfigurable systems. The jointsession admission control (JOSAC) and the bandwidth allocationare combined as a specific decision made by the operations ofthe genetic algorithm with certain advisable modifications. Theproposed algorithm is triggered on the following two conditions.When a session is initiated, it is triggered for the session tocamp on the most appropriate RAT and select the most suitablebandwidth for the desired service. When a session terminates, itis also used to adjust the distribution of the ongoing sessionsthrough the handovers. This will increase the adjustmentfrequency of the JRRM controller for the best systemperformance. Simulation results indicate that the proposedautonomic JRRM scheme not only effectively reduces thehandover times, but also achieves well trade-off between thespectrum utility and the blocking probability.

  15. An integrative systems genetics approach reveals potential causal genes and pathways related to obesity

    DEFF Research Database (Denmark)

    Kogelman, Lisette; Zhernakova, Daria V.; Westra, Harm-Jan

    2015-01-01

    BACKGROUND: Obesity is a multi-factorial health problem in which genetic factors play an important role. Limited results have been obtained in single-gene studies using either genomic or transcriptomic data. RNA sequencing technology has shown its potential in gaining accurate knowledge about...... the transcriptome, and may reveal novel genes affecting complex diseases. Integration of genomic and transcriptomic variation (expression quantitative trait loci [eQTL] mapping) has identified causal variants that affect complex diseases. We integrated transcriptomic data from adipose tissue and genomic data from...... a porcine model to investigate the mechanisms involved in obesity using a systems genetics approach. METHODS: Using a selective gene expression profiling approach, we selected 36 animals based on a previously created genomic Obesity Index for RNA sequencing of subcutaneous adipose tissue. Differential...

  16. Founder effects and genetic population structure of brown trout (Salmo trutta) in a Danish river system

    DEFF Research Database (Denmark)

    Hansen, Michael Møller; Mensberg, Karen-Lise Dons

    1996-01-01

    The influence of founder effects on the genetic population structure of brown trout (Salmo trutta) was studied in a small Danish river system. Samples of trout from seven locations were analysed by allozyme electrophoresis and mitochondrial DNA restriction fragment length polymorphism analysis....... For comparison, allozyme data from other Danish trout populations and mtDNA data from two hatchery strains were included. Genetic differentiation among populations was found to be small but significant. Pairwise tests for homogeneity of allele and haplotype frequencies between samples showed that significance...... was predominantly due to a single population. In two of the locations studied, extinction-recolonization events had taken place. In one of the populations, founding had not resulted in divergence, while the other founded population was the one that had diverged significantly from the remaining populations. Computer...

  17. A genetic algorithm approach in interface and surface structure optimization

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Jian [Iowa State Univ., Ames, IA (United States)

    2010-01-01

    The thesis is divided into two parts. In the first part a global optimization method is developed for the interface and surface structures optimization. Two prototype systems are chosen to be studied. One is Si[001] symmetric tilted grain boundaries and the other is Ag/Au induced Si(111) surface. It is found that Genetic Algorithm is very efficient in finding lowest energy structures in both cases. Not only existing structures in the experiments can be reproduced, but also many new structures can be predicted using Genetic Algorithm. Thus it is shown that Genetic Algorithm is a extremely powerful tool for the material structures predictions. The second part of the thesis is devoted to the explanation of an experimental observation of thermal radiation from three-dimensional tungsten photonic crystal structures. The experimental results seems astounding and confusing, yet the theoretical models in the paper revealed the physics insight behind the phenomena and can well reproduced the experimental results.

  18. A CRISPR-Cas9 System for Genetic Engineering of Filamentous Fungi

    DEFF Research Database (Denmark)

    Nødvig, Christina Spuur; Nielsen, Jakob Blæsbjerg; Kogle, Martin Engelhard

    2015-01-01

    there is a demand for developing versatile methods that can be used to genetically manipulate non-model filamentous fungi. To facilitate this, we have developed a CRISPR-Cas9 based system adapted for use in filamentous fungi. The system is simple and versatile, as RNA guided mutagenesis can be achieved...... by transforming a target fungus with a single plasmid. The system currently contains four CRISPR- Cas9 vectors, which are equipped with commonly used fungal markers allowing for selection in a broad range of fungi. Moreover, we have developed a script that allows identification of protospacers that target gene...... used our CRISPR Cas9 system to generate a strain that contains an AACU_pyrG marker and demonstrated that the resulting strain can be used for iterative gene targeting....

  19. Optimization of Electrical System for Offshore Wind Farms via a Genetic Algorithm Approach

    DEFF Research Database (Denmark)

    Zhao, Menghua

    to very different costs, system reliability, power quality, and power losses etc. Therefore, the optimization of electrical system design for offshore wind farms becomes more and more necessary. There are two tasks in this project: 1) the first one is to construct an algorithm for finding the capacity...... of a grid-connected wind farm; 2) the second one is the optimization of electrical system for offshore wind farms (OES-OWF). The capacity of a grid connected wind farm is limited by the transfer capability of the grid system, where the thermal limit of the transmission lines, the voltage stability......, and the LTC limitation of transformers, the power generation limits and the voltage operation range are considered as the constraints. The optimization method combined with probabilistic analysis is used to obtain the capacity of a given wind farm site. The OES-OWF is approached by Genetic Algorithm (GA...

  20. A Genetic Algorithm-Based Approach for Process Scheduling In Distributed Operating Systems

    Directory of Open Access Journals (Sweden)

    2012-01-01

    Full Text Available A Distributed Computing System comprising networked heterogeneous processors requires efficient process allocation algorithms to achieve minimum turnaround time and highest possible throughput. To efficiently execute processes on a distributed system, processes must be correctly assigned to processors and determine the execution order of processes so that the overall execution time is minimized. Even when target processors are fully connected and the communication among processors is fast and no dependencies exist among processes the scheduling problem is NP-complete. Complexity of scheduling problem dependent of number of processors, process execution time and the processor network topology. As distributed systems exist in kinds of homogeneous and heterogeneous, in heterogeneous systems the difference between processors leads to different execution time for an individual process on different processors and makes scheduling problem more complex. Our proposed genetic algorithm is applicable for both homogeneous and heterogeneous kinds.

  1. A diverse array of genetic factors contribute to the pathogenesis of Systemic Lupus Erythematosus

    Directory of Open Access Journals (Sweden)

    Tiffin Nicki

    2013-01-01

    Full Text Available Abstract Systemic lupus erythematosus (SLE is a chronic systemic autoimmune disease with variable clinical presentation frequently affecting the skin, joints, haemopoietic system, kidneys, lungs and central nervous system. It can be life threatening when major organs are involved. The full pathological and genetic mechanisms of this complex disease are yet to be elucidated; although roles have been described for environmental triggers such as sunlight, drugs and chemicals, and infectious agents. Cellular processes such as inefficient clearing of apoptotic DNA fragments and generation of autoantibodies have been implicated in disease progression. A diverse array of disease-associated genes and microRNA regulatory molecules that are dysregulated through polymorphism and copy number variation have also been identified; and an effect of ethnicity on susceptibility has been described.

  2. Evolving Rule-Based Systems in two Medical Domains using Genetic Programming

    DEFF Research Database (Denmark)

    Tsakonas, A.; Dounias, G.; Jantzen, Jan;

    2004-01-01

    We demonstrate, compare and discuss the application of two genetic programming methodologies for the construction of rule-based systems in two medical domains: the diagnosis of Aphasia's subtypes and the classification of Pap-Smear Test examinations. The first approach consists of a scheme...... the classification between all common types. A third model consisting of a GP-generated fuzzy rule-based system is tested on the same field. In the classification of Pap-Smear Test examinations, a crisp rule-based system is constructed. Results denote the effectiveness of the proposed systems. Comments...... and comparisons are made between the proposed methods and previous attempts on the selected fields of application....

  3. Analysis of the Relative Sustainability of Land Devoted to Bioenergy: Comparing Land-Use Alternatives in China

    Directory of Open Access Journals (Sweden)

    Jiashun Huang

    2017-05-01

    Full Text Available When developing land to meet various human needs, conducting assessments of different alternatives regarding their sustainability is critical. Among different alternatives of land-use, devoting land to bioenergy is relatively novel, in high demand, and important for addressing the energy crisis and mitigating carbon emissions. Furthermore, the competition and disputes among limited land-use for bioenergy and the combination of food production and housing are tense. Thus, which alternative of land-use is more sustainable is an important question, yet it is still under-investigated. The main purposes of this study are to investigate the merits and problems of land-use for bioenergy and to compare the relative sustainability of land-use for bioenergy, food production, and housing based on habitants’ perceptions. Multi-criteria analysis is applied to the case study in the context of China, evaluating multiple criteria in economic, environmental, and social dimensions. Therefore, this study presents a comprehensive assessment of different scenarios of land-use designed to be implemented and some implications for optimum land-use policies.

  4. Construction and in-situ characterisation of high-temperature fixed point cells devoted to industrial applications

    Directory of Open Access Journals (Sweden)

    Sadli Mohamed

    2014-01-01

    Full Text Available Among the activities of the European Metrology Research Programme (EMRP project HiTeMS one work package is devoted to the development and testing of industrial solutions for long-standing temperature measurement problems at the highest temperatures. LNE-Cnam, NPL, TUBITAK-UME have worked on the design of high temperature fixed points (HTFP suitable for in-situ temperature monitoring to be implemented in the facilities of CEA (Commissariat à l’énergie atomique et aux énergies alternatives. Several high temperature fixed point cells were constructed in these three national metrology institutes (NMIs using a rugged version of cells based on the hybrid design of the laboratory HTFP developed and continuously improved at LNE-Cnam during the last years. The fixed points of interest were Co-C, Ru-C and Re-C corresponding to melting temperatures of 1324 °C, 1953 °C and 2474 °C respectively. The cells were characterised at the NMIs after their construction. Having proved robust enough, they were transported to CEA and tested in an induction furnace and cycled from room temperature to temperatures much above the melting temperatures (> +400 °C with extremely high heating and cooling rates (up to 10 000 K/h. All the cells withstood the tests and the melting plateaus could be observed in all cases.

  5. A new type of endo-xyloglucan transferase devoted to xyloglucan hydrolysis in the cell wall of azuki bean epicotyls.

    Science.gov (United States)

    Tabuchi, A; Mori, H; Kamisaka, S; Hoson, T

    2001-02-01

    A new type of xyloglucan-degrading enzyme was isolated from the cell wall of azuki bean (Vigna angularis Ohwi et Ohashi cv. Takara) epicotyls and its characteristics were determined. The enzyme was purified to apparent homogeneity by Concanavalin A (Con A)-Sepharose, cation exchange, and gel filtration columns from a cell wall protein fraction extracted with 1 M sodium chloride. The purified enzyme gave a single protein band of 33 kDa on SDS-PAGE. The enzyme specifically cleaved xyloglucans and showed maximum activity at pH 5.0 when assayed by the iodine-staining method. An increase in reducing power in xyloglucan solution was clearly detected after treatment with the purified enzyme. Xyloglucans with molecular masses of 500 and 25 kDa were gradually hydrolyzed to 5 kDa for 96 h without production of any oligo- or monosaccharide with the purified enzyme. The purified enzyme did not show an endo-type transglycosylation reaction, even in the presence of xyloglucan oligosaccharides. Partial amino acid sequences of the enzyme shared an identity with endo-xyloglucan transferase (EXGT) family, especially with xyloglucan endotransglycosylase (XET) from nasturtium. These results suggest that the enzyme is a new member of EXGT devoted solely to xyloglucan hydrolysis.

  6. SkinEthic Laboratories, a company devoted to develop and produce in vitro alternative methods to animal use.

    Science.gov (United States)

    de Brugerolle, Anne

    2007-01-01

    SkinEthic Laboratories is a France-based biotechnology company recognised as the world leader in tissue engineering. SkinEthic is devoted to develop and produce reliable and robust in vitro alternative methods to animal use in cosmetic, chemical and pharmaceutical industries. SkinEthic models provide relevant tools for efficacy and safety screening tests in order to support an integrated decision-making during research and development phases. Some screening tests are referenced and validated as alternatives to animal use (Episkin), others are in the process of validation under ECVAM and OECD guidelines. SkinEthic laboratories provide a unique and joined experience of more than 20 years from Episkin SNC and SkinEthic SA. Their unique cell culture process allows in vitro reconstructed human tissues with well characterized histology, functionality and ultrastructure features to be mass produced. Our product line includes skin models: a reconstructed human epidermis with a collagen layer, Episkin, reconstructed human epidermis without or with melanocytes (with a tanning degree from phototype II to VI) and a reconstructed human epithelium, i.e. cornea, and other mucosa, i.e. oral, gingival, oesophageal and vaginal. Our philosophy is based on 3 main commitments: to support our customers by providing robust and reliable models, to ensure training and education in using validated protocols, allowing a large array of raw materials, active ingredients and finished products in solid, liquid, powder, cream or gel form to be screened, and, to provide a dedicated service to our partners.

  7. DHLAS: A web-based information system for statistical genetic analysis of HLA population data.

    Science.gov (United States)

    Thriskos, P; Zintzaras, E; Germenis, A

    2007-03-01

    DHLAS (database HLA system) is a user-friendly, web-based information system for the analysis of human leukocyte antigens (HLA) data from population studies. DHLAS has been developed using JAVA and the R system, it runs on a Java Virtual Machine and its user-interface is web-based powered by the servlet engine TOMCAT. It utilizes STRUTS, a Model-View-Controller framework and uses several GNU packages to perform several of its tasks. The database engine it relies upon for fast access is MySQL, but others can be used a well. The system estimates metrics, performs statistical testing and produces graphs required for HLA population studies: (i) Hardy-Weinberg equilibrium (calculated using both asymptotic and exact tests), (ii) genetics distances (Euclidian or Nei), (iii) phylogenetic trees using the unweighted pair group method with averages and neigbor-joining method, (iv) linkage disequilibrium (pairwise and overall, including variance estimations), (v) haplotype frequencies (estimate using the expectation-maximization algorithm) and (vi) discriminant analysis. The main merit of DHLAS is the incorporation of a database, thus, the data can be stored and manipulated along with integrated genetic data analysis procedures. In addition, it has an open architecture allowing the inclusion of other functions and procedures.

  8. PID-Controller Tuning Optimization with Genetic Algorithms in Servo Systems

    Directory of Open Access Journals (Sweden)

    Arturo Y. Jaen-Cuellar

    2013-09-01

    Full Text Available Performance improvement is the main goal of the study of PID control and much research has been conducted for this purpose. The PID filter is implemented in almost all industrial processes because of its well‐ known beneficial features. In general, the whole system’s performance strongly depends on the controller’s efficiency and hence the tuning process plays a key role in the system’s behaviour. In this work, the servo systems will be analysed, specifically the positioning control systems. Among the existent tuning methods, the Gain‐ Phase Margin method based on Frequency Response analysis is the most adequate for controller tuning in positioning control systems. Nevertheless, this method can be improved by integrating an optimization technique. The novelty of this work is the development of a new methodology for PID control tuning by coupling the Gain‐Phase Margin method with the Genetic Algorithms in which the micro‐population concept and adaptive mutation probability are applied. Simulations using a positioning system model in MATLAB and experimental tests in two CNC machines and an industrial robot are carried out in order to show the effectiveness of the proposal. The obtained results are compared with both the classical Gain‐Phase Margin tuning and with a recent PID controller optimization using Genetic Algorithms based on real codification. The three methodologies are implemented using software.

  9. Hybridization, transgressive segregation and evolution of new genetic systems in Drosophila

    Indian Academy of Sciences (India)

    H. A. Ranganath; S. Aruna

    2003-12-01

    Introgressive hybridization facilitates incorporation of genes from one species into the gene pool of another. Studies on long-term effects of introgressive hybridization in animal systems are sparse. Drosophila nasuta ($2n = 8$) and D. albomicans ($2n = 6$)—a pair of allopatric, morphologically almost identical, cross-fertile members of the nasuta subgroup of the immigrans species group—constitute an excellent system to analyse the impact of hybridization followed by transgressive segregation of parental characters in the hybrid progeny. Hybrid populations of D. nasuta and D. albomicans maintained for over 500 generations in the laboratory constitute new recombinant hybrid genomes, here termed cytoraces. The impact of hybridization, followed by introgression and transgressive segregation, on chromosomal constitution and karyotypes, some fitness parameters, isozymes, components of mating behaviour and mating preference reveals a complex pattern of interracial divergence among parental species and cytoraces. This assemblage of characters in different combinations in a laboratory hybrid zone allows us to study the emergence of new genetic systems. Here, we summarize results from our ongoing studies comparing these hybrid cytoraces with the parental species, and discuss the implications of these findings for our understanding of the evolution of new genetic systems.

  10. Designing RNA-based genetic control systems for efficient production from engineered metabolic pathways.

    Science.gov (United States)

    Stevens, Jason T; Carothers, James M

    2015-02-20

    Engineered metabolic pathways can be augmented with dynamic regulatory controllers to increase production titers by minimizing toxicity and helping cells maintain homeostasis. We investigated the potential for dynamic RNA-based genetic control systems to increase production through simulation analysis of an engineered p-aminostyrene (p-AS) pathway in E. coli. To map the entire design space, we formulated 729 unique mechanistic models corresponding to all of the possible control topologies and mechanistic implementations in the system under study. Two thousand sampled simulations were performed for each of the 729 system designs to relate the potential effects of dynamic control to increases in p-AS production (total of 3 × 10(6) simulations). Our analysis indicates that dynamic control strategies employing aptazyme-regulated expression devices (aREDs) can yield >10-fold improvements over static control. We uncovered generalizable trends in successful control architectures and found that highly performing RNA-based control systems are experimentally tractable. Analyzing the metabolic control state space to predict optimal genetic control strategies promises to enhance the design of metabolic pathways.

  11. Establishment of a Genetic Transformation System and Its Application in Thermoanaerobacter tengcongensis

    Institute of Scientific and Technical Information of China (English)

    Bo Liu; Chuan Wang; Haihua Yang; Huarong Tan

    2012-01-01

    The whole-genome sequence of Thermoanaerobacter tengcongensis,an anaerobic thermophilic bacterium isolated from the Tengchong hot spring in China,was completed in 2002.However,in vivo studies on the genes of this strain have been hindered in the absence of genetic manipulation system.In order to establish such a system,the plasmid pBOL01 containing the replication origin of the T.tengcongensis chromosome and a kanamycin resistance cassette,in which kanamycin resistance gene expression was controlled by the tte1482 promoter from T.tengcongensis,was constructed and introduced into T.tengcongensis via electroporation.Subsequently,the high transformation efficiency occurred when using freshly cultured T.tengcongensis cells without electroporation treatment,suggesting that T.tengcongensis is naturally competent under appropriate growth stage.A genetic transformation system for this strain was then established based on these important components,and this system was proved to be available for studying physiological characters of T.tengcongensis in vivo by means of hisG gene disruption and complementation.

  12. II. Monographic SectionPolitics and devotion around the memory of the Passion in the Western world (Middle Ages - Modern Times

    Directory of Open Access Journals (Sweden)

    Laura Gaffuri (a cura di

    2016-06-01

    Full Text Available The seven texts in this folder invite the scholar to study the phenomena of producing and reproducing objects and places connected to the memory of the Passion in the Middle Ages and Early Modern Times. Its focus is on illustrating the fertile convergence of two approaches, one focusing on the religious sensibility, the other scrutinizing above all the uses and political meanings of the devotional processes, as Ludovic Viallet points out in his introduction by emphasizing the concepts of both “localization” and “collective imagination”. Three articles are then dedicated to representations or reproductions supporting a devotion or a spiritual pilgrimage in the late Middle Ages: Hans-Joachim Schmidt analyzes several maps and tales which made the Holy Places of Jerusalem accessible for those who couldn’t make the trip to them; Peter Kurmann shows that the Holy Sepulcher, which has been near the Constance cathedral since the tenth century, was renovated shortly after the middle of the thirteenth century to be adapted to its new role as a Eucharistic receptacle, as it was the destination of a weekly procession in which the Holy Eucharist was venerated; finally, Elsa Karsallah examines the monumental “Entombments” which appeared in France in the 1420s. Paolo Cozzo then shows that in the Early Modern Savoy Dukedom the worship of the Shroud gave rise to a system of copies brought into contact with the original and distributed in the European courts to strengthen the identity and prestige of the dynasty, as did the promotion of important Marian shrines. Furthermore, in the fifteenth century the dukes of Savoy reproduced a more “political” paradigm, that of the Sainte-Chapelle which was forged in Paris two centuries earlier: Laura Gaffuri fully revises the folder of that Savoy foundation. What does the notion of replication ultimately means? asks Catherine Vincent in the conclusion, highlighting in particular the paradox inherent to the

  13. II. Monographic SectionPolitics and devotion around the memory of the Passion in the Western world (Middle Ages - Modern Times

    Directory of Open Access Journals (Sweden)

    Laura Gaffuri (a cura di

    2016-06-01

    Full Text Available The seven texts in this folder invite the scholar to study the phenomena of producing and reproducing objects and places connected to the memory of the Passion in the Middle Ages and Early Modern Times. Its focus is on illustrating the fertile convergence of two approaches, one focusing on the religious sensibility, the other scrutinizing above all the uses and political meanings of the devotional processes, as Ludovic Viallet points out in his introduction by emphasizing the concepts of both “localization” and “collective imagination”. Three articles are then dedicated to representations or reproductions supporting a devotion or a spiritual pilgrimage in the late Middle Ages: Hans-Joachim Schmidt analyzes several maps and tales which made the Holy Places of Jerusalem accessible for those who couldn’t make the trip to them; Peter Kurmann shows that the Holy Sepulcher, which has been near the Constance cathedral since the tenth century, was renovated shortly after the middle of the thirteenth century to be adapted to its new role as a Eucharistic receptacle, as it was the destination of a weekly procession in which the Holy Eucharist was venerated; finally, Elsa Karsallah examines the monumental “Entombments” which appeared in France in the 1420s. Paolo Cozzo then shows that in the Early Modern Savoy Dukedom the worship of the Shroud gave rise to a system of copies brought into contact with the original and distributed in the European courts to strengthen the identity and prestige of the dynasty, as did the promotion of important Marian shrines. Furthermore, in the fifteenth century the dukes of Savoy reproduced a more “political” paradigm, that of the Sainte-Chapelle which was forged in Paris two centuries earlier: Laura Gaffuri fully revises the folder of that Savoy foundation. What does the notion of replication ultimately means? asks Catherine Vincent in the conclusion, highlighting in particular the paradox inherent to the

  14. Association of Systemic Lupus Erythematosus Clinical Features with European Population Genetic Substructure

    Science.gov (United States)

    Calaza, Manuel; Witte, Torsten; Papasteriades, Chryssa; Marchini, Maurizio; Migliaresi, Sergio; Kovacs, Attila; Ordi-Ros, Josep; Bijl, Marc; Santos, Maria Jose; Ruzickova, Sarka; Pullmann, Rudolf; Carreira, Patricia; Skopouli, Fotini N.; D'Alfonso, Sandra; Sebastiani, Gian Domenico; Suarez, Ana; Blanco, Francisco J.; Gomez-Reino, Juan J.; Gonzalez, Antonio

    2011-01-01

    Systemic Lupus Erythematosus (SLE) is an autoimmune disease with a very varied spectrum of clinical manifestations that could be partly determined by genetic factors. We aimed to determine the relationship between prevalence of 11 clinical features and age of disease onset with European population genetic substructure. Data from 1413 patients of European ancestry recruited in nine countries was tested for association with genotypes of top ancestry informative markers. This analysis was done with logistic regression between phenotypes and genotypes or principal components extracted from them. We used a genetic additive model and adjusted for gender and disease duration. Three clinical features showed association with ancestry informative markers: autoantibody production defined as immunologic disorder (P = 6.8×10−4), oral ulcers (P = 6.9×10−4) and photosensitivity (P = 0.002). Immunologic disorder was associated with genotypes more common in Southern European ancestries, whereas the opposite trend was observed for photosensitivity. Oral ulcers were specifically more common in patients of Spanish and Portuguese self-reported ancestry. These results should be taken into account in future research and suggest new hypotheses and possible underlying mechanisms to be investigated. A first hypothesis linking photosensitivity with variation in skin pigmentation is suggested. PMID:22194982

  15. Exploiting Gene-Expression Deconvolution to Probe the Genetics of the Immune System.

    Science.gov (United States)

    Steuerman, Yael; Gat-Viks, Irit

    2016-04-01

    Sequence variation can affect the physiological state of the immune system. Major experimental efforts targeted at understanding the genetic control of the abundance of immune cell subpopulations. However, these studies are typically focused on a limited number of immune cell types, mainly due to the use of relatively low throughput cell-sorting technologies. Here we present an algorithm that can reveal the genetic basis of inter-individual variation in the abundance of immune cell types using only gene expression and genotyping measurements as input. Our algorithm predicts the abundance of immune cell subpopulations based on the RNA levels of informative marker genes within a complex tissue, and then provides the genetic control on these predicted immune traits as output. A key feature of the approach is the integration of predictions from various sets of marker genes and refinement of these sets to avoid spurious signals. Our evaluation of both synthetic and real biological data shows the significant benefits of the new approach. Our method, VoCAL, is implemented in the freely available R package ComICS.

  16. Double genetically modified symbiotic system for improved Cu phytostabilization in legume roots.

    Science.gov (United States)

    Pérez-Palacios, Patricia; Romero-Aguilar, Asunción; Delgadillo, Julián; Doukkali, Bouchra; Caviedes, Miguel A; Rodríguez-Llorente, Ignacio D; Pajuelo, Eloísa

    2017-06-01

    Excess copper (Cu) in soils has deleterious effects on plant growth and can pose a risk to human health. In the last decade, legume-rhizobium symbioses became attractive biotechnological tools for metal phytostabilization. For this technique being useful, metal-tolerant symbionts are required, which can be generated through genetic manipulation.In this work, a double symbiotic system was engineered for Cu phytostabilization: On the one hand, composite Medicago truncatula plants expressing the metallothionein gene mt4a from Arabidopsis thaliana in roots were obtained to improve plant Cu tolerance. On the other hand, a genetically modified Ensifer medicae strain, expressing copper resistance genes copAB from Pseudomonas fluorescens driven by a nodulation promoter, nifHp, was used for plant inoculation. Our results indicated that expression of mt4a in composite plants ameliorated plant growth and nodulation and enhanced Cu tolerance. Lower levels of ROS-scavenging enzymes and of thiobarbituric acid reactive substances (TBARS), such as malondialdehyde (a marker of lipid peroxidation), suggested reduced oxidative stress. Furthermore, inoculation with the genetically modified Ensifer further improved root Cu accumulation without altering metal loading to shoots, leading to diminished values of metal translocation from roots to shoots. The double modified partnership is proposed as a suitable tool for Cu rhizo-phytostabilization.

  17. Genetic variability and selection for laticiferous system characters in Hevea brasiliensis

    Directory of Open Access Journals (Sweden)

    Paulo de Souza Gonçalves

    2005-09-01

    Full Text Available Six laticiferous system characters were investigated in 22 three-year-old, half-sib rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss. Muell.-Arg.] progenies, evaluated at three sites (Votuporanga, Pindorama and Jaú, all in the São Paulo State, Brazil. The traits examined were: average rubber yield (Pp, average bark thickness (Bt, number of latex vessel rings (Lv, average distance between consecutive latex vessel rings (Dc, density of latex vessels per 5 mm per ring averaged over all rings (Dd and the diameter of the latex vessels (Di. The joint analysis showed that site effect and progeny x sites interaction were significant for all traits, except Lv. Estimates of individual heritabilities across the three sites were high for Bt; moderate for Lv, Pp and Dc; low for Dd and very low for Di. Genetic correlations in the joint analysis showed high positive correlations between Pp and the other traits. Selecting the best five progenies would result in genetic gains of 24.91% for Pp while selecting best two plants within a progeny would result in a Pp genetic gain of 30.98%.

  18. Genetic Analysis of the Chlamydomonas Reinhardtii I-Crei Mobile Intron Homing System in Escherichia Coli

    Science.gov (United States)

    Seligman, L. M.; Stephens, K. M.; Savage, J. H.; Monnat-Jr., R. J.

    1997-01-01

    We have developed and used a genetic selection system in Escherichia coli to study functional requirements for homing site recognition and cleavage by a representative eukaryotic mobile intron endonuclease. The homing endonuclease, I-CreI, was originally isolated from the chloroplast of the unicellular green alga Chlamydomonas reinhardtii. I-CreI homing site mutants contained base pair substitutions or single base deletions that altered the rate of homing site cleavage and/or product release. I-CreI endonuclease mutants fell into six phenotypic classes that differed in in vivo activity, toxicity or genetic dominance. Inactivating mutations clustered in the N-terminal 60% of the I-CreI amino acid sequence, and two frameshift mutations were isolated that resulted in premature translation termination though retained partial activity. These mutations indicate that the N-terminal two-thirds of the I-CreI endonuclease is sufficient for homing site recognition and cleavage. Substitution mutations altered in four potential active site residues were examined: D20N, Q47H or R70A substitutions inactivated endonuclease activity, whereas S22A did not. The genetic approach we have taken complements phylogenetic and structural studies of mobile intron endonucleases and has provided new information on the mechanistic basis of I-CreI homing site recognition and cleavage. PMID:9409828

  19. Genetic Algorithm Based Control System Design of a Self-Excited Induction Generator

    Directory of Open Access Journals (Sweden)

    A.-F. Attia

    2006-01-01

    Full Text Available This paper presents an application of the genetic algorithm (GA for optimizing controller gains of the Self-Excited Induction Generator (SEIG driven by the Wind Energy Conversion Scheme (WECS. The proposed genetic algorithm is introduced to adapt the integral gains of the conventional controllers of the active and reactive control loop of the system under study, where GA calculates the optimum value for the gains of the variables based on the best dynamic performance and a domain search of the integral gains. The proposed genetic algorithm is used to regulate the terminal voltage or reactive power control, by adjusting the self excitation, and to control the mechanical input power or active power control by adapting the blade angle of WECS, in order to adjust the stator frequency. The GA is used for optimizing these gains, for an active and reactive power loop, by solving the related optimization problem. The simulation results show a better dynamic performance using the GA than using the conventional PI controller for active and reactive control.

  20. Males and Females Contribute Unequally to Offspring Genetic Diversity in the Polygynandrous Mating System of Wild Boar

    Science.gov (United States)

    Pérez-González, Javier; Costa, Vânia; Santos, Pedro; Slate, Jon; Carranza, Juan; Fernández-Llario, Pedro; Zsolnai, Attila; Monteiro, Nuno M.; Anton, István; Buzgó, József; Varga, Gyula; Beja-Pereira, Albano

    2014-01-01

    The maintenance of genetic diversity across generations depends on both the number of reproducing males and females. Variance in reproductive success, multiple paternity and litter size can all affect the relative contributions of male and female parents to genetic variation of progeny. The mating system of the wild boar (Sus scrofa) has been described as polygynous, although evidence of multiple paternity in litters has been found. Using 14 microsatellite markers, we evaluated the contribution of males and females to genetic variation in the next generation in independent wild boar populations from the Iberian Peninsula and Hungary. Genetic contributions of males and females were obtained by distinguishing the paternal and maternal genetic component inherited by the progeny. We found that the paternally inherited genetic component of progeny was more diverse than the maternally inherited component. Simulations showed that this finding might be due to a sampling bias. However, after controlling for the bias by fitting both the genetic diversity in the adult population and the number of reproductive individuals in the models, paternally inherited genotypes remained more diverse than those inherited maternally. Our results suggest new insights into how promiscuous mating systems can help maintain genetic variation. PMID:25541986

  1. Males and females contribute unequally to offspring genetic diversity in the polygynandrous mating system of wild boar.

