From Behaviorism to Connectivism of Modern E-Learning

Directory of Open Access Journals (Sweden)

Zbigniew Meger

2012-06-01

Full Text Available Wider use of e-learning methods and universality of learning platform encourage to running learning processes in different forms and to preparing new teaching materials. However, it appears that such materials are usually prepared in the simplest form of programmed learning course, where knowledge is transmitted in form of programmed instruction without or only with a weak feedback from the learner. Meanwhile, in the past four decades are developing cognitive methods, which are only slightly reflected in nowadays techniques and methods of distance learning. However, it appears in the last years, that the important role in education can play constructivism, whose ideas can be also implement in distance learning environment. All of these trends is trying to cover the theory of connectivism, and glimpse of this theory can indicate the opportunities and threats of modern e-learning.

Modern machine learning techniques and their applications in cartoon animation research

CERN Document Server

Yu, Jun

2013-01-01

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations

The Lifelong Learning as a Modern Educational Paradigm [In Bulgarian

Directory of Open Access Journals (Sweden)

C. Katansky

2008-06-01

Full Text Available Lifelong learning, life-wide learning, continuing education, vocational education, professional education of adults, formal education, informal education, permanent education, etc. – the author of the present article seeks the relationships between these widely used terms and traces through the history of their introduction in the modern educational theory and practice.

DLVM: A modern compiler infrastructure for deep learning systems

OpenAIRE

Wei, Richard; Schwartz, Lane; Adve, Vikram

2017-01-01

Deep learning software demands reliability and performance. However, many of the existing deep learning frameworks are software libraries that act as an unsafe DSL in Python and a computation graph interpreter. We present DLVM, a design and implementation of a compiler infrastructure with a linear algebra intermediate representation, algorithmic differentiation by adjoint code generation, domain-specific optimizations and a code generator targeting GPU via LLVM. Designed as a modern compiler ...

Language learning strategy research and modern foreign language teaching and learning in England

OpenAIRE

Grenfell, Michael

2005-01-01

This paper addresses language learner strategy research. It arises from two sources: firstly, an individual background in research and writing about Language Learning Strategy research in the context of Modern Foreign Language Learning and Teaching in the UK over the past decades; secondly, a newly constituted British based interest group dedicated to this area of applied linguistics - UK Project on Language Learner Strategies (UKPOLLS). The aim of this SIG paper is to introduce and present t...

Effectiveness of students worksheet based on mastery learning in genetics subject

Science.gov (United States)

Megahati, R. R. P.; Yanti, F.; Susanti, D.

2018-05-01

Genetics is one of the subjects that must be followed by students in Biology education department. Generally, students do not like the genetics subject because of genetics concepts difficult to understand and the unavailability of a practical students worksheet. Consequently, the complete learning process (mastery learning) is not fulfilled and low students learning outcomes. The aim of this study develops student worksheet based on mastery learning that practical in genetics subject. This research is a research and development using 4-D models. The data analysis technique used is the descriptive analysis that describes the results of the practicalities of students worksheets based on mastery learning by students and lecturer of the genetic subject. The result is the student worksheet based on mastery learning on genetics subject are to the criteria of 80,33% and 80,14%, which means that the students worksheet practical used by lecturer and students. Student’s worksheet based on mastery learning effective because it can increase the activity and student learning outcomes.

Genetic manipulations in aquaculture: a review of stock improvement by classical and modern technologies.

Science.gov (United States)

Hulata, G

2001-01-01

The aim of this review was to highlight the extent to which the genetic technologies are implemented by the aquaculture industry. The review shows that some of the modern genetic technologies are already extensively applied by the diverse aquaculture industries, though not to the same extent for all important aquacultured species (according to FAO 1998 figures). Some species (common carp, Atlantic salmon, rainbow trout, channel catfish, Nile tilapia, and the Pacific oyster) received concentrated breeding efforts, while other major cultured species (Chinese and Indian carps and the giant tiger shrimp) received, so far, relatively limited attention, and a few species (Yesso scallop, blue mussel, white Amur bream, and milkfish) have, apparently, not been genetically improved at all. Most of the genetically improved strains reaching the aquaculture industry were developed through traditional selective breeding (selection, crossbreeding, and hybridization). Emerging, more modern technologies for genetic manipulation seem to take 10-20 years from being established experimentally until applications affect the industry. Thus, chromosome-set and sex manipulations started to affect the industry during the 1980's and 1990's. DNA marker technology and gene manipulations have yet hardly affected the industry. The former have not matured yet, but hold much promise. The latter could have affected the industry already had it not been restricted by public concern.

The mtDNA haplogroup P of modern Asian cattle: A genetic legacy of Asian aurochs?

Science.gov (United States)

Noda, Aoi; Yonesaka, Riku; Sasazaki, Shinji

2018-01-01

Background Aurochs (Bos primigenius) were distributed throughout large parts of Eurasia and Northern Africa during the late Pleistocene and the early Holocene, and all modern cattle are derived from the aurochs. Although the mtDNA haplogroups of most modern cattle belong to haplogroups T and I, several additional haplogroups (P, Q, R, C and E) have been identified in modern cattle and aurochs. Haplogroup P was the most common haplogroup in European aurochs, but so far, it has been identified in only three of >3,000 submitted haplotypes of modern Asian cattle. Methodology We sequenced the complete mtDNA D-loop region of 181 Japanese Shorthorn cattle and analyzed these together with representative bovine mtDNA sequences. The haplotype P of Japanese Shorthorn cattle was analyzed along with that of 36 previously published European aurochs and three modern Asian cattle sequences using the hypervariable 410 bp of the D-loop region. Conclusions We detected the mtDNA haplogroup P in Japanese Shorthorn cattle with an extremely high frequency (83/181). Phylogenetic networks revealed two main clusters, designated as Pa for haplogroup P in European aurochs and Pc in modern Asian cattle. We also report the genetic diversity of haplogroup P compared with the sequences of extinct aurochs. No shared haplotypes are observed between the European aurochs and the modern Asian cattle. This finding suggests the possibility of local and secondary introgression events of haplogroup P in northeast Asian cattle, and will contribute to a better understanding of its origin and genetic diversity. PMID:29304129

The mtDNA haplogroup P of modern Asian cattle: A genetic legacy of Asian aurochs?

Science.gov (United States)

Noda, Aoi; Yonesaka, Riku; Sasazaki, Shinji; Mannen, Hideyuki

2018-01-01

Aurochs (Bos primigenius) were distributed throughout large parts of Eurasia and Northern Africa during the late Pleistocene and the early Holocene, and all modern cattle are derived from the aurochs. Although the mtDNA haplogroups of most modern cattle belong to haplogroups T and I, several additional haplogroups (P, Q, R, C and E) have been identified in modern cattle and aurochs. Haplogroup P was the most common haplogroup in European aurochs, but so far, it has been identified in only three of >3,000 submitted haplotypes of modern Asian cattle. We sequenced the complete mtDNA D-loop region of 181 Japanese Shorthorn cattle and analyzed these together with representative bovine mtDNA sequences. The haplotype P of Japanese Shorthorn cattle was analyzed along with that of 36 previously published European aurochs and three modern Asian cattle sequences using the hypervariable 410 bp of the D-loop region. We detected the mtDNA haplogroup P in Japanese Shorthorn cattle with an extremely high frequency (83/181). Phylogenetic networks revealed two main clusters, designated as Pa for haplogroup P in European aurochs and Pc in modern Asian cattle. We also report the genetic diversity of haplogroup P compared with the sequences of extinct aurochs. No shared haplotypes are observed between the European aurochs and the modern Asian cattle. This finding suggests the possibility of local and secondary introgression events of haplogroup P in northeast Asian cattle, and will contribute to a better understanding of its origin and genetic diversity.

Modern technologies of e-learning

Directory of Open Access Journals (Sweden)

G. A. gyzy Mamedova

2017-01-01

Full Text Available E-learning constitutes a significant competition to traditional education in many countries and has become a major tool for the modernization of education and economic growth. For the development and implementation of successful e-learning systems, we need technologies that allow working with them for any number of users, providing a good learning environment. The article provides an overview of the technologies used in foreign universities for managing e-learning, such as 3D technologies in training programs, interactive technologies, personalization of learning using cloud computing and big data technologies. It is shown that today quite a large number of software and hardware development was created and introduced, implementing various mechanisms of introducing information technologies in the educational process. One of such developments is the use of adaptive technologies in the learning process, allowing the student to adapt to the training material, choose the suitable method of mastering the material, and adjust the intensity of training at different stages of the learning process. Another development of information technologies in education is the use of cloud computing, allowing access to educational resources for teachers, students, and managers of the education system. It was revealed that the use of cloud technologies leads to a significant decrease in material costs for the purchase of expensive equipment and software, educational content from the cloud can be accessed from any device (laptop, smartphone, tablet, etc. and at a convenient time for the learner, it is enough to have Internet connection and a browser. In the e-learning environment, there are many different types of data, both structured and unstructured, processing of which is difficult to implement using traditional statistical methods. For the processing of such data technologies of processing big data are used such as NoSQL and Hadoop. The article shows that the

Modern Library Facilities to Enhance Learning in a Teachers' College

African Journals Online (AJOL)

unique firstlady

Modern facilities/Equipments in the library that can aid effective utilization of ... we acquire the education by imitation or learning through the process of “doing it .... spent while searching for materials compared to traditional services method.

From globalist to cosmopolitan learning: on the reflexive modernization of teacher education

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Niclas Rönnström

2013-01-01

Full Text Available In this article, I discuss teacher education reform and the work of teachers in light of globalization and reflexive modernization. Increasing globalization has meant changed conditions for national education traditionally geared toward nation building and to the nationalizing of lifeworlds. It is assumed that the global economy has made knowledge and lifelong learning essential to economic growth, and governments have considered their citizens, teachers, and schools to be poorly trained for the demands of knowledge economies. Consequently, nation-states have invested massively in teacher education because of the vital role effective high-quality teachers are expected to play in preparation for working on global markets and for the competitive edge of nations. However, recent teacher education reform can be criticized for a one-sided orientation toward principles of economic growth, effectiveness, and competitiveness at the expense of other important educational aims, such as the development of reflective and communicative capacities and education for cosmopolitan citizenship. Moreover, recent teacher education reform in various nation-states seems to neglect how processes of reflexive modernization profoundly change schools, society, and the teaching situation, and undermine the principles that marked earlier phases of nation-centered modernization. I discuss teacher education and the work of teachers as reflexive modern practices and phenomena within the framework of critical social theory, and I mainly use Ulrich Beck's theory of reflexive modernization. I argue that increased reflexivity, institutionalized individualization, and cosmopolitization constitute reasons for the re-contextualization of teacher education away from the uncritical influence of the primacy of the economy, instrumental rationalization, and other principles of modernization that are now running dry. In the final part, I discuss the importance of moving from a mainly

Genetic classification of populations using supervised learning.

Directory of Open Access Journals (Sweden)

Michael Bridges

2011-05-01

Full Text Available There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are geographically separated, case-control studies and quality control (when participants in a study have been genotyped at different laboratories. This latter application is of particular importance in the era of large scale genome wide association studies, when collections of individuals genotyped at different locations are being merged to provide increased power. The traditional method for detecting structure within a population is some form of exploratory technique such as principal components analysis. Such methods, which do not utilise our prior knowledge of the membership of the candidate populations. are termed unsupervised. Supervised methods, on the other hand are able to utilise this prior knowledge when it is available.In this paper we demonstrate that in such cases modern supervised approaches are a more appropriate tool for detecting genetic differences between populations. We apply two such methods, (neural networks and support vector machines to the classification of three populations (two from Scotland and one from Bulgaria. The sensitivity exhibited by both these methods is considerably higher than that attained by principal components analysis and in fact comfortably exceeds a recently conjectured theoretical limit on the sensitivity of unsupervised methods. In particular, our methods can distinguish between the two Scottish populations, where principal components analysis cannot. We suggest, on the basis of our results that a supervised learning approach should be the method of choice when classifying individuals into pre-defined populations, particularly in quality control for large scale genome wide association studies.

Genetic classification of populations using supervised learning.

LENUS (Irish Health Repository)

Bridges, Michael

2011-01-01

There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are geographically separated, case-control studies and quality control (when participants in a study have been genotyped at different laboratories). This latter application is of particular importance in the era of large scale genome wide association studies, when collections of individuals genotyped at different locations are being merged to provide increased power. The traditional method for detecting structure within a population is some form of exploratory technique such as principal components analysis. Such methods, which do not utilise our prior knowledge of the membership of the candidate populations. are termed unsupervised. Supervised methods, on the other hand are able to utilise this prior knowledge when it is available.In this paper we demonstrate that in such cases modern supervised approaches are a more appropriate tool for detecting genetic differences between populations. We apply two such methods, (neural networks and support vector machines) to the classification of three populations (two from Scotland and one from Bulgaria). The sensitivity exhibited by both these methods is considerably higher than that attained by principal components analysis and in fact comfortably exceeds a recently conjectured theoretical limit on the sensitivity of unsupervised methods. In particular, our methods can distinguish between the two Scottish populations, where principal components analysis cannot. We suggest, on the basis of our results that a supervised learning approach should be the method of choice when classifying individuals into pre-defined populations, particularly in quality control for large scale genome wide association studies.

Genetic disruptions of Drosophila Pavlovian learning leave extinction learning intact.

Science.gov (United States)

Qin, H; Dubnau, J

2010-03-01

Individuals who experience traumatic events may develop persistent posttraumatic stress disorder. Patients with this disorder are commonly treated with exposure therapy, which has had limited long-term success. In experimental neurobiology, fear extinction is a model for exposure therapy. In this behavioral paradigm, animals are repeatedly exposed in a safe environment to the fearful stimulus, which leads to greatly reduced fear. Studying animal models of extinction already has lead to better therapeutic strategies and development of new candidate drugs. Lack of a powerful genetic model of extinction, however, has limited progress in identifying underlying molecular and genetic factors. In this study, we established a robust behavioral paradigm to study the short-term effect (acquisition) of extinction in Drosophila melanogaster. We focused on the extinction of olfactory aversive 1-day memory with a task that has been the main workhorse for genetics of memory in flies. Using this paradigm, we show that extinction can inhibit each of two genetically distinct forms of consolidated memory. We then used a series of single-gene mutants with known impact on associative learning to examine the effects on extinction. We find that extinction is intact in each of these mutants, suggesting that extinction learning relies on different molecular mechanisms than does Pavlovian learning.

Gardens of Situations: Learning from the Danish Modern Landscape

DEFF Research Database (Denmark)

Boris, Stefan Darlan

2009-01-01

of an interlacing of understanding and space.” (Sieverts, 2007) Learning from a series of modern Danish landscape architectural projects by Brandt, Sørensen and Andersson I will define a specific form for gardening – and more importantly a specific form for gathering – which I call „Gardens of Situations...

Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments

Directory of Open Access Journals (Sweden)

Hagiwara N

2017-12-01

Full Text Available Nobuko Hagiwara Division of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, University of California, Davis, CA, USA Abstract: The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students’ skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students’ competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules’ learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed. Keywords

Human fertility, molecular genetics, and natural selection in modern societies.

Directory of Open Access Journals (Sweden)

Felix C Tropf

Full Text Available Research on genetic influences on human fertility outcomes such as number of children ever born (NEB or the age at first childbirth (AFB has been solely based on twin and family-designs that suffer from problematic assumptions and practical limitations. The current study exploits recent advances in the field of molecular genetics by applying the genomic-relationship-matrix based restricted maximum likelihood (GREML methods to quantify for the first time the extent to which common genetic variants influence the NEB and the AFB of women. Using data from the UK and the Netherlands (N = 6,758, results show significant additive genetic effects on both traits explaining 10% (SE = 5 of the variance in the NEB and 15% (SE = 4 in the AFB. We further find a significant negative genetic correlation between AFB and NEB in the pooled sample of -0.62 (SE = 0.27, p-value = 0.02. This finding implies that individuals with genetic predispositions for an earlier AFB had a reproductive advantage and that natural selection operated not only in historical, but also in contemporary populations. The observed postponement in the AFB across the past century in Europe contrasts with these findings, suggesting an evolutionary override by environmental effects and underscoring that evolutionary predictions in modern human societies are not straight forward. It emphasizes the necessity for an integrative research design from the fields of genetics and social sciences in order to understand and predict fertility outcomes. Finally, our results suggest that we may be able to find genetic variants associated with human fertility when conducting GWAS-meta analyses with sufficient sample size.

The development of metacognitive-based genetic learning ...

African Journals Online (AJOL)

The development of metacognitive-based genetic learning Instruments at senior ... The results of the research are learning instrument product and textbook whose ... that these instruments have satisfied the criteria: very valid and very ideal.

Modern Languages and Specific Learning Difficulties (SpLD): Implications of Teaching Adult Learners with Dyslexia in Distance Learning

Science.gov (United States)

Gallardo, Matilde; Heiser, Sarah; Arias McLaughlin, Ximena

2015-01-01

In modern language (ML) distance learning programmes, teachers and students use online tools to facilitate, reinforce and support independent learning. This makes it essential for teachers to develop pedagogical expertise in using online communication tools to perform their role. Teachers frequently raise questions of how best to support the needs…

Public health genetic counselors: activities, skills, and sources of learning.

Science.gov (United States)

McWalter, Kirsty M; Sdano, Mallory R; Dave, Gaurav; Powell, Karen P; Callanan, Nancy

2015-06-01

Specialization within genetic counseling is apparent, with 29 primary specialties listed in the National Society of Genetic Counselors' 2012 Professional Status Survey (PSS). PSS results show a steady proportion of genetic counselors primarily involved in public health, yet do not identify all those performing public health activities. Little is known about the skills needed to perform activities outside of "traditional" genetic counselor roles and the expertise needed to execute those skills. This study aimed to identify genetic counselors engaging in public health activities, the skills used, and the most influential sources of learning for those skills. Participants (N = 155) reported involvement in several public health categories: (a) Education of Public and/or Health Care Providers (n = 80, 52 %), (b) Population-Based Screening Programs (n = 70, 45 %), (c) Lobbying/Public Policy (n = 62, 40 %), (d) Public Health Related Research (n = 47, 30 %), and (e) State Chronic Disease Programs (n = 12, 8 %). Regardless of category, "on the job" was the most common primary source of learning. Genetic counseling training program was the most common secondary source of learning. Results indicate that the number of genetic counselors performing public health activities is likely higher than PSS reports, and that those who may not consider themselves "public health genetic counselors" do participate in public health activities. Genetic counselors learn a diverse skill set in their training programs; some skills are directly applicable to public health genetics, while other public health skills require additional training and/or knowledge.

Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments.

Science.gov (United States)

Hagiwara, Nobuko

2017-01-01

The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students' skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs) in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students' competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules' learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed.

Learning Intelligent Genetic Algorithms Using Japanese Nonograms

Science.gov (United States)

Tsai, Jinn-Tsong; Chou, Ping-Yi; Fang, Jia-Cen

2012-01-01

An intelligent genetic algorithm (IGA) is proposed to solve Japanese nonograms and is used as a method in a university course to learn evolutionary algorithms. The IGA combines the global exploration capabilities of a canonical genetic algorithm (CGA) with effective condensed encoding, improved fitness function, and modified crossover and…

MODERN OR TRADITIONAL TEACHING STRATEGY IN LEARNING ENGINEERING MATHEMATICS COURSE

Directory of Open Access Journals (Sweden)

N. RAZALI

2016-11-01

Full Text Available First-year engineering students of the Faculty of Engineering and Built Environment, UKM are in the process of transition in the way they learn mathematics from pre-university level to the undergraduate level. It is essential for good engineers to have the ability to unfold mathematical problems in an efficient way. Thus, this research is done to investigate students preference in learning KKKQ1123 Engineering Mathematics I (Vector Calculus (VC course; either individually or in a team; using modern (e-learning or traditional (cooperative-learning teaching strategy. Questionnaires are given to the first year Chemical and Process Engineering students from academic year 2015/2016 and the results were analysed. Based on the finding, the students believed that the physical educators or teachers play an important role and that they have slightest preference in the traditional teaching strategy to learn engineering mathematics course.

A 100-Year Review: Methods and impact of genetic selection in dairy cattle-From daughter-dam comparisons to deep learning algorithms.

Science.gov (United States)

Weigel, K A; VanRaden, P M; Norman, H D; Grosu, H

2017-12-01

In the early 1900s, breed society herdbooks had been established and milk-recording programs were in their infancy. Farmers wanted to improve the productivity of their cattle, but the foundations of population genetics, quantitative genetics, and animal breeding had not been laid. Early animal breeders struggled to identify genetically superior families using performance records that were influenced by local environmental conditions and herd-specific management practices. Daughter-dam comparisons were used for more than 30 yr and, although genetic progress was minimal, the attention given to performance recording, genetic theory, and statistical methods paid off in future years. Contemporary (herdmate) comparison methods allowed more accurate accounting for environmental factors and genetic progress began to accelerate when these methods were coupled with artificial insemination and progeny testing. Advances in computing facilitated the implementation of mixed linear models that used pedigree and performance data optimally and enabled accurate selection decisions. Sequencing of the bovine genome led to a revolution in dairy cattle breeding, and the pace of scientific discovery and genetic progress accelerated rapidly. Pedigree-based models have given way to whole-genome prediction, and Bayesian regression models and machine learning algorithms have joined mixed linear models in the toolbox of modern animal breeders. Future developments will likely include elucidation of the mechanisms of genetic inheritance and epigenetic modification in key biological pathways, and genomic data will be used with data from on-farm sensors to facilitate precision management on modern dairy farms. Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Adult learning in modernity

DEFF Research Database (Denmark)

Rasmussen, Palle

2007-01-01

The paper discusses the conditions for the growth of adult education in modern societies. It is argued that in modern adult life individual biographical reflection plays an increasing role, not only for educational and occupational choice but also in the process of identity formation and emotional...

[The development of molecular human genetics and its significance for perspectives of modern medicine].

Science.gov (United States)

Coutelle, C; Speer, A; Grade, K; Rosenthal, A; Hunger, H D

1989-01-01

The introduction of molecular human genetics has become a paradigma for the application of genetic engineering in medicine. The main principles of this technology are the isolation of molecular probes, their application in hybridization reactions, specific gene-amplification by the polymerase chain reaction, and DNA sequencing reactions. These methods are used for the analysis of monogenic diseases by linkage studies and the elucidation of the molecular defect causing these conditions, respectively. They are also the basis for genomic diagnosis of monogenic diseases, introduced into the health care system of the GDR by a national project on Duchenne/Becker muscular dystrophy, Cystic Fibrosis and Phenylketonuria. The rapid development of basic research on the molecular analysis of the human genome and genomic diagnosis indicates, that human molecular genetics is becoming a decisive basic discipline of modern medicine.

Assessment of Student Learning in Modern Experiments in the Introductory Calculus-Based Physics Labs

Science.gov (United States)

Woodahl, Brian; Ross, John; Lang, Sarah; Scott, Derek; Williams, Jeremy

2010-10-01

With the advent of newer microelectronic sensors it's now possible to modernize introductory physics labs with the latest technology and this may allow for enhanced student participation/learning in the experiments. For example, force plate sensors can digitize and record the force on an object, later it can be analyzed in detail (i.e, impulse from force vs. time). Small 3-axis accelerometers can record 3-dim, time-dependent acceleration of objects undergoing complex motions. These devices are small, fairly easy to use, and importantly, are likely to enhance student learning by ``personalizing'' data collection, i.e. making the student an active part of the measurement process and no longer a passive observer. To assess whether these new high-tech labs enhance student learning, we have implemented pre- and post- test sessions to measure the effectiveness of student learning. Four of our calculus-based lab sections were used: Two sections the control group, using the previous ``old technology'' labs, the other two, the experimental group, using the new ``modern technology'' labs. Initial returns of assessment data offer some surprising insight.

Machine Learning in Production Systems Design Using Genetic Algorithms

OpenAIRE

Abu Qudeiri Jaber; Yamamoto Hidehiko Rizauddin Ramli

2008-01-01

To create a solution for a specific problem in machine learning, the solution is constructed from the data or by use a search method. Genetic algorithms are a model of machine learning that can be used to find nearest optimal solution. While the great advantage of genetic algorithms is the fact that they find a solution through evolution, this is also the biggest disadvantage. Evolution is inductive, in nature life does not evolve towards a good solution but it evolves aw...

Strains and Stressors: An Analysis of Touchscreen Learning in Genetically Diverse Mouse Strains

Science.gov (United States)

Graybeal, Carolyn; Bachu, Munisa; Mozhui, Khyobeni; Saksida, Lisa M.; Bussey, Timothy J.; Sagalyn, Erica; Williams, Robert W.; Holmes, Andrew

2014-01-01

Touchscreen-based systems are growing in popularity as a tractable, translational approach for studying learning and cognition in rodents. However, while mouse strains are well known to differ in learning across various settings, performance variation between strains in touchscreen learning has not been well described. The selection of appropriate genetic strains and backgrounds is critical to the design of touchscreen-based studies and provides a basis for elucidating genetic factors moderating behavior. Here we provide a quantitative foundation for visual discrimination and reversal learning using touchscreen assays across a total of 35 genotypes. We found significant differences in operant performance and learning, including faster reversal learning in DBA/2J compared to C57BL/6J mice. We then assessed DBA/2J and C57BL/6J for differential sensitivity to an environmental insult by testing for alterations in reversal learning following exposure to repeated swim stress. Stress facilitated reversal learning (selectively during the late stage of reversal) in C57BL/6J, but did not affect learning in DBA/2J. To dissect genetic factors underlying these differences, we phenotyped a family of 27 BXD strains generated by crossing C57BL/6J and DBA/2J. There was marked variation in discrimination, reversal and extinction learning across the BXD strains, suggesting this task may be useful for identifying underlying genetic differences. Moreover, different measures of touchscreen learning were only modestly correlated in the BXD strains, indicating that these processes are comparatively independent at both genetic and phenotypic levels. Finally, we examined the behavioral structure of learning via principal component analysis of the current data, plus an archival dataset, totaling 765 mice. This revealed 5 independent factors suggestive of “reversal learning,” “motivation-related late reversal learning,” “discrimination learning,” “speed to respond,” and �

Classification and learning using genetic algorithms applications in Bioinformatics and Web Intelligence

CERN Document Server

Bandyopadhyay, Sanghamitra

2007-01-01

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks.

Technology Integration in Science Education: A Study of How Teachers Use Modern Learning Technologies in Biology Classrooms

Science.gov (United States)

Gnanakkan, Dionysius Joseph

2017-01-01

This multiple case-study investigated how high school biology teachers used modern learning technologies (probes, interactive simulations and animations, animated videos) in their classrooms and why they used the learning technologies. Another objective of the study was to assess whether the use of learning technologies alleviated misconceptions…

Visual and Verbal Learning in a Genetic Metabolic Disorder

Science.gov (United States)

Spilkin, Amy M.; Ballantyne, Angela O.; Trauner, Doris A.

2009-01-01

Visual and verbal learning in a genetic metabolic disorder (cystinosis) were examined in the following three studies. The goal of Study I was to provide a normative database and establish the reliability and validity of a new test of visual learning and memory (Visual Learning and Memory Test; VLMT) that was modeled after a widely used test of…

Machine learning applications in genetics and genomics.

Science.gov (United States)

Libbrecht, Maxwell W; Noble, William Stafford

2015-06-01

The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets. Here, we provide an overview of machine learning applications for the analysis of genome sequencing data sets, including the annotation of sequence elements and epigenetic, proteomic or metabolomic data. We present considerations and recurrent challenges in the application of supervised, semi-supervised and unsupervised machine learning methods, as well as of generative and discriminative modelling approaches. We provide general guidelines to assist in the selection of these machine learning methods and their practical application for the analysis of genetic and genomic data sets.

Modern aspects of the e-learning usage in the field of physical culture

Directory of Open Access Journals (Sweden)

Andriy Marakushyn

2017-06-01

Full Text Available Purpose: actualize the introduction of e-learning to motivate students to engage in movement activity. Material & Methods: method of generalization and analysis are selected, which was used to study the approaches, definitions and results of the study among different authors on the research topic. Results: generalized and analyzed: approaches to the formation of motivation in students for movement activity; definition of e-learning; results of the introduction of e-learning in the educational process of students from different authors. Conclusion: it is proved that the approaches of different authors on motivating students to movement activity do not include the use of modern e-learning tools; it is established that e-learning can be an excellent complement to the full-time form of education; directions for further scientific research are updated.

Comics in Modern Physics: Learning Blackbody Radiation through Quasi-History of Physics

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Ozdemir, Ertugrul

2017-01-01

The purpose of this study is to create a short comic story about historical emergence of Planck's explanation of blackbody radiation and to investigate what students learn from it and what they think about the usage of comics in modern physics course. The participants are a small group of undergraduate students studying at department of science…

A Perfect Ecosystem for Learning? Modern Thoughts for Organizing Higher Education

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Pasi Juvonen

2018-01-01

Full Text Available The background of the article lies in South Eastern Finland, in Lappeenranta, where an active University campus has attracted a group of ICT startups as well as SME’s in the field to collaboration. The novel education approach also has another remarkable role as a developer and source of innovation. An experimental development ecosystem (EDE, where learning of knowledge, skills and character are combined, is presented in the article. Also future paths of the EDE are discussed. Companies in the ICT field worldwide are in constant need of competent experts who are ready to adopt the new tools and, at the same time, have an entrepreneurial mindset. We argue that inspiring students to learn through appropriate learning methods and providing them with a modern learning environment comes first. ICT tools, applications and systems to support learning objectives come second. The model presented in the article has been studied for some years as action research. The learning methods that have been found beneficial in IT and marketing bachelor education have been spread to other bachelor and master study programs as well. Results from the data show that students who study as team entrepreneurs have learned content knowledge, meta-skills and reflection skills via the learner-centric methods used in EDE. They have also been inspired to employ new ICT tools and applications to support their learning and project work.

Population genomic analysis of ancient and modern genomes yields new insights into the genetic ancestry of the Tyrolean Iceman and the genetic structure of Europe.

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Martin Sikora

2014-05-01

Full Text Available Genome sequencing of the 5,300-year-old mummy of the Tyrolean Iceman, found in 1991 on a glacier near the border of Italy and Austria, has yielded new insights into his origin and relationship to modern European populations. A key finding of that study was an apparent recent common ancestry with individuals from Sardinia, based largely on the Y chromosome haplogroup and common autosomal SNP variation. Here, we compiled and analyzed genomic datasets from both modern and ancient Europeans, including genome sequence data from over 400 Sardinians and two ancient Thracians from Bulgaria, to investigate this result in greater detail and determine its implications for the genetic structure of Neolithic Europe. Using whole-genome sequencing data, we confirm that the Iceman is, indeed, most closely related to Sardinians. Furthermore, we show that this relationship extends to other individuals from cultural contexts associated with the spread of agriculture during the Neolithic transition, in contrast to individuals from a hunter-gatherer context. We hypothesize that this genetic affinity of ancient samples from different parts of Europe with Sardinians represents a common genetic component that was geographically widespread across Europe during the Neolithic, likely related to migrations and population expansions associated with the spread of agriculture.

Educational Contribution of RPG Video Games: Modern Media in Modern Education

OpenAIRE

Kratochvíl, Martin

2014-01-01

TITLE OF WORK: The Educational Contribution of RPG Video Games: Modern Media in Modern Education AUTHOR: Martin Kratochvíl KEY WORDS: video games, RPG genre, modern education, critical thinking, language learning, student's motivation DEPARTMENT: Department of English Language and Literature Charles University in Prague, Faculty of Education SUPERVISOR: Mark Robert Farrell ABSTRACT: The subject of this topic is to research the potential contribution of RPG video games in the field of modern e...

The Effect of Case Teaching on Meaningful and Retentive Learning When Studying Genetic Engineering

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Güccük, Ahmet; Köksal, Mustafa Serdar

2017-01-01

The purpose of this study is to investigate the effects of case teaching on how students learn about genetic engineering, in terms of meaningful learning and retention of learning. The study was designed as quasi-experimental research including 63 8th graders (28 boys and 35 girls). To collect data, genetic engineering achievement tests were…

Genetic dissection of behavioral flexibility: reversal learning in mice.

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Laughlin, Rick E; Grant, Tara L; Williams, Robert W; Jentsch, J David

2011-06-01

Behavioral inflexibility is a feature of schizophrenia, attention-deficit/hyperactivity disorder, and behavior addictions that likely results from heritable deficits in the inhibitory control over behavior. Here, we investigate the genetic basis of individual differences in flexibility, measured using an operant reversal learning task. We quantified discrimination acquisition and subsequent reversal learning in a cohort of 51 BXD strains of mice (2-5 mice/strain, n = 176) for which we have matched data on sequence, gene expression in key central nervous system regions, and neuroreceptor levels. Strain variation in trials to criterion on acquisition and reversal was high, with moderate heritability (∼.3). Acquisition and reversal learning phenotypes did not covary at the strain level, suggesting that these traits are effectively under independent genetic control. Reversal performance did covary with dopamine D2 receptor levels in the ventral midbrain, consistent with a similar observed relationship between impulsivity and D2 receptors in humans. Reversal, but not acquisition, is linked to a locus on mouse chromosome 10 with a peak likelihood ratio statistic at 86.2 megabase (p work demonstrates the clear trait independence between, and genetic control of, discrimination acquisition and reversal and illustrates how globally coherent data sets for a single panel of highly related strains can be interrogated and integrated to uncover genetic sources and molecular and neuropharmacological candidates of complex behavioral traits relevant to human psychopathology. Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Situating cognitive/socio-cognitive approaches to student learning in genetics

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Kindfield, Ann C. H.

2009-03-01

In this volume, Furberg and Arnseth report on a study of genetics learning from a socio-cultural perspective, focusing on students' meaning making as they engage in collaborative problem solving. Throughout the paper, they criticize research on student understanding and conceptual change conducted from a cognitive/socio-cognitive perspective on several reasonable grounds. However, their characterization of work undertaken from this perspective sometimes borders on caricature, failing to acknowledge the complexities of the research and the contexts within which it has been carried out. In this commentary, I expand their characterization of the cognitive/socio-cognitive perspective in general and situate my own work on genetics learning so as to provide a richer view of the enterprise. From this richer, more situated view, I conclude that research from both perspectives and collaboration between those looking at learning from different perspectives will ultimately provide a more complete picture of science learning.

The genome of a Mongolian individual reveals the genetic imprints of Mongolians on modern human populations.

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Bai, Haihua; Guo, Xiaosen; Zhang, Dong; Narisu, Narisu; Bu, Junjie; Jirimutu, Jirimutu; Liang, Fan; Zhao, Xiang; Xing, Yanping; Wang, Dingzhu; Li, Tongda; Zhang, Yanru; Guan, Baozhu; Yang, Xukui; Yang, Zili; Shuangshan, Shuangshan; Su, Zhe; Wu, Huiguang; Li, Wenjing; Chen, Ming; Zhu, Shilin; Bayinnamula, Bayinnamula; Chang, Yuqi; Gao, Ying; Lan, Tianming; Suyalatu, Suyalatu; Huang, Hui; Su, Yan; Chen, Yujie; Li, Wenqi; Yang, Xu; Feng, Qiang; Wang, Jian; Yang, Huanming; Wang, Jun; Wu, Qizhu; Yin, Ye; Zhou, Huanmin

2014-11-05

Mongolians have played a significant role in modern human evolution, especially after the rise of Genghis Khan (1162[?]-1227). Although the social cultural impacts of Genghis Khan and the Mongolian population have been well documented, explorations of their genome structure and genetic imprints on other human populations have been lacking. We here present the genome of a Mongolian male individual. The genome was de novo assembled using a total of 130.8-fold genomic data produced from massively parallel whole-genome sequencing. We identified high-confidence variation sets, including 3.7 million single nucleotide polymorphisms (SNPs) and 756,234 short insertions and deletions. Functional SNP analysis predicted that the individual has a pathogenic risk for carnitine deficiency. We located the patrilineal inheritance of the Mongolian genome to the lineage D3a through Y haplogroup analysis and inferred that the individual has a common patrilineal ancestor with Tibeto-Burman populations and is likely to be the progeny of the earliest settlers in East Asia. We finally investigated the genetic imprints of Mongolians on other human populations using different approaches. We found varying degrees of gene flows between Mongolians and populations living in Europe, South/Central Asia, and the Indian subcontinent. The analyses demonstrate that the genetic impacts of Mongolians likely resulted from the expansion of the Mongolian Empire in the 13th century. The genome will be of great help in further explorations of modern human evolution and genetic causes of diseases/traits specific to Mongolians. © The Author(s) 2014. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

Technology Integration in Science Education: A Study of How Teachers Use Modern Learning Technologies in Biology Classrooms

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Gnanakkan, Dionysius Joseph

This multiple case-study investigated how high school biology teachers used modern learning technologies (probes, interactive simulations and animations, animated videos) in their classrooms and why they used the learning technologies. Another objective of the study was to assess whether the use of learning technologies alleviated misconceptions in Biology documented by American Association for the Advancement of Science. The sample consisted of eight teachers: four rural public school teachers, two public selective enrollment school teachers, and two private school teachers. Each teacher was followed for two Units of instruction. Data collected included classroom observations, field notes, student assignments and tests, teacher interviews, and pre-and post-misconception assessments. Paired t-tests were done to analyze the pre-post test data at a significance level of 0.05 and the qualitative data was analyzed using the constant comparative method. Each case study was characterized and then a cross-case analyses was done to find common themes across the different cases. Teachers were found to use the learning technologies as a tool to supplement instruction to visualize abstract processes, collect data, and explore abstract concepts and processes. Teachers were found to situate learning, use scaffolding and questioning and make students work in collaborative groups. The genetics, photosynthesis, and evolution misconceptions were better alleviated than cellular respiration. Student work that was collected demonstrated a superficial understanding of the concepts under discussion even when they had misconceptions. The teachers used the learning technologies in their classrooms for a variety of reasons: visual illustrations, time-saving measure to collect data, best way to collect data, engaging and fun for students and the interactive nature of the visualization tools and models. The study's findings had many implications for research, professional development

SOA – The Link Between Modern Educational Technologies and Mobile Learning in the Higher Education Landscape

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Popa Strainu Roxana Marina

2017-06-01

Full Text Available Modern educational technologies encompass a variety of variables such as people, processes, assets, environments, technology. These variables are part of a complex system which has some important properties and a final purpose: delivering learning material and keeping track of the recipient’s evolution and development. The purpose of this paper is to define the system of modern educational technologies with the help of its variables and internal or external processes as well as to find where mobile learning fits in this large system. From a technical point of view we want to analyze whether Service Oriented Architecture (SOA is enough or proper to integrate mobile learning in this system. At the end we should be able to decide if dedicated mobile apps, or mobile friendly sites or a combination of those two are suited to deliver the results we are looking for with the support of SOA, if we consider the variety of devices and operating systems we are trying to integrate.

Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning.

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Lin, Hsuan-Ta; Lee, Po-Ming; Hsiao, Tzu-Chien

2015-01-01

Tutorial tactics are policies for an Intelligent Tutoring System (ITS) to decide the next action when there are multiple actions available. Recent research has demonstrated that when the learning contents were controlled so as to be the same, different tutorial tactics would make difference in students' learning gains. However, the Reinforcement Learning (RL) techniques that were used in previous studies to induce tutorial tactics are insufficient when encountering large problems and hence were used in offline manners. Therefore, we introduced a Genetic-Based Reinforcement Learning (GBML) approach to induce tutorial tactics in an online-learning manner without basing on any preexisting dataset. The introduced method can learn a set of rules from the environment in a manner similar to RL. It includes a genetic-based optimizer for rule discovery task by generating new rules from the old ones. This increases the scalability of a RL learner for larger problems. The results support our hypothesis about the capability of the GBML method to induce tutorial tactics. This suggests that the GBML method should be favorable in developing real-world ITS applications in the domain of tutorial tactics induction.

Genetic evidence of paleolithic colonization and neolithic expansion of modern humans on the tibetan plateau.

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Qi, Xuebin; Cui, Chaoying; Peng, Yi; Zhang, Xiaoming; Yang, Zhaohui; Zhong, Hua; Zhang, Hui; Xiang, Kun; Cao, Xiangyu; Wang, Yi; Ouzhuluobu; Basang; Ciwangsangbu; Bianba; Gonggalanzi; Wu, Tianyi; Chen, Hua; Shi, Hong; Su, Bing

2013-08-01

Tibetans live on the highest plateau in the world, their current population size is approximately 5 million, and most of them live at an altitude exceeding 3,500 m. Therefore, the Tibetan Plateau is a remarkable area for cultural and biological studies of human population history. However, the chronological profile of the Tibetan Plateau's colonization remains an unsolved question of human prehistory. To reconstruct the prehistoric colonization and demographic history of modern humans on the Tibetan Plateau, we systematically sampled 6,109 Tibetan individuals from 41 geographic populations across the entire region of the Tibetan Plateau and analyzed the phylogeographic patterns of both paternal (n = 2,354) and maternal (n = 6,109) lineages as well as genome-wide single nucleotide polymorphism markers (n = 50) in Tibetan populations. We found that there have been two distinct, major prehistoric migrations of modern humans into the Tibetan Plateau. The first migration was marked by ancient Tibetan genetic signatures dated to approximately 30,000 years ago, indicating that the initial peopling of the Tibetan Plateau by modern humans occurred during the Upper Paleolithic rather than Neolithic. We also found evidences for relatively young (only 7-10 thousand years old) shared Y chromosome and mitochondrial DNA haplotypes between Tibetans and Han Chinese, suggesting a second wave of migration during the early Neolithic. Collectively, the genetic data indicate that Tibetans have been adapted to a high altitude environment since initial colonization of the Tibetan Plateau in the early Upper Paleolithic, before the last glacial maximum, followed by a rapid population expansion that coincided with the establishment of farming and yak pastoralism on the Plateau in the early Neolithic.

Active euthanasia in pre-modern society, 1500-1800: learned debates and popular practices.

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Stolberg, Michael

2007-08-01

Historians of medical ethics have found that active euthanasia, in the sense of intentionally hastening the death of terminally-ill patients, was considered unacceptable in the Christian West before the 1870s. This paper presents a range of early modern texts on the issue which reflect a learned awareness of practices designed to shorten the lives of dying patients which were widely accepted among the lay public. Depriving the dying abruptly of their head-rest or placing them flat on the cold floor may strike us as merely symbolic today, but early moderns associated such measures with very concrete and immediate effects. In this sense, the intentional hastening of death in agonising patients had an accepted place in pre-modern popular culture. These practices must, however, be put into their proper context. Death was perceived more as a transition to the after-life and contemporary notions of dying could make even outright suffocation appear as an act of compassion which merely helped the soul depart from the body at the divinely ordained hour of death. The paper concludes with a brief comparison of early modern arguments with those of today.

Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning.

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Schuck, Nicolas W; Petok, Jessica R; Meeter, Martijn; Schjeide, Brit-Maren M; Schröder, Julia; Bertram, Lars; Gluck, Mark A; Li, Shu-Chen

2018-01-01

Probabilistic category learning involves complex interactions between the hippocampus and striatum that may depend on whether acquisition occurs via feedback or observation. Little is known about how healthy aging affects these processes. We tested whether age-related behavioral differences in probabilistic category learning from feedback or observation depend on a genetic factor known to influence individual differences in hippocampal function, the KIBRA gene (single nucleotide polymorphism rs17070145). Results showed comparable age-related performance impairments in observational as well as feedback-based learning. Moreover, genetic analyses indicated an age-related interactive effect of KIBRA on learning: among older adults, the beneficial T-allele was positively associated with learning from feedback, but negatively with learning from observation. In younger adults, no effects of KIBRA were found. Our results add behavioral genetic evidence to emerging data showing age-related differences in how neural resources relate to memory functions, namely that hippocampal and striatal contributions to probabilistic category learning may vary with age. Our findings highlight the effects genetic factors can have on differential age-related decline of different memory functions. Copyright © 2017 Elsevier Inc. All rights reserved.

Genetic algorithm enhanced by machine learning in dynamic aperture optimization

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Li, Yongjun; Cheng, Weixing; Yu, Li Hua; Rainer, Robert

2018-05-01

With the aid of machine learning techniques, the genetic algorithm has been enhanced and applied to the multi-objective optimization problem presented by the dynamic aperture of the National Synchrotron Light Source II (NSLS-II) Storage Ring. During the evolution processes employed by the genetic algorithm, the population is classified into different clusters in the search space. The clusters with top average fitness are given "elite" status. Intervention on the population is implemented by repopulating some potentially competitive candidates based on the experience learned from the accumulated data. These candidates replace randomly selected candidates among the original data pool. The average fitness of the population is therefore improved while diversity is not lost. Maintaining diversity ensures that the optimization is global rather than local. The quality of the population increases and produces more competitive descendants accelerating the evolution process significantly. When identifying the distribution of optimal candidates, they appear to be located in isolated islands within the search space. Some of these optimal candidates have been experimentally confirmed at the NSLS-II storage ring. The machine learning techniques that exploit the genetic algorithm can also be used in other population-based optimization problems such as particle swarm algorithm.

Insertion of Contemporary and Modern Physics in classroom: a teaching learning sequence on radioactivity

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Carlos Alexandre dos Santos Batista

2017-12-01

Full Text Available After more than two decades of justifications on the insertion of Modern and Contemporary Physics in the high school Education, the current challenge regards to how this content can be inserted in the classroom in an interesting and innovative way. Recent research reveals that despite a significant accumulation of recent academic research, whose purpose is to assist teachers pedagogically, few are grounded and proposed theoretically seeking to investigate how this integration happens. In this sense, we present a teaching-learning sequence on the topic of radioactivity, forged in the theoretical and methodological assumptions of Design-Based Research and a Teaching-Learning Sequence that, when implemented in public schools in the south of Bahia, produced the relevant knowledge to be shared with the community on teaching physics. Forged in our assumptions, the proposal allows teachers and researchers to understand questions about how, when and why, in fact, the inclusion of Modern and Contemporary Physics can occur in a non-traditional way. Therefore, the importance of this proposal is revealed to the high school of physics as it translates its ability to transform the theoretical demands on the curriculum and methodological innovation in the practical interventions in the classroom. We add that the availability of the necessary sources to find lesson plans, quizzes, texts, videos of teaching-learning sequence, shows the contribution of this work for teachers and researchers, in particular, to improve the scientific learning of students in the Basic Education.

Reconciling genetic evolution and the associative learning account of mirror neurons through data-acquisition mechanisms.

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Lotem, Arnon; Kolodny, Oren

2014-04-01

An associative learning account of mirror neurons should not preclude genetic evolution of its underlying mechanisms. On the contrary, an associative learning framework for cognitive development should seek heritable variation in the learning rules and in the data-acquisition mechanisms that construct associative networks, demonstrating how small genetic modifications of associative elements can give rise to the evolution of complex cognition.

Application of medical cases in general genetics teaching in universities.

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He, Zhumei; Bie, Linsai; Li, Wei

2018-01-20

General genetics is a core course in life sciences, medicine, agriculture and other related fields. As one of the most fast-developing disciplines of life sciences in the 21th century, the influence of the genetics knowledge on daily life is expanding, especially on human health and reproduction. In order to make it easier for students to understand the profound principles of genetics and to better apply the theories to daily life, we have introduced appropriate medical cases in general genetics teaching and further extended them combined with theoretical basis of genetics. This approach will be beneficial to enhance students' abilities of genetic analysis and promote their enthusiasm to learn and master practical skills. In this paper, we enumerate medical cases related to the modern genetics teaching system to provide a reference for genetics teaching in general and normal universities.

