2011 : Qu'elle année !

CERN Multimedia

Staff Association

2012-01-01

« Quelle année ! Et quelle fin d’année ! La star de l’année a été le LHC, avec ses expériences, qui une fois de plus ont été sous les feux de la rampe. Mais on doit aussi citer toute une troupe d’acteurs importants, dans des domaines aussi différents que l’antimatière et l’expérience CLOUD. » Voilà ce que le Directeur général nous a écrit le 20 décembre dans son message avec ses vœux de fin d’année. Sans oublier, bien sûr, les fameux neutrinos hyperrapides vers Gran Sasso qui ont mis le CERN sur le devant de la scène mondiale. Ces succès qui font la fierté et la force de l’Organisation ont été rendus possibles «&...

La discrimination : une frontière par rapport à l’intégration

Directory of Open Access Journals (Sweden)

Rosita Fibbi

2010-12-01

Full Text Available La Suisse s’est dotée d’une politique officielle d’intégration qui s’adresse prioritairement aux nouveaux immigrants. Toutefois les difficultés d’intégration concernent également la jeunesse d’origine immigrée qui réside dans le pays depuis des années. Deux études menées au Forum suisse pour l’étude des migrations et de la population montrent que ces jeunes sont confrontés à la discrimination à l’entrée sur le marché du travail, même lorsqu’ils disposent de qualifications identiques à celles de leurs congénères.Discrimination: a boundary to integrationSwitzerland has developed an official policy of integration with a priority accorded to new immigrants. However, integration difficulties concern also young people of immigrant origins who have lived in the country for a long time. Two studies carried out by the Swiss Forum for the Study of Migrations and the Population show that these young individuals are confronted with discrimination when they seek to enter the work force, even when they dispose of identical qualifications to those of their generation.La discriminación como barrera fronteriza contra la immigraciónSuiza se ha dotado de una política oficial dirigida prioritariamente a los imigrantes recientes. Sin embargo las dificultades de la integración atañen tambien a los jovenes de origen extranjero que residen en el pais desde hace años. Dos estudios realizados por el Foro suizo para el estudio de las migraciones y de la población ponen en evidencia que esos jovenes estan confrontados a la discriminación cuando llegan a la edad de trabajar aunque posean el mismo nivel de cualificación que los autoctonos.

Feature Selection and ANN Solar Power Prediction

Directory of Open Access Journals (Sweden)

Daniel O’Leary

2017-01-01

Full Text Available A novel method of solar power forecasting for individuals and small businesses is developed in this paper based on machine learning, image processing, and acoustic classification techniques. Increases in the production of solar power at the consumer level require automated forecasting systems to minimize loss, cost, and environmental impact for homes and businesses that produce and consume power (prosumers. These new participants in the energy market, prosumers, require new artificial neural network (ANN performance tuning techniques to create accurate ANN forecasts. Input masking, an ANN tuning technique developed for acoustic signal classification and image edge detection, is applied to prosumer solar data to improve prosumer forecast accuracy over traditional macrogrid ANN performance tuning techniques. ANN inputs tailor time-of-day masking based on error clustering in the time domain. Results show an improvement in prediction to target correlation, the R2 value, lowering inaccuracy of sample predictions by 14.4%, with corresponding drops in mean average error of 5.37% and root mean squared error of 6.83%.

Biogas engine performance estimation using ANN

Directory of Open Access Journals (Sweden)

Yusuf Kurtgoz

2017-12-01

Full Text Available Artificial neural network (ANN method was used to estimate the thermal efficiency (TE, brake specific fuel consumption (BSFC and volumetric efficiency (VE values of a biogas engine with spark ignition at different methane (CH4 ratios and engine load values. For this purpose, the biogas used in the biogas engine was produced by the anaerobic fermentation method from bovine manure and different CH4 contents (51%, 57%, 87% were obtained by purification of CO2 and H2S. The data used in the ANN models were obtained experimentally from a 4-stroke four-cylinder, spark ignition engine, at constant speed for different load and CH4 ratios. Using some of the obtained experimental data, ANN models were developed, and the rest was used to test the developed models. In the ANN models, the CH4 ratio of the fuel, engine load, inlet air temperature (Tin, air fuel ratio and the maximum cylinder pressure are chosen as the input parameters. TE, BSFC and VE are used as the output parameters. Root mean square error (RMSE, mean absolute percentage error (MAPE and correlation coefficient (R performance indicators are used to compare measured and predicted values. It has been shown that ANN models give good results in spark ignition biogas engines with high correlation and low error rates for TE, BSFC and VE values.

Obituary: Anne Barbara Underhill, 1920-2003

Science.gov (United States)

Roman, Nancy Grace

2003-12-01

Anne was born in Vancouver, British Columbia on 12 June 1920. Her parents were Frederic Clare Underhill, a civil engineer and Irene Anna (née Creery) Underhill. She had a twin brother and three younger brothers. As a young girl she was active in Girl Guides and graduated from high school winning the Lieutenant Governor's medal as one of the top students in the Province. She also excelled in high school sports. Her mother died when Anne was 18 and, while undertaking her university studies, Anne assisted in raising her younger brothers. Her twin brother was killed in Italy during World War II (1944), a loss that Anne felt deeply. Possibly because of fighting to get ahead in astronomy, a field overwhelming male when she started, she frequently appeared combative. At the University of British Columbia, Anne obtained a BA (honors) in Chemistry (1942), followed by a MA in 1944. After working for the NRC in Montreal for a year, she studied at the University of Toronto prior to entering the University of Chicago in 1946 to obtain her PhD. Her thesis was the first model computed for a multi-layered stellar atmosphere (1948). During this time she worked with Otto Struve, developing a lifetime interest in hot stars and the analysis of their high dispersion spectra. She received two fellowships from the University Women of Canada. She received a U.S. National Research Fellowship to work at the Copenhagen Observatory, and upon its completion, she returned to British Columbia to work at the Dominion Astrophysical Observatory as a research scientist from 1949--1962. During this period she spent a year at Harvard University as a visiting professor and at Princeton where she used their advanced computer to write the first code for modeling stellar atmospheres. Anne was invited to the University of Utrecht (Netherlands) as a full professor in 1962. She was an excellent teacher, well liked by the students in her classes, and by the many individuals that she guided throughout her

Anneli Randla kaitses doktorikraadi Cambridge'is / Anneli Randla ; interv. Reet Varblane

Index Scriptorium Estoniae

Randla, Anneli, 1970-

1999-01-01

5. mail kaitses Cambridge'is esimese eesti kunstiteadlasena doktorikraadi Anneli Randla. Töö teema: kerjusmungaordukloostrite arhitektuur Põhja-Euroopas. Juhendaja dr. Deborah Howard. Doktorikraadile esitatavatest nõudmistest, doktoritöö kaitsmisest, magistrikraadi kaitsnu õppimisvõimalustest Cambridge's.

Review of Artificial Neural Networks (ANN) applied to corrosion monitoring

International Nuclear Information System (INIS)

Mabbutt, S; Picton, P; Shaw, P; Black, S

2012-01-01

The assessment of corrosion within an engineering system often forms an important aspect of condition monitoring but it is a parameter that is inherently difficult to measure and predict. The electrochemical nature of the corrosion process allows precise measurements to be made. Advances in instruments, techniques and software have resulted in devices that can gather data and perform various analysis routines that provide parameters to identify corrosion type and corrosion rate. Although corrosion rates are important they are only useful where general or uniform corrosion dominates. However, pitting, inter-granular corrosion and environmentally assisted cracking (stress corrosion) are examples of corrosion mechanisms that can be dangerous and virtually invisible to the naked eye. Electrochemical noise (EN) monitoring is a very useful technique for detecting these types of corrosion and it is the only non-invasive electrochemical corrosion monitoring technique commonly available. Modern instrumentation is extremely sensitive to changes in the system and new experimental configurations for gathering EN data have been proven. In this paper the identification of localised corrosion by different data analysis routines has been reviewed. In particular the application of Artificial Neural Network (ANN) analysis to corrosion data is of key interest. In most instances data needs to be used with conventional theory to obtain meaningful information and relies on expert interpretation. Recently work has been carried out using artificial neural networks to investigate various types of corrosion data in attempts to predict corrosion behaviour with some success. This work aims to extend this earlier work to identify reliable electrochemical indicators of localised corrosion onset and propagation stages.

Pour une paix armée : l’idée de paix chez Paul Reynaud dans les années 30

OpenAIRE

Tellier, Thibault

2018-01-01

Dans les années 20, Paul Reynaud s'était déjà fortement intéressé à la question de la paix entre la France et l'Allemagne en proposant un règlement original de la question des Réparations. En même temps, et alors que le pacifisme est très présent dans la société française ainsi qu'au Parlement, Paul Reynaud réunit déjà au sein d'une seule et unique problématique le désir légitime de la France de conserver la paix et la nécessité pour cela de garder une puissance militaire opérationnelle suffi...

A core hSSB1–INTS complex participates in the DNA damage response

OpenAIRE

Zhang, Feng; Ma, Teng; Yu, Xiaochun

2013-01-01

Human single-stranded DNA-binding protein 1 (hSSB1) plays an important role in the DNA damage response and the maintenance of genomic stability. It has been shown that the core hSSB1 complex contains hSSB1, INTS3 and C9orf80. Using protein affinity purification, we have identified integrator complex subunit 6 (INTS6) as a major subunit of the core hSSB1 complex. INTS6 forms a stable complex with INTS3 and hSSB1 both in vitro and in vivo. In this complex, INTS6 directly interacts with INTS3. I...

Ann tuleb Rakverest Võrru

Index Scriptorium Estoniae

2009-01-01

Võru kultuurimajas Kannel etendub 17. aprillil Rakvere teatri noortelavastus "Kuidas elad? ...Ann?!" Aidi Valliku jutustuse põhjal. Lavastaja Sven Heiberg. Mängivad ka Viljandi Kultuuriakadeemia teatritudengid

Anne Veski : "Ju siis ei ole minu rahvusvaheline kuulsus meie presidendi kõrvu jõudnud" / Anne Veski ; interv. Tiia Linnard

Index Scriptorium Estoniae

Veski, Anne, 1956-

2008-01-01

Laulja Anne Veski arutlusi kontserttegevusest Venemaal ja elust Eestis. Muuhulgas on juttu ka sellest, et Anne Veskit pole kunagi kutsutud presidendi iseseisvuspäeva vastuvõtule. Ilmunud ka: Severnoje Poberezhje 20. märts 2008, lk. 6

Mary Anne Chambers | IDRC - International Development Research ...

International Development Research Centre (IDRC) Digital Library (Canada)

A former Member of Provincial Parliament, Mary Anne served as Minister of Training, Colleges and Universities, and Minister of Children and Youth Services in the Government of Ontario. She is also a former senior vice-president of Scotiabank. A graduate of the University of Toronto, Mary Anne has received honorary ...

'Transatlantic Print Culture, 1880-1940: Emerging Media, Emerging Modernisms', edited by Ann Ardis and Patrick Collier

Directory of Open Access Journals (Sweden)

Janet Floyd

2009-11-01

Full Text Available A review of 'Transatlantic Print Culture, 1880-1940: Emerging Media, Emerging Modernisms', edited by Ann Ardis and Patrick Collier (London: Palgrave Macmillan, 2008. Hardback, 259 pages, £50, ISBN 9780554269.

An ANN application for water quality forecasting.

Science.gov (United States)

Palani, Sundarambal; Liong, Shie-Yui; Tkalich, Pavel

2008-09-01

Rapid urban and coastal developments often witness deterioration of regional seawater quality. As part of the management process, it is important to assess the baseline characteristics of the marine environment so that sustainable development can be pursued. In this study, artificial neural networks (ANNs) were used to predict and forecast quantitative characteristics of water bodies. The true power and advantage of this method lie in its ability to (1) represent both linear and non-linear relationships and (2) learn these relationships directly from the data being modeled. The study focuses on Singapore coastal waters. The ANN model is built for quick assessment and forecasting of selected water quality variables at any location in the domain of interest. Respective variables measured at other locations serve as the input parameters. The variables of interest are salinity, temperature, dissolved oxygen, and chlorophyll-alpha. A time lag up to 2Delta(t) appeared to suffice to yield good simulation results. To validate the performance of the trained ANN, it was applied to an unseen data set from a station in the region. The results show the ANN's great potential to simulate water quality variables. Simulation accuracy, measured in the Nash-Sutcliffe coefficient of efficiency (R(2)), ranged from 0.8 to 0.9 for the training and overfitting test data. Thus, a trained ANN model may potentially provide simulated values for desired locations at which measured data are unavailable yet required for water quality models.

Intelligence économique, compétitivité et cohésion sociale

Directory of Open Access Journals (Sweden)

Luc Marie Quoniam

2005-12-01

Full Text Available Book review: Intelligence économique, compétitivité et cohésion sociale by Bernard Carayon (.pdf rapportPublished by: Ministère de l’Intérieur français Année d'édition : 2003 Réf. : 9782110054913, 176 pages, 21x29,7 cm ISBN : 2-11-005491-3

Final Technical Report, Wind Generator Project (Ann Arbor)

Energy Technology Data Exchange (ETDEWEB)

Geisler, Nathan [City of Ann Arbor, MI (United States)

2017-03-20

A Final Technical Report (57 pages) describing educational exhibits and devices focused on wind energy, and related outreach activities and programs. Project partnership includes the City of Ann Arbor, MI and the Ann Arbor Hands-on Museum, along with additional sub-recipients, and U.S. Department of Energy/Office of Energy Efficiency and Renewable Energy (EERE). Report relays key milestones and sub-tasks as well as numerous graphics and images of five (5) transportable wind energy demonstration devices and five (5) wind energy exhibits designed and constructed between 2014 and 2016 for transport and use by the Ann Arbor Hands-on Museum.

Tight regulation of the intS gene of the KplE1 prophage: a new paradigm for integrase gene regulation.

Directory of Open Access Journals (Sweden)

Gaël Panis

2010-10-01

Full Text Available Temperate phages have the ability to maintain their genome in their host, a process called lysogeny. For most, passive replication of the phage genome relies on integration into the host's chromosome and becoming a prophage. Prophages remain silent in the absence of stress and replicate passively within their host genome. However, when stressful conditions occur, a prophage excises itself and resumes the viral cycle. Integration and excision of phage genomes are mediated by regulated site-specific recombination catalyzed by tyrosine and serine recombinases. In the KplE1 prophage, site-specific recombination is mediated by the IntS integrase and the TorI recombination directionality factor (RDF. We previously described a sub-family of temperate phages that is characterized by an unusual organization of the recombination module. Consequently, the attL recombination region overlaps with the integrase promoter, and the integrase and RDF genes do not share a common activated promoter upon lytic induction as in the lambda prophage. In this study, we show that the intS gene is tightly regulated by its own product as well as by the TorI RDF protein. In silico analysis revealed that overlap of the attL region with the integrase promoter is widely encountered in prophages present in prokaryotic genomes, suggesting a general occurrence of negatively autoregulated integrase genes. The prediction that these integrase genes are negatively autoregulated was biologically assessed by studying the regulation of several integrase genes from two different Escherichia coli strains. Our results suggest that the majority of tRNA-associated integrase genes in prokaryotic genomes could be autoregulated and that this might be correlated with the recombination efficiency as in KplE1. The consequences of this unprecedented regulation for excessive recombination are discussed.

First EURONEAR NEA discoveries from La Palma using the INT

Science.gov (United States)

Vaduvescu, O.; Hudin, L.; Tudor, V.; Char, F.; Mocnik, T.; Kwiatkowski, T.; de Leon, J.; Cabrera-Lavers, A.; Alvarez, C.; Popescu, M.; Cornea, R.; Díaz Alfaro, M.; Ordonez-Etxeberria, I.; Kamiński, K.; Stecklum, B.; Verdes-Montenegro, L.; Sota, A.; Casanova, V.; Martin Ruiz, S.; Duffard, R.; Zamora, O.; Gomez-Jimenez, M.; Micheli, M.; Koschny, D.; Busch, M.; Knofel, A.; Schwab, E.; Negueruela, I.; Dhillon, V.; Sahman, D.; Marchant, J.; Génova-Santos, R.; Rubiño-Martín, J. A.; Riddick, F. C.; Mendez, J.; Lopez-Martinez, F.; Gänsicke, B. T.; Hollands, M.; Kong, A. K. H.; Jin, R.; Hidalgo, S.; Murabito, S.; Font, J.; Bereciartua, A.; Abe, L.; Bendjoya, P.; Rivet, J. P.; Vernet, D.; Mihalea, S.; Inceu, V.; Gajdos, S.; Veres, P.; Serra-Ricart, M.; Abreu Rodriguez, D.

2015-05-01

Since 2006, the European Near Earth Asteroids Research (EURONEAR) project has been contributing to the research of near-Earth asteroids (NEAs) within a European network. One of the main aims is the amelioration of the orbits of NEAs, and starting in 2014 February we focus on the recovery of one-opposition NEAs using the Isaac Newton Telescope (INT) in La Palma in override mode. Part of this NEA recovery project, since 2014 June EURONEAR serendipitously started to discover and secure the first NEAs from La Palma and using the INT, thanks to the teamwork including amateurs and students who promptly reduce the data, report discoveries and secure new objects recovered with the INT and few other telescopes from the EURONEAR network. Five NEAs were discovered with the INT, including 2014 LU14, 2014 NL52 (one very fast rotator), 2014 OL339 (the fourth known Earth quasi-satellite), 2014 SG143 (a quite large NEA), and 2014 VP. Another very fast moving NEA was discovered but was unfortunately lost due to lack of follow-up time. Additionally, another 14 NEA candidates were identified based on two models, all being rapidly followed-up using the INT and another 11 telescopes within the EURONEAR network. They include one object discovered by Pan-STARRS, two Mars crossers, two Hungarias, one Jupiter trojan, and other few inner main belt asteroids (MBAs). Using the INT and Sierra Nevada 1.5 m for photometry, then the Gran Telescopio de Canarias for spectroscopy, we derived the very rapid rotation of 2014 NL52, then its albedo, magnitude, size, and its spectral class. Based on the total sky coverage in dark conditions, we evaluate the actual survey discovery rate using 2-m class telescopes. One NEA is possible to be discovered randomly within minimum 2.8 deg2 and maximum 5.5 deg2. These findings update our past statistics, being based on double sky coverage and taking into account the recent increase in discovery.

Initial characterization of the Pf-Int recombinase from the malaria parasite Plasmodium falciparum.

Directory of Open Access Journals (Sweden)

Mehdi Ghorbal

Full Text Available Genetic variation is an essential means of evolution and adaptation in many organisms in response to environmental change. Certain DNA alterations can be carried out by site-specific recombinases (SSRs that fall into two families: the serine and the tyrosine recombinases. SSRs are seldom found in eukaryotes. A gene homologous to a tyrosine site-specific recombinase has been identified in the genome of Plasmodium falciparum. The sequence is highly conserved among five other members of Plasmodia.The predicted open reading frame encodes for a ∼57 kDa protein containing a C-terminal domain including the putative tyrosine recombinase conserved active site residues R-H-R-(H/W-Y. The N-terminus has the typical alpha-helical bundle and potentially a mixed alpha-beta domain resembling that of λ-Int. Pf-Int mRNA is expressed differentially during the P. falciparum erythrocytic life stages, peaking in the schizont stage. Recombinant Pf-Int and affinity chromatography of DNA from genomic or synthetic origin were used to identify potential DNA targets after sequencing or micro-array hybridization. Interestingly, the sequences captured also included highly variable subtelomeric genes such as var, rif, and stevor sequences. Electrophoretic mobility shift assays with DNA were carried out to verify Pf-Int/DNA binding. Finally, Pf-Int knock-out parasites were created in order to investigate the biological role of Pf-Int.Our data identify for the first time a malaria parasite gene with structural and functional features of recombinases. Pf-Int may bind to and alter DNA, either in a sequence specific or in a non-specific fashion, and may contribute to programmed or random DNA rearrangements. Pf-Int is the first molecular player identified with a potential role in genome plasticity in this pathogen. Finally, Pf-Int knock-out parasite is viable showing no detectable impact on blood stage development, which is compatible with such function.