    Directory of Open Access Journals (Sweden)

    Javier Pérez-González

    Full Text Available The maintenance of genetic diversity across generations depends on both the number of reproducing males and females. Variance in reproductive success, multiple paternity and litter size can all affect the relative contributions of male and female parents to genetic variation of progeny. The mating system of the wild boar (Sus scrofa has been described as polygynous, although evidence of multiple paternity in litters has been found. Using 14 microsatellite markers, we evaluated the contribution of males and females to genetic variation in the next generation in independent wild boar populations from the Iberian Peninsula and Hungary. Genetic contributions of males and females were obtained by distinguishing the paternal and maternal genetic component inherited by the progeny. We found that the paternally inherited genetic component of progeny was more diverse than the maternally inherited component. Simulations showed that this finding might be due to a sampling bias. However, after controlling for the bias by fitting both the genetic diversity in the adult population and the number of reproductive individuals in the models, paternally inherited genotypes remained more diverse than those inherited maternally. Our results suggest new insights into how promiscuous mating systems can help maintain genetic variation.

  2. Probing the input-output behavior of biochemical and genetic systems system identification methods from control theory.

    Science.gov (United States)

    Ang, Jordan; Ingalls, Brian; McMillen, David

    2011-01-01

    A key aspect of the behavior of any system is the timescale on which it operates: when inputs change, do responses take milliseconds, seconds, minutes, hours, days, months? Does the system respond preferentially to inputs at certain timescales? These questions are well addressed by the methods of frequency response analysis. In this review, we introduce these methods and outline a procedure for applying this analysis directly to experimental data. This procedure, known as system identification, is a well-established tool in engineering systems and control theory and allows the construction of a predictive dynamic model of a biological system in the absence of any mechanistic details. When studying biochemical and genetic systems, the required experiments are not standard laboratory practice, but with advances in both our ability to measure system outputs (e.g., using fluorescent reporters) and our ability to generate precise inputs (with microfluidic chambers capable of changing cells' environments rapidly and under fine control), these frequency response methods are now experimentally practical for a wide range of biological systems, as evidenced by a number of successful recent applications of these techniques. We use a yeast G-protein signaling cascade as a running example, illustrating both theoretical concepts and practical considerations while keeping mathematical details to a minimum. The review aims to provide the reader with the tools required to design frequency response experiments for their own biological system and the background required to analyze and interpret the resulting data.

  3. Optimization of cascade hydropower system operation by genetic algorithm to maximize clean energy output

    Directory of Open Access Journals (Sweden)

    Aida Tayebiyan

    2016-06-01

    Full Text Available Background: Several reservoir systems have been constructed for hydropower generation around the world. Hydropower offers an economical source of electricity with reduce carbon emissions. Therefore, it is such a clean and renewable source of energy. Reservoirs that generate hydropower are typically operated with the goal of maximizing energy revenue. Yet, reservoir systems are inefficiently operated and manage according to policies determined at the construction time. It is worth noting that with little enhancement in operation of reservoir system, there could be an increase in efficiency of the scheme for many consumers. Methods: This research develops simulation-optimization models that reflect discrete hedging policy (DHP to manage and operate hydropower reservoir system and analyse it in both single and multireservoir system. Accordingly, three operational models (2 single reservoir systems and 1 multi-reservoir system were constructed and optimized by genetic algorithm (GA. Maximizing the total power generation in horizontal time is chosen as an objective function in order to improve the functional efficiency in hydropower production with consideration to operational and physical limitations. The constructed models, which is a cascade hydropower reservoirs system have been tested and evaluated in the Cameron Highland and Batang Padang in Malaysia. Results: According to the given results, usage of DHP for hydropower reservoir system operation could increase the power generation output to nearly 13% in the studied reservoir system compared to present operating policy (TNB operation. This substantial increase in power production will enhance economic development. Moreover, the given results of single and multi-reservoir systems affirmed that hedging policy could manage the single system much better than operation of the multi-reservoir system. Conclusion: It can be summarized that DHP is an efficient and feasible policy, which could be used

  4. Genetic patterns in European geometrid moths revealed by the Barcode Index Number (BIN system.

    Directory of Open Access Journals (Sweden)

    Axel Hausmann

    Full Text Available BACKGROUND: The geometrid moths of Europe are one of the best investigated insect groups in traditional taxonomy making them an ideal model group to test the accuracy of the Barcode Index Number (BIN system of BOLD (Barcode of Life Datasystems, a method that supports automated, rapid species delineation and identification. METHODOLOGY/PRINCIPAL FINDINGS: This study provides a DNA barcode library for 219 of the 249 European geometrid moth species (88% in five selected subfamilies. The data set includes COI sequences for 2130 specimens. Most species (93% were found to possess diagnostic barcode sequences at the European level while only three species pairs (3% were genetically indistinguishable in areas of sympatry. As a consequence, 97% of the European species we examined were unequivocally discriminated by barcodes within their natural areas of distribution. We found a 1:1 correspondence between BINs and traditionally recognized species for 67% of these species. Another 17% of the species (15 pairs, three triads shared BINs, while specimens from the remaining species (18% were divided among two or more BINs. Five of these species are mixtures, both sharing and splitting BINs. For 82% of the species with two or more BINs, the genetic splits involved allopatric populations, many of which have previously been hypothesized to represent distinct species or subspecies. CONCLUSIONS/SIGNIFICANCE: This study confirms the effectiveness of DNA barcoding as a tool for species identification and illustrates the potential of the BIN system to characterize formal genetic units independently of an existing classification. This suggests the system can be used to efficiently assess the biodiversity of large, poorly known assemblages of organisms. For the moths examined in this study, cases of discordance between traditionally recognized species and BINs arose from several causes including overlooked species, synonymy, and cases where DNA barcodes revealed

  5. Infrared image processing devoted to thermal non-contact characterization-Applications to Non-Destructive Evaluation, Microfluidics and 2D source term distribution for multispectral tomography

    Science.gov (United States)

    Batsale, Jean-Christophe; Pradere, Christophe

    2015-11-01

    The cost of IR cameras is more and more decreasing. Beyond the preliminary calibration step and the global instrumentation, the infrared image processing is then one of the key step for achieving in very broad domains. Generally the IR images are coming from the transient temperature field related to the emission of a black surface in response to an external or internal heating (active IR thermography). The first applications were devoted to the so called thermal Non-Destructive Evaluation methods by considering a thin sample and 1D transient heat diffusion through the sample (transverse diffusion). With simplified assumptions related to the transverse diffusion, the in-plane diffusion and transport phenomena can be also considered. A general equation can be applied in order to balance the heat transfer at the pixel scale or between groups of pixels in order to estimate several fields of thermophysical properties (heterogeneous field of in-plane diffusivity, flow distributions, source terms). There is a lot of possible strategies to process the space and time distributed big amount of data (previous integral transformation of the images, compression, elimination of the non useful areas...), generally based on the necessity to analyse the derivative versus space and time of the temperature field. Several illustrative examples related to the Non-Destructive Evaluation of heterogeneous solids, the thermal characterization of chemical reactions in microfluidic channels and the design of systems for multispectral tomography, will be presented.

  6. Optimization of Inter Cellular Movement of Parts in Cellular Manufacturing System Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Siva Prasad Darla

    2014-01-01

    Full Text Available In the modern manufacturing environment, Cellular Manufacturing Systems (CMS have gained greater importance in job shop or batch-type production to gain economic advantage similar to those of mass production. Successful implementation of CMS highly depends on the determination of part families; machine cells and minimizing inter cellular movement. This study considers machine component grouping problems namely inter-cellular movement and cell load variation by developing a mathematical model and optimizing the solution using Genetic Algorithm to arrive at a cell formation to minimize the inter-cellular movement and cell load variation. The results are presented with a numerical example.

  7. Modeling and Optimization for Heat Exchanger Networks Synthesis Based on Expert System and Genetic Algorithm

    Institute of Scientific and Technical Information of China (English)

    LIZhihong

    2002-01-01

    A new superstructure from of heat exchanger networks(HEN) is proposed based on expert system (ES). The new superstructure from is combined with the practical engineering.The different investment cost formula for different heat exchanger is also presented based on ES.The mathematical model for the simultaneous optimization of network configuration is established and solved by a genetic algorithm.This method can deal with larger scale HEN synthesis and the optimal HEN configuration is obtained automatically.Finally,a case study is presented to demonstrate the effectiveness of the method.

  8. Similar genetic switch systems might integrate the floral inductive pathways in dicots and monocots

    DEFF Research Database (Denmark)

    Andersen, C.H.; Jensen, C.S.; Petersen, K.

    2004-01-01

    A recent paper by Million Tadege et A shows that a SOC1-like gene from rice, OsSOC1, can complement the Arabidopsis soc1 mutant, and that ectopic expression of the Arabidopsis floral repressor FLC in rice delays flowering and up-regulation of OsSOC1 These findings, together with the identificatio...... of the wheat vernalization VRN1 locus as an AP1 homologue, suggest that related genetic switch systems control floral transition in dicots and monocots but that they are based on different MADS-box transcription factors....

  9. Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system

    Energy Technology Data Exchange (ETDEWEB)

    Larbes, C.; Ait Cheikh, S.M.; Obeidi, T.; Zerguerras, A. [Laboratoire des Dispositifs de Communication et de Conversion Photovoltaique, Departement d' Electronique, Ecole Nationale Polytechnique, 10, Avenue Hassen Badi, El Harrach, Alger 16200 (Algeria)

    2009-10-15

    This paper presents an intelligent control method for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and irradiance conditions. First, for the purpose of comparison and because of its proven and good performances, the perturbation and observation (P and O) technique is briefly introduced. A fuzzy logic controller based MPPT (FLC) is then proposed which has shown better performances compared to the P and O MPPT based approach. The proposed FLC has been also improved using genetic algorithms (GA) for optimisation. Different development stages are presented and the optimized fuzzy logic MPPT controller (OFLC) is then simulated and evaluated, which has shown better performances. (author)

  10. Genetic variation in the Renin-Angiotensin system and progression of diabetic nephropathy

    DEFF Research Database (Denmark)

    Jacobsen, Peter; Tarnow, Lise; Carstensen, Bendix

    2003-01-01

    patients (n = 169) who had established diabetic nephropathy and were treated with angiotensin-converting enzyme inhibition (ACE-I) were identified consecutively at Steno Diabetes Center. Patients were followed for a median of 6 yr (range, 3 to 15 yr), with nine (range, three to 29) measurements of GFR ((51...... independently accelerated progression of DN during ACE-I. Interaction between polymorphisms in the renin-angiotensin system also influenced the loss of kidney function. This new genetic interaction model needs to be confirmed in future studies....

  11. Optimization and Sizing for Propulsion System of Liquid Rocket Using Genetic Algorithm

    Institute of Scientific and Technical Information of China (English)

    Saqlain Akhtar; He Lin-shu

    2007-01-01

    Flight vehicle conceptual design appears to be a promising area for application of the Genetic Algorithm (GA) as an approach to help to automate part of the design process. This computational research effort strives to develop a propulsion system design strategy for liquid rocket to optimize take-off mass, satisfying the mission range under the constraint of axial overload. The method by which this process is accomplished by using GA as optimizer is outlined in this paper. Convergence of GA is improved by introducing initial population based on Design of Experiments Technique.

  12. Design of robust stability augmentation system for an airship using genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    OUYANG Jin; QU Wei-dong; XI Yu-geng

    2005-01-01

    This paper presents the design of stability augmentation system (SAS) for the airship, which is robust with respect to parametric plant uncertainties. A robust pole placement approach is adopted in the design,which uses genetic algorithm (GA) as the optimization tool to derive the most robust solution of the state-feedback gain matrix K. The method can guarantee the resulting closed-loop poles to remain in a specified allocation region despite plant parameter uncertainty. Thus, the longitudinal stability of the airship is augmented by robustly assigning the closed-loop poles in a prescribed region of the left half s-plane.

  13. Optimization of Feedback Controller in Restructured Power System Using Evolutionary Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    S.Farook,

    2011-05-01

    Full Text Available In this paper an attempt is made to optimize the feedback controller to improve the dynamics of a restructured multiarea power system using Evolutionary Real coded Genetic Algorithm (RCGA.Optimization using state variables is a difficult task as the access to all variables is limited and also measuring all of them is impossible. To solve the problem Evolutionary Genetic algorithms wereproposed to optimize the feedback gains of the controller, having access to few of the AGC variables. The feasibility and robustness of the algorithm is investigated on a two area interconnected power system consisting of two identical thermal plants in each areas in restructured environment. The dynamics of frequency deviations and tie-line power deviations were investigated by considering a demand of 0.1pu MW contracted by GENCOs in each area of the restructured power system. The results obtained by the proposed method are found to be quite encouraging when compared with those achieved using optimal controllers derived using Linear Quadratic Regulator (LQR theory.

  14. Optimization design of satellite separation systems based on Multi-Island Genetic Algorithm

    Science.gov (United States)

    Hu, Xingzhi; Chen, Xiaoqian; Zhao, Yong; Yao, Wen

    2014-03-01

    The separation systems are crucial for the launch of satellites. With respect to the existing design issues of satellite separation systems, an optimization design approach based on Multi-Island Genetic Algorithm is proposed, and a hierarchical optimization of system mass and separation angular velocity is designed. Multi-Island Genetic Algorithm is studied for the problem and the optimization parameters are discussed. Dynamic analysis of ADAMS used to validate the designs is integrated with iSIGHT. Then the optimization method is employed for a typical problem using the helical compression spring mechanism, and the corresponding objective functions are derived. It turns out that the mass of compression spring catapult is decreased by 30.7% after optimization and the angular velocity can be minimized considering spring stiffness errors. Moreover, ground tests and on-orbit flight indicate that the error of separation speed is controlled within 1% and the angular velocity is reduced by nearly 90%, which proves the design result and the optimization approach.

  15. An Approach to Derive Parametric L-System Using Genetic Algorithm

    Science.gov (United States)

    Farooq, Humera; Zakaria, M. Nordin; Hassan, Mohd. Fadzil; Sulaiman, Suziah

    In computer graphics, L-System is widely used to model artificial plants structures and fractals. The Genetic Algorithm (GA) is the most popular form of Evolutionary Algorithms. This paper examines a method for automatic plant modeling which is based on an integration of GA and Parametric L-System using appropriate fitness function. The approach is specifically based on the implementation of two layered GA to derive the rewriting rules of Parametric L-System. The higher level of GA deals with the evolution of symbols and lower level deals with the evolution of numerical parameters. Initial results derived from the approach are very promising, which shows that complicated branching structures can be easily derived by the multilayered architecture of GA.

  16. [Molecular genetics of familial tumour syndromes of the central nervous system].

    Science.gov (United States)

    Murnyák, Balázs; Szepesi, Rita; Hortobágyi, Tibor

    2015-02-01

    Although most of the central nervous system tumours are sporadic, rarely they are associated with familial tumour syndromes. These disorders usually present with an autosomal dominant inheritance and neoplasia develops at younger age than in sporadic cases. Most of these tumours are bilateral, multiplex or multifocal. The causative mutations occur in genes involved in cell cycle regulation, cell growth, differentiation and DNA repair. Studying these hereditary cancer predisposition syndromes associated with nervous system tumours can facilitate the deeper understanding of the molecular background of sporadic tumours and the development of novel therapeutic agents. This review is an update on hereditary tumour syndromes with nervous system involvement with emphasis on molecular genetic characteristics and their clinical implications.

  17. How can we harness quantitative genetic variation in crop root systems for agricultural improvement?

    Institute of Scientific and Technical Information of China (English)

    Christopher N. Topp; Adam L. Bray

    2016-01-01

    Root systems are a black box obscuring a comprehensive understanding of plant function, from the ecosystem scale down to the individual. In particular, a lack of knowledge about the genetic mechanisms and environmental effects that condition root system growth hinders our ability to develop the next generation of crop plants for improved agricultural productivity and sustainability. We discuss how the methods and metrics we use to quantify root systems can affect our ability to understand them, how we can bridge knowledge gaps and accelerate the derivation of structure-function relationships for roots, and why a detailed mecha-nistic understanding of root growth and function will be important for future agricultural gains.

  18. Service restoration in distribution system using non-dominated sorting genetic algorithm

    Energy Technology Data Exchange (ETDEWEB)

    Kumar, Yogendra; Das, Biswarup; Sharma, Jaydev [Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667 (India)

    2006-06-15

    In this paper, a non-dominated sorting genetic algorithm-II (NSGA-II) based approach is presented for service restoration in power distribution systems. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors required for conversion of multi-objective function into an equivalent single objective function. Based on the simulation studies carried out in four different systems, the performance of the proposed scheme has been found to be better than the performance of conventional GA technique based approaches. Moreover, by including the string representing the pre-fault configuration of the distribution system in the initial population, the speed of convergence is enhanced significantly. (author)

  19. Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Myeong Jin Ko

    2015-04-01

    Full Text Available To secure a stable energy supply and bring renewable energy to buildings within a reasonable cost range, a hybrid energy system (HES that integrates both fossil fuel energy systems (FFESs and new and renewable energy systems (NRESs needs to be designed and applied. This paper presents a methodology to optimize a HES consisting of three types of NRESs and six types of FFESs while simultaneously minimizing life cycle cost (LCC, maximizing penetration of renewable energy and minimizing annual greenhouse gas (GHG emissions. An elitist non-dominated sorting genetic algorithm is utilized for multi-objective optimization. As an example, we have designed the optimal configuration and sizing for a HES in an elementary school. The evolution of Pareto-optimal solutions according to the variation in the economic, technical and environmental objective functions through generations is discussed. The pair wise trade-offs among the three objectives are also examined.

  20. Inference of biological S-system using the separable estimation method and the genetic algorithm.

    Science.gov (United States)

    Liu, Li-Zhi; Wu, Fang-Xiang; Zhang, W J

    2012-01-01

    Reconstruction of a biological system from its experimental time series data is a challenging task in systems biology. The S-system which consists of a group of nonlinear ordinary differential equations (ODEs) is an effective model to characterize molecular biological systems and analyze the system dynamics. However, inference of S-systems without the knowledge of system structure is not a trivial task due to its nonlinearity and complexity. In this paper, a pruning separable parameter estimation algorithm (PSPEA) is proposed for inferring S-systems. This novel algorithm combines the separable parameter estimation method (SPEM) and a pruning strategy, which includes adding an l₁ regularization term to the objective function and pruning the solution with a threshold value. Then, this algorithm is combined with the continuous genetic algorithm (CGA) to form a hybrid algorithm that owns the properties of these two combined algorithms. The performance of the pruning strategy in the proposed algorithm is evaluated from two aspects: the parameter estimation error and structure identification accuracy. The results show that the proposed algorithm with the pruning strategy has much lower estimation error and much higher identification accuracy than the existing method.

  1. Behaviour of metalaxyl as copper oxychloride-metalaxyl commercial formulation vs. technical grade-metalaxyl in vineyards-devoted soils.

    Science.gov (United States)

    Pose-Juan, E; Rial-Otero, R; Paradelo, M; Simal-Gándara, J; Arias, M; López-Periago, J E

    2010-02-15

    The objective of this work is to asses the sorption of metalaxyl applied as a copper oxychloride (CO)-metalaxyl formulation, for a set of selected soils devoted to vineyards. The method involved batch incubation of soils suspended with a commercial copper oxychloride-metalaxyl-based fungicide in 0.01M CaCl(2). Afterwards, the metalaxyl concentration remaining in solution was determined by high-performance liquid chromatography (HPLC). The amount of dissolved metalaxyl in the fungicide suspension depends mainly on the soil pH, its potential acidity, and the cation exchange capacity. Of the approx. 20% metalaxyl retained by the solid colloids, the effect of organic matter colloids in soils (15-20 mg kg(-1)) had a poor contribution (six times lower) than the copper oxychloride colloids (40%, w/w) in the commercial fungicide formulation (100-130 mg kg(-1)). When comparing these retention data with the behaviour of metalaxyl used as a technical grade fungicide of about 100% purity (10-15 mg kg(-1) in solids), it is clear that the commercial formulation increases a 30% retention of metalaxyl by soil (15-20 mg kg(-1) in solids). The overall effect of the metalaxyl formulation plus soil show values of 10 times higher retention than technical grade-metalaxyl plus soil. Commercial formulation can decrease the mobility of soluble metalaxyl in agricultural soils with regard to the expected values obtained from batch studies using analytical grade-metalaxyl. Therefore, the effect of surfactants should be considered in the assessment of water contamination by the pesticides used in agriculture.

  2. Performing the renaissance body and mind: somaesthetic style and devotional practice at the Sacro Monte di Varallo

    Directory of Open Access Journals (Sweden)

    Allie Terry-Fritsch

    2015-02-01

    Full Text Available This essay examines the somaesthetic experience of renaissance pilgrims to the Sacro Monte di Varallo, a late fifteenthcentury simulation of the Holy Land located in northern Italy. It reconstructs how pilgrims once cultivated their bodies and minds to enhance aesthetic and devotional experience to offer a re-evaluation of artistic style at the site. Built by a team of architects, painters and sculptors at the behest of Franciscan friars, the Sacro Monte di Varallo transformed the mountainous terrain of the Val Sesia into a ‘true representation’ of Bethlehem and Jerusalem. The Holy Land was presented to the pilgrim in a series of interactive spaces housed in independent architectural units, each containing life-sized wooden or terracotta sculptures of Biblical figures adorned with real hair, clothes and shoes, and situated in frescoed narratival environments. Pilgrims were led to each architectural site along a fixed path and encountered the Biblical scenes in a strict sequence that was narrated by a Franciscan friar. If the pilgrim engaged in proper performances of body-mindfulness, the site served as a pilgrimage destination that was equally enriching as ‘the real thing’. The essay questions how the somaesthetics of experience at Varallo served to enfold pilgrims into multi-sensory, immersive scenarios and thereby allowed pilgrims to activate the art and architecture of the Franciscan campus in personalised ways. Through their physical and mental participation in the works, pilgrims actively constructed the means for the art and architecture of the holy mountain to fulfil and even surpass the power of the real Holy Land.

  3. THE SIGNIFICANT VALUATION INCLUDING NON-LINEAL ASPECTS IN THE “BUILDING –SOILED ARRAY” SYSTEM WITH ITS STRAIN-STRESS STATE DEFINITION

    Directory of Open Access Journals (Sweden)

    H. Ye. Huslysta

    2011-01-01

    Full Text Available The article is devoted to consideration of soil and reinforced concrete physical nonlinearity, structural nonlinearity and genetic nonlinearity at numerical simulation of system «structure–soil massif» by using the structural engineering analysis software LIRA.

  4. Felling-system and regeneration of pine forests on ecological-genetic-geographical basis

    Directory of Open Access Journals (Sweden)

    S. N. Sannikov

    2015-12-01

    Full Text Available A conception of the adaptation of Scots pine populations to the natural regeneration on open sites with the mosaic retained stand and mineralized soil surface on the basis of the ecological-genetic-geographical investigations in the forests of the Russia and the theory of petropsammofitness-pyrofitness (Sannikov S. N., 1983 has been substantiated. The methods of clear cuts with the seeding from surrounding forest, seed curtains and sufficiently extent of the substrate preparation for the pine selfsown have been selected and elaborated as a main organization principle of the system «felling-regeneration» in the plains pine forests of the forest zone. High regeneration efficiency of this system with the application of original aggregate for the optimal mineralization of the soil substrate (with its synchronous loosing has been shown on the example of dominating pine forest types in the subzone for-forest-steppe of the Western Siberia. The silvicultural-ecological and reproductive-genetic advantages of retaining seed curtains instead of separate seed trees have been substantiated. The basic parameters of the system «felling-regeneration», which guarantee a sufficient success of the following pine regeneration in the for-forest-steppe subzone, have been determined with the help of the methods of the mathematical imitation modeling of the pine selfsown density depending on the area and localization of seed curtains, surrounding forest and the extent of the substrate mineralization. The zonal differentiated system of the fellings and measures for the regeneration optimization in the climatically substituting pine forest types in the Western Siberia has been elaborated according to the parameters, studied earlier, on the ecological-genetic-geographical basis. The principles of this system in forest zone come to the clear strip-fellings with insemination of cuts from the seed curtains and forest walls, and to the hollow-fellings with the

  5. Multi-objective Genetic Algorithm for System Identification and Controller Optimization of Automated Guided Vehicle

    Directory of Open Access Journals (Sweden)

    Xing Wu

    2011-07-01

    Full Text Available This paper presents a multi-objective genetic algorithm (MOGA with Pareto optimality and elitist tactics for the control system design of automated guided vehicle (AGV. The MOGA is used to identify AGV driving system model and optimize its servo control system sequentially. In system identification, the model identified by least square method is adopted as an evolution tutor who selects the individuals having balanced performances in all objectives as elitists. In controller optimization, the velocity regulating capability required by AGV path tracking is employed as decision-making preferences which select Pareto optimal solutions as elitists. According to different objectives and elitist tactics, several sub-populations are constructed and they evolve concurrently by using independent reproduction, neighborhood mutation and heuristic crossover. The lossless finite precision method and the multi-objective normalized increment distance are proposed to keep the population diversity with a low computational complexity. Experiment results show that the cascaded MOGA have the capability to make the system model consistent with AGV driving system both in amplitude and phase, and to make its servo control system satisfy the requirements on dynamic performance and steady-state accuracy in AGV path tracking.

  6. Workable male sterility systems for hybrid rice: Genetics, biochemistry, molecular biology, and utilization.

    Science.gov (United States)

    Huang, Jian-Zhong; E, Zhi-Guo; Zhang, Hua-Li; Shu, Qing-Yao

    2014-12-01

    The exploitation of male sterility systems has enabled the commercialization of heterosis in rice, with greatly increased yield and total production of this major staple food crop. Hybrid rice, which was adopted in the 1970s, now covers nearly 13.6 million hectares each year in China alone. Various types of cytoplasmic male sterility (CMS) and environment-conditioned genic male sterility (EGMS) systems have been applied in hybrid rice production. In this paper, recent advances in genetics, biochemistry, and molecular biology are reviewed with an emphasis on major male sterility systems in rice: five CMS systems, i.e., BT-, HL-, WA-, LD- and CW- CMS, and two EGMS systems, i.e., photoperiod- and temperature-sensitive genic male sterility (P/TGMS). The interaction of chimeric mitochondrial genes with nuclear genes causes CMS, which may be restored by restorer of fertility (Rf) genes. The PGMS, on the other hand, is conditioned by a non-coding RNA gene. A survey of the various CMS and EGMS lines used in hybrid rice production over the past three decades shows that the two-line system utilizing EGMS lines is playing a steadily larger role and TGMS lines predominate the current two-line system for hybrid rice production. The findings and experience gained during development and application of, and research on male sterility in rice not only advanced our understanding but also shed light on applications to other crops.

  7. Genetic and biochemical markers in patients with Alzheimer's disease support a concerted systemic iron homeostasis dysregulation.

    Science.gov (United States)

    Crespo, Ângela C; Silva, Bruno; Marques, Liliana; Marcelino, Erica; Maruta, Carolina; Costa, Sónia; Timóteo, Angela; Vilares, Arminda; Couto, Frederico Simões; Faustino, Paula; Correia, Ana Paula; Verdelho, Ana; Porto, Graça; Guerreiro, Manuela; Herrero, Ana; Costa, Cristina; de Mendonça, Alexandre; Costa, Luciana; Martins, Madalena

    2014-04-01

    Alzheimer's disease (AD) is the most common form of dementia in the elderly individuals, resulting from a complex interaction between environmental and genetic factors. Impaired brain iron homeostasis has been recognized as an important mechanism underlying the pathogenesis of this disease. Nevertheless, the knowledge gathered so far at the systemic level is clearly insufficient. Herein, we used an integrative approach to study iron metabolism in the periphery, at both genotypic and phenotypic levels, in a sample of 116 patients with AD and 89 healthy control subjects. To assess the potential impact of iron metabolism on the risk of developing AD, genetic analyses were performed along with the evaluation of the iron status profile in peripheral blood by biochemical and gene expression studies. The results obtained showed a significant decrease of serum iron, ferritin, and transferrin concentrations in patients compared with the control subjects. Also, a significant decrease of ferroportin (SLC40A1) and both transferrin receptors TFRC and TFR2 transcripts was found in peripheral blood mononuclear cells from patients. At the genetic level, significant associations with AD were found for single nucleotide polymorphisms in TF, TFR2, ACO1, and SLC40A1 genes. Apolipoprotein E gene, a well-known risk factor for AD, was also found significantly associated with the disease in this study. Taken together, we hypothesize that the alterations on systemic iron status observed in patients could reflect an iron homeostasis dysregulation, particularly in cellular iron efflux. The intracellular iron accumulation would lead to a rise in oxidative damage, contributing to AD pathophysiology.

  8. Precise Network Modeling of Systems Genetics Data Using the Bayesian Network Webserver.

    Science.gov (United States)

    Ziebarth, Jesse D; Cui, Yan

    2017-01-01

    The Bayesian Network Webserver (BNW, http://compbio.uthsc.edu/BNW ) is an integrated platform for Bayesian network modeling of biological datasets. It provides a web-based network modeling environment that seamlessly integrates advanced algorithms for probabilistic causal modeling and reasoning with Bayesian networks. BNW is designed for precise modeling of relatively small networks that contain less than 20 nodes. The structure learning algorithms used by BNW guarantee the discovery of the best (most probable) network structure given the data. To facilitate network modeling across multiple biological levels, BNW provides a very flexible interface that allows users to assign network nodes into different tiers and define the relationships between and within the tiers. This function is particularly useful for modeling systems genetics datasets that often consist of multiscalar heterogeneous genotype-to-phenotype data. BNW enables users to, within seconds or minutes, go from having a simply formatted input file containing a dataset to using a network model to make predictions about the interactions between variables and the potential effects of experimental interventions. In this chapter, we will introduce the functions of BNW and show how to model systems genetics datasets with BNW.

  9. [Clinical variations of chronic generalized periodontitis, genetic polymorphism and systemic production of inflammatory cytokines].

    Science.gov (United States)

    Grigorovich, E Sh; Pomorgailo, E G; Khomutova, E Yu; Stepanov, S S

    2015-01-01

    Carriage of polymorphic alleles of genes of cytokines-interleukines IL-1β, IL-1RN, TNFα, IL-4 can be a specific feature of chronic periodontitis patients. Genetic tests can be used to predict the course of the disease at its early manifestations. Objective: To establish the relationship of clinical manifestations of periodontal disease, inflammatory cytokines gene polymorphism and systemic levels of cytokine production. Periodontal tissue assessment and cone-beam computed tomography (CBCT) were performed in 150 periodontitis patients. A molecular--genetic testing for the presence of polymorphic alleles of genes IL-1β -511 C>T and +3953 C>T, IL-1RN (VNTR intron 2), IL-4 (VNTR intron 3), TNFα-308 G>A; content determined IL-1β, TNFα, IL-4 in peripheral blood was carried out in 150 patients with periodontitis and 150 healthy donors. Based on the analysis of the speed and nature of the supporting bone resorption and clinical manifestations patients are divided in "aggressive", "moderately progressive" and "slowly progressive" periodontits course groups. Disease severity was associated with distribution of genotypes and alleles of polymorphic genes cytokine IL-1RN (VNTR intron 2), TNFα-308 G>A and IL-4 (VNTR intron 3); haplotype IL-1β-511 TIL-1β +3953 T/IL-1RN 2R. There was no statistically significant difference in systemic level of IL-1β, TNFα and IL-4 between periodontitis groups but the donor level of cytokines was 2-4 times less.