Treatment of avoidance behavior as an adjunct to exposure therapy: Insights from modern learning theory.

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Treanor, Michael; Barry, Tom J

2017-09-01

Pathological avoidance of benign stimuli is a hallmark of anxiety and related disorders, and exposure-based treatments have often encouraged the removal of avoidance, or safety behaviors, due to their negative effects on extinction learning. Unfortunately, empirical evidence suggests that avoidance behaviors can persist following treatment, and the mere availability of avoidance behavior can be sufficient to renew fear following successful extinction learning. The present paper critically examines the function of avoidance behavior through the lens of modern learning theory, and speculates on novel behavioral and pharmacological strategies for targeting avoidance as an adjunct to current evidence-based treatments. Copyright © 2017. Published by Elsevier Ltd.

Empirical Refinements of a Molecular Genetics Learning Progression: The Molecular Constructs

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Todd, Amber; Kenyon, Lisa

2016-01-01

This article describes revisions to four of the eight constructs of the Duncan molecular genetics learning progression [Duncan, Rogat, & Yarden, (2009)]. As learning progressions remain hypothetical models until validated by multiple rounds of empirical studies, these revisions are an important step toward validating the progression. Our…

Die Verfassung des Experiments Moderne

Directory of Open Access Journals (Sweden)

Manfred Aschke

2005-01-01

Full Text Available The question whether freedom of religion requires permitting the slaughter of animals in accordance with Islamic rites – a question which was the subject of a decision by the German Federal Constitutional Court in 2002 –is an example of the general problem how the law and the constitution of a modern, secular society can deal with the Sharia, a theonomous law which claims authority by divine revelation. The genetic links between western christianity and the development of the foundations of modern society in Europe do not provide evidence of the incompatibility of Islam and modernity. But they do emphasize that the tensions resulting from the immigration of 3 million muslims in Germany are a great challenge for the constitutional order. A modern constitution of the Western European and North-Atlantic type, such as the german constitution (Grundgesetz, does not allow the dissolution of the tensions between secular law and individual religious autonomy unilaterally in favour of the secular law. This kind of tension is by no means unknown in modern society. Functional differentiation and individualization are core characteristics of modern society. But in view of the challenge by Islam and other challenges, such as ecological problems, we can ask if the »experiment in modernity«, the project of the Enlightenment, is destined to fail because of the dissonance and the lack of understanding between the partial systems of the society. This question is the starting point to outline evolutionary processes of integration in modern society. In this context the constitution proves to be an important tool of integration. Controversies about the scope of validity claimed by the partial systems are matters of constitutional law. The modern constitution is a specific form in which modern society describes itself as a unity insuring »practical concordance« between colliding freedoms and claims of validity. In the conflict of modern ethical principles of

Ecologia: The Assumptions, Expectations, and Strategies of Modern Language Students Working in a Self-Access Learning Environment for the First Time.

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Piper, Alison

1994-01-01

This study examined 29 second-year undergraduate students of Spanish using a self-access learning environment for the first time, focusing on their language attitudes and learning strategies. The results show that, even as modern languages majors, the students possessed a model of language and strategies for learning that were significantly…

Students' Understanding of Genetics Concepts: The Effect of Reasoning Ability and Learning Approaches

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Kiliç, Didem; Saglam, Necdet

2014-01-01

Students tend to learn genetics by rote and may not realise the interrelationships in daily life. Because reasoning abilities are necessary to construct relationships between concepts and rote learning impedes the students' sound understanding, it was predicted that having high level of formal reasoning and adopting meaningful learning orientation…

Modern Biology

OpenAIRE

ALEKSIC, Branko

2014-01-01

The purpose of this course is to learn the philosophy, principles, and techniques of modern biology. The course is particularly designed for those who have not learned biology previously or whose major is other than biology, and who may think that they do not need to know any biology at all. The topics are covered in a rather general, overview manner, but certain level of diligence in grasping concepts and memorizing the terminology is expected.

Mendel in the Modern Classroom

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Smith, Mike U.; Gericke, Niklas M.

2015-01-01

Mendel is an icon in the history of genetics and part of our common culture and modern biology instruction. The aim of this paper is to summarize the place of Mendel in the modern biology classroom. In the present article we will identify key issues that make Mendel relevant in the classroom today. First, we recount some of the historical…

Modern human origins: progress and prospects.

OpenAIRE

Stringer, Chris

2002-01-01

The question of the mode of origin of modern humans (Homo sapiens) has dominated palaeoanthropological debate over the last decade. This review discusses the main models proposed to explain modern human origins, and examines relevant fossil evidence from Eurasia, Africa and Australasia. Archaeological and genetic data are also discussed, as well as problems with the concept of 'modernity' itself. It is concluded that a recent African origin can be supported for H. sapiens, morphologically, be...

Testing the hypothesis on cognitive evolution of modern humans' learning ability: current status of past-climatic approaches.

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Yoneda, Minoru; Abe-Ouchi, Ayako; Kawahata, Hodaka; Yokoyama, Yusuke; Oguchi, Takashi

2014-05-01

The impact of climate change on human evolution is important and debating topic for many years. Since 2010, we have involved in a general joint project entitled "Replacement of Neanderthal by Modern Humans: Testing Evolutional Models of Learning", which based on a theoretical prediction that the cognitive ability related to individual and social learning divide fates of ancient humans in very unstable Late Pleistocene climate. This model predicts that the human populations which experienced a series of environmental changes would have higher rate of individual learners, while detailed reconstructions of global climate change have reported fluent and drastic change based on ice cores and stalagmites. However, we want to understand the difference between anatomically modern human which survived and the other archaic extinct humans including European Neanderthals and Asian Denisovans. For this purpose the global synchronized change is not useful for understanding but the regional difference in the amplitude and impact of climate change is the information required. Hence, we invited a geophysicist busing Global Circulation Model to reconstruct the climatic distribution and temporal change in a continental scale. At the same time, some geochemists and geographers construct a database of local climate changes recorded in different proxies. At last, archaeologists and anthropologists tried to interpret the emergence and disappearance of human species in Europe and Asia on the reconstructed past climate maps using some tools, such as Eco-cultural niche model. Our project will show the regional difference in climate change and related archaeological events and its impact on the evolution of learning ability of modern humans.

Understanding the Science-Learning Environment: A Genetically Sensitive Approach

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Haworth, Claire M. A.; Davis, Oliver S. P.; Hanscombe, Ken B.; Kovas, Yulia; Dale, Philip S.; Plomin, Robert

2013-01-01

Previous studies have shown that environmental influences on school science performance increase in importance from primary to secondary school. Here we assess for the first time the relationship between the science-learning environment and science performance using a genetically sensitive approach to investigate the aetiology of this link. 3000…

Haplotype structure around Bru1 reveals a narrow genetic basis for brown rust resistance in modern sugarcane cultivars.

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Costet, L; Le Cunff, L; Royaert, S; Raboin, L-M; Hervouet, C; Toubi, L; Telismart, H; Garsmeur, O; Rousselle, Y; Pauquet, J; Nibouche, S; Glaszmann, J-C; Hoarau, J-Y; D'Hont, A

2012-09-01

Modern sugarcane cultivars (Saccharum spp., 2n = 100-130) are high polyploid, aneuploid and of interspecific origin. A major gene (Bru1) conferring resistance to brown rust, caused by the fungus Puccinia melanocephala, has been identified in cultivar R570. We analyzed 380 modern cultivars and breeding materials covering the worldwide diversity with 22 molecular markers genetically linked to Bru1 in R570 within a 8.2 cM segment. Our results revealed a strong LD in the Bru1 region and strong associations between most of the markers and rust resistance. Two PCR markers, that flank the Bru1-bearing segment, were found completely associated with one another and only in resistant clones representing efficient molecular diagnostic for Bru1. On this basis, Bru1 was inferred in 86 % of the 194 resistant sugarcane accessions, revealing that it constitutes the main source of brown rust resistance in modern cultivars. Bru1 PCR diagnostic markers should be particularly useful to identify cultivars with potentially alternative sources of resistance to diversify the basis of brown rust resistance in breeding programs.

"DNA Re-EvolutioN": A Game for Learning Molecular Genetics and Evolution

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Miralles, Laura; Moran, Paloma; Dopico, Eduardo; Garcia-Vazquez, Eva

2013-01-01

Evolution is a main concept in biology, but not many students understand how it works. In this article we introduce the game "DNA Re-EvolutioN" as an active learning tool that uses genetic concepts (DNA structure, transcription and translation, mutations, natural selection, etc.) as playing rules. Students will learn about molecular…

Undergraduates Achieve Learning Gains in Plant Genetics through Peer Teaching of Secondary Students

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Chrispeels, H. E.; Klosterman, M. L.; Martin, J. B.; Lundy, S. R.; Watkins, J. M.; Gibson, C. L.

2014-01-01

This study tests the hypothesis that undergraduates who peer teach genetics will have greater understanding of genetic and molecular biology concepts as a result of their teaching experiences. Undergraduates enrolled in a non–majors biology course participated in a service-learning program in which they led middle school (MS) or high school (HS) students through a case study curriculum to discover the cause of a green tomato variant. The curriculum explored plant reproduction and genetic principles, highlighting variation in heirloom tomato fruits to reinforce the concept of the genetic basis of phenotypic variation. HS students were taught additional activities related to mole­cular biology techniques not included in the MS curriculum. We measured undergraduates’ learning outcomes using pre/postteaching content assessments and the course final exam. Undergraduates showed significant gains in understanding of topics related to the curriculum they taught, compared with other course content, on both types of assessments. Undergraduates who taught HS students scored higher on questions specific to the HS curriculum compared with undergraduates who taught MS students, despite identical lecture content, on both types of assessments. These results indicate the positive effect of service-learning peer-teaching experiences on undergraduates’ content knowledge, even for non–science major students. PMID:25452487

Learners in dialogue. Teacher experise and learning in the context of genetic testing

NARCIS (Netherlands)

van der Zande, P.A.M.|info:eu-repo/dai/nl/304827363

2011-01-01

Learners in Dialogue; this thesis aims at the exploration of teacher expertise for teachers who want to teach genetics in the context of genetic testing and at finding ways to foster teacher learning concerning this expertise. Recent developments in the field of genomics will impact the daily

Contemporary Genetics for Gender Researchers: Not Your Grandma's Genetics Anymore

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Salk, Rachel H.; Hyde, Janet S.

2012-01-01

Over the past century, much of genetics was deterministic, and feminist researchers framed justified criticisms of genetics research. However, over the past two decades, genetics research has evolved remarkably and has moved far from earlier deterministic approaches. Our article provides a brief primer on modern genetics, emphasizing contemporary…

Learning a Genetic Measure for Kinship Verification Using Facial Images

Directory of Open Access Journals (Sweden)

Lu Kou

2015-01-01

Full Text Available Motivated by the key observation that children generally resemble their parents more than other persons with respect to facial appearance, distance metric (similarity learning has been the dominant choice for state-of-the-art kinship verification via facial images in the wild. Most existing learning-based approaches to kinship verification, however, are focused on learning a genetic similarity measure in a batch learning manner, leading to less scalability for practical applications with ever-growing amount of data. To address this, we propose a new kinship verification approach by learning a sparse similarity measure in an online fashion. Experimental results on the kinship datasets show that our approach is highly competitive to the state-of-the-art alternatives in terms of verification accuracy, yet it is superior in terms of scalability for practical applications.

Modern optimization with R

CERN Document Server

Cortez, Paulo

2014-01-01

The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in Computer Science, Information Technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R.

Genetic Learning of Fuzzy Parameters in Predictive and Decision Support Modelling

Directory of Open Access Journals (Sweden)

Nebot

2012-04-01

Full Text Available In this research a genetic fuzzy system (GFS is proposed that performs discretization parameter learning in the context of the Fuzzy Inductive Reasoning (FIR methodology and the Linguistic Rule FIR (LR-FIR algorithm. The main goal of the GFS is to take advantage of the potentialities of GAs to learn the fuzzification parameters of the FIR and LR-FIR approaches in order to obtain reliable and useful predictive (FIR models and decision support (LR-FIR models. The GFS is evaluated in an e-learning context.

The molecular genetics of holoprosencephaly.

Science.gov (United States)

Roessler, Erich; Muenke, Maximilian

2010-02-15

Holoprosencephaly (HPE) has captivated the imagination of Man for millennia because its most extreme manifestation, the single-eyed cyclopic newborn infant, brings to mind the fantastical creature Cyclops from Greek mythology. Attempting to understand this common malformation of the forebrain in modern medical terms requires a systematic synthesis of genetic, cytogenetic, and environmental information typical for studies of a complex disorder. However, even with the advances in our understanding of HPE in recent years, there are significant obstacles remaining to fully understand its heterogeneity and extensive variability in phenotype. General lessons learned from HPE will likely be applicable to other malformation syndromes. Here we outline the common, and rare, genetic and environmental influences on this conserved developmental program of forebrain development and illustrate the similarities and differences between these malformations in humans and those of animal models. 2010 Wiley-Liss, Inc.

Annals of Modern Education

African Journals Online (AJOL)

The Annals of Modern Education will be considered for publication publishes regular papers reporting ... Curriculum and Teaching, Students' Perspectives on Learning Environments, Environmental Education, ... AJOL African Journals Online.

Modern didactics of mass electronic education

Directory of Open Access Journals (Sweden)

Mihail P. Karpenko

2017-12-01

Full Text Available The requirements to educational process of higher education and its didactics, arising from needs of society in mass education and of the opportunities provided by modern telecommunications technologies. Didactics based on class-and-lesson and lecture and seminar methods in principle can not be used for the development of mass higher and continuing education. This didactics requires excessively high material and labor resources, creates insuperable organizational difficulties due to campusname learning and ineffective in cognitive terms, as it uses not individual, but collective, group learning. Modern didactics is education. It should ensure maximum efficiency of the educational process. The basis of didactics of e-learning is a robotic educational web environment using cloud computing.

Insights into Modern Human Prehistory Using Ancient Genomes.

Science.gov (United States)

Yang, Melinda A; Fu, Qiaomei

2018-03-01

The genetic relationship of past modern humans to today's populations and each other was largely unknown until recently, when advances in ancient DNA sequencing allowed for unprecedented analysis of the genomes of these early people. These ancient genomes reveal new insights into human prehistory not always observed studying present-day populations, including greater details on the genetic diversity, population structure, and gene flow that characterized past human populations, particularly in early Eurasia, as well as increased insight on the relationship between archaic and modern humans. Here, we review genetic studies on ∼45000- to 7500-year-old individuals associated with mainly preagricultural cultures found in Eurasia, the Americas, and Africa. Copyright © 2017 Elsevier Ltd. All rights reserved.

Sports genetics moving forward: lessons learned from medical research.

Science.gov (United States)

Mattsson, C Mikael; Wheeler, Matthew T; Waggott, Daryl; Caleshu, Colleen; Ashley, Euan A

2016-03-01

Sports genetics can take advantage of lessons learned from human disease genetics. By righting past mistakes and increasing scientific rigor, we can magnify the breadth and depth of knowledge in the field. We present an outline of challenges facing sports genetics in the light of experiences from medical research. Sports performance is complex, resulting from a combination of a wide variety of different traits and attributes. Improving sports genetics will foremost require analyses based on detailed phenotyping. To find widely valid, reproducible common variants associated with athletic phenotypes, study sample sizes must be dramatically increased. One paradox is that in order to confirm relevance, replications in specific populations must be undertaken. Family studies of athletes may facilitate the discovery of rare variants with large effects on athletic phenotypes. The complexity of the human genome, combined with the complexity of athletic phenotypes, will require additional metadata and biological validation to identify a comprehensive set of genes involved. Analysis of personal genetic and multiomic profiles contribute to our conceptualization of precision medicine; the same will be the case in precision sports science. In the refinement of sports genetics it is essential to evaluate similarities and differences between sexes and among ethnicities. Sports genetics to date have been hampered by small sample sizes and biased methodology, which can lead to erroneous associations and overestimation of effect sizes. Consequently, currently available genetic tests based on these inherently limited data cannot predict athletic performance with any accuracy. Copyright © 2016 the American Physiological Society.

Immune Genetic Learning of Fuzzy Cognitive Map

Institute of Scientific and Technical Information of China (English)

LIN Chun-mei; HE Yue; TANG Bing-yong

2006-01-01

This paper presents a hybrid methodology of automatically constructing fuzzy cognitive map (FCM). The method uses immune genetic algorithm to learn the connection matrix of FCM. In the algorithm, the DNA coding method is used and an immune operator based on immune mechanism is constructed. The characteristics of the system and the experts' knowledge are abstracted as vaccine for restraining the degenerative phenomena during evolution so as to improve the algorithmic efficiency. Finally, an illustrative example is provided, and its results suggest that the method is capable of automatically generating FCM model.

Answers to modernity

DEFF Research Database (Denmark)

Petersen, Karen Bjerg

2008-01-01

- teacher, learner or curriculum planner positions - result in different strategies or 'answers to modernity'. The research has taken place as a study of e-learning and virtual teachhing of Danish as a second language for adults. The fact that relations in virtual learning are established between physically......, locationally distant'. Based on a case study and interviews with e-learning teachers and learner participants in a virtual classroom setting and on extracts of the curriculum developed for the particular e-learning course, the aim of the paper is to discuss how different positions in an e-learning triangle...... absent individuals, who are locationnaly distant and may never meet, seems to necessitate different strategies towards e-learning, depending on the position in the learning triangle. The research results indicate, that teachers compensate for the disembedded social relations in e-llearning environments...

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.

Science.gov (United States)

Chang, P; Grinband, J; Weinberg, B D; Bardis, M; Khy, M; Cadena, G; Su, M-Y; Cha, S; Filippi, C G; Bota, D; Baldi, P; Poisson, L M; Jain, R; Chow, D

2018-05-10

The World Health Organization has recently placed new emphasis on the integration of genetic information for gliomas. While tissue sampling remains the criterion standard, noninvasive imaging techniques may provide complimentary insight into clinically relevant genetic mutations. Our aim was to train a convolutional neural network to independently predict underlying molecular genetic mutation status in gliomas with high accuracy and identify the most predictive imaging features for each mutation. MR imaging data and molecular information were retrospectively obtained from The Cancer Imaging Archives for 259 patients with either low- or high-grade gliomas. A convolutional neural network was trained to classify isocitrate dehydrogenase 1 ( IDH1 ) mutation status, 1p/19q codeletion, and O6-methylguanine-DNA methyltransferase ( MGMT ) promotor methylation status. Principal component analysis of the final convolutional neural network layer was used to extract the key imaging features critical for successful classification. Classification had high accuracy: IDH1 mutation status, 94%; 1p/19q codeletion, 92%; and MGMT promotor methylation status, 83%. Each genetic category was also associated with distinctive imaging features such as definition of tumor margins, T1 and FLAIR suppression, extent of edema, extent of necrosis, and textural features. Our results indicate that for The Cancer Imaging Archives dataset, machine-learning approaches allow classification of individual genetic mutations of both low- and high-grade gliomas. We show that relevant MR imaging features acquired from an added dimensionality-reduction technique demonstrate that neural networks are capable of learning key imaging components without prior feature selection or human-directed training. © 2018 by American Journal of Neuroradiology.

Analytical review of modern information education technologies

OpenAIRE

Светлана Викторовна Зенкина; О П Панкратова

2014-01-01

This article discusses and analyzes the modern information education technologies, which are seen as the priority to use in the modern information educational environment (Internet-based educational technologies, distance education, media education, e-Learning technologies, smart-education technologies).

Supervised Machine Learning for Population Genetics: A New Paradigm

Science.gov (United States)

Schrider, Daniel R.; Kern, Andrew D.

2018-01-01

As population genomic datasets grow in size, researchers are faced with the daunting task of making sense of a flood of information. To keep pace with this explosion of data, computational methodologies for population genetic inference are rapidly being developed to best utilize genomic sequence data. In this review we discuss a new paradigm that has emerged in computational population genomics: that of supervised machine learning (ML). We review the fundamentals of ML, discuss recent applications of supervised ML to population genetics that outperform competing methods, and describe promising future directions in this area. Ultimately, we argue that supervised ML is an important and underutilized tool that has considerable potential for the world of evolutionary genomics. PMID:29331490

Micro Learning: A Modernized Education System

Directory of Open Access Journals (Sweden)

Omer Jomah

2016-03-01

Full Text Available Learning is an understanding of how the human brain is wired to learning rather than to an approach or a system. It is one of the best and most frequent approaches for the 21st century learners. Micro learning is more interesting due to its way of teaching and learning the content in a small, very specific burst. Here the learners decide what and when to learn. Content, time, curriculum, form, process, mediality, and learning type are the dimensions of micro learning. Our paper will discuss about micro learning and about the micro-content management system. The study will reflect the views of different users, and will analyze the collected data. Finally, it will be concluded with its pros and cons. 

Safety Management and the Modern Teaching Environment

Directory of Open Access Journals (Sweden)

Utureanu Simona

2017-01-01

Modern pedagogy proposes to organize the learning process in such a way that content andstrategy issues are achieved according to the above learning objectives. The didactic toolsinterpose between teacher and student, enhancing the instructive-educative capacity of theeducator and facilitating the student's learning activity.

Modern operating systems

CERN Document Server

Tanenbaum, Andrew S

2015-01-01

Modern Operating Systems, Fourth Edition, is intended for introductory courses in Operating Systems in Computer Science, Computer Engineering, and Electrical Engineering programs. It also serves as a useful reference for OS professionals ' The widely anticipated revision of this worldwide best-seller incorporates the latest developments in operating systems (OS) technologies. The Fourth Edition includes up-to-date materials on relevant'OS. Tanenbaum also provides information on current research based on his experience as an operating systems researcher. ' Modern Operating Systems, Third Editionwas the recipient of the 2010 McGuffey Longevity Award. The McGuffey Longevity Award recognizes textbooks whose excellence has been demonstrated over time.'http://taaonline.net/index.html " Teaching and Learning Experience This program will provide a better teaching and learning experience-for you and your students. It will help: ' *Provide Practical Detail on the Big Picture Concepts: A clear and entertaining writing s...

Modern technologies in e-learning

OpenAIRE

Kubičková, Barbora

2013-01-01

This thesis is focused on the educational theories, forms of training, development and types of e - learning. Then there are mentioned new online educational technologies, pros and cons of on-line learning and its trends (gamification, social learning, MOOCs, etc.). This theoretical knowledge is necessary for understanding the principles of the on-line education and importance of massive open online courses. One part of the practical section concentrates on the results of a questionnaire rega...

PROSPECTS OF THE DEVELOPMENT OF THE MODERN EDUCATIONAL INSTITUTIONS' LEARNING AND RESEARCH ENVIRONMENT: TO THE 15TH ANNIVERSARY OF THE INSTITUTE OF INFORMATION TECHNOLOGIES AND LEARNING TOOLS OF NAPS OF UKRAINE

Directory of Open Access Journals (Sweden)

M. P. Shyshkina

2014-05-01

Full Text Available During 15 years the Institute of Information technology and training of NAPS of Ukraine carries out research work aimed at solving actual problems of the creation, implementation and use of ICT in education, construction and development of computer-based learning environment of open education and e-learning, electronic educational resources, managing and supporting of the researches, technologies of cloud computing. The article considers the main activities of the Institute of Information Technologies and Learning Tools of NAPS of Ukraine. The experience of actual pedagogical issues developing, cooperation among research institutions and universities within activities of joint research laboratories, are reflected. The prospective research directions that will contribute to the modernization and further development of modern learning and scientific environment of educational institutions of Ukraine, in particular, the introduction of cloud oriented tools and technologies, the learning e-resources quality assurance, are outlined. The aim of the paper is to outline the main activities of the Institute of Information technology and training of NAPS of Ukraine during last 15 years and reflect the experience and perspectives of scientific and pedagogical cooperation of national research institutions and universities.

Genetic programming in microorganisms

Energy Technology Data Exchange (ETDEWEB)

Hopwood, D A

1981-11-01

Formerly, when microbiologists had only existing organisms at their disposal whose characteristics could only be changed randomly by genetic experiments, they used to dream of programmed genetic changes. This dream has come true with modern genetic engineering.

Self-directed learning can outperform direct instruction in the course of a modern German medical curriculum - results of a mixed methods trial.

Science.gov (United States)

Peine, Arne; Kabino, Klaus; Spreckelsen, Cord

2016-06-03

Modernised medical curricula in Germany (so called "reformed study programs") rely increasingly on alternative self-instructed learning forms such as e-learning and curriculum-guided self-study. However, there is a lack of evidence that these methods can outperform conventional teaching methods such as lectures and seminars. This study was conducted in order to compare extant traditional teaching methods with new instruction forms in terms of learning effect and student satisfaction. In a randomised trial, 244 students of medicine in their third academic year were assigned to one of four study branches representing self-instructed learning forms (e-learning and curriculum-based self-study) and instructed learning forms (lectures and seminars). All groups participated in their respective learning module with standardised materials and instructions. Learning effect was measured with pre-test and post-test multiple-choice questionnaires. Student satisfaction and learning style were examined via self-assessment. Of 244 initial participants, 223 completed the respective module and were included in the study. In the pre-test, the groups showed relatively homogenous scores. All students showed notable improvements compared with the pre-test results. Participants in the non-self-instructed learning groups reached scores of 14.71 (seminar) and 14.37 (lecture), while the groups of self-instructed learners reached higher scores with 17.23 (e-learning) and 15.81 (self-study). All groups improved significantly (p learning group, whose self-assessment improved by 2.36. The study shows that students in modern study curricula learn better through modern self-instructed methods than through conventional methods. These methods should be used more, as they also show good levels of student acceptance and higher scores in personal self-assessment of knowledge.

The flipped classroom stimulates greater learning and is a modern 21st century approach to teaching today's undergraduates.

Science.gov (United States)

Mortensen, C J; Nicholson, A M

2015-07-01

Many classrooms in higher education still rely on a transformative approach to teaching where students attend lectures and earn course grades through examination. In the modern age, traditional lectures are argued by some as obsolete and do not address the learning needs of today’s students. An emerging pedagogical approach is the concept of the flipped classroom. The flipped classroom can simply be described as students viewing asynchronous video lectures on their own and then engaging in active learning during scheduled class times. In this study, we examined the flipped classroom teaching environment on student learning gains in an Introduction to Equine Science course. Students (n = 130) were asked to view 7.5 h of recorded lectures divided into 8 learning modules, take online quizzes to enforce lecture viewing, take 3 in-class exams, and prepare to participate in active learning during scheduled class times. Active learning approaches included individual activities, paired activities, informal small groups, and large group activities. When compared to students in the traditional lecture format in earlier years, students in the flipped format scored higher on all 3 exams (P flipped format students were asked to take the Cornell Critical Thinking Exam (version X). Scores improved from the pretest (50.8 ± 0.57) to the posttest (54.4 ± 0.58; P flipped course, no correlations were found with student performance and interactions with online content. Students were asked in class to evaluate their experiences based on a 5-point Likert scale: 1 (strongly disagree) to 5 (strongly agree). The flipped classroom was ranked as an enjoyable learning experience with a mean of 4.4 ± 0.10, while students responded positively to other pointed questions. In formal course evaluations, flipped format students ranked the following higher (P flipped classroom proved to be a positive learning experience for students. As the classroom continues to modernize, pedagogical approaches

General asymmetric neutral networks and structure design by genetic algorithms: A learning rule for temporal patterns

Energy Technology Data Exchange (ETDEWEB)

Bornholdt, S. [Heidelberg Univ., (Germany). Inst., fuer Theoretische Physik; Graudenz, D. [Lawrence Berkeley Lab., CA (United States)

1993-07-01

A learning algorithm based on genetic algorithms for asymmetric neural networks with an arbitrary structure is presented. It is suited for the learning of temporal patterns and leads to stable neural networks with feedback.

General asymmetric neutral networks and structure design by genetic algorithms: A learning rule for temporal patterns

International Nuclear Information System (INIS)

Bornholdt, S.

1993-07-01

A learning algorithm based on genetic algorithms for asymmetric neural networks with an arbitrary structure is presented. It is suited for the learning of temporal patterns and leads to stable neural networks with feedback

Rapid learning: a breakthrough agenda.

Science.gov (United States)

Etheredge, Lynn M

2014-07-01

A "rapid-learning health system" was proposed in a 2007 thematic issue of Health Affairs. The system was envisioned as one that uses evidence-based medicine to quickly determine the best possible treatments for patients. It does so by drawing on electronic health records and the power of big data to access large volumes of information from a variety of sources at high speed. The foundation for a rapid-learning health system was laid during 2007-13 by workshops, policy papers, large public investments in databases and research programs, and developing learning systems. Challenges now include implementing a new clinical research system with several hundred million patients, modernizing clinical trials and registries, devising and funding research on national priorities, and analyzing genetic and other factors that influence diseases and responses to treatment. Next steps also should aim to improve comparative effectiveness research; build on investments in health information technology to standardize handling of genetic information and support information exchange through apps and software modules; and develop new tools, data, and information for clinical decision support. Further advances will require commitment, leadership, and public-private and global collaboration. Project HOPE—The People-to-People Health Foundation, Inc.

Modern physics for scientists and engineers

CERN Document Server

Morrison, John C

2010-01-01

Intended for a first course in modern physics, following an introductory course in physics with calculus, Modern Physics for Scientists and Engineers begins with a brief and focused account of the historical events leading to the formulation of modern quantum theory, while later chapters delve into the underlying physics. Streamlined content, chapters on semiconductors, Dirac Equation and Quantum Field Theory, and a robust pedagogy and ancillary package including an accompanying website with computer applets assists students in learning the essential material.

Genetics as a modernization program: biological research at the Kaiser Wilhelm Institutes and the political economy of the Nazi State.

Science.gov (United States)

Gausemeier, Bernd

2010-01-01

During the Third Reich, the biological institutes of the Kaiser Wilhelm Society (KWG, Kaiser-Wilhelm-Gesellschaft) underwent a substantial reorganization and modernization. This paper discusses the development of projects in the fields of biochemical genetics, virus research, radiation genetics, and plant genetics that were initiated in those years. These cases exemplify, on the one hand, the political conditions for biological research in the Nazi state. They highlight how leading scientists advanced their projects by building close ties with politicians and science-funding organizations and companies. On the other hand, the study examines how the contents of research were shaped by, and how they contributed to, the aims and needs of the political economy of the Nazi system. This paper therefore aims not only to highlight basic aspects of scientific development under Nazism, but also to provide general insights into the structure of the Third Reich and the dynamics of its war economy.

Genetic algorithm learning in a New Keynesian macroeconomic setup.

Science.gov (United States)

Hommes, Cars; Makarewicz, Tomasz; Massaro, Domenico; Smits, Tom

2017-01-01

In order to understand heterogeneous behavior amongst agents, empirical data from Learning-to-Forecast (LtF) experiments can be used to construct learning models. This paper follows up on Assenza et al. (2013) by using a Genetic Algorithms (GA) model to replicate the results from their LtF experiment. In this GA model, individuals optimize an adaptive, a trend following and an anchor coefficient in a population of general prediction heuristics. We replicate experimental treatments in a New-Keynesian environment with increasing complexity and use Monte Carlo simulations to investigate how well the model explains the experimental data. We find that the evolutionary learning model is able to replicate the three different types of behavior, i.e. convergence to steady state, stable oscillations and dampened oscillations in the treatments using one GA model. Heterogeneous behavior can thus be explained by an adaptive, anchor and trend extrapolating component and the GA model can be used to explain heterogeneous behavior in LtF experiments with different types of complexity.

Human cranial diversity and evidence for an ancient lineage of modern humans.

Science.gov (United States)

Schillaci, Michael A

2008-06-01

This study examines the genetic affinities of various modern human groupings using a multivariate analysis of morphometric data. Phylogenetic relationships among these groupings are also explored using neighbor-joining analysis of the metric data. Results indicate that the terminal Pleistocene/early Holocene fossils from Australasia exhibit a close genetic affinity with early modern humans from the Levant. Furthermore, recent human populations and Upper Paleolithic Europeans share a most recent common ancestor not shared with either the early Australasians or the early Levantine humans. This pattern of genetic and phylogenetic relationships suggests that the early modern humans from the Levant either contributed directly to the ancestry of an early lineage of Australasians, or that they share a recent common ancestor with them. The principal findings of the study, therefore, lend support to the notion of an early dispersal from Africa by a more ancient lineage of modern human prior to 50 ka, perhaps as early as OIS 5 times (76-100 ka).

Genetic component in learning ability in bees.

Science.gov (United States)

Kerr, W E; Moura Duarte, F A; Oliveira, R S

1975-10-01

Twenty-five bees, five from each of five hives, were trained to collect food at a table. When the bee reached the table, time was recorded for 12 visits. Then a blue and yellow pan was substituted for the original metal pan, and time and correct responses were recorded for 30 trips (discrimination phase). Finally, food was taken from the pan and extinction was recorded as incorrect responses for 20 visits. Variance analysis was carried out, and genetic variance was undetected for discrimination, but was detected for extinction. It is concluded that learning is very important for bees, so that any impairment in such ability affects colony survival.

Burnout and quality of life among orthopaedic trainees in a modern educational programme: importance of the learning climate.

Science.gov (United States)

van Vendeloo, S N; Brand, P L P; Verheyen, C C P M

2014-08-01

We aimed to determine quality of life and burnout among Dutch orthopaedic trainees following a modern orthopaedic curriculum, with strict compliance to a 48-hour working week. We also evaluated the effect of the clinical climate of learning on their emotional well-being. We assessed burnout, quality of life and the clinical climate of learning in 105 orthopaedic trainees using the Maslach Burnout Inventory, linear analogue scale self-assessments, and Dutch Residency Educational Climate Test (D-RECT), respectively. A total of 19 trainees (18%) had poor quality of life and 49 (47%) were dissatisfied with the balance between their personal and professional life. Some symptoms of burnout were found in 29 trainees (28%). Higher D-RECT scores (indicating a better climate of learning) were associated with a better quality of life (r = 0.31, p = 0.001), more work-life balance satisfaction (r = 0.31, p = 0.002), fewer symptoms of emotional exhaustion (r = -0.21, p = 0.028) and depersonalisation (r = -0,28, p = 0.04). A reduced quality of life with evidence of burnout were still seen in a significant proportion of orthopaedic trainees despite following a modern curriculum with strict compliance to a 48-hour working week. It is vital that further work is undertaken to improve the quality of life and reduce burnout in this cohort. ©2014 The British Editorial Society of Bone & Joint Surgery.

From Genetics to Genetic Algorithms

Indian Academy of Sciences (India)

Genetic algorithms (GAs) are computational optimisation schemes with an ... The algorithms solve optimisation problems ..... Genetic Algorithms in Search, Optimisation and Machine. Learning, Addison-Wesley Publishing Company, Inc. 1989.

History of Science as an Instructional Context: Student Learning in Genetics and Nature of Science

Science.gov (United States)

Kim, Sun Young; Irving, Karen E.

2010-01-01

This study (1) explores the effectiveness of the contextualized history of science on student learning of nature of science (NOS) and genetics content knowledge (GCK), especially interrelationships among various genetics concepts, in high school biology classrooms; (2) provides an exemplar for teachers on how to utilize history of science in…

Exploring the Effects of Active Learning on High School Students' Outcomes and Teachers' Perceptions of Biotechnology and Genetics Instruction

Science.gov (United States)

Mueller, Ashley L.; Knobloch, Neil A.; Orvis, Kathryn S.

2015-01-01

Active learning can engage high school students to learn science, yet there is limited understanding if active learning can help students learn challenging science concepts such as genetics and biotechnology. This quasi-experimental study explored the effects of active learning compared to passive learning regarding high school students'…

Conservation Genetics of the Cheetah: Lessons Learned and New Opportunities.

Science.gov (United States)

O'Brien, Stephen J; Johnson, Warren E; Driscoll, Carlos A; Dobrynin, Pavel; Marker, Laurie

2017-09-01

The dwindling wildlife species of our planet have become a cause célèbre for conservation groups, governments, and concerned citizens throughout the world. The application of powerful new genetic technologies to surviving populations of threatened mammals has revolutionized our ability to recognize hidden perils that afflict them. We have learned new lessons of survival, adaptation, and evolution from viewing the natural history of genomes in hundreds of detailed studies. A single case history of one species, the African cheetah, Acinonyx jubatus, is here reviewed to reveal a long-term story of conservation challenges and action informed by genetic discoveries and insights. A synthesis of 3 decades of data, interpretation, and controversy, capped by whole genome sequence analysis of cheetahs, provides a compelling tale of conservation relevance and action to protect this species and other threatened wildlife. © The American Genetic Association 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Extracting quantum dynamics from genetic learning algorithms through principal control analysis

International Nuclear Information System (INIS)

White, J L; Pearson, B J; Bucksbaum, P H

2004-01-01

Genetic learning algorithms are widely used to control ultrafast optical pulse shapes for photo-induced quantum control of atoms and molecules. An unresolved issue is how to use the solutions found by these algorithms to learn about the system's quantum dynamics. We propose a simple method based on covariance analysis of the control space, which can reveal the degrees of freedom in the effective control Hamiltonian. We have applied this technique to stimulated Raman scattering in liquid methanol. A simple model of two-mode stimulated Raman scattering is consistent with the results. (letter to the editor)

Plant Modernization Programs

International Nuclear Information System (INIS)

O'Hara, John

2004-01-01

Most nuclear plants were designed and built from the 1960's through the 1990's. These plants employ predominantly analog instrumentation and control (I and C) technology, and their control rooms are made up of primarily hardwired controls (e.g., switches, knobs and handles) and displays (e.g., gauges, linear scales and indicator lights). Over the past several years, these plants have been modernized with digital I and C and computer-based human-system interfaces (HSIs) such as software-based process controls, touch-screen interfaces and large-screen, overview displays. As these computer based HIS technologies are integrated into control rooms based on conventional technology, hybrid control rooms are created. The paper summarizes lessons learned from the study of plant modernization programs over the past ten years so that they can be used to help improve the modification process. While the research focused on the impact of technology change on human performance, a number of organizational and programmatic issues were observed as well. Eleven lessons learned are presented

Eastward Expansion of Western Learning: A Study of Westernisation of China's Modern Education by Chinese Government Overseas-Study Scholarships

Science.gov (United States)

Lin, Ren-Jie Vincent

2016-01-01

This article aims to trace back the history of how Chinese Government attempted to strengthen its national power by learning from the USA, Western Europe and Japan since the mid-nineteenth century, as well as to analyse the influences Westernisation had on the development of China's modern education. In this process, the Chinese Government…

Two early studies on learning theory and genetics.

Science.gov (United States)

Jones, Marshall B

2003-11-01

The debate between Iowa and California, Spencians and Tolmanians, over the nature of learning was one of the most protracted and all-involving controversies in the history of psychology. Spencians argued that learning consisted of stimulus-response connections and grew incrementally; Tolmanians that it was perceptual or cognitive and saltatory in nature. The debate was conducted largely on the basis of experiments with rats, with each side finding evidence in its own laboratories to support its views. As the debate was winding down, two studies were carried out that called attention to a possible genetic basis of the great debate. The two schools used different strains of rat and characteristically different experimental situations. The two studies, however, were difficult to access at the time and even more so since. The present paper recalls these two studies in condensed form and discusses their relevance to the great debate and to selected current concerns.

Modern Languages and Interculturality in the Primary Sector in England, Greece, Italy and Spain.

Science.gov (United States)

Cerezal, Fernando

1997-01-01

Addresses concerns and issues regarding modern language teaching and learning at primary schools in Greece, Italy, Spain, and England. It focuses on the optimal age for learning and acquiring languages and to the educational reforms which have been undertaken in each country relating to early modern language teaching and learning and…

Genetic learning in rule-based and neural systems

Science.gov (United States)

Smith, Robert E.

1993-01-01

The design of neural networks and fuzzy systems can involve complex, nonlinear, and ill-conditioned optimization problems. Often, traditional optimization schemes are inadequate or inapplicable for such tasks. Genetic Algorithms (GA's) are a class of optimization procedures whose mechanics are based on those of natural genetics. Mathematical arguments show how GAs bring substantial computational leverage to search problems, without requiring the mathematical characteristics often necessary for traditional optimization schemes (e.g., modality, continuity, availability of derivative information, etc.). GA's have proven effective in a variety of search tasks that arise in neural networks and fuzzy systems. This presentation begins by introducing the mechanism and theoretical underpinnings of GA's. GA's are then related to a class of rule-based machine learning systems called learning classifier systems (LCS's). An LCS implements a low-level production-system that uses a GA as its primary rule discovery mechanism. This presentation illustrates how, despite its rule-based framework, an LCS can be thought of as a competitive neural network. Neural network simulator code for an LCS is presented. In this context, the GA is doing more than optimizing and objective function. It is searching for an ecology of hidden nodes with limited connectivity. The GA attempts to evolve this ecology such that effective neural network performance results. The GA is particularly well adapted to this task, given its naturally-inspired basis. The LCS/neural network analogy extends itself to other, more traditional neural networks. Conclusions to the presentation discuss the implications of using GA's in ecological search problems that arise in neural and fuzzy systems.

On the origin of modern humans: Asian perspectives.

Science.gov (United States)

Bae, Christopher J; Douka, Katerina; Petraglia, Michael D

2017-12-08

The traditional "out of Africa" model, which posits a dispersal of modern Homo sapiens across Eurasia as a single wave at ~60,000 years ago and the subsequent replacement of all indigenous populations, is in need of revision. Recent discoveries from archaeology, hominin paleontology, geochronology, genetics, and paleoenvironmental studies have contributed to a better understanding of the Late Pleistocene record in Asia. Important findings highlighted here include growing evidence for multiple dispersals predating 60,000 years ago in regions such as southern and eastern Asia. Modern humans moving into Asia met Neandertals, Denisovans, mid-Pleistocene Homo , and possibly H. floresiensis , with some degree of interbreeding occurring. These early human dispersals, which left at least some genetic traces in modern populations, indicate that later replacements were not wholesale. Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Genetics of Alzheimer’s Disease: Lessons Learned in Two Decades

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Nilüfer Ertekin Taner

2010-03-01

current knowledge on the genetics of AD and suggests a framework for future genetic studies utilizing the lessons learned over the past two decades.

Genetics of Alzheimer’s Disease: Lessons Learned in Two Decades

Directory of Open Access Journals (Sweden)

Nilüfer Ertekin Taner

2010-03-01

current knowledge on the genetics of AD and suggests a framework for future genetic studies utilizing the lessons learned over the past two decades

"Well, good luck with that": reactions to learning of increased genetic risk for Alzheimer disease.

Science.gov (United States)

Zallen, Doris T

2018-03-08

PurposeApolipoprotein-E (APOE) genetic testing to estimate risk for developing late-onset Alzheimer disease is increasingly being offered without prior genetic counseling or preparation. Consumer interest continues to grow, raising the question of how best to conduct such testing.MethodsTwenty-six semistructured interviews were carried out to study the reactions of individuals who had already learned of their higher risk after APOE testing had been done because of a family history of Alzheimer disease, or from genetic tests done for other health-related or general-interest reasons.ResultsAdverse psychological reactions were reported by a substantial fraction of the participants, including those who had specifically sought testing, those for whom the information came as a surprise, those with a family history, and those with no known history. Still, nearly all of those interviewed said that they had benefited in the long term from lifestyle changes, often learned from online sources, that they subsequently made.ConclusionThe results show that people should be prepared prior to any genetic testing and allowed to opt out of particular tests. If testing is carried out and a higher risk is revealed, they should be actively assisted in deciding how to proceed.GENETICS in MEDICINE advance online publication, 8 March 2018; doi:10.1038/gim.2018.13.

Genetic genealogy: the Woodson family's experience.

Science.gov (United States)

Williams, Sloan R

2005-06-01

In 1998, Foster and colleagues published the results of a genetic study intended to test whether Thomas Jefferson could have fathered any of Sally Hemings' children. They found that the Jefferson Y chromosome haplotype matched that of a descendant of Hemings' youngest child, but not that of the descendants of the eldest son, Thomas Woodson. The Woodson descendants were shocked by the study's finding, which disagreed with their family oral history. They were suspicious of the study conclusions because of the methods used in recruiting participants for the study and the manner in which they learned of the results. The Woodsons' experience as participants in one of the first examples of genetic genealogy illustrates several issues that both geneticists and amateur genetic genealogists will face in studies of this kind. Misperceptions about the relationship between biology and race, and group genetics in general, can make the interpretation of genetic data difficult. Continuing collaborations between the media and the scientific community will help the public to better understand the risks as well as the benefits of genetic genealogy. Researchers must decide prior to beginning their research what role the human subjects will play in the study and when they will be notified of the study's conclusions. Amateur genetic genealogists should anticipate unexpected outcomes, such as the identification of nonpaternity, to minimize any harmful effects to study participants. Although modern genetic methods provide a powerful new tool for genealogical study, they cannot resolve all genealogical issues, as this study shows, and can involve unanticipated risks to the participants.

Use of modern tomato breeding germplasm for deciphering the genetic control of agronomical traits by Genome Wide Association study.

Science.gov (United States)

Bauchet, Guillaume; Grenier, Stéphane; Samson, Nicolas; Bonnet, Julien; Grivet, Laurent; Causse, Mathilde

2017-05-01

A panel of 300 tomato accessions including breeding materials was built and characterized with >11,000 SNP. A population structure in six subgroups was identified. Strong heterogeneity in linkage disequilibrium and recombination landscape among groups and chromosomes was shown. GWAS identified several associations for fruit weight, earliness and plant growth. Genome-wide association studies (GWAS) have become a method of choice in quantitative trait dissection. First limited to highly polymorphic and outcrossing species, it is now applied in horticultural crops, notably in tomato. Until now GWAS in tomato has been performed on panels of heirloom and wild accessions. Using modern breeding materials would be of direct interest for breeding purpose. To implement GWAS on a large panel of 300 tomato accessions including 168 breeding lines, this study assessed the genetic diversity and linkage disequilibrium decay and revealed the population structure and performed GWA experiment. Genetic diversity and population structure analyses were based on molecular markers (>11,000 SNP) covering the whole genome. Six genetic subgroups were revealed and associated to traits of agronomical interest, such as fruit weight and disease resistance. Estimates of linkage disequilibrium highlighted the heterogeneity of its decay among genetic subgroups. Haplotype definition allowed a fine characterization of the groups and their recombination landscape revealing the patterns of admixture along the genome. Selection footprints showed results in congruence with introgressions. Taken together, all these elements refined our knowledge of the genetic material included in this panel and allowed the identification of several associations for fruit weight, plant growth and earliness, deciphering the genetic architecture of these complex traits and identifying several new loci useful for tomato breeding.

Early modern human diversity suggests subdivided population structure and a complex out-of-Africa scenario

Science.gov (United States)

Gunz, Philipp; Bookstein, Fred L.; Mitteroecker, Philipp; Stadlmayr, Andrea; Seidler, Horst; Weber, Gerhard W.