Anne Frank relaunched in the world of comics and graphic novels

NARCIS (Netherlands)

Ribbens, Kees

2017-01-01

Recently the Basel-based Anne Frank Fonds proudly presented the Graphic Diary of Anne Frank. The impression is created as if this is the first ever comic book version of Anne Frank’s narrative. This article shows that there were various predecessors.

Orientations pour l'intégration des TICE dans l'enseignement du français en Syrie. L'exemple du centre de documentation pédagogique de Damas.

Directory of Open Access Journals (Sweden)

Christelle Demange-Ducrot

2005-09-01

Full Text Available Le secteur éducatif syrien souhaite orienter son action vers les nouvelles technologies de l'information et la sensibilisation du public scolaire aux applications de l'informatique dans le domaine éducatif et en particulier dans le cadre de l'enseignement des langues. Dans l'enseignement-apprentissage des langues, les apports des TICE sont nombreux, mais là où elles apportent sans doute la plus grande plus-value, c'est lors de la mise en place de projets de classe motivants et valorisants, intégrés à des projets de communication authentique. Partant de ce constat, le Centre de Documentation Pédagogique de Damas forme les enseignants de français syriens à l'intégration des TICE dans des projets pédagogiques de classe mettant en œuvre des activités créatives et stimulantes pour communiquer en français. Jusqu'alors, les formations ont centré leurs efforts sur les bases de l'environnement informatique et de la bureautique, avec pour parti pris l'utilisation de logiciels libres. L'année 2005 marquera le lancement et l'expérimentation du dispositif de formation continue à distance destiné aux professeurs de français dans le domaine des TICE.

L’intérêt historiographique des manuscrits de travail de linguistes : l’exemple de la linguistique générale de Joseph Vendryes

Directory of Open Access Journals (Sweden)

Testenoire Pierre-Yves

2016-01-01

Full Text Available Dans quelle mesure les manuscrits de travail des linguistes présentent-ils un intérêt pour les historiens de la linguistique ? Ce type de documents suscite, depuis quelques années, un regain indéniable de curiosité. L’exploration d’un nombre croissant de fonds d’archives de savants permet, au-delà d’un élargissement de l’horizon documentaire, d’envisager des approches comparatives entre différentes pratiques savantes. Elle ouvre aussi de nouvelles interrogations. Cet article réfléchit à l’intérêt historiographique de ce type de documents à partir d’un cas inédit : les papiers de travail consacrés à la linguistique générale du linguiste français, Joseph Vendryes (1875-1960. On met en évidence le double intérêt des archives privées de savants : documentaire et processuel. On aborde, dans un premier temps, les manuscrits d’un point de vue documentaire de façon à dégager ce que leur prise en compte modifie de notre connaissance de la linguistique générale de Joseph Vendryes. Le deuxième temps, consacré à la perspective processuelle, fait des manuscrits le lieu de l’observation de la méthode. Il s’agit d’analyser, à partir des manuscrits préparatoires à l’écriture d’un article, comment s’élabore un discours scientifique à caractère général sur le langage et les langues. Ces archives privées sont au carrefour de questionnements de recherche qui relèvent aussi bien d’une histoire conceptuelle que d’une histoire sociale des sciences du langage.

The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases

Science.gov (United States)

Orchard, Sandra; Ammari, Mais; Aranda, Bruno; Breuza, Lionel; Briganti, Leonardo; Broackes-Carter, Fiona; Campbell, Nancy H.; Chavali, Gayatri; Chen, Carol; del-Toro, Noemi; Duesbury, Margaret; Dumousseau, Marine; Galeota, Eugenia; Hinz, Ursula; Iannuccelli, Marta; Jagannathan, Sruthi; Jimenez, Rafael; Khadake, Jyoti; Lagreid, Astrid; Licata, Luana; Lovering, Ruth C.; Meldal, Birgit; Melidoni, Anna N.; Milagros, Mila; Peluso, Daniele; Perfetto, Livia; Porras, Pablo; Raghunath, Arathi; Ricard-Blum, Sylvie; Roechert, Bernd; Stutz, Andre; Tognolli, Michael; van Roey, Kim; Cesareni, Gianni; Hermjakob, Henning

2014-01-01

IntAct (freely available at http://www.ebi.ac.uk/intact) is an open-source, open data molecular interaction database populated by data either curated from the literature or from direct data depositions. IntAct has developed a sophisticated web-based curation tool, capable of supporting both IMEx- and MIMIx-level curation. This tool is now utilized by multiple additional curation teams, all of whom annotate data directly into the IntAct database. Members of the IntAct team supply appropriate levels of training, perform quality control on entries and take responsibility for long-term data maintenance. Recently, the MINT and IntAct databases decided to merge their separate efforts to make optimal use of limited developer resources and maximize the curation output. All data manually curated by the MINT curators have been moved into the IntAct database at EMBL-EBI and are merged with the existing IntAct dataset. Both IntAct and MINT are active contributors to the IMEx consortium (http://www.imexconsortium.org). PMID:24234451

L'intégrité au CERN

CERN Document Server

HR, Department

2015-01-01

Pour mener à bien sa mission, le CERN compte sur la confiance et le soutien matériel de ses États membres et de ses partenaires, et se doit de gérer de manière exemplaire les ressources qui lui sont confiées. Dès lors, le CERN attend la plus haute intégrité de la part de tous ses collaborateurs (membres du personnel, consultants, contractants travaillant sur le domaine ou personne engagée à tout autre titre au CERN ou pour le compte de celui-ci). L’intégrité est l’une des valeurs essentielles du CERN. Elle est définie dans le Code de conduite comme le fait d’« agir avec éthique, en toute honnêteté intellectuelle et en étant responsable de ses actes ».

Process modeling for the Integrated Nonthermal Treatment System (INTS) study

Energy Technology Data Exchange (ETDEWEB)

Brown, B.W.

1997-04-01

This report describes the process modeling done in support of the Integrated Nonthermal Treatment System (INTS) study. This study was performed to supplement the Integrated Thermal Treatment System (ITTS) study and comprises five conceptual treatment systems that treat DOE contract-handled mixed low-level wastes (MLLW) at temperatures of less than 350{degrees}F. ASPEN PLUS, a chemical process simulator, was used to model the systems. Nonthermal treatment systems were developed as part of the INTS study and include sufficient processing steps to treat the entire inventory of MLLW. The final result of the modeling is a process flowsheet with a detailed mass and energy balance. In contrast to the ITTS study, which modeled only the main treatment system, the INTS study modeled each of the various processing steps with ASPEN PLUS, release 9.1-1. Trace constituents, such as radionuclides and minor pollutant species, were not included in the calculations.

[Anne Arold. Kontrastive Analyse...] / Paul Alvre

Index Scriptorium Estoniae

Alvre, Paul, 1921-2008

2001-01-01

Arvustus: Arold, Anne. Kontrastive analyse der Wortbildungsmuster im Deutschen und im Estnischen (am Beispiel der Aussehensadjektive). Tartu, 2000. (Dissertationes philologiae germanicae Universitatis Tartuensis)

IntPath--an integrated pathway gene relationship database for model organisms and important pathogens.

Science.gov (United States)

Zhou, Hufeng; Jin, Jingjing; Zhang, Haojun; Yi, Bo; Wozniak, Michal; Wong, Limsoon

2012-01-01

Pathway data are important for understanding the relationship between genes, proteins and many other molecules in living organisms. Pathway gene relationships are crucial information for guidance, prediction, reference and assessment in biochemistry, computational biology, and medicine. Many well-established databases--e.g., KEGG, WikiPathways, and BioCyc--are dedicated to collecting pathway data for public access. However, the effectiveness of these databases is hindered by issues such as incompatible data formats, inconsistent molecular representations, inconsistent molecular relationship representations, inconsistent referrals to pathway names, and incomprehensive data from different databases. In this paper, we overcome these issues through extraction, normalization and integration of pathway data from several major public databases (KEGG, WikiPathways, BioCyc, etc). We build a database that not only hosts our integrated pathway gene relationship data for public access but also maintains the necessary updates in the long run. This public repository is named IntPath (Integrated Pathway gene relationship database for model organisms and important pathogens). Four organisms--S. cerevisiae, M. tuberculosis H37Rv, H. Sapiens and M. musculus--are included in this version (V2.0) of IntPath. IntPath uses the "full unification" approach to ensure no deletion and no introduced noise in this process. Therefore, IntPath contains much richer pathway-gene and pathway-gene pair relationships and much larger number of non-redundant genes and gene pairs than any of the single-source databases. The gene relationships of each gene (measured by average node degree) per pathway are significantly richer. The gene relationships in each pathway (measured by average number of gene pairs per pathway) are also considerably richer in the integrated pathways. Moderate manual curation are involved to get rid of errors and noises from source data (e.g., the gene ID errors in WikiPathways and

The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases

OpenAIRE

Orchard, S; Ammari, M; Aranda, B; Breuza, L; Briganti, L; Broackes-Carter, F; Campbell, N; Chavali, G; Chen, C; del-Toro, N; Duesbury, M; Dumousseau, M; Galeota, E; Hinz, U; Iannuccelli, M

2014-01-01

IntAct (freely available at http://www.ebi.ac.uk/intact) is an open-source, open data molecular interaction database populated by data either curated from the literature or from direct data depositions. IntAct has developed a sophisticated web-based curation tool, capable of supporting both IMEx- and MIMIx-level curation. This tool is now utilized by multiple additional curation teams, all of whom annotate data directly into the IntAct database. Members of the IntAct team supply appropriate l...

Short Term INT-Formazan Production as a Proxy for Marine Prokaryote Respiration

Science.gov (United States)

Cajal-Medrano, R.; Villegas-Mendoza, J.; Maske, H.

2016-02-01

Prokaryotes are poisoned by the tetrazolium electron transport probe INT on time scales of less than one hour, invalidating the interpretation of the rate of in vivo INT reduction to formazan as a proxy for oxygen consumption rates (Villegas-Mendoza et al. 2015). We measured oxygen consumption rate (R; µM O2 hour-1) and electron transport activity with in vivo INT formazan production (IFP, mM formazan) at 0.5 mM INT during 1 hour exposure time of natural communities and cultures of the marine bacteria Vibrio harveyi growing in batch and continuous cultures. A strong exponential relationship R = 0.20 IFP2.15 (pgrowth rates under aerobic condition. We find that IFP and oxygen consumption increase with bacterial specific growth rates and temperature as expected from basic principles of physiology and biochemistry. Oxygen and nitrogen saturated batch cultures of V. harveyi showed that both, IFP and oxygen consumption increased for 0.8 hours but then stopped similar to natural bacterial communities supporting the above relationship of IFP to prokaryote respiration. Our method implies adding 0.5 mM INT to a plankton sample and incubating for less than 1 hour. After prokaryote separation by size filtration (0.8 mm), the formazan crystals are collected by filtration (0.2 mm) and dissolved in propanol. The absorbance at 485 nm per sample volume yields the formazan potential that is related to prokaryote respiration in the sample.

Optimising training data for ANNs with Genetic Algorithms

OpenAIRE

Kamp , R. G.; Savenije , H. H. G.

2006-01-01

International audience; Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training phase in which the ANN learns the model's input-output relations. Good and representative training data is not always available. In this publication Genetic Algorithms (GA) are used to optimise training datasets. The approach is tested with an existing hydraulic model in ...

Optimising training data for ANNs with Genetic Algorithms

OpenAIRE

R. G. Kamp; R. G. Kamp; H. H. G. Savenije

2006-01-01

Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training phase in which the ANN learns the model's input-output relations. Good and representative training data is not always available. In this publication Genetic Algorithms (GA) are used to optimise training datasets. The approach is tested with an existing hydraulic model in The Netherlands. An...

Anne K. Bang: Islamic Sufi Networks in the Western Indian Ocean (c. 1880-1940. Ripples of Reform.

Directory of Open Access Journals (Sweden)

Angelika Brodersen

2015-03-01

Full Text Available This contribution offers a review of Anne K. Bang's book: Islamic Sufi Networks in the Western Indian Ocean (c. 1880-1940. Ripples of Reform. Islam in Africa, Volume 16. Leiden: Brill 2014. xiv + 227 pages, € 104.00, ISBN 978-900-425-1342.

Études d'intégration pour l'accélérateur LHC

CERN Document Server

Muttoni, Y

2004-01-01

Dans tous les projets de recherche ou industriels, l'intégration est une phase préalable et indispensable à l'installation de services ou d'équipements. Dans une première partie, il est montré comment et suivant quelle méthode ont été conduites les études d'intégration de la machine LHC. Puis dans une deuxième partie, sera présenté le site WEB de l'ICL (Intégration Cellule LHC), l'outil de diffusion des informations générées par les études d'intégration. Enfin, la gestion des documents de non-conformités d'installation, via le système MTF sera décrite.

Assessment of ANN and SVM models for estimating normal direct irradiation (H_b)

International Nuclear Information System (INIS)

Santos, Cícero Manoel dos; Escobedo, João Francisco; Teramoto, Érico Tadao; Modenese Gorla da Silva, Silvia Helena

2016-01-01

Highlights: • The performance of SVM and ANN in estimating Normal Direct Irradiation (H_b) was evaluated. • 12 models using different input variables are developed (hourly and daily partitions). • The most relevant input variables for DNI are kt, H_s_c and insolation ratio (r′ = n/N). • Support Vector Machine (SVM) provides accurate estimates and outperforms the Artificial Neural Network (ANN). - Abstract: This study evaluates the estimation of hourly and daily normal direct irradiation (H_b) using machine learning techniques (ML): Artificial Neural Network (ANN) and Support Vector Machine (SVM). Time series of different meteorological variables measured over thirteen years in Botucatu were used for training and validating ANN and SVM. Seven different sets of input variables were tested and evaluated, which were chosen based on statistical models reported in the literature. Relative Mean Bias Error (rMBE), Relative Root Mean Square Error (rRMSE), determination coefficient (R"2) and “d” Willmott index were used to evaluate ANN and SVM models. When compared to statistical models which use the same set of input variables (R"2 between 0.22 and 0.78), ANN and SVM show higher values of R"2 (hourly models between 0.52 and 0.88; daily models between 0.42 and 0.91). Considering the input variables, atmospheric transmissivity of global radiation (kt), integrated solar constant (H_s_c) and insolation ratio (n/N, n is sunshine duration and N is photoperiod) were the most relevant in ANN and SVM models. The rMBE and rRMSE values in the two time partitions of SVM models are lower than those obtained with ANN. Hourly ANN and SVM models have higher rRMSE values than daily models. Optimal performance with hourly models was obtained with ANN4"h (rMBE = 12.24%, rRMSE = 23.99% and “d” = 0.96) and SVM4"h (rMBE = 1.75%, rRMSE = 20.10% and “d” = 0.96). Optimal performance with daily models was obtained with ANN2"d (rMBE = −3.09%, rRMSE = 18.95% and “d” = 0

RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.

Directory of Open Access Journals (Sweden)

Marco Grimaldi

Full Text Available RegnANN is a novel method for reverse engineering gene networks based on an ensemble of multilayer perceptrons. The algorithm builds a regressor for each gene in the network, estimating its neighborhood independently. The overall network is obtained by joining all the neighborhoods. RegnANN makes no assumptions about the nature of the relationships between the variables, potentially capturing high-order and non linear dependencies between expression patterns. The evaluation focuses on synthetic data mimicking plausible submodules of larger networks and on biological data consisting of submodules of Escherichia coli. We consider Barabasi and Erdös-Rényi topologies together with two methods for data generation. We verify the effect of factors such as network size and amount of data to the accuracy of the inference algorithm. The accuracy scores obtained with RegnANN is methodically compared with the performance of three reference algorithms: ARACNE, CLR and KELLER. Our evaluation indicates that RegnANN compares favorably with the inference methods tested. The robustness of RegnANN, its ability to discover second order correlations and the agreement between results obtained with this new methods on both synthetic and biological data are promising and they stimulate its application to a wider range of problems.

Playing tag with ANN: boosted top identification with pattern recognition

International Nuclear Information System (INIS)

Almeida, Leandro G.; Backović, Mihailo; Cliche, Mathieu; Lee, Seung J.; Perelstein, Maxim

2015-01-01

Many searches for physics beyond the Standard Model at the Large Hadron Collider (LHC) rely on top tagging algorithms, which discriminate between boosted hadronic top quarks and the much more common jets initiated by light quarks and gluons. We note that the hadronic calorimeter (HCAL) effectively takes a “digital image" of each jet, with pixel intensities given by energy deposits in individual HCAL cells. Viewed in this way, top tagging becomes a canonical pattern recognition problem. With this motivation, we present a novel top tagging algorithm based on an Artificial Neural Network (ANN), one of the most popular approaches to pattern recognition. The ANN is trained on a large sample of boosted tops and light quark/gluon jets, and is then applied to independent test samples. The ANN tagger demonstrated excellent performance in a Monte Carlo study: for example, for jets with p T in the 1100–1200 GeV range, 60% top-tag efficiency can be achieved with a 4% mis-tag rate. We discuss the physical features of the jets identified by the ANN tagger as the most important for classification, as well as correlations between the ANN tagger and some of the familiar top-tagging observables and algorithms.

Playing tag with ANN: boosted top identification with pattern recognition

Energy Technology Data Exchange (ETDEWEB)

Almeida, Leandro G. [Institut de Biologie de l’École Normale Supérieure (IBENS), Inserm 1024- CNRS 8197,46 rue d’Ulm, 75005 Paris (France); Backović, Mihailo [Center for Cosmology, Particle Physics and Phenomenology - CP3,Universite Catholique de Louvain,Louvain-la-neuve (Belgium); Cliche, Mathieu [Laboratory for Elementary Particle Physics, Cornell University,Ithaca, NY 14853 (United States); Lee, Seung J. [Department of Physics, Korea Advanced Institute of Science and Technology,335 Gwahak-ro, Yuseong-gu, Daejeon 305-701 (Korea, Republic of); School of Physics, Korea Institute for Advanced Study,Seoul 130-722 (Korea, Republic of); Perelstein, Maxim [Laboratory for Elementary Particle Physics, Cornell University,Ithaca, NY 14853 (United States)

2015-07-17

Many searches for physics beyond the Standard Model at the Large Hadron Collider (LHC) rely on top tagging algorithms, which discriminate between boosted hadronic top quarks and the much more common jets initiated by light quarks and gluons. We note that the hadronic calorimeter (HCAL) effectively takes a “digital image' of each jet, with pixel intensities given by energy deposits in individual HCAL cells. Viewed in this way, top tagging becomes a canonical pattern recognition problem. With this motivation, we present a novel top tagging algorithm based on an Artificial Neural Network (ANN), one of the most popular approaches to pattern recognition. The ANN is trained on a large sample of boosted tops and light quark/gluon jets, and is then applied to independent test samples. The ANN tagger demonstrated excellent performance in a Monte Carlo study: for example, for jets with p{sub T} in the 1100–1200 GeV range, 60% top-tag efficiency can be achieved with a 4% mis-tag rate. We discuss the physical features of the jets identified by the ANN tagger as the most important for classification, as well as correlations between the ANN tagger and some of the familiar top-tagging observables and algorithms.

Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy

Directory of Open Access Journals (Sweden)

Maytham S. Ahmed

2016-09-01

Full Text Available Demand response (DR program can shift peak time load to off-peak time, thereby reducing greenhouse gas emissions and allowing energy conservation. In this study, the home energy management scheduling controller of the residential DR strategy is proposed using the hybrid lightning search algorithm (LSA-based artificial neural network (ANN to predict the optimal ON/OFF status for home appliances. Consequently, the scheduled operation of several appliances is improved in terms of cost savings. In the proposed approach, a set of the most common residential appliances are modeled, and their activation is controlled by the hybrid LSA-ANN based home energy management scheduling controller. Four appliances, namely, air conditioner, water heater, refrigerator, and washing machine (WM, are developed by Matlab/Simulink according to customer preferences and priority of appliances. The ANN controller has to be tuned properly using suitable learning rate value and number of nodes in the hidden layers to schedule the appliances optimally. Given that finding proper ANN tuning parameters is difficult, the LSA optimization is hybridized with ANN to improve the ANN performances by selecting the optimum values of neurons in each hidden layer and learning rate. Therefore, the ON/OFF estimation accuracy by ANN can be improved. Results of the hybrid LSA-ANN are compared with those of hybrid particle swarm optimization (PSO based ANN to validate the developed algorithm. Results show that the hybrid LSA-ANN outperforms the hybrid PSO based ANN. The proposed scheduling algorithm can significantly reduce the peak-hour energy consumption during the DR event by up to 9.7138% considering four appliances per 7-h period.

Ado Vabbe preemia Anne Parmastole

Index Scriptorium Estoniae

2003-01-01

Tartu Kunstimajas Tartu kunsti aastalõpunäitus. Kujundaja Mari Nõmmela. Anne Parmastole A. Vabbe, Silja Salmistule E-Kunstisalongi, Lii Jürgensonile EDA, Jüri Marranile Wilde kohviku, Sami Makkonenile AS Vunder ja Tartu Õlletehase A. Le Coq ning Eda Lõhmusele AS Merko Tartu preemia

INTS3 controls the hSSB1-mediated DNA damage response

OpenAIRE

Skaar, Jeffrey R.; Richard, Derek J.; Saraf, Anita; Toschi, Alfredo; Bolderson, Emma; Florens, Laurence; Washburn, Michael P.; Khanna, Kum Kum; Pagano, Michele

2009-01-01

Human SSB1 (single-stranded binding protein 1 [hSSB1]) was recently identified as a part of the ataxia telangiectasia mutated (ATM) signaling pathway. To investigate hSSB1 function, we performed tandem affinity purifications of hSSB1 mutants mimicking the unphosphorylated and ATM-phosphorylated states. Both hSSB1 mutants copurified a subset of Integrator complex subunits and the uncharacterized protein LOC58493/c9orf80 (henceforth minute INTS3/hSSB-associated element [MISE]). The INTS3?MISE?h...

Analysis of steam line break of SMART using RETRAN-3D/INT

International Nuclear Information System (INIS)

Kim, Tae-Wan; Kim, Jong-Won; Park, Goon-Cherl

2003-01-01

RETRAN-3D has been modified to be suitable to safety analysis for integral type marine reactor with modular helical-coiled steam generator cassettes. The modified RETRAN-3D, RETRAN-3D/INT, has helical coil heat conductor model and heat transfer coefficient models for tube and shell sides of helical-coiled steam generator. In addition, moving models are added to simulate the effect of ship motions such as inclination, heaving, rolling and so on. RETRAN-3D/INT has been verified with natural circulation experiment conducted in Seoul National University and the analysis results for the first Japanese nuclear ship, MUTSU. In this study, the safety analysis for SMART, which has been developed by Korea Atomic Energy Research Institute, is performed to examine the applicability of RETRAN-3D/INT to the safety analysis of SMART. The steam line break is selected as reference case. The break type is assumed to the guillotine break. The loss of offsite power is considered as a coincident event and the failure of single train of passive residual heat removal system is assumed as single failure. From the results, it is found that RETRAN-3D/INT can appropriately simulate the transient of SMART and the improvement of non-condensable gas model is required. (author)

Interaction sol-structure : Ponts à culées intégrales

OpenAIRE

Dreier, Damien; Muttoni, Aurelio

2010-01-01

Depuis quelques décennies, la part de ponts intégraux dans les nouveaux ouvrages n’a cessé d’augmenter. L’intérêt croissant pour ce type de construction se justifie par leurs nombreux avantages en comparaison avec les ponts équipés de joints de dilatation et d’appuis mécaniques. L’avantage principal est une demande de maintenance fortement réduite, les éléments mécaniques les plus sensibles aux actions mécaniques et environnementa...

Anne Veesaar astus Valgas üles uudses rollis / Jaan Rapp

Index Scriptorium Estoniae

Rapp, Jaan

2010-01-01

2010. aasta iga kuu viimasel reedel esitab näitlejanna Anne Veesaar Raadio Ruudus katkendeid Valgamaa kirjanike loomingust. 14. jaanuaril kohtumisel lugejatega rääkis Valgas sündinud näitlejanna oma elulooraamatust "Anne Veesaar : elus, see on kõige tähtsam", mille on kirja pannud Helen Eelrand, ja oma praegustest tegemistest

Kõnelused Tartus / Anne Untera

Index Scriptorium Estoniae

Untera, Anne, 1951-

2007-01-01

8.-10. V Tartus toimunud eesti, läti ja saksa kunstiteadlaste ühisseminarist. Alexander Knorre rääkis Karl August Senffi, Ilona Audere Friedrich Ludwig von Maydelli, Mai Levin Karl Alexander von Winkleri, Kristiana Abele Johann Walter-Kurau (1869-1932), Anne Untera Konstantin ja Sally von Kügelgeni, Epp Preem Julie Hagen-Schwartzi, Friedrich Gross Eduard von Gebhardti ja Katharina Hadding Ida Kerkoviuse (1879-1970) loomingust

Solar radiation modelling using ANNs for different climates in China

International Nuclear Information System (INIS)

Lam, Joseph C.; Wan, Kevin K.W.; Yang, Liu

2008-01-01

Artificial neural networks (ANNs) were used to develop prediction models for daily global solar radiation using measured sunshine duration for 40 cities covering nine major thermal climatic zones and sub-zones in China. Coefficients of determination (R 2 ) for all the 40 cities and nine climatic zones/sub-zones are 0.82 or higher, indicating reasonably strong correlation between daily solar radiation and the corresponding sunshine hours. Mean bias error (MBE) varies from -3.3 MJ/m 2 in Ruoqiang (cold climates) to 2.19 MJ/m 2 in Anyang (cold climates). Root mean square error (RMSE) ranges from 1.4 MJ/m 2 in Altay (severe cold climates) to 4.01 MJ/m 2 in Ruoqiang. The three principal statistics (i.e., R 2 , MBE and RMSE) of the climatic zone/sub-zone ANN models are very close to the corresponding zone/sub-zone averages of the individual city ANN models, suggesting that climatic zone ANN models could be used to estimate global solar radiation for locations within the respective zones/sub-zones where only measured sunshine duration data are available. (author)

LFC based adaptive PID controller using ANN and ANFIS techniques

Directory of Open Access Journals (Sweden)

Mohamed I. Mosaad

2014-12-01

Full Text Available This paper presents an adaptive PID Load Frequency Control (LFC for power systems using Neuro-Fuzzy Inference Systems (ANFIS and Artificial Neural Networks (ANN oriented by Genetic Algorithm (GA. PID controller parameters are tuned off-line by using GA to minimize integral error square over a wide-range of load variations. The values of PID controller parameters obtained from GA are used to train both ANFIS and ANN. Therefore, the two proposed techniques could, online, tune the PID controller parameters for optimal response at any other load point within the operating range. Testing of the developed techniques shows that the adaptive PID-LFC could preserve optimal performance over the whole loading range. Results signify superiority of ANFIS over ANN in terms of performance measures.

Flow forecast by SWAT model and ANN in Pracana basin, Portugal

NARCIS (Netherlands)

Demirel, M.C.; Venancio, Anabela; Kahya, Ercan

2009-01-01

This study provides a unique opportunity to analyze the issue of flow forecast based on the soil and water assessment tool (SWAT) and artificial neural network (ANN) models. In last two decades, the ANNs have been extensively applied to various water resources system problems. In this study, the

L’intégration scolaire des enfants handicapés en France: Etat du problème

OpenAIRE

Tomkiewicz, Stanislaw

1991-01-01

Le principe de l’intégration scolaire des enfants handicapés, posé en 1975, a fait naître de grands espoirs et de grandes craintes surtout après 1982. J’ai examiné ici l’état de l’intégration en 1989, ses avantages et ses dangers, les résistances des différents groupes intéressés et les limites de la politique intégrative. RESUMO: O principio da integraçâo escolar das crianças com di ficuldades, colocada em 1975, fez aparecer grandes esperanças e grandes crenças, so...

Identification of drought in Dhalai river watershed using MCDM and ANN models

Science.gov (United States)

Aher, Sainath; Shinde, Sambhaji; Guha, Shantamoy; Majumder, Mrinmoy

2017-03-01

An innovative approach for drought identification is developed using Multi-Criteria Decision Making (MCDM) and Artificial Neural Network (ANN) models from surveyed drought parameter data around the Dhalai river watershed in Tripura hinterlands, India. Total eight drought parameters, i.e., precipitation, soil moisture, evapotranspiration, vegetation canopy, cropping pattern, temperature, cultivated land, and groundwater level were obtained from expert, literature and cultivator survey. Then, the Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) were used for weighting of parameters and Drought Index Identification (DII). Field data of weighted parameters in the meso scale Dhalai River watershed were collected and used to train the ANN model. The developed ANN model was used in the same watershed for identification of drought. Results indicate that the Limited-Memory Quasi-Newton algorithm was better than the commonly used training method. Results obtained from the ANN model shows the drought index developed from the study area ranges from 0.32 to 0.72. Overall analysis revealed that, with appropriate training, the ANN model can be used in the areas where the model is calibrated, or other areas where the range of input parameters is similar to the calibrated region for drought identification.

Ann Arbor Session I: Breaking Ground.

Science.gov (United States)

Music Educators Journal, 1979

1979-01-01

Summarizes the first session of the National Symposium on the Applications of Psychology to the Teaching and Learning of Music held at Ann Arbor from October 30 to November 2, 1978. Sessions concerned auditory perception, motor learning, child development, memory and information processing, and affect and motivation. (SJL)

Appel à manifestations d'intérêt

International Development Research Centre (IDRC) Digital Library (Canada)

gprudhomme

17 mars 2014 ... ... de santé, les soins de santé primaires, la santé des mères et des enfants et la ..... général des points ci-dessous à l'étape de la manifestation d'intérêt. ..... font désormais appel à des cliniciens autres que des médecins pour.

ANN based optimization of a solar assisted hybrid cooling system in Turkey

Energy Technology Data Exchange (ETDEWEB)

Ozgur, Arif; Yetik, Ozge; Arslan, Oguz [Mechanical Eng. Dept., Engineering Faculty, Dumlupinar University (Turkey)], email: maozgur@dpu.edu.tr, email: ozgeyetik@dpu.edu.tr, email: oarslan@dpu.edu.tr

2011-07-01

This study achieved optimization of a solar assisted hybrid cooling system with refrigerants such as R717, R141b, R134a and R123 using an artificial neural network (ANN) model based on average total solar radiation, ambient temperature, generator temperature, condenser temperature, intercooler temperature and fluid types. ANN is a new tool; it works rapidly and can thus be a solution for design and optimization of complex power cycles. A unique flexible ANN algorithm was introduced to evaluate the solar ejector cooling systems because of the nonlinearity of neural networks. The conclusion was that the best COPs value obtained with the ANN is 1.35 and COPc is 3.03 when the average total solar radiation, ambient temperature, generator temperature, condenser temperature, intercooler temperature and algorithm are respectively 674.72 W/m2, 17.9, 80, 15 and 13 degree celsius and LM with 14 neurons in single hidden layer, for R717.

A Hybrid FEM-ANN Approach for Slope Instability Prediction

Science.gov (United States)

Verma, A. K.; Singh, T. N.; Chauhan, Nikhil Kumar; Sarkar, K.

2016-09-01

Assessment of slope stability is one of the most critical aspects for the life of a slope. In any slope vulnerability appraisal, Factor Of Safety (FOS) is the widely accepted index to understand, how close or far a slope from the failure. In this work, an attempt has been made to simulate a road cut slope in a landslide prone area in Rudrapryag, Uttarakhand, India which lies near Himalayan geodynamic mountain belt. A combination of Finite Element Method (FEM) and Artificial Neural Network (ANN) has been adopted to predict FOS of the slope. In ANN, a three layer, feed- forward back-propagation neural network with one input layer and one hidden layer with three neurons and one output layer has been considered and trained using datasets generated from numerical analysis of the slope and validated with new set of field slope data. Mean absolute percentage error estimated as 1.04 with coefficient of correlation between the FOS of FEM and ANN as 0.973, which indicates that the system is very vigorous and fast to predict FOS for any slope.

IntNetLncSim: an integrative network analysis method to infer human lncRNA functional similarity.

Science.gov (United States)

Cheng, Liang; Shi, Hongbo; Wang, Zhenzhen; Hu, Yang; Yang, Haixiu; Zhou, Chen; Sun, Jie; Zhou, Meng

2016-07-26

Increasing evidence indicated that long non-coding RNAs (lncRNAs) were involved in various biological processes and complex diseases by communicating with mRNAs/miRNAs each other. Exploiting interactions between lncRNAs and mRNA/miRNAs to lncRNA functional similarity (LFS) is an effective method to explore function of lncRNAs and predict novel lncRNA-disease associations. In this article, we proposed an integrative framework, IntNetLncSim, to infer LFS by modeling the information flow in an integrated network that comprises both lncRNA-related transcriptional and post-transcriptional information. The performance of IntNetLncSim was evaluated by investigating the relationship of LFS with the similarity of lncRNA-related mRNA sets (LmRSets) and miRNA sets (LmiRSets). As a result, LFS by IntNetLncSim was significant positively correlated with the LmRSet (Pearson correlation γ2=0.8424) and LmiRSet (Pearson correlation γ2=0.2601). Particularly, the performance of IntNetLncSim is superior to several previous methods. In the case of applying the LFS to identify novel lncRNA-disease relationships, we achieved an area under the ROC curve (0.7300) in experimentally verified lncRNA-disease associations based on leave-one-out cross-validation. Furthermore, highly-ranked lncRNA-disease associations confirmed by literature mining demonstrated the excellent performance of IntNetLncSim. Finally, a web-accessible system was provided for querying LFS and potential lncRNA-disease relationships: http://www.bio-bigdata.com/IntNetLncSim.

Comparison of Conventional and ANN Models for River Flow Forecasting

Science.gov (United States)

Jain, A.; Ganti, R.

2011-12-01

Hydrological models are useful in many water resources applications such as flood control, irrigation and drainage, hydro power generation, water supply, erosion and sediment control, etc. Estimates of runoff are needed in many water resources planning, design development, operation and maintenance activities. River flow is generally estimated using time series or rainfall-runoff models. Recently, soft artificial intelligence tools such as Artificial Neural Networks (ANNs) have become popular for research purposes but have not been extensively adopted in operational hydrological forecasts. There is a strong need to develop ANN models based on real catchment data and compare them with the conventional models. In this paper, a comparative study has been carried out for river flow forecasting using the conventional and ANN models. Among the conventional models, multiple linear, and non linear regression, and time series models of auto regressive (AR) type have been developed. Feed forward neural network model structure trained using the back propagation algorithm, a gradient search method, was adopted. The daily river flow data derived from Godavari Basin @ Polavaram, Andhra Pradesh, India have been employed to develop all the models included here. Two inputs, flows at two past time steps, (Q(t-1) and Q(t-2)) were selected using partial auto correlation analysis for forecasting flow at time t, Q(t). A wide range of error statistics have been used to evaluate the performance of all the models developed in this study. It has been found that the regression and AR models performed comparably, and the ANN model performed the best amongst all the models investigated in this study. It is concluded that ANN model should be adopted in real catchments for hydrological modeling and forecasting.

Annäherung Approaching

Directory of Open Access Journals (Sweden)

Carola Hilmes

2007-03-01

Full Text Available Das von Stefan Moses zusammengestellte „Bilderbuch“ zeigt Fotos von Ilse Aichinger. Sie selbst kommt durch eine Reihe von Geschichten und Gedichten zu Wort. In diesen intimen Dialog werden auch die Leser/-innen einbezogen. Das ermöglicht Annäherung.This “Picture Book”, compiled by Stefan Moses, displays photographs of Ilse Aichinger. She is also given voice through a series of stories and poems. The reader is also drawn into this intimate dialogue, thus making it possible for image, text, and reader to converge.

ANN-based wavelet analysis for predicting electrical signal from photovoltaic power supply system

Energy Technology Data Exchange (ETDEWEB)

Mellit, A. [Medea Univ., Medea (Algeria). Inst. of Science Engineering, Dept. of Electronics

2007-07-01

This study was conducted to predict different electrical signals from a photovoltaic power supply system (PVPS) using an artificial neural networks (ANN) with wavelet analysis. It involved the creation of a database of electrical signals (PV-generator current, voltage, battery current voltage, regulator current and voltage) obtained from an experimental PVPS system installed in the south of Algeria. The potential applications were for sizing and analyzing the performance of PVPS systems; control of maximum power point tracker (MPPT) in order to deliver the maximum energy from the PV-array; prediction of the optimal configuration (PV-array and battery sizing) of PVPS systems; expert configuration of PV-systems; faults diagnosis; supervision; and, control and monitoring. First, based on the wavelet analysis each electrical signal was mapped in several time frequency domains. The PV-system was then divided into 3-subsystems corresponding to ANN-PV generator model, ANN-battery model, and ANN-regulator model. An example of day-by-day prediction for each electrical signal was presented. The results of the proposed approach were in good agreement with experimental results. In addition, the accuracy of the proposed approach was more satisfactory when only ANN was used. It was concluded that this methodology offers the possibility of developing a new expert configuration of PVPS by implementing the soft computing ANN-wavelet program with a digital signal processing (DSP) circuit. 26 refs., 1 tab., 5 figs.

Visual NNet: An Educational ANN's Simulation Environment Reusing Matlab Neural Networks Toolbox

Science.gov (United States)

Garcia-Roselló, Emilio; González-Dacosta, Jacinto; Lado, Maria J.; Méndez, Arturo J.; Garcia Pérez-Schofield, Baltasar; Ferrer, Fátima

2011-01-01

Artificial Neural Networks (ANN's) are nowadays a common subject in different curricula of graduate and postgraduate studies. Due to the complex algorithms involved and the dynamic nature of ANN's, simulation software has been commonly used to teach this subject. This software has usually been developed specifically for learning purposes, because…

Ehe seep Eesti moodi / Anneli Aasmäe

Index Scriptorium Estoniae

Aasmäe, Anneli, 1973-

2008-01-01

Produtsent Kristian Taska Kalev Spordis näidatav Venezuela seebiseriaali Eesti oludele mugandatud variant "Kalevi naised" : lavastaja Ingomar Vihman : osades Andrus Vaarik, Anne Reemann, Piret Kalda, Ken Saan jt.