  10. A neurofuzzy system based on rough set theory and genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    LUO Jian-xu; SHAO Hui-he

    2005-01-01

    This paper presents a hybrid soft computing modeling approach for a rough set theory and the genetic algorithms (NFRSGA). The fundamental problem of a neurofuzzy system is that when the input dimension increases, the fuzzy rule base increases exponentially. This leads to a huge infra structure network which results in slow convergence. To solve this problem, rough set theory is used to obtain the reductive rules, which are used as fuzzy rules of the fuzzy system. The number of rules decrease, and each rule does not need all the conditional attribute values. This results in a reduced, or not fully connected, neural network. The structure of the neural network is relatively small and thus the weights to be trained decrease. The genetic algorithm is used to search the optimal discretization of the continuous attributes. The NFRSGA approach has been applied in the practical application of building a soft sensor model for estimating the freezing point of the light diesel fuel in a Fluid Catalytic Cracking Unit ( FCCU), and satisfying results are obtained.

  11. Breeding system, colony structure, and genetic differentiation in the Camponotus festinatus species complex of carpenter ants.

    Science.gov (United States)

    Goodisman, Michael A D; Hahn, Daniel A

    2005-10-01

    All social insects live in highly organized societies. However, different social insect species display striking variation in social structure. This variation can significantly affect the genetic structure within populations and, consequently, the divergence between species. The purpose of this study was to determine if variation in social structure was associated with species diversification in the Camponotus festinatus desert carpenter ant species complex. We used polymorphic DNA microsatellite markers to dissect the breeding system of these ants and to determine if distinct C. festinatus forms hybridized in their natural range. Our analysis of single-queen colonies established in the laboratory revealed that queens typically mated with only a single male. The genotypes of workers sampled from a field population suggested that multiple, related queens occasionally reproduced within colonies and that colonies inhabited multiple nests. Camponotus festinatus workers derived from colonies of the same form originating at different locales were strongly differentiated, suggesting that gene flow was geographically restricted. Overall, our data indicate that C. festinatus populations are highly structured. Distinct C. festinatus forms possess similar social systems but are genetically isolated. Consequently, our data suggest that diversification in the C. festinatus species complex is not necessarily associated with a shift in social structure.

  12. Sugarcane production under smallholder farming systems: Farmers preferred traits, constraints and genetic resources

    Directory of Open Access Journals (Sweden)

    Esayas Tena

    2016-05-01

    Full Text Available Smallholder sugarcane production sector is under researched and underdeveloped with limited industrial link and support. The objectives of this study were to assess the current state of sugarcane production, farmers’ perceived production constraints and preferred traits, and to collect germplasm grown by smallholder farmers in southern Ethiopia for strategic breeding and conservation. The study was conducted across 16 administrative zones, 28 districts and 56 peasant associations involving 560 smallholder sugarcane growers in southern Ethiopia using a participatory rural appraisal (PRA approach. Sugarcane genetic resources were collected through structured sampling. Findings from this study indicated that monocropping was identified as the predominant sugarcane farming system. Respondent farmers prioritized drought tolerance (21%, increased cane yield (20%, early maturity (18%, marketability (17%, and high biomass (14% as the top preferred traits of sugarcane. Ninety diverse sugarcane landraces were collected from homesteads of smallholder farmers. Findings from this study would serve as baseline information towards sugarcane research and development emphasising the constraints and preferences of smallholder sugarcane growers in Ethiopia or similar agro-ecologies. This is the first study to report farmers preferred traits and constraints, and genetic resources of sugarcane under smallholder farming systems in Ethiopia.

  13. Handling, genetic and housing effects on the mouse stress system, dopamine function, and behavior.

    Science.gov (United States)

    Gariépy, Jean-Louis; Rodriguiz, Ramona Marie; Jones, Byron C

    2002-08-01

    This research was designed to examine how early stimulation (i.e., handling), subsequent housing conditions and genetic factors interact to produce adult differences in stress regulation. High-aggressive (NC900) and low-aggressive (NC100) mice were handled for 3 weeks potspartum and were subsequently isolated or grouped until observed as adults in an open field or a dyadic test. In NC100, handling abolished the temporal variations seen in open-field activity among the nonhandled subjects and reduced corticosterone (CORT) activation. In NC900, these two measures were unaffected by handling. Only among handled NC100 did subsequent group rearing further reduce CORT activation. By contrast, handling caused an up-regulation of D1 dopamine receptors in both lines, and, in NC100, this effect was increased by group rearing. In a dyadic encounter with another male mouse, subjects of both lines showed handling effects. NC100 froze less rapidly and NC900 attacked more rapidly. This multifactorial design showed that the systemic effects of handling are modulated by genetic background, and that measures of these effects are affected by experience beyond infancy. Our findings also showed that the effects of handling vary when assessed across different physiological systems and across social and nonsocial testing conditions.

  14. Manteia, a predictive data mining system for vertebrate genes and its applications to human genetic diseases.

    Science.gov (United States)

    Tassy, Olivier; Pourquié, Olivier

    2014-01-01

    The function of genes is often evolutionarily conserved, and comparing the annotation of ortholog genes in different model organisms has proved to be a powerful predictive tool to identify the function of human genes. Here, we describe Manteia, a resource available online at http://manteia.igbmc.fr. Manteia allows the comparison of embryological, expression, molecular and etiological data from human, mouse, chicken and zebrafish simultaneously to identify new functional and structural correlations and gene-disease associations. Manteia is particularly useful for the analysis of gene lists produced by high-throughput techniques such as microarrays or proteomics. Data can be easily analyzed statistically to characterize the function of groups of genes and to correlate the different aspects of their annotation. Sophisticated querying tools provide unlimited ways to merge the information contained in Manteia along with the possibility of introducing custom user-designed biological questions into the system. This allows for example to connect all the animal experimental results and annotations to the human genome, and take advantage of data not available for human to look for candidate genes responsible for genetic disorders. Here, we demonstrate the predictive and analytical power of the system to predict candidate genes responsible for human genetic diseases.

  15. Systems genetics of obesity in an F2 pig model by genome-wide association, genetic network and pathway analyses

    DEFF Research Database (Denmark)

    Kogelman, Lisette; Pant, Sameer Dinkar; Fredholm, Merete;

    2014-01-01

    Obesity is a complex condition with world-wide exponentially rising prevalence rates, linked with severe diseases like Type 2 Diabetes. Economic and welfare consequences have led to a raised interest in a better understanding of the biological and genetic background. To date, whole genome...... of obesity-related phenotypes and genotyped using the 60K SNP chip. Firstly, Genome Wide Association (GWA) analysis was performed on the Obesity Index to locate candidate genomic regions that were further validated using combined Linkage Disequilibrium Linkage Analysis and investigated by evaluation...

  16. Systems genetics of obesity in an F2 pig model by genome-wide association, genetic network and pathway analyses

    DEFF Research Database (Denmark)

    Kogelman, Lisette; Pant, Sameer Dinkar; Fredholm, Merete

    2014-01-01

    Obesity is a complex condition with world-wide exponentially rising prevalence rates, linked with severe diseases like Type 2 Diabetes. Economic and welfare consequences have led to a raised interest in a better understanding of the biological and genetic background. To date, whole genome...... of obesity-related phenotypes and genotyped using the 60K SNP chip. Firstly, Genome Wide Association (GWA) analysis was performed on the Obesity Index to locate candidate genomic regions that were further validated using combined Linkage Disequilibrium Linkage Analysis and investigated by evaluation...

  17. A novel genetic system for recombinant protein secretion in the Antarctic Pseudoalteromonas haloplanktis TAC125

    Directory of Open Access Journals (Sweden)

    Marino Gennaro

    2006-12-01

    Full Text Available Abstract Background The final aim of recombinant protein production is both to have a high specific production rate and a high product quality. It was already shown that using cold-adapted bacteria as host vectors, some "intractable" proteins can be efficiently produced at temperature as low as 4°C. Results A novel genetic system for the production and secretion of recombinant proteins in the Antarctic Gram-negative bacterium Pseudoalteromonas haloplanktis TAC125 was set up. This system aims at combining the low temperature recombinant product production with the advantages of extra-cellular protein targeting. The psychrophilic α-amylase from Pseudoalteromonas haloplanktis TAB23 was used as secretion carrier. Three chimerical proteins were produced by fusing intra-cellular proteins to C-terminus of the psychrophilic α-amylase and their secretion was analysed. Data reported in this paper demonstrate that all tested chimeras were translocated with a secretion yield always higher than 80%. Conclusion Data presented here demonstrate that the "cold" gene-expression system is efficient since the secretion yield of tested chimeras is always above 80%. These secretion performances place the α-amylase derived secretion system amongst the best heterologous secretion systems in Gram-negative bacteria reported so far. As for the quality of the secreted passenger proteins, data presented suggest that the system also allows the correct disulphide bond formation of chimera components, secreting a fully active passenger.

  18. Colored Noise Induced Bistable Switch in the Genetic Toggle Switch Systems.

    Science.gov (United States)

    Wang, Pei; Lü, Jinhu; Yu, Xinghuo

    2015-01-01

    Noise can induce various dynamical behaviors in nonlinear systems. White noise perturbed systems have been extensively investigated during the last decades. In gene networks, experimentally observed extrinsic noise is colored. As an attempt, we investigate the genetic toggle switch systems perturbed by colored extrinsic noise and with kinetic parameters. Compared with white noise perturbed systems, we show there also exists optimal colored noise strength to induce the best stochastic switch behaviors in the single toggle switch, and the best synchronized switching in the networked systems, which demonstrate that noise-induced optimal switch behaviors are widely in existence. Moreover, under a wide range of system parameter regions, we find there exist wider ranges of white and colored noises strengths to induce good switch and synchronization behaviors, respectively; therefore, white noise is beneficial for switch and colored noise is beneficial for population synchronization. Our observations are very robust to extrinsic stimulus strength, cell density, and diffusion rate. Finally, based on the Waddington's epigenetic landscape and the Wiener-Khintchine theorem, physical mechanisms underlying the observations are interpreted. Our investigations can provide guidelines for experimental design, and have potential clinical implications in gene therapy and synthetic biology.

  19. HIGH DENSITY CULTIVATION OF GENETICALLY-ENGINEERED CHO CELL LINES WITH MICROCARRIER CULTURE SYSTEMS

    Institute of Scientific and Technical Information of China (English)

    肖成祖; 黄子才; 刘凤云; 郭志霞; 高丽华

    1994-01-01

    Genetically-enginecred CHO cell lines,rβ-13and CLF-8B2,were cultivated with the MC-1 microcarrier cul-ture system.The cell density could be enhanced by increasing the concentration of microcarrier.At a microcarrier concentration of 10 mg/ml.the cell density could reach 4 to 5×106 cells/ml.It was shown that these cell itnes would spontaneously release from the microcarrier to attach to and proliferate on fresh microcatriera.We were thus able to scale up cultivation using a simple methcd,i.e.by adding fresh mlcrocarriers and medium directiy in-to the culture system to about 2,4 or 8 times the original volume.Using a 2 L bioreactor for several weeks at medium perfusion rates of 0.5 to 3working volumes.Prourokinase was stably secreted.

  20. Probing the Catalytic Charge-Relay System in Alanine Racemase with Genetically Encoded Histidine Mimetics.

    Science.gov (United States)

    Sharma, Vangmayee; Wang, Yane-Shih; Liu, Wenshe R

    2016-12-16

    Histidine is a unique amino acid with an imidazole side chain in which both of the nitrogen atoms are capable of serving as a proton donor and proton acceptor in hydrogen bonding interactions. In order to probe the functional role of histidine involved in hydrogen bonding networks, fine-tuning the hydrogen bonding potential of the imidazole side chain is required but not feasible through traditional mutagenesis methods. Here, we show that two close mimetics of histidine, 3-methyl-histidine and thiazole alanine, can be genetically encoded using engineered pyrrolysine incorporation machinery. Replacement of the three histidine residues predicted to be involved in an extended charge-relay system in alanine racemase with 3-methyl-histidine or thiazole alanine shows a dramatic loss in the enzyme's catalytic efficiency, implying the role of this extended charge-relay system in activating the active site residue Y265, a general acid/base catalyst in the enzyme.

  1. [The role of genetic variants of the dopaminergic system in heroin dependence].

    Science.gov (United States)

    Vereczkei, Andrea; Sasvári-Székely, Mária; Barta, Csaba

    2009-06-01

    Heroin dependence is a disorder with complex inheritance. It is influenced by multiple genetic and environmental factors. This paper gives an overview on the specific risk factors in the background of heroin addiction, especially within the dopaminergic system, which is one of the most important components of the brain's reward system. In connection with the development of heroin addiction the role of the dopamine D2 and D4 receptors, the dopamine transporter and the catechol-O-methyltransferase genes is discussed. Certain polymorphisms of the most extensively studied dopamine D2 receptor gene show strong association with heroin dependence. Dopamine D4 receptor and catechol-O-methyltransferase genes are also associated with the disease, but some results are still controversial. Only few studies have been done in association with the dopamine transporter gene and substance misuse and no convincing results have been found. To unravel the contradictions and better understand the pathogenesis of the disease more research needs to be conducted.

  2. The quantitative basis of the Arabidopsis innate immune system to endemic pathogens depends on pathogen genetics

    DEFF Research Database (Denmark)

    Corwin, Jason A; Copeland, Daniel; Feusier, Julie;

    2016-01-01

    The most established model of the eukaryotic innate immune system is derived from examples of large effect monogenic quantitative resistance to pathogens. However, many host-pathogen interactions involve many genes of small to medium effect and exhibit quantitative resistance. We used...... the Arabidopsis-Botrytis pathosystem to explore the quantitative genetic architecture underlying host innate immune system in a population of Arabidopsis thaliana. By infecting a diverse panel of Arabidopsis accessions with four phenotypically and genotypically distinct isolates of the fungal necrotroph B....... cinerea, we identified a total of 2,982 genes associated with quantitative resistance using lesion area and 3,354 genes associated with camalexin production as measures of the interaction. Most genes were associated with resistance to a specific Botrytis isolate, which demonstrates the influence...

  3. Apparatus, System and Method for Fast Detection of Genetic Information by PCR in an Interchangeable Chip

    KAUST Repository

    Wen, Weijia

    2011-03-03

    A polymerase chain reaction (PCR) device for fast amplification and detection of DNA includes an interchangeable PCR chamber, a temperature control component, and an optical detection system. The DNA amplification is performed on an interchangeable chip with volumes as small as 1.25 µl, while the heating and cooling rate may be as fast as 12.7 °C/second ensuring that the total time needed of only 25 minutes to complete the 35 cycle PCR amplification. The PCR may be performed according to a two-temperature approach for denaturing and annealing (Td and Ta) of DNA with the PCR chip, with which the amplification of male-specific SRY gene marker by utilizing raw saliva may be achieved. The genetic identification may be in-situ detected after PCR by the optical detection system.

  4. The mammalian complement system as an epitome of host-pathogen genetic conflicts.

    Science.gov (United States)

    Cagliani, Rachele; Forni, Diego; Filippi, Giulia; Mozzi, Alessandra; De Gioia, Luca; Pontremoli, Chiara; Pozzoli, Uberto; Bresolin, Nereo; Clerici, Mario; Sironi, Manuela

    2016-03-01

    The complement system is an innate immunity effector mechanism; its action is antagonized by a wide array of pathogens and complement evasion determines the virulence of several infections. We investigated the evolutionary history of the complement system and of bacterial-encoded complement-interacting proteins. Complement components targeted by several pathogens evolved under strong selective pressure in primates, with selection acting on residues at the contact interface with microbial/viral proteins. Positively selected sites in CFH and C4BPA account for the human specificity of gonococcal infection. Bacterial interactors, evolved adaptively as well, with selected sites located at interaction surfaces with primate complement proteins. These results epitomize the expectation under a genetic conflict scenario whereby the host's and the pathogen's genes evolve within binding avoidance-binding seeking dynamics. In silico mutagenesis and protein-protein docking analyses supported this by showing that positively selected sites, both in the host's and in the pathogen's interacting partner, modulate binding.

  5. Bayesian model selection in complex linear systems, as illustrated in genetic association studies.

    Science.gov (United States)

    Wen, Xiaoquan

    2014-03-01

    Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model system and in a Bayesian framework. We discuss formulating model selection problems and incorporating context-dependent a priori information through different levels of prior specifications. We also derive analytic Bayes factors and their approximations to facilitate model selection and discuss their theoretical and computational properties. We demonstrate our Bayesian approach based on an implemented Markov Chain Monte Carlo (MCMC) algorithm in simulations and a real data application of mapping tissue-specific eQTLs. Our novel results on Bayes factors provide a general framework to perform efficient model comparisons in complex linear model systems.

  6. Optimization of Electrical System for Offshore Wind Farms via a Genetic Algorithm Approach

    DEFF Research Database (Denmark)

    Zhao, Menghua

    , and the LTC limitation of transformers, the power generation limits and the voltage operation range are considered as the constraints. The optimization method combined with probabilistic analysis is used to obtain the capacity of a given wind farm site. The OES-OWF is approached by Genetic Algorithm (GA...... to very different costs, system reliability, power quality, and power losses etc. Therefore, the optimization of electrical system design for offshore wind farms becomes more and more necessary. There are two tasks in this project: 1) the first one is to construct an algorithm for finding the capacity......). This platform is based on a knowledge database, and composed of several functional modules such as cost calculation, reliability evaluation, losses calculation, AC-DC integrated load flow algorithm etc. All these modules are based on a spreadsheet database which provides an interface for users to input...

  7. Optimization of the Electric Power Leveling System Using a Superconducting Magnetic Energy Storage with Genetic Algorithm

    Science.gov (United States)

    Funabiki, Shigeyuki; Tanaka, Toshihiko; Fujii, Toshinori

    A new optimization method of the electric power leveling system using an SMES is proposed. The SMES is parallelly connected with rolling mills in steel works. The leveling control is based on fuzzy reasoning. The SMES capacity and the scaling factors of the fuzzy controller will be optimized so that the power leveling control can be achieved and then the total cost of the added SMES cost and reduced contract electricity rate becomes lower. The optimization is carried out using the genetic algorithm and the cost reduction of 7.76 billion yen can be achieved. It is confirmed by the power leveling simulation that the proposed optimization method is very effective for designing the power leveling system.

  8. Development of a reverse genetics system to generate recombinant Marburg virus derived from a bat isolate.

    Science.gov (United States)

    Albariño, César G; Uebelhoer, Luke S; Vincent, Joel P; Khristova, Marina L; Chakrabarti, Ayan K; McElroy, Anita; Nichol, Stuart T; Towner, Jonathan S

    2013-11-01

    Recent investigations have shown the Egyptian fruit bat (Rousettus aegyptiacus) to be a natural reservoir for marburgviruses. To better understand the life cycle of these viruses in the natural host, a new reverse genetics system was developed for the reliable rescue of a Marburg virus (MARV) originally isolated directly from a R. aegyptiacus bat (371Bat). To develop this system, the exact terminal sequences were first determined by 5' and 3' RACE, followed by the cloning of viral proteins NP, VP35, VP30 and L into expression plasmids. Novel conditions were then developed to efficiently replicate virus mini-genomes followed by the construction of full-length genomic clones from which recombinant wild type and GFP-containing MARVs were rescued. Surprisingly, when these recombinant MARVs were propagated in primary human macrophages, a dramatic difference was found in their ability to grow and to elicit anti-viral cytokine responses.

  9. Convergence Rate Evaluation of a DS-CDMA System with Centralized Power Control By Genetic Algorithm

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    In this paper, we propose an approach to solve the power control issue in a Digital Cellular System(DS-CDMA) cellular system using Genetic Algorithms (GAs). The transmitter power control developed in this paper has been proven to be efficient to control co-channel interference, to increase bandwidth utilization and to balance the comprehensive services that are shared among all the mobiles with attaining a common Signal-to-Interference Ratio (SIR). In this paper, the optimal Centralized Power Control(CPC) vector is characterized and its optimal solution to CPC is presented using GAs, in which First In-First Out (FIFO) stacks and non-linear decreasing functions are derived in the investigation for enforceing the convergence rate. Emphasis is put on the balance of services and convergence rate by using GAs.

  10. Genetic and epigenetic control of gene expression by CRISPR–Cas systems

    Science.gov (United States)

    Lo, Albert; Qi, Lei

    2017-01-01

    The discovery and adaption of bacterial clustered regularly interspaced short palindromic repeats (CRISPR)–CRISPR-associated (Cas) systems has revolutionized the way researchers edit genomes. Engineering of catalytically inactivated Cas variants (nuclease-deficient or nuclease-deactivated [dCas]) combined with transcriptional repressors, activators, or epigenetic modifiers enable sequence-specific regulation of gene expression and chromatin state. These CRISPR–Cas-based technologies have contributed to the rapid development of disease models and functional genomics screening approaches, which can facilitate genetic target identification and drug discovery. In this short review, we will cover recent advances of CRISPR–dCas9 systems and their use for transcriptional repression and activation, epigenome editing, and engineered synthetic circuits for complex control of the mammalian genome. PMID:28649363

  11. Accelerating discovery for complex neurological and behavioral disorders through systems genetics and integrative genomics in the laboratory mouse.

    Science.gov (United States)

    Bubier, Jason A; Chesler, Elissa J

    2012-04-01

    Recent advances in systems genetics and integrative functional genomics have greatly improved the study of complex neurological and behavioral traits. The methods developed for the integrated characterization of new, high-resolution mouse genetic reference populations and systems genetics enable behavioral geneticists an unprecedented opportunity to address questions of the molecular basis of neurological and psychiatric disorders and their comorbidities. Integrative genomics augment these strategies by enabling rapid informatics-assisted candidate gene prioritization, cross-species translation, and mechanistic comparison across related disorders from a wealth of existing data in mouse and other model organisms. Ultimately, through these complementary approaches, finding the mechanisms and sources of genetic variation underlying complex neurobehavioral disease related traits is becoming tractable. Furthermore, these methods enable categorization of neurobehavioral disorders through their underlying biological basis. Together, these model organism-based approaches can lead to a refinement of diagnostic categories and targeted treatment of neurological and psychiatric disease.

  12. Testing a model for the genetic structure of personality: a comparison of the personality systems of Cloninger and Eysenck.

    Science.gov (United States)

    Heath, A C; Cloninger, C R; Martin, N G

    1994-04-01

    Genetic analysis of data from 2,680 adult Australian twin pairs demonstrated significant genetic contributions to variation in scores on the Harm Avoidance, Novelty Seeking, and Reward Dependence scales of Cloninger's Tridimensional Personality Questionnaire (TPQ), accounting for between 54% and 61% of the stable variation in these traits. Multivariate genetic triangular decomposition models were fitted to determine the extent to which the TPQ assesses the same dimensions of heritable variation as the revised Eysenck Personality Questionnaire. These analyses demonstrated that the personality systems of Eysenck and Cloninger are not simply alternative descriptions of the same dimensions of personality, but rather each provide incomplete descriptions of the structure of heritable personality differences.

  13. Parametric Optimization of Control Systems Pumping Station by the Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    M. P. Dounaev

    2014-01-01

    Full Text Available Now the frequency regulation with its well-known advantages is becoming more popular for using in electric drives. One of these systems is the system of liquid flow stabilization for pumping station of the second flood, which is discussed at the article. There are functional elements of the system: the frequency converter, the induction motor, pump set, check valve, part of the pipeline between the flow sensors and PID controller. In this case are used PID controller with universal input and RS-485 OWEN TRM101.The article tries to solve the main problem, which is to set optimal controller settings. The article presents a mathematical model of the system, built on the basis of transfer functions. The specific values of the parameters for Bratsk pumping station of the second flood are found.To solve the problem of parametric optimization for control of pumping station authors use a genetic algorithm, which allows us to use different quality criteria. A set of parameters for the genetic algorithm is represented, as well as a method of selection and a method of the transition between generations. The problem of parametric optimization was solved by quadratic integral criterion and by the criterion, composed of direct measures of quality (regulation time and the overshoot. The PID controller optimal values of adjustable parameters were obtained both for considered criteria and for their corresponding transient processes. Comparative analysis of results was produced. When proving the optimality of the obtained settings for the quadratic criterion the proximity of the gradient components of the target functional to zero is demonstrated. In the case of a criterion based on a direct measure of quality, is presented a picture of convergence of adjustable parameters to the same value when run with different starting points.It is presented that the use of a criterion based on a direct measure of quality, can significantly reduce the overshoot with a

  14. Genetic and histological studies on the delayed systemic movement of Tobacco Mosaic Virus in Arabidopsis thaliana

    Directory of Open Access Journals (Sweden)

    Matus José

    2008-09-01

    Full Text Available Abstract Background Viral infections and their spread throughout a plant require numerous interactions between the host and the virus. While new functions of viral proteins involved in these processes have been revealed, current knowledge of host factors involved in the spread of a viral infection is still insufficient. In Arabidopsis thaliana, different ecotypes present varying susceptibilities to Tobacco mosaic virus strain U1 (TMV-U1. The rate of TMV-U1 systemic movement is delayed in ecotype Col-0 when compared with other 13 ecotypes. We followed viral movement through vascular tissue in Col-0 plants by electronic microscopy studies. In addition, the delay in systemic movement of TMV-U1 was genetically studied. Results TMV-U1 reaches apical leaves only after 18 days post rosette inoculation (dpi in Col-0, whereas it is detected at 9 dpi in the Uk-4 ecotype. Genetic crosses between Col-0 and Uk-4 ecotypes, followed by analysis of viral movement in F1 and F2 populations, revealed that this delayed movement correlates with a recessive, monogenic and nuclear locus. The use of selected polymorphic markers showed that this locus, denoted DSTM1 (Delayed Systemic Tobamovirus Movement 1, is positioned on the large arm of chromosome II. Electron microscopy studies following the virion's route in stems of Col-0 infected plants showed the presence of curved structures, instead of the typical rigid rods of TMV-U1. This was not observed in the case of TMV-U1 infection in Uk-4, where the observed virions have the typical rigid rod morphology. Conclusion The presence of defectively assembled virions observed by electron microscopy in vascular tissue of Col-0 infected plants correlates with a recessive delayed systemic movement trait of TMV-U1 in this ecotype.

  15. An overview of the lagomorph immune system and its genetic diversity.

    Science.gov (United States)

    Pinheiro, Ana; Neves, Fabiana; Lemos de Matos, Ana; Abrantes, Joana; van der Loo, Wessel; Mage, Rose; Esteves, Pedro José

    2016-02-01

    Our knowledge of the lagomorph immune system remains largely based upon studies of the European rabbit (Oryctolagus cuniculus), a major model for studies of immunology. Two important and devastating viral diseases, rabbit hemorrhagic disease and myxomatosis, are affecting European rabbit populations. In this context, we discuss the genetic diversity of the European rabbit immune system and extend to available information about other lagomorphs. Regarding innate immunity, we review the most recent advances in identifying interleukins, chemokines and chemokine receptors, Toll-like receptors, antiviral proteins (RIG-I and Trim5), and the genes encoding fucosyltransferases that are utilized by rabbit hemorrhagic disease virus as a portal for invading host respiratory and gut epithelial cells. Evolutionary studies showed that several genes of innate immunity are evolving by strong natural selection. Studies of the leporid CCR5 gene revealed a very dramatic change unique in mammals at the second extracellular loop of CCR5 resulting from a gene conversion event with the paralogous CCR2. For the adaptive immune system, we review genetic diversity at the loci encoding antibody variable and constant regions, the major histocompatibility complex (RLA) and T cells. Studies of IGHV and IGKC genes expressed in leporids are two of the few examples of trans-species polymorphism observed outside of the major histocompatibility complex. In addition, we review some endogenous viruses of lagomorph genomes, the importance of the European rabbit as a model for human disease studies, and the anticipated role of next-generation sequencing in extending knowledge of lagomorph immune systems and their evolution.

  16. Rosários dos Pretos, Saint Benedict of Quissama: Black Confraternities and Devotions in the Atlantic World (Portugal and Angola, 1700s

    Directory of Open Access Journals (Sweden)

    Lucilene REGINALDO

    2016-06-01

    Full Text Available In the eighteenth century, confraternities such as that of Our Lady of the Rosary and those dedicated to the black saints Benedict, Iphigenia and Elesban – to mention only the most popular devotions – were common in different areas of the Atlantic World. They were especially popular among people of color, both enslaved and free. In this paper I argue that the popularity of these sodalities should not be understood solely as the result of Catholic expansion. Rather, Africans and their descendents assumed an active role in this process, as important agents in propagating and popularizing the devotions and black confraternities. In order to understand this process I examine the history of black confraternities and devotions in two parts of the Portuguese Atlantic world: the kingdom of Portugal and the territories it conquered in Angola.

  17. Establishment of a system based on universal multiplex-PCR for screening genetically modified crops.

    Science.gov (United States)

    Lu, I-Jen; Lin, Chih-Hui; Pan, Tzu-Ming

    2010-03-01

    The rapid development of many genetically modified (GM) crops in the past two decades makes it necessary to introduce an alternative strategy for routine screening and identification. In this study, we established a universal multiplex PCR detection system which will effectively reduce the number of reactions needed for sample identification. The PCR targets of this system include the six most frequently used transgenic elements: cauliflower mosaic virus (CaMV) 35S promoter, Agrobacterium tumefaciens nopaline synthase (nos) promoter, Agrobacterium tumefaciens nopaline synthase (nos) terminator, the neomycin phosphotransferase II (nptII) gene, the 5-enolpyruvylshikimate-3-phosphate synthase (CP4 epsps) gene of Agrobacterium tumefaciens strain CP4, and the phosphinothricin N-acetyltransferase (pat) gene. According to the AGBIOS database, the coverage of this detection system is 93% of commercial GM crops. This detection system could detect all certified reference materials (CRMs) at the 1.0% level. The correct combination of all the CRM amplicon patterns proved the specificity of this multiplex PCR system. Furthermore, the amplicon patterns of this multiplex PCR detection system could be used as an index of classification which will narrow the range of possible GM products. The simulation result of this multiplex PCR detection system on all commercialized 139 GM products in the AGBIOS database showed that the maximum number of PCR reactions needed to identify an unknown sample can be reduced to 13. In this study, we established a high-throughput multiplex PCR detection system with feasible sensitivity, specificity, and cost. By incorporating this detection system, the routine GM crop-detection process will meet the challenges resulting from a rapid increase in the number of GM crops in the future.

  18. An improved Agrobacterium-mediated transformation system for the functional genetic analysis of Penicillium marneffei.