2009-01-01

The interpretation of genetic evidence regarding modern human origins depends, among other things, on assessments of the structure and the variation of ancient populations. Because we lack genetic data from the time when the first anatomically modern humans appeared, between 200,000 and 60,000 years ago, instead we exploit the phenotype of neurocranial geometry to compare the variation in early modern human fossils with that in other groups of fossil Homo and recent modern humans. Variation is assessed as the mean-squared Procrustes distance from the group average shape in a representation based on several hundred neurocranial landmarks and semilandmarks. We find that the early modern group has more shape variation than any other group in our sample, which covers 1.8 million years, and that they are morphologically similar to recent modern humans of diverse geographically dispersed populations but not to archaic groups. Of the currently competing models of modern human origins, some are inconsistent with these findings. Rather than a single out-of-Africa dispersal scenario, we suggest that early modern humans were already divided into different populations in Pleistocene Africa, after which there followed a complex migration pattern. Our conclusions bear implications for the inference of ancient human demography from genetic models and emphasize the importance of focusing research on those early modern humans, in particular, in Africa. PMID:19307568

Teaching biology through statistics: application of statistical methods in genetics and zoology courses.

Science.gov (United States)

Colon-Berlingeri, Migdalisel; Burrowes, Patricia A

2011-01-01

Incorporation of mathematics into biology curricula is critical to underscore for undergraduate students the relevance of mathematics to most fields of biology and the usefulness of developing quantitative process skills demanded in modern biology. At our institution, we have made significant changes to better integrate mathematics into the undergraduate biology curriculum. The curricular revision included changes in the suggested course sequence, addition of statistics and precalculus as prerequisites to core science courses, and incorporating interdisciplinary (math-biology) learning activities in genetics and zoology courses. In this article, we describe the activities developed for these two courses and the assessment tools used to measure the learning that took place with respect to biology and statistics. We distinguished the effectiveness of these learning opportunities in helping students improve their understanding of the math and statistical concepts addressed and, more importantly, their ability to apply them to solve a biological problem. We also identified areas that need emphasis in both biology and mathematics courses. In light of our observations, we recommend best practices that biology and mathematics academic departments can implement to train undergraduates for the demands of modern biology.

Machine learning patterns for neuroimaging-genetic studies in the cloud.

Science.gov (United States)

Da Mota, Benoit; Tudoran, Radu; Costan, Alexandru; Varoquaux, Gaël; Brasche, Goetz; Conrod, Patricia; Lemaitre, Herve; Paus, Tomas; Rietschel, Marcella; Frouin, Vincent; Poline, Jean-Baptiste; Antoniu, Gabriel; Thirion, Bertrand

2014-01-01

Brain imaging is a natural intermediate phenotype to understand the link between genetic information and behavior or brain pathologies risk factors. Massive efforts have been made in the last few years to acquire high-dimensional neuroimaging and genetic data on large cohorts of subjects. The statistical analysis of such data is carried out with increasingly sophisticated techniques and represents a great computational challenge. Fortunately, increasing computational power in distributed architectures can be harnessed, if new neuroinformatics infrastructures are designed and training to use these new tools is provided. Combining a MapReduce framework (TomusBLOB) with machine learning algorithms (Scikit-learn library), we design a scalable analysis tool that can deal with non-parametric statistics on high-dimensional data. End-users describe the statistical procedure to perform and can then test the model on their own computers before running the very same code in the cloud at a larger scale. We illustrate the potential of our approach on real data with an experiment showing how the functional signal in subcortical brain regions can be significantly fit with genome-wide genotypes. This experiment demonstrates the scalability and the reliability of our framework in the cloud with a 2 weeks deployment on hundreds of virtual machines.

Genetic dissection of memory for associative and non-associative learning in Caenorhabditis elegans.

Science.gov (United States)

Lau, H L; Timbers, T A; Mahmoud, R; Rankin, C H

2013-03-01

The distinction between non-associative and associative forms of learning has historically been based on the behavioral training paradigm. Through discovering the molecular mechanisms that mediate learning, we can develop a deeper understanding of the relationships between different forms of learning. Here, we genetically dissect short- and long-term memory for a non-associative form of learning, habituation and an associative form of learning, context conditioning for habituation, in the nematode Caenorhabditis elegans. In short-term chemosensory context conditioning for habituation, worms trained and tested in the presence of either a taste (sodium acetate) or smell (diacetyl) context cue show greater retention of habituation to tap stimuli when compared with animals trained and tested without a salient cue. Long-term memory for olfactory context conditioning was observed 24 h after a training procedure that does not normally induce 24 h memory. Like long-term habituation, this long-term memory was dependent on the transcription factor cyclic AMP-response element-binding protein. Worms with mutations in glr-1 [a non-N-methyl-d-aspartate (NMDA)-type glutamate receptor subunit] showed short-term but not long-term habituation or short- or long-term context conditioning. Worms with mutations in nmr-1 (an NMDA-receptor subunit) showed normal short- and long-term memory for habituation but did not show either short- or long-term context conditioning. Rescue of nmr-1 in the RIM interneurons rescued short- and long-term olfactory context conditioning leading to the hypothesis that these interneurons function to integrate information from chemosensory and mechanosensory systems for associative learning. © 2012 The Authors. Genes, Brain and Behavior © 2012 Blackwell Publishing Ltd and International Behavioural and Neural Genetics Society.

Teacher's opinion about learning continuum of genetics based on student's level of competence

Science.gov (United States)

Juniati, Etika; Subali, Bambang

2017-08-01

This study focuses on designing learning continuum for developing a curriculum. The objective of this study is to get the opinion of junior and senior high school teachers about Learning Continuum based on Student's Level of Competence and Specific Pedagogical Learning Material on Aspect of Genetics Aspects. This research is a survey research involving 281 teachers from junior and senior high school teachers as respondents taken from five districts and city in Yogyakarta Special Region. The results of this study show that most of the junior high school teachers argue that sub aspects individual reproduction should be taught to students of grade VII and IX, virus reproduction at the grade X, and cell reproduction to mutation at the grade IX with level of competence to understand (C2) while most of the senior high school teachers argue that sub aspects individual, cell, and virus reproduction must be taught to students of grade X and division mechanism to mutation at the grade XII with level of competence to understand (C2), apply (C3), and analyze (C4). Based on the opinion of teachers, sub concepts in genetics can be taught from junior high school with different in the scope of materials but learning continuum that has been developed is not relevant with the students cognitive development and their grades.

No evidence of Neandertal mtDNA contribution to early modern humans.

Directory of Open Access Journals (Sweden)

David Serre

2004-03-01

Full Text Available The retrieval of mitochondrial DNA (mtDNA sequences from four Neandertal fossils from Germany, Russia, and Croatia has demonstrated that these individuals carried closely related mtDNAs that are not found among current humans. However, these results do not definitively resolve the question of a possible Neandertal contribution to the gene pool of modern humans since such a contribution might have been erased by genetic drift or by the continuous influx of modern human DNA into the Neandertal gene pool. A further concern is that if some Neandertals carried mtDNA sequences similar to contemporaneous humans, such sequences may be erroneously regarded as modern contaminations when retrieved from fossils. Here we address these issues by the analysis of 24 Neandertal and 40 early modern human remains. The biomolecular preservation of four Neandertals and of five early modern humans was good enough to suggest the preservation of DNA. All four Neandertals yielded mtDNA sequences similar to those previously determined from Neandertal individuals, whereas none of the five early modern humans contained such mtDNA sequences. In combination with current mtDNA data, this excludes any large genetic contribution by Neandertals to early modern humans, but does not rule out the possibility of a smaller contribution.

Hypopituitarism in Children. Modern Laboratory and Genetic Diagnosis

Directory of Open Access Journals (Sweden)

Ye.V. Hloba

2016-04-01

Full Text Available The lecture presents the current international guidelines on the diagnosis of hypopituitarism in children, in particular the rules of stimulation tests for the diagnosis of growth hormone deficiency, secondary hypogonadism and hypocorticism. It is recommended to use the anti-Müllerian hormone and inhibin B to diagnose different forms of hypogonadism. Genetic methods are also recommended to make a correct diagnosis, to prescribe a proper treatment and to provide a medical and genetic counseling of family members.

Problematic Methods in teaching Modern History. An alternative or a necessity?

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Yohany Peralta Pérez

2012-06-01

Full Text Available The article presents the results of the analysis from the study of the theoretical research on the use of problematic methods in Teaching Learning Process of Modern H istory course in Rafael Maria de Mendive University of Pinar del Rio. An anal ysis o f the use of problematic methods in the Process of Teaching Modern History course from the definition of method taking into account the theoretical assumptions of scholars of the subject matter and the advantages and disadvantages provided by the use of these methods in the Teaching Learning Process of Modern History course.

CuboCube: Student creation of a cancer genetics e-textbook using open-access software for social learning.

Directory of Open Access Journals (Sweden)

Puya Seid-Karbasi

2017-03-01

Full Text Available Student creation of educational materials has the capacity both to enhance learning and to decrease costs. Three successive honors-style classes of undergraduate students in a cancer genetics class worked with a new software system, CuboCube, to create an e-textbook. CuboCube is an open-source learning materials creation system designed to facilitate e-textbook development, with an ultimate goal of improving the social learning experience for students. Equipped with crowdsourcing capabilities, CuboCube provides intuitive tools for nontechnical and technical authors alike to create content together in a structured manner. The process of e-textbook development revealed both strengths and challenges of the approach, which can inform future efforts. Both the CuboCube platform and the Cancer Genetics E-textbook are freely available to the community.

The role of classical and modern teaching methods in business education

Directory of Open Access Journals (Sweden)

Conțu Eleonora Gabriela

2017-07-01

Full Text Available Nowadays the training-educational process is a dynamic and complex process which uses both classical and modern teaching methods in order to obtain performance in education. Even though traditional teaching methods have a formal character interaction between teacher and students, this is face-to-face and therefore students can give an immediate feedback. From this point of view classical teaching methods are important from time to time. In Romania, in the European context the role of effective learning strategies represents the key point for the education process. The role of teachers in developing creativity to those students who want to learn in an interactive way is very important because they should imply that students directly in the training -educational process. In this context the educational process must be student centered because only in this way their critical thinking and creativity is developed. We can say that when non-formal and informal learning is combined with formal learning the scope of pedagogy is accomplish. In contemporary context education is regarded as an innovative concept which is used to produce performance at the individual level and also, at institutional level, education provides support in order to build strategies according to the challenges from the labour market. The paper is based on a qualitative research, conducted on a sample of 100 people aged between 19 and 23 years old (students at a Business School. The key question raised at this point is: What is the role of classical and modern teaching methods in training-educational process? The objectives of this study are the following: 1. highlighting the context of higher education in Romania; 2. presenting the role of university strategy in contemporary context; 3. highlighting the importance of using classical/modern teaching methods in business education; 4. presenting the role of innovation and creativity in business education; 5. presenting the analysis

Valenced action/inhibition learning in humans is modulated by a genetic variant linked to dopamine D2 receptor expression

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Anni eRichter

2014-08-01

Full Text Available Motivational salience plays an important role in shaping human behavior, but recent studies demonstrate that human performance is not uniformly improved by motivation. Instead, action has been shown to dominate valence in motivated tasks, and it is particularly difficult for humans to learn the inhibition of an action to obtain a reward, but the neural mechanism behind this behavioral specificity is yet unclear. In all mammals, including humans, the monoamine neurotransmitter dopamine is particularly important in the neural manifestation of appetitively motivated behavior, and the human dopamine system is subject to considerable genetic variability. The well-studied TaqIA restriction fragment length polymorphism (rs1800497 has previously been shown to affect striatal dopamine metabolism. In this study we investigated a potential effect of this genetic variation on motivated action/inhibition learning. Two independent cohorts consisting of 87 and 95 healthy participants, respectively, were tested using the previously described valenced go/no-go learning paradigm in which participants learned the reward-associated no-go condition significantly worse than all other conditions. This effect was modulated by the TaqIA polymorphism, with carriers of the A1 allele showing a diminished learning-related performance enhancement in the rewarded no-go condition compared to the A2 homozygotes. This result highlights a modulatory role for genetic variability of the dopaminergic system in individual learning differences of action-valence interaction.

[Aerobic methylobacteria as promising objects of modern biotechnology].

Science.gov (United States)

Doronina, N V; Toronskava, L; Fedorov, D N; Trotsenko, Yu A

2015-01-01

The experimental data of the past decade concerning the metabolic peculiarities of aerobic meth ylobacteria and the prospects for their use in different fields of modern biotechnology, including genetic engineering techniques, have been summarized.

ELECTRONIC EDUCATIONAL RESOURCES FOR ONLINE SUPPORT OF MODERN CHEMISTRY CLASSES IN SPECIALIZED SCHOOL

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Maria D. Tukalo

2013-09-01

Full Text Available This article contains material of some modern electronic educational resources that can be used via the Internet to support the modern chemistry classes in specialized school. It was drawn attention to the educational chemical experiments as means of knowledge; simulated key motivational characteristics to enhance students interest for learning subjects, their cognitive and practical activity in the formation of self-reliance and self-creative; commented forecasts for creating of conditions to enhance the creative potential of students in a modern learning environment.

Modern physics for scientists and engineers

CERN Document Server

Morrison, John C

2015-01-01

The second edition of Modern Physics for Scientists and Engineers is intended for a first course in modern physics. Beginning with a brief and focused account of the historical events leading to the formulation of modern quantum theory, later chapters delve into the underlying physics. Streamlined content, chapters on semiconductors, Dirac equation and quantum field theory, as well as a robust pedagogy and ancillary package, including an accompanying website with computer applets, assist students in learning the essential material. The applets provide a realistic description of the energy levels and wave functions of electrons in atoms and crystals. The Hartree-Fock and ABINIT applets are valuable tools for studying the properties of atoms and semiconductors.

An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules

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Antonio

2012-04-01

Full Text Available Fuzzy modelling research has traditionally focused on certain types of fuzzy rules. However, the use of alternative rule models could improve the ability of fuzzy systems to represent a specific problem. In this proposal, an extended fuzzy rule model, that can include relations between variables in the antecedent of rules is presented. Furthermore, a learning algorithm based on the iterative genetic approach which is able to represent the knowledge using this model is proposed as well. On the other hand, potential relations among initial variables imply an exponential growth in the feasible rule search space. Consequently, two filters for detecting relevant potential relations are added to the learning algorithm. These filters allows to decrease the search space complexity and increase the algorithm efficiency. Finally, we also present an experimental study to demonstrate the benefits of using fuzzy relational rules.

Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud

Directory of Open Access Journals (Sweden)

Benoit eDa Mota

2014-04-01

Full Text Available Brain imaging is a natural intermediate phenotype to understand the link between genetic information and behavior or brain pathologies risk factors. Massive efforts have been made in the last few years to acquire high-dimensional neuroimaging and genetic data on large cohorts of subjects. The statistical analysis of such data is carried out with increasingly sophisticated techniques and represents a great computational challenge. Fortunately, increasing computational power in distributed architectures can be harnessed, if new neuroinformatics infrastructures are designed and training to use these new tools is provided. Combining a MapReduce framework (TomusBLOB with machine learning algorithms (Scikit-learn library, we design a scalable analysis tool that can deal with non-parametric statistics on high-dimensional data. End-users describe the statistical procedure to perform and can then test the model on their own computers before running the very same code in the cloud at a larger scale. We illustrate the potential of our approach on real data with an experiment showing how the functional signal in subcortical brain regions can be significantly fit with genome-wide genotypes. This experiment demonstrates the scalability and the reliability of our framework in the cloud with a two weeks deployment on hundreds of virtual machines.

DNA Re-EvolutioN: a game for learning molecular genetics and evolution.

Science.gov (United States)

Miralles, Laura; Moran, Paloma; Dopico, Eduardo; Garcia-Vazquez, Eva

2013-01-01

Evolution is a main concept in biology, but not many students understand how it works. In this article we introduce the game DNA Re-EvolutioN as an active learning tool that uses genetic concepts (DNA structure, transcription and translation, mutations, natural selection, etc.) as playing rules. Students will learn about molecular evolution while playing a game that mixes up theory and entertainment. The game can be easily adapted to different educational levels. The main goal of this play is to arrive at the end of the game with the longest protein. Students play with pawns and dices, a board containing hypothetical events (mutations, selection) that happen to molecules, "Evolution cards" with indications for DNA mutations, prototypes of a DNA and a mRNA chain with colored "nucleotides" (plasticine balls), and small pieces simulating t-RNA with aminoacids that will serve to construct a "protein" based on the DNA chain. Students will understand how changes in DNA affect the final protein product and may be subjected to positive or negative selection, using a didactic tool funnier than classical theory lectures and easier than molecular laboratory experiments: a flexible and feasible game to learn and enjoy molecular evolution at no-cost. The game was tested by majors and non-majors in genetics from 13 different countries and evaluated with pre- and post-tests obtaining very positive results. © 2013 by The International Union of Biochemistry and Molecular Biology.

Modern Library Facilities to Enhance Learning in a Teachers' College

African Journals Online (AJOL)

This paper examines modern facilities for enhance teachers Education. A brief definition of the library was made well as attempt at what the objectives of an academic library should be. The concept, Education was examined and a brief but concise analysis of teacher education was also looked at. Modern ...

Detection of mitochondrial insertions in the nucleus (NuMts of Pleistocene and modern muskoxen

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MacPhee Ross DE

2007-04-01

Full Text Available Abstract Background Nuclear insertions of mitochondrial sequences (NuMts have been identified in a wide variety of organisms. Trafficking of genetic material from the mitochondria to the nucleus has occurred frequently during mammalian evolution and can lead to the production of a large pool of sequences with varying degrees of homology to organellar mitochondrial DNA (mtDNA sequences. This presents both opportunities and challenges for forensics, population genetics, evolutionary genetics, conservation biology and the study of DNA from ancient samples. Here we present a case in which difficulties in ascertaining the organellar mtDNA sequence from modern samples hindered their comparison to ancient DNA sequences. Results We obtained mitochondrial hypervariable region (HVR sequences from six ancient samples of tundra muskox (Ovibos moschatus that were reproducible but distinct from modern muskox sequences reported previously. Using the same PCR primers applied to the ancient specimens and the primers used to generate the modern muskox DNA sequences in a previous study, we failed to definitively identify the organellar sequence from the two modern muskox samples tested. Instead of anticipated sequence homogeneity, we obtained multiple unique sequences from both hair and blood of one modern specimen. Sequencing individual clones of a >1 kb PCR fragment from modern samples did not alleviate the problem as there was not a consistent match across the entire length of the sequences to Ovibos when compared to sequences in GenBank. Conclusion In specific taxa, due to nuclear insertions some regions of the mitochondrial genome may not be useful for the characterization of modern or ancient DNA.

Ancient genomes link early farmers from Atapuerca in Spain to modern-day Basques

Science.gov (United States)

Günther, Torsten; Valdiosera, Cristina; Malmström, Helena; Ureña, Irene; Rodriguez-Varela, Ricardo; Sverrisdóttir, Óddny Osk; Daskalaki, Evangelia A.; Skoglund, Pontus; Naidoo, Thijessen; Svensson, Emma M.; Bermúdez de Castro, José María; Carbonell, Eudald; Dunn, Michael; Storå, Jan; Iriarte, Eneko; Arsuaga, Juan Luis; Carretero, José-Miguel; Götherström, Anders; Jakobsson, Mattias

2015-01-01

The consequences of the Neolithic transition in Europe—one of the most important cultural changes in human prehistory—is a subject of great interest. However, its effect on prehistoric and modern-day people in Iberia, the westernmost frontier of the European continent, remains unresolved. We present, to our knowledge, the first genome-wide sequence data from eight human remains, dated to between 5,500 and 3,500 years before present, excavated in the El Portalón cave at Sierra de Atapuerca, Spain. We show that these individuals emerged from the same ancestral gene pool as early farmers in other parts of Europe, suggesting that migration was the dominant mode of transferring farming practices throughout western Eurasia. In contrast to central and northern early European farmers, the Chalcolithic El Portalón individuals additionally mixed with local southwestern hunter–gatherers. The proportion of hunter–gatherer-related admixture into early farmers also increased over the course of two millennia. The Chalcolithic El Portalón individuals showed greatest genetic affinity to modern-day Basques, who have long been considered linguistic and genetic isolates linked to the Mesolithic whereas all other European early farmers show greater genetic similarity to modern-day Sardinians. These genetic links suggest that Basques and their language may be linked with the spread of agriculture during the Neolithic. Furthermore, all modern-day Iberian groups except the Basques display distinct admixture with Caucasus/Central Asian and North African groups, possibly related to historical migration events. The El Portalón genomes uncover important pieces of the demographic history of Iberia and Europe and reveal how prehistoric groups relate to modern-day people. PMID:26351665

Simulating Visual Learning and Optical Illusions via a Network-Based Genetic Algorithm

Science.gov (United States)

Siu, Theodore; Vivar, Miguel; Shinbrot, Troy

We present a neural network model that uses a genetic algorithm to identify spatial patterns. We show that the model both learns and reproduces common visual patterns and optical illusions. Surprisingly, we find that the illusions generated are a direct consequence of the network architecture used. We discuss the implications of our results and the insights that we gain on how humans fall for optical illusions

Online Learning of Genetic Network Programming and its Application to Prisoner’s Dilemma Game

Science.gov (United States)

Mabu, Shingo; Hirasawa, Kotaro; Hu, Jinglu; Murata, Junichi

A new evolutionary model with the network structure named Genetic Network Programming (GNP) has been proposed recently. GNP, that is, an expansion of GA and GP, represents solutions as a network structure and evolves it by using “offline learning (selection, mutation, crossover)”. GNP can memorize the past action sequences in the network flow, so it can deal with Partially Observable Markov Decision Process (POMDP) well. In this paper, in order to improve the ability of GNP, Q learning (an off-policy TD control algorithm) that is one of the famous online methods is introduced for online learning of GNP. Q learning is suitable for GNP because (1) in reinforcement learning, the rewards an agent will get in the future can be estimated, (2) TD control doesn’t need much memory and can learn quickly, and (3) off-policy is suitable in order to search for an optimal solution independently of the policy. Finally, in the simulations, online learning of GNP is applied to a player for “Prisoner’s dilemma game” and its ability for online adaptation is confirmed.

Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming

Czech Academy of Sciences Publication Activity Database

Křen, T.; Pilát, M.; Neruda, Roman

2017-01-01

Roč. 26, č. 5 (2017), č. článku 1760020. ISSN 0218-2130 R&D Projects: GA ČR GA15-19877S Grant - others:GA MŠk(CZ) LM2015042 Institutional support: RVO:67985807 Keywords : genetic programming * machine learning workflows * asynchronous evolutionary algorithm Subject RIV: IN - Informatics, Computer Science OBOR OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Impact factor: 0.778, year: 2016

Developing legal regulatory frameworks for modern biotechnology ...

African Journals Online (AJOL)

This paper looks at attempts that have been made to develop legal regulatory frameworks for modern biotechnology. The discussion is limited to the regulation of Genetically Modified Organisms (GMO) technology by the two leading producers and exporters of GMOs in Africa: South Africa and Kenya. The international and ...

The Control Room Upgrade in Oskarshamn 2 Modernization Project Lesson Learned from Ongoing Human Factor design

International Nuclear Information System (INIS)

Thomas, Gunnarsson; Magnus, Eliasson

2011-01-01

Due to recent changes in Swedish commercial nuclear safety system requirements, OKG decided to make the changes required by the new safety requirements, apply for a 30-year license extension, and to concurrently make changes for a major power uprate; this project is called the Plant Life Extension project (PLEX). It was decided, in addition to several plant modifications, to re build the old control room to a new modern screen-based control room located in the same space as the old one, and with the same number of operators. This paper explains the approach taken when modernizing the control room as a part of the Oskarshamn 2 Modernization project PLEX, the results, and the lessons learned from this ongoing work. The combination of changes results in a modernization project that is expected to increase output power by approximately 50 MWe through increased efficiency and to result in an increase in thermal power from 1800 MWt to 2300 MWt (28%) and electrical power from 620 MWe to 840 MWe due to the power uprate. The license to operate OKG2 expires in 2012 The PLEX project is one of the most ambitious nuclear power plant modernization projects ever implemented, world-wide. The application of human factors engineering (HFE) and control room and HSI design is a complex challenge. The original main control room from 1975 in Oskarshamn 2, was quite compact and provided a fairly good overview of the process. New requirements for enhanced safety and other design changes in the process systems and instrumentation led to a step-wise installation of new information and control equipment in the control room. Since the control room was quite limited in space, the control room grew larger, and the new equipment was installed farther away from the operator workplaces into an adjacent control room. This was even the case for the new safety systems. These systems were functioning well separately as such, but in some cases their interfaces were inconsistent, leading to increased

Population genetics of traditionally managed maize : farming practice as a determinant of genetic structure and identity of maize landraces in Mexico

NARCIS (Netherlands)

Heerwaarden, van J.

2007-01-01

A large amount of crop genetic diversity is being maintained in farmers' fields worldwide. The population genetics of traditionally managed landraces is therefore of interest to the conservation of genetic resources. The growing trend towards agricultural modernization and the prospect of

A review for detecting gene-gene interactions using machine learning methods in genetic epidemiology.

Science.gov (United States)

Koo, Ching Lee; Liew, Mei Jing; Mohamad, Mohd Saberi; Salleh, Abdul Hakim Mohamed

2013-01-01

Recently, the greatest statistical computational challenge in genetic epidemiology is to identify and characterize the genes that interact with other genes and environment factors that bring the effect on complex multifactorial disease. These gene-gene interactions are also denoted as epitasis in which this phenomenon cannot be solved by traditional statistical method due to the high dimensionality of the data and the occurrence of multiple polymorphism. Hence, there are several machine learning methods to solve such problems by identifying such susceptibility gene which are neural networks (NNs), support vector machine (SVM), and random forests (RFs) in such common and multifactorial disease. This paper gives an overview on machine learning methods, describing the methodology of each machine learning methods and its application in detecting gene-gene and gene-environment interactions. Lastly, this paper discussed each machine learning method and presents the strengths and weaknesses of each machine learning method in detecting gene-gene interactions in complex human disease.

A Review for Detecting Gene-Gene Interactions Using Machine Learning Methods in Genetic Epidemiology

Directory of Open Access Journals (Sweden)

Ching Lee Koo

2013-01-01

Full Text Available Recently, the greatest statistical computational challenge in genetic epidemiology is to identify and characterize the genes that interact with other genes and environment factors that bring the effect on complex multifactorial disease. These gene-gene interactions are also denoted as epitasis in which this phenomenon cannot be solved by traditional statistical method due to the high dimensionality of the data and the occurrence of multiple polymorphism. Hence, there are several machine learning methods to solve such problems by identifying such susceptibility gene which are neural networks (NNs, support vector machine (SVM, and random forests (RFs in such common and multifactorial disease. This paper gives an overview on machine learning methods, describing the methodology of each machine learning methods and its application in detecting gene-gene and gene-environment interactions. Lastly, this paper discussed each machine learning method and presents the strengths and weaknesses of each machine learning method in detecting gene-gene interactions in complex human disease.

Current Issues in the Neurology and Genetics of Learning-Related Traits and Disorders: Introduction to the Special Issue.

Science.gov (United States)

Gilger, Jeffrey W.

2001-01-01

This introductory article briefly describes each of the following eight articles in this special issue on the neurology and genetics of learning related disorders. It notes the greater appreciation of learning disability as a set of complex disorders with broad and intricate neurological bases and of the large individual differences in how these…

Multiple maternal origins of native modern and ancient horse populations in China.

Science.gov (United States)

Lei, C Z; Su, R; Bower, M A; Edwards, C J; Wang, X B; Weining, S; Liu, L; Xie, W M; Li, F; Liu, R Y; Zhang, Y S; Zhang, C M; Chen, H

2009-12-01

To obtain more knowledge of the origin and genetic diversity of domestic horses in China, this study provides a comprehensive analysis of mitochondrial DNA (mtDNA) D-loop sequence diversity from nine horse breeds in China in conjunction with ancient DNA data and evidence from archaeological and historical records. A 247-bp mitochondrial D-loop sequence from 182 modern samples revealed a total of 70 haplotypes with a high level of genetic diversity. Seven major mtDNA haplogroups (A-G) and 16 clusters were identified for the 182 Chinese modern horses. In the present study, nine 247-bp mitochondrial D-loop sequences of ancient remains of Bronze Age horse from the Chifeng region of Inner Mongolia in China (c. 4000-2000a bp) were used to explore the origin and diversity of Chinese modern horses and the phylogenetic relationship between ancient and modern horses. The nine ancient horses carried seven haplotypes with rich genetic diversity, which were clustered together with modern individuals among haplogroups A, E and F. Modern domestic horse and ancient horse data support the multiple origins of domestic horses in China. This study supports the argument that multiple successful events of horse domestication, including separate introductions of wild mares into the domestic herds, may have occurred in antiquity, and that China cannot be excluded from these events. Indeed, the association of Far Eastern mtDNA types to haplogroup F was highly significant using Fisher's exact test of independence (P = 0.00002), lending support for Chinese domestication of this haplogroup. High diversity and all seven mtDNA haplogroups (A-G) with 16 clusters also suggest that further work is necessary to shed more light on horse domestication in China.

Learning about materials science and technology by deconstructing modern products

DEFF Research Database (Denmark)

Horsewell, Andy

Get the attention of young engineering students, interest and inspire them. Encourage them to think about materials science and technology by looking at the consumer products and gadgets that interest them. Analyse what modern products are constructed of, and how and why the materials...... teaching encourages and demands constant modernisation of the course and the materials being presented. A consideration of material and process selection for components in a modern product can be a dynamic starting point for a course on materials science and engineering; providing inspiration and showing...... and the processes have been chosen in their manufacture i.e. deconstruct modern products. Suitable items can easily be found in personal communication and entertainment, including all manner of sports goods. Further, the current pace of materials product development ensures that using these objects to focus...

PENDEKATAN PRURALISTIK MANAJEMEN KELAS MODERN DALAM KEARIFAN LOKAL (Pengelolaan Kelas Besar Pembelajaran di Pesantren

Directory of Open Access Journals (Sweden)

Muhammad 'Ainul Yakin

2016-06-01

Full Text Available Pesantren as a base class learning traditional not only reveals the traditional characters alone, but the value nalai keraifan locality pesantren which is equivalent to the concept of learning modern already exist and have been used by actors pesantren, in terms of classroom management of learning, schools are not just looking at the class of the room narrow as pembellajaran classical modern concept, but schools have given more meaning that boarding is itself actually a large classroom where efforts kijaji approach occurs pruralistik.

Plant Genetic Resources: Selected Issues from Genetic Erosion to Genetic Engineering

Directory of Open Access Journals (Sweden)

Karl Hammer

2008-04-01

Full Text Available Plant Genetic Resources (PGR continue to play an important role in the development of agriculture. The following aspects receive a special consideration:1. Definition. The term was coined in 1970. The genepool concept served as an important tool in the further development. Different approaches are discussed.2. Values of Genetic Resources. A short introduction is highlighting this problem and stressing the economic usfulness of PGR.3. Genetic Erosion. Already observed by E. Baur in 1914, this is now a key issue within PGR. The case studies cited include Ethiopia, Italy, China, S Korea, Greece and S. Africa. Modern approaches concentrate on allelic changes in varieties over time but neglect the landraces. The causes and consequences of genetic erosion are discussed.4. Genetic Resources Conservation. Because of genetic erosion there is a need for conservation. PGR should be consigned to the appropriate method of conservation (ex situ, in situ, on-farm according to the scientific basis of biodiversity (genetic diversity, species diversity, ecosystem diversity and the evolutionary status of plants (cultivated plants, weeds, related wild plants (crop wild relatives.5. GMO. The impact of genetically engineered plants on genetic diversity is discussed.6. The Conclusions and Recommendations stress the importance of PGR. Their conservation and use are urgent necessities for the present development and future survival of mankind.

Learning about Learning: A Conundrum and a Possible Resolution

Science.gov (United States)

Barnett, Ronald

2011-01-01

What is it to learn in the modern world? We can identify four "learning epochs" through which our understanding of learning has passed: a metaphysical view; an empirical view; an experiential view; and, currently, a "learning-amid-contestation" view. In this last and current view, learning has its place in a world in which, the more one learns,…

Knowledge, Communication and E-learning in Higher Education Perception and Differences of Traditional and Modern Academic Status

Directory of Open Access Journals (Sweden)

Silvia-Adriana Tomescu

2010-06-01

Full Text Available The aim of the present analyze is to underline the importance of a systemic approach of knowledge communication in eLearning academic sphere, in order to improve the efficiency and quality of research. Atthe same time, we intend to notice and shape the evolution of both teacher and learner status in higher education. The rhetoric about knowledge is often associated with organization and transfer of information. To provide students with a modern understanding of the „shared values” in higher education has become an important objective. The teachers have to adapt new forms of e-delivery of discipline content, form and inform about e-resources for learning. We have to develop national strategies and add value to the role ofuniversity as a key factor in e-learning. The knowledge transfer at academic level, can be fully realized only when information encounters in the student the optimal set of tools designed to facilitate learning, and an individual style of thinking, so as to analyze fundamental questions and to be able to validate or invalidate the information. The teacher status evolves from content expert to metacognition expert, from guide in valuable information search to knowledge communicator. The present analyze reflects some aspects of the consequences that new forms of communication evolved during transition from traditional to e-academic environment.

Southern African ancient genomes estimate modern human divergence to 350,000 to 260,000 years ago.

Science.gov (United States)

Schlebusch, Carina M; Malmström, Helena; Günther, Torsten; Sjödin, Per; Coutinho, Alexandra; Edlund, Hanna; Munters, Arielle R; Vicente, Mário; Steyn, Maryna; Soodyall, Himla; Lombard, Marlize; Jakobsson, Mattias

2017-11-03

Southern Africa is consistently placed as a potential region for the evolution of Homo sapiens We present genome sequences, up to 13x coverage, from seven ancient individuals from KwaZulu-Natal, South Africa. The remains of three Stone Age hunter-gatherers (about 2000 years old) were genetically similar to current-day southern San groups, and those of four Iron Age farmers (300 to 500 years old) were genetically similar to present-day Bantu-language speakers. We estimate that all modern-day Khoe-San groups have been influenced by 9 to 30% genetic admixture from East Africans/Eurasians. Using traditional and new approaches, we estimate the first modern human population divergence time to between 350,000 and 260,000 years ago. This estimate increases the deepest divergence among modern humans, coinciding with anatomical developments of archaic humans into modern humans, as represented in the local fossil record. Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Late Pleistocene climate change and the global expansion of anatomically modern humans

Science.gov (United States)

Eriksson, Anders; Betti, Lia; Friend, Andrew D.; Lycett, Stephen J.; Singarayer, Joy S.; von Cramon-Taubadel, Noreen; Valdes, Paul J.; Balloux, Francois; Manica, Andrea

2012-01-01

The extent to which past climate change has dictated the pattern and timing of the out-of-Africa expansion by anatomically modern humans is currently unclear [Stewart JR, Stringer CB (2012) Science 335:1317–1321]. In particular, the incompleteness of the fossil record makes it difficult to quantify the effect of climate. Here, we take a different approach to this problem; rather than relying on the appearance of fossils or archaeological evidence to determine arrival times in different parts of the world, we use patterns of genetic variation in modern human populations to determine the plausibility of past demographic parameters. We develop a spatially explicit model of the expansion of anatomically modern humans and use climate reconstructions over the past 120 ky based on the Hadley Centre global climate model HadCM3 to quantify the possible effects of climate on human demography. The combinations of demographic parameters compatible with the current genetic makeup of worldwide populations indicate a clear effect of climate on past population densities. Our estimates of this effect, based on population genetics, capture the observed relationship between current climate and population density in modern hunter–gatherers worldwide, providing supporting evidence for the realism of our approach. Furthermore, although we did not use any archaeological and anthropological data to inform the model, the arrival times in different continents predicted by our model are also broadly consistent with the fossil and archaeological records. Our framework provides the most accurate spatiotemporal reconstruction of human demographic history available at present and will allow for a greater integration of genetic and archaeological evidence. PMID:22988099

Classification of EEG signals using a genetic-based machine learning classifier.

Science.gov (United States)

Skinner, B T; Nguyen, H T; Liu, D K

2007-01-01

This paper investigates the efficacy of the genetic-based learning classifier system XCS, for the classification of noisy, artefact-inclusive human electroencephalogram (EEG) signals represented using large condition strings (108bits). EEG signals from three participants were recorded while they performed four mental tasks designed to elicit hemispheric responses. Autoregressive (AR) models and Fast Fourier Transform (FFT) methods were used to form feature vectors with which mental tasks can be discriminated. XCS achieved a maximum classification accuracy of 99.3% and a best average of 88.9%. The relative classification performance of XCS was then compared against four non-evolutionary classifier systems originating from different learning techniques. The experimental results will be used as part of our larger research effort investigating the feasibility of using EEG signals as an interface to allow paralysed persons to control a powered wheelchair or other devices.

Organizational Problems of Nutrition in the Context of Modernization of Education

Science.gov (United States)

Platonovaa, Raisa I.; Lebedeva, Uljana M.; Cherkashina, Anna G.; Ammosova, Liliya I.; Dokhunaeva, Alyona V.

2016-01-01

The realization of the project of regional educational systems' modernization was started in 2011. The main goal of the project is to achieve systemic positive changes in the school education, improving of learning conditions, increasing of openness, availability, efficiency of General education, introduction of modern educational technologies. In…

Modern teaching for modern education

OpenAIRE

Mirascieva, Snezana

2016-01-01

Carrying the epithet of being contemporary education today means modern teaching. If modern education is a state in the field of education of all its elements, then teaching will also be a state with its own special features defining it as modern. The main issues of concern in this paper relate to what constitutes modern teaching, which features determine it as being modern, and how much is teaching today following the trend of modernization.

A Study on Mobile Learning as a Learning Style in Modern Research Practice

Science.gov (United States)

Joan, D. R. Robert

2013-01-01

Mobile learning is a kind of learning that takes place via a portable handheld electronic device. It also refers to learning via other kinds of mobile devices such as tablet computers, net-books and digital readers. The objective of mobile learning is to provide the learner the ability to assimilate learning anywhere and at anytime. Mobile devices…

LIBRARIES, SCHOOLS AND MODERN AGE

Directory of Open Access Journals (Sweden)

Borjanka Trajković

2016-04-01

Full Text Available For centuries the role of the library was defined as a warehouse of books. Now, in the 21st century, the library is facing perhaps the biggest challenge – its physical survival. The role of librarians is re-branded to reflect their expertise as curators of content and reliable navigators in an evergrowing ocean of information - in any format they might exist. The future libraries shall be open to all the new ideas on how to work better and accept the new technologies. On the one hand, they must recognize the need to change their methods, but on the other hand - to preserve the continuity of their objectives and mission. The new era requires modern models of learning and the attractiveness of the curricula, that is, a modern education system that shall adapt the curricula to the needs of modern society and reconcile centuries of man's need for knowledge, reading books and education in general with the new technologies.

Forsmark NPP I and C modernization strategy

International Nuclear Information System (INIS)

Hallen, J.; Rydahl, I.; Kloow, L.

2003-01-01

By the year 2000, the Forsmark NPP was halfway through the planned plant life. As early as 1995, Forsmark realized that the old analog I and C equipment would need to be replaced before 2005. At the Forsmark NPP they had strength of a vision of an integrated modernization and a strategy to reach the vision. Without vision and strategy, the plant could end up with a fragmented plant I and C-architecture that is not cost-effective or operable. This paper will address several questions that led to the current modernization program in Forsmark, the more important questions are: What would happen if the modernization would be postponed? Which main requirements were to be achieved by means of the modernization strategy? The goal of a completed plant modernization program is a totally integrated system solution and what factors were considered during the modernization? How to gain acceptance from the operational staff in designing Control Room and Soft Control Displays? What are the important roles for the staff and organization to reach the end goal? What has been the experience to date and what are the lessons learned? Thanks to the long term co-operation between Forsmark and Westinghouse the modernization has been very successful for both parties. (orig.)

Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction.

Science.gov (United States)

He, Dan; Kuhn, David; Parida, Laxmi

2016-06-15

Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded numerically on a collection of plant, animal or human samples, the goal of genetic trait prediction is to predict the quantitative trait values by simultaneously modeling all marker effects. Genetic trait prediction is usually represented as linear regression models. In many cases, for the same set of samples and markers, multiple traits are observed. Some of these traits might be correlated with each other. Therefore, modeling all the multiple traits together may improve the prediction accuracy. In this work, we view the multitrait prediction problem from a machine learning angle: as either a multitask learning problem or a multiple output regression problem, depending on whether different traits share the same genotype matrix or not. We then adapted multitask learning algorithms and multiple output regression algorithms to solve the multitrait prediction problem. We proposed a few strategies to improve the least square error of the prediction from these algorithms. Our experiments show that modeling multiple traits together could improve the prediction accuracy for correlated traits. The programs we used are either public or directly from the referred authors, such as MALSAR (http://www.public.asu.edu/~jye02/Software/MALSAR/) package. The Avocado data set has not been published yet and is available upon request. dhe@us.ibm.com. © The Author 2016. Published by Oxford University Press.

Genetic secrets: Protecting privacy and confidentiality in the genetic era

Energy Technology Data Exchange (ETDEWEB)

Rothstein, M.A. [ed.

1998-07-01

Few developments are likely to affect human beings more profoundly in the long run than the discoveries resulting from advances in modern genetics. Although the developments in genetic technology promise to provide many additional benefits, their application to genetic screening poses ethical, social, and legal questions, many of which are rooted in issues of privacy and confidentiality. The ethical, practical, and legal ramifications of these and related questions are explored in depth. The broad range of topics includes: the privacy and confidentiality of genetic information; the challenges to privacy and confidentiality that may be projected to result from the emerging genetic technologies; the role of informed consent in protecting the confidentiality of genetic information in the clinical setting; the potential uses of genetic information by third parties; the implications of changes in the health care delivery system for privacy and confidentiality; relevant national and international developments in public policies, professional standards, and laws; recommendations; and the identification of research needs.

[Current options of preimplantion genetic screening and preimplantation genetic diagnostics].

Science.gov (United States)

Šimečková, V

The aim of this work is to summarize the current knowledge about preimplantation genetic screening and diagnostics. A review article. Department of Gynecology and Obstetrics, District Hospital Šternberk, IVF Clinic, Olomouc. Preimplantation genetic testing is a complex of genetic and molecular cytogenetic examinations, which can help to detect abnormalities in embryos before transfer into the uterus of the mother. These specialized examinations are based on the latest findings in genetics and assisted reproduction. The preimplantation genetic testing is necessarily associated with a method of in vitro fertilization. It is performed on isolated blastomeres on the third day of embryo cultivation. Nowadays, it is preferred trophectoderm examination of cells from the five-day blastocysts. Generally speaking, after preimplantation genetic testing, we can select only embryos without genetic load to transfer into uterus. Preimplantation genetic testing is an important part of treatment of infertility. Complex diagnostics and treatment of infertile couples are increasingly influenced by the development and use of advanced genomic technologies. Further development and application of these modern methods require close cooperation between the field of assisted reproduction and clinical genetics.

Desktop Genetics.

Science.gov (United States)

Hough, Soren H; Ajetunmobi, Ayokunmi; Brody, Leigh; Humphryes-Kirilov, Neil; Perello, Edward

2016-11-01

Desktop Genetics is a bioinformatics company building a gene-editing platform for personalized medicine. The company works with scientists around the world to design and execute state-of-the-art clustered regularly interspaced short palindromic repeats (CRISPR) experiments. Desktop Genetics feeds the lessons learned about experimental intent, single-guide RNA design and data from international genomics projects into a novel CRISPR artificial intelligence system. We believe that machine learning techniques can transform this information into a cognitive therapeutic development tool that will revolutionize medicine.

Learning to succeed in European joint projects: the role of the modern project manager--the flow-keeper.

Science.gov (United States)

Masiello, Italo

2009-09-01

The constellation of an EU-funded project-consortium is often of very disparate culture, languages, level of knowledge and technology, social competences, experiences, ideals and ambitions that may clash with one another. Hence, coordinating and managing successful European joint projects is not an easy task. This paper addresses the learning experience of managing international research projects and, through the author's own experience and literature review, attempts to exemplify the role of the flow-keeper--a modern project manager whose particular skills are to ensure the success of EU joint projects of considerable complexity. Propositions for developing the management of international joint projects are also provided.

Modern Languages in the United Kingdom

Science.gov (United States)

Coleman, James A.

2011-01-01

The article supplies an overview of UK modern languages education at school and university level. It attends particularly to trends over recent years, with regard both to numbers and to social elitism, and reflects on perceptions of language learning in the wider culture and the importance of gaining wider recognition of the value of languages…

Learning Object Metadata in a Web-Based Learning Environment

NARCIS (Netherlands)

Avgeriou, Paris; Koutoumanos, Anastasios; Retalis, Symeon; Papaspyrou, Nikolaos

2000-01-01

The plethora and variance of learning resources embedded in modern web-based learning environments require a mechanism to enable their structured administration. This goal can be achieved by defining metadata on them and constructing a system that manages the metadata in the context of the learning

Personalised Context-Aware Ubiquitous Learning System for Supporting Effective English Vocabulary Learning

Science.gov (United States)

Chen, Chih-Ming; Li, Yi-Lun

2010-01-01

Because learning English is extremely popular in non-native English speaking countries, developing modern assisted-learning schemes that facilitate effective English learning is a critical issue in English-language education. Vocabulary learning is vital within English learning because vocabulary comprises the basic building blocks of English…

Post-modern spirituality: Experience, rather than explain

African Journals Online (AJOL)

Test

2011-06-07

Jun 7, 2011 ... Under the mentorship of Andries van Aarde, I learned to understand the value of myth. I also ... The value of myth can also be appreciated even in a post-modern ..... to live a life of bread and wine and of endings and new.

A Study on Information Technology Integrated Guided Iscovery Instruction towards Students' Learning Achievement and Learning Retention

Science.gov (United States)

Shieh, Chich-Jen; Yu, Lean

2016-01-01

In the information explosion era with constant changes of information, educators have promoted various effective learning strategies for students adapting to the complex modern society. The impact and influence of traditional teaching method have information technology integrated modern instruction and science concept learning play an important…

CYBERNETICS AND GEOGRAPHICAL EDUCATION: CYBERNETICS OF LEARNING AND LEARNING OF CYBERNETICS

Directory of Open Access Journals (Sweden)

M. R. Arpentieva

2017-01-01

Full Text Available Modern geographical education implies a broad implementation of innovative technologies, allowing students to fully and deeply understand the subject and methods of professional activity, and effectively and productively act upon this understanding. Therefore, in the work of modern geographer computer and media technologies occupy a significant place, and geographic education occupies an important place in learning cybernetic disciplines: computer technologies act as an important condition for obtaining high quality professional education, as well as an important tool of professional activity of modern specialist-geographer. The article is devoted to comparing three modern approaches to the study and optimization of training Cybernetics and programming in the framework of geographical education: an approach devoted to the study of “learning styles”; the metacognitive approach to learning computer science and programming; and intersubjective, evergetic or actually cybernetic, approach. It describes their advantages and limitations in the context of geographical education, as well as the internal unity as different forms of study of productivity and conditions of the dialogical interaction between teacher and student in the context of obtaining high-quality geographical education.

Assessment of genetic and nongenetic interactions for the prediction of depressive symptomatology: an analysis of the Wisconsin Longitudinal Study using machine learning algorithms.