Simulation model of ANN based maximum power point tracking controller for solar PV system

Energy Technology Data Exchange (ETDEWEB)

Rai, Anil K.; Singh, Bhupal [Department of Electrical and Electronics Engineering, Ajay Kumar Garg Engineering College, Ghaziabad 201009 (India); Kaushika, N.D.; Agarwal, Niti [School of Research and Development, Bharati Vidyapeeth College of Engineering, A-4 Paschim Vihar, New Delhi 110063 (India)

2011-02-15

In this paper the simulation model of an artificial neural network (ANN) based maximum power point tracking controller has been developed. The controller consists of an ANN tracker and the optimal control unit. The ANN tracker estimates the voltages and currents corresponding to a maximum power delivered by solar PV (photovoltaic) array for variable cell temperature and solar radiation. The cell temperature is considered as a function of ambient air temperature, wind speed and solar radiation. The tracker is trained employing a set of 124 patterns using the back propagation algorithm. The mean square error of tracker output and target values is set to be of the order of 10{sup -5} and the successful convergent of learning process takes 1281 epochs. The accuracy of the ANN tracker has been validated by employing different test data sets. The control unit uses the estimates of the ANN tracker to adjust the duty cycle of the chopper to optimum value needed for maximum power transfer to the specified load. (author)

Optimization of Nd: YAG Laser Marking of Alumina Ceramic Using RSM And ANN

International Nuclear Information System (INIS)

Peter, Josephine; Doloi, B.; Bhattacharyya, B.

2011-01-01

The present research papers deals with the artificial neural network (ANN) and the response surface methodology (RSM) based mathematical modeling and also an optimization analysis on marking characteristics on alumina ceramic. The experiments have been planned and carried out based on Design of Experiment (DOE). It also analyses the influence of the major laser marking process parameters and the optimal combination of laser marking process parametric setting has been obtained. The output of the RSM optimal data is validated through experimentation and ANN predictive model. A good agreement is observed between the results based on ANN predictive model and actual experimental observations.

A formação do intérprete educacional e sua atuação em sala de aula

Directory of Open Access Journals (Sweden)

Luiz Cláudio Oliveira Antonio

2015-10-01

Full Text Available É fundamental contar com a participação do intérprete educacional de Língua de Sinais (LS na inclusão. Esse artigo aborda a formação e as diferentes funções dos intérpretes em contextos educacionais inclusivos. Basta ser conhecedor da LS? Isso garante ao intérprete o sucesso em sua função? É preciso também agir como mediador entre professor e os alunos surdos, buscando promover a compreensão. Nessa pesquisa foram realizadas entrevistas semiestruturadas com onze intérpretes que atuam na inclusão, buscando conhecer a formação inicial, o tempo de exercício profissional, quais as motivações e quais as funções que desempenha na sala de aula e na escola. Resultados apontam a ausência de planejamento conjunto professor-intérprete e de acesso prévio aos conteúdos apresentados em sala. Verificou-se que quando o intérprete age pedagogicamente, crianças surdas aprendem mais.

The Economic Cost of Implementing Maternal and Neonatal Death Review in a District of Bangladesh.

Science.gov (United States)

Biswas, Animesh; Halim, Abdul; Rahman, Fazlur; Eriksson, Charli; Dalal, Koustuv

2016-12-09

Maternal and neonatal death review (MNDR) introduced in Bangladesh and initially piloted in a district during 2010. MNDR is able to capture each of the maternal, neonatal deaths and stillbirths from the community and government facilities (hospitals). This study aimed to estimate the cost required to implement MNDR in a district of Bangladesh during 2010-2012. MNDR was implemented in Thakurgaon district in 2010 and later gradually extended until 2015. MNDR implementation framework, guidelines, tools and manual were developed at the national level with national level stakeholders including government health and family planning staff at different cadre for piloting at Thakurgaon. Programme implementation costs were calculated by year of costing and costing as per component of MNDR in 2013. The purchasing power parity conversion rate was 1 $INT = 24.46 BDT, as of 31 st Dec 2012. Overall programme implementation costs required to run MNDR were 109,02,754 BDT (445,738 $INT $INT) in the first year (2010). In the following years cost reduced to 8,208,995 BDT (335,609 $INT, during 2011) and 6,622,166 BDT (270,735 $INT, during 2012). The average cost per activity required was 3070 BDT in 2010, 1887 BDT and 2207 BDT required in 2011 and 2012 respectively. Each death notification cost 4.09 $INT, verbal autopsy cost 8.18 $INT, and social autopsy cost 16.35 $INT. Facility death notification cost 2.04 $INT and facility death review meetings cost 20.44 $INT. One death saved by MNDR costs 53,654 BDT (2193 $INT). Programmatic implementation cost of conducting MPDR give an idea on how much cost will be required to run a death review system for a low income country settings using government health system.

The economic cost of implementing maternal and neonatal death review in a district of Bangladesh

Directory of Open Access Journals (Sweden)

Animesh Biswas

2016-12-01

Full Text Available Introduction: Maternal and neonatal death review (MNDR introduced in Bangladesh and initially piloted in a district during 2010. MNDR is able to capture each of the maternal, neonatal deaths and stillbirths from the community and government facilities (hospitals. This study aimed to estimate the cost required to implement MNDR in a district of Bangladesh during 2010-2012. Materials and methods: MNDR was implemented in Thakurgaon district in 2010 and later gradually extended until 2015. MNDR implementation framework, guidelines, tools and manual were developed at the national level with national level stakeholders including government health and family planning staff at different cadre for piloting at Thakurgaon. Programme implementation costs were calculated by year of costing and costing as per component of MNDR in 2013. The purchasing power parity conversion rate was 1 $INT = 24.46 BDT, as of 31st Dec 2012. Results: Overall programme implementation costs required to run MNDR were 109,02,754 BDT (445,738 $INT $INT in the first year (2010. In the following years cost reduced to 8,208,995 BDT (335,609 $INT, during 2011 and 6,622,166 BDT (270,735 $INT, during 2012. The average cost per activity required was 3070 BDT in 2010, 1887 BDT and 2207 BDT required in 2011 and 2012 respectively. Each death notification cost 4.09 $INT, verbal autopsy cost 8.18 $INT, and social autopsy cost 16.35 $INT. Facility death notification cost 2.04 $INT and facility death review meetings cost 20.44 $INT. One death saved by MNDR costs 53,654 BDT (2193 $INT.Conclusions: Programmatic implementation cost of conducting MPDR give an idea on how much cost will be required to run a death review system for a low income country settings using government health system.

Klaas ja mõis / Maie-Ann Raun

Index Scriptorium Estoniae

Raun, Maie-Ann, 1938-

2007-01-01

Klaasikunstinäitus "Ringkäik" Albu mõisas, kuraatorid Virve Kiil, Kati Kerstna, Kairi Orgusaar. Eksponeeritakse Tiina Sarapu, Mare Saare, Eeva Käsperi, Kai Kiudsoo-Värvi, Pilvi Ojamaa, Merle Bukoveci, Kalli Seina, Viivi-Ann Keerdo, Liisi Junolaineni, Kristiina Uslari, Ivo Lille töid

Prediction of Splitting Tensile Strength of Concrete Containing Zeolite and Diatomite by ANN

Directory of Open Access Journals (Sweden)

E. Gülbandılar

2017-01-01

Full Text Available This study was designed to investigate with two different artificial neural network (ANN prediction model for the behavior of concrete containing zeolite and diatomite. For purpose of constructing this model, 7 different mixes with 63 specimens of the 28, 56 and 90 days splitting tensile strength experimental results of concrete containing zeolite, diatomite, both zeolite and diatomite used in training and testing for ANN systems was gathered from the tests. The data used in the ANN models are arranged in a format of seven input parameters that cover the age of samples, Portland cement, zeolite, diatomite, aggregate, water and hyper plasticizer and an output parameter which is splitting tensile strength of concrete. In the model, the training and testing results have shown that two different ANN systems have strong potential as a feasible tool for predicting 28, 56 and 90 days the splitting tensile strength of concrete containing zeolite and diatomite.

Application of ANN-SCE model on the evaluation of automatic generation control performance

Energy Technology Data Exchange (ETDEWEB)

Chang-Chien, L.R.; Lo, C.S.; Lee, K.S. [National Cheng Kung Univ., Tainan, Taiwan (China)

2005-07-01

An accurate evaluation of load frequency control (LFC) performance is needed to balance minute-to-minute electricity generation and demand. In this study, an artificial neural network-based system control error (ANN-SCE) model was used to assess the performance of automatic generation controls (AGC). The model was used to identify system dynamics for control references in supplementing AGC logic. The artificial neural network control error model was used to track a single area's LFC dynamics in Taiwan. The model was used to gauge the impacts of regulation control. Results of the training, evaluating, and projecting processes showed that the ANN-SCE model could be algebraically decomposed into components corresponding to different impact factors. The SCE information obtained from testing of various AGC gains provided data for the creation of a new control approach. The ANN-SCE model was used in conjunction with load forecasting and scheduled generation data to create an ANN-SCE identifier. The model successfully simulated SCE dynamics. 13 refs., 10 figs.

O tradutor/intérprete de língua de sinais: um mediador de fronteiras culturais

Directory of Open Access Journals (Sweden)

Izaulita César Moura

2017-01-01

Full Text Available Discute-se a importância do tradutor/intérprete de Língua de Sinais enquanto um mediador de fronteiras entre dois mundos culturais. Busca-se dar visibilidade à complexidade da tarefa do intérprete não apenas no campo da linguagem, mas também na área da subjetividade, levando em conta contribuições da Psicanálise. Partiu-se de uma pesquisa qualitativa realizada no Instituto Nacional de Educação de Surdos que abordou o tema da linguagem e subjetividade com alunos com surdez profunda. Concluiu-se que o papel social e subjetivo do intérprete de Libras precisa ser mais bem compreendido. O desafio não é apenas traduzir e informar, mas saber guardar os próprios pensamentos e sentimentos, para ser porta voz da fala, da expressão e da emoção de outra pessoa, de um sujeito que se manifesta em total alteridade. Assim, facetas menos conhecidas do papel intersubjetivo do tradutor/intérprete são apontadas.

Groundwater Pollution Source Identification using Linked ANN-Optimization Model

Science.gov (United States)

Ayaz, Md; Srivastava, Rajesh; Jain, Ashu

2014-05-01

Groundwater is the principal source of drinking water in several parts of the world. Contamination of groundwater has become a serious health and environmental problem today. Human activities including industrial and agricultural activities are generally responsible for this contamination. Identification of groundwater pollution source is a major step in groundwater pollution remediation. Complete knowledge of pollution source in terms of its source characteristics is essential to adopt an effective remediation strategy. Groundwater pollution source is said to be identified completely when the source characteristics - location, strength and release period - are known. Identification of unknown groundwater pollution source is an ill-posed inverse problem. It becomes more difficult for real field conditions, when the lag time between the first reading at observation well and the time at which the source becomes active is not known. We developed a linked ANN-Optimization model for complete identification of an unknown groundwater pollution source. The model comprises two parts- an optimization model and an ANN model. Decision variables of linked ANN-Optimization model contain source location and release period of pollution source. An objective function is formulated using the spatial and temporal data of observed and simulated concentrations, and then minimized to identify the pollution source parameters. In the formulation of the objective function, we require the lag time which is not known. An ANN model with one hidden layer is trained using Levenberg-Marquardt algorithm to find the lag time. Different combinations of source locations and release periods are used as inputs and lag time is obtained as the output. Performance of the proposed model is evaluated for two and three dimensional case with error-free and erroneous data. Erroneous data was generated by adding uniformly distributed random error (error level 0-10%) to the analytically computed concentration

Prediction of Film Cooling Effectiveness on a Gas Turbine Blade Leading Edge Using ANN and CFD

Science.gov (United States)

Dávalos, J. O.; García, J. C.; Urquiza, G.; Huicochea, A.; De Santiago, O.

2018-05-01

In this work, the area-averaged film cooling effectiveness (AAFCE) on a gas turbine blade leading edge was predicted by employing an artificial neural network (ANN) using as input variables: hole diameter, injection angle, blowing ratio, hole and columns pitch. The database used to train the network was built using computational fluid dynamics (CFD) based on a two level full factorial design of experiments. The CFD numerical model was validated with an experimental rig, where a first stage blade of a gas turbine was represented by a cylindrical specimen. The ANN architecture was composed of three layers with four neurons in hidden layer and Levenberg-Marquardt was selected as ANN optimization algorithm. The AAFCE was successfully predicted by the ANN with a regression coefficient R2<0.99 and a root mean square error RMSE=0.0038. The ANN weight coefficients were used to estimate the relative importance of the input parameters. Blowing ratio was the most influential parameter with relative importance of 40.36 % followed by hole diameter. Additionally, by using the ANN model, the relationship between input parameters was analyzed.

Quick and reliable estimation of power distribution in a PHWR by ANN

International Nuclear Information System (INIS)

Dubey, B.P.; Jagannathan, V.; Kataria, S.K.

1998-01-01

Knowledge of the distribution of power in all the channels of a Pressurised Heavy Water Reactor (PHWR) as a result of a perturbation caused by one or more of the regulating devices is very important from the operation and maintenance point of view of the reactor. Theoretical design codes available for this purpose take several minutes to calculate the channel power distribution on modern PCs. Artificial Neural networks (ANNs) have been employed in predicting channel power distribution of Indian PHWRs for any given configuration of regulating devices of the reactor. ANNs produce the result much faster and with good accuracy. This paper describes the methodology of ANN, its reliability, the validation range, and scope for its possible on-line use in the actual reactor

The Royal Summer Palace, Ferdinand I and Anne

Czech Academy of Sciences Publication Activity Database

Dobalová, Sylva

2015-01-01

Roč. 7, č. 2 (2015), s. 162-175 ISSN 1804-1132 Institutional support: RVO:68378033 Keywords : Anne of Jagiello * Prague Castle * Ferdinand I of Habsburg * olive tree * dynasticism Subject RIV: AL - Art, Architecture, Cultural Heritage

Comparison of ANN and RKS approaches to model SCC strength

Science.gov (United States)

Prakash, Aravind J.; Sathyan, Dhanya; Anand, K. B.; Aravind, N. R.

2018-02-01

Self compacting concrete (SCC) is a high performance concrete that has high flowability and can be used in heavily reinforced concrete members with minimal compaction segregation and bleeding. The mix proportioning of SCC is highly complex and large number of trials are required to get the mix with the desired properties resulting in the wastage of materials and time. The research on SCC has been highly empirical and no theoretical relationships have been developed between the mixture proportioning and engineering properties of SCC. In this work effectiveness of artificial neural network (ANN) and random kitchen sink algorithm(RKS) with regularized least square algorithm(RLS) in predicting the split tensile strength of the SCC is analysed. Random kitchen sink algorithm is used for mapping data to higher dimension and classification of this data is done using Regularized least square algorithm. The training and testing data for the algorithm was obtained experimentally using standard test procedures and materials available. Total of 40 trials were done which were used as the training and testing data. Trials were performed by varying the amount of fine aggregate, coarse aggregate, dosage and type of super plasticizer and water. Prediction accuracy of the ANN and RKS model is checked by comparing the RMSE value of both ANN and RKS. Analysis shows that eventhough the RKS model is good for large data set, its prediction accuracy is as good as conventional prediction method like ANN so the split tensile strength model developed by RKS can be used in industries for the proportioning of SCC with tailor made property.

Ilmus artiklikogumik "Eesti teadlased paguluses" / Anne Valmas

Index Scriptorium Estoniae

Valmas, Anne, 1941-2017

2009-01-01

TLÜ AR väliseesti kirjanduse keskuse ja TTÜ Raamatukogu koostöös 24.03.2009 toimunud konverentsist "Eesti teadlased paguluses", mis tutvustas väliseesti teadlaste osa maailmateaduses. Ettekannete põhjal valminud artiklikogumikust "Eesti teadlased paguluses", koostajad Vahur Mägi ja Anne Valmas. Tallinn : Tallinna Ülikooli Kirjastus, 2009

Perbandingan Metode ANN-PSO Dan ANN-GA Dalam Pemodelan Komposisi Pakan Kambing Peranakan Etawa (PE Untuk Optimasi Kandungan Gizi

Directory of Open Access Journals (Sweden)

Canny Amerilyse Caesar

2016-09-01

Abstract Milk is one of the animal protein sources which it contains all of the substances needed by human body. The main milk producer cattle in Indonesia is dairy cow, however its milk production has not fulfilled the society needs. The alternative is the goat, the Etawa crossbreed (PE. The high quality of milk nutrients content is greatly influenced by some factors one of them, is the food factor. The PE goat livestock division of the UPT Cattle Breeding and the Cattle Food Greenery in Singosari-Malang still faces the problem, it is the low ability in giving the food composition for PE goat. This flaw affects the quality of the produced milk. It needs the artificial science of the milk nutrients contain in order to determine the food composition to produce premium milk with the optimum nutrients contain. The writer uses the method of the Artificial Neural Network (ANN and the Particle Swarm Optimization (PSO to make the modeling of goat food in optimizing the content of goat milk nutrients. In the analysis of the examination that is done with the case of 36 kg goat weight, also the food type used is the 70 % Odot grass and 30% Raja grass can increase the nutrients contain of the protein milk for 0.707% and decrease the fat nutrients contain for 0.879%. If uses the method of Artificial Neural Network (ANN and Genethic Algorithm (GA can increase the nutriens contain of the protein for 0.0852% and decrease the fat nutients contain for 2.3254%.   Key Words : Goat Milk, Optimization, Artificial Neural Network (ANN, Particle Swarm Optimization (PSO, Genetic Algorithm (GA, the food nutrients contain.

Eesti NATO ukselävel / Mari-Ann Kelam

Index Scriptorium Estoniae

Kelam, Mari-Ann, 1946-

2002-01-01

Seda, et NATO liitumisläbirääkimistele kutsutavate seas on ka Eesti, saab veel tänagi pidada üheks meie iseseisva riikluse suursaavutuseks, kui mitte imeks, kirjutab Riigikogu liige Mari-Ann Kelam. Autor: Isamaaliit. Parlamendisaadik

A Sensitive ANN Based Differential Relay for Transformer Protection with Security against CT Saturation and Tap Changer Operation

OpenAIRE

KHORASHADI-ZADEH, Hassan; LI, Zuyi

2014-01-01

This paper presents an artificial neural network (ANN) based scheme for fault identification in power transformer protection. The proposed scheme is featured by the application of ANN to identifying system patterns, the unique choice of harmonics of positive sequence differential currents as ANN inputs, the effective handling of current transformer (CT) saturation with an ANN based approach, and the consideration of tap changer position for correcting secondary CT current. Performanc...

BioInt: an integrative biological object-oriented application framework and interpreter.

Science.gov (United States)

Desai, Sanket; Burra, Prasad

2015-01-01

BioInt, a biological programming application framework and interpreter, is an attempt to equip the researchers with seamless integration, efficient extraction and effortless analysis of the data from various biological databases and algorithms. Based on the type of biological data, algorithms and related functionalities, a biology-specific framework was developed which has nine modules. The modules are a compilation of numerous reusable BioADTs. This software ecosystem containing more than 450 biological objects underneath the interpreter makes it flexible, integrative and comprehensive. Similar to Python, BioInt eliminates the compilation and linking steps cutting the time significantly. The researcher can write the scripts using available BioADTs (following C++ syntax) and execute them interactively or use as a command line application. It has features that enable automation, extension of the framework with new/external BioADTs/libraries and deployment of complex work flows.

Igal mõisal on oma lugu / Mari-Ann Remmel

Index Scriptorium Estoniae

Remmel, Mari-Ann

2008-01-01

Kirjastuselt "Tänapäev" ilmus raamat "Mõisalegendid. Harjumaa", koostaja Mari-Ann Remmel, kujundaja Angelika Schneider. Kogumik sisaldab ka ajaloolist ning genealoogilist teavet mõisahoonete ning -omanike kohta

A page is turned with the departure of Anne-Sylvie Catherin

CERN Multimedia

Staff Association

2016-01-01

The Staff Association wants to thank Anne Sylvie Catherin for her achievements during her career at CERN, and in particular during her mandate of head of the Human Resources Department. Anne-Sylvie Catherin arrived at CERN as a lawyer specialized in labor law of International Organizations, and she brought along her knowledge, as well as an unparalleled energy and professionalism. The Staff Association has particularly appreciated her collaborative approach during discussions in the concertation process. This attitude has clearly contributed to the implementation of significant change in the management of human resources, while preserving social peace. We expect that the person who will succeed Anne-Sylvie Catherin will have the same constructive attitude, in respect of the concertation process, as well as a continuity in the definition and implementation of HR processes. Finally, we hope that the new head of HR will be able to develop a long-term vision for the Organization and its staff, measuring to the vi...