    Science.gov (United States)

    Kummasook, Aksarakorn; Cooper, Chester R; Vanittanakom, Nongnuch

    2010-12-01

    We have developed an improved Agrobacterium-mediated transformation (AMT) system for the functional genetic analysis of Penicillium marneffei, a thermally dimorphic, human pathogenic fungus. Our AMT protocol included the use of conidia or pre-germinated conidia of P. marneffei as the host recipient for T-DNA from Agrobacterium tumefaciens and co-cultivation at 28°C for 36 hours. Bleomycin-resistant transformants were selected as yeast-like colonies following incubation at 37°C. The efficiency of transformation was approximately 123 ± 3.27 and 239 ± 13.12 transformants per plate when using 5 × 10(4) conidia and pre-germinated conidia as starting materials, respectively. Southern blot analysis demonstrated that 95% of transformants contained single copies of T-DNA. Inverse PCR was employed for identifying flanking sequences at the T-DNA insertion sites. Analysis of these sequences indicated that integration occurred as random recombination events. Among the mutants isolated were previously described stuA and gasC defective strains. These AMT-derived mutants possessed single T-DNA integrations within their particular coding sequences. In addition, other morphological and pigmentation mutants possessing a variety of gene-specific defects were isolated, including two mutants having T-DNA integrations within putative promoter regions. One of the latter integration events was accompanied by the deletion of the entire corresponding gene. Collectively, these results indicated that AMT could be used for large-scale, functional genetic analyses in P. marneffei. Such analyses can potentially facilitate the identification of those genetic elements related to morphogenesis, as well as pathogenesis in this medically important fungus.

  19. Time devoted to pre- and post-HIV test counselling in different health services according to participants of a rapid testing program in Madrid, Spain.

    Science.gov (United States)

    Hoyos Miller, Juan; Fernández-Balbuena, Sonia; Belza Egozcue, María José; García de Olalla, Patricia; Pulido Manzanero, Jose; Molist Señe, Gemma; de la Fuente de Hoz, Luis

    2014-02-01

    The role of pre- and post-test counselling in new HIV testing strategies to reduce delayed diagnosis has been debated. Data on time devoted to counselling are scarce. One approach to this problem is to explore patients' views on the time devoted to counselling by venue of their last HIV test. We analysed data from 1568 people with a previous HIV test who attended a mobile HIV testing program in Madrid between May and December 2008. The majority (71%) were men (48% had had sex with other men), 51% were Oral consent should be the only requirement. Copyright © 2012 Elsevier España, S.L. All rights reserved.

  20. Genetic evidence confirms polygamous mating system in a crustacean parasite with multiple hosts.

    Directory of Open Access Journals (Sweden)

    Quentin Jossart

    Full Text Available Mating systems are diverse in animals, notably in crustaceans, but can be inferred from a limited set of parameters. Baeza and Thiel (2007 proposed a model predicting mating systems of symbiotic crustaceans with three host characteristics and the risk of predation. These authors proposed five mating systems, ranging from monogamy to polygynandry (where multiple mating occurs for both genders. Using microsatellite loci, we tested the putatively mating system of the ectoparasite crab Dissodactylus primitivus. We determined the mating frequencies of males and females, parentage assignment (COLONY & GERUD software as well as the contents of female spermathecae. Our results are globally consistent with the model of Baeza and Thiel and showed, together with previous aquarium experiments, that this ectoparasite evolved a polygamous mating system where males and females move between hosts for mate search. Parentage analyses revealed that polyandry is frequent and concerns more than 60% of clutches, with clutches being fertilized by up to 6 different fathers. Polygyny is supported by the detection of eight males having sired two different broods. We also detected a significant paternity skew in 92% of the multipaternal broods. Moreover, this skew is probably higher than the estimation from the brood because additional alleles were detected in most of spermathecae. This high skew could be explained by several factors as sperm competition or cryptic female choice. Our genetic data, combined with previous anatomic analyses, provide consistent arguments to suggest sperm precedence in D. primitivus.

  1. ANFIS-based genetic algorithm for predicting the optimal sizing coefficient of photovoltaic supply systems

    Energy Technology Data Exchange (ETDEWEB)

    Mellit, A. [Medea Univ., Medea (Algeria). Inst. of Science Engineering, Dept. of Electronics

    2007-07-01

    Stand-alone photovoltaic (PV) power supply systems are regarded as reliable and economical sources of electricity in rural remote areas, particularly in developing countries. However, the sizing of stand-alone photovoltaic (PV) systems is an important part of the system design. Choosing the optimal number of solar cell panels and the size of the storage battery to be used for a certain application at a particular site is an important economical problem. In this paper, a genetic algorithm (GA) and an adaptive neuro-fuzzy inference scheme (ANFIS) were proposed as a means for determining the optimal size of PV system, particularly, in isolated areas. The GA-ANFIS model was shown to be suitable for modelling the optimal sizing parameters of PVS systems. The GA was used to determine the PV-array capacity and the storage capacity for 60 sites. From this database, 56 pairs relative to 56 sites were used for training the network. Four pairs were used for testing and validating the ANFIS model. A correlation of 99 per cent was achieved when complete unknown data parameters were presented to the model. The proposed technique provided more accurate results than the alternative artificial neural network (ANN) with GA. The advantage of this model was that it could estimate the PV-array area and the useful capacity of the battery from only geographical coordinates. Although the technique was applied and tested in Algeria, it can be generalized for any location in the world. 15 refs., 4 tabs., 8 figs.

  2. Genetic evidence confirms polygamous mating system in a crustacean parasite with multiple hosts.

    Science.gov (United States)

    Jossart, Quentin; Wattier, Rémi A; Kastally, Chedly; Aron, Serge; David, Bruno; De Ridder, Chantal; Rigaud, Thierry

    2014-01-01

    Mating systems are diverse in animals, notably in crustaceans, but can be inferred from a limited set of parameters. Baeza and Thiel (2007) proposed a model predicting mating systems of symbiotic crustaceans with three host characteristics and the risk of predation. These authors proposed five mating systems, ranging from monogamy to polygynandry (where multiple mating occurs for both genders). Using microsatellite loci, we tested the putatively mating system of the ectoparasite crab Dissodactylus primitivus. We determined the mating frequencies of males and females, parentage assignment (COLONY & GERUD software) as well as the contents of female spermathecae. Our results are globally consistent with the model of Baeza and Thiel and showed, together with previous aquarium experiments, that this ectoparasite evolved a polygamous mating system where males and females move between hosts for mate search. Parentage analyses revealed that polyandry is frequent and concerns more than 60% of clutches, with clutches being fertilized by up to 6 different fathers. Polygyny is supported by the detection of eight males having sired two different broods. We also detected a significant paternity skew in 92% of the multipaternal broods. Moreover, this skew is probably higher than the estimation from the brood because additional alleles were detected in most of spermathecae. This high skew could be explained by several factors as sperm competition or cryptic female choice. Our genetic data, combined with previous anatomic analyses, provide consistent arguments to suggest sperm precedence in D. primitivus.

  3. DNA Aptamer Generation by Genetic Alphabet Expansion SELEX (ExSELEX) Using an Unnatural Base Pair System.

    Science.gov (United States)

    Kimoto, Michiko; Matsunaga, Ken-ichiro; Hirao, Ichiro

    2016-01-01

    Genetic alphabet expansion of DNA using unnatural base pair systems is expected to provide a wide variety of novel tools and methods. Recent rapid progress in this area has enabled the creation of several types of unnatural base pairs that function as a third base pair in polymerase reactions. Presently, a major topic is whether the genetic alphabet expansion system actually increases nucleic acid functionalities. We recently applied our unnatural base pair system to in vitro selection (SELEX), using a DNA library containing four natural bases and an unnatural base, and succeeded in the generation of high-affinity DNA aptamers that specifically bind to target proteins. Only a few hydrophobic unnatural bases greatly augmented the affinity of the aptamers. Here, we describe a new approach (genetic alphabet Expansion SELEX, ExSELEX), using our hydrophobic unnatural base pair system for high affinity DNA aptamer generation.

  4. Comparison of PID Controller Tuning Methods with Genetic Algorithm for FOPTD System

    Directory of Open Access Journals (Sweden)

    K. Mohamed Hussain

    2014-02-01

    Full Text Available Measurement of Level, Temperature, Pressure and Flow parameters are very vital in all process industries. A combination of a few transducers with a controller, that forms a closed loop system leads to a stable and effective process. This article deals with control of in the process tank and comparative analysis of various PID control techniques and Genetic Algorithm (GA technique. The model for such a Real-time process is identified as First Order Plus Dead Time (FOPTD process and validated. The need for improved performance of the process has led to the development of model based controllers. Well-designed conventional Proportional, Integral and Derivative (PID controllers are the most widely used controller in the chemical process industries because of their simplicity, robustness and successful practical applications. Many tuning methods have been proposed for PID controllers. Many tuning methods have been proposed for obtaining better PID controller parameter settings. The comparison of various tuning methods for First Order Plus Dead Time (FOPTD process are analysed using simulation software. Our purpose in this study is comparison of these tuning methods for single input single output (SISO systems using computer simulation.Also efficiency of various PID controller are investigated for different performance metrics such as Integral Square Error (ISE, Integral Absolute Error (IAE, Integral Time absolute Error (ITAE, and Mean square Error (MSE is presented and simulation is carried out. Work in this paper explores basic concepts, mathematics, and design aspect of PID controller. Comparison between the PID controller and Genetic Algorithm (GA will have been carried out to determine the best controller for the temperature system.

  5. Ethnolinguistic structuring of sorghum genetic diversity in Africa and the role of local seed systems.

    Science.gov (United States)

    Westengen, Ola T; Okongo, Mark Atam; Onek, Leo; Berg, Trygve; Upadhyaya, Hari; Birkeland, Siri; Kaur Khalsa, Siri Dharma; Ring, Kristoffer H; Stenseth, Nils C; Brysting, Anne K

    2014-09-30

    Sorghum is a drought-tolerant crop with a vital role in the livelihoods of millions of people in marginal areas. We examined genetic structure in this diverse crop in Africa. On the continent-wide scale, we identified three major sorghum populations (Central, Southern, and Northern) that are associated with the distribution of ethnolinguistic groups on the continent. The codistribution of the Central sorghum population and the Nilo-Saharan language family supports a proposed hypothesis about a close and causal relationship between the distribution of sorghum and languages in the region between the Chari and the Nile rivers. The Southern sorghum population is associated with the Bantu languages of the Niger-Congo language family, in agreement with the farming-language codispersal hypothesis as it has been related to the Bantu expansion. The Northern sorghum population is distributed across early Niger-Congo and Afro-Asiatic language family areas with dry agroclimatic conditions. At a finer geographic scale, the genetic substructure within the Central sorghum population is associated with language-group expansions within the Nilo-Saharan language family. A case study of the seed system of the Pari people, a Western-Nilotic ethnolinguistic group, provides a window into the social and cultural factors involved in generating and maintaining the continent-wide diversity patterns. The age-grade system, a cultural institution important for the expansive success of this ethnolinguistic group in the past, plays a central role in the management of sorghum landraces and continues to underpin the resilience of their traditional seed system.

  6. Automated synthesis of both the topology and numerical parameters for seven patented optical lens systems using genetic programming

    Science.gov (United States)

    Jones, Lee W.; Al-Sakran, Sameer H.; Koza, John R.

    2005-08-01

    This paper describes how genetic programming was used as an automated invention machine to synthesize both the topology and numerical parameters for seven previously patented optical lens systems, including one aspherical system and one issued in the 21st-century. Two of the evolved optical lens systems infringe the claims of the patents and the others are novel solutions that satisfy the design goals stated in the patent. The automatic synthesis was done "from scratch"--that is, without starting from a pre-existing good design and without pre-specifying the number of lenses, the topological layout of the lenses, or the numerical parameters of the lenses. Genetic programming is a form of evolutionary computation used to automatically solve problems. It starts from a high-level statement of what needs to be done and progressively breeds a population of candidate individuals over many generations using the principle of Darwinian natural selection and genetic recombination. The paper describes how genetic programming created eyepieces that duplicated the functionality of seven previously patented lens systems. The seven designs were created in a substantially similar and routine way, suggesting that the use of genetic programming in the automated design of both the topology and numerical parameters for optical lens systems may have widespread utility.

  7. Fusion of Visible and Thermal Descriptors Using Genetic Algorithms for Face Recognition Systems

    Directory of Open Access Journals (Sweden)

    Gabriel Hermosilla

    2015-07-01

    Full Text Available The aim of this article is to present a new face recognition system based on the fusion of visible and thermal features obtained from the most current local matching descriptors by maximizing face recognition rates through the use of genetic algorithms. The article considers a comparison of the performance of the proposed fusion methodology against five current face recognition methods and classic fusion techniques used commonly in the literature. These were selected by considering their performance in face recognition. The five local matching methods and the proposed fusion methodology are evaluated using the standard visible/thermal database, the Equinox database, along with a new database, the PUCV-VTF, designed for visible-thermal studies in face recognition and described for the first time in this work. The latter is created considering visible and thermal image sensors with different real-world conditions, such as variations in illumination, facial expression, pose, occlusion, etc. The main conclusions of this article are that two variants of the proposed fusion methodology surpass current face recognition methods and the classic fusion techniques reported in the literature, attaining recognition rates of over 97% and 99% for the Equinox and PUCV-VTF databases, respectively. The fusion methodology is very robust to illumination and expression changes, as it combines thermal and visible information efficiently by using genetic algorithms, thus allowing it to choose optimal face areas where one spectrum is more representative than the other.

  8. Digestible lysine for broiler chickens with lower genetic potential grown on free-range system

    Directory of Open Access Journals (Sweden)

    Eduardo Souza do Nascimento

    Full Text Available ABSTRACT Determining the actual lysine requirement is crucial as it is an essential amino acid and plays animportant role in the metabolism of broilers. In addition, it is the second limiting amino acid for broilers fed with rations formulated basedon corn and soybean meal. The aim of this study was to determine the digestible lysine requirement for male broilers with lower genetic potential for growth in a semi-confined system as well as to evaluate the effects of different values of digestible lysine on performance and carcass characteristics. A total of 300 broiler chickensfrom a commercial lineage EMBRAPA 041 were used with an average initial weight of 987 g. The broilers were distributed into 20 experimental units in a completely randomized design with five treatments (0.586; 0.746; 0.906; 1.066, and 1.226% digestible lysine, four replicates and 15 broilers per experimental unit.In both periods, there were linear effect of digestible lysine values on the lysine intake and lysine utilization efficiency and quadratic effect on final body weight, weight gain and feed: gain ratio.There was a quadratic effect on the absolute weight of carcasses, breast, thigh + drumstick and income gizzard.For rearing of male broilers with lesser genetic growth potential reared in semi-confinement, rations with 1.040% and 1.103% digestible lysine can be recommended for maximum weight gain in periods from 35 to 70 and 35 to 84 days of age, respectively.

  9. A p53-based genetic tracing system to follow postnatal cardiomyocyte expansion in heart regeneration.

    Science.gov (United States)

    Xiao, Qi; Zhang, Guoxin; Wang, Huijuan; Chen, Lai; Lu, Shuangshuang; Pan, Dejing; Liu, Geng; Yang, Zhongzhou

    2017-02-15

    In the field of heart regeneration, the proliferative potential of cardiomyocytes in postnatal mice is under intense investigation. However, solely relying on immunostaining of proliferation markers, the long-term proliferation dynamics and potential of the cardiomyocytes cannot be readily addressed. Previously, we found that a p53 promoter-driving reporter predominantly marked the proliferating lineages in mice. Here, we established a p53-based genetic tracing system to investigate postnatal cardiomyocyte proliferation and heart regeneration. By selectively tracing proliferative cardiomyocytes, a differential pattern of clonal expansion in p53(+) cardiac myocytes was revealed in neonatal, adolescent and adult stages. In addition, the percentage of p53(+) lineage cardiomyocytes increased continuously in the first month. Furthermore, these cells rapidly responded to heart injury and greatly contributed to the replenished myocardium. Therefore, this study reveals complex proliferating dynamics in postnatal cardiomyocytes and heart repair, and provides a novel genetic tracing strategy for studying postnatal cardiac turnover and regeneration. © 2017. Published by The Company of Biologists Ltd.

  10. A Genetic System Controlling Mitochondrial Fusion in the Slime Mould, Physarum Polycephalum

    Science.gov (United States)

    Kawano, S.; Takano, H.; Imai, J.; Mori, K.; Kuroiwa, T.

    1993-01-01

    We have identified two distinct mitochondrial phenotypes, namely, Mif(+) (mitochondrial fusion) and Mif(-) (mitochondrial fusion-deficient), and have studied the genetic system that controls mitochondrial fusion in the slime mould, Physarum polycephalum. A mitochondrial plasmid of approximately 16 kbp was identified in all Mif(+) plasmodial strains. This plasmid is apparently responsible for promoting mitochondrial fusion, and it is inserted into the mitochondrial DNA (mtDNA) in successive sexual crossing with Mif(-) strains. This recombinant mtDNA and the unchanged free plasmid spread through the mitochondrial population via the promotion of mitochondrial fusion. The Mif(+) strains with the plasmid were further classified as being two types: high frequency and low frequency mitochondrial fusion. Restriction analysis of the mtDNA suggested that the high frequency mitochondrial fusion type was more often heteroplasmic; within each plasmodium, mtDNAs of both parental types were usually present, in addition to the presence of the plasmid. Genetic analysis with the progeny obtained from crossing myxamoebae derived from three different isolates suggested that these progeny carried different alleles at a nuclear locus that controlled the frequency of mitochondrial fusion. These alleles (mitochondrial mating-type alleles, mitA1, 2 and 3) appear to function like the mating type of the myxamoebae; mitochondrial fusion occurs at high frequency with the combination of unlike alleles, but at low frequency with the combination of like alleles. PMID:8436271

  11. Fusion of Visible and Thermal Descriptors Using Genetic Algorithms for Face Recognition Systems.

    Science.gov (United States)

    Hermosilla, Gabriel; Gallardo, Francisco; Farias, Gonzalo; San Martin, Cesar

    2015-07-23

    The aim of this article is to present a new face recognition system based on the fusion of visible and thermal features obtained from the most current local matching descriptors by maximizing face recognition rates through the use of genetic algorithms. The article considers a comparison of the performance of the proposed fusion methodology against five current face recognition methods and classic fusion techniques used commonly in the literature. These were selected by considering their performance in face recognition. The five local matching methods and the proposed fusion methodology are evaluated using the standard visible/thermal database, the Equinox database, along with a new database, the PUCV-VTF, designed for visible-thermal studies in face recognition and described for the first time in this work. The latter is created considering visible and thermal image sensors with different real-world conditions, such as variations in illumination, facial expression, pose, occlusion, etc. The main conclusions of this article are that two variants of the proposed fusion methodology surpass current face recognition methods and the classic fusion techniques reported in the literature, attaining recognition rates of over 97% and 99% for the Equinox and PUCV-VTF databases, respectively. The fusion methodology is very robust to illumination and expression changes, as it combines thermal and visible information efficiently by using genetic algorithms, thus allowing it to choose optimal face areas where one spectrum is more representative than the other.

  12. A Comparative Study of Probability Collectives Based Multi-agent Systems and Genetic Algorithms

    Science.gov (United States)

    Huang, Chien-Feng; Wolpert, David H.; Bieniawski, Stefan; Strauss, Charles E. M.

    2005-01-01

    We compare Genetic Algorithms (GA's) with Probability Collectives (PC), a new framework for distributed optimization and control. In contrast to GA's, PC-based methods do not update populations of solutions. Instead they update an explicitly parameterized probability distribution p over the space of solutions. That updating of p arises as the optimization of a functional of p. The functional is chosen so that any p that optimizes it should be p peaked about good solutions. The PC approach works in both continuous and discrete problems. It does not suffer from the resolution limitation of the finite bit length encoding of parameters into GA alleles. It also has deep connections with both game theory and statistical physics. We review the PC approach using its motivation as the information theoretic formulation of bounded rationality for multi-agent systems. It is then compared with GA's on a diverse set of problems. To handle high dimensional surfaces, in the PC method investigated here p is restricted to a product distribution. Each distribution in that product is controlled by a separate agent. The test functions were selected for their difficulty using either traditional gradient descent or genetic algorithms. On those functions the PC-based approach significantly outperforms traditional GA's in both rate of descent, trapping in false minima, and long term optimization.

  13. Genetic Variation in the Natriuretic Peptide System, Circulating Natriuretic Peptide Levels, and Blood Pressure

    DEFF Research Database (Denmark)

    Jeppesen, Jørgen L; Nielsen, Søren J; Torp-Pedersen, Christian;

    2012-01-01

    BackgroundIn a large collaborative study (n > 50,000), common variants in the natriuretic peptide (NP) genes were found to be associated with circulating NP levels and also with blood pressure (BP) levels based on office BP measurements (OBPMs). It is unknown if determining an individual's BP by ...... evidence that the NP system plays an important role in BP regulation.American Journal of Hypertension 2012; doi:10.1038/ajh.2012.96.......-h ambulatory BP measurements (ABPMs) will influence the effect of NP gene variations on BP levels.MethodsWe used rs632793 at the NPPB (NP precursor B) locus to investigate the relationship between genetically determined serum N-terminal pro-brain NP (NT-proBNP) concentrations and BP levels......). Office BP decreased across the genotypes from A:A to G:G, but the differences did not reach statistical significance (P = 0.12).ConclusionsThis study suggests that 24-h ABPMs is a better method than OBPMs to detect significant differences in BP levels related to genetic variance and provides further...

  14. Online Diagnosis System: a webserver for analysis of Sanger sequencing-based genetic testing data.

    Science.gov (United States)

    Sun, Kun; Yuen, Yuet-Ping; Wang, Huating; Sun, Hao

    2014-10-01

    Sanger sequencing is a well-established molecular technique for diagnosis of genetic diseases. In these tests, DNA sequencers produce vast amounts of data that need to be examined and annotated within a short period of time. To achieve this goal, an online bioinformatics platform that can automate the process is essential. However, to date, there is no such integrated bioinformatics platform available. To fulfill this gap, we developed the Online Diagnosis System (ODS), which is a freely available webserver and supports the commonly used file format of Sanger sequencing data. ODS seamlessly integrates base calling, single nucleotide variation (SNV) identification, and SNV annotation into one single platform. It also allows laboratorians to manually inspect the quality of the identified SNVs in the final report. ODS can significantly reduce the data analysis time therefore allows Sanger sequencing-based genetic testing to be finished in a timely manner. ODS is freely available at http://sunlab.lihs.cuhk.edu.hk/ODS/. Copyright © 2014 Elsevier Inc. All rights reserved.

  15. Systems Genetics Reveals the Functional Context of PCOS Loci and Identifies Genetic and Molecular Mechanisms of Disease Heterogeneity.

    Directory of Open Access Journals (Sweden)

    Michelle R Jones

    2015-08-01

    Full Text Available Genome wide association studies (GWAS have revealed 11 independent risk loci for polycystic ovary syndrome (PCOS, a common disorder in young women characterized by androgen excess and oligomenorrhea. To put these risk loci and the single nucleotide polymorphisms (SNPs therein into functional context, we measured DNA methylation and gene expression in subcutaneous adipose tissue biopsies to identify PCOS-specific alterations. Two genes from the LHCGR region, STON1-GTF2A1L and LHCGR, were overexpressed in PCOS. In analysis stratified by obesity, LHCGR was overexpressed only in non-obese PCOS women. Although not differentially expressed in the entire PCOS group, INSR was underexpressed in obese PCOS subjects only. Alterations in gene expression in the LHCGR, RAB5B and INSR regions suggest that SNPs in these loci may be functional and could affect gene expression directly or indirectly via epigenetic alterations. We identified reduced methylation in the LHCGR locus and increased methylation in the INSR locus, changes that are concordant with the altered gene expression profiles. Complex patterns of meQTL and eQTL were identified in these loci, suggesting that local genetic variation plays an important role in gene regulation. We propose that non-obese PCOS women possess significant alterations in LH receptor expression, which drives excess androgen secretion from the ovary. Alternatively, obese women with PCOS possess alterations in insulin receptor expression, with underexpression in metabolic tissues and overexpression in the ovary, resulting in peripheral insulin resistance and excess ovarian androgen production. These studies provide a genetic and molecular basis for the reported clinical heterogeneity of PCOS.

  16. Systems Genetics Reveals the Functional Context of PCOS Loci and Identifies Genetic and Molecular Mechanisms of Disease Heterogeneity.

    Science.gov (United States)

    Jones, Michelle R; Brower, Meredith A; Xu, Ning; Cui, Jinrui; Mengesha, Emebet; Chen, Yii-Der I; Taylor, Kent D; Azziz, Ricardo; Goodarzi, Mark O

    2015-08-01

    Genome wide association studies (GWAS) have revealed 11 independent risk loci for polycystic ovary syndrome (PCOS), a common disorder in young women characterized by androgen excess and oligomenorrhea. To put these risk loci and the single nucleotide polymorphisms (SNPs) therein into functional context, we measured DNA methylation and gene expression in subcutaneous adipose tissue biopsies to identify PCOS-specific alterations. Two genes from the LHCGR region, STON1-GTF2A1L and LHCGR, were overexpressed in PCOS. In analysis stratified by obesity, LHCGR was overexpressed only in non-obese PCOS women. Although not differentially expressed in the entire PCOS group, INSR was underexpressed in obese PCOS subjects only. Alterations in gene expression in the LHCGR, RAB5B and INSR regions suggest that SNPs in these loci may be functional and could affect gene expression directly or indirectly via epigenetic alterations. We identified reduced methylation in the LHCGR locus and increased methylation in the INSR locus, changes that are concordant with the altered gene expression profiles. Complex patterns of meQTL and eQTL were identified in these loci, suggesting that local genetic variation plays an important role in gene regulation. We propose that non-obese PCOS women possess significant alterations in LH receptor expression, which drives excess androgen secretion from the ovary. Alternatively, obese women with PCOS possess alterations in insulin receptor expression, with underexpression in metabolic tissues and overexpression in the ovary, resulting in peripheral insulin resistance and excess ovarian androgen production. These studies provide a genetic and molecular basis for the reported clinical heterogeneity of PCOS.

  17. Genetic polymorphism of CYP2D6 in patients with systemic lupus erythematosus and systemic sclerosis.

    Science.gov (United States)

    Barańska, Małgorzata; Rychlik-Sych, Mariola; Kaszuba, Andrzej; Dziankowska-Bartkowiak, Bożena; Skrętkowicz, Jadwiga; Waszczykowska, Elżbieta

    2016-01-20

    Human organism is constantly exposed to harmful exogenous factors (xenobiotics) including drugs and carcinogenic compounds that can induce development of a large number of diseases. The processes of biotransformation in the organism are multidirectional and xenobiotics can be transformed into active or inactive metabolites via the oxidative route. The knowledge of oxidation polymorphism in the course of systemic lupus erythematosus and systemic sclerosis may be helpful in choosing more efficient and safer therapy, particularly in the case of a disease involving various organs and treated with drugs belonging to diverse therapeutic groups. The aim of the study was to evaluate the CYP2D6 polymorphism in the SLE (systemic lupus erythematosus) and SSc (systemic sclerosis) patients and to investigate a possible correlation with disease susceptibility. The study was carried out in 296 patients: 65 patients with SLE, 81 patients with SSc, and 150 healthy volunteers. The CYP2D6 genotypes were analyzed by polymerase chain reaction fragment length polymorphism (PCR-RFLP) method. The relative risk of developing SSc, expressed by the odds ratio, was three-fold higher for persons with the CYP2D6*1/CYP2D6*4 genotype (OR = 2.9; statistically significant difference, p = 0.0002). A statistically significant correlation between the CYP2D6*4 allele prevalence and the risk for developing SSc was found (OR = 1.53; p = 0.047). No effect of the CYP2D6 gene mutations on the incidence of SLE was noted. The obtained results may suggest the influence of CYP2D6*4 gene variants alleles on increased incidence of systemic sclerosis.

  18. The role of endosymbionts in the evolution of haploid-male genetic systems in scale insects (Coccoidea)

    NARCIS (Netherlands)

    Ross, Laura; Shuker, David M.; Normark, Benjamin B.; Pen, Ido

    2012-01-01

    There is an extraordinary diversity in genetic systems across species, but this variation remains poorly understood. In part, this is because the mechanisms responsible for transitions between systems are often unknown. A recent hypothesis has suggested that conflict between hosts and endosymbiotic

  19. Specialized Genetic Recombination Systems in Bacteria: Their Involvement in Gene Expression and Evolution,

    Science.gov (United States)

    1980-01-01

    Classical genetics’and recent studies in molecular ga,- enetics have revealed a variet: of’ genetic exchange s, stems in bacteria. These recobination s- stems ...not drawn to scale?) .The borer geneous terminal sequences, turcne by i .’u . consist of random bacterial sequenco s that va’ y in conmpostlon and3 1’ n...eonts, originally used to define mobile genetic elements in maize (McClintock 1952), has been used colloquially to refer to all transposable genetic

  20. Evaluating oversight systems for emerging technologies: a case study of genetically engineered organisms.

    Science.gov (United States)

    Kuzma, Jennifer; Najmaie, Pouya; Larson, Joel

    2009-01-01

    The U.S. oversight system for genetically engineered organisms (GEOs) was evaluated to develop hypotheses and derive lessons for oversight of other emerging technologies, such as nanotechnology. Evaluation was based upon quantitative expert elicitation, semi-standardized interviews, and historical literature analysis. Through an interdisciplinary policy analysis approach, blending legal, ethical, risk analysis, and policy sciences viewpoints, criteria were used to identify strengths and weaknesses of GEOs oversight and explore correlations among its attributes and outcomes. From the three sources of data, hypotheses and broader conclusions for oversight were developed. Our analysis suggests several lessons for oversight of emerging technologies: the importance of reducing complexity and uncertainty in oversight for minimizing financial burdens on small product developers; consolidating multi-agency jurisdictions to avoid gaps and redundancies in safety reviews; consumer benefits for advancing acceptance of GEO products; rigorous and independent pre- and post-market assessment for environmental safety; early public input and transparency for ensuring public confidence; and the positive role of public input in system development, informed consent, capacity, compliance, incentives, and data requirements and stringency in promoting health and environmental safety outcomes, as well as the equitable distribution of health impacts. Our integrated approach is instructive for more comprehensive analyses of oversight systems, developing hypotheses for how features of oversight systems affect outcomes, and formulating policy options for oversight of future technological products, especially nanotechnology products.

  1. Toward a workable biosafety system for regulating genetically modified organisms in Ethiopia: balancing conservation and competitiveness.

    Science.gov (United States)

    Abraham, Adane

    2013-01-01

    On September 9, 2009, Ethiopia enacted a highly restrictive biosafety law firmly based on precautionary principles as a foundation for its GMO regulation system. Its drafting process, led by the country's Environmental Protection Authority, was judged as biased, focusing only on protecting the environment from perceived risks, giving little attention to potential benefits of GMOs. Many of its provisions are very stringent, exceeding those of Cartagena Protocol on Biosafety, while others cannot be fulfilled by applicants, collectively rendering the emerged biosafety system unworkable. These provisions include requirements for advance informed agreement and rigorous socioeconomic assessment in risk evaluation for all GMO transactions, including contained research use-which requires the head of the competent national authority of the exporting country to take full responsibility for GMO-related information provided-and stringent labeling, insurance and monitoring requirements for all GMO activities. Furthermore, there is no provision to establish an independent national biosafety decision-making body(ies). As a result, foreign technology owners that provide highly demanded technologies like Bt cotton declined to work with Ethiopia. There is a fear that the emerged biosafety system might also continue to suppress domestic genetic engineering research and development. Thus, to benefit from GMOs, Ethiopia has to revise its biosafety system, primarily by making changes to some provisions of the law in a way that balances its diverse interests of conserving biodiversity, protecting the environment and enhancing competition in agricultural and other economic sectors.