Science.gov (United States)

Roetker, Nicholas S; Page, C David; Yonker, James A; Chang, Vicky; Roan, Carol L; Herd, Pamela; Hauser, Taissa S; Hauser, Robert M; Atwood, Craig S

2013-10-01

We examined depression within a multidimensional framework consisting of genetic, environmental, and sociobehavioral factors and, using machine learning algorithms, explored interactions among these factors that might better explain the etiology of depressive symptoms. We measured current depressive symptoms using the Center for Epidemiologic Studies Depression Scale (n = 6378 participants in the Wisconsin Longitudinal Study). Genetic factors were 78 single nucleotide polymorphisms (SNPs); environmental factors-13 stressful life events (SLEs), plus a composite proportion of SLEs index; and sociobehavioral factors-18 personality, intelligence, and other health or behavioral measures. We performed traditional SNP associations via logistic regression likelihood ratio testing and explored interactions with support vector machines and Bayesian networks. After correction for multiple testing, we found no significant single genotypic associations with depressive symptoms. Machine learning algorithms showed no evidence of interactions. Naïve Bayes produced the best models in both subsets and included only environmental and sociobehavioral factors. We found no single or interactive associations with genetic factors and depressive symptoms. Various environmental and sociobehavioral factors were more predictive of depressive symptoms, yet their impacts were independent of one another. A genome-wide analysis of genetic alterations using machine learning methodologies will provide a framework for identifying genetic-environmental-sociobehavioral interactions in depressive symptoms.

The Driving Forces of Cultural Complexity : Neanderthals, Modern Humans, and the Question of Population Size.

Science.gov (United States)

Fogarty, Laurel; Wakano, Joe Yuichiro; Feldman, Marcus W; Aoki, Kenichi

2017-03-01

The forces driving cultural accumulation in human populations, both modern and ancient, are hotly debated. Did genetic, demographic, or cognitive features of behaviorally modern humans (as opposed to, say, early modern humans or Neanderthals) allow culture to accumulate to its current, unprecedented levels of complexity? Theoretical explanations for patterns of accumulation often invoke demographic factors such as population size or density, whereas statistical analyses of variation in cultural complexity often point to the importance of environmental factors such as food stability, in determining cultural complexity. Here we use both an analytical model and an agent-based simulation model to show that a full understanding of the emergence of behavioral modernity, and the cultural evolution that has followed, depends on understanding and untangling the complex relationships among culture, genetically determined cognitive ability, and demographic history. For example, we show that a small but growing population could have a different number of cultural traits from a shrinking population with the same absolute number of individuals in some circumstances.

IONIC LIQUIDS MATERIAL AS MODERN CONTEXT OF CHEMISTRY IN SCHOOL

Directory of Open Access Journals (Sweden)

Hernani Hernani

2016-04-01

Full Text Available One way to improve students’ chemistry literacy which is demanded in the modernization of modern technology-based chemistry learning is by studying ionic liquids. Low level of scientific literacy of students in Indonesia as revealed in the PISA in 2012 was the main reason of the research. Ionic liquids-based technology are necessary to be applied as a context for learning chemistry because: (1 the attention of the scientific an technology community in the use of ionic liquids as a new generation of green solvent, electrolyte material and fluidic engineering in recent years becomes larger, in line with the strong demands of the industry for the provision of new materials that are reliable, safe, and friendly for various purposes; (2 scientific explanations related to the context of the ionic liquid contains a lot of facts, concepts, principles, laws, models and theories can be used to reinforce the learning content as a media to develop thinking skill (process/competence as demanded by PISA; (3 The modern technology-based ionic liquid can also be used as a discourse to strengthen scientific attitude. The process of synthesis of ionic liquid involves fairly simple organic reagents, so it deserves to be included in the chemistry subject in school.

Modern information technology in the teaching of pharmacognosy

Directory of Open Access Journals (Sweden)

V. S. Dolya

2013-02-01

Full Text Available Sets out guidelines for the teaching of pharmacognosy at Zaporozhye State Medical University for credit-modular system, which contributes to students' motivation to learn throughout the training period. The use of modern information technologies in teaching Pharmacognosy.

The Nez Perce Flight to Canada: An Analysis of the Nez Perce-US Cavalry Conflicts: Applying Historical Lessons Learned to Modern Counterinsurgency and Global War on Terrorism Operations

National Research Council Canada - National Science Library

Pfau, Scott E

2006-01-01

... Cavalry pursuit of the Nez Perce. Many of the tactics, techniques, and procedures used by the modern day warriors often derive from lessons learned in early US military confrontations, such as the Nez Perce, and are applicable...

Genomic validation of the differential preservation of population history in modern human cranial anatomy.

Science.gov (United States)

Reyes-Centeno, Hugo; Ghirotto, Silvia; Harvati, Katerina

2017-01-01

In modern humans, the significant correlation between neutral genetic loci and cranial anatomy suggests that the cranium preserves a population history signature. However, there is disagreement on whether certain parts of the cranium preserve this signature to a greater degree than other parts. It is also unclear how different quantitative measures of phenotype affect the association of genetic variation and anatomy. Here, we revisit these matters by testing the correlation of genetic distances and various phenotypic distances for ten modern human populations. Geometric morphometric shape data from the crania of adult individuals (n = 224) are used to calculate phenotypic P ST , Procrustes, and Mahalanobis distances. We calculate their correlation to neutral genetic distances, F ST , derived from single nucleotide polymorphisms (SNPs). We subset the cranial data into landmark configurations that include the neurocranium, the face, and the temporal bone in order to evaluate whether these cranial regions are differentially correlated to neutral genetic variation. Our results show that P ST , Mahalanobis, and Procrustes distances are correlated with F ST distances to varying degrees. They indicate that overall cranial shape is significantly correlated with neutral genetic variation. Of the component parts examined, P ST distances for both the temporal bone and the face have a stronger association with F ST distances than the neurocranium. When controlling for population divergence time, only the whole cranium and the temporal bone have a statistically significant association with F ST distances. Our results confirm that the cranium, as a whole, and the temporal bone can be used to reconstruct modern human population history. © 2016 Wiley Periodicals, Inc.

The evolution of modern human brain shape

Science.gov (United States)

Neubauer, Simon; Hublin, Jean-Jacques; Gunz, Philipp

2018-01-01

Modern humans have large and globular brains that distinguish them from their extinct Homo relatives. The characteristic globularity develops during a prenatal and early postnatal period of rapid brain growth critical for neural wiring and cognitive development. However, it remains unknown when and how brain globularity evolved and how it relates to evolutionary brain size increase. On the basis of computed tomographic scans and geometric morphometric analyses, we analyzed endocranial casts of Homo sapiens fossils (N = 20) from different time periods. Our data show that, 300,000 years ago, brain size in early H. sapiens already fell within the range of present-day humans. Brain shape, however, evolved gradually within the H. sapiens lineage, reaching present-day human variation between about 100,000 and 35,000 years ago. This process started only after other key features of craniofacial morphology appeared modern and paralleled the emergence of behavioral modernity as seen from the archeological record. Our findings are consistent with important genetic changes affecting early brain development within the H. sapiens lineage since the origin of the species and before the transition to the Later Stone Age and the Upper Paleolithic that mark full behavioral modernity. PMID:29376123

The evolution of modern human brain shape.

Science.gov (United States)

Neubauer, Simon; Hublin, Jean-Jacques; Gunz, Philipp

2018-01-01

Modern humans have large and globular brains that distinguish them from their extinct Homo relatives. The characteristic globularity develops during a prenatal and early postnatal period of rapid brain growth critical for neural wiring and cognitive development. However, it remains unknown when and how brain globularity evolved and how it relates to evolutionary brain size increase. On the basis of computed tomographic scans and geometric morphometric analyses, we analyzed endocranial casts of Homo sapiens fossils ( N = 20) from different time periods. Our data show that, 300,000 years ago, brain size in early H. sapiens already fell within the range of present-day humans. Brain shape, however, evolved gradually within the H. sapiens lineage, reaching present-day human variation between about 100,000 and 35,000 years ago. This process started only after other key features of craniofacial morphology appeared modern and paralleled the emergence of behavioral modernity as seen from the archeological record. Our findings are consistent with important genetic changes affecting early brain development within the H. sapiens lineage since the origin of the species and before the transition to the Later Stone Age and the Upper Paleolithic that mark full behavioral modernity.

Modern 'junk food' and minimally-processed 'natural food' cafeteria diets alter the response to sweet taste but do not impair flavor-nutrient learning in rats.

Science.gov (United States)

Palframan, Kristen M; Myers, Kevin P

2016-04-01

Animals learn to prefer and increase consumption of flavors paired with postingestive nutrient sensing. Analogous effects have been difficult to observe in human studies. One possibility is experience with the modern, processed diet impairs learning. Food processing manipulates flavor, texture, sweetness, and nutrition, obscuring ordinary correspondences between sensory cues and postingestive consequences. Over time, a diet of these processed 'junk' foods may impair flavor-nutrient learning. This 'flavor-confusion' hypothesis was tested by providing rats long-term exposure to cafeteria diets of unusual breadth (2 or 3 foods per day, 96 different foods over 3 months, plus ad libitum chow). One group was fed processed foods (PF) with added sugars/fats and manipulated flavors, to mimic the sensory-nutrient properties of the modern processed diet. Another group was fed only 'natural' foods (NF) meaning minimally-processed foods without manipulated flavors or added sugars/fats (e.g., fresh fruits, vegetables, whole grains) ostensibly preserving the ordinary correspondence between flavors and nutrition. A CON group was fed chow only. In subsequent tests of flavor-nutrient learning, PF and NF rats consistently acquired strong preferences for novel nutrient-paired flavors and PF rats exhibited enhanced learned acceptance, contradicting the 'flavor-confusion' hypothesis. An unexpected finding was PF and NF diets both caused lasting reduction in ad lib sweet solution intake. Groups did not differ in reinforcing value of sugar in a progressive ratio task. In lick microstructure analysis the NF group paradoxically showed increased sucrose palatability relative to PF and CON, suggesting the diets have different effects on sweet taste evaluation. Copyright © 2016 Elsevier Inc. All rights reserved.

Learning morphological phenomena of Modern Greek an exploratory approach

OpenAIRE

Kotsanis, Y.; Dimitrios, A. Kokkinos; Manousopoulou, A.G.; Papakonstantinou, G.

1996-01-01

Educational technology is influenced by and closely related to the fields of generative epistemology, Artificial Intelligence, and the learning sciences. Relevant research literature refers to the term constructionism (Papert, 1993) and exploratory learning (diSessa et al, 1995). Constructionism and exploratory learning are a synthesis of the constructivist theory of Piaget and the opportunities offered by technology to education on thinking concretely, on learning while constructing intellig...

Generalist genes and learning disabilities.

Science.gov (United States)

Plomin, Robert; Kovas, Yulia

2005-07-01

The authors reviewed recent quantitative genetic research on learning disabilities that led to the conclusion that genetic diagnoses differ from traditional diagnoses in that the effects of relevant genes are largely general rather than specific. This research suggests that most genes associated with common learning disabilities--language impairment, reading disability, and mathematics disability--are generalists in 3 ways. First, genes that affect common learning disabilities are largely the same genes responsible for normal variation in learning abilities. Second, genes that affect any aspect of a learning disability affect other aspects of the disability. Third, genes that affect one learning disability are also likely to affect other learning disabilities. These quantitative genetic findings have far-reaching implications for molecular genetics and neuroscience as well as psychology. Copyright 2005 APA, all rights reserved.

Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks——A Case Study for the Optimal Ordering of Tables

Institute of Scientific and Technical Information of China (English)

Concha Bielza; Juan A.Fernández del Pozo; Pedro Larra(n)aga

2013-01-01

Parameter setting for evolutionary algorithms is still an important issue in evolutionary computation.There are two main approaches to parameter setting:parameter tuning and parameter control.In this paper,we introduce self-adaptive parameter control of a genetic algorithm based on Bayesian network learning and simulation.The nodes of this Bayesian network are genetic algorithm parameters to be controlled.Its structure captures probabilistic conditional (in)dependence relationships between the parameters.They are learned from the best individuals,i.e.,the best configurations of the genetic algorithm.Individuals are evaluated by running the genetic algorithm for the respective parameter configuration.Since all these runs are time-consuming tasks,each genetic algorithm uses a small-sized population and is stopped before convergence.In this way promising individuals should not be lost.Experiments with an optimal search problem for simultaneous row and column orderings yield the same optima as state-of-the-art methods but with a sharp reduction in computational time.Moreover,our approach can cope with as yet unsolved high-dimensional problems.

An E-Learning Module to Improve Nongenetic Health Professionals’ Assessment of Colorectal Cancer Genetic Risk: Feasibility Study

Science.gov (United States)

Aalfs, Cora M; Dekker, Evelien; Tanis, Pieter J; Smets, Ellen M

2017-01-01

Background Nongenetic health providers may lack the relevant knowledge, experience, and communication skills to adequately detect familial colorectal cancer (CRC), despite a positive attitude toward the assessment of history of cancer in a family. Specific training may enable them to more optimally refer patients to genetic counseling. Objective The aim of this study was to develop an e-learning module for gastroenterologists and surgeons (in training) aimed at improving attitudes, knowledge, and comprehension of communication skills, and to assess the feasibility of the e-learning module for continued medical education of these specialists. Methods A focus group helped to inform the development of a training framework. The e-learning module was then developed, followed by a feasibility test among a group of surgeons-in-training (3rd- and 4th-year residents) and then among gastroenterologists, using pre- and posttest questionnaires. Results A total of 124 surgeons-in-training and 14 gastroenterologists participated. The e-learning was positively received (7.5 on a scale of 1 to 10). Between pre- and posttest, attitude increased significantly on 6 out of the 10 items. Mean test score showed that knowledge and comprehension of communication skills improved significantly from 49% to 72% correct at pretest to 67% to 87% correct at posttest. Conclusions This study shows the feasibility of a problem-based e-learning module to help surgeons-in-training and gastroenterologists in recognizing a hereditary predisposition in patients with CRC. The e-learning led to improvements in attitude toward the assessment of cancer family history, knowledge on criteria for referral to genetic counseling for CRC, and comprehension of communication skills. PMID:29254907

When does social learning become cultural learning?

Science.gov (United States)

Heyes, Cecilia

2017-03-01

Developmental research on selective social learning, or 'social learning strategies', is currently a rich source of information about when children copy behaviour, and who they prefer to copy. It also has the potential to tell us when and how human social learning becomes cultural learning; i.e. mediated by psychological mechanisms that are specialized, genetically or culturally, to promote cultural inheritance. However, this review article argues that, to realize its potential, research on the development of selective social learning needs more clearly to distinguish functional from mechanistic explanation; to achieve integration with research on attention and learning in adult humans and 'dumb' animals; and to recognize that psychological mechanisms can be specialized, not only by genetic evolution, but also by associative learning and cultural evolution. © 2015 John Wiley & Sons Ltd.

Genetic secrets: Protecting privacy and confidentiality in the genetic era. Final report

Energy Technology Data Exchange (ETDEWEB)

Rothstein, M.A. [ed.

1998-09-01

Few developments are likely to affect human beings more profoundly in the long run than the discoveries resulting from advances in modern genetics. Although the developments in genetic technology promise to provide many additional benefits, their application to genetic screening poses ethical, social, and legal questions, many of which are rooted in issues of privacy and confidentiality. The ethical, practical, and legal ramifications of these and related questions are explored in depth. The broad range of topics includes: the privacy and confidentiality of genetic information; the challenges to privacy and confidentiality that may be projected to result from the emerging genetic technologies; the role of informed consent in protecting the confidentiality of genetic information in the clinical setting; the potential uses of genetic information by third parties; the implications of changes in the health care delivery system for privacy and confidentiality; relevant national and international developments in public policies, professional standards, and laws; recommendations; and the identification of research needs.

The genetic history of Ice Age Europe.

Science.gov (United States)

Fu, Qiaomei; Posth, Cosimo; Hajdinjak, Mateja; Petr, Martin; Mallick, Swapan; Fernandes, Daniel; Furtwängler, Anja; Haak, Wolfgang; Meyer, Matthias; Mittnik, Alissa; Nickel, Birgit; Peltzer, Alexander; Rohland, Nadin; Slon, Viviane; Talamo, Sahra; Lazaridis, Iosif; Lipson, Mark; Mathieson, Iain; Schiffels, Stephan; Skoglund, Pontus; Derevianko, Anatoly P; Drozdov, Nikolai; Slavinsky, Vyacheslav; Tsybankov, Alexander; Cremonesi, Renata Grifoni; Mallegni, Francesco; Gély, Bernard; Vacca, Eligio; Morales, Manuel R González; Straus, Lawrence G; Neugebauer-Maresch, Christine; Teschler-Nicola, Maria; Constantin, Silviu; Moldovan, Oana Teodora; Benazzi, Stefano; Peresani, Marco; Coppola, Donato; Lari, Martina; Ricci, Stefano; Ronchitelli, Annamaria; Valentin, Frédérique; Thevenet, Corinne; Wehrberger, Kurt; Grigorescu, Dan; Rougier, Hélène; Crevecoeur, Isabelle; Flas, Damien; Semal, Patrick; Mannino, Marcello A; Cupillard, Christophe; Bocherens, Hervé; Conard, Nicholas J; Harvati, Katerina; Moiseyev, Vyacheslav; Drucker, Dorothée G; Svoboda, Jiří; Richards, Michael P; Caramelli, David; Pinhasi, Ron; Kelso, Janet; Patterson, Nick; Krause, Johannes; Pääbo, Svante; Reich, David

2016-06-09

Modern humans arrived in Europe ~45,000 years ago, but little is known about their genetic composition before the start of farming ~8,500 years ago. Here we analyse genome-wide data from 51 Eurasians from ~45,000-7,000 years ago. Over this time, the proportion of Neanderthal DNA decreased from 3-6% to around 2%, consistent with natural selection against Neanderthal variants in modern humans. Whereas there is no evidence of the earliest modern humans in Europe contributing to the genetic composition of present-day Europeans, all individuals between ~37,000 and ~14,000 years ago descended from a single founder population which forms part of the ancestry of present-day Europeans. An ~35,000-year-old individual from northwest Europe represents an early branch of this founder population which was then displaced across a broad region, before reappearing in southwest Europe at the height of the last Ice Age ~19,000 years ago. During the major warming period after ~14,000 years ago, a genetic component related to present-day Near Easterners became widespread in Europe. These results document how population turnover and migration have been recurring themes of European prehistory.

Journal of Genetics | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Genetics; Volume 96; Issue 5. Haldane and modern evolutionary genetics. BRIAN CHARLESWORTH. HALDANE AT 125 Volume 96 Issue 5 November 2017 pp 773-782. Fulltext. Click here to view fulltext PDF. Permanent link: https://www.ias.ac.in/article/fulltext/jgen/096/05/0773-0782. Keywords.

A burgeoning science of embryological genetics demands a modern ethics.

Science.gov (United States)

Edwards, R G

2007-09-01

This brief article discusses the nature of recent scientific advances in reproductive biomedicine and genetics, their moral implications and their effects on society. The pace of research has amplified exponentially, leading society into situations incomprehended by our ancestors. Early studies on reproductive biology in animals, and clinical methods such as artificial insemination by donor spermatozoa, were introduced several centuries ago and led to prolonged ethical disagreements. The 20th century witnessed the introduction of controlled ovulation in laboratory animals, the fertilization of the oocyte and preimplantation embryology in mammalian species. The second half of this century produced an avalanche of knowledge on genetics, developmental biology, the fertilization of the human oocyte in vitro, test-tube babies, preimplantation genetic diagnosis, designer babies, stem cells and a deeper understanding of molecular differentiation in the human embryo. The ethical and legal aspects of these items have led to intense debates on their rights and wrongs. The future may have even more bizarre possibilities such as producing medicines in cow's milk or trees and delaying death for many years.

Moving Speciation Genetics Forward: Modern Techniques Build on Foundational Studies in Drosophila.

Science.gov (United States)

Castillo, Dean M; Barbash, Daniel A

2017-11-01

The question of how new species evolve has been examined at every level, from macroevolutionary patterns of diversification to molecular population genetic analyses of specific genomic regions between species pairs. Drosophila has been at the center of many of these research efforts. Though our understanding of the speciation process has grown considerably over the past few decades, very few genes have been identified that contribute to barriers to reproduction. The development of advanced molecular genetic and genomic methods provides promising avenues for the rapid discovery of more genes that contribute to speciation, particularly those involving prezygotic isolation. The continued expansion of tools and resources, especially for species other than Drosophila melanogaster , will be most effective when coupled with comparative approaches that reveal the genetic basis of reproductive isolation across a range of divergence times. Future research programs in Drosophila have high potential to answer long-standing questions in speciation. These include identifying the selective forces that contribute to divergence between populations and the genetic basis of traits that cause reproductive isolation. The latter can be expanded upon to understand how the genetic basis of reproductive isolation changes over time and whether certain pathways and genes are more commonly involved. Copyright © 2017 by the Genetics Society of America.

Generative Learning: Adults Learning within Ambiguity

Science.gov (United States)

Nicolaides, Aliki

2015-01-01

This study explored the extent to which ambiguity can serve as a catalyst for adult learning. The purpose of this study is to understand learning that is generated when encountering ambiguity agitated by the complexity of liquid modernity. "Ambiguity," in this study, describes an encounter with an appearance of reality that is at first…

Semi-supervised Learning with Deep Generative Models

NARCIS (Netherlands)

Kingma, D.P.; Rezende, D.J.; Mohamed, S.; Welling, M.

2014-01-01

The ever-increasing size of modern data sets combined with the difficulty of obtaining label information has made semi-supervised learning one of the problems of significant practical importance in modern data analysis. We revisit the approach to semi-supervised learning with generative models and

Exploring Middle School Students' Understanding of Three Conceptual Models in Genetics

Science.gov (United States)

Freidenreich, Hava Bresler; Duncan, Ravit Golan; Shea, Nicole

2011-01-01

Genetics is the cornerstone of modern biology and a critical aspect of scientific literacy. Research has shown, however, that many high school graduates lack fundamental understandings in genetics necessary to make informed decisions about issues and emerging technologies in this domain, such as genetic screening, genetically modified foods, etc.…

Genetic or pharmacological reduction of PERK enhances cortical-dependent taste learning.

Science.gov (United States)

Ounallah-Saad, Hadile; Sharma, Vijendra; Edry, Efrat; Rosenblum, Kobi

2014-10-29

Protein translation initiation is controlled by levels of eIF2α phosphorylation (p-eIF2α) on Ser51. In addition, increased p-eIF2α levels impair long-term synaptic plasticity and memory consolidation, whereas decreased levels enhance them. Levels of p-eIF2α are determined by four kinases, of which protein kinase RNA-activated (PKR), PKR-like endoplastic reticulum kinase (PERK), and general control nonderepressible 2 are extensively expressed in the mammalian mature brain. Following identification of PERK as the major kinase to determine basal levels of p-eIF2α in primary neuronal cultures, we tested its function as a physiological constraint of memory consolidation in the cortex, the brain structure suggested to store, at least in part, long-term memories in the mammalian brain. To that aim, insular cortex (IC)-dependent positive and negative forms of taste learning were used. Genetic reduction of PERK expression was accomplished by local microinfusion of a lentivirus harboring PERK Short hairpin RNA, and pharmacological inhibition was achieved by local microinfusion of a PERK-specific inhibitor (GSK2606414) to the rat IC. Both genetic reduction of PERK expression and pharmacological inhibition of its activity reduced p-eIF2α levels and enhanced novel taste learning and conditioned taste aversion, but not memory retrieval. Moreover, enhanced extinction was observed together with enhanced associative memory, suggesting increased cortical-dependent behavioral plasticity. The results suggest that, by phosphorylating eIF2α, PERK functions in the cortex as a physiological constraint of memory consolidation, and its downregulation serves as cognitive enhancement. Copyright © 2014 the authors 0270-6474/14/3314624-09$15.00/0.

Methodology of a Modern Foreign Language Lesson for Postgraduate Students of Technical Disciplines

Science.gov (United States)

Toporkova, Olga; Novozhenina, Elena; Tchechet, Tamara; Likhacheva, Tatiana

2014-01-01

The integration of Russia into the international common space of research and education accompanied by modernization of the national system of education puts forward new demands to postgraduate education. The processes of integration and modernization increase the importance of learning a foreign language for a future scientist. The article deals…

Learning morphological phenomena of modern Greek an exploratory approach

Directory of Open Access Journals (Sweden)

Y. Kotsanis

1996-12-01

Full Text Available Educational technology is influenced by and closely related to the fields of generative epistemology, Artificial Intelligence, and the learning sciences. Relevant research literature refers to the term constructionism (Papert, 1993 and exploratory learning (diSessa et al, 1995. Constructionism and exploratory learning are a synthesis of the constructivist theory of Piaget and the opportunities offered by technology to education on thinking concretely, on learning while constructing intelligible entities, and on interacting with multimedia objects, rather than the direct acquisition of knowledge and facts. These views are based on the approach that learners can take substantial control of their own learning in an appropriately designed physical and cultural environment (Harel, 1991. In parallel, most of the studies of the Vygotskian framework focus on the role of language in the learning procedure, considering conceptual thought to be impossible outside an articulated verbal thinking. Moreover, the specific use of words is considered to be the most relevant cause for childhood and adolescent differentiation (Vygotsky, 1962.

Challenging Modernism: Fernando Pessoa and the Book of Disquiet

NARCIS (Netherlands)

Stoker, M.

2013-01-01

In this thesis I studied the Book of Disquiet by Portuguese author Fernando Pessoa (1888-1935) in order to determine to what extent the work could be linked to European literary modernism. In the first part of the thesis I focused on text-genetical issues to determine which manuscripts from Pessoa’s

Modernization of Unit 2 at Oskarshamn NPP- Main Objectives, Experience from Design, Separation of Operational and Nuclear Safety Equipment - Lessons Learned

International Nuclear Information System (INIS)

Kanaan, Salah K.

2015-01-01

This paper aims to give a picture of Oskarshamn Nuclear Power Plant (OKG) experience from design for one of the biggest modernization project in the world and focuses on what was learned that is specific to robustness of electrical power systems, especially through Fukushima Station Blackout (SBO). The planning for unit 2 at OKG was initiated in 1967 and the plant was completed on time and was synchronized to the grid October 2, 1974 and is of type BWR. Unit 2 was originally on 580 MW. In 1982 a thermal power up-rate was performed, from 1700 MWh to 1800 MWh (106% reactor output). A decision was made to perform a modernization and a new power up-rate to 850 MW and there were several reasons for this decision; New safety regulations from Swedish Radiation Safety Authority (SSM), Ageing of important components and the initial focus was on safety and availability - Project Plant Life Extension (Plex) was established and became the largest nuclear power modernization in the world. The modernization will lead to: - New safety concept with 4 divisions instead for existing 2 with 2 new buildings South Electrical Building (SEB) and North Electrical Building (NEB); - Completely new software - based equipments for monitoring, control and I and C; - New Low Pressure Turbine, new generator and main transformer; - New MCR and simulator; - Compliance with modern reactor safety requirements; - Redundancy, Separation, Diversification, Earthquake; - Reinforcement of existing safety functions; - New Electricity - I and C (electric power incl. reinforced emergency power and control systems); - New buildings for Electricity - I and C; - Reinforcement of existing process systems as well as installation of new ones. Based on studies and good experiences on how to separate the operational and the safety equipment, the project led to a completely new safety concept. The safety concept is based on fully understanding the safety system that shall encompass all of the elements required to

An E-Learning Module to Improve Nongenetic Health Professionals' Assessment of Colorectal Cancer Genetic Risk: Feasibility Study.

Science.gov (United States)

Douma, Kirsten Freya Lea; Aalfs, Cora M; Dekker, Evelien; Tanis, Pieter J; Smets, Ellen M

2017-12-18

Nongenetic health providers may lack the relevant knowledge, experience, and communication skills to adequately detect familial colorectal cancer (CRC), despite a positive attitude toward the assessment of history of cancer in a family. Specific training may enable them to more optimally refer patients to genetic counseling. The aim of this study was to develop an e-learning module for gastroenterologists and surgeons (in training) aimed at improving attitudes, knowledge, and comprehension of communication skills, and to assess the feasibility of the e-learning module for continued medical education of these specialists. A focus group helped to inform the development of a training framework. The e-learning module was then developed, followed by a feasibility test among a group of surgeons-in-training (3rd- and 4th-year residents) and then among gastroenterologists, using pre- and posttest questionnaires. A total of 124 surgeons-in-training and 14 gastroenterologists participated. The e-learning was positively received (7.5 on a scale of 1 to 10). Between pre- and posttest, attitude increased significantly on 6 out of the 10 items. Mean test score showed that knowledge and comprehension of communication skills improved significantly from 49% to 72% correct at pretest to 67% to 87% correct at posttest. This study shows the feasibility of a problem-based e-learning module to help surgeons-in-training and gastroenterologists in recognizing a hereditary predisposition in patients with CRC. The e-learning led to improvements in attitude toward the assessment of cancer family history, knowledge on criteria for referral to genetic counseling for CRC, and comprehension of communication skills. ©Kirsten Freya Lea Douma, Cora M Aalfs, Evelien Dekker, Pieter J Tanis, Ellen M Smets. Originally published in JMIR Medical Education (http://mededu.jmir.org), 18.12.2017.

A Study of the Effects of Digital Learning on Learning Motivation and Learning Outcome

Science.gov (United States)

Lin, Ming-Hung; Chen, Huang-Cheng; Liu, Kuang-Sheng

2017-01-01

In the modern society when intelligent mobile devices become popular, the Internet breaks through the restrictions on time and space and becomes a ubiquitous learning tool. Designing teaching activity for digital learning and flexibly applying technology tools are the key issues for current information technology integrated education. In this…

Defectological practise from the perspective of next generation genetics

Directory of Open Access Journals (Sweden)

Mihajlović Nevenka K.

2015-01-01

Full Text Available Defectologists not only discover and study people with certain mental and physical disabilities they also help these people by giving them the opportunity to lead a normal life. From the aspect of modern human and molecular genetics the job of a defectologist should be associated with people who some form of a genetic defect, also known as a 'genetic error'-mutation. This is the reason why a defectologist (in order to be a successful one has to know what is nature and type of the mutation that patient has, in other words he must find out the genetic diagnosis of the patient. However, the practice in our the conditions such as ours is a little different, most of the times the diagnosis is incomplete and does not give information about the true cause of the problem, this means that it gives only information about the symptoms but not about the true origin of the problem. Due to this fact the main focus of a defectologist is to properly diagnose the problem from a genetic perspective. A proper genetic diagnosis involves finding out what genetic mutation lays at the heart of the disease(also the molecular mechanisms of the diseases should be known. This approach has two benefits: (A successful treatment and rehabilitation of the patient and (B figuring out the future perspective of the patient. The genetic diagnosis is discovered by a multidiscipline team of experts: genetic counselors, defectologists, doctors and psychologist. The first step in finding out the genetic diagnosis is evaluating the patient and his/her family, later on we can use a genetic once have an idea that the nature of patients condition is indeed genetic. This is why the education of defectologist is needed in order to for them to know about the genetic factors that influence the appearance and the development of the patient's condition. This form of education should allow defectologist to get a better understanding of the potential of modern genetic techniques in precisely

"Sickle cell anemia: tracking down a mutation": an interactive learning laboratory that communicates basic principles of genetics and cellular biology.

Science.gov (United States)

Jarrett, Kevin; Williams, Mary; Horn, Spencer; Radford, David; Wyss, J Michael

2016-03-01

"Sickle cell anemia: tracking down a mutation" is a full-day, inquiry-based, biology experience for high school students enrolled in genetics or advanced biology courses. In the experience, students use restriction endonuclease digestion, cellulose acetate gel electrophoresis, and microscopy to discover which of three putative patients have the sickle cell genotype/phenotype using DNA and blood samples from wild-type and transgenic mice that carry a sickle cell mutation. The inquiry-based, problem-solving approach facilitates the students' understanding of the basic concepts of genetics and cellular and molecular biology and provides experience with contemporary tools of biotechnology. It also leads to students' appreciation of the causes and consequences of this genetic disease, which is relatively common in individuals of African descent, and increases their understanding of the first principles of genetics. This protocol provides optimal learning when led by well-trained facilitators (including the classroom teacher) and carried out in small groups (6:1 student-to-teacher ratio). This high-quality experience can be offered to a large number of students at a relatively low cost, and it is especially effective in collaboration with a local science museum and/or university. Over the past 15 yr, >12,000 students have completed this inquiry-based learning experience and demonstrated a consistent, substantial increase in their understanding of the disease and genetics in general. Copyright © 2016 The American Physiological Society.

Dynamic pricing and automated resource allocation for complex information services reinforcement learning and combinatorial auctions

CERN Document Server

Schwind, Michael; Fandel, G

2007-01-01

Many firms provide their customers with online information products which require limited resources such as server capacity. This book develops allocation mechanisms that aim to ensure an efficient resource allocation in modern IT-services. Recent methods of artificial intelligence, such as neural networks and reinforcement learning, and nature-oriented optimization methods, such as genetic algorithms and simulated annealing, are advanced and applied to allocation processes in distributed IT-infrastructures, e.g. grid systems. The author presents two methods, both of which using the users??? w

Modernization of I and C: A stepwise learning process with a final vision

International Nuclear Information System (INIS)

Gemst, P. van

1998-01-01

In spite of some political signals it is expected that the life time of nuclear power plants in the Nordic countries will be as designed for. As the economical life time of the I and C equipment is less than the corresponding life time of the plant a strategy for modernization of it must be developed. To modernize equipment during ongoing operation of the plant is not only a technical challenge but also a challenge to human relations. I will give a unique chance for the old generation, who built the plants, and the young generation, who have to modernize the plants, to discuss common problems and new ideas. The purpose of this paper is to summarize some important aspects which can be included in the content of the planned IAEA book. Furthermore some examples of modernization project in Sweden are given. (author)

Journal of Genetics | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Genetics. AMITABH JOSHI. Articles written in Journal of Genetics. Volume 79 Issue 1 April 2000 pp 21-23 Book Review. Darwin's Spectre: Evolutionary Biology in the Modern World, by Michael R. Rose · Amitabh Joshi · More Details Fulltext PDF. Volume 80 Issue 1 April 2001 pp 1-7. Evolution of ...

Instrumentation and control balancing the risks and benefits of modernization

International Nuclear Information System (INIS)

Doshi, P.K.; Rawlins, D.H.; Falascino, J.A.

1996-01-01

This paper examines the benefits and risks of modernization of instrumentation and control (I and C) systems for nuclear power plants. It will draw conclusions on how to proceed with such modernization across the spectrum from operating reactors to new plant designs. Lessons learned from Westinghouse's application of digital systems to the Temelin Nuclear Power Plant in the Czech Republic, and other nuclear plant upgrades will be used to support principles and conclusions drawn in the paper. A long term view of the modernization program is essential, even if piecemeal or individual upgrades are envisioned. A framework for considering these risks and goals into a long range strategic plan will be presented. The framework will be presented in the form of I and C architectures which permit long term growth, planning ahead for technological obsolescence, selectron of suppliers for term relationships, and effective integration of individual upgrades. Potential upgrade areas will be summarized for functional improvements, I and C hardware upgrades, and man-machine interface improvements. Examples from Westinghouse's I and C experience will be presented to clarify the principles and framework described in the paper. Lessons learned from the application of the Eagle product line to operating reactors and the emergence of distributed computer information systems as an integration vehicle for I and C upgrades will be discussed. Westinghouse is currently modernizing the Temelin Nuclear Power Plant I and C system in the Czech Republic. An overview of this program will be included as it relates to the modernization framework presented in the paper. (authors)

Unraveling the genetic history of the European wild goats

Science.gov (United States)

Ureña, I.; Ersmark, E.; Samaniego, J. A.; Galindo-Pellicena, M. A.; Crégut-Bonnoure, E.; Bolívar, H.; Gómez-Olivencia, A.; Rios-Garaizar, J.; Garate, D.; Dalén, L.; Arsuaga, J. L.; Valdiosera, C. E.

2018-04-01

The population history of the Iberian wild goat and the Alpine ibex has been closely related to that of humans since the Palaeolithic. Current molecular and paleontological studies differ substantially on the phylogenetic origin of the European wild goats, possibly due the loss of genetic variation through time. We investigated the phylogenetic relationship between the Alpine ibex (Capra ibex) and the Iberian wild goat (Capra pyrenaica) including different Iberian wild goat subspecies by applying ancient DNA techniques combined with Next Generation Sequencing technologies. We analysed the cytochrome b gene of the mitochondrial genome in 33 ancient and modern European wild goats from Spain and France together with publicly available genetic information of modern wild goats. This work uncovers for the first time ancient genetic information of the Iberian wild goat and the Alpine ibex, spanning a time range of approximately 40,000 years to the present. Our results suggest genetic continuity between ancient and modern populations and indicate a monophyletic origin of the Alpine ibex and the Iberian wild goat when compared to other Capra species. The monophyly of both species is in agreement with other molecular studies based only on modern populations, therefore supporting one-wave migration of wild goats into Western Europe followed by possible allopatric speciation. We observe three major clades of wild goats in Western Europe: Capra ibex, Capra pyrenaica pyrenaica and the group containing the subspecies Capra pyrenaica hispanica and Capra pyrenaica victoriae. This genetic structure recognizes the distinctiveness of the bucardo (C. p. pyrenaica) from the rest of Iberian wild goats and thus supports the idea that this group is an Evolutionary Significant Unit. The divergence time estimated here indicates an almost contemporaneous split between the three clades around 50,000-90,000 years BP.

Dyslexia and the learning of a foreign language in school: where are we going?

Science.gov (United States)

Crombie, M A

2000-01-01

The difficulties which many dyslexic students encounter in the learning of the English language often extend to the learning of a foreign language in school. Although this problem has been acknowledged for some time, and although the learning of a modern foreign language is a core element in the Scottish curriculum, there has been little research into how modern languages can be presented to offer the best learning opportunities to dyslexic students. Dyslexic students are likely to benefit from a multisensory approach to the learning of a modern foreign language, and it seems likely that they will need to utilize similar strategies to those used for learning their first language. Strategies are discussed with a view to making modern language learning more appropriate for students with difficulties in learning.

E-Learning versus Blended Learning in Accounting Courses

Science.gov (United States)

Megeid, Nevine Sobhy Abdel

2014-01-01

E-learning provides opportunities for developing countries like Egypt that expect a promising future in its educational process from the use of modern information and communication technologies. The aim of this research is to investigate and identify factors that influence the use of e-learning in accounting education and to assess students'…

Multiple modernities, modern subjectivities and social order

DEFF Research Database (Denmark)

Jung, Dietrich; Sinclair, Kirstine

2015-01-01

to modern subjectivity formation. In combining conceptual tools from these strands of social theory, we argue that the emergence of multiple modernities should be understood as a historical result of idiosyncratic social constructions combining global social imaginaries with religious and other cultural......Taking its point of departure in the conceptual debate about modernities in the plural, this article presents a heuristic framework based on an interpretative approach to modernity. The article draws on theories of multiple modernities, successive modernities and poststructuralist approaches...... traditions. In the second part of the article we illustrate this argument with three short excursions into the history of Islamic reform in the 19th and 20th centuries. In this way we interpret the modern history of Muslim societies as based on cultural conflicts between different forms of social order...

Learning, memory and exploratory similarities in genetically identical cloned dogs.

Science.gov (United States)

Shin, Chi Won; Kim, Geon A; Park, Won Jun; Park, Kwan Yong; Jeon, Jeong Min; Oh, Hyun Ju; Kim, Min Jung; Lee, Byeong Chun

2016-12-30

Somatic cell nuclear transfer allows generation of genetically identical animals using donor cells derived from animals with particular traits. To date, few studies have investigated whether or not these cloned dogs will show identical behavior patterns. To address this question, learning, memory and exploratory patterns were examined using six cloned dogs with identical nuclear genomes. The variance of total incorrect choice number in the Y-maze test among cloned dogs was significantly lower than that of the control dogs. There was also a significant decrease in variance in the level of exploratory activity in the open fields test compared to age-matched control dogs. These results indicate that cloned dogs show similar cognitive and exploratory patterns, suggesting that these behavioral phenotypes are related to the genotypes of the individuals.

Modernity: Are Modern Times Different?

Directory of Open Access Journals (Sweden)

Lynn Hunt

2014-12-01

Full Text Available “Modernity” has recently been the subject of considerable discussion among historians. This article reviews some of the debates and argues that modernity is a problematic concept because it implies a complete rupture with “traditional” ways of life. Studies of key terms are undertaken with the aid of Google Ngrams. These show that “modernity,” “modern times,” and “traditional” —in English and other languages— have a history of their own. A brief analysis of the shift from a self oriented toward equilibrium to a self oriented toward stimulation demonstrates that modernity is not necessary to historical analysis.

Social learning of vocal structure in a nonhuman primate?

Directory of Open Access Journals (Sweden)

Lemasson Alban

2011-12-01

Full Text Available Abstract Background Non-human primate communication is thought to be fundamentally different from human speech, mainly due to vast differences in vocal control. The lack of these abilities in non-human primates is especially striking if compared to some marine mammals and bird species, which has generated somewhat of an evolutionary conundrum. What are the biological roots and underlying evolutionary pressures of the human ability to voluntarily control sound production and learn the vocal utterances of others? One hypothesis is that this capacity has evolved gradually in humans from an ancestral stage that resembled the vocal behavior of modern primates. Support for this has come from studies that have documented limited vocal flexibility and convergence in different primate species, typically in calls used during social interactions. The mechanisms underlying these patterns, however, are currently unknown. Specifically, it has been difficult to rule out explanations based on genetic relatedness, suggesting that such vocal flexibility may not be the result of social learning. Results To address this point, we compared the degree of acoustic similarity of contact calls in free-ranging Campbell's monkeys as a function of their social bonds and genetic relatedness. We calculated three different indices to compare the similarities between the calls' frequency contours, the duration of grooming interactions and the microsatellite-based genetic relatedness between partners. We found a significantly positive relation between bond strength and acoustic similarity that was independent of genetic relatedness. Conclusion Genetic factors determine the general species-specific call repertoire of a primate species, while social factors can influence the fine structure of some the call types. The finding is in line with the more general hypothesis that human speech has evolved gradually from earlier primate-like vocal communication.

Circles of Learning: Applying Socratic Pedagogy to Learn Modern Leadership

Science.gov (United States)

Friesen, Katherine L.; Stephens, Clinton M.

2016-01-01

In response to the National Leadership Education Agenda, this application brief furthers priority one, addressing the teaching, learning, and curriculum development of leadership education. The ability of students to demonstrate leadership outcome mastery in areas of communication, self-awareness, interpersonal interactions, and civic…

Beam-column joint shear prediction using hybridized deep learning neural network with genetic algorithm

Science.gov (United States)

Mundher Yaseen, Zaher; Abdulmohsin Afan, Haitham; Tran, Minh-Tung

2018-04-01

Scientifically evidenced that beam-column joints are a critical point in the reinforced concrete (RC) structure under the fluctuation loads effects. In this novel hybrid data-intelligence model developed to predict the joint shear behavior of exterior beam-column structure frame. The hybrid data-intelligence model is called genetic algorithm integrated with deep learning neural network model (GA-DLNN). The genetic algorithm is used as prior modelling phase for the input approximation whereas the DLNN predictive model is used for the prediction phase. To demonstrate this structural problem, experimental data is collected from the literature that defined the dimensional and specimens’ properties. The attained findings evidenced the efficitveness of the hybrid GA-DLNN in modelling beam-column joint shear problem. In addition, the accurate prediction achived with less input variables owing to the feasibility of the evolutionary phase.

Recording customs in early modern Antwerp, a commercial metropolis

NARCIS (Netherlands)

van Hofstraeten, Bram

2016-01-01

This article questions whether early modern compilations of customary law retained their customary nature after being recorded in the Low Countries by learned jurists and within the framework of a procedure designed and controlled by a central authority. By means of a quantitative analysis of the

Role of the Information Professional in the Development and Promotion of Digital Humanities Content for Research, Teaching, and Learning in the Modern Academic Library: An Irish Case Study

Science.gov (United States)

Burns, Jane A.

2016-01-01

The Internet has been the catalyst for the convergence of many subject areas and online platforms. Information professionals such as Archivists, IT developers and especially Librarians have been impacted in the development and promotion of digital humanities content for research, teaching, and learning in the modern academic library. In this case…

Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

OpenAIRE

Nilsson, Mikael; ?stergren, Jan; Fors, Uno; Rickenlund, Anette; Jorfeldt, Lennart; Caidahl, Kenneth; Bolinder, Gunilla

2012-01-01

Abstract Background The compressed curriculum in modern knowledge-intensive medicine demands useful tools to achieve approved learning aims in a limited space of time. Web-based learning can be used in different ways to enhance learning. Little is however known regarding its optimal utilisation. Our aim was to investigate if the individual learning styles of medical students influence the choice to use a web-based ECG learning programme in a blended learning setting. Methods The programme, wi...

Genomic and cranial phenotype data support multiple modern human dispersals from Africa and a southern route into Asia.

Science.gov (United States)

Reyes-Centeno, Hugo; Ghirotto, Silvia; Détroit, Florent; Grimaud-Hervé, Dominique; Barbujani, Guido; Harvati, Katerina

2014-05-20

Despite broad consensus on Africa as the main place of origin for anatomically modern humans, their dispersal pattern out of the continent continues to be intensely debated. In extant human populations, the observation of decreasing genetic and phenotypic diversity at increasing distances from sub-Saharan Africa has been interpreted as evidence for a single dispersal, accompanied by a series of founder effects. In such a scenario, modern human genetic and phenotypic variation was primarily generated through successive population bottlenecks and drift during a rapid worldwide expansion out of Africa in the Late Pleistocene. However, recent genetic studies, as well as accumulating archaeological and paleoanthropological evidence, challenge this parsimonious model. They suggest instead a "southern route" dispersal into Asia as early as the late Middle Pleistocene, followed by a separate dispersal into northern Eurasia. Here we test these competing out-of-Africa scenarios by modeling hypothetical geographical migration routes and assessing their correlation with neutral population differentiation, as measured by genetic polymorphisms and cranial shape variables of modern human populations from Africa and Asia. We show that both lines of evidence support a multiple-dispersals model in which Australo-Melanesian populations are relatively isolated descendants of an early dispersal, whereas other Asian populations are descended from, or highly admixed with, members of a subsequent migration event.

Development of website for studying modern physics

Science.gov (United States)

Saehana, S.; Wahyono, U.; Darmadi, I. W.; Kendek, Y.; Widyawati, W.

2018-03-01

The purpose of this study is to produce a website in modern physics courses in order to increase student interest in physics learning. To determine the feasibility level of learning media then feasibility test to the product. The feasibility test carried out on the product is divided into three parts: material feasibility test, media feasibility test, and student response test. Based on the results of the test conducted the material obtained an average score of 3.72 and categorized very well. The result of media test that was obtained got the average score of 3.25 and categorized well. The result of the analysis of student's response to the twenty students of class A (fifth semester) of physics education program FKIP UniversitasTadulako obtained an average score of 3.16 with the good category. The results showed that the website developed can be used as one of the learning media that can support the learning process of students.

The earliest modern humans outside Africa.