Process Control Strategies for Dual-Phase Steel Manufacturing Using ANN and ANFIS

Science.gov (United States)

Vafaeenezhad, H.; Ghanei, S.; Seyedein, S. H.; Beygi, H.; Mazinani, M.

2014-11-01

In this research, a comprehensive soft computational approach is presented for the analysis of the influencing parameters on manufacturing of dual-phase steels. A set of experimental data have been gathered to obtain the initial database used for the training and testing of both artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The parameters used in the strategy were intercritical annealing temperature, carbon content, and holding time which gives off martensite percentage as an output. A fraction of the data set was chosen to train both ANN and ANFIS, and the rest was put into practice to authenticate the act of the trained networks while seeing unseen data. To compare the obtained results, coefficient of determination and root mean squared error indexes were chosen. Using artificial intelligence methods, it is not necessary to consider and establish a preliminary mathematical model and formulate its affecting parameters on its definition. In conclusion, the martensite percentages corresponding to the manufacturing parameters can be determined prior to a production using these controlling algorithms. Although the results acquired from both ANN and ANFIS are very encouraging, the proposed ANFIS has enhanced performance over the ANN and takes better effect on cost-reduction profit.

Anne-Marie Sargueil: ilu on kasulik / intervjueerinud Emilie Toomela

Index Scriptorium Estoniae

Sargueil, Anne-Marie

2015-01-01

Prantsuse Disainiinstituudi juht Anne-Marie Sargueil rääkis prantsuse ja skandinaavia disainist, prantslaste disainieelistustest, uutest suundadest disaini valdkonnas, Eesti Tarbekunsti- ja Disainimuuseumis avatud näitusest "20 prantsuse disainiikooni"

Éléments de compréhension du processus de politisation du discours sur la gestion intégrée des zones côtières

Directory of Open Access Journals (Sweden)

Céline Ségalini

2011-12-01

Full Text Available Le discours sur la « gestion intégrée des zones côtières » (GIZC est devenu aujourd'hui incontournable pour les politiques de gestion du littoral. A travers une mise en perspective de l'approche GIZC autour de l'évolution de la pensée écologiste depuis les années 1970, ce papier invite à porter un regard différent sur son émergence politique. Après avoir montré quels sont les mécanismes généralement retenus par la littérature pour dépeindre le processus de politisation de ce discours, il souligne l'importance de tenir compte du cadre cognitif général dans lequel il s'insère. Ainsi, la politisation de l'approche GIZC s'explique en partie par la reconnaissance sociale du développement durable, laquelle rompt avec l'écologisme critique dominant des années 1970.Nowadays, the discourse on “integrated coastal zone management” (ICZM is essential in coastal management policies. Through a comprehension of the evolution of the environmental discourse since the 1970s, this paper offers a fresh perspective to understand the politicization of the ICZM approach. After showing what mechanisms are generally put forward in the literature to depict this politicization, it emphasizes the importance considering its overall cognitive framework. Thus, politicization of ICZM discourse is partly linked with the social recognition of sustainable development thought, which breaks with the dominant critical environmentalism of the 1970s.

Anne-Sylvie Catherin, Head of the Human Resources Department

CERN Multimedia

2009-01-01

Anne-Sylvie Catherin has been appointed Head of the Human Resources Department with effect from 1 August 2009. Mrs Catherin is a lawyer specialized in International Administration and joined CERN in 1996 as legal advisor within the Office of the HR Department Head. After having been promoted to the position of Group Leader responsible for social and statutory conditions in 2000, Mrs Catherin was appointed Deputy of the Head of the Human Resources Department and Group Leader responsible for Strategy, Management and Development from 2005 to date. Since 2005, she has also served as a member of CCP and TREF. In the execution of her mandate as Deputy HR Department Head, Mrs Catherin closely assisted the HR Department Head in the organization of the Department and in devising new HR policies and strategies. She played an instrumental role in the last five-yearly review and in the revision of the Staff Rules and Regulations.

Application of ANN and fuzzy logic algorithms for streamflow ...

Indian Academy of Sciences (India)

1Department of Soil and Water Engineering, College of Technology and Engineering, Maharana Pratap. University of ... It was found that, ANN model performance improved with increasing .... algorithm uses supervised learning that provides.

Démarche intégrée pour assurer la sécurité alimentaire et ...

International Development Research Centre (IDRC) Digital Library (Canada)

Démarche intégrée pour assurer la sécurité alimentaire et nutritionnelle aux Philippines. La malnutrition demeure un problème grave aux Philippines, notamment chez les enfants. La mise en place de programmes intégrés de nutrition et de culture potagère dans les écoles pourrait-elle contribuer à remédier à ce problème ...

Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study.

Science.gov (United States)

Kamesh, Reddi; Rani, Kalipatnapu Yamuna

2017-12-01

In this paper, a novel formulation for nonlinear model predictive control (MPC) has been proposed incorporating the extended Kalman filter (EKF) control concept using a purely data-driven artificial neural network (ANN) model based on measurements for supervisory control. The proposed scheme consists of two modules focusing on online parameter estimation based on past measurements and control estimation over control horizon based on minimizing the deviation of model output predictions from set points along the prediction horizon. An industrial case study for temperature control of a multiproduct semibatch polymerization reactor posed as a challenge problem has been considered as a test bed to apply the proposed ANN-EKFMPC strategy at supervisory level as a cascade control configuration along with proportional integral controller [ANN-EKFMPC with PI (ANN-EKFMPC-PI)]. The proposed approach is formulated incorporating all aspects of MPC including move suppression factor for control effort minimization and constraint-handling capability including terminal constraints. The nominal stability analysis and offset-free tracking capabilities of the proposed controller are proved. Its performance is evaluated by comparison with a standard MPC-based cascade control approach using the same adaptive ANN model. The ANN-EKFMPC-PI control configuration has shown better controller performance in terms of temperature tracking, smoother input profiles, as well as constraint-handling ability compared with the ANN-MPC with PI approach for two products in summer and winter. The proposed scheme is found to be versatile although it is based on a purely data-driven model with online parameter estimation.

Kui vana on kunstnik? / Anneli Porri

Index Scriptorium Estoniae

Porri, Anneli, 1980-

2003-01-01

Rahvusvahelise kunstihariduse konverentsi "InSea on Sea" raames Kunstiakadeemia galeriis Karin Laansoo kureeritud Tallinna Kunstikooli õpilaste tööde näitus "MÄRKmed", Draakoni galeriis Mari Sobolevi kureeritud Viljandi Maagümnaasiumi kunstistuudio näitus "Sisseastumiseksam maailma", rahvusraamatukogus Anneli Porri kureeritud näitus "Kokkuvõte" EKA tänavuste lõpetajate töödest ja näitus "Leitud tagahoovist", Kullo galeriis rahvusvaheline näitus "Dialoog erinevuste vahel"

XII — Taux de l’intérêt, taux de l’escompte, prix de l’or

OpenAIRE

Juglar, Clément

2014-01-01

[Taux de l’intérêt à long et à court terme. — Qu’est-ce qui règle le taux de l’intérêt ? — Variations du taux de l’intérêt en France et en Angleterre. — Taux de l’escompte. Écart de prix entre les ventes à terme et les ventes au comptant. — La banque ne commandite pas le travail, elle fait circuler le crédit. — Le taux de capitalisation des rentes ne suit pas le taux de l’escompte. — Influence de la hausse de l’escompte. — Hausse de l’escompte, prix de l’or, flux et reflux des métaux précieux...

Modeling of an Aged Porous Silicon Humidity Sensor Using ANN Technique

Directory of Open Access Journals (Sweden)

Tarikul ISLAM

2006-10-01

Full Text Available Porous silicon (PS sensor based on capacitive technique used for measuring relative humidity has the advantages of low cost, ease of fabrication with controlled structure and CMOS compatibility. But the response of the sensor is nonlinear function of humidity and suffers from errors due to aging and stability. One adaptive linear (ADALINE ANN model has been developed to model the behavior of the sensor with a view to estimate these errors and compensate them. The response of the sensor is represented by third order polynomial basis function whose coefficients are determined by the ANN technique. The drift in sensor output due to aging of PS layer is also modeled by adapting the weights of the polynomial function. ANN based modeling is found to be more suitable than conventional physical modeling of PS humidity sensor in changing environment and drift due to aging. It helps online estimation of nonlinearity as well as monitoring of the fault of the PS humidity sensor using the coefficients of the model.

Progrès de l'intégration régionale, rôle et stratégie du Groupe de la

International Development Research Centre (IDRC) Digital Library (Canada)

mgv3643

8 déc. 2009 ... 1. Progrès de l‟Intégration Régionale,. Rôle et Stratégie du Groupe de la Banque Africaine de Développement dans la promotion de l‟intégration régionale en Afrique. Gabriel Mougani. Département NEPAD, Intégration Régionale et Commerce ...

Artificial Neural Networks (ANNs for flood forecasting at Dongola Station in the River Nile, Sudan

Directory of Open Access Journals (Sweden)

Sulafa Hag Elsafi

2014-09-01

Full Text Available Heavy seasonal rains cause the River Nile in Sudan to overflow and flood the surroundings areas. The floods destroy houses, crops, roads, and basic infrastructure, resulting in the displacement of people. This study aimed to forecast the River Nile flow at Dongola Station in Sudan using an Artificial Neural Network (ANN as a modeling tool and validated the accuracy of the model against actual flow. The ANN model was formulated to simulate flows at a certain location in the river reach, based on flow at upstream locations. Different procedures were applied to predict flooding by the ANN. Readings from stations along the Blue Nile, White Nile, Main Nile, and River Atbara between 1965 and 2003 were used to predict the likelihood of flooding at Dongola Station. The analysis indicated that the ANN provides a reliable means of detecting the flood hazard in the River Nile.

Steni muinasjutuvõistluse võitjad selgunud / Ants Roos, Ann Roos

Index Scriptorium Estoniae

Roos, Ants

2008-01-01

Steni XVI muinasjutuvõistluse žüriisse kuulusid: Ann Roos, Ants Roos, Leelo Tungal, Krista Kumberg, Leida Olszak, Ülle Väljataga. Tulemused: I koht Siim Niinelaid, II koht Julius Air Kull, III koht Mihkel Rammu. Žürii eriauhinnad: Anna Kristin Peterson, Elis Ruus, Rain Hallikas, Mariliis Peterson, Marjaliisa Palu, Karl Kirsimäe, Margaret Pulk. Ergutusauhinnad: Karmel Klaus, Martti Kaljuste, Kristina Korell, Mirjam Võsaste, Mihkel Põder, Iirys Kalde, Miriam Jamul, Mari-Ann Mägi, Ketlin Saar, Liisbeth Kirss. Muud eriauhinnad said: Allan Läll, Berle Mees, Anett Kuuse, Karl Erik Kübarsepp, Grete Tamm, Siim Niinelaid, Kaisa Marie Sipelgas, Ellen Anett Põldmaa, Evelin Laul, Karl Laas, Karl Stamm, Kerli Retter

Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review

Science.gov (United States)

Fahimi, Farzad; Yaseen, Zaher Mundher; El-shafie, Ahmed

2017-05-01

Since the middle of the twentieth century, artificial intelligence (AI) models have been used widely in engineering and science problems. Water resource variable modeling and prediction are the most challenging issues in water engineering. Artificial neural network (ANN) is a common approach used to tackle this problem by using viable and efficient models. Numerous ANN models have been successfully developed to achieve more accurate results. In the current review, different ANN models in water resource applications and hydrological variable predictions are reviewed and outlined. In addition, recent hybrid models and their structures, input preprocessing, and optimization techniques are discussed and the results are compared with similar previous studies. Moreover, to achieve a comprehensive view of the literature, many articles that applied ANN models together with other techniques are included. Consequently, coupling procedure, model evaluation, and performance comparison of hybrid models with conventional ANN models are assessed, as well as, taxonomy and hybrid ANN models structures. Finally, current challenges and recommendations for future researches are indicated and new hybrid approaches are proposed.

Luksuslik ruum kõigile : vestlus arhitekt Anne Lacatoniga = Luxury space for everyone : interview with Anne Lacaton / intervjueerinud Katrin Paadam

Index Scriptorium Estoniae

Lacaton, Anne, 1955-

2013-01-01

Prantsuse arhitekt Anne Lacaton oma büroo (Lacaton & Vassal, Frédéric Druot, 2011) linnaehituslikult uuendusliku projekti järgi ümber ehitatud 1960. aastate korterelamust Tour du Bois-le-Prêtre Pariisis, sotsiaalelamute ehitusest Prantsusmaal, 1960.-1970. aastatel ehitatud elamute taaskasutusega seotud probleemidest, rekonstrueerimise kasulikkusest võrreldes elamu lammutamise ja uuesti ehitamisega, linnas elavatele inimestele paremate elamistingimuste loomisest, linnaplaneerimisest

Using ANN and EPR models to predict carbon monoxide concentrations in urban area of Tabriz

Directory of Open Access Journals (Sweden)

Mohammad Shakerkhatibi

2015-09-01

Full Text Available Background: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regression (EPR model has recently been used as a forecasting tool in some environmental issues. In this research, we compared the ability of these models to forecast carbon monoxide (CO concentrations in the urban area of Tabriz city. Methods: The dataset of CO concentrations measured at the fixed stations operated by the East Azerbaijan Environmental Office along with meteorological data obtained from the East Azerbaijan Meteorological Bureau from March 2007 to March 2013, were used as input for the ANN and EPR models. Results: Based on the results, the performance of ANN is more reliable in comparison with EPR. Using the ANN model, the correlation coefficient values at all monitoring stations were calculated above 0.85. Conversely, the R2 values for these stations were obtained <0.41 using the EPR model. Conclusion: The EPR model could not overcome the nonlinearities of input data. However, the ANN model displayed more accurate results compared to the EPR. Hence, the ANN models are robust tools for predicting air pollutant concentrations.

Predicting the Deflections of Micromachined Electrostatic Actuators Using Artificial Neural Network (ANN

Directory of Open Access Journals (Sweden)

Hing Wah LEE

2009-03-01

Full Text Available In this study, a general purpose Artificial Neural Network (ANN model based on the feed-forward back-propagation (FFBP algorithm has been used to predict the deflections of a micromachined structures actuated electrostatically under different loadings and geometrical parameters. A limited range of simulation results obtained via CoventorWare™ numerical software will be used initially to train the neural network via back-propagation algorithm. The micromachined structures considered in the analyses are diaphragm, fixed-fixed beams and cantilevers. ANN simulation results are compared with results obtained via CoventorWare™ simulations and existing analytical work for validation purpose. The proposed ANN model accurately predicts the deflections of the micromachined structures with great reduction of simulation efforts, establishing the method superiority. This method can be extended for applications in other sensors particularly for modeling sensors applying electrostatic actuation which are difficult in nature due to the inherent non-linearity of the electro-mechanical coupling response.

Ants Orasest ja Anne Lange monograafiast / Jüri Talvet

Index Scriptorium Estoniae

Talvet, Jüri, 1945-

2005-01-01

Arvustus: Oras, Ants. Luulekool. I, Apoloogia / koostajad Hando Runnel ja Jaak Rähesoo. Tartu : Ilmamaa, 2003 ; Oras, Ants. Luulekool II, Meistriklass. Tartu : Ilmamaa, 2004 ; Lange, Anne. Ants Oras : [kirjandusteadlane, -kriitik ja tõlkija (1900-1982)]. Tartu : Ilmamaa, 2004

Construction d’un outil pour évaluer le degré d’intégration des TIC dans l’enseignement

Directory of Open Access Journals (Sweden)

Pierre-François Coen

2006-01-01

Full Text Available Après un bref survol des enjeux liés à l’intégration des TIC dans l’enseignement, cet article présente le processus de construction d’un instrument (les Vignettes de situation pour l’intégration des TIC ou Visi-TIC destiné à évaluer le degré d’intégration des TIC dans l’enseignement. Il présente les différentes étapes d’élaboration et de validation de cet outil. Proposé en deux variantes (française/allemande pour des élèves âgés de 6 à 7 ans jusqu’à 18 ans, ce nouvel outil s’appuie sur le modèle systémique de l’innovation de Depover et Strebelle (1997, et présente l’avantage d’envisager l’intégration des TIC dans une dynamique de changement.

Hiina tervendus / kommenteerivad Anne, Julia, Weihong Song, Fagang Ren

Index Scriptorium Estoniae

2013-01-01

Tallinnas Tulika 19 asuvast Bai Lan Hiina massaažisalongist, kus ravitakse kuputeraapia, gua sha kraapimisplaatide, moksa, nõelravi ja punktmassaaži abil. Tui na massaaži ja hiina loodusteraapia protseduure kommenteerivad spetsialistid ning patsiendid Anne ja Julia

How do authors of systematic reviews deal with research malpractice and misconduct in original studies? A cross-sectional analysis of systematic reviews and survey of their authors.

Science.gov (United States)

Elia, Nadia; von Elm, Erik; Chatagner, Alexandra; Pöpping, Daniel M; Tramèr, Martin R

2016-03-02

To study whether systematic reviewers apply procedures to counter-balance some common forms of research malpractice such as not publishing completed research, duplicate publications, or selective reporting of outcomes, and to see whether they identify and report misconduct. Cross-sectional analysis of systematic reviews and survey of their authors. 118 systematic reviews published in four journals (Ann Int Med, BMJ, JAMA, Lancet), and the Cochrane Library, in 2013. Number (%) of reviews that applied procedures to reduce the impact of: (1) publication bias (through searching of unpublished trials), (2) selective outcome reporting (by contacting the authors of the original studies), (3) duplicate publications, (4) sponsors' and (5) authors' conflicts of interest, on the conclusions of the review, and (6) looked for ethical approval of the studies. Number (%) of reviewers who suspected misconduct are reported. The procedures applied were compared across journals. 80 (68%) reviewers confirmed their data. 59 (50%) reviews applied three or more procedures; 11 (9%) applied none. Unpublished trials were searched in 79 (66%) reviews. Authors of original studies were contacted in 73 (62%). Duplicate publications were searched in 81 (69%). 27 reviews (23%) reported sponsors of the included studies; 6 (5%) analysed their impact on the conclusions of the review. Five reviews (4%) looked at conflicts of interest of study authors; none of them analysed their impact. Three reviews (2.5%) looked at ethical approval of the studies. Seven reviews (6%) suspected misconduct; only 2 (2%) reported it explicitly. Procedures applied differed across the journals. Only half of the systematic reviews applied three or more of the six procedures examined. Sponsors, conflicts of interest of authors and ethical approval remain overlooked. Research misconduct is sometimes identified, but rarely reported. Guidance on when, and how, to report suspected misconduct is needed. Published by the BMJ

Vene ja prantsuse kunsti imetlemisest Londonis / Ann Alari

Index Scriptorium Estoniae

Alari, Ann

2008-01-01

Näitus "Venemaalt pärit prantsuse ja vene shedöövrid" kuningliku kunstiakadeemia saalides Londonis. Vaatluse all oli ajavahemik 1870 kuni 1925. Tööd olid pärit Moskvas elanud tekstiilitöösturitest suurärimeeste Sergei Shtshukini ja Ivan Morozovi kogudest, mis 1917. a. natsionaliseeriti. Kuraator Ann Dumas

ANN-PSO Integrated Optimization Methodology for Intelligent Control of MMC Machining

Science.gov (United States)

Chandrasekaran, Muthumari; Tamang, Santosh

2017-08-01

Metal Matrix Composites (MMC) show improved properties in comparison with non-reinforced alloys and have found increased application in automotive and aerospace industries. The selection of optimum machining parameters to produce components of desired surface roughness is of great concern considering the quality and economy of manufacturing process. In this study, a surface roughness prediction model for turning Al-SiCp MMC is developed using Artificial Neural Network (ANN). Three turning parameters viz., spindle speed ( N), feed rate ( f) and depth of cut ( d) were considered as input neurons and surface roughness was an output neuron. ANN architecture having 3 -5 -1 is found to be optimum and the model predicts with an average percentage error of 7.72 %. Particle Swarm Optimization (PSO) technique is used for optimizing parameters to minimize machining time. The innovative aspect of this work is the development of an integrated ANN-PSO optimization method for intelligent control of MMC machining process applicable to manufacturing industries. The robustness of the method shows its superiority for obtaining optimum cutting parameters satisfying desired surface roughness. The method has better convergent capability with minimum number of iterations.