  2. A Doxycycline-Inducible System for Genetic Correction of iPSC Disease Models.

    Science.gov (United States)

    Sim, Xiuli; Cardenas-Diaz, Fabian L; French, Deborah L; Gadue, Paul

    2016-01-01

    Patient-derived induced pluripotent stem cells (iPSCs) are valuable tools for the study of developmental biology and disease modeling. In both applications, genetic correction of patient iPSCs is a powerful method to understand the specific contribution of a gene(s) in development or diseased state(s). Here, we describe a protocol for the targeted integration of a doxycycline-inducible transgene expression system in a safe harbor site in iPSCs. Our gene targeting strategy uses zinc finger nucleases (ZFNs) to enhance homologous recombination at the AAVS1 safe harbor locus, thus increasing the efficiency of the site-specific integration of the two targeting vectors that make up the doxycycline-inducible system. Importantly, the use of dual-drug selection in our system increases the efficiency of positive selection for double-targeted clones to >50 %, permitting a less laborious screening process. If desired, this protocol can also be adapted to allow the use of tissue-specific promoters to drive gene expression instead of the doxycycline-inducible promoter (TRE). Additionally, this protocol is also compatible with the use of Transcription-Activator-Like Effector Nucleases (TALENs) or Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas9 system in place of ZFNs.

  3. GoldenBraid: an iterative cloning system for standardized assembly of reusable genetic modules.

    Directory of Open Access Journals (Sweden)

    Alejandro Sarrion-Perdigones

    Full Text Available Synthetic Biology requires efficient and versatile DNA assembly systems to facilitate the building of new genetic modules/pathways from basic DNA parts in a standardized way. Here we present GoldenBraid (GB, a standardized assembly system based on type IIS restriction enzymes that allows the indefinite growth of reusable gene modules made of standardized DNA pieces. The GB system consists of a set of four destination plasmids (pDGBs designed to incorporate multipartite assemblies made of standard DNA parts and to combine them binarily to build increasingly complex multigene constructs. The relative position of type IIS restriction sites inside pDGB vectors introduces a double loop ("braid" topology in the cloning strategy that allows the indefinite growth of composite parts through the succession of iterative assembling steps, while the overall simplicity of the system is maintained. We propose the use of GoldenBraid as an assembly standard for Plant Synthetic Biology. For this purpose we have GB-adapted a set of binary plasmids for A. tumefaciens-mediated plant transformation. Fast GB-engineering of several multigene T-DNAs, including two alternative modules made of five reusable devices each, and comprising a total of 19 basic parts are also described.

  4. A genetic replacement system for selection-based engineering of essential proteins

    Directory of Open Access Journals (Sweden)

    Billerbeck Sonja

    2012-08-01

    Full Text Available Abstract Background Essential genes represent the core of biological functions required for viability. Molecular understanding of essentiality as well as design of synthetic cellular systems includes the engineering of essential proteins. An impediment to this effort is the lack of growth-based selection systems suitable for directed evolution approaches. Results We established a simple strategy for genetic replacement of an essential gene by a (library of variant(s during a transformation. The system was validated using three different essential genes and plasmid combinations and it reproducibly shows transformation efficiencies on the order of 107 transformants per microgram of DNA without any identifiable false positives. This allowed for reliable recovery of functional variants out of at least a 105-fold excess of non-functional variants. This outperformed selection in conventional bleach-out strains by at least two orders of magnitude, where recombination between functional and non-functional variants interfered with reliable recovery even in recA negative strains. Conclusions We propose that this selection system is extremely suitable for evaluating large libraries of engineered essential proteins resulting in the reliable isolation of functional variants in a clean strain background which can readily be used for in vivo applications as well as expression and purification for use in in vitro studies.

  5. Assessing T lymphocyte function and differentiation by genetically encoded reporter systems.

    Science.gov (United States)

    Hoekstra, Mirjam E; Dijkgraaf, Feline E; Schumacher, Ton N; Rohr, Jan C

    2015-07-01

    Upon infection, antigen-specific T lymphocytes become activated, proliferate, differentiate, and acquire various effector functions. Much of our understanding of the molecular mechanisms underlying these processes derives from studies leveraging gene deletion, RNAi, and overexpression approaches. However, these perturbations do not inform on the regulation of gene activity under physiological conditions. Genetic reporter systems that couple biological events to detectable output signals are capable of providing this information. Here, we review the reporter approaches being currently used to investigate various aspects of T cell behavior, and discuss advantages and disadvantages inherent to different designs. We outline emerging applications based on recent advances in other fields, and highlight the potential of synthetic biology and genome engineering to address open questions in the field.

  6. A Genetic Algorithm Optimised Fuzzy Logic Controller for Automatic Generation Control for Single Area System

    Science.gov (United States)

    Saini, J. S.; Jain, V.

    2015-03-01

    This paper presents a genetic algorithm (GA)-based design and optimization of fuzzy logic controller (FLC) for automatic generation control (AGC) for a single area. FLCs are characterized by a set of parameters, which are optimized using GA to improve their performance. The design of input and output membership functions (mfs) of an FLC is carried out by automatically tuning (off-line) the parameters of the membership functions. Tuning is based on maximization of a comprehensive fitness function constructed as inverse of a weighted average of three performance indices, i.e., integral square deviation (ISD), the integral of square of the frequency deviation and peak overshoot (Mp), and settling time (ts). The GA-optimized FLC (GAFLC) shows better performance as compared to a conventional proportional integral (PI) and a hand-designed fuzzy logic controller not only for a standard system (displaying frequency deviations) but also under parametric and load disturbances.

  7. Towards a formal design model based on a genetic design model system

    DEFF Research Database (Denmark)

    Storga, Mario; Andreasen, Mogens Myrup; Marjanovic, Dorian

    2005-01-01

    The research presented in this article is aimed to the investigation of the nature, building and practical role of a Design Ontology as a potential framework for the more efficient product development data-, information- and knowledge- description, -explanation, -understanding and -reusing...... by IEEE, provides us definitions for the most general and universal concepts, that we used in our research for derivation of terms definitions and axioms in the Design Ontology. The Design Ontology was evaluated using the OntoEdit® ontology engineering environment, on a real product example, and based....... In this article, we briefly summarize our experience of converting informal definitions of the concepts from the product development domain based on the existing theoretical background into formal design model. As a main data source for extracting the content of a design ontology, Genetic Design Model System...

  8. Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems

    Directory of Open Access Journals (Sweden)

    Jude Hemanth Duraisamy

    2016-01-01

    Full Text Available Image steganography is one of the ever growing computational approaches which has found its application in many fields. The frequency domain techniques are highly preferred for image steganography applications. However, there are significant drawbacks associated with these techniques. In transform based approaches, the secret data is embedded in random manner in the transform coefficients of the cover image. These transform coefficients may not be optimal in terms of the stego image quality and embedding capacity. In this work, the application of Genetic Algorithm (GA and Particle Swarm Optimization (PSO have been explored in the context of determining the optimal coefficients in these transforms. Frequency domain transforms such as Bandelet Transform (BT and Finite Ridgelet Transform (FRIT are used in combination with GA and PSO to improve the efficiency of the image steganography system.

  9. Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems

    Science.gov (United States)

    Jude Hemanth, Duraisamy; Umamaheswari, Subramaniyan; Popescu, Daniela Elena; Naaji, Antoanela

    2016-01-01

    Image steganography is one of the ever growing computational approaches which has found its application in many fields. The frequency domain techniques are highly preferred for image steganography applications. However, there are significant drawbacks associated with these techniques. In transform based approaches, the secret data is embedded in random manner in the transform coefficients of the cover image. These transform coefficients may not be optimal in terms of the stego image quality and embedding capacity. In this work, the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) have been explored in the context of determining the optimal coefficients in these transforms. Frequency domain transforms such as Bandelet Transform (BT) and Finite Ridgelet Transform (FRIT) are used in combination with GA and PSO to improve the efficiency of the image steganography system.

  10. [Genetic diversity and mating system Pinus brutia var. Stankewiczii sukacz. in small localities of Sudak (Crimea)].

    Science.gov (United States)

    Korshikov, I I; Kalafat, L A; Milchevskaya, Ya G

    2015-01-01

    A comparative analysis of genetic variation at 12 polymorphic isozyme loci, and the mating system has been carried out in mature trees and their seed progeny in three small localities of Pinus brutia var. stankewiczii Sukacz. near the town of Sudak--settlement of Novyi Svet in the Crimea. We found that embryos maintain the same allelic diversity as mother plants but their observed heterozygosity is lower on the average by 37.4%. The significant deviation of genotype distribution from the theoretically expected ratios caused by the deficiency of heterozygotes was observed at 8 out of 12 loci. Multilocus estimate of outcrossing rate (t(m)) in populations varied from 68.9 to 94.9% making on the average 80.7%.

  11. Construction and identification of reverse genetics system of Dengue type 2 virus isolated in China

    Institute of Scientific and Technical Information of China (English)

    ZHU Wuyang; CHEN Shuiping; QIN Chenggeng; YU Man; JIANG Tao; DENG Yongqiang; QIN Ede

    2006-01-01

    To construct infectious full-length cDNA clone of dengue virus type 2 isolated in China (DEN2-43), according to the published nucleotide sequence of the virus strain, the approximately 11 kb full-length cDNAs of DEN2-43 were amplified by long RT-PCR and fusion PCR. Full-length cDNA clones were constructed by inserting the full-length cDNA into a low copy vector pWSK29, from which rescued virus D212 was acquired by transcription in vitro and electroporation. The full-length cDNA clone pD212 was infectious, and rescued virus acquired in C6/36 cells was indistinguishable from DEN2-43 virus in biological properties including suckling mice neurovirulence. The reverse genetics system helps elucidate the mechanism of pathogenesis of dengue virus and develop novel vaccine against dengue.

  12. Root system architecture: opportunities and constraints for genetic improvement of crops.

    Science.gov (United States)

    de Dorlodot, Sophie; Forster, Brian; Pagès, Loïc; Price, Adam; Tuberosa, Roberto; Draye, Xavier

    2007-10-01

    Abiotic stresses increasingly curtail crop yield as a result of global climate change and scarcity of water and nutrients. One way to minimize the negative impact of these factors on yield is to manipulate root system architecture (RSA) towards a distribution of roots in the soil that optimizes water and nutrient uptake. It is now established that most of the genetic variation for RSA is driven by a suite of quantitative trait loci. As we discuss here, marker-assisted selection and quantitative trait loci cloning for RSA are underway, exploiting genomic resources, candidate genes and the knowledge gained from Arabidopsis, rice and other crops. Nonetheless, efficient and accurate phenotyping, modelling and collaboration with breeders remain important challenges, particularly when defining ideal RSA for different crops and target environments.

  13. Optimal Control of Population Transfer in Three-Level A System with Genetic Algorithms

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xiang-Yun; SUN Zhen-Rong; CHEN Guo-Liang; WANG Zu-Geng; XU Zhi-Zhan; LI Ru-Xin

    2004-01-01

    Population transfer in a three-level A system is simulated numerically and optimized. Almost complete population transfer from |1〉 to |3〉 is achieved by a genetic algorithm while the population in state |2〉 reached minimum over the entire evolution at the same time. The result shows that the optimal pulse sequence is the well-known stimulated Raman adiabatic passage (STIRAP) scheme. The detuning of pump pulse and Stokes pulse △p and △s with the opposite sign and the chirps χp and χs with the same sign are in favour of the complete and robust population transfer for few-cycle laser pulse. Rabi frequencies Ωp and Ωs have insensitive effects on the complete population transfer during a large scope of their ratio when they are large enough.

  14. A Low-Complexity PTS Based on Greedy and Genetic Algorithm for OFDM Systems

    Institute of Scientific and Technical Information of China (English)

    LUO Renze; ZHANG Chengsen; NIU Na; LI Rui

    2015-01-01

    Partial transmit sequence (PTS) is one of eff ective technique to reduce high Peak-to-average power ratio (PAPR) in Orthogonal frequency division multiplex-ing (OFDM) system. However, the complexity of Original PTS (O-PTS) increases exponentially with the number of sub-blocks. To reduce the computational complexity while still off ering a lower PAPR, a new PTS method is pro-posed to search for suboptimal rotating vectors in this pa-per. In the proposed method, the candidate rotation vec-tors are generated based on greedy and genetic algorithm. We also combine the proposed method and the superim-posed training sequence method to get a further PAPR reduction. The theory and simulations results show that the proposed method can achieve better PAPR reduction and significantly reduce the computational complexity.

  15. Towards a formal design model based on a genetic design model system

    DEFF Research Database (Denmark)

    Storga, Mario; Andreasen, Mogens Myrup; Marjanovic, Dorian

    2005-01-01

    . In this article, we briefly summarize our experience of converting informal definitions of the concepts from the product development domain based on the existing theoretical background into formal design model. As a main data source for extracting the content of a design ontology, Genetic Design Model System......The research presented in this article is aimed to the investigation of the nature, building and practical role of a Design Ontology as a potential framework for the more efficient product development data-, information- and knowledge- description, -explanation, -understanding and -reusing...... by IEEE, provides us definitions for the most general and universal concepts, that we used in our research for derivation of terms definitions and axioms in the Design Ontology. The Design Ontology was evaluated using the OntoEdit® ontology engineering environment, on a real product example, and based...

  16. Landscape genetics informs mesohabitat preference and conservation priorities for a surrogate indicator species in a highly fragmented river system.

    Science.gov (United States)

    Lean, J; Hammer, M P; Unmack, P J; Adams, M; Beheregaray, L B

    2017-04-01

    Poor dispersal species represent conservative benchmarks for biodiversity management because they provide insights into ecological processes influenced by habitat fragmentation that are less evident in more dispersive organisms. Here we used the poorly dispersive and threatened river blackfish (Gadopsis marmoratus) as a surrogate indicator system for assessing the effects of fragmentation in highly modified river basins and for prioritizing basin-wide management strategies. We combined individual, population and landscape-based approaches to analyze genetic variation in samples spanning the distribution of the species in Australia's Murray-Darling Basin, one of the world's most degraded freshwater systems. Our results indicate that G. marmoratus displays the hallmark of severe habitat fragmentation with notably scattered, small and demographically isolated populations with very low genetic diversity-a pattern found not only between regions and catchments but also between streams within catchments. By using hierarchically nested population sampling and assessing relationships between genetic uniqueness and genetic diversity across populations, we developed a spatial management framework that includes the selection of populations in need of genetic rescue. Landscape genetics provided an environmental criterion to identify associations between landscape features and ecological processes. Our results further our understanding of the impact that habitat quality and quantity has on habitat specialists with similarly low dispersal. They should also have practical applications for prioritizing both large- and small-scale conservation management actions for organisms inhabiting highly fragmented ecosystems.

  17. Bayesian network reconstruction using systems genetics data: comparison of MCMC methods.

    Science.gov (United States)

    Tasaki, Shinya; Sauerwine, Ben; Hoff, Bruce; Toyoshiba, Hiroyoshi; Gaiteri, Chris; Chaibub Neto, Elias

    2015-04-01

    Reconstructing biological networks using high-throughput technologies has the potential to produce condition-specific interactomes. But are these reconstructed networks a reliable source of biological interactions? Do some network inference methods offer dramatically improved performance on certain types of networks? To facilitate the use of network inference methods in systems biology, we report a large-scale simulation study comparing the ability of Markov chain Monte Carlo (MCMC) samplers to reverse engineer Bayesian networks. The MCMC samplers we investigated included foundational and state-of-the-art Metropolis-Hastings and Gibbs sampling approaches, as well as novel samplers we have designed. To enable a comprehensive comparison, we simulated gene expression and genetics data from known network structures under a range of biologically plausible scenarios. We examine the overall quality of network inference via different methods, as well as how their performance is affected by network characteristics. Our simulations reveal that network size, edge density, and strength of gene-to-gene signaling are major parameters that differentiate the performance of various samplers. Specifically, more recent samplers including our novel methods outperform traditional samplers for highly interconnected large networks with strong gene-to-gene signaling. Our newly developed samplers show comparable or superior performance to the top existing methods. Moreover, this performance gain is strongest in networks with biologically oriented topology, which indicates that our novel samplers are suitable for inferring biological networks. The performance of MCMC samplers in this simulation framework can guide the choice of methods for network reconstruction using systems genetics data.

  18. Systems Genetics Identifies a Novel Regulatory Domain of Amylose Synthesis1[OPEN

    Science.gov (United States)

    Parween, Sabiha; Samson, Irene; de Guzman, Krishna; Alhambra, Crisline Mae; Misra, Gopal

    2017-01-01

    A deeper understanding of the regulation of starch biosynthesis in rice (Oryza sativa) endosperm is crucial in tailoring digestibility without sacrificing grain quality. In this study, significant association peaks on chromosomes 6 and 7 were identified through a genomewide association study (GWAS) of debranched starch structure from grains of a 320 indica rice diversity panel using genotyping data from the high-density rice array. A systems genetics approach that interrelates starch structure data from GWAS to functional pathways from a gene regulatory network identified known genes with high correlation to the proportion of amylose and amylopectin. An SNP in the promoter region of Granule Bound Starch Synthase I was identified along with seven other SNPs to form haplotypes that discriminate samples into different phenotypic ranges of amylose. A GWAS peak on chromosome 7 between LOC_Os07g11020 and LOC_Os07g11520 indexed by a nonsynonymous SNP mutation on exon 5 of a bHLH transcription factor was found to elevate the proportion of amylose at the expense of reduced short-chain amylopectin. Linking starch structure with starch digestibility by determining the kinetics of cooked grain amylolysis of selected haplotypes revealed strong association of starch structure with estimated digestibility kinetics. Combining all results from grain quality genomics, systems genetics, and digestibility phenotyping, we propose target haplotypes for fine-tuning starch structure in rice through marker-assisted breeding that can be used to alter the digestibility of rice grain, thus offering rice consumers a new diet-based intervention to mitigate the impact of nutrition-related noncommunicable diseases. PMID:27881726

  19. System network planning expansion using mathematical programming, genetic algorithms and tabu search

    Energy Technology Data Exchange (ETDEWEB)

    Sadegheih, A. [Department of Industrial Engineering, University of Yazd, P.O. Box 89195-741, Yazd (Iran); Drake, P.R. [E-Business and Operations Management Division, University of Liverpool Management School, University of Liverpool, Liverpool (United Kingdom)

    2008-06-15

    In this paper, system network planning expansion is formulated for mixed integer programming, a genetic algorithm (GA) and tabu search (TS). Compared with other optimization methods, GAs are suitable for traversing large search spaces, since they can do this relatively rapidly and because the use of mutation diverts the method away from local minima, which will tend to become more common as the search space increases in size. GA's give an excellent trade off between solution quality and computing time and flexibility for taking into account specific constraints in real situations. TS has emerged as a new, highly efficient, search paradigm for finding quality solutions to combinatorial problems. It is characterized by gathering knowledge during the search and subsequently profiting from this knowledge. The attractiveness of the technique comes from its ability to escape local optimality. The cost function of this problem consists of the capital investment cost in discrete form, the cost of transmission losses and the power generation costs. The DC load flow equations for the network are embedded in the constraints of the mathematical model to avoid sub-optimal solutions that can arise if the enforcement of such constraints is done in an indirect way. The solution of the model gives the best line additions and also provides information regarding the optimal generation at each generation point. This method of solution is demonstrated on the expansion of a 10 bus bar system to 18 bus bars. Finally, a steady-state genetic algorithm is employed rather than generational replacement, also uniform crossover is used. (author)

  20. Genetically distinct pathways guide effector export through the type VI secretion system.

    Science.gov (United States)

    Whitney, John C; Beck, Christina M; Goo, Young Ah; Russell, Alistair B; Harding, Brittany N; De Leon, Justin A; Cunningham, David A; Tran, Bao Q; Low, David A; Goodlett, David R; Hayes, Christopher S; Mougous, Joseph D

    2014-05-01

    Bacterial secretion systems often employ molecular chaperones to recognize and facilitate export of their substrates. Recent work demonstrated that a secreted component of the type VI secretion system (T6SS), haemolysin co-regulated protein (Hcp), binds directly to effectors, enhancing their stability in the bacterial cytoplasm. Herein, we describe a quantitative cellular proteomics screen for T6S substrates that exploits this chaperone-like quality of Hcp. Application of this approach to the Hcp secretion island I-encoded T6SS (H1-T6SS) of Pseudomonas aeruginosa led to the identification of a novel effector protein, termed Tse4 (type VI secretion exported 4), subsequently shown to act as a potent intra-specific H1-T6SS-delivered antibacterial toxin. Interestingly, our screen failed to identify two predicted H1-T6SS effectors, Tse5 and Tse6, which differ from Hcp-stabilized substrates by the presence of toxin-associated PAAR-repeat motifs and genetic linkage to members of the valine-glycine repeat protein G (vgrG) genes. Genetic studies further distinguished these two groups of effectors: Hcp-stabilized effectors were found to display redundancy in interbacterial competition with respect to the requirement for the two H1-T6SS-exported VgrG proteins, whereas Tse5 and Tse6 delivery strictly required a cognate VgrG. Together, we propose that interaction with either VgrG or Hcp defines distinct pathways for T6S effector export.

  1. 42 CFR 22.1 - Duty at a station of the Service devoted to the care of Hansen's disease patients; additional pay.

    Science.gov (United States)

    2010-10-01

    ... care of Hansen's disease patients; additional pay. 22.1 Section 22.1 Public Health PUBLIC HEALTH... Hansen's Disease Duty by Personnel Other Than Commissioned Officers § 22.1 Duty at a station of the Service devoted to the care of Hansen's disease patients; additional pay. (a) Non-commissioned officers...

  2. The birth and evolution of a discipline devoted to information in biomedicine and health care. As reflected in its longest running journal.

    Science.gov (United States)

    McCray, A T; Gefeller, O; Aronsky, D; Leong, T Y; Sarkar, I N; Bergemann, D; Lindberg, D A B; van Bemmel, J H; Haux, R

    2011-01-01

    The journal Methods of Information in Medicine, founded in 1962, has now completed its 50th volume. Its publications during the last five decades reflect the formation of a discipline that deals with information in biomedicine and health care. To report about 1) the journal's origin, 2) the individuals who have significantly contributed to it, 3) trends in the journal's aims and scope, 4) influential papers and 5) major topics published in Methods over the years. Methods included analysing the correspondence and journal issues in the archives of the editorial office and of the publisher, citation analysis using the ISI and Scopus databases, and analysing the articles' Medical Subject Headings (MeSH) in MEDLINE. In the journal's first 50 years 208 editorial board members and/or editors contributed to the journal's development, with most individuals coming from Europe and North America. The median time of service was 11 years. At the time of analysis 2,456 articles had been indexed with MeSH. Topics included computerized systems of various types, informatics methodologies, and topics related to a specific medical domain. Some MeSH topic entries were heavily and regularly represented in each of the journal's five decades (e.g. information systems and medical records), while others were important in a particular decade, but not in other decades (e.g. punched-card systems and systems integration). Seven papers were cited more than 100 times and these also covered a broad range of themes such as knowledge representation, analysis of biomedical data and knowledge, clinical decision support and electronic patient records. Methods of Information in Medicine is the oldest international journal in biomedical informatics. The journal's development over the last 50 years correlates with the formation of this new discipline. It has and continues to stress the basic methodology and scientific fundamentals of organizing, representing and analysing data, information and knowledge

  3. Structural Equation Model Analyze of Antecedent Factors of Researcher's Devotion%科研动机前置因素结构方程模型分析

    Institute of Scientific and Technical Information of China (English)

    张剑虹

    2013-01-01

    Base on self Cognitive Motivation Theory, we put forward interior factors and exterior factors which impact researcher's devotion. A structural equation model was developed and we proved interior factors and exterior factor played multilevel action to re-searcher's devotion. That is to research the effect of researcher's devotion which is divided into two parts: the first part for exterior fac-tors, including scientific research leader, research policy, team atmosphere and hardware support, this part plays a support role, not only the researcher's devotion influence directly, but also through the internal factors on the researcher's devotion indirectly play a role. The second part for internal factors, including job satisfaction, self-realization and business ability, this part of the researcher's devo-tion plays a direct role. Suggestion that how we can stimulate researcher's devotion from interior factors and exterior factors is provided to the enterprisers in the end of the article.%  本文在对“自我决定认知动机理论”充分剖析的基础上,提出了科研人员科研动机的前置内部因素和外部因素。通过构建内外部因素与科研动机的结构方程模型,并采用实证数据验证,证实了内外部因素对科研动机的多层次影响,即在对科研动机产生影响的前置因素中共分为两个层次:第一层次为外部因素,包括科研带头人、科研政策、团队氛围和硬件支持,这部分对科研动机的调动起到支持作用,既对科研动机产生直接影响,也通过内在因素对科研动机起到间接作用;第二层次为内部因素,包括工作满意、自我实现和业务能力,这部分对科研动机的激发起到直接作用。文章最后就如何从内外两方面因素激发科研人员的科研动机,为科研单位提出了有价值的管理建议。

  4. The Genetic Determinism of Biochemical Systems Polymorphous From the Blood Serum in Pigs

    Directory of Open Access Journals (Sweden)

    Nicoleta Işfan

    2010-05-01

    Full Text Available The study of genetic markers and identification of new markers make the subject of an increasing number of research projects in various fields such as genetics of immunology, biochemical genetics, molecular genetics, quantitative genetics and the genetic amelioration of animals. The information provided by electrophoresis graphs has been used to determine the frequency of various categories of alleles (for the loci of pre-albumin, transferines and serum amylases, the frequency of various phenotypes and the genetic structure for each and every locus and, simultaneously, for the loci being studied. The discussion over the varieties of serum proteins was carried on for the purpose of using them as genetic markers, in order to appreciate the levels of genetic unity or diversity within the stock of swine that has been studied. A pair of simple alleles has been determined for each of the three loci. When the three loci were studied simultaneously, out of the 27 possible combinations, only 15 have been found. The sample studied has found to be genetically balanced for every of the three loci. However, when the simultaneous study has been applied, the same sample has not been found genetically balanced.

  5. An Improved Genetic Algorithm for Optimal Stationary Energy Storage System Locating and Sizing

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    Bin Wang

    2014-10-01

    Full Text Available The application of a stationary ultra-capacitor energy storage system (ESS in urban rail transit allows for the recuperation of vehicle braking energy for increasing energy savings as well as for a better vehicle voltage profile. This paper aims to obtain the best energy savings and voltage profile by optimizing the location and size of ultra-capacitors. This paper firstly raises the optimization objective functions from the perspectives of energy savings, regenerative braking cancellation and installation cost, respectively. Then, proper mathematical models of the DC (direct current traction power supply system are established to simulate the electrical load-flow of the traction supply network, and the optimization objections are evaluated in the example of a Chinese metro line. Ultimately, a methodology for optimal ultra-capacitor energy storage system locating and sizing is put forward based on the improved genetic algorithm. The optimized result shows that certain preferable and compromised schemes of ESSs’ location and size can be obtained, acting as a compromise between satisfying better energy savings, voltage profile and lower installation cost.

  6. The Role of the Endocannabinoid System and Genetic Variation in Adolescent Brain Development.

    Science.gov (United States)

    Meyer, Heidi C; Lee, Francis S; Gee, Dylan G

    2017-07-07

    During adolescence, both rodent and human studies have revealed dynamic changes in the developmental trajectories of corticolimbic structures, which are known to contribute to the regulation of fear and anxiety-related behaviors. The endocannabinoid (eCB) system critically regulates stress responsivity and anxiety throughout the life span. Emerging evidence suggests that during adolescence, changes in eCB signaling contribute to the maturation of local and corticolimbic circuit populations of neurons, such as mediating the balance between excitatory and inhibitory neurotransmission within the prefrontal cortex. This function of the eCB system facilitates efficient communication within and between brain regions and serves a central role in establishing complex and adaptive cognitive and behavioral processing. Although these peri-adolescent changes in eCB signaling promote brain development and plasticity, they also render this period a particularly sensitive one for environmental perturbations to these normative fluctuations in eCB signaling, such as stress, potentially leading to altered developmental trajectories of neural circuits governing emotional behaviors. In this review, we focus on the role of eCB signaling on the regulation of stress and anxiety-related behaviors both during and after adolescence. Moreover, we discuss the functional implications of human genetic variation in the eCB system for the risk for anxiety and consequences of stress across development and into adulthood.Neuropsychopharmacology advance online publication, 2 August 2017; doi:10.1038/npp.2017.143.

  7. TID and I-TD controller design for magnetic levitation system using genetic algorithm

    Directory of Open Access Journals (Sweden)

    Debdoot Sain

    2016-09-01

    Full Text Available This article is about the design of controllers for magnetic levitation (Maglev system in both simulation and real time. Local linearization around the equilibrium point has been done for the nonlinear Maglev system to obtain a linearized model transfer function. In this study, the design of integral-tilted-derivative (I-TD controller has been proposed for the Maglev system and its performance is compared with conventional tilted-integral-derivative (TID controller. In this study, TID controller parameters have been optimized through genetic algorithm (GA and those set of values have been employed for the design of I-TD controller. A performance comparison between TID and I-TD controller is then investigated. The analysis shows the superiority of I-TD controller over TID controller in terms of maximum overshoot, gain margin and phase margin. The settling time remains almost same in both the cases. In future, a detailed study of robustness in presence of model uncertainties will be incorporated as a scope of further research.

  8. Markov chains and entropy tests in genetic-based lithofacies analysis of deep-water clastic depositional systems

    Directory of Open Access Journals (Sweden)

    Borka Szabolcs

    2016-01-01

    Full Text Available The aim of this study was to examine the relationship between structural elements and the so-called genetic lithofacies in a clastic deep-water depositional system. Process-sedimentology has recently been gaining importance in the characterization of these systems. This way the recognized facies attributes can be associated with the depositional processes establishing the genetic lithofacies. In this paper this approach was presented through a case study of a Tertiary deep-water sequence of the Pannonian-basin.