Science.gov (United States)

Hershkovitz, Israel; Weber, Gerhard W; Quam, Rolf; Duval, Mathieu; Grün, Rainer; Kinsley, Leslie; Ayalon, Avner; Bar-Matthews, Miryam; Valladas, Helene; Mercier, Norbert; Arsuaga, Juan Luis; Martinón-Torres, María; Bermúdez de Castro, José María; Fornai, Cinzia; Martín-Francés, Laura; Sarig, Rachel; May, Hila; Krenn, Viktoria A; Slon, Viviane; Rodríguez, Laura; García, Rebeca; Lorenzo, Carlos; Carretero, Jose Miguel; Frumkin, Amos; Shahack-Gross, Ruth; Bar-Yosef Mayer, Daniella E; Cui, Yaming; Wu, Xinzhi; Peled, Natan; Groman-Yaroslavski, Iris; Weissbrod, Lior; Yeshurun, Reuven; Tsatskin, Alexander; Zaidner, Yossi; Weinstein-Evron, Mina

2018-01-26

To date, the earliest modern human fossils found outside of Africa are dated to around 90,000 to 120,000 years ago at the Levantine sites of Skhul and Qafzeh. A maxilla and associated dentition recently discovered at Misliya Cave, Israel, was dated to 177,000 to 194,000 years ago, suggesting that members of the Homo sapiens clade left Africa earlier than previously thought. This finding changes our view on modern human dispersal and is consistent with recent genetic studies, which have posited the possibility of an earlier dispersal of Homo sapiens around 220,000 years ago. The Misliya maxilla is associated with full-fledged Levallois technology in the Levant, suggesting that the emergence of this technology is linked to the appearance of Homo sapiens in the region, as has been documented in Africa. Copyright © 2018, The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Study of human genetic diversity : inferences on population origin and history

OpenAIRE

Haber, Marc, 1980-

2013-01-01

Patterns of human genetic diversity suggest that all modern humans originated from a small population in Africa that expanded rapidly 50,000 years ago to occupy the whole world. While moving into new environments, genetic drift and natural selection affected populations differently, creating genetic structure. By understanding the genetic structure of human populations, we can reconstruct human history and understand the genetic basis of diseases. The work presented here contributes to the on...

Use of molecular genetics and historical records to reconstruct the ...

African Journals Online (AJOL)

Recent advances in molecular genetics made the inference of past demographic events through the analysis of gene pools from modern populations possible. The technology uses genetic markers to provide previously unavailable resolution into questions of human evolution, migration and the historical relationship of ...

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.

Science.gov (United States)

Yan, Jingwen; Du, Lei; Kim, Sungeun; Risacher, Shannon L; Huang, Heng; Moore, Jason H; Saykin, Andrew J; Shen, Li

2014-09-01

Imaging genetics is an emerging field that studies the influence of genetic variation on brain structure and function. The major task is to examine the association between genetic markers such as single-nucleotide polymorphisms (SNPs) and quantitative traits (QTs) extracted from neuroimaging data. The complexity of these datasets has presented critical bioinformatics challenges that require new enabling tools. Sparse canonical correlation analysis (SCCA) is a bi-multivariate technique used in imaging genetics to identify complex multi-SNP-multi-QT associations. However, most of the existing SCCA algorithms are designed using the soft thresholding method, which assumes that the input features are independent from one another. This assumption clearly does not hold for the imaging genetic data. In this article, we propose a new knowledge-guided SCCA algorithm (KG-SCCA) to overcome this limitation as well as improve learning results by incorporating valuable prior knowledge. The proposed KG-SCCA method is able to model two types of prior knowledge: one as a group structure (e.g. linkage disequilibrium blocks among SNPs) and the other as a network structure (e.g. gene co-expression network among brain regions). The new model incorporates these prior structures by introducing new regularization terms to encourage weight similarity between grouped or connected features. A new algorithm is designed to solve the KG-SCCA model without imposing the independence constraint on the input features. We demonstrate the effectiveness of our algorithm with both synthetic and real data. For real data, using an Alzheimer's disease (AD) cohort, we examine the imaging genetic associations between all SNPs in the APOE gene (i.e. top AD gene) and amyloid deposition measures among cortical regions (i.e. a major AD hallmark). In comparison with a widely used SCCA implementation, our KG-SCCA algorithm produces not only improved cross-validation performances but also biologically meaningful

Large-scale assessment of olfactory preferences and learning in Drosophila melanogaster: behavioral and genetic components

Directory of Open Access Journals (Sweden)

Elisabetta Versace

2015-09-01

Full Text Available In the Evolve and Resequence method (E&R, experimental evolution and genomics are combined to investigate evolutionary dynamics and the genotype-phenotype link. As other genomic approaches, this methods requires many replicates with large population sizes, which imposes severe restrictions on the analysis of behavioral phenotypes. Aiming to use E&R for investigating the evolution of behavior in Drosophila, we have developed a simple and effective method to assess spontaneous olfactory preferences and learning in large samples of fruit flies using a T-maze. We tested this procedure on (a a large wild-caught population and (b 11 isofemale lines of Drosophila melanogaster. Compared to previous methods, this procedure reduces the environmental noise and allows for the analysis of large population samples. Consistent with previous results, we show that flies have a preference for orange vs. apple odor. With our procedure wild-derived flies exhibit olfactory learning in the absence of previous laboratory selection. Furthermore, we find genetic differences in the olfactory learning with relatively high heritability. We propose this large-scale method as an effective tool for E&R and genome-wide association studies on olfactory preferences and learning.

Desktop Genetics

OpenAIRE

Hough, Soren H; Ajetunmobi, Ayokunmi; Brody, Leigh; Humphryes-Kirilov, Neil; Perello, Edward

2016-01-01

Desktop Genetics is a bioinformatics company building a gene-editing platform for personalized medicine. The company works with scientists around the world to design and execute state-of-the-art clustered regularly interspaced short palindromic repeats (CRISPR) experiments. Desktop Genetics feeds the lessons learned about experimental intent, single-guide RNA design and data from international genomics projects into a novel CRISPR artificial intelligence system. We believe that machine learni...

(Early Modern Literature: Crossing the Color-Line

Directory of Open Access Journals (Sweden)

David Sterling Brown

2016-07-01

Full Text Available This article examines the pedagogical implications of teaching about the past in a way that establishes continuity in relation to present and future moments. I describe and analyze how my Trinity College students navigated my course, “Crossing the Color-Line,” which aimed to eradicate boundaries and entangle the professional and personal, social and political, past and present, and black and white in an engaged manner. I argue that a radical course such as “Crossing the Color-Line” can showcase, through literature and other media, how fusing difference of all kinds—cultural, religious, literary, historical, gender—promotes rigorous student directed learning experiences that are inclusive. Because Shakespeare was not the sole authorial voice in the room, or the only early modern author in our syllabus, “Crossing the Color-Line” actively resisted the literary, racial, social, and cultural homogeneity that one can often find in an early modern classroom. By not being Shakespeare-centric, the course placed value on the female perspective and refrained from being androcentric in its authorial focus. Moreover, by positioning “the problem of the color-line” as relevant in the early modern period, the combined study of African-American and early modern English texts challenged critical race studies to include pre-nineteenth-century literature.

Risks and benefits of genetically modified foods

African Journals Online (AJOL)

Jane

2011-09-30

Sep 30, 2011 ... education on the subject to the public. Modern ... published were on the progress of GMF technology followed by attitude studies (such as perceptions ..... Genetically Modified Corn: Environmental Benefits and. Risks.

Moderní trendy ve vybraných kapitolách turistiky

OpenAIRE

POVALAČ, Jaroslav

2008-01-01

The focus of this paper is on the modern trends in tourism. The main aimof tourism was walking in a nature, meeting with other people, learning and amusement. However, from its beginning in the nineteenth century tourism has changed its character a lot. Its development is influenced by history, studies of free-time activities, technical development of equipment and also modern way of life. This paper deals with all of them. Nevertheless, the most important is needed and useful equipment becau...

BLENDED LEARNING AS AN INNOVATIVE FORM OF TEACHING AND LEARNING AT SCHOOL

Directory of Open Access Journals (Sweden)

Olga Kuzmenko

2017-09-01

Full Text Available In the paper the theoretical background of blended learning is examined, traditional brick-and-mortar and blended learning are compared, the advantages of blended learning are outlined and it effectiveness in foreign language teaching is proven. The topicality of this research is determined by the prospect of implementing the blended learning models to achieve the goals set by the National Strategy for the Development of Education in Ukraine for 2012-2021, namely: improving the quality of education on an innovative basis, creating and providing opportunities for implementing various learning models, forms and means of getting education. In this context, a modern educational institution is required to set up a combination of traditional and innovative forms of learning, and constantly update its information and communication resources, which cause the need to introduce the blended learning approach. Blended learning is a relatively new approach in the field of education in Ukraine. The great prospect of blended learning consists in its potential to combine the best of traditional and online practices. This is a formal education program in which pupils learn partially through online learning with some element of self-control over time, place and pace; and partially in a traditional classroom setting. It provides more efficiency and flexibility in comparison with traditional learning as well as online or distance learning. Moreover, blended learning implies a mastery-based approach ensuring that pupils achieve the required level of mastery at the end of the course. It also prepares learners to collaborate in an online environment and meet the demands of the modern labour market. This is particularly important for schools, because modern pupils are tech-savvy and their motivation is determined by the need for autonomy, personalization, communicatively-oriented and mastery-based learning. For the teaching staff, blended learning can improve teaching

Distance learning training in genetics and genomics testing for Italian health professionals: results of a pre and post-test evaluation

Directory of Open Access Journals (Sweden)

Maria Benedetta Michelazzo

2015-09-01

Full Text Available BackgroundProgressive advances in technologies for DNA sequencing and decreasing costs are allowing an easier diffusion of genetic and genomic tests. Physicians’ knowledge and confidence on the topic is often low and not suitable for manage this challenge. Tailored educational programs are required to reach a more and more appropriate use of genetic technologies.MethodsA distance learning course has been created by experts from different Italian medical associations with the support of the Italian Ministry of Health. The course was directed to professional figures involved in prescription and interpretation of genetic tests. A pretest-post-test study design was used to assess knowledge improvement. We analyzed the proportion of correct answers for each question pre and post-test, as well as the mean score difference stratified by gender, age, professional status and medical specialty.ResultsWe reported an improvement in the proportion of correct answers for 12 over 15 questions of the test. The overall mean score to the questions significantly increased in the post-test, from 9.44 to 12.49 (p-value < 0.0001. In the stratified analysis we reported an improvement in the knowledge of all the groups except for geneticists; the pre-course mean score of this group was already very high and did not improve significantly.ConclusionDistance learning is effective in improving the level of genetic knowledge. In the future, it will be useful to analyze which specialists have more advantage from genetic education, in order to plan more tailored education for medical professionals.

EUROPEAN PROJECTS AS A TOOL FOR IMPROVING FARMERS SKILLS VIA MODERN INFORMATION TECHNOLOGIES

Directory of Open Access Journals (Sweden)

Zuzana PALKOVA

2013-01-01

Full Text Available This article presents European projects with the main focus on the improving the skills and competitiveness of farmers by modern information and communication technologies and e-learning methods. Two projects – AVARES - Enhance attractiveness of renewable energy training by virtual reality and NewCAP - New European Standards in the Context of Reformed EU Common Agricultural Policy are projects under the Leonardo da Vinci Transfer ofInnovation grant scheme. They try to present new way of vocational education and training in the agrosector. The main aim of the AVARES project is to develop the multimedia learning materials for vocational education and training in the field of agricultural and rural development and application of modern information and communication technologies into vocational education and training. The emphasis is put on the application of modern ICT equipment and technologies, with the main focus on the Virtual reality, 3D visual display and e - learning 2.0 methods. New programming period 2014 – 2020 will bring significant changes within the Common Agricultural Policy (CAP which will have a serious impact on economy especially of larger beneficiaries. The „NewCAP“ project aiming at preparation of actors in rural areas to take the proposed changes in the policy through interactive educational programme.

Archives and the Boundaries of Early Modern Science.

Science.gov (United States)

Popper, Nicholas

2016-03-01

This contribution argues that the study of early modern archives suggests a new agenda for historians of early modern science. While in recent years historians of science have begun to direct increased attention toward the collections amassed by figures and institutions traditionally portrayed as proto-scientific, archives proliferated across early modern Europe, emerging as powerful tools for creating knowledge in politics, history, and law as well as natural philosophy, botany, and more. The essay investigates the methods of production, collection, organization, and manipulation used by English statesmen and Crown officers such as Keeper of the State Papers Thomas Wilson and Secretary of State Joseph Williamson to govern their disorderly collections. Their methods, it is shown, were shared with contemporaries seeking to generate and manage other troves of evidence and in fact reflect a complex ecosystem of imitation and exchange across fields of inquiry. These commonalities suggest that historians of science should look beyond the ancestors of modern scientific disciplines to examine how practices of producing knowledge emerged and migrated throughout cultures of learning in Europe and beyond. Creating such a map of knowledge production and exchange, the essay concludes, would provide a renewed and expansive ambition for the field.

The Need to Change Education towards Open Learning

NARCIS (Netherlands)

Stracke, Christian M.

2015-01-01

The need to change education is discussed and Open Learning Concept is presented and adapted for improving school education. Open Learning aims at the balance between learning innovation and quality for modernizing learning, education and training. Learning innovation and learning quality are very

[Modern methods of diagnosis dyslipidemia ].

Science.gov (United States)

Sukhorukov, V N; Karagodin, V P; Orekhov, A N

2016-01-01

Dyslipidemia is abnormalities of lipid and lipoprotein metabolism. Most dyslipidemias are hyperlipidemias; that is an abnormally high level of lipids and/or lipoproteins in the blood. Lipid and lipoprotein abnormalities are common in the general population, and are regarded as a modifiable risk factor for cardiovascular disease due to their influence on atherosclerosis. Primary dyslipidemia is usually due to genetic causes, while secondary dyslipidemia arises due to other underlying causes such as diabetes mellitus. Thus, dyslipidemia is an important factor in the development of atherosclerosis and cardiovascular diseases therefore, it is important to diagnose it in time. This review focuses on the modern methods of diagnosis of dyslipidemia.

Genetics Home Reference: Williams syndrome

Science.gov (United States)

... do well on tasks that involve spoken language, music, and learning by repetition (rote memorization). Affected individuals ... Resources (5 links) Disease InfoSearch: Williams syndrome Genetic Science Learning Center, University of Utah MalaCards: williams-beuren ...

Behavior genetics: Bees as model

International Nuclear Information System (INIS)

Nates Parra, Guiomar

2011-01-01

The honeybee Apis mellifera (Apidae) is a model widely used in behavior because of its elaborate social life requiring coordinate actions among the members of the society. Within a colony, division of labor, the performance of tasks by different individuals, follows genetically determined physiological changes that go along with aging. Modern advances in tools of molecular biology and genomics, as well as the sequentiation of A. mellifera genome, have enabled a better understanding of honeybee behavior, in particular social behavior. Numerous studies show that aspects of worker behavior are genetically determined, including defensive, hygienic, reproductive and foraging behavior. For example, genetic diversity is associated with specialization to collect water, nectar and pollen. Also, control of worker reproduction is associated with genetic differences. In this paper, I review the methods and the main results from the study of the genetic and genomic basis of some behaviors in bees.

Recent advances in epilepsy genetics.

Science.gov (United States)

Orsini, Alessandro; Zara, Federico; Striano, Pasquale

2018-02-22

In last few years there has been rapid increase in the knowledge of epilepsy genetics. Nowadays, it is estimated that genetic epilepsies include over than 30% of all epilepsy syndromes. Several genetic tests are now available for diagnostic purposes in clinical practice. In particular, next-generation sequencing has proven to be effective in revealing gene mutations causing epilepsies in up to a third of the patients. This has lead also to functional studies that have given insight into disease pathophysiology and consequently to the identification of potential therapeutic targets opening the way of precision medicine for epilepsy patients. This minireview is focused on the most recent advances in genetics of epilepsies. We will also overview the modern genomic technologies and illustrate the diagnostic pathways in patients with genetic epilepsies. Finally, the potential implications for a personalized treatment (precision medicine) are also discussed. Copyright © 2017 Elsevier B.V. All rights reserved.

Latent spatial models and sampling design for landscape genetics

Science.gov (United States)

Hanks, Ephraim M.; Hooten, Mevin B.; Knick, Steven T.; Oyler-McCance, Sara J.; Fike, Jennifer A.; Cross, Todd B.; Schwartz, Michael K.

2016-01-01

We propose a spatially-explicit approach for modeling genetic variation across space and illustrate how this approach can be used to optimize spatial prediction and sampling design for landscape genetic data. We propose a multinomial data model for categorical microsatellite allele data commonly used in landscape genetic studies, and introduce a latent spatial random effect to allow for spatial correlation between genetic observations. We illustrate how modern dimension reduction approaches to spatial statistics can allow for efficient computation in landscape genetic statistical models covering large spatial domains. We apply our approach to propose a retrospective spatial sampling design for greater sage-grouse (Centrocercus urophasianus) population genetics in the western United States.

ISLAM AND THE FAILURE OF MODERNIZATION IN THE MIDDLE EAST

Directory of Open Access Journals (Sweden)

Ahmad Sahide

2012-12-01

Full Text Available This paper tries to see the encounter between Islam and modernity in the countries where the majority of the inhabitants are Muslims, particularly in the Middle East that is currently in the state of turmoil. In General, modernity failed to adapt to the Islamic states, for example the failure of democracy, which became the current joint attention in some Arab countries where the iron fist regimes are still a part of the political system. Furthermore, this paper attempts to see why modernity is difficult to adapt itself in the Middle East which began to build relations with Europe in the 18th century. Bernard Lewis, an expert who focuses on the Islamic world, argued that the failure of modernity in the Middle East and Islamic countries because of cultural factors and understanding of religion that hampered the pace of modernity. The understanding of religion is still centered on debating the democratic system and gender equality which come from the West; all of which is part of modernity. In addition, the young generations that learn a lot from the West, are not given broader space to apply their knowledge in developing and setting up a system of nationhood and statehood. These are the core issues that will be discussed further in this paper. Keywords: Modernity, Middle East tensions, and Islam

Mapping Students’ Informal Learning Using Personal Learning Environment

Directory of Open Access Journals (Sweden)

Jelena Anđelković Labrović

2014-07-01

Full Text Available Personal learning environments are a widely spared ways of learning, especially for the informal learning process. The aim of this research is to identify the elements of studens’ personal learning environment and to identify the extent to which students use modern technology for learning as part of their non-formal learning. A mapping system was used for gathering data and an analysis of percentages and frequency counts was used for data analysis in the SPSS. The results show that students’ personal learning environment includes the following elements: Wikipedia, Google, YouTube and Facebook in 75% of all cases, and an interesting fact is that all of them belong to a group of Web 2.0 tools and applications.

Coping with the abstract and complex nature of genetics in biology education : The yo-yo learning and teaching strategy

NARCIS (Netherlands)

Knippels, M.C.P.J.

2002-01-01

This thesis describes a research project that was carried out at the Centre for Science and Mathematics Education at Utrecht University between 1998 and 2002. The study addresses problems in learning and teaching genetics in upper secondary biology education. The aim of the study is to develop a

Non-Genetic Engineering Approaches for Isolating and Generating Novel Yeasts for Industrial Applications

Science.gov (United States)

Chambers, P. J.; Bellon, J. R.; Schmidt, S. A.; Varela, C.; Pretorius, I. S.

Generating novel yeast strains for industrial applications should be quite straightforward; after all, research into the genetics, biochemistry and physiology of Baker's Yeast, Saccharomyces cerevisiae, has paved the way for many advances in the modern biological sciences. We probably know more about this humble eukaryote than any other, and it is the most tractable of organisms for manipulation using modern genetic engineering approaches. In many countries, however, there are restrictions on the use of genetically-modified organisms (GMOs), particularly in foods and beverages, and the level of consumer acceptance of GMOs is, at best, variable. Thus, many researchers working with industrial yeasts use genetic engineering techniques primarily as research tools, and strain development continues to rely on non-GM technologies. This chapter explores the non-GM tools and strategies available to such researchers.

Genomic Analyses Reveal the Influence of Geographic Origin, Migration, and Hybridization on Modern Dog Breed Development

Directory of Open Access Journals (Sweden)

Heidi G. Parker

2017-04-01

Full Text Available There are nearly 400 modern domestic dog breeds with a unique histories and genetic profiles. To track the genetic signatures of breed development, we have assembled the most diverse dataset of dog breeds, reflecting their extensive phenotypic variation and heritage. Combining genetic distance, migration, and genome-wide haplotype sharing analyses, we uncover geographic patterns of development and independent origins of common traits. Our analyses reveal the hybrid history of breeds and elucidate the effects of immigration, revealing for the first time a suggestion of New World dog within some modern breeds. Finally, we used cladistics and haplotype sharing to show that some common traits have arisen more than once in the history of the dog. These analyses characterize the complexities of breed development, resolving longstanding questions regarding individual breed origination, the effect of migration on geographically distinct breeds, and, by inference, transfer of trait and disease alleles among dog breeds.

Genetic and Environmental Influences on Achievement Outcomes Based on Family History of Learning Disabilities Status.

Science.gov (United States)

Erbeli, Florina; Hart, Sara A; Taylor, Jeanette

2018-05-01

A risk to develop a learning disability has been shown to run in families. Having a positive family history of learning disability seems to account for mean differences in achievement outcomes (reading, math) in that children with a positive family history score significantly lower compared to their peers with no such family history. However, the role of family history status in explaining etiological (genetic and environmental) differences among these subgroups of children has yet to be established. The present study of 872 twins ( M age = 13.30, SD age = 1.40) from the Florida Twin Project on Reading, Behavior, and Environment utilized a multigroup approach to examine etiological differences on reading, spelling, and math among two subgroups defined by family history status. Results showed significant mean differences on all achievement outcomes, aside from math; however, no significant etiological differences on any achievement outcome were found among the two subgroups. Results support previous literature that the risk for developing a learning disability is transmitted through a family, but this is seemingly not manifested by differential etiology.

Active learning machine learns to create new quantum experiments.

Science.gov (United States)

Melnikov, Alexey A; Poulsen Nautrup, Hendrik; Krenn, Mario; Dunjko, Vedran; Tiersch, Markus; Zeilinger, Anton; Briegel, Hans J

2018-02-06

How useful can machine learning be in a quantum laboratory? Here we raise the question of the potential of intelligent machines in the context of scientific research. A major motivation for the present work is the unknown reachability of various entanglement classes in quantum experiments. We investigate this question by using the projective simulation model, a physics-oriented approach to artificial intelligence. In our approach, the projective simulation system is challenged to design complex photonic quantum experiments that produce high-dimensional entangled multiphoton states, which are of high interest in modern quantum experiments. The artificial intelligence system learns to create a variety of entangled states and improves the efficiency of their realization. In the process, the system autonomously (re)discovers experimental techniques which are only now becoming standard in modern quantum optical experiments-a trait which was not explicitly demanded from the system but emerged through the process of learning. Such features highlight the possibility that machines could have a significantly more creative role in future research.

The genetic basis of pectoralis major myopathies in modern broiler chicken lines

OpenAIRE

Bailey, Richard A.; Watson, Kellie A.; Bilgili, S. F.; Avendano, Santiago

2015-01-01

This is the first report providing estimates of the genetic basis of breast muscle myopathies (BMM) and their relationship with growth and yield in broiler chickens. In addition, this paper addresses the hypothesis that genetic selection for increase breast yield has contributed to the onset of BMM. Data were analyzed from ongoing recording of BMM within the Aviagen breeding program. This study focused on three BMM: deep pectoral myopathy (DPM; binary trait), white striping (WS; 4 categories)...

Design and Research on Platform to Enhance College Students’ Art Appreciation Capability Based on Modern Information Technology

Directory of Open Access Journals (Sweden)

Shen Xifei

2015-01-01

Full Text Available Nowadays, with the rapid development of modern information technology, the college students could not preferably choose and learn to enhance their own art appreciation capability. Therefore, the colleges and universities have a more urgent desire to organize, develop and provide a good platform to enhance the college students’ art appreciation capability based on modern information technology. This paper describes how to enhance the art appreciation capability in detail, and designs and analyzes the platform to enhance college students’ art appreciation capability based on modern information technology---the “Music Corner” and the “Dance Corner”, indicating that the exchange platform built with modern information technology can promotes the college students’ art appreciation capability. Finally, through the analysis of statistical results of the questionnaire, college students are fonder of art appreciation after the establishment of platform, more inclined to the comprehensive learning of art, more brave to express their own sense of art, and fonder of artistic creation.

II. Application of genetically modified breeding by introducing foreign ...

African Journals Online (AJOL)

Production of salinity tolerant Nile tilapia, Oreochromis niloticus through traditional and modern breeding methods: II. Application of genetically modified breeding by introducing foreign DNA into fish gonads.

The Corporeality of Learning: Confucian Education in Early Modern Japan

Science.gov (United States)

Tsujimoto, Masashi

2016-01-01

The intellectual foundation of early modern Japan was provided by Confucianism--a system of knowledge set forth in Chinese classical writings. In order to gain access to this knowledge, the Japanese applied reading markers to modify the original Chinese to fit the peculiarities of Japanese grammar and pronunciation. Confucian education started by…

A Study on the Role of Drama in Learning Mathematics

OpenAIRE

Elahe Masoum; Mohsen Rostamy-Malkhalifeh; Zahra Kalantarnia

2013-01-01

Present educational systems needs modern strategies for teaching and learning. Mathematics education has to change for students in elementary schools. One of the modern strategies, it is drama activities. The drama is as empirical aspect of learning. The student may learn from what they are doing in drama. They are so active instead having a passive shape in drama, in fact, students are learning, finding experiences and new paths from drama as well. The students could find its capabilities, r...

Modern Gravitational Lens Cosmology for Introductory Physics and Astronomy Students

Science.gov (United States)

Huwe, Paul; Field, Scott

2015-01-01

Recent and exciting discoveries in astronomy and cosmology have inspired many high school students to learn about these fields. A particularly fascinating consequence of general relativity at the forefront of modern cosmology research is gravitational lensing, the bending of light rays that pass near massive objects. Gravitational lensing enables…

Facilitating the Progression of Modern Apprentices into Undergraduate Business Education.

Science.gov (United States)

Chadwick, Simon

1999-01-01

A case study of a program to give apprentices access to undergraduate business education at a British university in cooperation with a local chamber of commerce identified these success factors: recognition that modern apprentices are unlike traditional college students and focus on technology, outcome-based learning, personal development, and…

Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials.

Science.gov (United States)

Ma, Wei; Cheng, Feng; Liu, Yongmin

2018-06-11

Deep-learning framework has significantly impelled the development of modern machine learning technology by continuously pushing the limit of traditional recognition and processing of images, speech, and videos. In the meantime, it starts to penetrate other disciplines, such as biology, genetics, materials science, and physics. Here, we report a deep-learning-based model, comprising two bidirectional neural networks assembled by a partial stacking strategy, to automatically design and optimize three-dimensional chiral metamaterials with strong chiroptical responses at predesignated wavelengths. The model can help to discover the intricate, nonintuitive relationship between a metamaterial structure and its optical responses from a number of training examples, which circumvents the time-consuming, case-by-case numerical simulations in conventional metamaterial designs. This approach not only realizes the forward prediction of optical performance much more accurately and efficiently but also enables one to inversely retrieve designs from given requirements. Our results demonstrate that such a data-driven model can be applied as a very powerful tool in studying complicated light-matter interactions and accelerating the on-demand design of nanophotonic devices, systems, and architectures for real world applications.

A screening on Specific Learning Disorders in an Italian speaking high genetic homogeneity area.

Science.gov (United States)

Cappa, Claudia; Giulivi, Sara; Schilirò, Antonino; Bastiani, Luca; Muzio, Carlo; Meloni, Fabrizio

2015-01-01

The aim of the present research is to investigate the prevalence of Specific Learning Disorders (SLD) in Ogliastra, an area of the island of Sardinia, Italy. Having experienced centuries of isolation, Ogliastra has become a high genetic homogeneity area, and is considered particularly interesting for studies on different kinds of pathologies. Here we are going to describe the results of a screening carried out throughout 2 consecutive years in 49 second grade classes (24 considered in the first year and 25 in the second year of the study) of the Ogliastra region. A total of 610 pupils (average age 7.54 years; 293 female, 317 male) corresponding to 68.69% of all pupils who were attending second grade in the area, took part in the study. The tool used for the screening was "RSR-DSA. Questionnaire for the detection of learning difficulties and disorders", which allowed the identification of 83 subjects at risk (13.61% of the whole sample involved in the study). These subjects took part in an enhancement training program of about 6 months. After the program, pupils underwent assessment for reading, writing and calculation abilities, as well as cognitive assessment. According to the results of the assessment, the prevalence of SLDs is 6.06%. For what concerns dyslexia, 4.75% of the total sample manifested this disorder either in isolation or in comorbidity with other disorders. According to the first national epidemiological investigation carried out in Italy, the prevalence of dyslexia is 3.1-3.2%, which is lower than the prevalence obtained in the present study. Given the genetic basis of SLDs, this result, together with the presence of several cases of SLD in isolation (17.14%) and with a 3:1 ratio of males to females diagnosed with a SLD, was to be expected in a sample coming from a high genetic homogeneity area. Copyright © 2015 Elsevier Ltd. All rights reserved.

The genetic history of Ice Age Europe

Czech Academy of Sciences Publication Activity Database

Fu, Q.; Posth, C.; Hajdinjak, M.; Petr, M.; Mallick, S.; Fernandes, D.; Furtwängler, A.; Haak, W.; Meyer, M.; Mittnik, A.; Nickel, B.; Peltzer, A.; Rohland, N.; Slon, V.; Talamo, S.; Lazaridis, I.; Lipson, M.; Mathieson, I.; Schiffels, S.; Skoglund, P.; Derevianko, A. P.; Drozdov, N.; Slavinsky, V.; Tsybankov, A.; Cremonesi, R. G.; Mallegni, F.; Gély, B.; Vacca, E.; Morales, M. R. G.; Straus, L. G.; Neugebauer-Maresch, Ch.; Teschler-Nicola, M.; Constantin, S.; Moldovan, O. T.; Benazzi, S.; Peresani, M.; Coppola, D.; Lari, M.; Ricci, S.; Ronchitelli, A.; Valentin, F.; Thevenet, C.; Wehrberger, K.; Grigorescu, D.; Rougier, H.; Crevecoeur, I.; Flas, D.; Semal, P.; Mannino, M. A.; Cupillard, Ch.; Bocherens, H.; Conard, N. J.; Harvati, K.; Moiseyev, V.; Drucker, D. G.; Svoboda, Jiří; Richards, M. P.; Caramelli, D.; Pinhasi, R.; Kelso, J.; Patterson, N.; Krause, J.; Pääbo, S.; Reich, D.

2016-01-01

Roč. 534, č. 7606 (2016), s. 200-205 ISSN 0028-0836 Institutional support: RVO:68081758 Keywords : genetics * Pleistocene * Europe * modern humans * Neanderthal Subject RIV: AC - Archeology, Anthropology, Ethnology OBOR OECD: Archaeology Impact factor: 40.137, year: 2016

How we learn

DEFF Research Database (Denmark)

Illeris, Knud

How We Learn, deals with the fundamental issues of the processes of learning, critically assessing different types of learning and obstacles to learning. It also considers a broad range of other important questions in relation to learning such as: modern research into learning and brain functions......, self-perception, motivation and competence development, teaching, intelligence and learning style, learning in relation to gender and life age. The book provides a comprehensive introduction to both traditional learning theory and the newest international research into learning processes, while...... at the same time being an innovative contribution to a new and more holistic understanding of learning including discussion on school-based learning, net-based learning, workplace learning and educational politics. How We Learn examines all the key factors that help to create a holistic understanding of what...

How preschool children learn math?

OpenAIRE

Jovanova-Mitkovska, Snezana

2014-01-01

Modern understanding of elementary mathematics is based on modern understandings of psychological, primarily cognitive development of a young child, and also of the modern theories of learning and teaching. In recent years, especially rapid development marked psychological research on the development of cognitive functions and intelligence. However, there is still no set off attitude about what factors are decisive in mental, intellectual development of the individual. Different interpreta...

The multiregional and single origin hypotheses of the evolution of modern man: a reconciliation.

Science.gov (United States)

Treisman, M

1995-03-07

A current debate opposes two theories of the origin of modern man. One view is that modern Homo sapiens emerged from Africa relatively recently, most probably within the last two or three hundred thousand years (Wilson & Cann, 1992, Sci. Am. 266(4), 22-27). The opposing view is that modern man has resulted from parallel evolution in different regions, producing convergent modernization of local populations over the last million years or so--the multiregional model (Frayer et al., 1993, Am. Anthrop. 95, 14-50). Proponents of both views believe that their interpretations are irreconcilable. The object of the present paper is to describe a genetic mechanism--mitochondrial exclusion--which offers a basis for a model of human evolution that is compatible with the evidence adduced for both contemporary views. The model proposes a mechanism by which complete replacement of archaic mitochondrial DNA may have occurred in a population produced by recent admixture of archaic and modern types of man.

A PKI Approach for Deploying Modern Secure Distributed E-Learning and M-Learning Environments

Science.gov (United States)

Kambourakis, Georgios; Kontoni, Denise-Penelope N.; Rouskas, Angelos; Gritzalis, Stefanos

2007-01-01

While public key cryptography is continuously evolving and its installed base is growing significantly, recent research works examine its potential use in e-learning or m-learning environments. Public key infrastructure (PKI) and attribute certificates (ACs) can provide the appropriate framework to effectively support authentication and…

Modernity after Modernity

Directory of Open Access Journals (Sweden)

Marin Dinu

2007-08-01

Full Text Available A strategy for the second modernization raises, beyond objectives, a series of epistemicresponsibilities. It is known that modernization stemming from the Enlightment had, among other things,the pretense that it is a project which is self-legitimating. Its profound rationales are the only justification.Referential self-centering proved to be the one that made possible a practice of the new. Modernizationhaving the function of renouncing myth – meaning an eliminatory formula for the past – and thefixation in the opportunity and potentiality of the present, seemed to close an insoluble but extremelyengrossing problem: that of a propensity towards utopia, of the risky escape towards the future. Thetraditionalization of the new constitutes a support for the daring to break out of the captivity of themoment.Modernization becomes the experience of combining the new which, thus, creates a succession ofpresent times. The future is no longer the result of fantasy, but a system’s direct expression to combine thenew. Therefore the future is an option for one or another model of the present, often tested previouslysomewhere else. In a non-metaphysical way, the future can be seen, touched, tried, lived by simplegeographical movement. The sense of evolution has de-temporalized taking the form of the concomitant,parallel, enclosed, neighboring space. We just have to be in the trend, to evolve in the context.Globalization defines the context and its conception – as a project of the second modernity – showsus the trends. The problem is how to understand the context in order to find the sense of the trend. Are wethe load the sense with the values of the first modernity or will we have to turn to the values of anothermodernity? Why do we have to move away from the significance of the processes which made up the firstmodernity? How do we relate to the content of the new context in which the structural trends of today’sworld are taking place? What is the

Update on Modern Management of Pheochromocytoma and Paraganglioma

Directory of Open Access Journals (Sweden)

Jacques W. M. Lenders

2017-06-01

Full Text Available Despite all technical progress in modern diagnostic methods and treatment modalities of pheochromocytoma/paraganglioma, early consideration of the presence of these tumors remains the pivotal link towards the best possible outcome for patients. A timely diagnosis and proper treatment can prevent the wide variety of potentially catastrophic cardiovascular complications. Modern biochemical testing should include tests that offer the best available diagnostic performance, measurements of metanephrines and 3-methoxytyramine in plasma or urine. To minimize false-positive test results particular attention should be paid to pre-analytical sampling conditions. In addition to anatomical imaging by computed tomography (CT or magnetic resonance imaging, new promising functional imaging modalities of photon emission tomography/CT using with somatostatin analogues such as 68Ga-DOTATATE (68Ga-labeled DOTA(0-Tyr(3-octreotide will probably replace 123I-MIBG (iodine-123-metaiodobenzylguanidine in the near future. As nearly half of all pheochromocytoma patients harbor a mutation in one of the 14 tumor susceptibility genes, genetic testing and counseling should at least be considered in all patients with a proven tumor. Post-surgical annual follow-up of patients by measurements of plasma or urinary metanephrines should last for at least 10 years for timely detection of recurrent or metastatic disease. Patients with a high risk for recurrence or metastatic disease (paraganglioma, young age, multiple or large tumors, genetic background should be followed up lifelong.

The genetic history of Ice Age Europe

Science.gov (United States)

Fu, Qiaomei; Posth, Cosimo; Hajdinjak, Mateja; Petr, Martin; Mallick, Swapan; Fernandes, Daniel; Furtwängler, Anja; Haak, Wolfgang; Meyer, Matthias; Mittnik, Alissa; Nickel, Birgit; Peltzer, Alexander; Rohland, Nadin; Slon, Viviane; Talamo, Sahra; Lazaridis, Iosif; Lipson, Mark; Mathieson, Iain; Schiffels, Stephan; Skoglund, Pontus; Derevianko, Anatoly P.; Drozdov, Nikolai; Slavinsky, Vyacheslav; Tsybankov, Alexander; Cremonesi, Renata Grifoni; Mallegni, Francesco; Gély, Bernard; Vacca, Eligio; González Morales, Manuel R.; Straus, Lawrence G.; Neugebauer-Maresch, Christine; Teschler-Nicola, Maria; Constantin, Silviu; Moldovan, Oana Teodora; Benazzi, Stefano; Peresani, Marco; Coppola, Donato; Lari, Martina; Ricci, Stefano; Ronchitelli, Annamaria; Valentin, Frédérique; Thevenet, Corinne; Wehrberger, Kurt; Grigorescu, Dan; Rougier, Hélène; Crevecoeur, Isabelle; Flas, Damien; Semal, Patrick; Mannino, Marcello A.; Cupillard, Christophe; Bocherens, Hervé; Conard, Nicholas J.; Harvati, Katerina; Moiseyev, Vyacheslav; Drucker, Dorothée G.; Svoboda, Jiří; Richards, Michael P.; Caramelli, David; Pinhasi, Ron; Kelso, Janet; Patterson, Nick; Krause, Johannes; Pääbo, Svante; Reich, David

2016-01-01

Modern humans arrived in Europe ~45,000 years ago, but little is known about their genetic composition before the start of farming ~8,500 years ago. We analyze genome-wide data from 51 Eurasians from ~45,000-7,000 years ago. Over this time, the proportion of Neanderthal DNA decreased from 3–6% to around 2%, consistent with natural selection against Neanderthal variants in modern humans. Whereas the earliest modern humans in Europe did not contribute substantially to present-day Europeans, all individuals between ~37,000 and ~14,000 years ago descended from a single founder population which forms part of the ancestry of present-day Europeans. A ~35,000 year old individual from northwest Europe represents an early branch of this founder population which was then displaced across a broad region, before reappearing in southwest Europe during the Ice Age ~19,000 years ago. During the major warming period after ~14,000 years ago, a new genetic component related to present-day Near Easterners appears in Europe. These results document how population turnover and migration have been recurring themes of European pre-history. PMID:27135931

Coping with genetic diversity: the contribution of pathogen and human genomics to modern vaccinology

International Nuclear Information System (INIS)

Lemaire, D.; Barbosa, T.; Rihet, P.

2011-01-01

Vaccine development faces major difficulties partly because of genetic variation in both infectious organisms and humans. This causes antigenic variation in infectious agents and a high interindividual variability in the human response to the vaccine. The exponential growth of genome sequence information has induced a shift from conventional culture-based to genome-based vaccinology, and allows the tackling of challenges in vaccine development due to pathogen genetic variability. Additionally, recent advances in immunogenetics and genomics should help in the understanding of the influence of genetic factors on the interindividual and interpopulation variations in immune responses to vaccines, and could be useful for developing new vaccine strategies. Accumulating results provide evidence for the existence of a number of genes involved in protective immune responses that are induced either by natural infections or vaccines. Variation in immune responses could be viewed as the result of a perturbation of gene networks; this should help in understanding how a particular polymorphism or a combination thereof could affect protective immune responses. Here we will present: i) the first genome-based vaccines that served as proof of concept, and that provided new critical insights into vaccine development strategies; ii) an overview of genetic predisposition in infectious diseases and genetic control in responses to vaccines; iii) population genetic differences that are a rationale behind group-targeted vaccines; iv) an outlook for genetic control in infectious diseases, with special emphasis on the concept of molecular networks that will provide a structure to the huge amount of genomic data

The genetic basis of pectoralis major myopathies in modern broiler chicken lines.

Science.gov (United States)

Bailey, Richard A; Watson, Kellie A; Bilgili, S F; Avendano, Santiago

2015-12-01

This is the first report providing estimates of the genetic basis of breast muscle myopathies (BMM) and their relationship with growth and yield in broiler chickens. In addition, this paper addresses the hypothesis that genetic selection for increase breast yield has contributed to the onset of BMM. Data were analyzed from ongoing recording of BMM within the Aviagen breeding program. This study focused on three BMM: deep pectoral myopathy (DPM; binary trait), white striping (WS; 4 categories) and wooden breast (WB; 3 categories). Data from two purebred commercial broiler lines (A and B) were utilized providing greater than 40,000 meat quality records per line. The difference in selection history between these two lines has resulted in contrasting breast yield (BY): 29% for Line A and 21% for Line B. Data were analyzed to estimate genetic parameters using a multivariate animal model including six traits: body weight (BW), processing body weight (PW), BY, DPM, WB, and WS, in addition to the appropriate fixed effects and permanent environmental effect of the dam. Results indicate similar patterns of heritability and genetic correlations for the two lines. Heritabilities (h2) of BW, PW and BY ranged from 0.271-0.418; for DPM and WB h2white striping of breast muscle and more than 90% of the variance of the incidence of wooden breast and deep pectoral myopathy in broiler chickens. © The Author 2015. Published by Oxford University Press on behalf of Poultry Science Association.

The origin, current diversity and future conservation of the modern lion (Panthera leo)

Science.gov (United States)

Barnett, Ross; Yamaguchi, Nobuyuki; Barnes, Ian; Cooper, Alan

2006-01-01

Understanding the phylogeographic processes affecting endangered species is crucial both to interpreting their evolutionary history and to the establishment of conservation strategies. Lions provide a key opportunity to explore such processes; however, a lack of genetic diversity and shortage of suitable samples has until now hindered such investigation. We used mitochondrial control region DNA (mtDNA) sequences to investigate the phylogeographic history of modern lions, using samples from across their entire range. We find the sub-Saharan African lions are basal among modern lions, supporting a single African origin model of modern lion evolution, equivalent to the ‘recent African origin’ model of modern human evolution. We also find the greatest variety of mtDNA haplotypes in the centre of Africa, which may be due to the distribution of physical barriers and continental-scale habitat changes caused by Pleistocene glacial oscillations. Our results suggest that the modern lion may currently consist of three geographic populations on the basis of their recent evolutionary history: North African–Asian, southern African and middle African. Future conservation strategies should take these evolutionary subdivisions into consideration. PMID:16901830

Recovering the geographic origin of early modern humans by realistic and spatially explicit simulations

OpenAIRE

Ray, Nicolas; Currat, Mathias; Berthier, Pierre; Excoffier, Laurent

2005-01-01

Most genetic and archeological evidence argue in favor of a recent and unique origin of modern humans in sub-Saharan Africa, but no attempt has ever been made at quantifying the likelihood of this model, relative to alternative hypotheses of human evolution. In this paper, we investigate the possibility of using multilocus genetic data to correctly infer the geographic origin of humans, and to distinguish between a unique origin (UO) and a multiregional evolution (ME) model. We introduce here...

Adult Education in the Danish Modernization Process

DEFF Research Database (Denmark)

Olesen, Henning Salling

2014-01-01

at local participants and contexts and a globalization process which redefines the cultural environment and presents a new and challenging agenda for adult learning. I will apply a rather general framework of historical analysis of adult education which is derived from and related to European modernization...... (Salling Olesen 2009) on the history of Danish adult education and the possible contemporary impacts of this history (Salling Olesen 1985;1989). It looks at the societal nature of adult learning and hence the societal functions of adult education, and emphasizes the historical dimension in the sense...... of linking adult education to local socioeconomic, political, and cultural dynamics. Having done that I will return to the question about how we can see adult education in the context of globalization....

Lessons learned from family history in ocular genetics.

Science.gov (United States)

Marino, Meghan J

2015-07-01

Given the vast genetic and phenotypic heterogeneity seen in ocular genetic disorders, considering a patient's clinical phenotype in the context of the family history is essential. Clinicians can improve patient care by appropriately incorporating a patient's family history into their evaluation. Obtaining, reviewing, and accurately interpreting the pedigree are skills geneticists and genetic counselors possess. However, with the field of ophthalmic genetics vastly growing, it is becoming essential for ophthalmologists to understand the utility of the pedigree and develop their abilities in eliciting this information. By not considering a patient's clinical history in the context of the family history, diagnoses can be missed or inaccurate. The purpose of this review is to inform ophthalmologists on the importance of the family history and highlight how the pedigree can aid in establishing an accurate genetic diagnosis. This review also provides to ophthalmologists helpful tips on eliciting and interpreting a patient's family history.

Personalized medicine and human genetic diversity.

Science.gov (United States)

Lu, Yi-Fan; Goldstein, David B; Angrist, Misha; Cavalleri, Gianpiero

2014-07-24

Human genetic diversity has long been studied both to understand how genetic variation influences risk of disease and infer aspects of human evolutionary history. In this article, we review historical and contemporary views of human genetic diversity, the rare and common mutations implicated in human disease susceptibility, and the relevance of genetic diversity to personalized medicine. First, we describe the development of thought about diversity through the 20th century and through more modern studies including genome-wide association studies (GWAS) and next-generation sequencing. We introduce several examples, such as sickle cell anemia and Tay-Sachs disease that are caused by rare mutations and are more frequent in certain geographical populations, and common treatment responses that are caused by common variants, such as hepatitis C infection. We conclude with comments about the continued relevance of human genetic diversity in medical genetics and personalized medicine more generally. Copyright © 2014 Cold Spring Harbor Laboratory Press; all rights reserved.

[MODERN VIEWS ON THE PHARMACOGENETICS OF PAIN.

Science.gov (United States)

Makharin, O A; Zhenilo, V M; Patyuchenko, O Yu

2017-09-01

Quality anesthesia during surgery and in the postoperative period remains a topical problem of modern anesthesiology. The study of genetic characteristics of a patient is a goal that may be allow us to develop a personalized approach to solve this problem. The purpose of the review is a synthesis of literature data about the influence of genetic factors on pain perception and its treatment. The review included information obtained from SCOPUS, MedLine, EMBASE. The search keywords were: pain, pharmacogenetics, polymorphism, analgesics.Describe the effect ofgene polymorphisms of OPRM, 5HTRIA, 5HTR2A, COMT GCHI, SCN9A, KCNSI, CACNA2D3, CACNG2, PTGSI, PTGS2, MDRJ/ABCB] on the perception of pain, and CYP2D6, CYP2C9, CYP3A4 on the pharmacokinetics and pharmacodynamics of medi- cations used in the treatment of pain.

The Among System in the Senior High School History Learning

Directory of Open Access Journals (Sweden)

Nugraha Nugraha

2018-05-01

Full Text Available This study describes the theoretical and practical aspect of the Among - system in the modern historical learning. As a preliminary research, this article formulates a conceptual framework of the Among- system in the contemporary learning, especially modern history learning. This research used library research method that conducted in Dewantara Kirti Griya Library Yogyakarta. Data analysis was done by the descriptive method of collecting data, compiling or classifying, and interpreting.