Prediction of scour below submerged pipeline crossing a river using ANN.

Science.gov (United States)

Azamathulla, H M; Zakaria, Nor Azazi

2011-01-01

The process involved in the local scour below pipelines is so complex that it makes it difficult to establish a general empirical model to provide accurate estimation for scour. This paper describes the use of artificial neural networks (ANN) to estimate the pipeline scour depth. The data sets of laboratory measurements were collected from published works and used to train the network or evolve the program. The developed networks were validated by using the observations that were not involved in training. The performance of ANN was found to be more effective when compared with the results of regression equations in predicting the scour depth around pipelines.

Artificial neural network (ANN) approach for modeling Zn(II) adsorption in batch process

Energy Technology Data Exchange (ETDEWEB)

Yildiz, Sayiter [Engineering Faculty, Cumhuriyet University, Sivas (Turkmenistan)

2017-09-15

Artificial neural networks (ANN) were applied to predict adsorption efficiency of peanut shells for the removal of Zn(II) ions from aqueous solutions. Effects of initial pH, Zn(II) concentrations, temperature, contact duration and adsorbent dosage were determined in batch experiments. The sorption capacities of the sorbents were predicted with the aid of equilibrium and kinetic models. The Zn(II) ions adsorption onto peanut shell was better defined by the pseudo-second-order kinetic model, for both initial pH, and temperature. The highest R{sup 2} value in isotherm studies was obtained from Freundlich isotherm for the inlet concentration and from Temkin isotherm for the sorbent amount. The high R{sup 2} values prove that modeling the adsorption process with ANN is a satisfactory approach. The experimental results and the predicted results by the model with the ANN were found to be highly compatible with each other.

Artificial neural network (ANN) approach for modeling Zn(II) adsorption in batch process

International Nuclear Information System (INIS)

Yildiz, Sayiter

2017-01-01

Artificial neural networks (ANN) were applied to predict adsorption efficiency of peanut shells for the removal of Zn(II) ions from aqueous solutions. Effects of initial pH, Zn(II) concentrations, temperature, contact duration and adsorbent dosage were determined in batch experiments. The sorption capacities of the sorbents were predicted with the aid of equilibrium and kinetic models. The Zn(II) ions adsorption onto peanut shell was better defined by the pseudo-second-order kinetic model, for both initial pH, and temperature. The highest R"2 value in isotherm studies was obtained from Freundlich isotherm for the inlet concentration and from Temkin isotherm for the sorbent amount. The high R"2 values prove that modeling the adsorption process with ANN is a satisfactory approach. The experimental results and the predicted results by the model with the ANN were found to be highly compatible with each other.

Méthode intégro-variationnelle appliquée aux probèmes intérieur et extérieur avec surface libre de l'hydrodynamique linéaire Integro-Variational Method Applied to Indoor and Outdoor Problems with a Free Surface of Linear Hydrodinamics

Directory of Open Access Journals (Sweden)

Berhault C.

2006-11-01

Full Text Available Le but de cet article est de montrer que l'on peut appliquer une rintégro-variationnelle pour résoudre les problèmes intérieur (comportementliquide en milieu confiné et extérieur (diffraction-radiation de l'hydrodynamique linéaire. Une comparaison des résultats obtenus pour le problème intérieur dans Q les méthodes classiques : équation intégrale (singularités et formulation rationnelle (éléments finis, montre les avantages de cette méthode. The aim of this article is to show that an integro-variational method can be applied for solving interior (behavior of a liquid in a confined environment and exterior (diffraction-radiation problems of linear hydrodynamics. A comparison of the results obtained for the interior problem in IR2 with conventional methods, i.e. intégral équation (singularities and variational formulation (finite elements, shows the advantages of this method.

Intelligent MRTD testing for thermal imaging system using ANN

Science.gov (United States)

Sun, Junyue; Ma, Dongmei

2006-01-01

The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task, for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type, the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP, but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly, we use frame grabber to capture the 4-bar target image data. Then according to image gray scale, we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets, along with known target visibility, are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm, demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.

Q&A: Grace Anne Koppel, Living Well with COPD

Science.gov (United States)

... their own lives back is the most rewarding thing we have ever done. Read More "The Challenge of COPD" Articles Q&A: Grace Anne Koppel, Living Well with COPD / What is COPD? / What Causes COPD? / Getting Tested / Am I at Risk? / COPD Quiz Fall ...

2017-2018 Travel Expense Reports for Mary Anne Chambers ...

International Development Research Centre (IDRC) Digital Library (Canada)

Chantal Taylor

Ottawa. Airfare: $368.41. Other. Transportation: $69.95. Accommodation: $542.79. Meals and. Incidentals: $164.42. Other: $0.00. Total: $1,145.57. Comments: From residence in Thornhill, Ontario. 2017-2018 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the. Human Resources Committee.

2017-2018 Travel Expense Reports for Mary Anne Chambers ...

International Development Research Centre (IDRC) Digital Library (Canada)

Chantal Taylor

Ottawa. Airfare: $563.72. Other. Transportation: $74.26. Accommodation: $0.00. Meals and. Incidentals: $46.17. Other: $30.00. Total: $714.15. Comments: From residence in Thornhill, Ontario. 2017-2018 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the. Human Resources Committee.

Professor Anne Khademian named National Academy of Public Administration Fellow

OpenAIRE

Chadwick, Heather Riley

2009-01-01

Anne Khademian, professor with Virginia Tech's Center for Public Administration and Policy, School of Public and International Affairs, at the Alexandria, Va., campus has been elected a National Academy of Public Administration (NAPA) Fellow.

Theory Study and Application of the BP-ANN Method for Power Grid Short-Term Load Forecasting

Institute of Scientific and Technical Information of China (English)

Xia Hua; Gang Zhang; Jiawei Yang; Zhengyuan Li

2015-01-01

Aiming at the low accuracy problem of power system short⁃term load forecasting by traditional methods, a back⁃propagation artifi⁃cial neural network (BP⁃ANN) based method for short⁃term load forecasting is presented in this paper. The forecast points are re⁃lated to prophase adjacent data as well as the periodical long⁃term historical load data. Then the short⁃term load forecasting model of Shanxi Power Grid (China) based on BP⁃ANN method and correlation analysis is established. The simulation model matches well with practical power system load, indicating the BP⁃ANN method is simple and with higher precision and practicality.

La légitimation du rock en URSS dans les années 1970-1980

OpenAIRE

Zaytseva, Anna

2017-01-01

RésuméL'article analyse le chemin parcouru par le rock en URSS puis en Russie, de l'état d'une (sous)culture occidentalisée anglophone, ayant trouvé refuge dans les discothèques des années 1960-1970, jusqu'au canon du russkij rok actuel, devenu presque synonyme de poésie chantée, via sa légitimation progressive dans les années 1980. Celle-ci a été amorcée à la fin des années 1970 avec l’arrivée en force d'une nouvelle génération artistique au sein de l'underground rock (« nouvelle vague » de ...

Vegetarian Eco-feminist Consciousness in Carol Ann Duffy’s Poetry

Directory of Open Access Journals (Sweden)

Jie Zhou

2015-07-01

Full Text Available This paper discusses vegetarian eco-feminist consciousness in Carol Ann Duffy’s poetry by close analysis of two poems, namely “The Dolphins” and “A Healthy Diet” from her poem collection Standing Female Nude. The former is a dramatic monologue of a dolphin, which is exploited by people, and the latter is a dramatic monologue of an omnipotent observer in a restaurant. Both poems criticized the species-ism, and together, they showed the poet’s vegetarian eco-feminist consciousness. A close reading of the two poems from the eco-feminist perspective helps the reader understand why Carol Ann Duffy is honored as the first woman poet laureate in British history, and better understand vegetarian eco-feminism and its influence in British society. Keywords: eco-feminism; consciousness, species-ism, vegetarian, animal, diet

Data-Driven Modeling of Complex Systems by means of a Dynamical ANN

Science.gov (United States)

Seleznev, A.; Mukhin, D.; Gavrilov, A.; Loskutov, E.; Feigin, A.

2017-12-01

The data-driven methods for modeling and prognosis of complex dynamical systems become more and more popular in various fields due to growth of high-resolution data. We distinguish the two basic steps in such an approach: (i) determining the phase subspace of the system, or embedding, from available time series and (ii) constructing an evolution operator acting in this reduced subspace. In this work we suggest a novel approach combining these two steps by means of construction of an artificial neural network (ANN) with special topology. The proposed ANN-based model, on the one hand, projects the data onto a low-dimensional manifold, and, on the other hand, models a dynamical system on this manifold. Actually, this is a recurrent multilayer ANN which has internal dynamics and capable of generating time series. Very important point of the proposed methodology is the optimization of the model allowing us to avoid overfitting: we use Bayesian criterion to optimize the ANN structure and estimate both the degree of evolution operator nonlinearity and the complexity of nonlinear manifold which the data are projected on. The proposed modeling technique will be applied to the analysis of high-dimensional dynamical systems: Lorenz'96 model of atmospheric turbulence, producing high-dimensional space-time chaos, and quasi-geostrophic three-layer model of the Earth's atmosphere with the natural orography, describing the dynamics of synoptical vortexes as well as mesoscale blocking systems. The possibility of application of the proposed methodology to analyze real measured data is also discussed. The study was supported by the Russian Science Foundation (grant #16-12-10198).

2016-2017 Travel Expense Reports for Mary Anne Chambers ...

International Development Research Centre (IDRC) Digital Library (Canada)

Beata Bialic

Date(s):. 2016-07-06. Destination(s):. Ottawa. Airfare: $482.11. Other. Transportation: $64.30. Accommodation: $0.00. Meals and. Incidentals: $25.28. Other: $0.00. Total: $571.69. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the. Human Resources Committee.

Mapping brain circuits of reward and motivation: in the footsteps of Ann Kelley.

Science.gov (United States)

Richard, Jocelyn M; Castro, Daniel C; Difeliceantonio, Alexandra G; Robinson, Mike J F; Berridge, Kent C

2013-11-01

Ann Kelley was a scientific pioneer in reward neuroscience. Her many notable discoveries included demonstrations of accumbens/striatal circuitry roles in eating behavior and in food reward, explorations of limbic interactions with hypothalamic regulatory circuits, and additional interactions of motivation circuits with learning functions. Ann Kelley's accomplishments inspired other researchers to follow in her footsteps, including our own laboratory group. Here we describe results from several lines of our research that sprang in part from earlier findings by Kelley and colleagues. We describe hedonic hotspots for generating intense pleasure 'liking', separate identities of 'wanting' versus 'liking' systems, a novel role for dorsal neostriatum in generating motivation to eat, a limbic keyboard mechanism in nucleus accumbens for generating intense desire versus intense dread, and dynamic limbic transformations of learned memories into motivation. We describe how origins for each of these themes can be traced to fundamental contributions by Ann Kelley. Copyright © 2013 Elsevier Ltd. All rights reserved.

Anne Sütü ve Mikrobiyota Gelişimi

OpenAIRE

GÜNEY, Rabiye; ÇINAR, Nursan

2017-01-01

Sağlıklı mikrobiyotanın etkisine yönelik yapılan çalışmalarda, çocukların gelecekteki sağlığı için mikrobiyota gelişiminin büyük önem taşıdığı vurgulanmaktadır. Astım, şeker hastalığı, obezite gibi birçok hastalığın zarar görmüş ya da gelişmemiş bağırsak mikrobiyotası ile yakın ilişkisi bulunmaktadır. Anne sütü, sağlıklı bir bağırsak mikrobiyotasının gelişmesi için bebeğe aktarılan çok sayıda non-patojen bakteriyi içinde barındırmaktadır. Bununla birlikte, anne sütündeki mikroorganizmaların n...

Prediction of Tourism Demand in Iran by Using Artificial Neural Network (ANN and Supporting Vector Machine (SVR

Directory of Open Access Journals (Sweden)

Seyedehelham Sadatiseyedmahalleh

2016-02-01

Full Text Available This research examines and proves this effectiveness connected with artificial neural networks (ANNs as an alternative approach to the use of Support Vector Machine (SVR in the tourism research. This method can be used for the tourism industry to define the turism’s demands in Iran. The outcome reveals the use of ANNs in tourism research might result in better quotations when it comes to prediction bias and accuracy. Even more applications of ANNs in the context of tourism demand evaluation is needed to establish and validate the effects.

2016-2017 Travel Expense Reports for Margaret Ann Biggs ...

International Development Research Centre (IDRC) Digital Library (Canada)

Beata Bialic

Purpose: Internal IDRC meetings. Date(s):. 2016-07-04 to 2016-07-06. Destination(s):. Ottawa. Airfare: $0.00. Other. Transportation: $39.00. Accommodation: $0.00. Meals and. Incidentals: $25.43. Other: $0.00. Total: $64.43. Comments: 2016-2017 Travel Expense Reports for. Margaret Ann Biggs, Chairperson.

2016-2017 Travel Expense Reports for Mary Anne Chambers ...

International Development Research Centre (IDRC) Digital Library (Canada)

chantal taylor

Purpose: Board meetings. Date(s):. 2017-03-19 to 2017-03-22. Destination(s):. Ottawa. Airfare: $121.05. Other. Transportation: $51.92. Accommodation: $926.48. Meals and. Incidentals: $190.40. Other: $0.00. Total: $1,289.85. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor ...

IntCal04 terrestrial radiocarbon age calibration, 0-26 cal kyr BP

NARCIS (Netherlands)

Reimer, Paula J.; Baillie, Mike G.L.; Bard, Edouard; Bayliss, Alex; Beck, J. Warren; Bertrand, Chanda J.H.; Blackwell, Paul G.; Buck, Caitlin E.; Burr, George S.; Cutler, Kirsten B.; Damon, Paul E.; Edwards, R. Lawrence; Fairbanks, Richard G.; Friedrich, Michael; Guilderson, Thomas P.; Hogg, Alan G.; Hughen, Konrad A.; Kromer, Bernd; McCormac, Gerry; Manning, Sturt; Bronk Ramsey, Christopher; Reimer, Ron W.; Remmele, Sabine; Southon, John R.; Stuiver, Minze; Talamo, Sahra; Taylor, F.W.; Plicht, Johannes van der; Weyhenmeyer, Constanze E.

2004-01-01

A new calibration curve for the conversion of radiocarbon ages to calibrated (cal) ages has been constructed and internationally ratified to replace IntCal98, which extended from 0–24 cal kyr BP (Before Present, 0 cal BP = AD 1950). The new calibration data set for terrestrial samples extends from

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

DEFF Research Database (Denmark)

Aumüller, Martin; Bernhardsson, Erik; Faithfull, Alexander

2017-01-01

This paper describes ANN-Benchmarks, a tool for evaluating the performance of in-memory approximate nearest neighbor algorithms. It provides a standard interface for measuring the performance and quality achieved by nearest neighbor algorithms on different standard data sets. It supports several...... visualise these as images, Open image in new window plots, and websites with interactive plots. ANN-Benchmarks aims to provide a constantly updated overview of the current state of the art of k-NN algorithms. In the short term, this overview allows users to choose the correct k-NN algorithm and parameters...... for their similarity search task; in the longer term, algorithm designers will be able to use this overview to test and refine automatic parameter tuning. The paper gives an overview of the system, evaluates the results of the benchmark, and points out directions for future work. Interestingly, very different...

A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery

Directory of Open Access Journals (Sweden)

Songrong Luo

2016-01-01

Full Text Available The fault diagnosis process is essentially a class discrimination problem. However, traditional class discrimination methods such as SVM and ANN fail to capitalize the interactions among the feature variables. Variable predictive model-based class discrimination (VPMCD can adequately use the interactions. But the feature extraction and selection will greatly affect the accuracy and stability of VPMCD classifier. Aiming at the nonstationary characteristics of vibration signal from rotating machinery with local fault, singular value decomposition (SVD technique based local characteristic-scale decomposition (LCD was developed to extract the feature variables. Subsequently, combining artificial neural net (ANN and mean impact value (MIV, ANN-MIV as a kind of feature selection approach was proposed to select more suitable feature variables as input vector of VPMCD classifier. In the end of this paper, a novel fault diagnosis model based on LCD-SVD-ANN-MIV and VPMCD is proposed and proved by an experimental application for roller bearing fault diagnosis. The results show that the proposed method is effective and noise tolerant. And the comparative results demonstrate that the proposed method is superior to the other methods in diagnosis speed, diagnosis success rate, and diagnosis stability.

Application of ANN and fuzzy logic algorithms for streamflow ...

Indian Academy of Sciences (India)

The present study focusses on development of models using ANN and fuzzy logic (FL) algorithm for predicting the streamflow for catchment of Savitri River Basin. The input vector to these models were daily rainfall, mean daily evaporation, mean daily temperature and lag streamflow used. In the present study, 20 years ...

2016-2017 Travel Expense Reports for Mary Anne Chambers ...

International Development Research Centre (IDRC) Digital Library (Canada)

Beata Bialic

Purpose: Board meetings. Date(s):. 2016-11-20 to 2016-11-23. Destination(s):. Ottawa. Airfare: $445.14. Other. Transportation: $29.05. Accommodation: $786.80. Meals and. Incidentals: $76.79. Other: $0.00. Total: $1,337.78. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson ...

2016-2017 Travel Expense Reports for Mary Anne Chambers ...

International Development Research Centre (IDRC) Digital Library (Canada)

Beata Bialic

Date(s):. 2016-08-14 to 2016-08-23. Destination(s):. Peru/Colombia. Airfare: $3,484.87. Other. Transportation: $0.00. Accommodation: $1,942.21. Meals and. Incidentals: $395.27. Other: $75.50. Total: $5,897.85. Comments: 2016-2017 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the.

Partial enthalpies of Bi and Te in Bi-Te melts and of In and Te in In-Te melts

International Nuclear Information System (INIS)

Yassin, Abeer; Amzil, Abdelhamid; Castanet, Robert

2000-01-01

Full text.Calorimetric measurement are reported which allow the enthalpic behaviour of Bi-Te melts to be established. Further work is required, however, to supplement results obtained for In-Te melts. The partial enthalpies of bismuth and tellurium in the Bi-Te melts at 755K and those of indium and tellurium in the In-Te melts at 1010 and 987K were measured at high dilution by direct reaction calorimetry (drop method) with the help of a Tian-Calvet calorimeter. The limiting partial enthalpies of the components were deduced by extrapolation at infinite dilution: Δh f,∞ B i(755K)/KJ.mol -1 = -34.0 and Δh f,∞ Te(755K) /KJ·mol -1 = -24.1 in the Bi-Te melts Δh f,∞ In(1010K) /KJ·mol -1 = -75.9 and Δh f,∞ Te(1010K) /KJ·mol -1 = -47.8 in the In-Te melts Δh f,∞ In(987K) /KJ·mol -1 = -75.2 and Δh f,∞ Te(987K) /KJ·mol -1 = -48.0 in the In-Te melts

Aspekte van die outeursfunksie in Antjie Krog se Lady Anne (1989)

OpenAIRE

M. Crous

2002-01-01

Aspects of the author function in Antjie Krog’s Lady Anne (1989) The purpose of this essay is to investigate the Foucauldian notion of the so-called “author function” in Antjie Krog’s seventh volume of poetry, viz. Lady Anne (1989). It is an attempt to show how the notion of the death of the author (Barthes) links up with this theorisation of Foucault. Furthermore, it is also an attempt to indicate the characteristic features of the so-called “author function” in the late eighties in Afr...