  9. Management of Uncertainty by Statistical Process Control and a Genetic Tuned Fuzzy System

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    Stephan Birle

    2016-01-01

    Full Text Available In food industry, bioprocesses like fermentation often are a crucial part of the manufacturing process and decisive for the final product quality. In general, they are characterized by highly nonlinear dynamics and uncertainties that make it difficult to control these processes by the use of traditional control techniques. In this context, fuzzy logic controllers offer quite a straightforward way to control processes that are affected by nonlinear behavior and uncertain process knowledge. However, in order to maintain process safety and product quality it is necessary to specify the controller performance and to tune the controller parameters. In this work, an approach is presented to establish an intelligent control system for oxidoreductive yeast propagation as a representative process biased by the aforementioned uncertainties. The presented approach is based on statistical process control and fuzzy logic feedback control. As the cognitive uncertainty among different experts about the limits that define the control performance as still acceptable may differ a lot, a data-driven design method is performed. Based upon a historic data pool statistical process corridors are derived for the controller inputs control error and change in control error. This approach follows the hypothesis that if the control performance criteria stay within predefined statistical boundaries, the final process state meets the required quality definition. In order to keep the process on its optimal growth trajectory (model based reference trajectory a fuzzy logic controller is used that alternates the process temperature. Additionally, in order to stay within the process corridors, a genetic algorithm was applied to tune the input and output fuzzy sets of a preliminarily parameterized fuzzy controller. The presented experimental results show that the genetic tuned fuzzy controller is able to keep the process within its allowed limits. The average absolute error to the

  10. Loads bias genetic and signaling switches in synthetic and natural systems.

    Directory of Open Access Journals (Sweden)

    Samanthe M Lyons

    2014-03-01

    Full Text Available Biological protein interactions networks such as signal transduction or gene transcription networks are often treated as modular, allowing motifs to be analyzed in isolation from the rest of the network. Modularity is also a key assumption in synthetic biology, where it is similarly expected that when network motifs are combined together, they do not lose their essential characteristics. However, the interactions that a network module has with downstream elements change the dynamical equations describing the upstream module and thus may change the dynamic and static properties of the upstream circuit even without explicit feedback. In this work we analyze the behavior of a ubiquitous motif in gene transcription and signal transduction circuits: the switch. We show that adding an additional downstream component to the simple genetic toggle switch changes its dynamical properties by changing the underlying potential energy landscape, and skewing it in favor of the unloaded side, and in some situations adding loads to the genetic switch can also abrogate bistable behavior. We find that an additional positive feedback motif found in naturally occurring toggle switches could tune the potential energy landscape in a desirable manner. We also analyze autocatalytic signal transduction switches and show that a ubiquitous positive feedback switch can lose its switch-like properties when connected to a downstream load. Our analysis underscores the necessity of incorporating the effects of downstream components when understanding the physics of biochemical network motifs, and raises the question as to how these effects are managed in real biological systems. This analysis is particularly important when scaling synthetic networks to more complex organisms.

  11. Loads bias genetic and signaling switches in synthetic and natural systems.

    Science.gov (United States)

    Lyons, Samanthe M; Xu, Wenlong; Medford, June; Prasad, Ashok

    2014-03-01

    Biological protein interactions networks such as signal transduction or gene transcription networks are often treated as modular, allowing motifs to be analyzed in isolation from the rest of the network. Modularity is also a key assumption in synthetic biology, where it is similarly expected that when network motifs are combined together, they do not lose their essential characteristics. However, the interactions that a network module has with downstream elements change the dynamical equations describing the upstream module and thus may change the dynamic and static properties of the upstream circuit even without explicit feedback. In this work we analyze the behavior of a ubiquitous motif in gene transcription and signal transduction circuits: the switch. We show that adding an additional downstream component to the simple genetic toggle switch changes its dynamical properties by changing the underlying potential energy landscape, and skewing it in favor of the unloaded side, and in some situations adding loads to the genetic switch can also abrogate bistable behavior. We find that an additional positive feedback motif found in naturally occurring toggle switches could tune the potential energy landscape in a desirable manner. We also analyze autocatalytic signal transduction switches and show that a ubiquitous positive feedback switch can lose its switch-like properties when connected to a downstream load. Our analysis underscores the necessity of incorporating the effects of downstream components when understanding the physics of biochemical network motifs, and raises the question as to how these effects are managed in real biological systems. This analysis is particularly important when scaling synthetic networks to more complex organisms.

  12. Evidence of new risk genetic factor to systemic lupus erythematosus: the UBASH3A gene.

    Directory of Open Access Journals (Sweden)

    Lina-Marcela Diaz-Gallo

    Full Text Available The ubiquitin associated and Src-homology 3 (SH3 domain containing A (UBASH3a is a suppressor of T-cell receptor signaling, underscoring antigen presentation to T-cells as a critical shared mechanism of diseases pathogenesis. The aim of the present study was to determine whether the UBASH3a gene influence the susceptibility to systemic lupus erythematosus (SLE in Caucasian populations. We evaluated five UBASH3a polymorphisms (rs2277798, rs2277800, rs9976767, rs13048049 and rs17114930, using TaqMan® allelic discrimination assays, in a discovery cohort that included 906 SLE patients and 1165 healthy controls from Spain. The SNPs that exhibit statistical significance difference were evaluated in a German replication cohort of 360 SLE patients and 379 healthy controls. The case-control analysis in the Spanish population showed a significant association between the rs9976767 and SLE (Pc = 9.9E-03 OR = 1.21 95%CI = 1.07-1.37 and a trend of association for the rs2277798 analysis (P = 0.09 OR = 0.9 95%CI = 0.79-1.02. The replication in a German cohort and the meta-analysis confirmed that the rs9976767 (Pc = 0.02; Pc = 2.4E-04, for German cohort and meta-analysis, respectively and rs2277798 (Pc = 0.013; Pc = 4.7E-03, for German cohort and meta-analysis, respectively UBASH3a variants are susceptibility factors for SLE. Finally, a conditional regression analysis suggested that the most likely genetic variation responsible for the association was the rs9976767 polymorphism. Our results suggest that UBASH3a gene plays a role in the susceptibility to SLE. Moreover, our study indicates that UBASH3a can be considered as a common genetic factor in autoimmune diseases.

  13. Renin-angiotensin system genetic polymorphisms and brain white matter lesions in older Australians.

    Science.gov (United States)

    Assareh, Amelia A; Mather, Karen A; Crawford, John D; Wen, Wei; Anstey, Kaarin J; Easteal, Simon; Tan, Xiaoyun; Mack, Holly A; Kwok, John B J; Schofield, Peter R; Sachdev, Perminder S

    2014-09-01

    White matter lesions (WMLs), seen as hyperintensities on T2-weighted magnetic resonance imaging brain scans, are common in the brains of healthy older individuals. They are thought to be related to cerebral small vessel disease and to have a genetic component to their aetiology, and hypertension is thought to be an important risk factor. Genetic polymorphisms in hypertension-related genes may therefore be associated with the formation of WMLs. In this study, a sample of 445 Australians aged 60-65 years was drawn from a larger longitudinal epidemiological study, the Personality and Total Health Through Life Project. The associations of single nucleotide polymorphisms (SNPs) in the genes encoding angiotensinogen (AGT, rs699), angiotensin-converting enzyme (ACE, rs4362), and angiotensin II receptor type 1 (AGTR1, rs5182) with WMLs were examined. No individual SNPs showed a significant association with WMLs for the whole sample. When the cohort was stratified by sex, ACE rs4362 and AGT rs699 showed significant associations with WMLs in men only (P = 0.01 and P = 0.03, respectively), and remained significant after controlling for hypertension. Although the AGTR1 SNP did not show any association with WMLs, the interaction of the AGT rs699 and AGTR1 rs5182 SNPs with WMLs was significant before (P = 0.03) and after adjustment for hypertension (P = 0.045). The results provide evidence for association of polymorphisms in the renin-angiotensin system genes with WMLs, independent of hypertension. Male-only associations with WMLs were found for the AGT rs699 and ACE rs362 polymorphisms. Moreover, for the entire sample an interaction between AGT and AGTR1 rs5182 genotypes on WMLs was observed. © American Journal of Hypertension, Ltd 2014. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  14. Optimizing a Multi-Channel ANC System for Broadband Noise Cancellation in a Telephone Kiosk Using Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    Allahyar Montazeri

    2009-01-01

    Full Text Available The problem of optimizing an active noise control system for the implementation of a multi-channel ANC system with the aim of global reduction of broadband noise in a telephone kiosk is addressed in this paper. This optimization involves finding best locations for loudspeakers and microphones, and optimizing control signals. The problem of finding a proper size for control system, i.e. the number of loudspeakers and microphones involved in the control system is also investigated. The mean of acoustic potential energy in the enclosure in a frequency range of 50 Hz to 300 Hz is selected as a measure for optimization. Several genetic algorithms are proposed and compared to find the global minimum of this performance index. In order to have a better performance in reaching the global minimum, the parameters of these genetic algorithms are tuned, and the best genetic algorithm is selected among them. Numerical simulations of the acoustical potential energy and also sound pressure at the height where the head of a person may be located, confirms the optimality of the locations proposed by the genetic algorithm. Besides, the robustness of the optimized control system with respect to eventual changes in the location of primary and secondary loudspeakers and also microphones is shown with several simulations.

  15. Development of a multi-objective scheduling system for offshore projects based on hybrid non-dominated sorting genetic algorithm

    Directory of Open Access Journals (Sweden)

    Jinghua Li

    2015-03-01

    Full Text Available In order to enhance the efficiency of offshore companies, a multi-objective scheduling system based on hybrid non-dominated sorting genetic algorithm was proposed. An optimized model for multi-objective and multi-execution mode was constructed under the condition of taking time, cost, and resource into account, and then the mathematical model for the same was established. Moreover, the key techniques of the proposed system were elaborated, and the flowchart was designed. Aiming at the weaknesses of non-dominated sorting genetic algorithm which is short for non-dominated sorting genetic algorithm-II in the facet of local search and computational efficiency, Pareto-dominated simulated annealing algorithm was applied in search global solution. Finally, by simulation examples and industrial application, the robustness and outperformance of the improved algorithm were verified.

  16. Control parameter optimal tuning method based on annealing-genetic algorithm for complex electromechanical system

    Institute of Scientific and Technical Information of China (English)

    贺建军; 喻寿益; 钟掘

    2003-01-01

    A new searching algorithm named the annealing-genetic algorithm(AGA) was proposed by skillfully merging GA with SAA. It draws on merits of both GA and SAA ,and offsets their shortcomings. The difference from GA is that AGA takes objective function as adaptability function directly, so it cuts down some unnecessary time expense because of float-point calculation of function conversion. The difference from SAA is that AGA need not execute a very long Markov chain iteration at each point of temperature, so it speeds up the convergence of solution and makes no assumption on the search space,so it is simple and easy to be implemented. It can be applied to a wide class of problems. The optimizing principle and the implementing steps of AGA were expounded. The example of the parameter optimization of a typical complex electromechanical system named temper mill shows that AGA is effective and superior to the conventional GA and SAA. The control system of temper mill optimized by AGA has the optimal performance in the adjustable ranges of its parameters.

  17. Auto-score system to optimize OPC recipe parameters using genetic algorithm

    Science.gov (United States)

    Cao, Liang; Asthana, Abhishek; Ning, Guoxiang; Feng, Jui-Hsuan; Zhang, Jie; Wilkinson, William

    2016-10-01

    The ever increasing pattern densities and design complexities make the tuning of optical proximity correction (OPC) recipes more challenging. There are various recipe tuning methods to meet the challenge, such as genetic algorithm (GA), simulated annealing, and OPC software vendor provided recipe optimizers. However, these methodologies usually only consider edge placement errors (EPEs). Therefore, these techniques may not provide adequate freedom to solve unique problems at special geometries, for example bridge, pinch, and process variation band related violations at complex 2D geometries. This paper introduces a general methodology to fix specific problems identified at the OPC verification stage and demonstrates its successful application to two test-cases. The algorithm and method of the automatic scoring system is introduced in order to identify and prioritize the problems that need to be fixed based on severity, with the POR recipe score used as the baseline reference. A GA optimizer, whose objective function is based on the scoring system, is applied to tune the OPC recipe parameters to optimum condition after generations of selections. The GA optimized recipe would be compared to existing recipe to quantify the amount of improvement. This technique was subsequently applied to eliminate certain chronic OPC verification problems which were encountered in the past. Though the benefits have been demonstrated for limited test cases, employing this technique more universally will enable users to efficiently reduce the number of OPC verification violations and provide robust OPC solutions.

  18. A drug-sensitive genetic network masks fungi from the immune system.

    Directory of Open Access Journals (Sweden)

    Robert T Wheeler

    2006-04-01

    Full Text Available Fungal pathogens can be recognized by the immune system via their beta-glucan, a potent proinflammatory molecule that is present at high levels but is predominantly buried beneath a mannoprotein coat and invisible to the host. To investigate the nature and significance of "masking" this molecule, we characterized the mechanism of masking and consequences of unmasking for immune recognition. We found that the underlying beta-glucan in the cell wall of Candida albicans is unmasked by subinhibitory doses of the antifungal drug caspofungin, causing the exposed fungi to elicit a stronger immune response. Using a library of bakers' yeast (Saccharomyces cerevisiae mutants, we uncovered a conserved genetic network that is required for concealing beta-glucan from the immune system and limiting the host response. Perturbation of parts of this network in the pathogen C. albicans caused unmasking of its beta-glucan, leading to increased beta-glucan receptor-dependent elicitation of key proinflammatory cytokines from primary mouse macrophages. By creating an anti-inflammatory barrier to mask beta-glucan, opportunistic fungi may promote commensal colonization and have an increased propensity for causing disease. Targeting the widely conserved gene network required for creating and maintaining this barrier may lead to novel broad-spectrum antimycotics.

  19. Streptomyces temperate bacteriophage integration systems for stable genetic engineering of actinomycetes (and other organisms).

    Science.gov (United States)

    Baltz, Richard H

    2012-05-01

    ϕC31, ϕBT1, R4, and TG1 are temperate bacteriophages with broad host specificity for species of the genus Streptomyces. They form lysogens by integrating site-specifically into diverse attB sites located within individual structural genes that map to the conserved core region of streptomycete linear chromosomes. The target genes containing the ϕC31, ϕBT1, R4, and TG1 attB sites encode a pirin-like protein, an integral membrane protein, an acyl-CoA synthetase, and an aminotransferase, respectively. These genes are highly conserved within the genus Streptomyces, and somewhat conserved within other actinomycetes. In each case, integration is mediated by a large serine recombinase that catalyzes unidirectional recombination between the bacteriophage attP and chromosomal attB sites. The unidirectional nature of the integration mechanism has been exploited in genetic engineering to produce stable recombinants of streptomycetes, other actinomycetes, eucaryotes, and archaea. The ϕC31 attachment/integration (Att/Int) system has been the most widely used, and it has been coupled with the ϕBT1 Att/Int system to facilitate combinatorial biosynthesis of novel lipopeptide antibiotics in Streptomyces fradiae.

  20. A Genetically Optimized Predictive System for Success in General Chemistry Using a Diagnostic Algebra Test

    Science.gov (United States)

    Cooper, Cameron I.; Pearson, Paul T.

    2012-02-01

    In higher education, many high-enrollment introductory courses have evolved into "gatekeeper" courses due to their high failure rates. These courses prevent many students from attaining their educational goals and often become graduation roadblocks. At the authors' home institution, general chemistry has become a gatekeeper course in which approximately 25% of students do not pass. This failure rate in chemistry is common, and often higher, at many other institutions of higher education, and mathematical deficiencies are perceived to be a large contributing factor. This paper details the development of a highly accurate predictive system that identifies students at the beginning of the semester who are "at-risk" for earning a grade of C- or below in chemistry. The predictive accuracy of this system is maximized by using a genetically optimized neural network to analyze the results of a diagnostic algebra test designed for a specific population. Once at-risk students have been identified, they can be helped to improve their chances of success using techniques such as concurrent support courses, online tutorials, "just-in-time" instructional aides, study skills, motivational interviewing, and/or peer mentoring.

  1. DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM

    Directory of Open Access Journals (Sweden)

    Abdorahim Jamal

    2016-09-01

    Full Text Available Transient flow control in Water Transmission Systems (WTS is one of the requirements of designing these systems. Hence, among control equipment, air chambers offer the best solution to control transient flow effects, i.e. both prevents water column separation and absorbs pressure increase. It is essential to carry out an accurate and optimized design of air chambers, not only due to high costs of their manufacturing but also their important protective role. Accordingly, hydraulic design parameters comprise tank volume, diameter of nozzle and coefficients of inflow and outflow of nozzle. In this paper, it is intended to optimize these parameters in order to minimize manufacturing costs. On the other hand, maximum and minimum pressures in main pipeline are considered as constraints which shall fall in allowed range. Therefore, a model has been developed which is a combination of a hydraulic simulation model of WTS and an optimization model based on genetic algorithm. This model is first applied to WTS of Dehgolan-Ghorveh plain as a case study. Results of this research demonstrate that based on suggested model, negative wave creation and pressure increase in pipeline is prevented as well as decrease in manufacturing costs of air chamber.

  2. Genetic dissection of pheromone processing reveals main olfactory system-mediated social behaviors in mice.

    Science.gov (United States)

    Matsuo, Tomohiko; Hattori, Tatsuya; Asaba, Akari; Inoue, Naokazu; Kanomata, Nobuhiro; Kikusui, Takefumi; Kobayakawa, Reiko; Kobayakawa, Ko

    2015-01-20

    Most mammals have two major olfactory subsystems: the main olfactory system (MOS) and vomeronasal system (VNS). It is now widely accepted that the range of pheromones that control social behaviors are processed by both the VNS and the MOS. However, the functional contributions of each subsystem in social behavior remain unclear. To genetically dissociate the MOS and VNS functions, we established two conditional knockout mouse lines that led to either loss-of-function in the entire MOS or in the dorsal MOS. Mice with whole-MOS loss-of-function displayed severe defects in active sniffing and poor survival through the neonatal period. In contrast, when loss-of-function was confined to the dorsal MOB, sniffing behavior, pheromone recognition, and VNS activity were maintained. However, defects in a wide spectrum of social behaviors were observed: attraction to female urine and the accompanying ultrasonic vocalizations, chemoinvestigatory preference, aggression, maternal behaviors, and risk-assessment behaviors in response to an alarm pheromone. Functional dissociation of pheromone detection and pheromonal induction of behaviors showed the anterior olfactory nucleus (AON)-regulated social behaviors downstream from the MOS. Lesion analysis and neural activation mapping showed pheromonal activation in multiple amygdaloid and hypothalamic nuclei, important regions for the expression of social behavior, was dependent on MOS and AON functions. Identification of the MOS-AON-mediated pheromone pathway may provide insights into pheromone signaling in animals that do not possess a functional VNS, including humans.

  3. [Influence of salt stress on the genetically polymorphic system of Sinorhizobium meliloti-Medicago truncatula].

    Science.gov (United States)

    Kurchak, O N; Provorov, N A; Onishchuk, O P; Vorobyov, N I; Roumiantseva, M L; Simarov, B V

    2014-07-01

    The impacts of salt stress (75 mM NaC1) on the ecological efficiency of the genetically polymorphic Sinorhizobium meliloti-Medicago truncatula system were studied. Its impact on a symbiotic system results in an increase of the partners' variability for symbiotic traits and of the symbiosis integrity as indicated by: a) the specificity of the partners' interactions--the nonadditive inputs of their genotypes into the variation of symbiotic parameters; and b) the correlative links between these parameters. The structure of the nodDI locus and the content correlates to the efficiency of the symbiosis between S. meliloti and M. truncatula genotypes under stress conditions more sufficiently than in the absence of stress. Correlations between the symbiotic efficiency of rhizobia strains and their growth rate outside symbiosis are expressed under stress conditions, not in the absence of stress. Under salt stress symbiotic effectiveness was decreased for M. truncatula line F83005.5, which was salt sensitive for mineral nutrition. The inhibition of symbiotic activity for this line is linked with decreased nodule formation, whereas for Jemalong 6 and DZA315.16 lines it is associated with repressed N2-fixation. It was demonstrated for the first time that salt stress impairs the M. truncatula habitus (the mass : height ratio increased 2- to 6-fold), which in the salt-resistant cultivar Jemalong 6 is normalized as the result of rhizobia inoculation.

  4. Dynamic Feasible Region Genetic Algorithm for Optimal Operation of a Multi-Reservoir System

    Directory of Open Access Journals (Sweden)

    Bin Xu

    2012-08-01

    Full Text Available Seeking the optimal strategy of a multi-reservoir system is an important approach to develop hydropower energy, in which the Genetic Algorithm (GA is commonly used as an effective tool. However, when the traditional GA is applied in solving the problem, the constraints of water balance equation, hydraulic continuity relationship and power system load demand might be violated by the crossover and mutation operator, which decreases the efficiency of the algorithm in searching for a feasible region or even leads to a convergence on an infeasible chromosome within the expected generations. A modified GA taking stochastic operators within the feasible region of variables is proposed. When determining the feasible region of constraints, the progressive optimal approach is applied to transform constraints imposed on reservoirs into a singular-reservoir constraint, and a joint solution with consideration of adjacent periods at crossover or mutation points is used to turn the singular-reservoir constraints into singular variable constraints. Some statistic indexes are suggested to evaluate the performances of the algorithms. The experimental results show that compared to GA adopting a penalty function or pair-wise comparison in constraint handling, the proposed modified GA improves the refinement of the quality of a solution in a more efficient and robust way.

  5. The genetic-algorithm-enhanced blind system identification for water distribution pipeline leak detection

    Science.gov (United States)

    Yang, Jin; Wen, Yumei; Li, Ping

    2007-07-01

    The conventional leak location is based on the correlation of leak acoustic signals acquired spatially separately. By correlation, the time lag is estimated for localizing the leakage. In these methods, the detection distance is a prerequisite that has to be known beforehand. However, in practice, this prerequisite is not always satisfied. In this case, the correlation-based methods are not feasible. Actually, the acquired signals contain the characteristics related to the acoustic propagation channels; thus the blind system identification strategy is applied to estimate the transmission performances of acoustic channels. Then the times due to the propagation of the leak source signal travelling from the leak point to sensors are determined. In this way, for leak location, the detection distance is no longer a prerequisite. In blind system identification, due to the long impulse responses of the leak acoustic channels, the channels are inevitably ill conditioned and sensitive to the initial values. To overcome the ill conditions, the overlap-save and cross-correlation fitting techniques are utilized to identify the long impulse sequences under a built constraint. In order to avoid converging to the local minima, the genetic algorithm is used to minimize the cost functions. The practical detection results show the validity of the proposed scheme.

  6. Fitness of transgenic mosquito Aedes aegypti males carrying a dominant lethal genetic system.

    Science.gov (United States)

    Massonnet-Bruneel, Blandine; Corre-Catelin, Nicole; Lacroix, Renaud; Lees, Rosemary S; Hoang, Kim Phuc; Nimmo, Derric; Alphey, Luke; Reiter, Paul

    2013-01-01

    OX513A is a transgenic strain of Aedes aegypti engineered to carry a dominant, non-sex-specific, late-acting lethal genetic system that is repressed in the presence of tetracycline. It was designed for use in a sterile-insect (SIT) pest control system called RIDL® (Release of Insects carrying a Dominant Lethal gene) by which transgenic males are released in the field to mate with wild females; in the absence of tetracycline, the progeny from such matings will not survive. We investigated the mating fitness of OX513A in the laboratory. Male OX513A were as effective as Rockefeller (ROCK) males at inducing refractoriness to further mating in wild type females and there was no reduction in their ability to inseminate multiple females. They had a lower mating success but yielded more progeny than the wild-type comparator strain (ROCK) when one male of each strain was caged with a ROCK female. Mating success and fertility of groups of 10 males-with different ratios of RIDL to ROCK-competing for five ROCK females was similar, but the median longevity of RIDL males was somewhat (18%) lower. We conclude that the fitness under laboratory conditions of OX513A males carrying a tetracycline repressible lethal gene is comparable to that of males of the wild-type comparator strain.

  7. Fitness of transgenic mosquito Aedes aegypti males carrying a dominant lethal genetic system.

    Directory of Open Access Journals (Sweden)

    Blandine Massonnet-Bruneel

    Full Text Available OX513A is a transgenic strain of Aedes aegypti engineered to carry a dominant, non-sex-specific, late-acting lethal genetic system that is repressed in the presence of tetracycline. It was designed for use in a sterile-insect (SIT pest control system called RIDL® (Release of Insects carrying a Dominant Lethal gene by which transgenic males are released in the field to mate with wild females; in the absence of tetracycline, the progeny from such matings will not survive. We investigated the mating fitness of OX513A in the laboratory. Male OX513A were as effective as Rockefeller (ROCK males at inducing refractoriness to further mating in wild type females and there was no reduction in their ability to inseminate multiple females. They had a lower mating success but yielded more progeny than the wild-type comparator strain (ROCK when one male of each strain was caged with a ROCK female. Mating success and fertility of groups of 10 males-with different ratios of RIDL to ROCK-competing for five ROCK females was similar, but the median longevity of RIDL males was somewhat (18% lower. We conclude that the fitness under laboratory conditions of OX513A males carrying a tetracycline repressible lethal gene is comparable to that of males of the wild-type comparator strain.

  8. Genetic diversity in commercial wineries: effects of the farming system and vinification management on wine yeasts.

    Science.gov (United States)

    Tello, J; Cordero-Bueso, G; Aporta, I; Cabellos, J M; Arroyo, T

    2012-02-01

    Analysis of the diversity and distribution of wine yeasts isolated from organically and conventionally grown grapes, and during the subsequent fermentation with or without starter cultures in six different commercial wineries. PCR-RFLP screening of isolates revealed the involvement of ten different species. Saccharomyces cerevisiae, scarcely isolated from grapes, was the dominant species during the latter phases of fermentation, identifying 108 different genotypes by means of SSR analysis. Species and strains' diversity and presence were strongly influenced by the farming system used to grow the grapes and the system of vinification. Organic farming management was more beneficial in terms of diversity and abundance than the conventional one. Induced fermentation generated a great replacement of native yeasts. Although winery-resident yeasts resulted to be predominant in the process, some noncommercial strains originally in the vineyard were found in final stages of the fermentation, confirming that autochthonous strains of S. cerevisiae are capable to conduct the fermentation process up to its end. The study of natural yeast communities from commercial vineyards and wineries is an important step towards the preservation of native genetic resources. Our results have special relevance because it is the first time that the real situation of the yeast ecology of alcoholic fermentation in commercial wineries belonging to the relevant wine-producing Appellation of Origin 'Vinos de Madrid' is shown. © 2012 The Authors. Journal of Applied Microbiology © 2012 The Society for Applied Microbiology.

  9. Genetic variations in the serotoninergic system contribute to amygdala volume in humans

    Directory of Open Access Journals (Sweden)

    Jin eLi

    2015-10-01

    Full Text Available The amygdala plays a critical role in emotion processing and psychiatric disorders associated with emotion dysfunction. Accumulating evidence suggests that amygdala structure is modulated by serotonin-related genes. However, there is a gap between the small contributions of single loci (less than 1% and the reported 63-65% heritability of amygdala structure. To understand the missing heritability, we systematically explored the contribution of serotonin genes on amygdala structure at the gene set level. The present study of 417 healthy Chinese volunteers examined 129 representative polymorphisms in genes from multiple biological mechanisms in the regulation of serotonin neurotransmission. A system-level approach using multiple regression analyses identified that nine SNPs collectively accounted for approximately 8% of the variance in amygdala volume. Permutation analyses showed that the probability of obtaining these findings by chance was low (p=0.043, permuted for 1000 times. Findings showed that serotonin genes contribute moderately to individual differences in amygdala volume in a healthy Chinese sample. These results indicate that the system-level approach can help us to understand the genetic basis of a complex trait such as amygdala structure.

  10. A CRISPR-Cas9 sex-ratio distortion system for genetic control.

    Science.gov (United States)

    Galizi, Roberto; Hammond, Andrew; Kyrou, Kyros; Taxiarchi, Chrysanthi; Bernardini, Federica; O'Loughlin, Samantha M; Papathanos, Philippos-Aris; Nolan, Tony; Windbichler, Nikolai; Crisanti, Andrea

    2016-08-03

    Genetic control aims to reduce the ability of insect pest populations to cause harm via the release of modified insects. One strategy is to bias the reproductive sex ratio towards males so that a population decreases in size or is eliminated altogether due to a lack of females. We have shown previously that sex ratio distortion can be generated synthetically in the main human malaria vector Anopheles gambiae, by selectively destroying the X-chromosome during spermatogenesis, through the activity of a naturally-occurring endonuclease that targets a repetitive rDNA sequence highly-conserved in a wide range of organisms. Here we describe a CRISPR-Cas9 sex distortion system that targets ribosomal sequences restricted to the member species of the Anopheles gambiae complex. Expression of Cas9 during spermatogenesis resulted in RNA-guided shredding of the X-chromosome during male meiosis and produced extreme male bias among progeny in the absence of any significant reduction in fertility. The flexibility of CRISPR-Cas9 combined with the availability of genomic data for a range of insects renders this strategy broadly applicable for the species-specific control of any pest or vector species with an XY sex-determination system by targeting sequences exclusive to the female sex chromosome.

  11. Understanding the genetic diversity, spatial genetic structure and mating system at the hierarchical levels of fruits and individuals of a continuous Theobroma cacao population from the Brazilian Amazon

    Science.gov (United States)

    Silva, C R S; Albuquerque, P S B; Ervedosa, F R; Mota, J W S; Figueira, A; Sebbenn, A M

    2011-01-01

    Understanding the mating patterns of populations of tree species is a key component of ex situ genetic conservation. In this study, we analysed the genetic diversity, spatial genetic structure (SGS) and mating system at the hierarchical levels of fruits and individuals as well as pollen dispersal patterns in a continuous population of Theobroma cacao in Pará State, Brazil. A total of 156 individuals in a 0.56 ha plot were mapped and genotyped for nine microsatellite loci. For the mating system analyses, 50 seeds were collected from nine seed trees by sampling five fruits per tree (10 seeds per fruit). Among the 156 individuals, 127 had unique multilocus genotypes, and the remaining were clones. The population was spatially aggregated; it demonstrated a significant SGS up to 15 m that could be attributed primarily to the presence of clones. However, the short seed dispersal distance also contributed to this pattern. Population matings occurred mainly via outcrossing, but selfing was observed in some seed trees, which indicated the presence of individual variation for self-incompatibility. The matings were also correlated, especially within (r̂p(m)=0.607) rather than among the fruits (r̂p(m)=0.099), which suggested that a small number of pollen donors fertilised each fruit. The paternity analysis suggested a high proportion of pollen migration (61.3%), although within the plot, most of the pollen dispersal encompassed short distances (28 m). The determination of these novel parameters provides the fundamental information required to establish long-term ex situ conservation strategies for this important tropical species. PMID:21139632

  12. Unfolding neutron spectra with BS-TLD system using genetic algorithms

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Joelan A.L., E-mail: jasantos@cnen.gov.br [Universidade Federal de Pernambuco (UFPE), Recife, PE (Brazil). Dept. de Energia Nuclear; Centro Regional de Ciencias Nucleares do Nordeste (CRCN-NE/CNEN-PE), Recife, PE (Brazil); Silva, Everton R. [Universidade Federal de Pernambuco (UFPE), Recife, PE (Brazil). Centro de Informatica; Ferreira, Tiago A.E. [Universidade Federal Rural de Pernambuco (UFRPE), Recife, PE (Brazil). Dept. de Estatistica e Informatica; Fonseca, Evaldo S. [Instituto de Radioprotecao e Dosimetria (IRD/CNEN-RJ), Rio de Janeiro, RJ (Brazil); Vilela, Eudice C., E-mail: ecvilela@cnen.gov.br [Centro Regional de Ciencias Nucleares do Nordeste (CRCN-NE/CNEN-PE), Recife, PE (Brazil)

    2011-07-01

    Due to the variability of neutron spectrum within the same environment, it is essential that the spectral distribution as function of energy to be characterized. To perform this task, the neutron spectrometer has a primary role in determining the neutron flux ({Phi}{sub E}(E)). Precise information allows radiological quantities establishment related to that spectrum but it is necessary, however, a series of steps with a spectrometric system that can cover a large interval of energy and whose answer is isotropic. The most widely used for accomplishing this task is the spectrometric Bonner spheres system. One of the biggest problems related to neutron spectrometry is the process of data analysis, known as unfolding. Most of the work undertaken to implement new techniques of this process, using data obtained with the scintillator {sup 6}LiI(I). However, characteristics related to the dead time make it not be so effective when used in high flow neutron fields. An alternative to this problem is the use of thermoluminescent detectors (TLD), but the codes used do not provide a more specific response matrix to unfolding the information obtained through these materials, which makes the development of a specific response matrix important to adequately characterize the response obtained by them. This paper proposes using a technique of artificial intelligence called genetic algorithm, which uses bio-inspired mathematical models and through the implementation of a specific matrix to unfolding data obtained from a combination of TLDs embedded in a system of Bonner spheres, such as thermal neutron detectors, to characterize the neutron spectrum as a function of energy. The results obtained with this method were in accordance with reference spectra, thus enables of this technique to unfolding neutrons spectra with BS-TLD system. (author)

  13. Copy number ratios determined by two digital polymerase chain reaction systems in genetically modified grains

    Science.gov (United States)

    Pérez Urquiza, M.; Acatzi Silva, A. I.