Mobility in Learning: The Feasibility of Encouraging Language Learning on Smartphones

Directory of Open Access Journals (Sweden)

Keith Barrs

2011-09-01

Full Text Available With normalised technology in language learning contexts there is an unprecedented opportunity to re-define the nature of learning. Traditional ideas of classroom-based learning are giving way to modern ideas of ‘24/7 anywhere, anytime’ learning which is accessed and managed in part or in whole by the learners themselves, primarily on mobile devices. This is a "work in progress" article detailing the initial stages of a study investigating normalisation of smart phones in a language classroom in Japan.

Trading Zones in Early Modern Europe.

Science.gov (United States)

Long, Pamela O

2015-12-01

This essay adopts the concept of trading zones first developed for the history of science by Peter Galison and redefines it for the early modern period. The term "trading zones" is used to mean arenas in which substantive and reciprocal communication occurred between individuals who were artisanally trained and learned (university-trained) individuals. Such trading zones proliferated in the sixteenth century. They tended to arise in certain kinds of places and not in others, but their existence must be determined empirically. The author's work on trading zones differs from the ideas of Edgar Zilsel, who emphasized the influence of artisans on the scientific revolution. In contrast, in this essay, the mutual influence of artisans and the learned on each other is stressed, and translation is used as a modality that was important to communication within trading zones.

Use DNA to learn from the past: how modern and ancient DNA studies may help reveal the past and predict the future distribution of species

Science.gov (United States)

Edwards, M. E.; Alsos, I. G.; Sjögren, P.; Coissac, E.; Gielly, L.; Yoccoz, N.; Føreid, M. K.; Taberlet, P.

2015-12-01

Knowledge of how climate change affected species distribution in the past may help us predict the effect of ongoing environmental changes. We explore how the use of modern (AFLP fingerprinting techniques) and ancient DNA (metabarcoding P6 loop of chloroplast DNA) help to reveal past distribution of vascular plant species, dispersal processes, and effect of species traits. Based on studies of modern DNA combined with species distribution models, we show the dispersal routes and barriers to dispersal throughout the circumarctic/circumboreal region, likely dispersal vectors, the cost of dispersal in term of loss of genetic diversity, and how these relates to species traits, dispersal distance, and size of colonized region. We also estimate the expected future distribution and loss of genetic diversity and show how this relates to life form and adaptations to dispersal. To gain more knowledge on time lags in past range change events, we rely on palaeorecords. Current data on past distribution are limited by the taxonomic and time resolution of macrofossil and pollen records. We show how this may be improved by studying ancient DNA of lake sediments. DNA of lake sediments recorded about half of the flora surrounding the lake. Compared to macrofossil, the taxonomic resolution is similar but the detection rate is considerable improved. By taking into account main determinants of founder effect, dispersal vectors, and dispersal lags, we may improve our ability to forecast effects of climate change, whereas more studies on ancient DNA may provide us with knowledge on distribution time lags.

Hybrid attribute-based recommender system for learning material using genetic algorithm and a multidimensional information model

Directory of Open Access Journals (Sweden)

Mojtaba Salehi

2013-03-01

Full Text Available In recent years, the explosion of learning materials in the web-based educational systems has caused difficulty of locating appropriate learning materials to learners. A personalized recommendation is an enabling mechanism to overcome information overload occurred in the new learning environments and deliver suitable materials to learners. Since users express their opinions based on some specific attributes of items, this paper proposes a hybrid recommender system for learning materials based on their attributes to improve the accuracy and quality of recommendation. The presented system has two main modules: explicit attribute-based recommender and implicit attribute-based recommender. In the first module, weights of implicit or latent attributes of materials for learner are considered as chromosomes in genetic algorithm then this algorithm optimizes the weights according to historical rating. Then, recommendation is generated by Nearest Neighborhood Algorithm (NNA using the optimized weight vectors implicit attributes that represent the opinions of learners. In the second, preference matrix (PM is introduced that can model the interests of learner based on explicit attributes of learning materials in a multidimensional information model. Then, a new similarity measure between PMs is introduced and recommendations are generated by NNA. The experimental results show that our proposed method outperforms current algorithms on accuracy measures and can alleviate some problems such as cold-start and sparsity.

Adaptations to local environments in modern human populations.

Science.gov (United States)

Jeong, Choongwon; Di Rienzo, Anna

2014-12-01

After leaving sub-Saharan Africa around 50000-100000 years ago, anatomically modern humans have quickly occupied extremely diverse environments. Human populations were exposed to further environmental changes resulting from cultural innovations, such as the spread of farming, which gave rise to new selective pressures related to pathogen exposures and dietary shifts. In addition to changing the frequency of individual adaptive alleles, natural selection may also shape the overall genetic architecture of adaptive traits. Here, we review recent advances in understanding the genetic architecture of adaptive human phenotypes based on insights from the studies of lactase persistence, skin pigmentation and high-altitude adaptation. These adaptations evolved in parallel in multiple human populations, providing a chance to investigate independent realizations of the evolutionary process. We suggest that the outcome of adaptive evolution is often highly variable even under similar selective pressures. Finally, we highlight a growing need for detecting adaptations that did not follow the classical sweep model and for incorporating new sources of genetic evidence such as information from ancient DNA. Copyright © 2014 Elsevier Ltd. All rights reserved.

Prehistoric genomes reveal the genetic foundation and cost of horse domestication

DEFF Research Database (Denmark)

Schubert, Mikkel; Jáónsson, Hákon; Chang, Dan

2014-01-01

genetics alone. We therefore sequenced two complete horse genomes, predating domestication by thousands of years, to characterize the genetic footprint of domestication. These ancient genomes reveal predomestic population structure and a significant fraction of genetic variation shared with the domestic...... breeds but absent from Przewalski’s horses. We find positive selection on genes involved in various aspects of locomotion, physiology, and cognition. Finally, we show that modern horse genomes contain an excess of deleterious mutations, likely representing the genetic cost of domestication....

HOW TO REPRESENT THE GENETIC CODE?

Directory of Open Access Journals (Sweden)

N.S. Santos-Magalhães

2004-05-01

Full Text Available The advent of molecular genetic comprises a true revolution of far-reaching consequences for human-kind, which evolved into a specialized branch of the modern-day Biochemistry. The analysis of specicgenomic information are gaining wide-ranging interest because of their signicance to the early diag-nosis of disease, and the discovery of modern drugs. In order to take advantage of a wide assortmentof signal processing (SP algorithms, the primary step of modern genomic SP involves convertingsymbolic-DNA sequences into complex-valued signals. How to represent the genetic code? Despitebeing extensively known, the DNA mapping into proteins is one of the relevant discoveries of genetics.The genetic code (GC is revisited in this work, addressing other descriptions for it, which can beworthy for genomic SP. Three original representations are discussed. The inner-to-outer map buildson the unbalanced role of nucleotides of a codon. A two-dimensional-Gray genetic representationis oered as a structured map that can help interpreting DNA spectrograms or scalograms. Theseare among the powerful visual tools for genome analysis, which depends on the choice of the geneticmapping. Finally, the world-chart for the GC is investigated. Evoking the cyclic structure of thegenetic mapping, it can be folded joining the left-right borders, and the top-bottom frontiers. As aresult, the GC can be drawn on the surface of a sphere resembling a world-map. Eight parallels oflatitude are required (four in each hemisphere as well as four meridians of longitude associated tofour corresponding anti-meridians. The tropic circles have 11.25o, 33.75o, 56.25o, and 78.5o (Northand South. Starting from an arbitrary Greenwich meridian, the meridians of longitude can be plottedat 22.5o, 67.5o, 112.5o, and 157.5o (East and West. Each triplet is assigned to a single point on thesurface that we named Nirenberg-Kohamas Earth. Despite being valuable, usual representations forthe GC can be

Characterization of Genetic Variation in Icelandic Cattle

DEFF Research Database (Denmark)

Holm, Lars-Erik; Das, Ashutosh; Momeni, Jamal

Identification of genetic variation in cattle breeds using next-generation sequencing technology has focused on the modern production cattle breeds. We focused on one of the oldest indigenous breeds, the Icelandic cattle breed. Sequencing of two individuals enabled identification of more than 8...

MODERN BIOTECHNOLOGICAL APPROACHES TO LIFESPAN EXTENSION OF ANIMALS AND HUMANS

Directory of Open Access Journals (Sweden)

E. L. Levitsky

2017-04-01

Full Text Available The purpose of the research was to analyze current data concerning the problem of extending the life of multicellular animals and humans. The modern views about the processes of aging and prolongation of life are presented. The analysis focused on the genetic mechanisms of aging and mainly biotechnological approaches (genetic engineering, gene therapy, the use of stem cells, and the reprogramming of the genome to prolong the life of multicellular organisms. For comparison, some traditional methods of prolonging life are described (drug therapy, exercise training, calorically restricted nutrition. This analysis allows to postulate the perspectives and advantages of using biotechnological methods for prolonging life in comparison with traditional ones.

Reconstructing the genetic history of late Neanderthals.

Science.gov (United States)

Hajdinjak, Mateja; Fu, Qiaomei; Hübner, Alexander; Petr, Martin; Mafessoni, Fabrizio; Grote, Steffi; Skoglund, Pontus; Narasimham, Vagheesh; Rougier, Hélène; Crevecoeur, Isabelle; Semal, Patrick; Soressi, Marie; Talamo, Sahra; Hublin, Jean-Jacques; Gušić, Ivan; Kućan, Željko; Rudan, Pavao; Golovanova, Liubov V; Doronichev, Vladimir B; Posth, Cosimo; Krause, Johannes; Korlević, Petra; Nagel, Sarah; Nickel, Birgit; Slatkin, Montgomery; Patterson, Nick; Reich, David; Prüfer, Kay; Meyer, Matthias; Pääbo, Svante; Kelso, Janet

2018-03-29

Although it has previously been shown that Neanderthals contributed DNA to modern humans, not much is known about the genetic diversity of Neanderthals or the relationship between late Neanderthal populations at the time at which their last interactions with early modern humans occurred and before they eventually disappeared. Our ability to retrieve DNA from a larger number of Neanderthal individuals has been limited by poor preservation of endogenous DNA and contamination of Neanderthal skeletal remains by large amounts of microbial and present-day human DNA. Here we use hypochlorite treatment of as little as 9 mg of bone or tooth powder to generate between 1- and 2.7-fold genomic coverage of five Neanderthals who lived around 39,000 to 47,000 years ago (that is, late Neanderthals), thereby doubling the number of Neanderthals for which genome sequences are available. Genetic similarity among late Neanderthals is well predicted by their geographical location, and comparison to the genome of an older Neanderthal from the Caucasus indicates that a population turnover is likely to have occurred, either in the Caucasus or throughout Europe, towards the end of Neanderthal history. We find that the bulk of Neanderthal gene flow into early modern humans originated from one or more source populations that diverged from the Neanderthals that were studied here at least 70,000 years ago, but after they split from a previously sequenced Neanderthal from Siberia around 150,000 years ago. Although four of the Neanderthals studied here post-date the putative arrival of early modern humans into Europe, we do not detect any recent gene flow from early modern humans in their ancestry.

Informing a Learning Progression in Genetics: Which Should Be Taught First, Mendelian Inheritance or the Central Dogma of Molecular Biology?

Science.gov (United States)

Duncan, Ravit Golan; Castro-Faix, Moraima; Choi, Jinnie

2016-01-01

The Framework for Science Education and the Next Generation Science Standards in the USA emphasize learning progressions (LPs) that support conceptual coherence and the gradual building of knowledge over time. In the domain of genetics there are two independently developed alternative LPs. In essence, the difference between the two progressions…

Governing the Modern, Neoliberal Child through ICT Research in Mathematics Education

Science.gov (United States)

Valero, Paola; Knijnik, Gelsa

2015-01-01

Research on the pedagogical uses of ICT for the learning of mathematics formulates cultural thesis about the desired subject of education and society, and thereby contribute to fabricate the rational, Modern, self­-regulated, entrepreneurial neoliberal child. Using the Foucauldian notion of governmentality, the section Technology in the…

A Fruitful Exchange/Conflict: Engineers and Mathematicians in Early Modern Italy

Science.gov (United States)

Maffioli, Cesare S.

2013-01-01

Exchanges of learning and controversies between engineers and mathematicians were important factors in the development of early modern science. This theme is discussed by focusing, first, on architectural and mathematical dynamism in mid 16th-century Milan. While some engineers-architects referred to Euclid and Vitruvius for improving their…

Advanced Machine Learning for Classification, Regression, and Generation in Jet Physics

CERN Multimedia

CERN. Geneva

2017-01-01

There is a deep connection between machine learning and jet physics - after all, jets are defined by unsupervised learning algorithms. Jet physics has been a driving force for studying modern machine learning in high energy physics. Domain specific challenges require new techniques to make full use of the algorithms. A key focus is on understanding how and what the algorithms learn. Modern machine learning techniques for jet physics are demonstrated for classification, regression, and generation. In addition to providing powerful baseline performance, we show how to train complex models directly on data and to generate sparse stacked images with non-uniform granularity.

Cafesat: A modern sat solver for scala

OpenAIRE

Blanc Régis

2013-01-01

We present CafeSat a SAT solver written in the Scala programming language. CafeSat is a modern solver based on DPLL and featuring many state of the art techniques and heuristics. It uses two watched literals for Boolean constraint propagation conict driven learning along with clause deletion a restarting strategy and the VSIDS heuristics for choosing the branching literal. CafeSat is both sound and complete. In order to achieve reasonable performance low level and hand tuned data structures a...

Genetic Engineering of Alfalfa (Medicago sativa L.).

Science.gov (United States)

Wang, Dan; Khurshid, Muhammad; Sun, Zhan Min; Tang, Yi Xiong; Zhou, Mei Liang; Wu, Yan Min

2016-01-01

Alfalfa is excellent perennial legume forage for its extensive ecological adaptability, high nutrition value, palatability and biological nitrogen fixation. It plays a very important role in the agriculture, animal husbandry and ecological construction. It is cultivated in all continents. With the development of modern plant breeding and genetic engineering techniques, a large amount of work has been carried out on alfalfa. Here we summarize the recent research advances in genetic engineering of alfalfa breeding, including transformation, quality improvement, stress resistance and as a bioreactor. The review article can enables us to understand the research method, direction and achievements of genetic engineering technology of Alfalfa.

Direct-to-consumer DNA testing: the fallout for individuals and their families unexpectedly learning of their donor conception origins.

Science.gov (United States)

Crawshaw, Marilyn

2017-07-11

Increasing numbers of donor-conceived individuals (and/or parents) are seeking individuals genetically related through donor conception. One route is through 'direct-to-consumer' (DTC) DNA testing, prompting calls for fertility services to alert donors and prospective parents to the increasing unsustainability of anonymity and secrecy. The complexity of interpreting DNA results in this context has also been discussed, including their lack of absolute certainty, as has the need for professional and peer support. This commentary highlights a different 'threat', from individuals learning of their donor-conception origins through the use of such tests by themselves or relatives for such purposes as genealogy or health checks. It illustrates the personal complexities faced by three older women and their families on learning not only of their genetic relationship to each other but also to 15 more donor-related siblings. DTC DNA services are a growing feature of modern life. This commentary raises ethical questions about their responsibilities towards those inadvertently learning of donor conception origins and the responsibilities of fertility services to inform prospective parents and donors of this new phenomenon. Considerations of how and when parents should tell their children of their donor-conception origins here instead become how and when children should inform their parents.

Applications of modern statistical methods to analysis of data in physical science

Science.gov (United States)

Wicker, James Eric

Modern methods of statistical and computational analysis offer solutions to dilemmas confronting researchers in physical science. Although the ideas behind modern statistical and computational analysis methods were originally introduced in the 1970's, most scientists still rely on methods written during the early era of computing. These researchers, who analyze increasingly voluminous and multivariate data sets, need modern analysis methods to extract the best results from their studies. The first section of this work showcases applications of modern linear regression. Since the 1960's, many researchers in spectroscopy have used classical stepwise regression techniques to derive molecular constants. However, problems with thresholds of entry and exit for model variables plagues this analysis method. Other criticisms of this kind of stepwise procedure include its inefficient searching method, the order in which variables enter or leave the model and problems with overfitting data. We implement an information scoring technique that overcomes the assumptions inherent in the stepwise regression process to calculate molecular model parameters. We believe that this kind of information based model evaluation can be applied to more general analysis situations in physical science. The second section proposes new methods of multivariate cluster analysis. The K-means algorithm and the EM algorithm, introduced in the 1960's and 1970's respectively, formed the basis of multivariate cluster analysis methodology for many years. However, several shortcomings of these methods include strong dependence on initial seed values and inaccurate results when the data seriously depart from hypersphericity. We propose new cluster analysis methods based on genetic algorithms that overcomes the strong dependence on initial seed values. In addition, we propose a generalization of the Genetic K-means algorithm which can accurately identify clusters with complex hyperellipsoidal covariance

the iniprovement and application of genetic resources in animal

African Journals Online (AJOL)

Animal and Dairy Science Reseorch Instiute, Irene, 1675. In the process of abandoning ... genetic improvement of the industry on a national basis. Quantitatively the ..... rapidly developing, challenging and competitive world with its modern ...

Genomic analyses of modern dog breeds.

Science.gov (United States)

Parker, Heidi G

2012-02-01

A rose may be a rose by any other name, but when you call a dog a poodle it becomes a very different animal than if you call it a bulldog. Both the poodle and the bulldog are examples of dog breeds of which there are >400 recognized worldwide. Breed creation has played a significant role in shaping the modern dog from the length of his leg to the cadence of his bark. The selection and line-breeding required to maintain a breed has also reshaped the genome of the dog, resulting in a unique genetic pattern for each breed. The breed-based population structure combined with extensive morphologic variation and shared human environments have made the dog a popular model for mapping both simple and complex traits and diseases. In order to obtain the most benefit from the dog as a genetic system, it is necessary to understand the effect structured breeding has had on the genome of the species. That is best achieved by looking at genomic analyses of the breeds, their histories, and their relationships to each other.

Modern vitiligo genetics sheds new light on an ancient disease

Science.gov (United States)

SPRITZ, Richard A.

2013-01-01

Vitiligo is a complex disorder in which autoimmune destruction of melanocytes results in white patches of skin and overlying hair. Over the past several years, extensive genetic studies have outlined a biological framework of vitiligo pathobiology that underscores its relationship to other autoimmune diseases. This biological framework offers insight into both vitiligo pathogenesis and perhaps avenues towards more effective approaches to treatment and even disease prevention. PMID:23668538

Genetic engineering applied to agriculture has a long row to hoe.

Science.gov (United States)

Miller, Henry I

2018-01-02

In spite of the lack of scientific justification for skepticism about crops modified with molecular techniques of genetic engineering, they have been the most scrutinized agricultural products in human history. The assumption that "genetically engineered" or "genetically modified" is a meaningful - and dangerous - classification has led to excessive and dilatory regulation. The modern molecular techniques are an extension, or refinement, of older, less precise, less predictable methods of genetic modification, but as long as today's activists and regulators remain convinced that so called "GMOs" represent a distinct and dangerous category of research and products, genetic engineering will fall short of its potential.

Individual differences in the learning potential of human beings

Science.gov (United States)

Stern, Elsbeth

2017-01-01

To the best of our knowledge, the genetic foundations that guide human brain development have not changed fundamentally during the past 50,000 years. However, because of their cognitive potential, humans have changed the world tremendously in the past centuries. They have invented technical devices, institutions that regulate cooperation and competition, and symbol systems, such as script and mathematics, that serve as reasoning tools. The exceptional learning ability of humans allows newborns to adapt to the world they are born into; however, there are tremendous individual differences in learning ability among humans that become obvious in school at the latest. Cognitive psychology has developed models of memory and information processing that attempt to explain how humans learn (general perspective), while the variation among individuals (differential perspective) has been the focus of psychometric intelligence research. Although both lines of research have been proceeding independently, they increasingly converge, as both investigate the concepts of working memory and knowledge construction. This review begins with presenting state-of-the-art research on human information processing and its potential in academic learning. Then, a brief overview of the history of psychometric intelligence research is combined with presenting recent work on the role of intelligence in modern societies and on the nature-nurture debate. Finally, promising approaches to integrating the general and differential perspective will be discussed in the conclusion of this review.

Update on Modern Management of Pheochromocytoma and Paraganglioma.

Science.gov (United States)

Lenders, Jacques W M; Eisenhofer, Graeme

2017-06-01

Despite all technical progress in modern diagnostic methods and treatment modalities of pheochromocytoma/paraganglioma, early consideration of the presence of these tumors remains the pivotal link towards the best possible outcome for patients. A timely diagnosis and proper treatment can prevent the wide variety of potentially catastrophic cardiovascular complications. Modern biochemical testing should include tests that offer the best available diagnostic performance, measurements of metanephrines and 3-methoxytyramine in plasma or urine. To minimize false-positive test results particular attention should be paid to pre-analytical sampling conditions. In addition to anatomical imaging by computed tomography (CT) or magnetic resonance imaging, new promising functional imaging modalities of photon emission tomography/CT using with somatostatin analogues such as ⁶⁸Ga-DOTATATE (⁶⁸Ga-labeled DOTA(0)-Tyr(3)-octreotide) will probably replace ¹²³I-MIBG (iodine-123-metaiodobenzylguanidine) in the near future. As nearly half of all pheochromocytoma patients harbor a mutation in one of the 14 tumor susceptibility genes, genetic testing and counseling should at least be considered in all patients with a proven tumor. Post-surgical annual follow-up of patients by measurements of plasma or urinary metanephrines should last for at least 10 years for timely detection of recurrent or metastatic disease. Patients with a high risk for recurrence or metastatic disease (paraganglioma, young age, multiple or large tumors, genetic background) should be followed up lifelong. Copyright © 2017 Korean Endocrine Society.

Contributions of Zea mays subspecies mexicana haplotypes to modern maize.

Science.gov (United States)

Yang, Ning; Xu, Xi-Wen; Wang, Rui-Ru; Peng, Wen-Lei; Cai, Lichun; Song, Jia-Ming; Li, Wenqiang; Luo, Xin; Niu, Luyao; Wang, Yuebin; Jin, Min; Chen, Lu; Luo, Jingyun; Deng, Min; Wang, Long; Pan, Qingchun; Liu, Feng; Jackson, David; Yang, Xiaohong; Chen, Ling-Ling; Yan, Jianbing

2017-11-30

Maize was domesticated from lowland teosinte (Zea mays ssp. parviglumis), but the contribution of highland teosinte (Zea mays ssp. mexicana, hereafter mexicana) to modern maize is not clear. Here, two genomes for Mo17 (a modern maize inbred) and mexicana are assembled using a meta-assembly strategy after sequencing of 10 lines derived from a maize-teosinte cross. Comparative analyses reveal a high level of diversity between Mo17, B73, and mexicana, including three Mb-size structural rearrangements. The maize spontaneous mutation rate is estimated to be 2.17 × 10 -8 ~3.87 × 10 -8 per site per generation with a nonrandom distribution across the genome. A higher deleterious mutation rate is observed in the pericentromeric regions, and might be caused by differences in recombination frequency. Over 10% of the maize genome shows evidence of introgression from the mexicana genome, suggesting that mexicana contributed to maize adaptation and improvement. Our data offer a rich resource for constructing the pan-genome of Zea mays and genetic improvement of modern maize varieties.

Electronic means of teaching as the basis of educational process at the modern higher school

Directory of Open Access Journals (Sweden)

Лилия Борисовна Белоглазова

2015-12-01

Full Text Available The article begins with a description of the communication sphere of the information society and its importance in education. The author then describes the e-learning tools and identifies their types. The author then proceeds to the characterization of multimedia technology based on the use of e-learning. The author also draws attention to the distance learning technologies and concludes the feasibility of its development in the educational process of modern higher education.

Smart Educational Process Based on Personal Learning Capabilities

OpenAIRE

Gavriushenko, Mariia; Lindberg, Renny S. N.; Khriyenko, Oleksiy

2017-01-01

Personalized learning is increasingly gaining popularity, especially with the development of information technology and modern educational resources for learning. Each person is individual and has different knowledge background, different kind of memory, different learning speed. Teacher can adapt learning course, learning instructions or learning material according to the majority of learners in class, but that means that learning process is not adapted to the personality of each...

Genetic technologies and ethics.

Science.gov (United States)

Ardekani, Ali M

2009-01-01

In the past decade, the human genome has been completely sequenced and the knowledge from it has begun to influence the fields of biological and social sciences in fundamental ways. Identification of about 25000 genes in the human genome is expected to create great benefits in diagnosis and treatment of diseases in the coming years. However, Genetic technologies have also created many interesting and difficult ethical issues which can affect the human societies now and in the future. Application of genetic technologies in the areas of stem cells, cloning, gene therapy, genetic manipulation, gene selection, sex selection and preimplantation diagnosis has created a great potential for the human race to influence and change human life on earth as we know it today. Therefore, it is important for leaders of societies in the modern world to pay attention to the advances in genetic technologies and prepare themselves and those institutions under their command to face the challenges which these new technologies induce in the areas of ethics, law and social policies.

Properties of a genetic algorithm extended by a random self-learning operator and asymmetric mutations: A convergence study for a task of powder-pattern indexing

International Nuclear Information System (INIS)

Paszkowicz, Wojciech

2006-01-01

Genetic algorithms represent a powerful global-optimisation tool applicable in solving tasks of high complexity in science, technology, medicine, communication, etc. The usual genetic-algorithm calculation scheme is extended here by introduction of a quadratic self-learning operator, which performs a partial local search for randomly selected representatives of the population. This operator is aimed as a minor deterministic contribution to the (stochastic) genetic search. The population representing the trial solutions is split into two equal subpopulations allowed to exhibit different mutation rates (so called asymmetric mutation). The convergence is studied in detail exploiting a crystallographic-test example of indexing of powder diffraction data of orthorhombic lithium copper oxide, varying such parameters as mutation rates and the learning rate. It is shown through the averaged (over the subpopulation) fitness behaviour, how the genetic diversity in the population depends on the mutation rate of the given subpopulation. Conditions and algorithm parameter values favourable for convergence in the framework of proposed approach are discussed using the results for the mentioned example. Further data are studied with a somewhat modified algorithm using periodically varying mutation rates and a problem-specific operator. The chance of finding the global optimum and the convergence speed are observed to be strongly influenced by the effective mutation level and on the self-learning level. The optimal values of these two parameters are about 6 and 5%, respectively. The periodic changes of mutation rate are found to improve the explorative abilities of the algorithm. The results of the study confirm that the applied methodology leads to improvement of the classical genetic algorithm and, therefore, it is expected to be helpful in constructing of algorithms permitting to solve similar tasks of higher complexity

Evolutionary model with genetics, aging, and knowledge

Science.gov (United States)

Bustillos, Armando Ticona; de Oliveira, Paulo Murilo

2004-02-01

We represent a process of learning by using bit strings, where 1 bits represent the knowledge acquired by individuals. Two ways of learning are considered: individual learning by trial and error, and social learning by copying knowledge from other individuals or from parents in the case of species with parental care. The age-structured bit string allows us to study how knowledge is accumulated during life and its influence over the genetic pool of a population after many generations. We use the Penna model to represent the genetic inheritance of each individual. In order to study how the accumulated knowledge influences the survival process, we include it to help individuals to avoid the various death situations. Modifications in the Verhulst factor do not show any special feature due to its random nature. However, by adding years to life as a function of the accumulated knowledge, we observe an improvement of the survival rates while the genetic fitness of the population becomes worse. In this latter case, knowledge becomes more important in the last years of life where individuals are threatened by diseases. Effects of offspring overprotection and differences between individual and social learning can also be observed. Sexual selection as a function of knowledge shows some effects when fidelity is imposed.

Ecologically sound management: aspects of modern sustainable deer farming systems.

Science.gov (United States)

Pearse, A J; Drew, K R

1998-01-01

Modern deer farming systems have become increasingly intensive allowing strategic feeding for production and genetic improvement programmes. Meeting feeding standards that account for changing nutritional demands related to seasonality and reproductive state is critical. As the industry matures there is a growing awareness of the balance between retaining natural behaviour in producing breeding stock on larger extensive holdings and intensification systems for performance in young stock. Stocking rates are critical determinants of success as land use and capability needs are matched with an increasing stratification of stock type and purpose. Food product safety and welfare considerations of farmed deer are being driven by consumer demands. Farm quality assurance and codes of practice are developing to ensure that deer farming meets and exceeds international expectations of land use and deer welfare in modern deer farming systems.

Critical Points in Distance Learning System

Directory of Open Access Journals (Sweden)

Airina Savickaitė

2013-08-01

Full Text Available Purpose – This article presents the results of distance learning system analysis, i.e. the critical elements of the distance learning system. The critical points of distance learning are a part of distance education online environment interactivity/community process model. The most important is the fact that the critical point is associated with distance learning participants. Design/methodology/approach – Comparative review of articles and analysis of distance learning module. Findings – A modern man is a lifelong learner and distance learning is a way to be a modern person. The focus on a learner and feedback is the most important thing of learning distance system. Also, attention should be paid to the lecture-appropriate knowledge and ability to convey information. Distance system adaptation is the way to improve the learner’s learning outcomes. Research limitations/implications – Different learning disciplines and learning methods may have different critical points. Practical implications – The information of analysis could be important for both lecturers and students, who studies distance education systems. There are familiar critical points which may deteriorate the quality of learning. Originality/value – The study sought to develop remote systems for applications in order to improve the quality of knowledge. Keywords: distance learning, process model, critical points. Research type: review of literature and general overview.

Learning and Communicative Rationality

DEFF Research Database (Denmark)

Rasmussen, Palle

The paper is an attempt to outline Habermas' contributions to a theory of learning. Such contributions are found in his work on individual learning and socialization, the constitution and reproduction of lifeworlds, the character of social evolution, the processes of public delibearation...... and democracy and the idea and role of universities. A "theory of learning" is not taken in a very formalised sense, rather the idea is to identify themes where Habermas' theoretical framework provide the opportunity for locating important aspects of learning in modern society....

Research on Mobile Learning Activities Applying Tablets

Science.gov (United States)

Kurilovas, Eugenijus; Juskeviciene, Anita; Bireniene, Virginija

2015-01-01

The paper aims to present current research on mobile learning activities in Lithuania while implementing flagship EU-funded CCL project on application of tablet computers in education. In the paper, the quality of modern mobile learning activities based on learning personalisation, problem solving, collaboration, and flipped class methods is…

Mineralogy: a modern approach to teaching a traditional discipline

Science.gov (United States)

Cook, G. W.

2011-12-01

Mineralogy has traditionally been a primary component in undergraduate geoscience curriculum. In recent years, there has been a trend in which mineralogy and petrology have been combined into Earth Materials courses. This is unfortunate as these disciplines each have much to offer students, and content once considered essential is eliminated out of necessity. Mineralogy is still fundamental to students' understanding of the Earth and Earth processes. Using a modern approach to time-honored concepts, I teach a quarter-long Introductory Mineralogy class offered through the Scripps Institution of Oceanography at the University of California, San Diego. Student evaluations of this course unequivocally indicate a high degree of learning and interest in the material, confirming that mineralogy continues to be a valuable class into the 21st century. While much of the content remains similar to what has been taught over the last century, my strategy involves a well-balanced approach to old and new. The first third of the course is background including the relevance of mineralogy, crystal chemistry, and crystallography; the second third of the course is systematic mineralogy using the Dana system; the last third of the course is devoted to understanding optical mineralogy, using modern analytical equipment such as XRD and SEM, and learning to use the petrographic microscope. Throughout the quarter, a strong emphasis is placed on the importance of hand-sample identification. Field work, traditionally not emphasized in mineralogy courses, has been re-introduced to the curriculum. I use modern technology to facilitate and support student learning. A lecture-based approach is employed with carefully crafted and organized PowerPoint presentations. PowerPoint lectures can be effective and highly engaging. The key is to ensure that the lectures are not overly reliant on text, instead relying on diagrams, charts, photos, and embedded media such as 3-D animations (ex. to teach

Deep Learning Neural Networks and Bayesian Neural Networks in Data Analysis

Directory of Open Access Journals (Sweden)

Chernoded Andrey

2017-01-01

Full Text Available Most of the modern analyses in high energy physics use signal-versus-background classification techniques of machine learning methods and neural networks in particular. Deep learning neural network is the most promising modern technique to separate signal and background and now days can be widely and successfully implemented as a part of physical analysis. In this article we compare Deep learning and Bayesian neural networks application as a classifiers in an instance of top quark analysis.

Genetic testing in the workplace: the employer's coin toss.

Science.gov (United States)

French, Samantha

2002-09-05

A toss of the coin by the modern-day employer reveals two options regarding genetic testing in the workplace. The employer may choose to take advantage of increasingly precise, available, and affordable genetic testing in order to ascertain the genetic characteristics--and deficiencies--of its employees. This outcome exposes the employer to a vast array of potential litigation and liability relating to the Americans with Disabilities Act, the Fourth Amendment, Title VII of the Civil Rights Act, and state legislation designed to protect genetic privacy. Alternatively, the employer may neglect to indulge in this trend of genetic testing and may face liability for employer negligence, violations of federal legislation such as OSHA regulations, and increased costs associated with insuring the health of genetically endangered employees. In the rapidly developing universe of genetic intelligence, the employer is faced with a staggering dilemma.

DNA Cryptography and Deep Learning using Genetic Algorithm with NW algorithm for Key Generation.

Science.gov (United States)

Kalsi, Shruti; Kaur, Harleen; Chang, Victor

2017-12-05

Cryptography is not only a science of applying complex mathematics and logic to design strong methods to hide data called as encryption, but also to retrieve the original data back, called decryption. The purpose of cryptography is to transmit a message between a sender and receiver such that an eavesdropper is unable to comprehend it. To accomplish this, not only we need a strong algorithm, but a strong key and a strong concept for encryption and decryption process. We have introduced a concept of DNA Deep Learning Cryptography which is defined as a technique of concealing data in terms of DNA sequence and deep learning. In the cryptographic technique, each alphabet of a letter is converted into a different combination of the four bases, namely; Adenine (A), Cytosine (C), Guanine (G) and Thymine (T), which make up the human deoxyribonucleic acid (DNA). Actual implementations with the DNA don't exceed laboratory level and are expensive. To bring DNA computing on a digital level, easy and effective algorithms are proposed in this paper. In proposed work we have introduced firstly, a method and its implementation for key generation based on the theory of natural selection using Genetic Algorithm with Needleman-Wunsch (NW) algorithm and Secondly, a method for implementation of encryption and decryption based on DNA computing using biological operations Transcription, Translation, DNA Sequencing and Deep Learning.

Cellular, Molecular, and Genetic Substrates Underlying the Impact of Nicotine on Learning

Science.gov (United States)

Gould, Thomas J.; Leach, Prescott T.

2013-01-01

deficits in learning, and 4) the role of genetics and developmental stage (i.e., adolescence) in these effects. PMID:23973448

Modernism and tradition and the traditions of modernism

Directory of Open Access Journals (Sweden)

Kros Džonatan

2006-01-01

Full Text Available Conventionally, the story of musical modernism has been told in terms of a catastrophic break with the (tonal past and the search for entirely new techniques and modes of expression suitable to a new age. The resulting notion of a single, linear, modernist mainstream (predicated on the basis of a Schoenbergian model of musical progress has served to conceal a more subtle relationship between past and present. Increasingly, it is being recognized that there exist many modernisms and their various identities are forged from a continual renegotiation between past and present, between tradition(s and the avant-garde. This is especially relevant when attempting to discuss the reception of modernism outside central Europe, where the adoption of (Germanic avant-garde attitudes was often interpreted as being "unpatriotic". The case of Great Britain is examined in detail: Harrison Birtwistle’s opera The Mask of Orpheus (1973–83 forms the focus for a wider discussion of modernism within the context of late/post-modern thought.

A Comparison between African Traditional and Modern Child Rearing Practice: With Implication to Youth Guidance and Counselling.

Science.gov (United States)

Tumuti, Sammy

In the traditional African society (TAS), the child is allowed to interact with learning materials and situations. Consequently, learning becomes relevant, meaningful, and purposeful in relation to the individual and the society. In the modern African society (MAS), education has been at best an experiment that is marked with inconsistencies in…

Empowering academia through modern fabrication practices

DEFF Research Database (Denmark)

Padfield, Nicolas; Haldrup, Michael; Hobye, Mads

We posit that modern fabrication and rapid prototyping practices can empower non-technical academic environments. For this to resonate with academic learning and research environments in a university context we must view FabLabs not only as machine parks but as creative environments, producing...... knowledge contributions in the form of processes, designs, artifacts and products. We must embrace thinking through the material, and embrace physical products as valid, accessible and assessable on an equal footing with traditional textual media. We describe two cases: workshops focused on exploration...... through the physical and digital media itself, without a traditional textual component....

Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning-based early diagnosis and proposes novel diagnostic and prognostic biomarkers.

Science.gov (United States)

Long, Nguyen Phuoc; Jung, Kyung Hee; Yoon, Sang Jun; Anh, Nguyen Hoang; Nghi, Tran Diem; Kang, Yun Pyo; Yan, Hong Hua; Min, Jung Eun; Hong, Soon-Sun; Kwon, Sung Won

2017-12-12

Although many outstanding achievements in the management of cervical cancer (CxCa) have obtained, it still imposes a major burden which has prompted scientists to discover and validate new CxCa biomarkers to improve the diagnostic and prognostic assessment of CxCa. In this study, eight different gene expression data sets containing 202 cancer, 115 cervical intraepithelial neoplasia (CIN), and 105 normal samples were utilized for an integrative systems biology assessment in a multi-stage carcinogenesis manner. Deep learning-based diagnostic models were established based on the genetic panels of intrinsic genes of cervical carcinogenesis as well as on the unbiased variable selection approach. Survival analysis was also conducted to explore the potential biomarker candidates for prognostic assessment. Our results showed that cell cycle, RNA transport, mRNA surveillance, and one carbon pool by folate were the key regulatory mechanisms involved in the initiation, progression, and metastasis of CxCa. Various genetic panels combined with machine learning algorithms successfully differentiated CxCa from CIN and normalcy in cross-study normalized data sets. In particular, the 168-gene deep learning model for the differentiation of cancer from normalcy achieved an externally validated accuracy of 97.96% (99.01% sensitivity and 95.65% specificity). Survival analysis revealed that ZNF281 and EPHB6 were the two most promising prognostic genetic markers for CxCa among others. Our findings open new opportunities to enhance current understanding of the characteristics of CxCa pathobiology. In addition, the combination of transcriptomics-based signatures and deep learning classification may become an important approach to improve CxCa diagnosis and management in clinical practice.

A Study of Autonomy English Learning on the Internet

Science.gov (United States)

Zhong, Yunsheng

2008-01-01

With the variety of environment and method of English learning, Autonomy English learning on the Internet is playing a more and more important role in modern English learning. It challenges the traditional learning approach, and also is forwardness. This paper points out that autonomy English learning on the Internet facilitates the improvement of…

On Cafesat: A Modern SAT Solver for Scala

OpenAIRE

Blanc, Régis William

2013-01-01

We present CafeSat, a SAT solver written in the Scala programming language. CafeSat is a modern solver based on DPLL and featuring many state-of-the-art techniques and heuristics. It uses two-watched literals for Boolean constraint propagation, conflict-driven learning along with clause deletion, a restarting strategy, and the VSIDS heuristics for choosing the branching literal. CafeSat is both sound and complete. In order to achieve reasonnable performances, low level and hand-tuned data ...

Selected topics from classical bacterial genetics.

Science.gov (United States)

Raleigh, Elisabeth A; Elbing, Karen; Brent, Roger

2002-08-01

Current cloning technology exploits many facts learned from classical bacterial genetics. This unit covers those that are critical to understanding the techniques described in this book. Topics include antibiotics, the LAC operon, the F factor, nonsense suppressors, genetic markers, genotype and phenotype, DNA restriction, modification and methylation and recombination.

Genetics education in the nursing profession: literature review.

Science.gov (United States)

Burke, Sarah; Kirk, Maggie

2006-04-01

This paper reports a literature review exploring genetics education for nursing professionals. The aim was to contribute to the debate about the future direction of such education. Advances in genetics science and technology have profound implications for health care and the growing importance and relevance of genetics for everyday nursing practice is increasingly recognized. A search was conducted in February 2005 using the CINAHL and Google Scholar databases and the keywords nurse, midwife, health visitor, education and genetics. Papers were included if they were published in English between 1994 and 2005 and included empirical data about genetics education in nursing. In addition, attempts were made to access the grey literature, with requests for information on research, for example, to members of the Association of Genetic Nurses and Counsellors and searches of relevant websites. Agreement on the relevance of genetics for nursing practice is extensive. Empirical evidence of the learning needs of practitioners highlights widespread deficits in knowledge and skills, and low confidence levels. Provision of nursing education in genetics is patchy and insubstantial across a number of countries, further hampered by lack of strategic development. Significant progress has been made in the identification of learning outcomes for nurses. Research on the delivery of genetics education is limited, but the role of skills-based training, use of clinical scenarios, and importance of assessment have all been identified as factors that can promote learning. Whilst areas of good performance were revealed, many studies identified gaps in professional competence and/or education. New initiatives are underway to support genetics education and its integration into professional practice, but further research is needed on the most effective forms of educational delivery, and an international collaborative approach to this should be considered.

A Comprehensive Analysis of High School Genetics Standards: Are States Keeping Pace with Modern Genetics?

Science.gov (United States)

Dougherty, M. J.; Pleasants, C.; Solow, L.; Wong, A.; Zhang, H.

2011-01-01

Science education in the United States will increasingly be driven by testing and accountability requirements, such as those mandated by the No Child Left Behind Act, which rely heavily on learning outcomes, or "standards," that are currently developed on a state-by-state basis. Those standards, in turn, drive curriculum and instruction.…

A genetic atlas of human admixture history.

Science.gov (United States)

Hellenthal, Garrett; Busby, George B J; Band, Gavin; Wilson, James F; Capelli, Cristian; Falush, Daniel; Myers, Simon

2014-02-14

Modern genetic data combined with appropriate statistical methods have the potential to contribute substantially to our understanding of human history. We have developed an approach that exploits the genomic structure of admixed populations to date and characterize historical mixture events at fine scales. We used this to produce an atlas of worldwide human admixture history, constructed by using genetic data alone and encompassing over 100 events occurring over the past 4000 years. We identified events whose dates and participants suggest they describe genetic impacts of the Mongol empire, Arab slave trade, Bantu expansion, first millennium CE migrations in Eastern Europe, and European colonialism, as well as unrecorded events, revealing admixture to be an almost universal force shaping human populations.

Er Rousseau moderne?

DEFF Research Database (Denmark)

Dupont, Søren

1985-01-01

Artiklen analyserer på hvilken måde Rousseau kan siges at være moderne, og den diskuterer på hvilken måde Rouseau har været medvirkende til at opbygge den moderne civilisation, og på hvilken måde han var kritisk i forhold til den gryende og moderne kapitalisme.......Artiklen analyserer på hvilken måde Rousseau kan siges at være moderne, og den diskuterer på hvilken måde Rouseau har været medvirkende til at opbygge den moderne civilisation, og på hvilken måde han var kritisk i forhold til den gryende og moderne kapitalisme....

Machine Learning

CERN Multimedia

CERN. Geneva

2017-01-01

Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

Learning about Allergies

Science.gov (United States)

... Videos for Educators Search English Español Learning About Allergies KidsHealth / For Kids / Learning About Allergies What's in ... in the spring. Why Do Some Kids Get Allergies? People may be born with a genetic (say: ...

Supporting Professional Learning in a Massive Open Online Course

Science.gov (United States)

Milligan, Colin; Littlejohn, Allison

2014-01-01

Professional learning, combining formal and on the job learning, is important for the development and maintenance of expertise in the modern workplace. To integrate formal and informal learning, professionals have to have good self-regulatory ability. Formal learning opportunities are opening up through massive open online courses (MOOCs),…

Journal of Genetics | Indian Academy of Sciences

Indian Academy of Sciences (India)

... turned their backs on Britain and set off to India to offer their considerable scientific prestige, their inexhaustible organisational abilities,along with their leading Journal of Genetics, behind the efforts to build a 'modern', democratic India emerging out of the ashes of colonial rule. Haldane's support of independent India was ...

Formation of modern theoretical regulations about organization concerning management development

Directory of Open Access Journals (Sweden)

Zhalinska I.V.

2017-03-01

success; modern theoretical development offers a wide range of business concepts that don’t make a single system; traditional business concepts undergo considerable transformation; the modern science of management doesn’t offer a unified approach for learning and explanation of organizational processes. The results of the current study allow to come to the conclusion about the necessity to learn organizational processes as the entity of organization theory. The current research direction can be considered as the next stage in the development of the science of management after the potential of the previous stages is over. Organizations are becoming significant independent entities in outdoor environment but not one of the factors of economic efficiency.

Ancient DNA analysis of the oldest canid species from the Siberian Arctic and genetic contribution to the domestic dog.

Directory of Open Access Journals (Sweden)

Esther J Lee

Full Text Available Modern Arctic Siberia provides a wealth of resources for archaeological, geological, and paleontological research to investigate the population dynamics of faunal communities from the Pleistocene, particularly as the faunal material coming from permafrost has proven suitable for genetic studies. In order to examine the history of the Canid species in the Siberian Arctic, we carried out genetic analysis of fourteen canid remains from various sites, including the well-documented Upper Paleolithic Yana RHS and Early Holocene Zhokhov Island sites. Estimated age of samples range from as recent as 1,700 years before present (YBP to at least 360,000 YBP for the remains of the extinct wolf, Canis cf. variabilis. In order to examine the genetic affinities of ancient Siberian canids species to the domestic dog and modern wolves, we obtained mitochondrial DNA control region sequences and compared them to published ancient and modern canid sequences. The older canid specimens illustrate affinities with pre-domestic dog/wolf lineages while others appear in the major phylogenetic clades of domestic dogs. Our results suggest a European origin of domestic dog may not be conclusive and illustrates an emerging complexity of genetic contribution of regional wolf breeds to the modern Canis gene pool.

MEDICAL GENETICS AND ETHICS

Directory of Open Access Journals (Sweden)

Vladimir TRAJKOVSKI

1999-05-01

Full Text Available Fast development of medical genetics and it’s subdisciplines is noticed in last thirty years. Modern diagnostic methods made possible to establish human genome and its impairment. In human genetics, ethic is main principle in working. Ethic is science about biggest goodness for human or society, and its aim pro­tecting human health.Today's conditions for leaving and science development open a wide way for ethical approaches, but also for non-ethical manipulations with human even before his conception. We must keep to attitude that without law, with our behavior will must conduct our conscience. It is best to have neutral eugenetic attitude, which allows free ethical choice of each individual, in any case, for the well being of man.

E-Learning: Future of Education

OpenAIRE

SUMIT GOYAL

2012-01-01

This paper highlights the significance of E-learning in modern education and discusses its technical aspect, market, pros and cons, comparison with instructor led training and possibility of weather E-learning will replace the old classroom teaching. Presently the concept of E-learning is becoming very popular as the numbers of internet savvy users are increasing. E-learning gives the advantage of 24x7 and 365 days a year round access as compared to Instructor-Led Training, which is one time ...