Campylobacter jejuni induces diverse kinetics and profiles of cytokine genes in INT-407 cells

International Nuclear Information System (INIS)

Al-Amri, Ahlam I.; Bakhiet, Moiz O.; Botta, Giuseppe A.; Tabbara, Khaled S.; Ismaeel, Abdelrahman Y.; Al-Mahmeed, Ali E.; Bin Danya, Khalid M.

2008-01-01

Objective was to examine the kinetic ability of embryonic human epithelial INT-407 cells to express messenger ribonucleic acid (mRNA) for various cytokines and chemokines in response to Campylobacter jejuni (C. jejuni) stimulation. In an experimental single-blind study, cultured embryonic human epithelial INT-407 cells were treated with different concentrations of viable C. jejuni, its sonicated and filtered supernatant. A modified non-radioactive in situ hybridization using probe cocktails was used to measure mRNA levels for the pro-inflammatory cytokines interleukin (IL)-1beta, IL-6, interferon-gamma, tumor necrosis factor (TNF)-alpha, transforming growth factor (TGF)-beta1 and IL-8 and the anti-inflammatory cytokines, IL-4 and IL-10. The study was carried out from September 2005 to March 2007 at the Department of Microbiology, Immunology and Infectious Diseases, College of Medicine and Medical Sciences, Arabian Gulf University, Bahrain. Viable C. jejuni sonicated bacteria and filtered supernatant induced high mRNA expression for the pro-inflammatory cytokines IL-1 beta, IL-6, IFN-gama, TNF-alpha, TGF-beta and IL-8 which peaked at the 12 hours post stimulation. Anti-inflammatory cytokine IL-4 and IL-10 mNRA expression were induced maximally at 3 hours post stimulation mainly by sonicated bacteria and filtrated supernatant, however, not with living bacteria and filtrated supernatant, however, not with living bacteria. Untreated embryonic human epithelial INT-407 cells expressed low amount of mNRA for the various cytokines and chemokines at all time points. For each cytokine, 4 samples were used per time hour. This study demonstrated that embryonic human epithelial INT-407 cells in response to viable C. jejuni or its cytotxins can alter cytokine and chemokine mNRA expression patterns and kinetics suggesting a potential role for these mediators in the immunopathogenesis of the infection caused by this pathogen, which might be relevant for future immunotherapeutic

Mart ja Mari-Ann Susi taotlevad omanikena Concordia pankrotti / Andri Maimets

Index Scriptorium Estoniae

Maimets, Andri, 1979-

2003-01-01

Concordia Ülikooli rektor Mart Susi esitas kohtule avalduse, milles taotleb ülikooli pidanud Concordia Varahalduse OÜ pankroti väljakuulutamist. Vt. samas: Mari-Ann Susi õigustas ülikooli raha kasutamist

Evaluation of Seasonal, ANN, and Hybrid Models in Modeling Urban Water Consumption A Case Study of Rash City

Directory of Open Access Journals (Sweden)

Seyed Nematollah Mousavi

2016-09-01

Full Text Available Forecasting future water consumption in cities to plan for the required capacities in urban water supply systems (including water transmission networks and water treatment facilities depends on the application of behavioral models of uban water consumption. Being located in the North-South corridor, Rasht City is assuming a new role to play in the national economy as a foreign trade center. It will, thus, be necessary to review its present urban infrastructure in order to draft the required infrastructural development plans for meeting the city’s future water demands. The three Seasonal Autoregressive Integrated Moving Average (SARIMA, Artificial Neural Network (ANN, and SARIMABP approaches were employed in present study to model and forecast Rasht urban water consumption using monthly time series for the period 2001‒2008 of urban water consumption in Rasht. The seasonal unit root test was applied to develop the relevant SARIMA model. Results showed that all the seasonal and non-seasonal unit roots are present in all the frequencies in the monthly time series for Rasht urban water consumption. Using a proper filter, the SAIMA patterns were estimated. In a second stage the SARIMA output was used to determine the ANN output and the hybrid SARIMABP structure was accordingly constructed. The values for Rasht urban water consumption predicted by the three models indicated the superiority of the SARIMABP hybrid model as evidenced by the forecast error index of 0.41% obtained for this model. The other two models of SARIMA and ANN were, however, found to yield acceptable results for urban water managers since the forecasting error recorded for them was below 1%.

Benthic Habitat Mapping - Dry Tortugas RoxAnn Acoustic Sensor Data Points

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — During April 2001 RoxAnn single-beam acoustic surveys were conducted at the North Unit of the Tortugas Ecological Reserve, Florida. Thirteen transects associated...

Evaluation of Drug Utilization Pattern for Patients of Bronchial ...

African Journals Online (AJOL)

2017-10-26

Oct 26, 2017 ... Department of Pharmacology, Faculty of Medicine,. Rabigh Campus .... number of adult and geriatric patients may be attributed to underreporting ..... Ann Thorac Med 2016;11:3-42. 27. Thamby SA ... Int Res J Pharm. 2012 ...

Development and Application of ANN Model for Worker Assignment into Virtual Cells of Large Sized Configurations

International Nuclear Information System (INIS)

Murali, R. V.; Fathi, Khalid; Puri, A. B.

2010-01-01

This paper presents an extended version of study already undertaken on development of an artificial neural networks (ANNs) model for assigning workforce into virtual cells under virtual cellular manufacturing systems (VCMS) environments. Previously, the same authors have introduced this concept and applied it to virtual cells of two-cell configuration and the results demonstrated that ANNs could be a worth applying tool for carrying out workforce assignments. In this attempt, three-cell configurations problems are considered for worker assignment task. Virtual cells are formed under dual resource constraint (DRC) context in which the number of available workers is less than the total number of machines available. Since worker assignment tasks are quite non-linear and highly dynamic in nature under varying inputs and conditions and, in parallel, ANNs have the ability to model complex relationships between inputs and outputs and find similar patterns effectively, an attempt was earlier made to employ ANNs into the above task. In this paper, the multilayered perceptron with feed forward (MLP-FF) neural network model has been reused for worker assignment tasks of three-cell configurations under DRC context and its performance at different time periods has been analyzed. The previously proposed worker assignment model has been reconfigured and cell formation solutions available for three-cell configuration in the literature are used in combination to generate datasets for training ANNs framework. Finally, results of the study have been presented and discussed.

ANNE TONER. Ellipsis in English Literature: Signs of Omission

DEFF Research Database (Denmark)

Lupton, Tina Jane

2016-01-01

As a freshman, I once met a PhD Student writing about the use of the comma in Jane Austen. For years the thesis topic kept me entertained as an example of how narrowly focused literary study could become. Reading Anne Toner's Ellipsis in English Literature commits me to a recantation of that joke...

Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM

Directory of Open Access Journals (Sweden)

Igor Peško

2017-01-01

Full Text Available Offer preparation has always been a specific part of a building process which has significant impact on company business. Due to the fact that income greatly depends on offer’s precision and the balance between planned costs, both direct and overheads, and wished profit, it is necessary to prepare a precise offer within required time and available resources which are always insufficient. The paper presents a research of precision that can be achieved while using artificial intelligence for estimation of cost and duration in construction projects. Both artificial neural networks (ANNs and support vector machines (SVM are analysed and compared. The best SVM has shown higher precision, when estimating costs, with mean absolute percentage error (MAPE of 7.06% compared to the most precise ANNs which has achieved precision of 25.38%. Estimation of works duration has proved to be more difficult. The best MAPEs were 22.77% and 26.26% for SVM and ANN, respectively.

Why philosophy and history matter : A conversation with Ann Taves

NARCIS (Netherlands)

von Stuckrad, C.K.M.

2010-01-01

The article picks up some ideas that Ann Taves presents in her book Religious Experience Reconsidered, and looks at possible conversations that are not fleshed out in detail in Taves' book. In particular, it is argued that the disciplinary confrontation with philosophy and with historiography is of

76 FR 67402 - Performance Review Board Appointments

Science.gov (United States)

2011-11-01

... Executive Service (SES), Senior Level (SL), and Scientific or Professional (ST) Performance Review Boards...; White, Dave. Research, Education and Economics (REE) Bartuska, Ann; Jacobs-Young, Chavonda; Woteki...

Intégration d'un bouchon du trajectographe au silicium de l'expérience CMS au LHC et étude du potentiel de découverte de résonances se désintégrant en paires de quarks top

CERN Document Server

Chabert, Eric

2008-01-01

La première partie de cette thèse porte sur l'intégration d'un bouchon du trajectographe au silicium de l'expérience CMS. Les procédures mises en œuvre et les tests qui ont permis d'aboutir à la qualification du système de détection sont présentés dans ce document. La deuxième partie est dédiée à la recherche de nouvelle physique dans le secteur du quark top. Une des voies les plus prometteuses consiste à rechercher une résonance dans la distribution en masse invariante des paires de quarks top. Une analyse réalisée en simulation complète dans le canal lepton+jets montre qu'à l'échelle du TeV, des processus de quelques centaines de fb à 1 pb pourraient être observés lors des premières années de prises de données.

Artificial neural network (ANN)-based prediction of depth filter loading capacity for filter sizing.

Science.gov (United States)

Agarwal, Harshit; Rathore, Anurag S; Hadpe, Sandeep Ramesh; Alva, Solomon J

2016-11-01

This article presents an application of artificial neural network (ANN) modelling towards prediction of depth filter loading capacity for clarification of a monoclonal antibody (mAb) product during commercial manufacturing. The effect of operating parameters on filter loading capacity was evaluated based on the analysis of change in the differential pressure (DP) as a function of time. The proposed ANN model uses inlet stream properties (feed turbidity, feed cell count, feed cell viability), flux, and time to predict the corresponding DP. The ANN contained a single output layer with ten neurons in hidden layer and employed a sigmoidal activation function. This network was trained with 174 training points, 37 validation points, and 37 test points. Further, a pressure cut-off of 1.1 bar was used for sizing the filter area required under each operating condition. The modelling results showed that there was excellent agreement between the predicted and experimental data with a regression coefficient (R 2 ) of 0.98. The developed ANN model was used for performing variable depth filter sizing for different clarification lots. Monte-Carlo simulation was performed to estimate the cost savings by using different filter areas for different clarification lots rather than using the same filter area. A 10% saving in cost of goods was obtained for this operation. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1436-1443, 2016. © 2016 American Institute of Chemical Engineers.

Exon sequence requirements for excision in vivo of the bacterial group II intron RmInt1

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Toro Nicolás

2011-05-01

Full Text Available Abstract Background Group II intron splicing proceeds through two sequential transesterification reactions in which the 5' and 3'-exons are joined together and the lariat intron is released. The intron-encoded protein (IEP assists the splicing of the intron in vivo and remains bound to the excised intron lariat RNA in a ribonucleoprotein particle (RNP that promotes intron mobility. Exon recognition occurs through base-pairing interactions between two guide sequences on the ribozyme domain dI known as EBS1 and EBS2 and two stretches of sequence known as IBS1 and IBS2 on the 5' exon, whereas the 3' exon is recognized through interaction with the sequence immediately upstream from EBS1 [(δ-δ' interaction (subgroup IIA] or with a nucleotide [(EBS3-IBS3 interaction (subgroup IIB and IIC] located in the coordination-loop of dI. The δ nucleotide is involved in base pairing with another intron residue (δ' in subgroup IIB introns and this interaction facilitates base pairing between the 5' exon and the intron. Results In this study, we investigated nucleotide requirements in the distal 5'- and 3' exon regions, EBS-IBS interactions and δ-δ' pairing for excision of the group IIB intron RmInt1 in vivo. We found that the EBS1-IBS1 interaction was required and sufficient for RmInt1 excision. In addition, we provide evidence for the occurrence of canonical δ-δ' pairing and its importance for the intron excision in vivo. Conclusions The excision in vivo of the RmInt1 intron is a favored process, with very few constraints for sequence recognition in both the 5' and 3'-exons. Our results contribute to understand how group II introns spread in nature, and might facilitate the use of RmInt1 in gene targeting.

A computation ANN model for quantifying the global solar radiation: A case study of Al-Aqabah-Jordan

International Nuclear Information System (INIS)

Abolgasem, I M; Alghoul, M A; Ruslan, M H; Chan, H Y; Khrit, N G; Sopian, K

2015-01-01

In this paper, a computation model is developed to predict the global solar radiation (GSR) in Aqaba city based on the data recorded with association of Artificial Neural Networks (ANN). The data used in this work are global solar radiation (GSR), sunshine duration, maximum and minimum air temperature and relative humidity. These data are available from Jordanian meteorological station over a period of two years. The quality of GSR forecasting is compared by using different Learning Algorithms. The decision of changing the ANN architecture is essentially based on the predicted results to obtain the best ANN model for monthly and seasonal GSR. Different configurations patterns were tested using available observed data. It was found that the model using mainly sunshine duration and air temperature as inputs gives accurate results. The ANN model efficiency and the mean square error values show that the prediction model is accurate. It is found that the effect of the three learning algorithms on the accuracy of the prediction model at the training and testing stages for each time scale is mostly within the same accuracy range. (paper)

Measurement and ANN prediction of pH-dependent solubility of nitrogen-heterocyclic compounds.

Science.gov (United States)

Sun, Feifei; Yu, Qingni; Zhu, Jingke; Lei, Lecheng; Li, Zhongjian; Zhang, Xingwang

2015-09-01

Based on the solubility of 25 nitrogen-heterocyclic compounds (NHCs) measured by saturation shake-flask method, artificial neural network (ANN) was employed to the study of the quantitative relationship between the structure and pH-dependent solubility of NHCs. With genetic algorithm-multivariate linear regression (GA-MLR) approach, five out of the 1497 molecular descriptors computed by Dragon software were selected to describe the molecular structures of NHCs. Using the five selected molecular descriptors as well as pH and the partial charge on the nitrogen atom of NHCs (QN) as inputs of ANN, a quantitative structure-property relationship (QSPR) model without using Henderson-Hasselbalch (HH) equation was successfully developed to predict the aqueous solubility of NHCs in different pH water solutions. The prediction model performed well on the 25 model NHCs with an absolute average relative deviation (AARD) of 5.9%, while HH approach gave an AARD of 36.9% for the same model NHCs. It was found that QN played a very important role in the description of NHCs and, with QN, ANN became a potential tool for the prediction of pH-dependent solubility of NHCs. Copyright © 2015 Elsevier Ltd. All rights reserved.

Estimating SPT-N Value Based on Soil Resistivity using Hybrid ANN-PSO Algorithm

Science.gov (United States)

Nur Asmawisham Alel, Mohd; Ruben Anak Upom, Mark; Asnida Abdullah, Rini; Hazreek Zainal Abidin, Mohd

2018-04-01

Standard Penetration Resistance (N value) is used in many empirical geotechnical engineering formulas. Meanwhile, soil resistivity is a measure of soil’s resistance to electrical flow. For a particular site, usually, only a limited N value data are available. In contrast, resistivity data can be obtained extensively. Moreover, previous studies showed evidence of a correlation between N value and resistivity value. Yet, no existing method is able to interpret resistivity data for estimation of N value. Thus, the aim is to develop a method for estimating N-value using resistivity data. This study proposes a hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) method to estimate N value using resistivity data. Five different ANN-PSO models based on five boreholes were developed and analyzed. The performance metrics used were the coefficient of determination, R2 and mean absolute error, MAE. Analysis of result found that this method can estimate N value (R2 best=0.85 and MAEbest=0.54) given that the constraint, Δ {\\bar{l}}ref, is satisfied. The results suggest that ANN-PSO method can be used to estimate N value with good accuracy.

Applications of artificial neural networks for thermal analysis of heat exchangers - A review

International Nuclear Information System (INIS)

Mohanraj, M.; Jayaraj, S.; Muraleedharan, C.

2015-01-01

Artificial neural networks (ANN) have been widely used for thermal analysis of heat exchangers during the last two decades. In this paper, the applications of ANN for thermal analysis of heat exchangers are reviewed. The reported investigations on thermal analysis of heat exchangers are categorized into four major groups, namely (i) modeling of heat exchangers, (ii) estimation of heat exchanger parameters, (iii) estimation of phase change characteristics in heat exchangers and (iv) control of heat exchangers. Most of the papers related to the applications of ANN for thermal analysis of heat exchangers are discussed. The limitations of ANN for thermal analysis of heat exchangers and its further research needs in this field are highlighted. ANN is gaining popularity as a tool, which can be successfully used for the thermal analysis of heat exchangers with acceptable accuracy. (authors)

SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

Energy Technology Data Exchange (ETDEWEB)

Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa [Weill Cornell Medical College, NY, NY (United States)

2014-06-01

Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation.

SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

International Nuclear Information System (INIS)

Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa

2014-01-01

Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation

La ansiedad escénica en intérpretes musicales chilenos

Directory of Open Access Journals (Sweden)

Mimí Marinovic

2006-06-01

Full Text Available La ansiedad escénica (AE es uno de los mayores problemas del ejercicio profesional de los intérpretes musicales. Encuestas realizadas en países desarrollados revelan cifras de prevalencia entre 24% -70% y citan casos severos, causantes del abandono de la carrera. Objetivos: detectar la prevalencia de la AE en músicos chilenos que desempeñan su profesión en los principales conjuntos de música de concierto y determinar algunos de los factores que, a su juicio, influyen en su aparición. Método: 249 intérpretes (122 instrumentistas, 26 directores y 101 cantantes respondieron un cuestionario autoaplicado, incluido en una investigación más amplia sobre los intérpretes de arte. Este instrumento fue complementado con 36 entrevistas abiertas (13 instrumentistas, 6 directores y 11 cantantes. Resultados: el 78% de los músicos estudiados admitió haber sufrido AE, más mujeres que varones. El 64% consideró que ella se relaciona principalmente con la tarea a ejecutar (preparación insuficiente, dificultad de la obra, mientras que el 32% lo atribuyó a factores personales (ser nervioso, temor al fracaso y sólo el 4% a factores situacionales. Hubo diferencias significativas por género, especialidad y edad. Las entrevistas permitieron profundizar acerca del alcance de estos resultados. Conclusiones: se constató una alta prevalencia de AE, la cual debiera ser abordada interdisciplinariamente por especialistas de la salud mental y la música en beneficio de la educación general, la formación especializada y el desarrollo profesional de los intérpretes musicalesPerformance anxiety (PA is one of the major problems that musicians face in their careers. Surveys carried out in developed countries show prevalence figures ranging 24% -70% and quote severe cases leading to abandonment of the profession. Objectives: detect the prevalence of PA in Chilean musicians working in the main groups of concert music and determine some of the factors that

Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery.