    2014-02-01

    Three certified reference materials produced from powdered seeds to measure the copy number ratio sequences of p35S/hmgA in maize containing MON 810 event, p35S/Le1 in soybeans containing GTS 40-3-2 event and DREB1A/acc1 in wheat were produced according to the ISO Guides 34 and 35. In this paper, we report digital polymerase chain reaction (dPCR) protocols, performance parameters and results of copy number ratio content of genetically modified organisms (GMOs) in these materials using two new dPCR systems to detect and quantify molecular deoxyribonucleic acid: the BioMark® (Fluidigm) and the OpenArray® (Life Technologies) systems. These technologies were implemented at the National Institute of Metrology in Mexico (CENAM) and in the Reference Center for GMO Detection from the Ministry of Agriculture (CNRDOGM), respectively. The main advantage of this technique against the more-used quantitative polymerase chain reaction (qPCR) is that it generates an absolute number of target molecules in the sample, without reference to standards or an endogenous control, which is very useful when not much information is available for new developments or there are no standard reference materials in the market as in the wheat case presented, or when it was not possible to test the purity of seeds as in the maize case presented here. Both systems reported enhanced productivity, increased reliability and reduced instrument footprint. In this paper, the performance parameters and uncertainty of measurement obtained with both systems are presented and compared.

  14. A large health system's approach to utilization of the genetic counselor CPT® 96040 code.

    Science.gov (United States)

    Gustafson, Shanna L; Pfeiffer, Gail; Eng, Charis

    2011-12-01

    : In 2007, CPT® code 96040 was approved for genetic counseling services provided by nonphysician providers. Because of professional recognition and licensure limitations, experiences in direct billing by genetic counselors for these services are limited. A minority of genetics clinics report using this code because of limitations, including perceived denial of the code and confusion regarding compliant use of this code. We present results of our approach to 96040 billing for genetic counseling services under a supervising physicians National Provider ID number in a strategy for integration of genetics services within nongenetics specialty departments of a large academic medical center. : The 96040 billing encounters were tracked for a 14-month period and analyzed for reimbursement by private payers. Association of denial by diagnosis code or specialty of genetics service was statistically analyzed. Descriptive data regarding appointment availability are also summarized. : Of 350 encounters January 2008 to February 2009, 289 (82%) were billed to private payers. Of these, 62.6% received some level of reimbursement. No association was seen for denial when analyzed by the diagnosis code or by genetics focus. Through this model, genetics appointment availability minimally doubled. : Using 96040 allowed for expanding access to genetics services, increased appointment availability, and was successful in obtaining reimbursement for more than half of encounters billed.

  15. Behavioural linear standardized scoring system of the Lidia cattle breed by testing in herd: estimation of genetic parameters.

    Science.gov (United States)

    Pelayo, R; Solé, M; Sánchez, M J; Molina, A; Valera, M

    2016-10-01

    Docility is very important for cattle production, and many behavioural tests to measure this trait have been developed. However, very few objective behavioural tests to measure the opposite approach 'aggressive behaviour' have been described. Therefore, the aim of this work was to validate in the Lidia cattle breed a behavioural linear standardized scoring system that measure the aggressiveness and enable genetic analysis of behavioural traits expressing fearless and fighting ability. Reproducibility and repeatability measures were calculated for the 12 linear traits of this scoring system to assess its accuracy, and ranged from 85.3 and 94.2%, and from 66.7 to 97.9%, respectively. Genetic parameters were estimated using an animal model with a Bayesian approach. A total of 1202 behavioural records were used. The pedigree matrix contained 5001 individuals. Heritability values (with standard deviations) ranged between 0.13 (0.04) (Falls of the bull) and 0.41 (0.08) (Speed of approach to horse). Genetic correlations varied from 0.01 (0.07) to 0.90 (0.13). Finally, an exploratory factor analysis using the genetic correlation matrix was calculated. Three main factors were retained to describe the traditional genetic indexes aggressiveness, strength and mobility.

  16. Genetic structure, mating system, and long-distance gene flow in heart of palm (Euterpe edulis Mart.).

    Science.gov (United States)

    Gaiotto, F A; Grattapaglia, D; Vencovsky, R

    2003-01-01

    We report a detailed analysis of the population genetic structure, mating system, and gene flow of heart of palm (Euterpe edulis Mart.-Arecaceae) in central Brazil. This palm is considered a keystone species because it supplies fruits for birds and rodents all year and is intensively harvested for culinary purposes. Two populations of this palm tree were examined, using 18 microsatellite loci. The species displays a predominantly outcrossed mating system (tm = 0.94), with a probability of full sibship greater than 70% within open-pollinated families. The following estimates of interpopulation genetic variation were calculated and found significant: FIT = 0.17, FIS = 0.12, FST = 0.06, and RST = 0.07. This low but significant level of interpopulation genetic variation indicates high levels of gene flow. Two adult trees were identified as likely seed parents (P > 99.9%) of juveniles located at a distance of 22 km. Gene flow over such distances has not been reported before for tropical tree species. The establishment and management of in situ genetic reserves or ex situ conservation and breeding populations for E. edulis should contemplate the collection of several hundreds open-pollinated maternal families from relatively few distant populations to maximize the genetic sampling of a larger number of pollen parents.

  17. Terminal Appointment System Design by Non-stationary M(t)/Ek/c(t) Queueing Model and Genetic Algorithm

    DEFF Research Database (Denmark)

    Chen, Gang; Govindan, Kannan; Yang, Zhong-Zhen

    2013-01-01

    implementation scenarios of TAS: static TAS (STAS) and dynamic TAS (DTAS). First, a non-stationary M(t)/E/c(t) queueing model is used to analyse a terminal gate system, and solved with a new approximation approach. Then, genetic algorithm is applied to optimise the hourly quota of entry appointments in STAS...

  18. Fuzzy Logic, Neural Networks, Genetic Algorithms: Views of Three Artificial Intelligence Concepts Used in Modeling Scientific Systems

    Science.gov (United States)

    Sunal, Cynthia Szymanski; Karr, Charles L.; Sunal, Dennis W.

    2003-01-01

    Students' conceptions of three major artificial intelligence concepts used in the modeling of systems in science, fuzzy logic, neural networks, and genetic algorithms were investigated before and after a higher education science course. Students initially explored their prior ideas related to the three concepts through active tasks. Then,…

  19. Terminal Appointment System Design by Non-stationary M(t)/Ek/c(t) Queueing Model and Genetic Algorithm

    DEFF Research Database (Denmark)

    Chen, Gang; Govindan, Kannan; Yang, Zhong-Zhen

    2013-01-01

    implementation scenarios of TAS: static TAS (STAS) and dynamic TAS (DTAS). First, a non-stationary M(t)/E/c(t) queueing model is used to analyse a terminal gate system, and solved with a new approximation approach. Then, genetic algorithm is applied to optimise the hourly quota of entry appointments in STAS...

  20. Association between serotonin cumulative genetic score and the Behavioral Approach System (BAS): Moderation by early life environment.

    Science.gov (United States)

    Pearson, Rahel; McGeary, John E; Beevers, Christopher G

    2014-11-01

    The present study investigates if genetic variation in the serotonergic system interacts with early adversity to predict changes in the Behavioral Approach System (BAS), a system that taps into reward processing. In a sample of community adults (N= 236) the influence of single serotonergic candidate polymorphisms on BAS was analyzed, we also examined the aggregate contribution of these genetic variants by creating a Cumulative Genetic Score (CGS). A CGS quantifies an individual's cumulative risk by aggregating the number of risk alleles across the candidate polymorphisms. After individual gene analysis, three candidate genes rs7305115 (TPH2), rs6311 (HTR2A), and rs6295 (HTR1A) were combined into the CGS. There were no significant interactions between individual candidate polymorphisms and childhood adversity, but the CGS interacted with childhood adversity to explain a significant amount of variance (11.6%) in the BAS. Findings suggest that genetic variations in the serotonergic system in combination with childhood adversity contribute to individual differences in reward sensitivity.

  1. Genetic variation and activity of the renin-angiotensin system and severe hypoglycemia in type 1 diabetes

    DEFF Research Database (Denmark)

    Pedersen-Bjergaard, U.; Dhamrait, S.S.; Sethi, A.A.;

    2008-01-01

    BACKGROUND: The deletion-allele of the angiotensin-converting enzyme (ACE) gene and elevated ACE activity are associated with increased risk of severe hypoglycemia in type 1 diabetes. We explored whether genetic and phenotypic variations in other components of the renin-angiotensin system...

  2. Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem

    Science.gov (United States)

    We have applied a systems genetics approach to elucidate molecular mechanisms of maize responses to gray leaf spot (GLS) disease, caused by Cercospora zeina, a major threat to maize production globally. We conducted expression QTL (eQTL) analysis of gene expression variation measured in earleaf samp...

  3. Macromolecular recognition: Structural aspects of the origin of the genetic system

    Science.gov (United States)

    Rein, Robert; Barak, Dov; Luo, Ning; Zielinski, Theresa Julia; Shibata, Masayuki

    1991-01-01

    Theoretical simulation of prebiotic chemical processes is an invaluable tool for probing the phenomenon of evolution of life. Using computational and modeling techniques and guided by analogies from present day systems we, seek to understand the emergence of genetic apparatus, enzymatic catalysis and protein synthesis under prebiotic conditions. In one possible scenario, the RNA enzymatic reaction plays a key role in the emergence of the self-replicating and offers a clue to the onset of enzymatic catalysis prior to the existence of the protein biosynthetic machinery. Our ultimate goal is to propose a simple RNA segment which contains the specificity and catalytic activity of the contemporary RNA enzyme and which could emerge in a primordial chemical environment. To understand the mechanism of ribozyme catalyzed reactions, ab initio and semi-empirical (ZINDO) programs were used to investigate the reaction path of transphosphorylation. A special emphasis was placed on the possible catalytic and structural roles played by the coordinated magnesium cation. Both the inline and adjacent mechanisms of transphosphorylation have been studied. Another important aspect of this reaction is the identity of the functional groups which are essential for the acid base catalysis. The structural characteristics of the target helices, particularly a possible role of G center dot T pair, is under examination by molecular dynamics (MD) simulation technique. Modeling of the ancestral aminoacyl-tRNA synthetases (aRS) may provide important clues to the emergence of the genetic code and the protein synthetic machinery. Assuming that the catalytic function evolved before the elements of specific recognition of a particular amino acid, we are exploring the minimal structural requirements for the catalysis of tRNA aminoacylation. The molecular modeling system SYBYL was used for this study based on the high resolution crystallographic structures of the present day tyrosyl-adenylate:tyrRS and

  4. The apt/6-Methylpurine Counterselection System and Its Applications in Genetic Studies of the Hyperthermophilic Archaeon Sulfolobus islandicus

    Science.gov (United States)

    Bi, Hongkai; Whitaker, Rachel J.

    2016-01-01

    ABSTRACT Sulfolobus islandicus serves as a model for studying archaeal biology as well as linking novel biology to evolutionary ecology using functional population genomics. In the present study, we developed a new counterselectable genetic marker in S. islandicus to expand the genetic toolbox for this species. We show that resistance to the purine analog 6-methylpurine (6-MP) in S. islandicus M.16.4 is due to the inactivation of a putative adenine phosphoribosyltransferase encoded by M164_0158 (apt). The application of the apt gene as a novel counterselectable marker was first illustrated by constructing an unmarked α-amylase deletion mutant. Furthermore, the 6-MP counterselection feature was employed in a forward (loss-of-function) mutation assay to reveal the profile of spontaneous mutations in S. islandicus M.16.4 at the apt locus. Moreover, the general conservation of apt genes in the crenarchaea suggests that the same strategy can be broadly applied to other crenarchaeal model organisms. These results demonstrate that the apt locus represents a new tool for genetic manipulation and sequence analysis of the hyperthermophilic crenarchaeon S. islandicus. IMPORTANCE Currently, the pyrEF/5-fluoroorotic acid (5-FOA) counterselection system remains the sole counterselection marker in crenarchaeal genetics. Since most Sulfolobus mutants constructed by the research community were derived from genetic hosts lacking the pyrEF genes, the pyrEF/5-FOA system is no longer available for use in forward mutation assays. Demonstration of the apt/6-MP counterselection system for the Sulfolobus model renders it possible to again study the mutation profiles in mutants that have already been constructed by the use of strains with a pyrEF-deficient background. Furthermore, additional counterselectable markers will allow us to conduct more sophisticated genetic studies, i.e., investigate mechanisms of chromosomal DNA transfer and quantify recombination frequencies among S

  5. Systemic administration of high-molecular weight hyaluronan stimulates wound healing in genetically diabetic mice.

    Science.gov (United States)

    Galeano, Mariarosaria; Polito, Francesca; Bitto, Alessandra; Irrera, Natasha; Campo, Giuseppe M; Avenoso, Angela; Calò, Margherita; Lo Cascio, Patrizia; Minutoli, Letteria; Barone, Mauro; Squadrito, Francesco; Altavilla, Domenica

    2011-07-01

    Hyaluronic acid (HA), an essential component of the extracellular matrix, is an efficient space filler that maintains hydration, serves as a substrate for assembly of proteoglycans and is involved in wound healing. Although numerous pieces of evidence demonstrate beneficial effects in promoting wound healing in diabetes, a systemic approach has never been tested. We used an incisional wound healing model in genetically diabetic mice to test the effects of systemic injection of HA. Diabetic (n=56) and normoglycemic (n=56) mice were subjected to incision and randomized (8 groups of 7 animals each) to receive HA at different doses, 7.5, 15 and 30mg/kg/i.p., or vehicle (0.9% NaCl solution) for 12days. At the end of the experiment animals were sacrificed and skin wounds were excised for histological, biochemical and molecular analysis. Histology revealed that the most effective dose to improve wound repair and angiogenesis in diabetic mice was 30mg/kg. Furthermore HA injection (30mg/kg) improved the altered healing pattern in diabetic animals, increased skin remodeling proteins TGF-β and transglutaminase-II and restored the altered expression of cyclin B1/Cdc2 complex. Evaluation of skin from diabetic animals injected with HA revealed also an increase in HA content, suggesting that systemic injection may be able to restore the reduced intracellular HA pool of diabetic mice. Finally HA markedly improved skin mechanical properties. These promising results, if confirmed in a clinical setting, may improve the care and management of diabetic patients.

  6. Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.

    Science.gov (United States)

    Kuru, Kaya; Niranjan, Mahesan; Tunca, Yusuf; Osvank, Erhan; Azim, Tayyaba

    2014-10-01

    In general, medical geneticists aim to pre-diagnose underlying syndromes based on facial features before performing cytological or molecular analyses where a genotype-phenotype interrelation is possible. However, determining correct genotype-phenotype interrelationships among many syndromes is tedious and labor-intensive, especially for extremely rare syndromes. Thus, a computer-aided system for pre-diagnosis can facilitate effective and efficient decision support, particularly when few similar cases are available, or in remote rural districts where diagnostic knowledge of syndromes is not readily available. The proposed methodology, visual diagnostic decision support system (visual diagnostic DSS), employs machine learning (ML) algorithms and digital image processing techniques in a hybrid approach for automated diagnosis in medical genetics. This approach uses facial features in reference images of disorders to identify visual genotype-phenotype interrelationships. Our statistical method describes facial image data as principal component features and diagnoses syndromes using these features. The proposed system was trained using a real dataset of previously published face images of subjects with syndromes, which provided accurate diagnostic information. The method was tested using a leave-one-out cross-validation scheme with 15 different syndromes, each of comprised 5-9 cases, i.e., 92 cases in total. An accuracy rate of 83% was achieved using this automated diagnosis technique, which was statistically significant (pdiagnostic DSSs to that described in the present study, i.e., visual diagnostic DSS, thereby demonstrating the benefits of using hybrid image processing and ML-based computer-aided diagnostics for identifying facial phenotypes. Copyright © 2014. Published by Elsevier B.V.

  7. Accurate crop classification using hierarchical genetic fuzzy rule-based systems

    Science.gov (United States)

    Topaloglou, Charalampos A.; Mylonas, Stelios K.; Stavrakoudis, Dimitris G.; Mastorocostas, Paris A.; Theocharis, John B.

    2014-10-01

    This paper investigates the effectiveness of an advanced classification system for accurate crop classification using very high resolution (VHR) satellite imagery. Specifically, a recently proposed genetic fuzzy rule-based classification system (GFRBCS) is employed, namely, the Hierarchical Rule-based Linguistic Classifier (HiRLiC). HiRLiC's model comprises a small set of simple IF-THEN fuzzy rules, easily interpretable by humans. One of its most important attributes is that its learning algorithm requires minimum user interaction, since the most important learning parameters affecting the classification accuracy are determined by the learning algorithm automatically. HiRLiC is applied in a challenging crop classification task, using a SPOT5 satellite image over an intensively cultivated area in a lake-wetland ecosystem in northern Greece. A rich set of higher-order spectral and textural features is derived from the initial bands of the (pan-sharpened) image, resulting in an input space comprising 119 features. The experimental analysis proves that HiRLiC compares favorably to other interpretable classifiers of the literature, both in terms of structural complexity and classification accuracy. Its testing accuracy was very close to that obtained by complex state-of-the-art classification systems, such as the support vector machines (SVM) and random forest (RF) classifiers. Nevertheless, visual inspection of the derived classification maps shows that HiRLiC is characterized by higher generalization properties, providing more homogeneous classifications that the competitors. Moreover, the runtime requirements for producing the thematic map was orders of magnitude lower than the respective for the competitors.

  8. An automatic modeling system of the reaction mechanisms for chemical vapor deposition processes using real-coded genetic algorithms.

    Science.gov (United States)

    Takahashi, Takahiro; Nakai, Hiroyuki; Kinpara, Hiroki; Ema, Yoshinori

    2011-09-01

    The identification of appropriate reaction models is very helpful for developing chemical vapor deposition (CVD) processes. In this study, we have developed an automatic system to model reaction mechanisms in the CVD processes by analyzing the experimental results, which are cross-sectional shapes of the deposited films on substrates with micrometer- or nanometer-sized trenches. We designed the inference engine to model the reaction mechanism in the system by the use of real-coded genetic algorithms (RCGAs). We studied the dependence of the system performance on two methods using simple genetic algorithms (SGAs) and the RCGAs; the one involves the conventional GA operators and the other involves the blend crossover operator (BLX-alpha). Although we demonstrated that the systems using both the methods could successfully model the reaction mechanisms, the RCGAs showed the better performance with respect to the accuracy and the calculation cost for identifying the models.

  9. Multi-Objective Genetic Algorithm Optimisation Approach for the Geometrical Design of an Active Noise Control Systems

    Directory of Open Access Journals (Sweden)

    N. Jafferi

    2009-09-01

    Full Text Available This paper focuses on the geometrical design of active noise control (ANC in free- field propagation medium. The development and performance assessment uses genetic optimisation techniques to arrange system components so as to satisfy several performance requirements, such as physical extent of cancellation, controller design restriction and system stability. The ANC system design can be effectively addressed if it is considered as multi – objective optimisation problems. The multi-objective genetic algorithms (MOGAs are well suited to the design of an ANC system and the approach used for it is based on a multi - objective method, with which the physical extent of cancellation and relative stability assessment are dealt with simultaneously.

  10. Estimation of countries’ interdependence in plant genetic resources provisioning national food supplies and production systems

    NARCIS (Netherlands)

    Khoury, C.K.; Achicanoy, H.A.; Bjorkman, A.D.; Navarro-Racines, C.; Guarino, L.; Flores-Palacios, X.; Engels, J.M.M.; Wiersema, J.H.; Dempewolf, H.; Ramirez-Villegas, J.; Castaneda-Alvarez, N.P.; Fowler, C.; Jarvis, A.; Rieseberg, L.H.; Struik, P.C.

    2015-01-01

    The Contracting Parties of the International Treaty recognize that plant genetic resources for food and agriculture are a common concern of all countries, in that all countries depend largely on plant genetic resources for food and agriculture that originated elsewhere. Nearly 20 years ago, an

  11. Serological and Genetic Evidence for Altered Complement System Functionality in Systemic Lupus Erythematosus: Findings of the GAPAID Consortium.

    Science.gov (United States)

    Prechl, József; Papp, Krisztián; Hérincs, Zoltán; Péterfy, Hajna; Lóránd, Veronika; Szittner, Zoltán; Estonba, Andone; Rovero, Paolo; Paolini, Ilaria; Del Amo, Jokin; Uribarri, Maria; Alcaro, Maria Claudia; Ruiz-Larrañaga, Otsanda; Migliorini, Paola; Czirják, László

    2016-01-01

    Systemic lupus erythematosus is a chronic autoimmune disease with multifactorial ethiopathogenesis. The complement system is involved in both the early and late stages of disease development and organ damage. To better understand autoantibody mediated complement consumption we examined ex vivo immune complex formation on autoantigen arrays. We recruited patients with SLE (n = 211), with other systemic autoimmune diseases (n = 65) and non-autoimmune control subjects (n = 149). Standard clinical and laboratory data were collected and serum complement levels were determined. The genotype of SNP rs1143679 in the ITGAM gene was also determined. Ex vivo formation of immune complexes, with respect to IgM, IgG, complement C4 and C3 binding, was examined using a functional immunoassay on autoantigen microarray comprising nucleic acids, proteins and lipids. Complement consumption of nucleic acids increased upon binding of IgM and IgG even when serum complement levels were decreased due to consumption in SLE patients. A negative correlation between serum complement levels and ex vivo complement deposition on nucleic acid autoantigens is demonstrated. On the contrary, complement deposition on tested protein and lipid autoantigens showed positive correlation with C4 levels. Genetic analysis revealed that the non-synonymous variant rs1143679 in complement receptor type 3 is associated with an increased production of anti-dsDNA IgG antibodies. Notwithstanding, homozygous carriers of the previously reported susceptible allele (AA) had lower levels of dsDNA specific IgM among SLE patients. Both the non-synonymous variant rs1143679 and the high ratio of nucleic acid specific IgG/IgM were associated with multiple organ involvement. In summary, secondary complement deficiency in SLE does not impair opsonization of nucleic-acid-containing autoantigens but does affect other antigens and potentially other complement dependent processes. Dysfunction of the receptor recognizing complement

  12. Application of Genetic Control with Adaptive Scaling Scheme to Signal Acquisition in Global Navigation Satellite System Receiver

    Directory of Open Access Journals (Sweden)

    Ho-Nien Shou

    2012-02-01

    Full Text Available This paper presents a genetic-based control scheme that not only utilizes evolutionary characteristics to find the signal acquisition parameters, but also employs an adaptive scheme to control the search space and avoid the genetic control converging to local optimal value so as to acquire the desired signal precisely and rapidly. Simulations and experiment results show that the proposed method can improve the precision of signal parameters and take less signal acquisition time than traditional serial search methods for global navigation satellite system (GNSS signals.

  13. Molecular mechanisms underlying variations in lung function: a systems genetics analysis

    Science.gov (United States)

    Obeidat, Ma’en; Hao, Ke; Bossé, Yohan; Nickle, David C; Nie, Yunlong; Postma, Dirkje S; Laviolette, Michel; Sandford, Andrew J; Daley, Denise D; Hogg, James C; Elliott, W Mark; Fishbane, Nick; Timens, Wim; Hysi, Pirro G; Kaprio, Jaakko; Wilson, James F; Hui, Jennie; Rawal, Rajesh; Schulz, Holger; Stubbe, Beate; Hayward, Caroline; Polasek, Ozren; Järvelin, Marjo-Riitta; Zhao, Jing Hua; Jarvis, Deborah; Kähönen, Mika; Franceschini, Nora; North, Kari E; Loth, Daan W; Brusselle, Guy G; Smith, Albert Vernon; Gudnason, Vilmundur; Bartz, Traci M; Wilk, Jemma B; O’Connor, George T; Cassano, Patricia A; Tang, Wenbo; Wain, Louise V; Artigas, María Soler; Gharib, Sina A; Strachan, David P; Sin, Don D; Tobin, Martin D; London, Stephanie J; Hall, Ian P; Paré, Peter D

    2016-01-01

    Summary Background Lung function measures reflect the physiological state of the lung, and are essential to the diagnosis of chronic obstructive pulmonary disease (COPD). The SpiroMeta-CHARGE consortium undertook the largest genome-wide association study (GWAS) so far (n=48 201) for forced expiratory volume in 1 s (FEV1) and the ratio of FEV1 to forced vital capacity (FEV1/FVC) in the general population. The lung expression quantitative trait loci (eQTLs) study mapped the genetic architecture of gene expression in lung tissue from 1111 individuals. We used a systems genetics approach to identify single nucleotide polymorphisms (SNPs) associated with lung function that act as eQTLs and change the level of expression of their target genes in lung tissue; termed eSNPs. Methods The SpiroMeta-CHARGE GWAS results were integrated with lung eQTLs to map eSNPs and the genes and pathways underlying the associations in lung tissue. For comparison, a similar analysis was done in peripheral blood. The lung mRNA expression levels of the eSNP-regulated genes were tested for associations with lung function measures in 727 individuals. Additional analyses identified the pleiotropic effects of eSNPs from the published GWAS catalogue, and mapped enrichment in regulatory regions from the ENCODE project. Finally, the Connectivity Map database was used to identify potential therapeutics in silico that could reverse the COPD lung tissue gene signature. Findings SNPs associated with lung function measures were more likely to be eQTLs and vice versa. The integration mapped the specific genes underlying the GWAS signals in lung tissue. The eSNP-regulated genes were enriched for developmental and inflammatory pathways; by comparison, SNPs associated with lung function that were eQTLs in blood, but not in lung, were only involved in inflammatory pathways. Lung function eSNPs were enriched for regulatory elements and were over-represented among genes showing differential expression during

  14. Origin of the Genetic Components of the Vomeronasal System in the Common Ancestor of all Extant Vertebrates

    Science.gov (United States)

    Grus, Wendy E.; Zhang, Jianzhi

    2009-01-01

    Comparative genomics provides a valuable tool for inferring the evolutionary history of physiological systems, particularly when this information is difficult to ascertain by morphological traits. One such example is the vomeronasal system (VNS), a vertebrate nasal chemosensory system that is responsible for detecting intraspecific pheromonal cues as well as environmental odorants. The morphological components of the VNS are found only in tetrapods, but the genetic components of the system have been found in teleost fish, in addition to tetrapods. To determine when the genetic components of the VNS originated, we searched for the VNS-specific genes in the genomes of two early diverging vertebrate lineages: the sea lamprey from jawless fishes and the elephant shark from cartilaginous fishes. Genes encoding vomeronasal type 1 receptors (V1Rs) and Trpc2, two components of the vomeronasal signaling pathway, are present in the sea lamprey genome, and both are expressed in the olfactory organ, revealing that the genetic components of the present-day VNS existed in the common ancestor of all extant vertebrates. Additionally, all three VNS genes, Trpc2, V1Rs, and vomeronasal type 2 receptors (V2Rs), are found in the elephant shark genome. Because V1Rs and V2Rs are related to two families of taste receptors, we also searched the early diverging vertebrate genomes for taste system genes and found them in the shark genome but not in the lamprey. Coupled with known distributions of the genetic components of the vertebrate main olfactory system, our results suggest staggered origins of vertebrate sensory systems. These findings are important for understanding the evolution of vertebrate sensory systems and illustrate the utility of the genome sequences of early diverging vertebrates for uncovering the evolution of vertebrate-specific traits. PMID:19008528

  15. Novel genetic tools for Hansenula polymorpha

    NARCIS (Netherlands)

    Saraya, Ruchi; Krikken, Arjen M; Kiel, Jan A K W; Baerends, Richard J S; Veenhuis, Marten; van der Klei, Ida J

    2012-01-01

    Hansenula polymorpha is an important yeast in industrial biotechnology. In addition, it is extensively used in fundamental research devoted to unravel the principles of peroxisome biology and nitrate assimilation. Here we present an overview of key components of the genetic toolbox for H. polymorpha

  16. Problem-based learning versus lectures: comparison of academic results and time devoted by teachers in a course on Dentistry in Special Patients.

    Science.gov (United States)

    Moreno-López, Luis A; Somacarrera-Pérez, Ma Luisa; Díaz-Rodríguez, M M; Campo-Trapero, Julián; Cano-Sánchez, Jorge

    2009-11-01

    Problem-Based Learning (PBL) is a teaching-learning technique centred on the complete development of the student. It has been successfully implemented in several universities, notably in the health sciences. The process of creating the European Higher Education Area, initiated in Bologna, encourages European universities to use new methodologies in the teaching-learning process, including PBL. Our objectives were to analyze the results obtained by using PBL with fifth-year Dentistry students. Comparison of academic results between students receiving lectures and PBL participants, and assessment of differences between them in the time devoted to tasks by students and teachers. PBL participants obtained higher grades compared to those receiving lectures only (p<0.05). The two student groups devoted the same amount of time to this subject but the time distribution of tasks was very different, with PBL students spending more time on group work and analysis of the literature. The teachers devoted much more time to the PBL group. PBL is a teaching-learning methodology that improves student academic results. PBL diverts student time to more complex tasks but requires a greater commitment from the teachers.

  17. Transforming Adverse Cognition on the Path of Bhakti: Rule-Based Devotion, “My-Ness,” and the Existential Condition of Bondage

    Directory of Open Access Journals (Sweden)

    Travis Chilcott

    2016-05-01

    Full Text Available Early Gauḍīya Vaiṣṇava theologians developed a unique path of Hindu devotion during the 16th century through which an aspirant cultivates a rapturous form of selfless love (premā for Kṛṣṇa, who is recognized as the supreme and personal deity. In the course and consequence of cultivating this selfless love, the recommended practices of devotion are claimed to free one from the basic existential condition of bondage that is of concern for a wide range of South Asian religious and philosophical traditions. One of the principle cognitive tendencies characterizing this condition is to have thoughts and feelings of possessiveness over objects of the world, or what is referred to as the state of “my-ness” (mamatā, e.g., my home, my children, or my wealth. Using the therapeutic model of schema therapy as a heuristic analogue, this article explores the relationship between recommended practices of rule-based devotion (vaidhi-bhakti and the modulation of thoughts and feelings of possessiveness towards mundane objects. I argue that such practices function as learning strategies that can systematically rework and modulate how one relates to and responds to these objects in theologically desirable ways. I conclude by suggesting that connectionist theories of cognition and learning may offer a promising explanatory framework for understanding the dynamics of this kind of relationship.