Middle school students' learning about genetic inheritance through on-line scaffolding supports

Science.gov (United States)

Manokore, Viola

The main goal of school science is to enable learners to become scientifically literate through their participation in scientific discourses (McNeill & Krajcik, 2009). One of the key elements of scientific discourses is the ability to construct scientific explanations that consist of valid claims supported by appropriate evidence (e.g., McNeill & Krajcik, 2006, Sadler, 2004; Sandoval & Reiser, 2004). Curricula scaffolds may help students construct scientific explanations and achieve their learning goals. This dissertation study is part of a larger study designed to support fifth through seventh grade students' learning about genetic inheritance through curricula scaffolds. Seventh grade students in this study interacted with a Web Based Inquiry Science Environment (WISE) unit called "From Genotype to Phenotype" that had curricula scaffolds. Informed by the Scaffolded Knowledge Integration, two versions of the unit were developed around concepts on genetic inheritance. Version one of the units was explicit on explaining to students how to make a claim and support it with appropriate evidence. Although the science concepts covered were the same, Version two was not explicit on claims and evidence use. Embedded in the units were scaffolding supports in the form of prompts. This dissertation study explored students' responses to the scaffolding support prompts using a knowledge integration (KI) rubric as described by Linn and His (2000). Two teachers, each with about 150 students in five classes of about 25 each, participated in the study. Each teacher had three classes of students that received a version one and the other two classed received version two of "From Genotype to Phenotype" unit. Using the Statistical Package for Social Scientists (SPSS), I explored whether students' scores, as measured by the KI rubric, varied by the unit version the students received or by the teacher they had. The findings suggested that the two versions of the unit were equally

Pre-whaling genetic diversity and population ecology in eastern Pacific gray whales: insights from ancient DNA and stable isotopes.

Directory of Open Access Journals (Sweden)

S Elizabeth Alter

Full Text Available Commercial whaling decimated many whale populations, including the eastern Pacific gray whale, but little is known about how population dynamics or ecology differed prior to these removals. Of particular interest is the possibility of a large population decline prior to whaling, as such a decline could explain the ~5-fold difference between genetic estimates of prior abundance and estimates based on historical records. We analyzed genetic (mitochondrial control region and isotopic information from modern and prehistoric gray whales using serial coalescent simulations and Bayesian skyline analyses to test for a pre-whaling decline and to examine prehistoric genetic diversity, population dynamics and ecology. Simulations demonstrate that significant genetic differences observed between ancient and modern samples could be caused by a large, recent population bottleneck, roughly concurrent with commercial whaling. Stable isotopes show minimal differences between modern and ancient gray whale foraging ecology. Using rejection-based Approximate Bayesian Computation, we estimate the size of the population bottleneck at its minimum abundance and the pre-bottleneck abundance. Our results agree with previous genetic studies suggesting the historical size of the eastern gray whale population was roughly three to five times its current size.

Hereditary arrhythmias and cardiomyopathies: decision-making about genetic testing.

Science.gov (United States)

Louis, Clauden; Calamaro, Emily; Vinocur, Jeffrey M

2018-01-01

The modern field of clinical genetics has advanced beyond the traditional teachings familiar to most practicing cardiologists. Increased understanding of the roles of genetic testing may improve uptake and appropriateness of use. Clinical genetics has become integral to the management of patients with hereditary arrhythmia and cardiomyopathy diagnoses. Depending on the condition, genetic testing may be useful for diagnosis, prognosis, treatment, family screening, and reproductive planning. However, genetic testing is a powerful tool with potential for underuse, overuse, and misuse. In the absence of a substantial body of literature on how these guidelines are applied in clinical practice, we use a case-based approach to highlight key lessons and pitfalls. Importantly, in many scenarios genetic testing has become the standard of care supported by numerous class I recommendations; genetic counselors can improve accessibility to and appropriate use and application of testing. Optimal management of hereditary arrhythmias and cardiomyopathies incorporates genetic testing, applied as per consensus guidelines, with involvement of a multidisciplinary team.

Promoting Self-Directed Learning in Developing or Poorly Defined Subject Areas: A Problem-Based Course in Molecular Biology, Genetics, and Cancer.

Science.gov (United States)

Edmondson, Katherine M.

A new problem-based course in molecular biology, genetics, and cancer for first-year veterinary students was developed at the College of Veterinary Medicine at Cornell University (New York). The course was developed out of a desire to foster student-centered and lifelong learning and to integrate basic and clinical science knowledge despite a lack…

Mobile-Assisted Language Learning and Language Learner Autonomy

Science.gov (United States)

Lyddon, Paul

2016-01-01

In the modern age of exponential knowledge growth and accelerating technological development, the need to engage in lifelong learning is becoming increasingly urgent. Successful lifelong learning, in turn, requires learner autonomy, or "the capacity to take control of one's own learning" (Benson, 2011, p. 58), including all relevant…

Learning to argue as a biotechnologist: disprivileging opposition to genetically modified food

Science.gov (United States)

Solli, Anne; Bach, Frank; Åkerman, Björn

2014-03-01

In the public discussion of genetically modified (GM) food the representations of science as a social good, conducted in the public interest to solve major problems are being subjected to intense scrutiny and questioning. Scientists working in these areas have been seen to struggle for the position of science in society. However few in situ studies of how the debate about science appears in learning situations at the university level have been undertaken. In the present study an introductory course in biotechnology was observed during one semester, lectures and small group supervision concerning GM food were videotaped and student's reports on the issue were collected. The ethnographic approach to Discourse analysis was conducted by means of a set of carefully selected and representative observations of how a group of students learn to argue and appropriate views held in the Discourse they are enculturated into. While socio-scientific issues (SSIs) are often associated with achieving scientific literacy in terms of "informed decisions" involving "rational thought and Discourse" this study shows that SSI in practice, in the context studied here, is primarily concerned with using scientific language to privilege professional understandings of GMOs and discredit public worries and concerns. Scientific claims were privileged over ethical, economical and political claims which were either made irrelevant or rebutted. The students were seen to appropriate a Discourse model held in the biotechnological community that public opposition towards GMO is due to "insufficient knowledge". The present study offers insights into biotechnology students' decision making regarding socio-scientific issues, while also demonstrating the utility of Discourse analysis for understanding learning in this university context. Implications for reflection on the institutional Discourse of science and teaching of controversial issues in science are drawn and the study contributes to the

Exploring the Y Chromosomal Ancestry of Modern Panamanians.

Directory of Open Access Journals (Sweden)

Viola Grugni

Full Text Available Geologically, Panama belongs to the Central American land-bridge between North and South America crossed by Homo sapiens >14 ka ago. Archaeologically, it belongs to a wider Isthmo-Colombian Area. Today, seven indigenous ethnic groups account for 12.3% of Panama's population. Five speak Chibchan languages and are characterized by low genetic diversity and a high level of differentiation. In addition, no evidence of differential structuring between maternally and paternally inherited genes has been reported in isthmian Chibchan cultural groups. Recent data have shown that 83% of the Panamanian general population harbour mitochondrial DNAs (mtDNAs of Native American ancestry. Considering differential male/female mortality at European contact and multiple degrees of geographical and genetic isolation over the subsequent five centuries, the Y-chromosome Native American component is expected to vary across different geographic regions and communities in Panama. To address this issue, we investigated Y-chromosome variation in 408 modern males from the nine provinces of Panama and one indigenous territory (the comarca of Kuna Yala. In contrast to mtDNA data, the Y-chromosome Native American component (haplogroup Q exceeds 50% only in three populations facing the Caribbean Sea: the comarca of Kuna Yala and Bocas del Toro province where Chibchan languages are spoken by the majority, and the province of Colón where many Kuna and people of mixed indigenous-African-and-European descent live. Elsewhere the Old World component is dominant and mostly represented by western Eurasian haplogroups, which signal the strong male genetic impact of invaders. Sub-Saharan African input accounts for 5.9% of male haplotypes. This reflects the consequences of the colonial Atlantic slave trade and more recent influxes of West Indians of African heritage. Overall, our findings reveal a local evolution of the male Native American ancestral gene pool, and a strong but

E-LEARNING INNOVATIONS IN HIGHER EDUCATION

Directory of Open Access Journals (Sweden)

NICOLETA GUDANESCU

2012-05-01

Full Text Available This scientific work is presenting the ways to do computer assisted education for students, giving the good practice examples, presenting new electronic learning systems, the advantages and limits and to try to emphasize that these days E-learning is one of the most efficient way to reach education at all levels, specially higher education systems. The objectives of this paper are: to explain the contribution of modern technologies and electronic systems to educational processes, to define the concept of technology based learning, to introduce the electronic tools for education, to present good practice examples in implementing E-learning systems in higher education and corporate environment in Romania and last but not least the new electronic learning systems. Introducing the computers and ITC in educational processes facilitates them and makes the educational system modern and efficient. E - learning innovations offers a core group of professional development courses designed to help anyone achieve professional advancement and personal enrichment. The programs are founded on an extensive experience and understanding of technology-based learning environments. They focus on the most current industry practices for various learning environments and best approaches for multiple learning styles. They ensure that the students get the information and skills needed to achieve more in teaching practice and to confidently enter the distance or online classroom.

Burnout and quality of life among orthopaedic trainees in a modern educational programme

NARCIS (Netherlands)

van Vendeloo, S. N.; Brand, P. L. P.; Verheyen, C. C. P. M.

We aimed to determine quality of life and burnout among Dutch orthopaedic trainees following a modern orthopaedic curriculum, with strict compliance to a 48-hour working week. We also evaluated the effect of the clinical climate of learning on their emotional wellbeing. We assessed burnout, quality

Do the Modern Neurosciences Call for a New Model of Organizational Cognition?

Science.gov (United States)

Seni, Dan Alexander

2012-01-01

Our purpose in this paper is to try to make a significant contribution to the analysis of cognitive capabilities of the organization of active social systems such as the business enterprise by re-examining the concepts of organizational intelligence, organizational memory and organizational learning in light of the findings of modern neuroscience.…

Lifelong learning and special libraries

OpenAIRE

Marjeta Oven; Vlasta Zabukovec

2005-01-01

Lifelong learning is becoming an important part in the development of modern society.In the lifelong learning society endeavours are being made for the education of all individuals regardless of their social and/or economic background. Lifelong learning should,therefore, be regarded as a permanent activity and as such, a significant element of socialization, inspired by common values. It represents a dynamic interaction with cultural, working and social environment. In this respect, the role ...

ICT AND MODERN FOREIGN LANGUAGES: LEARNING OPPORTUNITIES AND TRAINING NEEDS

Directory of Open Access Journals (Sweden)

Graham Davies

2002-06-01

Full Text Available This article is divided into two main sections. The first section considers why technology has not lived up to its expectations in bringing about improvements in language learning. Many learning opportunities are offered by new technologies but they are not fully exploited, mainly owing to the lack of relevant training offered to teachers. In addition, with the advent of the Web, there is a disturbing trend towards removing the teacher from the learning process - which is simply not acceptable. The second section of the article looks at a website that offers a considerable volume of ICT training materials or language teachers, namely the ICT4LT website: http://www.ict4lt.org. The author examines the aims behind the site as a whole and the pattern of site visits, discussing the key issues and drawing conclusions based on an analysis of the pattern of visits to different modules of the site. Some important lessons have been learned regarding the type of training that teachers appear to need, for example: the continued interest in multimedia and the high demand for introductory courses. It is also evident that Web traffic is predominantly one-way and confined to certain sectors of the world, indicating that much more has to be done in order to stimulate discussion and to make the Web accessible to underserved regions of the world.

An investigation of genetic algorithms

International Nuclear Information System (INIS)

Douglas, S.R.

1995-04-01

Genetic algorithms mimic biological evolution by natural selection in their search for better individuals within a changing population. they can be used as efficient optimizers. This report discusses the developing field of genetic algorithms. It gives a simple example of the search process and introduces the concept of schema. It also discusses modifications to the basic genetic algorithm that result in species and niche formation, in machine learning and artificial evolution of computer programs, and in the streamlining of human-computer interaction. (author). 3 refs., 1 tab., 2 figs

Genetic attack on neural cryptography.

Science.gov (United States)

Ruttor, Andreas; Kinzel, Wolfgang; Naeh, Rivka; Kanter, Ido

2006-03-01

Different scaling properties for the complexity of bidirectional synchronization and unidirectional learning are essential for the security of neural cryptography. Incrementing the synaptic depth of the networks increases the synchronization time only polynomially, but the success of the geometric attack is reduced exponentially and it clearly fails in the limit of infinite synaptic depth. This method is improved by adding a genetic algorithm, which selects the fittest neural networks. The probability of a successful genetic attack is calculated for different model parameters using numerical simulations. The results show that scaling laws observed in the case of other attacks hold for the improved algorithm, too. The number of networks needed for an effective attack grows exponentially with increasing synaptic depth. In addition, finite-size effects caused by Hebbian and anti-Hebbian learning are analyzed. These learning rules converge to the random walk rule if the synaptic depth is small compared to the square root of the system size.

Genetic attack on neural cryptography

International Nuclear Information System (INIS)

Ruttor, Andreas; Kinzel, Wolfgang; Naeh, Rivka; Kanter, Ido

2006-01-01

Different scaling properties for the complexity of bidirectional synchronization and unidirectional learning are essential for the security of neural cryptography. Incrementing the synaptic depth of the networks increases the synchronization time only polynomially, but the success of the geometric attack is reduced exponentially and it clearly fails in the limit of infinite synaptic depth. This method is improved by adding a genetic algorithm, which selects the fittest neural networks. The probability of a successful genetic attack is calculated for different model parameters using numerical simulations. The results show that scaling laws observed in the case of other attacks hold for the improved algorithm, too. The number of networks needed for an effective attack grows exponentially with increasing synaptic depth. In addition, finite-size effects caused by Hebbian and anti-Hebbian learning are analyzed. These learning rules converge to the random walk rule if the synaptic depth is small compared to the square root of the system size

Genetic attack on neural cryptography

Science.gov (United States)

Ruttor, Andreas; Kinzel, Wolfgang; Naeh, Rivka; Kanter, Ido

2006-03-01

Different scaling properties for the complexity of bidirectional synchronization and unidirectional learning are essential for the security of neural cryptography. Incrementing the synaptic depth of the networks increases the synchronization time only polynomially, but the success of the geometric attack is reduced exponentially and it clearly fails in the limit of infinite synaptic depth. This method is improved by adding a genetic algorithm, which selects the fittest neural networks. The probability of a successful genetic attack is calculated for different model parameters using numerical simulations. The results show that scaling laws observed in the case of other attacks hold for the improved algorithm, too. The number of networks needed for an effective attack grows exponentially with increasing synaptic depth. In addition, finite-size effects caused by Hebbian and anti-Hebbian learning are analyzed. These learning rules converge to the random walk rule if the synaptic depth is small compared to the square root of the system size.

CRITICAL ANALYSIS OF THE IMPACT OF MODERN TECHNOLOGY ON STUDENTS SOCIAL RELATIONSHIPS IN KENYAN SCHOOLS

OpenAIRE

Joseph Muema Kalungu; Ruth W. Thinguri

2017-01-01

Modern technology has hit the world with a bug and Kenya has not been spared. Modern technology devices and applications use has gone up tremendously in last ten years with the adoption by both the young and the old growing day by day. People have incorporated technology in the way they communicate, entertain, learn and even how they socially relate with one another. Such a massive technology has brought with it challenges and opportunities. This study was aimed at critically analyzing impact...

Optimizing learning path selection through memetic algorithms

NARCIS (Netherlands)

Acampora, G.; Gaeta, M.; Loia, V.; Ritrovato, P.; Salerno, S.

2008-01-01

e-Learning is a critical support mechanism for industrial and academic organizations to enhance the skills of employees and students and, consequently, the overall competitiveness in the new economy. The remarkable velocity and volatility of modern knowledge require novel learning methods offering

Syphilis: using modern approaches to understand an old disease

Science.gov (United States)

Ho, Emily L.; Lukehart, Sheila A.

2011-01-01

Syphilis is a fascinating and perplexing infection, with protean clinical manifestations and both diagnostic and management ambiguities. Treponema pallidum subsp. pallidum, the agent of syphilis, is challenging to study in part because it cannot be cultured or genetically manipulated. Here, we review recent progress in the application of modern molecular techniques to understanding the biological basis of this multistage disease and to the development of new tools for diagnosis, for predicting efficacy of treatment with alternative antibiotics, and for studying the transmission of infection through population networks. PMID:22133883

The Etruscans: a population-genetic study

DEFF Research Database (Denmark)

Vernesi, Cristiano; Caramelli, David; Dupanloup, Isabelle

2004-01-01

The origins of the Etruscans, a non-Indo-European population of preclassical Italy, are unclear. There is broad agreement that their culture developed locally, but the Etruscans' evolutionary and migrational relationships are largely unknown. In this study, we determined mitochondrial DNA sequences...... a culture but also a mitochondrial gene pool. Genetic distances and sequence comparisons show closer evolutionary relationships with the eastern Mediterranean shores for the Etruscans than for modern Italian populations. All mitochondrial lineages observed among the Etruscans appear typically European...... or West Asian, but only a few haplotypes were found to have an exact match in a modern mitochondrial database, raising new questions about the Etruscans' fate after their assimilation into the Roman state....

A genetic atlas of human admixture history

Science.gov (United States)

Hellenthal, Garrett; Busby, George B.J.; Band, Gavin; Wilson, James F.; Capelli, Cristian

2014-01-01

Modern genetic data combined with appropriate statistical methods have the potential to contribute substantially to our understanding of human history. We have developed an approach that exploits the genomic structure of admixed populations to date and characterize historical mixture events at fine scales. We used this to produce an atlas of worldwide human admixture history, constructed using genetic data alone and encompassing over 100 events occurring over the past 4,000 years. We identify events whose dates and participants suggest they describe genetic impacts of the Mongol Empire, Arab slave trade, Bantu expansion, first millennium CE migrations in eastern Europe, and European colonialism, as well as unrecorded events, revealing admixture to be an almost universal force shaping human populations. PMID:24531965

Retrospective and modern views on modernization and alternative modernization components of shinto and zen buddhism

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Y. Y. Medviedieva

2016-03-01

Full Text Available The article is devoted to the ratio of modernization and counter modernizing key components of Japan and religions (partly introduced Christianity. The author concludes that the various components of the religious consciousness of the Japanese were kontratetycal on two main elements that form the basis of modern Western culture Japanese resistance and cause upgrade. First, science and technology, working on the basis of the laws of nature, which are opposed to the supernatural and the metaphysical world. Secondly, expressed individualism and atomism as hypertrophic respect for the human person, liberal nadzoseredzhenist to a person who undermines the consolidation of corporate social society. Japanese culture in the past was oriented toward modernization, but progress has been very slow. Moreover, in this process, Japan was much more conservative because in Japanese society regulatory institutions of the army, religion and industrial corporations can be considered a kind of constants which not only can be adapted to the modernization of Euro-American style, as suggested selection of authentic script compatible, especially with life values corporatism and solidarity. It is in this dimension of modernization projects related to Christian proselytism, as were «frustrated.» The reason for this breakdown can be considered inherence religion with social cohesion, its actual merging of social institutions, as well as hidden mahizm skepticism and religious outlook that combines Shinto, Confucian and Zen Buddhist elements. Since modernization in Christianity included the distinction darkened minds clerical era and «enlightened enlightenment» of consciousness era of modern times, it is this dichotomy allowed to oppose religious «ignorance» and scientific «enlightenment», the clergy and secular intellectuals, universities and intellectual clubs as a medium spreading the ideology of the bourgeoisie and monasteries as centers of religious clericalism

Learning from Beirut: From Modernism to Contemporary Architecture

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Elle G. Haddad

2012-10-01

Full Text Available This paper will discuss the developments in architecture in Lebanon in the second half of the Twentieth century. Lebanon presents one of the interesting ‘laboratories’ of the different tendencies and movements of this pastcentury, beginning with Modernism and its gradual assimilation, to Postmodernism and more current trends,in a context that presents a fertile field for experimentation. The questions of meaning, context, relations to place and tradition, have all played a part in the development ofarchitecture in Lebanon, without necessarily achieving their desired goals, especially in the current climate of globalization. The loss of material identity that many regions around the world have experienced is reflected in the case of Lebanon, exacerbated here by political and social conflicts. This paper argues that the attempts to reinject material forms with a measure of ‘communicative’ symbols or forms fails in the end to answer to this perpetual desire for ‘identity’.

Late-Modern Symbolism

DEFF Research Database (Denmark)

Andersen, Bjørn Schiermer

2015-01-01

Through analysis of key texts, I seek to demonstrate the explanative potential of Durkheim’s sociology of religion in the present context. I critically readdress the idea, found in his early work, that modernity is characterized by a rupture with pre-modern forms of solidarity. First, I investigate...... the ways in which Durkheim sets up a stark distinction between the pre-modern and the modern in his early work, and how this distinction is further cemented by his orthodox critique of the modern economy and its negative effects on social life. Second, I show how another timeless and positive understanding...... of “mechanical” solidarity is to be found behind the “symbolist” template crystalizing in Durkheim’s late work. Third, I develop this template for a modern context by critically addressing and removing other obstacles and prejudices on Durkheim’s part....

Language and Content in the Modern Foreign Languages Degree: A Students' Perspective

Science.gov (United States)

Gieve, Simon; Cunico, Sonia

2012-01-01

This paper reports on a small-scale qualitative study of students' experience of their Modern Foreign Languages (MFL) degrees with particular regard to the relationship between language and content learning. It is framed by the identification in the recent Worton Report on MFL studies in UK higher education and elsewhere of a dualism between…

Model of Students’ Academic and Non-Academic Behaviours in Improving Learning Achievement and Discipline at Nurul ‘Ulum Modern Pesantren in Malang

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Binti Maunah

2016-12-01

Full Text Available This research is aimed at describing academic and non-academic behaviours that influence students’ achievements and discipline. This research used qualitative method. The data was collected by using two main methods: participative observation and deep interview. There were four steps to analyze the data: data collection, data filter, data classification, and conclusion. Based on the result of the research and the discussion, it can be concluded that : 1. Generally, students have very good academic behaviours during learning process inside and outside the class, 2. Most of the students master English and Arabic skill in which it becomes the most prominent academic behaviour in modern pesantren, 3. Academic behaviours to improve opportunity and learning achievement were conducted by boarding system in which students don’t cook, don’t wash clothes, don’t bring cellphones, motorcycle, radio, TV, and other electronic tools, 4. Students perform very good non-academic behaviours in form of politeness to senior students and teachers, discipline and obey the rules of pesantren. It’s proved by no one is expelled from pesantren due to the violation of the rules of pesantren.

The Learning Organization and Some Other Modern Theories of Management

International Nuclear Information System (INIS)

Sugarman, Barry

2003-01-01

In the first part, Dr Sugarman reviewed several recent theories of management and their relevance to NPP management. These theories encompass basic aspects like bureaucracy, un-bureaucracy, quality and excellence, re-engineering, knowledge management, emotional intelligence and learning organisation. Dr Sugarman discussed evolution from the Old Paradigm (Bureaucracy) to the New One (Learning Organization), defining the main aspects of both models, that can be summarises primarily in regards to strategy and structure. In terms of strategy, the new paradigm moves away from being largely inflexible to a much more dynamic environment whereby innovation is encouraged as opposed to performing in the prescribed manner whether suitable or not. The structural changes in the new model are also evident. There has been a marked move away from a hierarchical 'top down' approach to a much flatter structure that encourages less empire building and more openness between teams of various. This ensures a much greater understanding by the whole organisation of what is happening. Dr Sugarman centred his talk on the new model and how this has affected the development of the current situation. The Learning Organisation, according to the definition of Peter Senge in The Fifth Discipline (1990), is an organisation where people continually expand their capacity to create results they truly desire, and where the people are continually learning how to learn together. The movements behind increasing quality introduced a new model into industry based on Production, where workers became responsible for quality assurance instead of quality controls being reviewed by inspectors. All the employees share responsibility for learning how to improve continuously. That means, complete involvement of all staff. Following on from this, the Quality Revolution made appearance and was driven by extra attention to the customer. Out-sourcing became common and the 'Internal customer' became more common. All

Genealogical relationships between early medieval and modern inhabitants of Piedmont.

Science.gov (United States)

Vai, Stefania; Ghirotto, Silvia; Pilli, Elena; Tassi, Francesca; Lari, Martina; Rizzi, Ermanno; Matas-Lalueza, Laura; Ramirez, Oscar; Lalueza-Fox, Carles; Achilli, Alessandro; Olivieri, Anna; Torroni, Antonio; Lancioni, Hovirag; Giostra, Caterina; Bedini, Elena; Pejrani Baricco, Luisella; Matullo, Giuseppe; Di Gaetano, Cornelia; Piazza, Alberto; Veeramah, Krishna; Geary, Patrick; Caramelli, David; Barbujani, Guido

2015-01-01

In the period between 400 to 800 AD, also known as the period of the Barbarian invasions, intense migration is documented in the historical record of Europe. However, little is known about the demographic impact of these historical movements, potentially ranging from negligible to substantial. As a pilot study in a broader project on Medieval Europe, we sampled 102 specimens from 5 burial sites in Northwestern Italy, archaeologically classified as belonging to Lombards or Longobards, a Germanic people ruling over a vast section of the Italian peninsula from 568 to 774. We successfully amplified and typed the mitochondrial hypervariable region I (HVR-I) of 28 individuals. Comparisons of genetic diversity with other ancient populations and haplotype networks did not suggest that these samples are heterogeneous, and hence allowed us to jointly compare them with three isolated contemporary populations, and with a modern sample of a large city, representing a control for the effects of recent immigration. We then generated by serial coalescent simulations 16 millions of genealogies, contrasting a model of genealogical continuity with one in which the contemporary samples are genealogically independent from the medieval sample. Analyses by Approximate Bayesian Computation showed that the latter model fits the data in most cases, with one exception, Trino Vercellese, in which the evidence was compatible with persistence up to the present time of genetic features observed among this early medieval population. We conclude that it is possible, in general, to detect evidence of genealogical ties between medieval and specific modern populations. However, only seldom did mitochondrial DNA data allow us to reject with confidence either model tested, which indicates that broader analyses, based on larger assemblages of samples and genetic markers, are needed to understand in detail the effects of medieval migration.

Genealogical relationships between early medieval and modern inhabitants of Piedmont.

Directory of Open Access Journals (Sweden)

Stefania Vai

Full Text Available In the period between 400 to 800 AD, also known as the period of the Barbarian invasions, intense migration is documented in the historical record of Europe. However, little is known about the demographic impact of these historical movements, potentially ranging from negligible to substantial. As a pilot study in a broader project on Medieval Europe, we sampled 102 specimens from 5 burial sites in Northwestern Italy, archaeologically classified as belonging to Lombards or Longobards, a Germanic people ruling over a vast section of the Italian peninsula from 568 to 774. We successfully amplified and typed the mitochondrial hypervariable region I (HVR-I of 28 individuals. Comparisons of genetic diversity with other ancient populations and haplotype networks did not suggest that these samples are heterogeneous, and hence allowed us to jointly compare them with three isolated contemporary populations, and with a modern sample of a large city, representing a control for the effects of recent immigration. We then generated by serial coalescent simulations 16 millions of genealogies, contrasting a model of genealogical continuity with one in which the contemporary samples are genealogically independent from the medieval sample. Analyses by Approximate Bayesian Computation showed that the latter model fits the data in most cases, with one exception, Trino Vercellese, in which the evidence was compatible with persistence up to the present time of genetic features observed among this early medieval population. We conclude that it is possible, in general, to detect evidence of genealogical ties between medieval and specific modern populations. However, only seldom did mitochondrial DNA data allow us to reject with confidence either model tested, which indicates that broader analyses, based on larger assemblages of samples and genetic markers, are needed to understand in detail the effects of medieval migration.

The genetic history of Ice Age Europe

DEFF Research Database (Denmark)

Fu, Qiaomei; Posth, Cosimo; Hajdinjak, Mateja

2016-01-01

Modern humans arrived in Europe ~45,000 years ago, but little is known about their genetic composition before the start of farming ~8,500 years ago. Here we analyse genome-wide data from 51 Eurasians from ~45,000–7,000 years ago. Over this time, the proportion of Neanderthal DNA decreased from 3–...... ~19,000 years ago. During the major warming period after ~14,000 years ago, a genetic component related to present-day Near Easterners became widespread in Europe. These results document how population turnover and migration have been recurring themes of European prehistory....

On Identities in Modern Networks

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Libor Polcak

2014-09-01

Full Text Available Communicating parties inside computer networks use different kind of identifiers. Some of these identifiers are stable, e.g., logins used to access a specific service, some are only temporary, e.g., dynamically assigned IP addresses. This paper tackles several challenges of lawful interception that emerged in modern networks. The main contribution is the graph model that links identities learnt from various sources distributed in a network. The inferred identities result into an interception of more detailed data in conformance with the issued court order. The approach deals with network address translation, short-lived identifiers and simultaneous usage of different identities. The approach was evaluated to be viable during real network testing based on various means to learn identities of users connected to a network.

Shaping modern nursing development in China before 1949

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Jiang Yuhong

2017-01-01

Full Text Available Nursing becoming a respectable, decent profession for educated Chinese women was a challenging undertaking. The early advancement of nursing in China was a collective effort of the missionary medicine, the private foundations, and the endurance, dedication and hardworking of the Chinese as well as foreign nurses. Western missionary introduced modern nursing in China and laid the preliminary foundation for its development, while the upgrading of nursing education from training to higher learning was a contribution by the School of Nursing Peking Union Medical College (PUMC, envisioned and supported by the China Medical Board. Its state-of-the-art and visionary education model, the high standard and the initiatives in public health nursing, and the heroic and patriotic military nursing created by the PUMC's outstanding graduates produced a cohort of leaders in nursing education and profession in China before 1949. All these efforts acting together shaped the modern nursing in China, leaving a great heritage to nursing education and practice to New China.

Plant regeneration and genetic transformation in Jatropha

KAUST Repository

Sujatha, M.

2012-07-01

Jatropha curcas, a non-edible oil bearing species with multiple uses, and considerable economic potential is emerging as a potential biofuel plant. The limited knowledge of this species, low and inconsistent yields, the narrow genetic variability, and vulnerability to insects and diseases are major constraints in successful cultivation of Jatropha as a biofuel crop. Hence, genetic improvement of Jatropha is essential by conventional and modern biotechnological tools to use as a viable alternative source of bio-diesel. Realising its potential as a bio-energy crop, in vitro regeneration methods have been established to meet the demand of large scale supply of superior clones, and also as a prelude for genetic improvement of the species through transgenic approaches. In this chapter, an overview of in vitro tissue culture and genetic transformation of Jatropha is discussed. © 2013 Springer Science+Business Media Dordrecht. All rights are reserved.

Early modern human dispersal from Africa: genomic evidence for multiple waves of migration.

Science.gov (United States)

Tassi, Francesca; Ghirotto, Silvia; Mezzavilla, Massimo; Vilaça, Sibelle Torres; De Santi, Lisa; Barbujani, Guido

2015-01-01

Anthropological and genetic data agree in indicating the African continent as the main place of origin for anatomically modern humans. However, it is unclear whether early modern humans left Africa through a single, major process, dispersing simultaneously over Asia and Europe, or in two main waves, first through the Arab Peninsula into southern Asia and Oceania, and later through a northern route crossing the Levant. Here, we show that accurate genomic estimates of the divergence times between European and African populations are more recent than those between Australo-Melanesia and Africa and incompatible with the effects of a single dispersal. This difference cannot possibly be accounted for by the effects of either hybridization with archaic human forms in Australo-Melanesia or back migration from Europe into Africa. Furthermore, in several populations of Asia we found evidence for relatively recent genetic admixture events, which could have obscured the signatures of the earliest processes. We conclude that the hypothesis of a single major human dispersal from Africa appears hardly compatible with the observed historical and geographical patterns of genome diversity and that Australo-Melanesian populations seem still to retain a genomic signature of a more ancient divergence from Africa.

Building (e-)learning bridges between Portugal and Turkey

OpenAIRE

Lencastre, José Alberto; Bronze, José Carlos; Ilin, Sukru Çetin; Özonur, Mesut

2014-01-01

E-Learning has revolutionized learning as we know it [1]. Shifting beyond traditional mode of education, e-Learning has become an advantage for all learners in general. Further, e-Learning also bridges the gap of learning across borders, emerging as the new paradigm of modern education [2]. With e-Learning, learners can have access to training in other universities and to academic resource materials from other countries, thereby broadening the knowledge base of students. Despite these promisi...

[Elucidation of key genes in sex determination in genetics teaching].

Science.gov (United States)

Li, Meng; He, Zhumei

2014-06-01

Sex is an important and complex feature of organisms, which is controlled by the genetic and environmental factors. The genetic factors, i.e., genes, are vital in sex determination. However, not all the related genes play the same roles, and some key genes play a vital role in the sex determination and differentiation. With the development of the modern genetics, a great progress on the key genes has been made in sex determination. In this review, we summarize the mechanism of sex determination and the strategy of how to study the key genes in sex determination. It will help us to understand the mechanism of sex determination better in the teaching of genetics.

Educational Modes of Thinking in Neo-Confucianism: A Traditional Lens for Rethinking Modern Education

Science.gov (United States)

Hwang, Keumjoong

2013-01-01

This article discusses the distinctive educational modes of thinking in Neo-Confucianism, with an interest of extracting Confucian reflective views for modern education of traditionally Confucian East Asia. Neo-Confucian typical modes of thinking on education are characterized as "heart-mind centered" and "learning as…

Distance learning

Directory of Open Access Journals (Sweden)

Katarina Pucelj

2006-12-01

Full Text Available I would like to underline the role and importance of knowledge, which is acquired by individuals as a result of a learning process and experience. I have established that a form of learning, such as distance learning definitely contributes to a higher learning quality and leads to innovative, dynamic and knowledgebased society. Knowledge and skills enable individuals to cope with and manage changes, solve problems and also create new knowledge. Traditional learning practices face new circumstances, new and modern technologies appear, which enable quick and quality-oriented knowledge implementation. The centre of learning process at distance learning is to increase the quality of life of citizens, their competitiveness on the workforce market and ensure higher economic growth. Intellectual capital is the one, which represents the biggest capital of each society and knowledge is the key factor for succes of everybody, who are fully aware of this. Flexibility, openness and willingness of people to follow new IT solutions form suitable environment for developing and deciding to take up distance learning.

Origin of clothing lice indicates early clothing use by anatomically modern humans in Africa.

Science.gov (United States)

Toups, Melissa A; Kitchen, Andrew; Light, Jessica E; Reed, David L

2011-01-01

Clothing use is an important modern behavior that contributed to the successful expansion of humans into higher latitudes and cold climates. Previous research suggests that clothing use originated anywhere between 40,000 and 3 Ma, though there is little direct archaeological, fossil, or genetic evidence to support more specific estimates. Since clothing lice evolved from head louse ancestors once humans adopted clothing, dating the emergence of clothing lice may provide more specific estimates of the origin of clothing use. Here, we use a Bayesian coalescent modeling approach to estimate that clothing lice diverged from head louse ancestors at least by 83,000 and possibly as early as 170,000 years ago. Our analysis suggests that the use of clothing likely originated with anatomically modern humans in Africa and reinforces a broad trend of modern human developments in Africa during the Middle to Late Pleistocene.

Disclosure of selective advantages in the "modern" sublineage of the Mycobacterium tuberculosis Beijing genotype family by quantitative proteomics

NARCIS (Netherlands)

Keijzer, J. de; Haas, P.E. de; Ru, A.H. de; Veelen, P.A. van; Soolingen, D. van

2014-01-01

The Mycobacterium tuberculosis Beijing genotype, consisting of the more ancient (atypical) and modern (typical) emerging sublineage, is one of the most prevalent and genetically conserved genotype families and has often been associated with multidrug resistance. In this study, we employed a

Impact of Chaos Functions on Modern Swarm Optimizers.

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E Emary

Full Text Available Exploration and exploitation are two essential components for any optimization algorithm. Much exploration leads to oscillation and premature convergence while too much exploitation slows down the optimization algorithm and the optimizer may be stuck in local minima. Therefore, balancing the rates of exploration and exploitation at the optimization lifetime is a challenge. This study evaluates the impact of using chaos-based control of exploration/exploitation rates against using the systematic native control. Three modern algorithms were used in the study namely grey wolf optimizer (GWO, antlion optimizer (ALO and moth-flame optimizer (MFO in the domain of machine learning for feature selection. Results on a set of standard machine learning data using a set of assessment indicators prove advance in optimization algorithm performance when using variational repeated periods of declined exploration rates over using systematically decreased exploration rates.

Safety aspects of genetically modified crops with abiotic stress tolerance

NARCIS (Netherlands)

Liang, C.; Prins, T.W.; Wiel, van de C.C.M.; Kok, E.J.

2014-01-01

Abiotic stress, such as drought, salinity, and temperature extremes, significantly reduce crop yields. Hence, development of abiotic stress-tolerant crops by modern biotechnology may contribute to global food security. Prior to introducing genetically modified crops with abiotic stress tolerance to

Drought Tolerance in Modern and Wild Wheat

Science.gov (United States)

Budak, Hikmet; Kantar, Melda; Yucebilgili Kurtoglu, Kuaybe

2013-01-01

The genus Triticum includes bread (Triticum aestivum) and durum wheat (Triticum durum) and constitutes a major source for human food consumption. Drought is currently the leading threat on world's food supply, limiting crop yield, and is complicated since drought tolerance is a quantitative trait with a complex phenotype affected by the plant's developmental stage. Drought tolerance is crucial to stabilize and increase food production since domestication has limited the genetic diversity of crops including wild wheat, leading to cultivated species, adapted to artificial environments, and lost tolerance to drought stress. Improvement for drought tolerance can be achieved by the introduction of drought-grelated genes and QTLs to modern wheat cultivars. Therefore, identification of candidate molecules or loci involved in drought tolerance is necessary, which is undertaken by “omics” studies and QTL mapping. In this sense, wild counterparts of modern varieties, specifically wild emmer wheat (T. dicoccoides), which are highly tolerant to drought, hold a great potential. Prior to their introgression to modern wheat cultivars, drought related candidate genes are first characterized at the molecular level, and their function is confirmed via transgenic studies. After integration of the tolerance loci, specific environment targeted field trials are performed coupled with extensive analysis of morphological and physiological characteristics of developed cultivars, to assess their performance under drought conditions and their possible contributions to yield in certain regions. This paper focuses on recent advances on drought related gene/QTL identification, studies on drought related molecular pathways, and current efforts on improvement of wheat cultivars for drought tolerance. PMID:23766697

Drought Tolerance in Modern and Wild Wheat

Directory of Open Access Journals (Sweden)

Hikmet Budak

2013-01-01

Full Text Available The genus Triticum includes bread (Triticum aestivum and durum wheat (Triticum durum and constitutes a major source for human food consumption. Drought is currently the leading threat on world's food supply, limiting crop yield, and is complicated since drought tolerance is a quantitative trait with a complex phenotype affected by the plant's developmental stage. Drought tolerance is crucial to stabilize and increase food production since domestication has limited the genetic diversity of crops including wild wheat, leading to cultivated species, adapted to artificial environments, and lost tolerance to drought stress. Improvement for drought tolerance can be achieved by the introduction of drought-grelated genes and QTLs to modern wheat cultivars. Therefore, identification of candidate molecules or loci involved in drought tolerance is necessary, which is undertaken by “omics” studies and QTL mapping. In this sense, wild counterparts of modern varieties, specifically wild emmer wheat (T. dicoccoides, which are highly tolerant to drought, hold a great potential. Prior to their introgression to modern wheat cultivars, drought related candidate genes are first characterized at the molecular level, and their function is confirmed via transgenic studies. After integration of the tolerance loci, specific environment targeted field trials are performed coupled with extensive analysis of morphological and physiological characteristics of developed cultivars, to assess their performance under drought conditions and their possible contributions to yield in certain regions. This paper focuses on recent advances on drought related gene/QTL identification, studies on drought related molecular pathways, and current efforts on improvement of wheat cultivars for drought tolerance.

Enabling Problem Based Learning through Web 2.0 Technologies

DEFF Research Database (Denmark)

Tambouris, Efthimios; Panopoulou, Eleni; Tarabanis, Konstantinos

2012-01-01

of modern educational systems. Established pedagogical strategies, such as Problem Based Learning (PBL), are being adapted for online use in conjunction with modern Web 2.0 technologies and tools. However, even though Web 2.0 and progressive social-networking technologies are automatically associated......Advances in Information and Communications Technology (ICT), particularly the so-called Web 2.0, are affecting all aspects of our life: how we communicate, how we shop, how we socialise, and how we learn. Facilitating learning through the use of ICT, also known as eLearning, is a vital part...... with ideals such as collaboration, sharing, and active learning, it is also possible to use them in a very conservative, teacher-centred way limiting thus their impact. In this paper, we present a PBL 2.0 framework, i.e., a framework combining PBL practices with Web 2.0 technologies. More specifically, we (a...

Modernizing and transforming medical education at the Kilimanjaro Christian Medical University College.

Science.gov (United States)

Lisasi, Esther; Kulanga, Ahaz; Muiruri, Charles; Killewo, Lucy; Fadhili, Ndimangwa; Mimano, Lucy; Kapanda, Gibson; Tibyampansha, Dativa; Ibrahim, Glory; Nyindo, Mramba; Mteta, Kien; Kessi, Egbert; Ntabaye, Moshi; Bartlett, John

2014-08-01

The Kilimanjaro Christian Medical University (KCMU) College and the Medical Education Partnership Initiative (MEPI) are addressing the crisis in Tanzanian health care manpower by modernizing the college's medical education with new tools and techniques. With a $10 million MEPI grant and the participation of its partner, Duke University, KCMU is harnessing the power of information technology (IT) to upgrade tools for students and faculty. Initiatives in eLearning have included bringing fiber-optic connectivity to the campus, offering campus-wide wireless access, opening student and faculty computer laboratories, and providing computer tablets to all incoming medical students. Beyond IT, the college is also offering wet laboratory instruction for hands-on diagnostic skills, team-based learning, and clinical skills workshops. In addition, modern teaching tools and techniques address the challenges posed by increasing numbers of students. To provide incentives for instructors, a performance-based compensation plan and teaching awards have been established. Also for faculty, IT tools and training have been made available, and a medical education course management system is now being widely employed. Student and faculty responses have been favorable, and the rapid uptake of these interventions by students, faculty, and the college's administration suggests that the KCMU College MEPI approach has addressed unmet needs. This enabling environment has transformed the culture of learning and teaching at KCMU College, where a path to sustainability is now being pursued.

Hunter-gatherer genomic diversity suggests a southern African origin for modern humans.

Science.gov (United States)

Henn, Brenna M; Gignoux, Christopher R; Jobin, Matthew; Granka, Julie M; Macpherson, J M; Kidd, Jeffrey M; Rodríguez-Botigué, Laura; Ramachandran, Sohini; Hon, Lawrence; Brisbin, Abra; Lin, Alice A; Underhill, Peter A; Comas, David; Kidd, Kenneth K; Norman, Paul J; Parham, Peter; Bustamante, Carlos D; Mountain, Joanna L; Feldman, Marcus W

2011-03-29

Africa is inferred to be the continent of origin for all modern human populations, but the details of human prehistory and evolution in Africa remain largely obscure owing to the complex histories of hundreds of distinct populations. We present data for more than 580,000 SNPs for several hunter-gatherer populations: the Hadza and Sandawe of Tanzania, and the ≠Khomani Bushmen of South Africa, including speakers of the nearly extinct N|u language. We find that African hunter-gatherer populations today remain highly differentiated, encompassing major components of variation that are not found in other African populations. Hunter-gatherer populations also tend to have the lowest levels of genome-wide linkage disequilibrium among 27 African populations. We analyzed geographic patterns of linkage disequilibrium and population differentiation, as measured by F(ST), in Africa. The observed patterns are consistent with an origin of modern humans in southern Africa rather than eastern Africa, as is generally assumed. Additionally, genetic variation in African hunter-gatherer populations has been significantly affected by interaction with farmers and herders over the past 5,000 y, through both severe population bottlenecks and sex-biased migration. However, African hunter-gatherer populations continue to maintain the highest levels of genetic diversity in the world.

Use of genetic resources and partial resistances for apple breeding

OpenAIRE

Kellerhals, Markus; Duffy, Brion

2006-01-01

Modern apple breeding strategies are mainly considering the most advanced selections and culti-vars as parents. This tends to lead to a narrowed genetic basis. The introgression of traditional va-rieties and accessions of the gene pool is often feared due to undesirable characteristics that might be incorporated. However, there is scope for considering a wider genetic basis in apple breeding to support sustainable fruit production systems. The focus at Agroscope Changins-Wädenswil (ACW) is p...

Postmodernism in Belgrade architecture: Between cultural modernity and societal modernization

Directory of Open Access Journals (Sweden)

Blagojević Ljiljana

2011-01-01

Full Text Available The paper explores the introduction and articulation of ideas and aesthetic practice of postmodernism in architecture of late socialism in Yugoslavia, with the focus on Belgrade architecture scene. Theoretical and methodological point of departure of this analysis is Jürgen Habermas's thesis of modernity as an incomplete, i.e., unfinished project, from his influential essay “Die Moderne: Ein unvollendetes Projekt” (1980. The thematic framework of the paper is shifted towards issues raised by Habermas which concern relations of cultural modernity and societal modernization, or rather towards consideration of architectural postmodernity in relation to the split between culture and society. The paper investigates architectural discourse which was profiled in Belgrade in 1980s, in a historical context of cultural modernity simultaneous with Habermas's text, but in different conditions of societal modernization of Yugoslav late socialism. In that, the principle methodological question concerns the interpretation of postmodern architecture as part of the new cultural production within the social restructuration of late and/or end of socialism as a system, that being analogous to Fredric Jameson's thesis of “Postmodernism, Or, The Cultural Logic of Late Capitalism” (1984.

Basic prediction techniques in modern video coding standards

CERN Document Server

Kim, Byung-Gyu

2016-01-01

This book discusses in detail the basic algorithms of video compression that are widely used in modern video codec. The authors dissect complicated specifications and present material in a way that gets readers quickly up to speed by describing video compression algorithms succinctly, without going to the mathematical details and technical specifications. For accelerated learning, hybrid codec structure, inter- and intra- prediction techniques in MPEG-4, H.264/AVC, and HEVC are discussed together. In addition, the latest research in the fast encoder design for the HEVC and H.264/AVC is also included.

SUBJECT TEACHERS’ ICT COMPETENCE AS ESSENTIAL COMPONENT IN THE MODERN SPECIAL SCHOOLS

Directory of Open Access Journals (Sweden)

Zinaida O. Motylkova

2014-12-01

Full Text Available In the article there are analyzed causes that prevent schools and teachers to make full use of the opportunities that appear when using ICT. The subject teachers’ ICT competence is considered as a necessary component of modern school. The results of questionnaire of teachers’ interviews, discussions and active observations in Kyiv special residential schools (for people with hearing impairments are analyzed. It was concluded the relevance of systematic ICT inclusion in the learning process. Currently it becomes necessary to develop a system involving ICT training, purposeful preparation of teachers of special schools to use these technologies in the learning process.

Learning Music: Embodied Experience in the Life-World

Science.gov (United States)

Alerby, Eva; Ferm, Cecilia

2005-01-01

In the present age, which is often signified as post-modern or knowledge-intensive, the calls for learning echo loud. Discussions of learning, as well as teaching, permeate almost all levels and arenas of our society, and have a sure place in every-day conversation as well as scientific debate. The concept of learning can be understood and…

Application of case teaching in genetics courses to students majoring in forestry.

Science.gov (United States)

Wang, Qin-Mei; Cui, Jian-Guo; Yu, Chang-Zhi; Zhang, Zhi; Wu, Yue-Liang; Zhang, Li-Jie; Lin, Mei

2017-10-20

Undergraduate students majoring in forestry generally reflect that genetics is one of the most difficult compul-sory courses, because the traditional teaching method is difficult to satisfy their needs. According to the theoretical charac-teristics of forestry and actual demands of the students, in the light of teaching and research experience in recent years, we adopted a series of typical genetic cases such as 'opening coffin to identify relatives', stem-throne of Lycium ruthenicum Murr, and magic powers in Harry Potter. Our practices revealed that the case teaching in genetics could train good personality traits, learning abilities and creativity of the students, stimulate their interests and initiatives in learning, and increase systematic learning.

Recent Genetic Gains in Nitrogen Use Efficiency in Oilseed Rape

Science.gov (United States)

Stahl, Andreas; Pfeifer, Mara; Frisch, Matthias; Wittkop, Benjamin; Snowdon, Rod J.

2017-01-01

Nitrogen is essential for plant growth, and N fertilization allows farmers to obtain high yields and produce sufficient agricultural commodities. On the other hand, nitrogen losses potentially cause adverse effects to ecosystems and to human health. Increasing nitrogen use efficiency (NUE) is vital to solve the conflict between productivity, to secure the demand of a growing world population, and the protection of the environment. To ensure this, genetic improvement is considered to be a paramount aspect toward ecofriendly crop production. Winter oilseed rape (Brassica napus L.) is the second most important oilseed crop in the world and is cultivated in many regions across the temperate zones. To our knowledge, this study reports the most comprehensive field-based data generated to date for an empirical evaluation of genetic improvement in winter oilseed rape varieties under two divergent nitrogen fertilization levels (NFLs). A collection of 30 elite varieties registered between 1989 and 2014, including hybrids and open pollinated varieties, was tested in a 2-year experiment in 10 environments across Germany for changes in seed yield and seed quality traits. Furthermore, NUE was calculated. We observed a highly significant genetics-driven increase in seed yield per-se and, thus, increased NUE at both NFLs. On average, seed yield from modern open-pollinated varieties and modern hybrids was higher than from old open-pollinated varieties and old hybrids. The annual yield progress across all tested varieties was ~35 kg ha−1 year−1 at low nitrogen and 45 kg ha−1 year−1 under high nitrogen fertilization. Furthermore, in modern varieties an increased oil concentration and decreased protein concentration was observed. Despite, the significant effects of nitrogen fertilization, a surprisingly low average seed yield gap of 180 kg N ha−1 was noted between high and low nitrogen fertilization. Due to contrary effects of N fertilization on seed yield per-se and seed

Molecular genetics of dyslexia: an overview.

Science.gov (United States)

Carrion-Castillo, Amaia; Franke, Barbara; Fisher, Simon E

2013-11-01

Dyslexia is a highly heritable learning disorder with a complex underlying genetic architecture. Over the past decade, researchers have pinpointed a number of candidate genes that may contribute to dyslexia susceptibility. Here, we provide an overview of the state of the art, describing how studies have moved from mapping potential risk loci, through identification of associated gene variants, to characterization of gene function in cellular and animal model systems. Work thus far has highlighted some intriguing mechanistic pathways, such as neuronal migration, axon guidance, and ciliary biology, but it is clear that we still have much to learn about the molecular networks that are involved. We end the review by highlighting the past, present, and future contributions of the Dutch Dyslexia Programme to studies of genetic factors. In particular, we emphasize the importance of relating genetic information to intermediate neurobiological measures, as well as the value of incorporating longitudinal and developmental data into molecular designs. Copyright © 2013 John Wiley & Sons, Ltd.

Exploring e-learning knowledge through ontological memetic agents

NARCIS (Netherlands)

Acampora, G.; Gaeta, M.; Loia, V.

2010-01-01

E-Learning systems have proven to be fundamental in several areas of tertiary education and in business companies. There are many significant advantages for people who learn online such as convenience, portability, flexibility and costs. However, the remarkable velocity and volatility of modern

OPUS One: An Intelligent Adaptive Learning Environment Using Artificial Intelligence Support

Science.gov (United States)

Pedrazzoli, Attilio

2010-06-01

AI based Tutoring and Learning Path Adaptation are well known concepts in e-Learning scenarios today and increasingly applied in modern learning environments. In order to gain more flexibility and to enhance existing e-learning platforms, the OPUS One LMS Extension package will enable a generic Intelligent Tutored Adaptive Learning Environment, based on a holistic Multidimensional Instructional Design Model (PENTHA ID Model), allowing AI based tutoring and adaptation functionality to existing Web-based e-learning systems. Relying on "real time" adapted profiles, it allows content- / course authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy. The concept presented combines a personalized level of surveillance, learning activity- and learning path adaptation suggestions to ensure the students learning motivation and learning success. The OPUS One concept allows to implement an advanced tutoring approach combining "expert based" e-tutoring with the more "personal" human tutoring function. It supplies the "Human Tutor" with precise, extended course activity data and "adaptation" suggestions based on predefined subject matter rules. The concept architecture is modular allowing a personalized platform configuration.

Effects of a science education module on attitudes towards modern biotechnology of secondary school students

NARCIS (Netherlands)

Klop, T.; Severiens, S.E.; Knippels, M-C.P.J.; Mill, M.H.W.; ten Dam, G.T.M.

2010-01-01

This article evaluated the impact of a four‐lesson science module on the attitudes of secondary school students. This science module (on cancer and modern biotechnology) utilises several design principles, related to a social constructivist perspective on learning. The expectation was that the

Exploring Factors Affecting Users' Satisfaction toward E-Learning Systems

Science.gov (United States)

Hammouri, Qais; Abu-Shanab, Emad

2018-01-01

E-learning is emerging as the new phenomenon of modern education. Universities are adopting e-learning as a strategy for the improving the teaching/learning process. The primary question addressed in this paper is related to the factors influencing the adoption of e-learning. An integrated model was used to explore the factors influencing…

Genetics Home Reference: citrullinemia

Science.gov (United States)

... belongs to a class of genetic diseases called urea cycle disorders. Learn more about the genes associated with citrullinemia ... GeneReview: Citrin Deficiency GeneReview: Citrullinemia Type I GeneReview: Urea Cycle Disorders Overview MedlinePlus Encyclopedia: Hereditary Urea Cycle Abnormality National ...

Predicting genome-wide redundancy using machine learning

Directory of Open Access Journals (Sweden)

Shasha Dennis E

2010-11-01

Full Text Available Abstract Background Gene duplication can lead to genetic redundancy, which masks the function of mutated genes in genetic analyses. Methods to increase sensitivity in identifying genetic redundancy can improve the efficiency of reverse genetics and lend insights into the evolutionary outcomes of gene duplication. Machine learning techniques are well suited to classifying gene family members into redundant and non-redundant gene pairs in model species where sufficient genetic and genomic data is available, such as Arabidopsis thaliana, the test case used here. Results Machine learning techniques that combine multiple attributes led to a dramatic improvement in predicting genetic redundancy over single trait classifiers alone, such as BLAST E-values or expression correlation. In withholding analysis, one of the methods used here, Support Vector Machines, was two-fold more precise than single attribute classifiers, reaching a level where the majority of redundant calls were correctly labeled. Using this higher confidence in identifying redundancy, machine learning predicts that about half of all genes in Arabidopsis showed the signature of predicted redundancy with at least one but typically less than three other family members. Interestingly, a large proportion of predicted redundant gene pairs were relatively old duplications (e.g., Ks > 1, suggesting that redundancy is stable over long evolutionary periods. Conclusions Machine learning predicts that most genes will have a functionally redundant paralog but will exhibit redundancy with relatively few genes within a family. The predictions and gene pair attributes for Arabidopsis provide a new resource for research in genetics and genome evolution. These techniques can now be applied to other organisms.

Genetic counselors: translating genomic science into clinical practice

OpenAIRE

Bennett, Robin L.; Hampel, Heather L.; Mandell, Jessica B.; Marks, Joan H.

2003-01-01

In a time of emerging genetic tests and technologies, genetic counselors are faced with the challenge of translating complex genomic data into information that will aid their client’s ability to learn about, understand, make, and cope with decisions relating to genetic diagnoses. The first of two companion articles in this issue examines the role of the genetic counselor, particularly in counseling individuals at risk for or diagnosed with breast cancer, in an era of high-tech health care and...

Overcurrent protection co-ordination. A modern approach for modern devices

Energy Technology Data Exchange (ETDEWEB)

Hindle, P. [GEC Alsthom Engineering Systems Ltd., Whetstone (United Kingdom); Sanderson, J.V.H. [Power Engineering Consultants Ltd., Cheshire (United Kingdom)

1995-12-31

A modern approach to relay co-ordination that takes advantage of the improved performance of modern protective relays and circuits was proposed. The proposed method dealt with a mixture of new and old equipment and was most useful when implemented using common spreadsheet software. The suggested approach justified reduced time margins for relay co-ordination in many difficult applications. Other established approaches were reviewed. A discussion of fixed and variable time margin allowances was presented. The formulation of an equation to determine the required upstream relay operating time was explained, with sample calculations. Relay performance standards and modern protective equipment were discussed. It was concluded that modern relays and circuit breakers are much more advanced than designs of the recent past. The method described allowed significant reductions in margins which enabled modern relays to operate faster. While calculations for the procedures were said to be tedious to perform by hand, they can be easily done with spreadsheet software. 10 refs., 4 figs.

Developing education tailored to clinical roles: genetics education for haemophilia nurses.

Science.gov (United States)

Burke, Sarah; Barker, Colin; Marshall, Dianne

2012-01-01

Genetics is an important component of the clinical work of haemophilia nurses, but little was known about the genetic education needs of haemophilia nurses. To develop, deliver and evaluate genetic education for haemophilia nurses, based on clinical roles. Perceived relevance of genetics to haemophilia nursing practice was explored using electronic voting (response rate 75%, 58/77). A follow-on questionnaire to a volunteer sample of participants explored educational preferences (response rate 41%, 17/41). Results informed development of a two-hour genetics workshop session, evaluated by questionnaire (response rate 67%, 47/70). Genetic competences were considered relevant to the clinical practice of haemophilia nurses, and learning needs were identified. Preference was expressed for education focused on practical skills. During the subsequent workshop, participant confidence ratings significantly increased in the four areas addressed. Planned changes to clinical care and training were reported. Within new areas of advanced nursing practice, learning needs can be addressed by: identifying relevant clinical activities and associated learning needs; creating a strategy and resources using preferred forms of delivery; implementing the strategy; and evaluating its effect. This will enable development of education that addresses the real needs of practising nurses, grounded in their daily clinical practice. Copyright © 2011 Elsevier Ltd. All rights reserved.

Intellectual property right in genetic resources

Directory of Open Access Journals (Sweden)

Milošević Mirjana

2017-01-01

Full Text Available Plant genetic resources for food and agriculture are necessary in food production and biodiversity conservation. These are the most important natural resources, in addition to air, water and soil. Unfortunately, during the evolution large number of plant genetic resources has been lost. The biggest negative impact on loss of plant genetic resources had been made by humans through the modernization of agriculture and the creation of varieties of high genetic uniformity. FAO and its operation through international mechanisms, such as the adoption of the Convention on Biological Diversity, the first legal act which regulates all levels of biodiversity: ecosystems, species and genetic resources, biotechnology, including the Cartagena Protocol on Biosafety (regulates the transfer of genetic material across the border, contributed to the conservation of plant genetic resources for food and agriculture. In addition to the Convention on Biological Diversity, FAO has been defined by the International Treaty on Plant Genetic Resources for Food and Agriculture in more specific and detailed way, the preservation of genetic resources. The objectives of the International Treaty on Plant Genetic Resources for Food and Agriculture are the conservation and sustainable use of all plant genetic resources for food and agriculture and the fair and equitable sharing of the benefits arising out of their use. There are four basic pillars which form the substance of the Contract, Sustainable use of plant genetic resources, Farmers' Rights, the Multilateral System and the Global Information System. Two organizations, the International Biodiversity and the International Union for the Protection of New Varieties of Plants trying to solve the issues of protection of the population and old varieties as intellectual property.

Linking neurogenetics and individual differences in language learning: the dopamine hypothesis.

Science.gov (United States)

Wong, Patrick C M; Morgan-Short, Kara; Ettlinger, Marc; Zheng, Jing

2012-10-01

Fundamental advances in neuroscience have come from investigations into neuroplasticity and learning. These investigations often focus on identifying universal principles across different individuals of the same species. Increasingly, individual differences in learning success have also been observed, such that any seemingly universal principle might only be applicable to a certain extent within a particular learner. One potential source of this variation is individuals' genetic differences. Adult language learning provides a unique opportunity for understanding individual differences and genetic bases of neuroplasticity because of the large individual differences in learning success that have already been documented, and because of the body of empirical work connecting language learning and neurocognition. In this article, we review the literature on the genetic bases of neurocognition, especially studies examining polymorphisms of dopamine (DA)-related genes and procedural learning. This review leads us to hypothesize that there may be an association between DA-related genetic variation and language learning differences. If this hypothesis is supported by future empirical findings we suggest that it may point to neurogenetic markers that allow for language learning to be personalized. Copyright © 2012 Elsevier Srl. All rights reserved.

Managing modernization of nuclear power plant instrumentation and control systems

International Nuclear Information System (INIS)

2004-02-01

level, plant-wide perspective needed to initiate and foster the development of these strategic plans, plant specific guidelines and generic requirements and processes, and to ensure that individual I and C modernization projects conform to them. High level management is also essential for providing adequate resources for successful projects in terms of both people and finances. High level management attention is also necessary to define and assure proper interactions between the plant and regulators and suppliers. This attention is also essential to make sure that all stakeholders for a given project have input into the project. A valuable input to I and C modernization project is information on I and C modernization activities in other plants around the world. This report is one example of information available that has been collected through a network of I and C specialists connected to IAEA. There are several benefits of using this kind of information to support new I and C modernization projects. This information may for instance help in anticipating future problems, check approaches and solutions that other plants have used, to identify reasons for successes and failures in I and C modernization projects, to establish contacts with other I and C modernization projects to exchange lessons learned, and to help in identifying good solutions and avoiding possible pitfalls

Managing modernization of nuclear power plant instrumentation and control systems

Energy Technology Data Exchange (ETDEWEB)

NONE

2004-02-01

level, plant-wide perspective needed to initiate and foster the development of these strategic plans, plant specific guidelines and generic requirements and processes, and to ensure that individual I and C modernization projects conform to them. High level management is also essential for providing adequate resources for successful projects in terms of both people and finances. High level management attention is also necessary to define and assure proper interactions between the plant and regulators and suppliers. This attention is also essential to make sure that all stakeholders for a given project have input into the project. A valuable input to I and C modernization project is information on I and C modernization activities in other plants around the world. This report is one example of information available that has been collected through a network of I and C specialists connected to IAEA. There are several benefits of using this kind of information to support new I and C modernization projects. This information may for instance help in anticipating future problems, check approaches and solutions that other plants have used, to identify reasons for successes and failures in I and C modernization projects, to establish contacts with other I and C modernization projects to exchange lessons learned, and to help in identifying good solutions and avoiding possible pitfalls.

The use of genetically modified Saccharomyces cerevisiae strains in the wine industry.

Science.gov (United States)

Schuller, Dorit; Casal, Margarida

2005-08-01

In recent decades, science and food technology have contributed at an accelerated rate to the introduction of new products to satisfy nutritional, socio-economic and quality requirements. With the emergence of modern molecular genetics, the industrial importance of Saccharomyces cerevisiae, is continuously extended. The demand for suitable genetically modified (GM) S. cerevisiae strains for the biofuel, bakery and beverage industries or for the production of biotechnological products (e.g. enzymes, pharmaceutical products) will continuously grow in the future. Numerous specialised S. cerevisiae wine strains were obtained in recent years, possessing a wide range of optimised or novel oenological properties, capable of satisfying the demanding nature of modern winemaking practise. The unlocking of transcriptome, proteome and metabolome complexities will contribute decisively to the knowledge about the genetic make-up of commercial yeast strains and will influence wine strain improvement via genetic engineering. The most relevant advances regarding the importance and implications of the use of GM yeast strains in the wine industry are discussed in this mini-review. In this work, various aspects are considered including the strategies used for the construction of strains with respect to current legislation requirements, the environmental risk evaluations concerning the deliberate release of genetically modified yeast strains, the methods for detection of recombinant DNA and protein that are currently under evaluation, and the reasons behind the critical public perception towards the application of such strains.

Modern applied U-statistics

CERN Document Server

Kowalski, Jeanne

2008-01-01

A timely and applied approach to the newly discovered methods and applications of U-statisticsBuilt on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a "learn by example" approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research.The authors begin with an introduction of the essential and theoretical foundations of U-statistics such as the notion of convergence in probability and distribution, basic convergence results, stochastic Os, inference theory, generalized estimating equations, as well as the definition and asymptotic properties of U-statistics. With an emphasis on nonparametric applications when and where applic...

Contradictions porteñas: modernity, modernism and modernization in Jorge Luis Borges during the 1920’s

Directory of Open Access Journals (Sweden)

Pedro Demenech

2013-06-01

Full Text Available The aim of the article is discuss the concepts of modernity, modernism and modernization from the propositions raised by Marshal Berman and Néstor García Canclini. The fierce transformation of Buenos Aires during the 1920’s will be the focus of the analysis. To this end, we use the work of argentine poet Jorge Luis Borges to comprehend the development of these processes in the urban space of Buenos Aires.

Imagination and Modern Audio Visual Form

Directory of Open Access Journals (Sweden)

Ana Đurković

2017-09-01

Full Text Available Through three episodes Archetype of modern fairy tales, the mysterious world of fantasy and reality,tell as a serious story about archetypes, symbols, knowledge of good and evil. Rts editor: Natasa Neskovic Written and directed by: Suncica Jergovic Editing: Ana Djurkovic How to illuminate concept of phantasy and affective factors in our imagination a priori something so imaginary, by their genetic provenance, such as a movie scene, or digital picture and sound. You can not always avoid the association to a valid phrase of arnhajm’s truth: mass age -massage: the medium is the message. In elementary and tersely definition of „the shot“ from Plaževsky film language there is term for „le cadre“, however these are selected bits of reality, immanent frame that contains the individual act of images divided of the continent’s view of reality, handling the specific code of semantic value, when its’s imaginative, of course, by aesthetic categories and evaluations. In this type of positive simulacrum, it can not be better segment for the current thinking about the limits of imagination and truth in contemporary media, and contemporary global environment, than the original audio-visual forms through whose prism we search throught a fairy tale in a same time myth and imagination as well as exploring its overall impact on the personality. Everything can be a fairy tale, even false, amoral platitudes politicized by political lobbies in a contemporary existing power sistems, but this is no fairy tale authenticity in it, or creative act, nor humanity and artificial and historical entity of a man that is always present in the ethical effort of a true artist. So, we are investigating the conditions of creative images, modalities of audiovisual media in film language,and it is the archetype of the fairy tale, which, with its psychodynamics still exists and which is removed when the modern man is tired of lies and simulations during his global

Flipped learning: should it replace didactic learning?

Directory of Open Access Journals (Sweden)

Osman A

2017-10-01

Full Text Available Abdirahman Osman, Seyed Ramin Jalal, Saeed Azizi Faculty of Medicine, St George’s Hospital Medical School, London, UKWe read with great interest the article by Pettit et al1 on the implementation of flipped learning. We wish to offer our perspective as medical students. The study concluded that a combination of lecture-based teaching accompanied with flipped learning activities appealed to most students. We find this response unsurprising. Pettit et al’s1 article documents the reason – the need for a variation in teaching styles for different themes by millennial learners of the modern student community.View the original paper by Pettit and colleagues.  

Using pedagogical discipline representations (PDRs) to enable Astro 101 students to reason about modern astrophysics

Science.gov (United States)

Wallace, Colin Scott; Prather, Edward E.; Chambers, Timothy G.; Kamenetzky, Julia R.; Hornstein, Seth D.

2017-01-01

Instructors of introductory, college-level, general education astronomy (Astro 101) often want to include topics from the cutting-edge of modern astrophysics in their course. Unfortunately, the teaching of these cutting-edge topics is typically confined to advanced undergraduate or graduate classes, using representations (graphical, mathematical, etc.) that are inaccessible to the vast majority of Astro 101 students. Consequently, many Astro 101 instructors feel that they have no choice but to cover these modern topics at a superficial level. Pedagogical discipline representations (PDRs) are one solution to this problem. Pedagogical discipline representations are representations that are explicitly designed to enhance the teaching and learning of a topic, even though these representations may not typically be found in traditional textbooks or used by experts in the discipline who are engaged in topic-specific discourse. In some cases, PDRs are significantly simplified or altered versions of typical discipline representations (graphs, data tables, etc.); in others they may be novel and highly contextualized representations with unique features that purposefully engage novice learners’ pre-existing mental models and reasoning difficulties, facilitating critical discourse. In this talk, I will discuss important lessons that my colleagues and I have learned while developing PDRs and describe how PDRs can enable students to reason about complex modern astrophysical topics.

Lewis and Fischer 344 rats as a model for genetic differences in spatial learning and memory: Cocaine effects.

Science.gov (United States)

Fole, Alberto; Miguéns, Miguel; Morales, Lidia; González-Martín, Carmen; Ambrosio, Emilio; Del Olmo, Nuria

2017-06-02

Lewis (LEW) and Fischer 344 (F344) rats are considered a model of genetic vulnerability to drug addiction. We previously showed important differences in spatial learning and memory between them, but in contrast with previous experiments demonstrating cocaine-induced enhanced learning in Morris water maze (MWM) highly demanding tasks, the eight-arm radial maze (RAM) performance was not modified either in LEW or F344 rats after chronic cocaine treatment. In the present work, chronically cocaine-treated LEW and F344 adult rats have been evaluated in learning and memory performance using the Y-maze, two RAM protocols that differ in difficulty, and a reversal protocol that tests cognitive flexibility. After one of the RAM protocols, we quantified dendritic spine density in hippocampal CA1 neurons and compared it to animals treated with cocaine but not submitted to RAM. LEW cocaine treated rats showed a better performance in the Y maze than their saline counterparts, an effect that was not evident in the F344 strain. F344 rats significantly took more time to learn the RAM task and made a greater number of errors than LEW animals in both protocols tested, whereas cocaine treatment induced deleterious effects in learning and memory in the highly difficult protocol. Moreover, hippocampal spine density was cocaine-modulated in LEW animals whereas no effects were found in F344 rats. We propose that differences in addictive-like behavior between LEW and F344 rats could be related to differences in hippocampal learning and memory processes that could be on the basis of individual vulnerability to cocaine addiction. Copyright © 2017 Elsevier Inc. All rights reserved.

Explaining consumer attitudes to genetic modification in food production

DEFF Research Database (Denmark)

Bredahl, Lone

for explaining consumer attitudes to genetic modification in food production which builds on modern cognitive psychology and multi-attribute attitude theory. In addition, the paper introduces the empirical research which is undertaken at present to validate and estimate the parameters of the model by means......Consumers have not had many possibilities yet for seeking out, buying and consuming genetically modified food products. However, for various reasons consumer attitude formation with regard to these products is likely to be complex and closely related to personal values. The paper presents a model...

Incorporating comparative genomics into the design-test-learn cycle of microbial strain engineering.

Science.gov (United States)

Sardi, Maria; Gasch, Audrey P

2017-08-01

Engineering microbes with new properties is an important goal in industrial engineering, to establish biological factories for production of biofuels, commodity chemicals and pharmaceutics. But engineering microbes to produce new compounds with high yield remains a major challenge toward economically viable production. Incorporating several modern approaches, including synthetic and systems biology, metabolic modeling and regulatory rewiring, has proven to significantly advance industrial strain engineering. This review highlights how comparative genomics can also facilitate strain engineering, by identifying novel genes and pathways, regulatory mechanisms and genetic background effects for engineering. We discuss how incorporating comparative genomics into the design-test-learn cycle of strain engineering can provide novel information that complements other engineering strategies. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

learning environments and the learning proces of interaction

DEFF Research Database (Denmark)

Jørgensen, Christian Helms

2004-01-01

In recent years, learning in working life has been launched as an important approach in relation to the urgent need for competence-development in our modern knowledge society. But what does it mean in practice? What can and what cannot be learned on the job; what is learned better at courses......, and their results, findings and recommendations are summed up in this book. The book ranges from the background for this development, over general mapping of the area from social, learning and political angles, the development of an overview model and analysis of a wide variety of practical approaches...... to the concluding perspectives on a practical, a theoretical and a political level. On the practical level, the door is opened for close interaction between workplaces and educational organisers, and politically for broad cooperation between the state, the partners in the labour market, and educational institutions...

The Role of the Armys Sustainment Think Tank in Force Modernization

Science.gov (United States)

2016-05-17

The Role of the Army’s Sustainment Think Tank in Force Modernization  By William “Bill” Moore and Dr. Reginald L. Snell Basic Officer Leader...and doctrine that enable unified land operations in a complex world. CASCOM, as the Army’s sustain- ment think tank and premier sus- tainment...complex world. The command uses lessons gained from structured feedback initiatives like lessons learned programs, after-action re- views, studies

WEAK POINTS OF MODERN MUSICOLOGICAL EDUCATION IN THE REPUBLIC OF MOLDOVA

Directory of Open Access Journals (Sweden)

MIRONENCO ELENA

2017-06-01

Full Text Available The article reveals the specificity of the musicologist’s profession and its importance in high school musicology education. In order to improve it so that it could correspond to the modern level of education of the 21st century, the article emphasizes the negative aspects in training musicology students who appeared in the post-Soviet period, as well as after the transition to the Bologna Learning Process.

Ancient DNA from Giant Panda (Ailuropoda melanoleuca) of South-Western China Reveals Genetic Diversity Loss during the Holocene.

Science.gov (United States)

Sheng, Gui-Lian; Barlow, Axel; Cooper, Alan; Hou, Xin-Dong; Ji, Xue-Ping; Jablonski, Nina G; Zhong, Bo-Jian; Liu, Hong; Flynn, Lawrence J; Yuan, Jun-Xia; Wang, Li-Rui; Basler, Nikolas; Westbury, Michael V; Hofreiter, Michael; Lai, Xu-Long

2018-04-06

The giant panda was widely distributed in China and south-eastern Asia during the middle to late Pleistocene, prior to its habitat becoming rapidly reduced in the Holocene. While conservation reserves have been established and population numbers of the giant panda have recently increased, the interpretation of its genetic diversity remains controversial. Previous analyses, surprisingly, have indicated relatively high levels of genetic diversity raising issues concerning the efficiency and usefulness of reintroducing individuals from captive populations. However, due to a lack of DNA data from fossil specimens, it is unknown whether genetic diversity was even higher prior to the most recent population decline. We amplified complete cyt b and 12s rRNA, partial 16s rRNA and ND1 , and control region sequences from the mitochondrial genomes of two Holocene panda specimens. We estimated genetic diversity and population demography by analyzing the ancient mitochondrial DNA sequences alongside those from modern giant pandas, as well as from other members of the bear family (Ursidae). Phylogenetic analyses show that one of the ancient haplotypes is sister to all sampled modern pandas and the second ancient individual is nested among the modern haplotypes, suggesting that genetic diversity may indeed have been higher earlier during the Holocene. Bayesian skyline plot analysis supports this view and indicates a slight decline in female effective population size starting around 6000 years B.P., followed by a recovery around 2000 years ago. Therefore, while the genetic diversity of the giant panda has been affected by recent habitat contraction, it still harbors substantial genetic diversity. Moreover, while its still low population numbers require continued conservation efforts, there seem to be no immediate threats from the perspective of genetic evolutionary potential.

Ancient DNA from Giant Panda (Ailuropoda melanoleuca of South-Western China Reveals Genetic Diversity Loss during the Holocene

Directory of Open Access Journals (Sweden)

Gui-Lian Sheng

2018-04-01

Full Text Available The giant panda was widely distributed in China and south-eastern Asia during the middle to late Pleistocene, prior to its habitat becoming rapidly reduced in the Holocene. While conservation reserves have been established and population numbers of the giant panda have recently increased, the interpretation of its genetic diversity remains controversial. Previous analyses, surprisingly, have indicated relatively high levels of genetic diversity raising issues concerning the efficiency and usefulness of reintroducing individuals from captive populations. However, due to a lack of DNA data from fossil specimens, it is unknown whether genetic diversity was even higher prior to the most recent population decline. We amplified complete cytb and 12s rRNA, partial 16s rRNA and ND1, and control region sequences from the mitochondrial genomes of two Holocene panda specimens. We estimated genetic diversity and population demography by analyzing the ancient mitochondrial DNA sequences alongside those from modern giant pandas, as well as from other members of the bear family (Ursidae. Phylogenetic analyses show that one of the ancient haplotypes is sister to all sampled modern pandas and the second ancient individual is nested among the modern haplotypes, suggesting that genetic diversity may indeed have been higher earlier during the Holocene. Bayesian skyline plot analysis supports this view and indicates a slight decline in female effective population size starting around 6000 years B.P., followed by a recovery around 2000 years ago. Therefore, while the genetic diversity of the giant panda has been affected by recent habitat contraction, it still harbors substantial genetic diversity. Moreover, while its still low population numbers require continued conservation efforts, there seem to be no immediate threats from the perspective of genetic evolutionary potential.

Genetic trends in maternal and neonatal behaviors and their association with perinatal survival in French Large White swine

Directory of Open Access Journals (Sweden)

Laurianne eCanario

2014-12-01

Full Text Available Genetic trends in maternal abilities were studied in French Large White sows. Two lines representing old-type and modern-type pigs were obtained by inseminating modern sows with semen from boars born in 1977 or 1998. Successive generations were produced by inter-se mating. The maternal performance of sows from the second generation was compared in farrowing crates. Video analysis was performed for the 1st h after the onset of 43 and 36 farrowing events, and for the 6 first hours for 23 and 21 events, in old-type and modern-type sows respectively. Genetic trends were estimated as twice the difference in estimates between the 2 lines. The contribution of behavior to the probability of stillbirth and piglet death in the first 2 days was estimated as the percentage of deviance reduction (DR due to the addition of behavior traits as factors in the mortality model. Sow activity decreased strongly from the 1st to the 2nd h in both lines (P < 0.001. In the first 6 h, old-type sows sat (1st parity, stood (2nd parity and rooted (both parities for longer than modern-type sows, which were less active, especially in 2nd parity. In modern-type sows, stillbirth was associated positively with lying laterally in the first 6 h (4.6% DR and negatively in the 1st h (9.1% DR. First-parity old-type sows were more attentive to piglets (P = 0.003 than modern-type sows which responded more to nose contacts at 2nd parity (P = 0.01. Maternal reactivity of modern-type sows was associated with a higher risk of piglet death (4.6% DR. Respiratory distress at birth tended to be higher in modern-type piglets than in old-type piglets (P < 0.10 and was associated with a higher risk of piglet death in both lines (2.7% to 3.1% DR. Mobility at birth was lower in modern-type than old-type piglets (P<0.0001. Genetic trends show that sow and piglet behaviors at farrowing have changed. Our results indicate reduced welfare in parturient modern-type sows and their newborn piglets.

Nuclear weapons modernizations

Energy Technology Data Exchange (ETDEWEB)

Kristensen, Hans M. [Federation of American Scientists, Washington, DC (United States)

2014-05-09

This article reviews the nuclear weapons modernization programs underway in the world's nine nuclear weapons states. It concludes that despite significant reductions in overall weapons inventories since the end of the Cold War, the pace of reductions is slowing - four of the nuclear weapons states are even increasing their arsenals, and all the nuclear weapons states are busy modernizing their remaining arsenals in what appears to be a dynamic and counterproductive nuclear competition. The author questions whether perpetual modernization combined with no specific plan for the elimination of nuclear weapons is consistent with the nuclear Non-Proliferation Treaty and concludes that new limits on nuclear modernizations are needed.

Engaging nurses in genetics: the strategic approach of the NHS National Genetics Education and Development Centre.

Science.gov (United States)

Kirk, Maggie; Tonkin, Emma; Burke, Sarah

2008-04-01

The UK government announced the establishment of an NHS National Genetics Education and Development Centre in its Genetics White Paper. The Centre aims to lead and coordinate developments to enhance genetics literacy of health professionals. The nursing program takes a strategic approach based on Ajzen's Theory of Planned Behavior, using the UK nursing genetics competences as the platform for development. The program team uses innovative approaches to raise awareness of the relevance of genetics, working collaboratively with policy stakeholders, as key agents of change in promoting competence. Providing practical help in preparing learning and teaching resources lends further encouragement. Evaluation of the program is dependent on gathering baseline data, and the program has been informed by an education needs analysis. The challenges faced are substantial and necessitate international collaboration where expertise and resources can be shared to produce a global system of influence to facilitate the engagement of non-genetic nurses.

Self-enhancement learning: target-creating learning and its application to self-organizing maps.

Science.gov (United States)

Kamimura, Ryotaro

2011-05-01

In this article, we propose a new learning method called "self-enhancement learning." In this method, targets for learning are not given from the outside, but they can be spontaneously created within a neural network. To realize the method, we consider a neural network with two different states, namely, an enhanced and a relaxed state. The enhanced state is one in which the network responds very selectively to input patterns, while in the relaxed state, the network responds almost equally to input patterns. The gap between the two states can be reduced by minimizing the Kullback-Leibler divergence between the two states with free energy. To demonstrate the effectiveness of this method, we applied self-enhancement learning to the self-organizing maps, or SOM, in which lateral interactions were added to an enhanced state. We applied the method to the well-known Iris, wine, housing and cancer machine learning database problems. In addition, we applied the method to real-life data, a student survey. Experimental results showed that the U-matrices obtained were similar to those produced by the conventional SOM. Class boundaries were made clearer in the housing and cancer data. For all the data, except for the cancer data, better performance could be obtained in terms of quantitative and topological errors. In addition, we could see that the trustworthiness and continuity, referring to the quality of neighborhood preservation, could be improved by the self-enhancement learning. Finally, we used modern dimensionality reduction methods and compared their results with those obtained by the self-enhancement learning. The results obtained by the self-enhancement were not superior to but comparable with those obtained by the modern dimensionality reduction methods.

Genetic Dominance & Cellular Processes

Science.gov (United States)

Seager, Robert D.

2014-01-01

In learning genetics, many students misunderstand and misinterpret what "dominance" means. Understanding is easier if students realize that dominance is not a mechanism, but rather a consequence of underlying cellular processes. For example, metabolic pathways are often little affected by changes in enzyme concentration. This means that…

A study on online learner profile for supporting personalized learning

Directory of Open Access Journals (Sweden)

Jie Yang

2013-09-01

Full Text Available Digital learning as a popular learning approach has received increasing attention in modern education. The learner profile in online learning plays a critical role in supporting personalized learning. This article uses an information flow-based approach to build the learner profile for supporting personalized learning. The learner profile includes the individual profile to capture the personal features and the community profile to capture the social features in online learning environment.

Physical Education between the social project of solid modernity and the of liquid modernity

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Sidinei Pithan da Silva

2012-09-01

Full Text Available Grounded on Bauman’s thought, the present paper focuses on the constitution of social legitimacy and identity of Physical Education in the context of transition from solid to liquid modernity. This thought favors the understanding of the nature of the crisis that has crossed the identity discourse of Physical Education. The text signals the limits and possibilities of both the modern and the post-modern educational discourses. In this context, it describes a modern scenario that is marked by two distinct moments, the one of modernity at its solid stage, and that of modernity at its liquid stage. The first one, of solid modernity, social condition of surveillance, rationalization and control, performs the functional / adaptive role of putting everyone under the same rigid order (managed society. The second one, of liquid modernity, of the social condition of insignificance and irrationalism, plays the functional role of putting and keeping everyone under the same flexible Market disorder. From the scientific, mechanic focus of both the body and the physical education in solid modernity we have moved to the relativist and esthetic focus of body and physical education in liquid modernity.

Introducing e-Learning/Teaching in a Physiology Course for Medical Students: Acceptance by Students and Subjective Effect on Learning

Science.gov (United States)

Felder, E.; Fauler, M.; Geiler, S.

2013-01-01

Retrieval of information has substantially changed within the last two decades. Naturally, this has also affected learning/teaching techniques, and methods that are commonly referred to as "e-learning" have become an important part in modern education. Institutions have to decide if (and how) to implement this new form of teaching but…

Eight millennia of matrilineal genetic continuity in the South Caucasus

DEFF Research Database (Denmark)

Margaryan, Ashot; Derenko, Miroslava; Hovhannisyan, Hrant

2017-01-01

of modern Armenians. We also included previously published data of seven neighboring populations (n = 482). Coalescence-based analyses suggest that the population size in this region rapidly increased after the Last Glacial Maximum ca. 18 kya. We find that the lowest genetic distance in this dataset...

Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the bnlearn R Package

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Marco Scutari

2017-03-01

Full Text Available It is well known in the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: Its computational complexity is super-exponential in the number of nodes in the worst case and polynomial in most real-world scenarios. Efficient implementations of score-based structure learning benefit from past and current research in optimization theory, which can be adapted to the task by using the network score as the objective function to maximize. This is not true for approaches based on conditional independence tests, called constraint-based learning algorithms. The only optimization in widespread use, backtracking, leverages the symmetries implied by the definitions of neighborhood and Markov blanket. In this paper we illustrate how backtracking is implemented in recent versions of the bnlearn R package, and how it degrades the stability of Bayesian network structure learning for little gain in terms of speed. As an alternative, we describe a software architecture and framework that can be used to parallelize constraint-based structure learning algorithms (also implemented in bnlearn and we demonstrate its performance using four reference networks and two real-world data sets from genetics and systems biology. We show that on modern multi-core or multiprocessor hardware parallel implementations are preferable over backtracking, which was developed when single-processor machines were the norm.

Genetically-induced cholinergic hyper-innervation enhances taste learning

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Selin eNeseliler

2011-12-01

Full Text Available Acute inhibition of acetylcholine (ACh has been shown to impair many forms of simple learning, and notably conditioned taste aversion (CTA. The most adhered-to theory that has emerged as a result of this work—that ACh increases a taste’s perceived novelty, and thereby its associability—would be further strengthened by evidence showing that enhanced cholinergic function improves learning above normal levels. Experimental testing of this corollary hypothesis has been limited, however, by side-effects of pharmacological ACh agonism and by the absence of a model that achieves long-term increases in cholinergic signaling. Here, we present this further test of the ACh hypothesis, making use of mice lacking the p75 pan-neurotrophin receptor gene, which show a resultant over-abundance of cholinergic neurons in subregions of the basal forebrain (BF. We first demonstrate that the p75-/- abnormality directly affects portions of the CTA circuit, locating mouse gustatory cortex (GC using a functional assay and then using immunohistochemisty to demonstrate cholinergic hyperinnervation of GC in the mutant mice—hyperinnervation that is unaccompanied by changes in cell numbers or compensatory changes in muscarinic receptor densities. We then demonstrate that both p75-/- and wild-type mice learn robust CTAs, which extinguish more slowly in the mutants. Further testing to distinguish effects on learning from alterations in memory retention demonstrate that p75-/- mice do in fact learn stronger CTAs than wild-type mice. These data provide novel evidence for the hypothesis linking ACh and taste learning.

Modernizing and Transforming Medical Education at the Kilimanjaro Christian Medical University College

Science.gov (United States)

Lisasi, Esther; Kulanga, Ahaz; Muiruri, Charles; Killewo, Lucy; Fadhili, Ndimangwa; Mimano, Lucy; Kapanda, Gibson; Tibyampansha, Dativa; Ibrahim, Glory; Nyindo, Mramba; Mteta, Kien; Kessi, Egbert; Ntabaye, Moshi; Bartlett, John

2014-01-01

The Kilimanjaro Christian Medical University (KCMU) College and the Medical Education Partnership Initiative (MEPI) are addressing the crisis in Tanzanian health care manpower by modernizing the college’s medical education with new tools and techniques. With a $10 million MEPI grant and the participation of its partner, Duke University, KCMU is harnessing the power of information technology (IT) to upgrade tools for students and faculty. Initiatives in eLearning have included bringing fiber-optic connectivity to the campus, offering campus-wide wireless access, opening student and faculty computer laboratories, and providing computer tablets to all incoming medical students. Beyond IT, the college is also offering wet laboratory instruction for hands-on diagnostic skills, team-based learning, and clinical skills workshops. In addition, modern teaching tools and techniques address the challenges posed by increasing numbers of students. To provide incentives for instructors, a performance-based compensation plan and teaching awards have been established. Also for faculty, IT tools and training have been made available, and a medical education course management system is now being widely employed. Student and faculty responses have been favorable, and the rapid uptake of these interventions by students, faculty, and the college’s administration suggests that the KCMU College MEPI approach has addressed unmet needs. This enabling environment has transformed the culture of learning and teaching at KCMU College, where a path to sustainability is now being pursued. PMID:25072581

Belief in the paranormal and modern health worries

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Utinans A.

2014-01-01

Full Text Available It has been found, that despite the improvement of the objective health indicators, people's subjective perception of health is that health indicators are getting worse (Barsky A.J., 1988, which is one of the reasons why a new term “modern health worries” is coming into use in medical literature (Petrie K.J., Wessely S., 2002. People are worried and scared of the effect of new high tech innovations (effect of cell phone radiation, environmental pollution, ozone layer depletion, etc., changes in manufacturing of food products (genetically modified food, food concentrates etc.. Nowadays, many people, being worried about their health, turn to new eating habits (veganism, defend themselves against various innovations in the health system (vaccination, etc. It could be defined as fear of consequences of scientific progress. The reason of fear is not only the misunderstanding of scientific innovations. Quite often, it is a belief in pseudoscientific theories (for example, “conspiracy” or belief in the paranormal phenomena (karma violations, disruption of the cosmic plan. In a part of cases protesters against vaccines and genetically modified food belong to new religious movements which are based on belief in the paranormal and magical thinking. Magical thinking predisposes to the negative attitude towards scientific assumptions and innovations, like a genetically modified food (Saher, 2006. Aim of study. To study the correlation between pseudoscientific assumptions, belief in the paranormal and modern health worries. This condition of modern health worries is becoming important for health care system. It causes the increase in the number of symptoms (Koteles et al., 2011, which, in its turn, increases the doctors' visit rate on one hand (Rief W et al., 2012, but, on the other hand, increases evasion to attend traditional medical care activities. Part of supporters of pseudoscientific beliefs experiences anxiety as to the bad food toxins

Helping Your Child Learn Geography

Science.gov (United States)

,

1996-01-01

By the year 2000, all students will leave grades 4, 8, and 12 having demonstrated competency over challenging subject matter including English, mathematics, science, foreign languages, civics and government, economics, arts, history, and geography, and every school in America will ensure that all students learn to use their minds well, so they may be prepared for responsible citizenship, further learning, and productive employment in our Nation's modern economy.

Accounting Capstone Course Design: Using the Internet to Modernize a Graduate Accounting Capstone Course

Science.gov (United States)

Bloom, Diane S.; Ehoff, Clemense, Jr.

2012-01-01

This second paper describes how the Internet was used to modernize a graduate accounting capstone course to enhance student interest and learning, and is an extension of an earlier paper that examined a similar approach with an undergraduate accounting capstone course. Course content was developed from contemporary issues and cases obtained from…

What Can the Study of Genetics Offer to Educators?

Science.gov (United States)

Thomas, Michael S. C.; Kovas, Yulia; Meaburn, Emma L.; Tolmie, Andrew

2015-01-01

This article explores the potential contribution of modern genetic methods and findings to education. It is familiar to hear that the "gene" for this or that behavior has been discovered, or that certain skills are "highly heritable." Can this help educators? To explore this question, we describe the methods used to relate…

Risks and benefits of genetically modified foods | Amin | African ...

African Journals Online (AJOL)

There are claims that fear towards new technology has been caused by the lack of information and education on the subject to the public. Modern biotechnology and its applications have been receiving the same criticism. Thus, the objective of this study is to analyze the trends and coverage of genetically modified food ...

Lifelong learning and special libraries

Directory of Open Access Journals (Sweden)

Marjeta Oven

2005-01-01

Full Text Available Lifelong learning is becoming an important part in the development of modern society.In the lifelong learning society endeavours are being made for the education of all individuals regardless of their social and/or economic background. Lifelong learning should,therefore, be regarded as a permanent activity and as such, a significant element of socialization, inspired by common values. It represents a dynamic interaction with cultural, working and social environment. In this respect, the role of motivation should be specifically emphasized, as it can explain the causes for human behaviour.

A 28,000 Years Old Cro-Magnon mtDNA Sequence Differs from All Potentially Contaminating Modern Sequences

Science.gov (United States)

Caramelli, David; Milani, Lucio; Vai, Stefania; Modi, Alessandra; Pecchioli, Elena; Girardi, Matteo; Pilli, Elena; Lari, Martina; Lippi, Barbara; Ronchitelli, Annamaria; Mallegni, Francesco; Casoli, Antonella; Bertorelle, Giorgio; Barbujani, Guido

2008-01-01

Background DNA sequences from ancient speciments may in fact result from undetected contamination of the ancient specimens by modern DNA, and the problem is particularly challenging in studies of human fossils. Doubts on the authenticity of the available sequences have so far hampered genetic comparisons between anatomically archaic (Neandertal) and early modern (Cro-Magnoid) Europeans. Methodology/Principal Findings We typed the mitochondrial DNA (mtDNA) hypervariable region I in a 28,000 years old Cro-Magnoid individual from the Paglicci cave, in Italy (Paglicci 23) and in all the people who had contact with the sample since its discovery in 2003. The Paglicci 23 sequence, determined through the analysis of 152 clones, is the Cambridge reference sequence, and cannot possibly reflect contamination because it differs from all potentially contaminating modern sequences. Conclusions/Significance: The Paglicci 23 individual carried a mtDNA sequence that is still common in Europe, and which radically differs from those of the almost contemporary Neandertals, demonstrating a genealogical continuity across 28,000 years, from Cro-Magnoid to modern Europeans. Because all potential sources of modern DNA contamination are known, the Paglicci 23 sample will offer a unique opportunity to get insight for the first time into the nuclear genes of early modern Europeans. PMID:18628960

A 28,000 years old Cro-Magnon mtDNA sequence differs from all potentially contaminating modern sequences.

Directory of Open Access Journals (Sweden)

David Caramelli

Full Text Available BACKGROUND: DNA sequences from ancient specimens may in fact result from undetected contamination of the ancient specimens by modern DNA, and the problem is particularly challenging in studies of human fossils. Doubts on the authenticity of the available sequences have so far hampered genetic comparisons between anatomically archaic (Neandertal and early modern (Cro-Magnoid Europeans. METHODOLOGY/PRINCIPAL FINDINGS: We typed the mitochondrial DNA (mtDNA hypervariable region I in a 28,000 years old Cro-Magnoid individual from the Paglicci cave, in Italy (Paglicci 23 and in all the people who had contact with the sample since its discovery in 2003. The Paglicci 23 sequence, determined through the analysis of 152 clones, is the Cambridge reference sequence, and cannot possibly reflect contamination because it differs from all potentially contaminating modern sequences. CONCLUSIONS/SIGNIFICANCE: The Paglicci 23 individual carried a mtDNA sequence that is still common in Europe, and which radically differs from those of the almost contemporary Neandertals, demonstrating a genealogical continuity across 28,000 years, from Cro-Magnoid to modern Europeans. Because all potential sources of modern DNA contamination are known, the Paglicci 23 sample will offer a unique opportunity to get insight for the first time into the nuclear genes of early modern Europeans.