  18. Genetic and systems level analysis of Drosophila sticky/citron kinase and dFmr1 mutants reveals common regulation of genetic networks

    Directory of Open Access Journals (Sweden)

    Zarnescu Daniela C

    2008-11-01

    Full Text Available Abstract Background In Drosophila, the genes sticky and dFmr1 have both been shown to regulate cytoskeletal dynamics and chromatin structure. These genes also genetically interact with Argonaute family microRNA regulators. Furthermore, in mammalian systems, both genes have been implicated in neuronal development. Given these genetic and functional similarities, we tested Drosophila sticky and dFmr1 for a genetic interaction and measured whole genome expression in both mutants to assess similarities in gene regulation. Results We found that sticky mutations can dominantly suppress a dFmr1 gain-of-function phenotype in the developing eye, while phenotypes produced by RNAi knock-down of sticky were enhanced by dFmr1 RNAi and a dFmr1 loss-of-function mutation. We also identified a large number of transcripts that were misexpressed in both mutants suggesting that sticky and dFmr1 gene products similarly regulate gene expression. By integrating gene expression data with a protein-protein interaction network, we found that mutations in sticky and dFmr1 resulted in misexpression of common gene networks, and consequently predicted additional specific phenotypes previously not known to be associated with either gene. Further phenotypic analyses validated these predictions. Conclusion These findings establish a functional link between two previously unrelated genes. Microarray analysis indicates that sticky and dFmr1 are both required for regulation of many developmental genes in a variety of cell types. The diversity of transcripts regulated by these two genes suggests a clear cause of the pleiotropy that sticky and dFmr1 mutants display and provides many novel, testable hypotheses about the functions of these genes. As both of these genes are implicated in the development and function of the mammalian brain, these results have relevance to human health as well as to understanding more general biological processes.

  19. Genetic polymorphisms in the serotonergic system are associated with circadian manifestations of bruxism.

    Science.gov (United States)

    Oporto, G H; Bornhardt, T; Iturriaga, V; Salazar, L A

    2016-11-01

    Bruxism (BRX) is a condition of great interest for researchers and clinicians in dental and medical areas. BRX has two circadian manifestations; it can occur during sleep (sleep bruxism, SB) or during wakefulness (awake bruxism, WB). However, it can be suffered together. Recent investigations suggest that central nervous system neurotransmitters and their genes could be involved in the genesis of BRX. Serotonin is responsible for the circadian rhythm, maintaining arousal, regulating stress response, muscle tone and breathing. Thus, serotonin could be associated with BRX pathogenesis. The aim of this work was to evaluate the frequency of genetic polymorphisms in the genes HTR1A (rs6295), HTR2A (rs1923884, rs4941573, rs6313, rs2770304), HTR2C (rs17260565) and SLC6A4 (rs63749047) in subjects undergoing BRX treatment. Patients included were classified according to their diagnosis in awake bruxism (61 patients), sleep bruxism (26 patients) and both (43 patients). The control group included 59 healthy patients with no signs of BRX. Data showed significant differences in allelic frequencies for the HTR2A rs2770304 polymorphism, where the C allele was associated with increased risk of SB (odds ratio = 2·13, 95% confidence interval: 1·08-4·21, P = 0·03). Our results suggest that polymorphisms in serotonergic pathways are involved in sleep bruxism. Further research is needed to clarify and increase the current understanding of BRX physiopathology.

  20. Method of Inequalities-based Multiobjective Genetic Algorithm for Optimizing a Cart-double-pendulum System

    Institute of Scientific and Technical Information of China (English)

    Tung-Kuan Liu; Chiu-Hung Chen; Zu-Shu Li; Jyh-Horng Chou

    2009-01-01

    This article presents a multiobjective approach to the design of the controller for the swing-up and handstand control of a general cart-double-pendulum system (CDPS).The designed controller,which is based on the human-simulated intelligent control (HSIC) method,builds up different control modes to monitor and control the CDPS during four kinetic phases consisting of an initial oscillation phase,a swing-up phase,a posture adjustment phase,and a balance control phase.For the approach,the original method of inequalities-based (MoI) multiobjective genetic algorithm (MMGA) is extended and applied to the case study which uses a set of performance indices that includes the cart displacement over the rail boundary,the number of swings,the settling time,the overshoot of the total energy,and the control effort.The simulation results show good responses of the CDPS with the controllers obtained by the proposed approach.

  1. Design of Clinical Support Systems Using Integrated Genetic Algorithm and Support Vector Machine

    Science.gov (United States)

    Chen, Yung-Fu; Huang, Yung-Fa; Jiang, Xiaoyi; Hsu, Yuan-Nian; Lin, Hsuan-Hung

    Clinical decision support system (CDSS) provides knowledge and specific information for clinicians to enhance diagnostic efficiency and improving healthcare quality. An appropriate CDSS can highly elevate patient safety, improve healthcare quality, and increase cost-effectiveness. Support vector machine (SVM) is believed to be superior to traditional statistical and neural network classifiers. However, it is critical to determine suitable combination of SVM parameters regarding classification performance. Genetic algorithm (GA) can find optimal solution within an acceptable time, and is faster than greedy algorithm with exhaustive searching strategy. By taking the advantage of GA in quickly selecting the salient features and adjusting SVM parameters, a method using integrated GA and SVM (IGS), which is different from the traditional method with GA used for feature selection and SVM for classification, was used to design CDSSs for prediction of successful ventilation weaning, diagnosis of patients with severe obstructive sleep apnea, and discrimination of different cell types form Pap smear. The results show that IGS is better than methods using SVM alone or linear discriminator.

  2. Genetic-algorithm-based multiple regression with fuzzy inference system for detection of nocturnal hypoglycemic episodes.

    Science.gov (United States)

    Ling, Steve S H; Nguyen, Hung T

    2011-03-01

    Hypoglycemia or low blood glucose is dangerous and can result in unconsciousness, seizures, and even death. It is a common and serious side effect of insulin therapy in patients with diabetes. Hypoglycemic monitor is a noninvasive monitor that measures some physiological parameters continuously to provide detection of hypoglycemic episodes in type 1 diabetes mellitus patients (T1DM). Based on heart rate (HR), corrected QT interval of the ECG signal, change of HR, and the change of corrected QT interval, we develop a genetic algorithm (GA)-based multiple regression with fuzzy inference system (FIS) to classify the presence of hypoglycemic episodes. GA is used to find the optimal fuzzy rules and membership functions of FIS and the model parameters of regression method. From a clinical study of 16 children with T1DM, natural occurrence of nocturnal hypoglycemic episodes is associated with HRs and corrected QT intervals. The overall data were organized into a training set (eight patients) and a testing set (another eight patients) randomly selected. The results show that the proposed algorithm performs a good sensitivity with an acceptable specificity.

  3. Optimization of the linear quadratic regulator (LQR control quarter car suspension system using genetic algorithm

    Directory of Open Access Journals (Sweden)

    Mahesh Nagarkar

    2016-04-01

    Full Text Available In this paper, a genetic algorithm (GA based in an optimization approach is presented in order to search the optimum weighting matrix parameters of a linear quadratic regulator (LQR. A Macpherson strut quarter car suspension system is implemented for ride control application. Initially, the GA is implemented with the objective of minimizing root mean square (RMS controller force. For single objective optimization, RMS controller force is reduced by 20.42% with slight increase in RMS sprung mass acceleration. Trade-off is observed between controller force and sprung mass acceleration. Further, an analysis is extended to multi-objective optimization with objectives such as minimization of RMS controller force and RMS sprung mass acceleration and minimization of RMS controller force, RMS sprung mass acceleration and suspension space deflection. For multi-objective optimization, Pareto-front gives flexibility in order to choose the optimum solution as per designer’s need.

  4. The impact of genetic susceptibility to systemic lupus erythematosus on placental malaria in mice.

    Directory of Open Access Journals (Sweden)

    Michael Waisberg

    Full Text Available Severe malaria, including cerebral malaria (CM and placental malaria (PM, have been recognized to have many of the features of uncontrolled inflammation. We recently showed that in mice genetic susceptibility to the lethal inflammatory autoimmune disease, systemic lupus erythematosus (SLE, conferred resistance to CM. Protection appeared to be mediated by immune mechanisms that allowed SLE-prone mice, prior to the onset of overt SLE symptoms, to better control their inflammatory response to Plasmodium infection. Here we extend these findings to ask does SLE susceptibility have 1 a cost to reproductive fitness and/or 2 an effect on PM in mice? The rates of conception for WT and SLE susceptible (SLE(s mice were similar as were the number and viability of fetuses in pregnant WT and SLE(s mice indicating that SLE susceptibility does not have a reproductive cost. We found that Plasmodium chabaudi AS (Pc infection disrupted early stages of pregnancy before the placenta was completely formed resulting in massive decidual necrosis 8 days after conception. Pc-infected pregnant SLE(s mice had significantly more fetuses (∼1.8 fold but SLE did not significantly affect fetal viability in infected animals. This was despite the fact that Pc-infected pregnant SLE(s mice had more severe symptoms of malaria as compared to Pc-infected pregnant WT mice. Thus, although SLE susceptibility was not protective in PM in mice it also did not have a negative impact on reproductive fitness.

  5. Application of neural networks and genetic algorithms for sizing of photovoltaic systems

    Energy Technology Data Exchange (ETDEWEB)

    Mellit, Adel [Faculty of Sciences and Technology, Department of Electronics, LAMEL, Jijel University, Ouled-Aissa, P.O. Box 98, Jijel 18000 (Algeria); Kalogirou, Soteris A. [Department of Mechanical Engineering and Materials Science and Engineering, Cyprus University of Technology, P.O. Box 50329, Limassol 3603 (Cyprus); Drif, Mahmoud [Centre de dEveloppement des Energies Renouvelables (CDER), B.P 62, Bouzareah, Alger 16340 (Algeria)

    2010-12-15

    In this paper, an artificial neural network-based genetic algorithm (ANN-GA) model was developed for generating the sizing curve of stand-alone photovoltaic (SAPV) systems. Firstly, a numerical method is used for generating the sizing curves for different loss of load probability (LLP) corresponding to 40 sites located in Algeria. The inputs of ANN-GA are the geographical coordinates (Lat, Lon and Alt) and the LLP while the output is the sizing curve represented by C{sub A}=f(C{sub S}). Subsequently, the proposed ANN-GA model has been trained by using a set of 36 sites, whereas data for 4 sites which are not included in the training dataset have been used for testing the ANN-GA model. The results obtained are compared and tested with those of the numerical method. In addition, two new regression models have been developed and compared with the conventional regression models. The results show that, the proposed exponential regression model with three coefficients presents more accurate results than the conventional regression models. A new ANN has been used for predicting the sizing coefficients for the best regression model. These coefficients can be used for developing the sizing curve in different locations in Algeria. The results obtained showed that the coefficient of multiple determination (R{sup 2}) is 0.9998, which can be considered as very promising. (author)

  6. Elevator Group Supervisory Control System Using Genetic Network Programming with Macro Nodes and Reinforcement Learning

    Science.gov (United States)

    Zhou, Jin; Yu, Lu; Mabu, Shingo; Hirasawa, Kotaro; Hu, Jinglu; Markon, Sandor

    Elevator Group Supervisory Control System (EGSCS) is a very large scale stochastic dynamic optimization problem. Due to its vast state space, significant uncertainty and numerous resource constraints such as finite car capacities and registered hall/car calls, it is hard to manage EGSCS using conventional control methods. Recently, many solutions for EGSCS using Artificial Intelligence (AI) technologies have been reported. Genetic Network Programming (GNP), which is proposed as a new evolutionary computation method several years ago, is also proved to be efficient when applied to EGSCS problem. In this paper, we propose an extended algorithm for EGSCS by introducing Reinforcement Learning (RL) into GNP framework, and an improvement of the EGSCS' performances is expected since the efficiency of GNP with RL has been clarified in some other studies like tile-world problem. Simulation tests using traffic flows in a typical office building have been made, and the results show an actual improvement of the EGSCS' performances comparing to the algorithms using original GNP and conventional control methods. Furthermore, as a further study, an importance weight optimization algorithm is employed based on GNP with RL and its efficiency is also verified with the better performances.

  7. [Development of genetic transformation system of Valsa mali of apple mediated by PEG].

    Science.gov (United States)

    Gao, Jing; Li, Yanbo; Ke, Xiwang; Kang, Zhensheng; Huang, Lili

    2011-09-01

    The genetic transformation of Valsa mali var. mali was developed by PEG-mediated protoplasts transformation. It was transformed by PEG-induced fusion of protoplasts. The plasmid pBIG2RHPH2-GFP-GUS carrying hph gene was used and Valsa mali var. mali 03-8 isolate was used as the host strain. At 50 mg/mL driselase + 10 mg/mL lysing enzymes concentration, the mycelium of Valsa mali var. mali cultured in YEPD medium for 48 h was hydrolyzed in 10 mL enzymes liquid /0.5 g wet mycelium for 2 h. The protoplast yield was 4 x 10(7) CFU/mg. The transformation efficiency was 44 per g DNA. Analysis of the transformants by PCR and Southern blotting showed that the selectable marker gene hph was integrated effectively into the genome of Valsa mali var. mali. After 5 subculturing on PDA, 87.5% transformants could grow. This stability test of transformants suggested that the foreign gene hph was stable in heredity. This transformation system is a valuable and important tool for the further study of the pathogenic gene of Valsa mali.

  8. The Impact of Genetic Susceptibility to Systemic Lupus Erythematosus on Placental Malaria in Mice

    Science.gov (United States)

    Waisberg, Michael; Lin, Christina K.; Huang, Chiung-Yu; Pena, Mirna; Orandle, Marlene; Bolland, Silvia; Pierce, Susan K.

    2013-01-01

    Severe malaria, including cerebral malaria (CM) and placental malaria (PM), have been recognized to have many of the features of uncontrolled inflammation. We recently showed that in mice genetic susceptibility to the lethal inflammatory autoimmune disease, systemic lupus erythematosus (SLE), conferred resistance to CM. Protection appeared to be mediated by immune mechanisms that allowed SLE-prone mice, prior to the onset of overt SLE symptoms, to better control their inflammatory response to Plasmodium infection. Here we extend these findings to ask does SLE susceptibility have 1) a cost to reproductive fitness and/or 2) an effect on PM in mice? The rates of conception for WT and SLE susceptible (SLEs) mice were similar as were the number and viability of fetuses in pregnant WT and SLEs mice indicating that SLE susceptibility does not have a reproductive cost. We found that Plasmodium chabaudi AS (Pc) infection disrupted early stages of pregnancy before the placenta was completely formed resulting in massive decidual necrosis 8 days after conception. Pc-infected pregnant SLEs mice had significantly more fetuses (∼1.8 fold) but SLE did not significantly affect fetal viability in infected animals. This was despite the fact that Pc-infected pregnant SLEs mice had more severe symptoms of malaria as compared to Pc-infected pregnant WT mice. Thus, although SLE susceptibility was not protective in PM in mice it also did not have a negative impact on reproductive fitness. PMID:23675429

  9. Genetic algorithms for the synthesis optimization of a set of irredundant diagnostic tests in the intelligent system

    Directory of Open Access Journals (Sweden)

    Anna E. Yankovskaya

    2001-12-01

    Full Text Available Method of the synthesis optimization of a set of irredundant diagnostic tests with genetic algorithms used to solve problems of large dimension is suggested. The idea of creating the irredundant partial implication matrix sectionalized by classification mechanisms lies in the base; creating a set of irredundant diagnostic tests is based on revealing certain kinds of regularities with the use of genetic transformations. All the obligatory and non-informative features are not used in genetic transformations. Procedures of selection able-to-compete individuals from populations, decision making concerning the object under examination of each able-to-compete individual from populations, and organizing of voting on the set of these individuals are suggested. In order to solve these problems the intelligent system is used.

  10. Visualizing the enteric nervous system using genetically engineered double reporter mice: Comparison with immunofluorescence

    Science.gov (United States)

    Jiang, Yanfen; Dong, Hui; Eckmann, Lars; Hanson, Elaine M.; Ihn, Katherine C.; Mittal, Ravinder K.

    2017-01-01

    Background and aims The enteric nervous system (ENS) plays a crucial role in the control of gastrointestinal motility, secretion and absorption functions. Immunohistochemistry has been widely used to visualize neurons of the ENS for more than two decades. Genetically engineered mice that report specific proteins can also be used to visualize neurons of the ENS. The goal of our study was to develop a mouse that expresses fluorescent neuronal nitric oxide synthase (nNOS) and choline acetyltransferase (ChAT), the two proteins expressed in 95% of the ENS neurons. We compared ENS neurons visualized in the reporter mouse with the wild type mouse stained using classical immunostaining techniques. Methods Mice hemizygous for ChAT-ChR2-YFP BAC transgene with expression of the mhChR2:YFP fusion protein directed by ChAT promoter/enhancer regions on the BAC transgene were purchased commercially. The Cre/LoxP technique of somatic recombination was used to construct mice with nNOS positive neurons. The two mice were crossbred and tissues were harvested and examined using fluorescent microscopy. Immunostaining was performed in the wild type mice, using antibodies to nNOS, ChAT, Hu and PGP 9.5. Results Greater than 95% of the ENS neurons were positive for either nNOS or ChAT or both. The nNOS and ChAT neurons and their processes in the ENS were well visualized in all the regions of the GI tract, i.e., esophagus, small intestine and colon. The number of nNOS and ChAT neurons was approximately same in the reporter mouse and immunostaining method in the wild type mouse. The nNOS fluorescence in the reporter mouse was seen in both cytoplasm as well as nucleus but in the immunostained specimens it was seen only in the cytoplasm. Conclusion We propose that the genetically engineered double reporter mouse for ChAT and nNOS proteins is a powerful tool to study of the effects of various diseases on the ENS without the need for immunostaining. PMID:28158225

  11. An integrative systems genetics approach reveals potential causal genes and pathways related to obesity.

    Science.gov (United States)

    Kogelman, Lisette J A; Zhernakova, Daria V; Westra, Harm-Jan; Cirera, Susanna; Fredholm, Merete; Franke, Lude; Kadarmideen, Haja N

    2015-10-20

    Obesity is a multi-factorial health problem in which genetic factors play an important role. Limited results have been obtained in single-gene studies using either genomic or transcriptomic data. RNA sequencing technology has shown its potential in gaining accurate knowledge about the transcriptome, and may reveal novel genes affecting complex diseases. Integration of genomic and transcriptomic variation (expression quantitative trait loci [eQTL] mapping) has identified causal variants that affect complex diseases. We integrated transcriptomic data from adipose tissue and genomic data from a porcine model to investigate the mechanisms involved in obesity using a systems genetics approach. Using a selective gene expression profiling approach, we selected 36 animals based on a previously created genomic Obesity Index for RNA sequencing of subcutaneous adipose tissue. Differential expression analysis was performed using the Obesity Index as a continuous variable in a linear model. eQTL mapping was then performed to integrate 60 K porcine SNP chip data with the RNA sequencing data. Results were restricted based on genome-wide significant single nucleotide polymorphisms, detected differentially expressed genes, and previously detected co-expressed gene modules. Further data integration was performed by detecting co-expression patterns among eQTLs and integration with protein data. Differential expression analysis of RNA sequencing data revealed 458 differentially expressed genes. The eQTL mapping resulted in 987 cis-eQTLs and 73 trans-eQTLs (false discovery rate genes and disease-associated single nucleotide polymorphisms to detect obesity-related genes and pathways. Building a co-expression network using eQTLs resulted in the detection of a module strongly associated with lipid pathways. Furthermore, we detected several obesity candidate genes, for example, ENPP1, CTSL, and ABHD12B. To our knowledge, this is the first study to perform an integrated genomics and

  12. Assessment of genetic diversity among Indian potato (Solanum tuberosum L.) collection using microsatellite and retrotransposon based marker systems.

    Science.gov (United States)

    Sharma, Vishakha; Nandineni, Madhusudan R

    2014-04-01

    Potato (Solanum tuberosum) is an important non-cereal crop throughout the world and is highly recommended for ensuring global food security. Owing to the complexities in genetics and inheritance pattern of potato, the conventional method of cross breeding for developing improved varieties has been difficult. Identification and tagging of desirable traits with informative molecular markers would aid in the development of improved varieties. Insertional polymorphism of copia-like and gypsy-like long terminal repeat retrotransposons (RTN) were investigated among 47 potato varieties from India using Inter-Retrotransposon Amplified Polymorphism (IRAP) and Retrotransposon Microsatellite Amplified Polymorphism (REMAP) marker techniques and were compared with the DNA profiles obtained with simple sequence repeats (SSRs). The genetic polymorphism, efficiency of polymorphism and effectiveness of marker systems were evaluated to assess the extent of genetic diversity among Indian potato varieties. A total of 139 polymorphic SSR alleles, 270 IRAP and 98 REMAP polymorphic bands, showing polymorphism of 100%, 87.9% and 68.5%, respectively, were used for detailed characterization of the genetic relationships among potato varieties by using cluster analysis and principal coordinate analysis (PCoA). IRAP analysis resulted in the highest number of polymorphic bands with an average of 15 polymorphic bands per assay unit when compared to the other two marker systems. Based on pair-wise comparison, the genetic similarity was calculated using Dice similarity coefficient. The SSRs showed a wide range in genetic similarity values (0.485-0.971) as compared to IRAP (0.69-0.911) and REMAP (0.713-0.947). A Mantel's matrix correspondence test showed a high positive correlation (r=0.6) between IRAP and REMAP, an intermediate value (r=0.58) for IRAP and SSR and the lowest value (r=0.17) for SSR and REMAP. Statistically significant cophenetic correlation coefficient values, of 0.961, 0.941 and 0

  13. Extreme genetic heterogeneity among the nine major tribal Taiwanese island populations detected with a new generation Y23 STR system.

    Science.gov (United States)

    Zeng, Zhaoshu; Garcia-Bertrand, Ralph; Calderon, Silvia; Li, Li; Zhong, Mingxia; Herrera, Rene J

    2014-09-01

    The Taiwanese aborigines have been regarded as the source populations for the Austronesian expansion that populated Oceania to the east and Madagascar off Africa to the West. Although a number of genetic studies have been performed on some of these important tribes, the scope of the investigations has been limited, varying in the specific populations examined as well as the maker systems employed. This has made direct comparison among studies difficult. In an attempt to alleviate this lacuna, we investigate, for the first time, the genetic diversity of all nine major Taiwanese aboriginal tribes (Ami, Atayal, Bunun, Rukai, Paiwan, Saisat, Puyuma, Tsou and Yami) utilizing a new generation multiplex Y-STR system that allows for the genotyping of 23 loci from a single amplification reaction. This comprehensive approach examining 293 individuals from all nine main tribes with the same battery of forensic markers provides for the much-needed equivalent data essential for comparative analyses. Our results have uncovered that these nine major aboriginal populations exhibit limited intrapopulation genetic diversity and are highly heterogeneous from each other, possibly the result of endogamy, isolation, drift and/or unique ancestral populations. Specifically, genetic diversity, discrimination capacity, fraction of unique haplotypes and the most frequent haplotypes differ among the nine tribes, with the Tsou possessing the lowest values for the first three of these parameters. The phylogenetic analyses performed indicate that the genetic diversity among all nine tribes is greater than the diversity observed among the worldwide reference populations examined, indicating an extreme case of genetic heterogeneity among these tribes that have lived as close neighbors for thousands of years confined to the limited geographical area of an island.

  14. Technical files. The HFC refrigerating fluids, the R 22 substitutes devoted to air conditioning; Fiches Techniques. Les fluides frigorigenes HFC, substituts du R 22 destines au conditionnement d`air

    Energy Technology Data Exchange (ETDEWEB)

    Guilpain, G. [Elf Atochem, 92 - Paris le Defense (France)

    1998-05-01

    Following the Montreal (Canada) protocol for the regulation of ozone destructive products, the air conditioning professionals have carried out a research work on possible substitutes to CFCs and HCFCs. The R 134a, R 407C and R 410A are todays standards defined for the replacement of the R 22. The R 134a is devoted to air conditioning systems of the industrial and tertiary sectors (> 250 kW), the R 407C concerns the residential and tertiary sectors, while the R 410A is under development for the domestic and residential systems (2-3 kW). The choice for a given substitute depends on regulatory, safety and technical criteria which are recalled in this paper. (J.S.)

  15. Using genetic algorithm feature selection in neural classification systems for image pattern recognition

    Directory of Open Access Journals (Sweden)

    Margarita R. Gamarra A.

    2012-09-01

    Full Text Available Pattern recognition performance depends on variations during extraction, selection and classification stages. This paper presents an approach to feature selection by using genetic algorithms with regard to digital image recognition and quality control. Error rate and kappa coefficient were used for evaluating the genetic algorithm approach Neural networks were used for classification, involving the features selected by the genetic algorithms. The neural network approach was compared to a K-nearest neighbor classifier. The proposed approach performed better than the other methods.

  16. Self-calibration of a noisy multiple-sensor system with genetic algorithms

    Science.gov (United States)

    Brooks, Richard R.; Iyengar, S. Sitharama; Chen, Jianhua

    1996-01-01

    This paper explores an image processing application of optimization techniques which entails interpreting noisy sensor data. The application is a generalization of image correlation; we attempt to find the optimal gruence which matches two overlapping gray-scale images corrupted with noise. Both taboo search and genetic algorithms are used to find the parameters which match the two images. A genetic algorithm approach using an elitist reproduction scheme is found to provide significantly superior results. The presentation includes a graphic presentation of the paths taken by tabu search and genetic algorithms when trying to find the best possible match between two corrupted images.

  17. Maintenance and expression of the S. cerevisiae mitochondrial genome--from genetics to evolution and systems biology.

    Science.gov (United States)

    Lipinski, Kamil A; Kaniak-Golik, Aneta; Golik, Pawel

    2010-01-01

    As a legacy of their endosymbiotic eubacterial origin, mitochondria possess a residual genome, encoding only a few proteins and dependent on a variety of factors encoded by the nuclear genome for its maintenance and expression. As a facultative anaerobe with well understood genetics and molecular biology, Saccharomyces cerevisiae is the model system of choice for studying nucleo-mitochondrial genetic interactions. Maintenance of the mitochondrial genome is controlled by a set of nuclear-coded factors forming intricately interconnected circuits responsible for replication, recombination, repair and transmission to buds. Expression of the yeast mitochondrial genome is regulated mostly at the post-transcriptional level, and involves many general and gene-specific factors regulating splicing, RNA processing and stability and translation. A very interesting aspect of the yeast mitochondrial system is the relationship between genome maintenance and gene expression. Deletions of genes involved in many different aspects of mitochondrial gene expression, notably translation, result in an irreversible loss of functional mtDNA. The mitochondrial genetic system viewed from the systems biology perspective is therefore very fragile and lacks robustness compared to the remaining systems of the cell. This lack of robustness could be a legacy of the reductive evolution of the mitochondrial genome, but explanations involving selective advantages of increased evolvability have also been postulated. Copyright © 2009 Elsevier B.V. All rights reserved.

  18. The molecular genetics and morphometry-based Endometrial Intraepithelial Neoplasia classification system predicts disease progression in Endometrial hyperplasia more accurately than the 1994 World Health Organization classification system

    NARCIS (Netherlands)

    Baak, JP; Mutter, GL; Robboy, S; van Diest, PJ; Uyterlinde, AM; Orbo, A; Palazzo, J; Fiane, B; Lovslett, K; Burger, C; Voorhorst, F; Verheijen, RH

    2005-01-01

    BACKGROUND. The objective of this study was to compare the accuracy of disease progression prediction of the molecular genetics and morphometry-based Endometrial Intraepithelial Neoplasia (EIN) and World Health Organization 1994 (WHO94) classification systems in patients with endometrial hyperplasia

  19. Genetic entities and mating system in hermaphroditic Fucus spiralis and its close dioecious relative F. vesiculosus (Fucaceae, Phaeophyceae).

    Science.gov (United States)

    Engel, C R; Daguin, C; Serrão, E A

    2005-06-01

    To date, molecular markers have not settled the question of the specific status of the closely related, but phylogenetically unresolved, brown seaweeds, hermaphroditic Fucus spiralis and dioecious Fucus vesiculosus, nor their propensity for natural hybridization. To test the degree of species integrity and to assess effect of the mating system on the population genetic structure, 288 individuals coming from parapatric (discontinuous) and sympatric (contiguous) spatial configurations at two sites were genotyped with five microsatellite loci. Using a Bayesian admixture analysis, our results show that F. spiralis and F. vesiculosus comprise clearly distinct genetic entities (clusters) generally characterized by cosexual and unisexual individuals, respectively. Genetic diversity within each entity suggests that F. spiralis reproduces primarily through selfing while F. vesiculosus is characterized by an endogamous breeding regime. Nevertheless, aberrant sexual phenotypes were observed in each cluster, no diagnostic alleles were revealed and 10% of study individuals were intermediate between the two genetic entities. This pattern can be explained by recent divergence of two taxa with retention of ancestral polymorphism or asymmetrical, introgressive hybridization. However, given (i) coincident monomorphism at three loci in spiralis clusters and (ii) that significantly more intermediates were observed in sympatric stations than in parapatric stations, we argue that interspecific gene flow has occurred after divergence of the two taxa. Finally, we show that whether recently separated or recently introgressive, the divergent breeding systems probably contribute to species integrity in these two taxa.

  20. Effect of selective logging on genetic diversity and gene flow in Cariniana legalis sampled from a cacao agroforestry system.

    Science.gov (United States)

    Leal, J B; Santos, R P; Gaiotto, F A

    2014-01-28

    The fragments of the Atlantic Forest of southern Bahia have a long history of intense logging and selective cutting. Some tree species, such as jequitibá rosa (Cariniana legalis), have experienced a reduction in their populations with respect to both area and density. To evaluate the possible effects of selective logging on genetic diversity, gene flow, and spatial genetic structure, 51 C. legalis individuals were sampled, representing the total remaining population from the cacao agroforestry system. A total of 120 alleles were observed from the 11 microsatellite loci analyzed. The average observed heterozygosity (0.486) was less than the expected heterozygosity (0.721), indicating a loss of genetic diversity in this population. A high fixation index (FIS = 0.325) was found, which is possibly due to a reduction in population size, resulting in increased mating among relatives. The maximum (1055 m) and minimum (0.095 m) distances traveled by pollen or seeds were inferred based on paternity tests. We found 36.84% of unique parents among all sampled seedlings. The progenitors of the remaining seedlings (63.16%) were most likely out of the sampled area. Positive and significant spatial genetic structure was identified in this population among classes 10 to 30 m away with an average coancestry coefficient between pairs of individuals of 0.12. These results suggest that the agroforestry system of cacao cultivation is contributing to maintaining levels of diversity and gene flow in the studied population, thus minimizing the effects of selective logging.