Science.gov (United States)

Naderi, Arman; Delavar, Mohammad Amir; Kaboudin, Babak; Askari, Mohammad Sadegh

2017-05-01

This study aims to assess and compare heavy metal distribution models developed using stepwise multiple linear regression (MSLR) and neural network-genetic algorithm model (ANN-GA) based on satellite imagery. The source identification of heavy metals was also explored using local Moran index. Soil samples (n = 300) were collected based on a grid and pH, organic matter, clay, iron oxide contents cadmium (Cd), lead (Pb) and zinc (Zn) concentrations were determined for each sample. Visible/near-infrared reflectance (VNIR) within the electromagnetic ranges of satellite imagery was applied to estimate heavy metal concentrations in the soil using MSLR and ANN-GA models. The models were evaluated and ANN-GA model demonstrated higher accuracy, and the autocorrelation results showed higher significant clusters of heavy metals around the industrial zone. The higher concentration of Cd, Pb and Zn was noted under industrial lands and irrigation farming in comparison to barren and dryland farming. Accumulation of industrial wastes in roads and streams was identified as main sources of pollution, and the concentration of soil heavy metals was reduced by increasing the distance from these sources. In comparison to MLSR, ANN-GA provided a more accurate indirect assessment of heavy metal concentrations in highly polluted soils. The clustering analysis provided reliable information about the spatial distribution of soil heavy metals and their sources.

Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA-ANN model

Energy Technology Data Exchange (ETDEWEB)

Cadenas, Erasmo [Facultad de Ingenieria Mecanica, Universidad Michoacana de San Nicolas de Hidalgo, Santiago Tapia No. 403, Centro (Mexico); Rivera, Wilfrido [Centro de Ivestigacion en Energia, Universidad Nacional Autonoma de Mexico, Apartado Postal 34, Temixco 62580, Morelos (Mexico)

2010-12-15

In this paper the wind speed forecasting in the Isla de Cedros in Baja California, in the Cerro de la Virgen in Zacatecas and in Holbox in Quintana Roo is presented. The time series utilized are average hourly wind speed data obtained directly from the measurements realized in the different sites during about one month. In order to do wind speed forecasting Hybrid models consisting of Autoregressive Integrated Moving Average (ARIMA) models and Artificial Neural Network (ANN) models were developed. The ARIMA models were first used to do the wind speed forecasting of the time series and then with the obtained errors ANN were built taking into account the nonlinear tendencies that the ARIMA technique could not identify, reducing with this the final errors. Once the Hybrid models were developed 48 data out of sample for each one of the sites were used to do the wind speed forecasting and the results were compared with the ARIMA and the ANN models working separately. Statistical error measures such as the mean error (ME), the mean square error (MSE) and the mean absolute error (MAE) were calculated to compare the three methods. The results showed that the Hybrid models predict the wind velocities with a higher accuracy than the ARIMA and ANN models in the three examined sites. (author)

Enamik Mõtteloo Sihtkapitali rahast kasvab USA aktsiates / Mart Trummal ; interv. Anne Oja

Index Scriptorium Estoniae

Trummal, Mart

2006-01-01

Intervjuu Eesti Mõtteloo Sihtkapitali juhi Mart Trummaliga. Tabel: Mõtteloo Sihtkapitali vara on USA-s noteeritud indeksifondides; Investeeringud Eesti aktsiatesse. Diagramm: Finantsinvesteeringute maht. Vt. samas: Anne Oja. Dividendisaajate esirinnas. Kommenteerib Annika Matson

Artificial Neural Network (ANN) Model to Predict Depression among Geriatric Population at a Slum in Kolkata, India.

Science.gov (United States)

Sau, Arkaprabha; Bhakta, Ishita

2017-05-01

Depression is one of the most important causes of mortality and morbidity among the geriatric population. Although, the aging brain is more vulnerable to depression, it cannot be considered as physiological and an inevitable part of ageing. Various sociodemographic and morbidity factors are responsible for the depression among them. Using Artificial Neural Network (ANN) model depression can be predicted from various sociodemographic variables and co morbid conditions even at community level by the grass root level health care workers. To predict depression among geriatric population from sociodemographic and morbidity attributes using ANN. An observational descriptive study with cross-sectional design was carried out at a slum under the service area of Bagbazar Urban Health and Training Centre (UHTC) in Kolkata. Among 126 elderlies under Bagbazar UHTC, 105 were interviewed using predesigned and pretested schedule. Depression status was assessed using 30 item Geriatric Depression Scale. WEKA 3.8.0 was used to develop the ANN model and test its performance. Prevalence of depression among the study population was 45.7%. Various sociodemographic variables like age, gender, literacy, living spouse, working status, personal income, family type, substance abuse and co morbid conditions like visual problem, mobility problem, hearing problem and sleeping problem were taken into consideration to develop the model. Prediction accuracy of this ANN model was 97.2%. Depression among geriatric population can be predicted accurately using ANN model from sociodemographic and morbidity attributes.

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Indian Academy of Sciences (India)

2012-01-08

Jan 8, 2012 ... College of Medicine, Taipei 100, Taiwan. *Corresponding author ..... Drugs Exp. Clin. Res. 30 27–33. Dolan PJ and Johnson GV 2010 A caspase cleaved form of tau is .... Int. J. Geriatr. Psychiatry. ... Ann. Neurol. 61 476–483.

Programme intégré de lutte contre le paludisme en Afrique ...

International Development Research Centre (IDRC) Digital Library (Canada)

Le paludisme demeure le plus grand facteur de morbidité et de mortalité dans ... sur le système de santé (diagnostic, gestion et prévention des cas), de mesures ... la recherche visant à comprendre la dynamique sociétale et environnementale ... Rapport technique final Écosanté / le contrôle intégré du paludisme basé sur ...

Modelling and automatic reactive power control of isolated wind-diesel hybrid power systems using ANN

International Nuclear Information System (INIS)

Bansal, R.C.

2008-01-01

This paper presents an artificial neural network (ANN) based approach to tune the parameters of the static var compensator (SVC) reactive power controller over a wide range of typical load model parameters. The gains of PI (proportional integral) based SVC are optimised for typical values of the load voltage characteristics (n q ) by conventional techniques. Using the generated data, the method of multi-layer feed forward ANN with error back propagation training is employed to tune the parameters of the SVC. An ANN tuned SVC controller has been applied to control the reactive power of a variable slip/speed isolated wind-diesel hybrid power system. It is observed that the maximum deviations of all parameters are more for larger values of n q . It has been shown that initially synchronous generator supplies the reactive power required by the induction generator and/or load, and the latter reactive power is purely supplied by the SVC

Modelling and automatic reactive power control of isolated wind-diesel hybrid power systems using ANN

Energy Technology Data Exchange (ETDEWEB)

Bansal, R.C. [Electrical and Electronics Engineering Division, School of Engineering and Physics, The University of the South Pacific, Suva (Fiji)

2008-02-15

This paper presents an artificial neural network (ANN) based approach to tune the parameters of the static var compensator (SVC) reactive power controller over a wide range of typical load model parameters. The gains of PI (proportional integral) based SVC are optimised for typical values of the load voltage characteristics (n{sub q}) by conventional techniques. Using the generated data, the method of multi-layer feed forward ANN with error back propagation training is employed to tune the parameters of the SVC. An ANN tuned SVC controller has been applied to control the reactive power of a variable slip/speed isolated wind-diesel hybrid power system. It is observed that the maximum deviations of all parameters are more for larger values of n{sub q}. It has been shown that initially synchronous generator supplies the reactive power required by the induction generator and/or load, and the latter reactive power is purely supplied by the SVC. (author)

Architecture, cinéma et utopie. Pierre Kast sur Claude-Nicolas Ledoux et Le Corbusier

OpenAIRE

Denis, Sébastien

2013-01-01

La fin des années 40 et les années 50 sont celles de l’émergence du film d’art, et les courts métrages de Pierre Kast (1920-1984) qu’on analysera ici, produits au milieu des années 50, s’intègrent dans ce mouvement plus large dont Claude-Jean Philippe, dans son Encyclopédie filmée, a pu dire que, loin d’être des « films au passé », ils montrent un « présent à vif, dont le cinéma capte et condense l’intensité ». Ces années sont justement celles de la montée vers la « libération » du cinéma lui...

Intérêt nutritionnel des huiles de tournesols : tournesol linoléique et tournesol à haute teneur en oléique

Directory of Open Access Journals (Sweden)

Delplanque Bernadette

2000-11-01

Full Text Available Depuis les années 60 le tournesol traditionnel représentait le chef de file des « huiles poly-insaturées ». Depuis l’apparition des premières variétés riches en acide oléique (18:1, les sélections naturelles ou traditionnelles de variétés nouvelles de tournesol oléique ont trouvé leur place et leur justification sur le plan nutritionnel, par la qualité diversifiée de leurs acides gras, mais aussi par la préservation des qualités de l’insaponifiable (riche en vitamine E et en phytostérols. Une complémentarité entre les tournesols linoléique et oléique pourrait être tout à fait intéressante par l’utilisation d’huiles combinées, en vue d’un équilibre diététique mono/poly-insaturé dont l’effet serait d’assurer l’expression optimale des paramètres de protection vis-à-vis de l’athérothrombose à l’origine des maladies cardiovasculaires. Le développement du « tournesol-mid-oléique » (mid-range-oleic pourrait également apporter une source d’oléique et de linoléique naturellement plus équilibrée. Cependant, il restera à satisfaire les besoins en alpha-linolénique (importance de la balance n-6/n-3 qui pourraient être apportés par le colza.

Application of ann-based decision making pattern recognition to fishing operations

Energy Technology Data Exchange (ETDEWEB)

Akhlaghinia, M.; Torabi, F.; Wilton, R.R. [University of Regina, Saskatchewan (Canada). Faculty of Engineering. Dept. of Petroleum Engineering], e-mail: Farshid.Torabi@uregina.ca

2010-10-15

Decision making is a crucial part of fishing operations. Proper decisions should be made to prevent wasted time and associated costs on unsuccessful operations. This paper presents a novel model to help drilling managers decide when to commence and when to quit a fishing operation. A decision making model based on Artificial Neural Network (ANN) has been developed that utilizes Pattern Recognition based on 181 fishing incidents from one of the most fish-prone fields of the southwest of Iran. All parameters chosen to train the ANN-Based Pattern Recognition Tool are assumed to play a role in the success of the fishing operation and are therefore used to decide whether a fishing operation should be performed or not. If the tool deems the operation suitable for consideration, a cost analysis of the fishing operation can then be performed to justify its overall cost. (author)

Artificial neural networks: an efficient tool for modelling and optimization of biofuel production (a mini review)

International Nuclear Information System (INIS)

Sewsynker-Sukai, Yeshona; Faloye, Funmilayo; Kana, Evariste Bosco Gueguim

2016-01-01

In view of the looming energy crisis as a result of depleting fossil fuel resources and environmental concerns from greenhouse gas emissions, the need for sustainable energy sources has secured global attention. Research is currently focused towards renewable sources of energy due to their availability and environmental friendliness. Biofuel production like other bioprocesses is controlled by several process parameters including pH, temperature and substrate concentration; however, the improvement of biofuel production requires a robust process model that accurately relates the effect of input variables to the process output. Artificial neural networks (ANNs) have emerged as a tool for modelling complex, non-linear processes. ANNs are applied in the prediction of various processes; they are useful for virtual experimentations and can potentially enhance bioprocess research and development. In this study, recent findings on the application of ANN for the modelling and optimization of biohydrogen, biogas, biodiesel, microbial fuel cell technology and bioethanol are reviewed. In addition, comparative studies on the modelling efficiency of ANN and other techniques such as the response surface methodology are briefly discussed. The review highlights the efficiency of ANNs as a modelling and optimization tool in biofuel process development

Sexuality and gender in contemporary women's Gothic fiction - Angela Carter's and Anne Rice's Vampires: Angela Carter's and Anne Rice's Vampires

OpenAIRE

Fernanda Sousa Carvalho

2009-01-01

xxx In this thesis, I provide an analysis of Angela Carter's and Anne Rice's works based on their depiction of vampires. My corpus is composed by Carter's short stories 'The Loves of Lady Purple' and 'The Lady of the House of Love' and by Rice's novels The Vampire Lestat and The Queen of the Damned. My analysis of this corpus is based on four approaches: a comparison between Carter's and Rice's works, supported by their common use of vampire characters; an investigation of how this use con...

Application of neural network in market segmentation: A review on recent trends

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Manojit Chattopadhyay

2012-04-01

Full Text Available Despite the significance of Artificial Neural Network (ANN algorithm to market segmentation, there is a need of a comprehensive literature review and a classification system for it towards identification of future trend of market segmentation research. The present work is the first identifiable academic literature review of the application of neural network based techniques to segmentation. Our study has provided an academic database of literature between the periods of 2000–2010 and proposed a classification scheme for the articles. One thousands (1000 articles have been identified, and around 100 relevant selected articles have been subsequently reviewed and classified based on the major focus of each paper. Findings of this study indicated that the research area of ANN based applications are receiving most research attention and self organizing map based applications are second in position to be used in segmentation. The commonly used models for market segmentation are data mining, intelligent system etc. Our analysis furnishes a roadmap to guide future research and aid knowledge accretion and establishment pertaining to the application of ANN based techniques in market segmentation. Thus the present work will significantly contribute to both the industry and academic research in business and marketing as a sustainable valuable knowledge source of market segmentation with the future trend of ANN application in segmentation.

Thesis defence: Anneli Baran Possibilities for studying semantics in phraseology / Outi Lauhakangas

Index Scriptorium Estoniae

Lauhakangas, Outi

2011-01-01

15. märtsil 2011 kaitses Anneli Baran Tartu Ülikooli kultuuriteaduste ja kunstide instituudis doktoriväitekirja Fraseologismide semantika uurimisvõimalused, juhendaja Arvo Krikmann (Eesti Kirjandusmuuseum), oponent dr Outi Lauhakangas (Soome Kirjanduse Selts)

Prediction of Ryznar Stability Index for Treated Water of WTPs Located on Al-Karakh Side of Baghdad City using Artificial Neural Network (ANN Technique

Directory of Open Access Journals (Sweden)

Awatif Soaded Alsaqqar

2016-06-01

Full Text Available In this research an Artificial Neural Network (ANN technique was applied for the prediction of Ryznar Index (RI of the flowing water from WTPs in Al-Karakh side (left side in Baghdad city for year 2013. Three models (ANN1, ANN2 and ANN3 have been developed and tested using data from Baghdad Mayoralty (Amanat Baghdad including drinking water quality for the period 2004 to 2013. The results indicate that it is quite possible to use an artificial neural networks in predicting the stability index (RI with a good degree of accuracy. Where ANN 2 model could be used to predict RI for the effluents from Al-Karakh, Al-Qadisiya and Al-Karama WTPs as the highest correlation coefficient were obtained 92.4, 82.9 and 79.1% respectively. For Al-Dora WTP, ANN 3 model could be used as R was 92.8%.

L'intégration des plantes médicinales en Inde | IDRC - International ...

International Development Research Centre (IDRC) Digital Library (Canada)

3 févr. 2011 ... Un nouveau programme lancé par le gouvernement de l'Inde pour intégrer les plantes médicinales aux pratiques médicales traditionnelles et aux moyens de subsistance habituels pourrait être une source de revenus pour les villageois qui en font la cueillette et rendre leur utilisation plus sécuritaire.

Identification of Constitutive Parameters Using Inverse Strategy Coupled to an ANN Model

International Nuclear Information System (INIS)

Aguir, H.; Chamekh, A.; BelHadjSalah, H.; Hambli, R.

2007-01-01

This paper deals with the identification of material parameters using an inverse strategy. In the classical methods, the inverse technique is generally coupled with a finite element code which leads to a long computing time. In this work an inverse strategy coupled with an ANN procedure is proposed. This method has the advantage of being faster than the classical one. To validate this approach an experimental plane tensile and bulge tests are used in order to identify material behavior. The ANN model is trained from finite element simulations of the two tests. In order to reduce the gap between the experimental responses and the numerical ones, the proposed method is coupled with an optimization procedure to identify material parameters for the AISI304. The identified material parameters are the hardening curve and the anisotropic coefficients

MetrIntSimil—An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems

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Laszlo Barna Iantovics

2018-02-01

Full Text Available Intelligent cooperative multiagent systems are applied for solving a large range of real-life problems, including in domains like biology and healthcare. There are very few metrics able to make an effective measure of the machine intelligence quotient. The most important drawbacks of the designed metrics presented in the scientific literature consist in the limitation in universality, accuracy, and robustness. In this paper, we propose a novel universal metric called MetrIntSimil capable of making an accurate and robust symmetric comparison of the similarity in intelligence of any number of cooperative multiagent systems specialized in difficult problem solving. The universality is an important necessary property based on the large variety of designed intelligent systems. MetrIntSimil makes a comparison by taking into consideration the variability in intelligence in the problem solving of the compared cooperative multiagent systems. It allows a classification of the cooperative multiagent systems based on their similarity in intelligence. A cooperative multiagent system has variability in the problem solving intelligence, and it can manifest lower or higher intelligence in different problem solving tasks. More cooperative multiagent systems with similar intelligence can be included in the same class. For the evaluation of the proposed metric, we conducted a case study for more intelligent cooperative multiagent systems composed of simple computing agents applied for solving the Symmetric Travelling Salesman Problem (STSP that is a class of NP-hard problems. STSP is the problem of finding the shortest Hamiltonian cycle/tour in a weighted undirected graph that does not have loops or multiple edges. The distance between two cities is the same in each opposite direction. Two classes of similar intelligence denoted IntClassA and IntClassB were identified. The experimental results show that the agent belonging to IntClassA intelligence class is less

Practitioner Profile: An Interview with Anne Brennan Malec, Ph.D.

Directory of Open Access Journals (Sweden)

Anne Brennan Malec

2015-12-01

Full Text Available Dr. Anne Brennan Malec is the founder and managing partner of Symmetry Counseling, a counseling, coaching, and psychotherapy group practice located in downtown Chicago. She has been the driving force behind Symmetry Counseling’s success – what started in 2011 with six offices and five counselors now houses over 25 clinicians.

Adjuvant therapy for gastric cancer: what have we learned since INT0116?

Science.gov (United States)

Jácome, Alexandre A; Sankarankutty, Ajith K; dos Santos, José Sebastião

2015-04-07

Gastric cancer is one of the main cancer-related causes of death worldwide. The curative treatment of gastric cancer consists of tumor resection and lymphadenectomy. However, surgical treatment alone is associated with high recurrence rates. Adjuvant treatment strategies have been studied over the last decades, but there have been controversial results from the initial studies. The pivotal INT0116 study demonstrated that the use of adjuvant chemoradiotherapy with 5-fluorouracil increases relapse-free and overall survival, and it has been adopted across the Western world. The high toxicity of radiochemotherapy and suboptimal surgical treatment employed, with fewer than 10% of the patients submitted to D2 lymphadenectomy, were the main study limitations. Since its publication, other adjuvant treatment modalities have been studied, and radiochemotherapy is being refined to improve its efficacy and safety. A multimodal approach has been demonstrated to significantly increase relapse-free and overall survival, and it can be offered in the form of perioperative chemotherapy, adjuvant chemoradiotherapy or adjuvant chemotherapy, regardless of the extent of lymphadenectomy. The objective of the present review is to report the major advances obtained in the last decades in the adjuvant treatment of gastric cancer as well as the perspectives of treatment based on recent knowledge of the molecular biology of the disease.

Doktoritööd : [2007, Anne Lange jt.

Index Scriptorium Estoniae

2007-01-01

20. veebr. kaitseb Anne Lange doktoritööd "The poetics of translation of Ants Oras". 19. jaan. kaitses Tuuli Oder doktoritööd "The model of contemporary professional foreign language teacher". 16. jaan. kaitses Tiit Maran doktoritööd "Conservation biology of the European mink, Mustela lutreola (Linnaeus 1761): decline and causes of extinction". 12. jaan. kaitses Maris Saagpakk doktoritööd "Deutschbaltische Autobiographien als Dokumente des Zeit- und Selbstempfindens: vom Ende des 19. Jh. bis zur Umsiedlung 1939"

ANN based Performance Evaluation of BDI for Condition Monitoring of Induction Motor Bearings

Science.gov (United States)

Patel, Raj Kumar; Giri, V. K.

2017-06-01

One of the critical parts in rotating machines is bearings and most of the failure arises from the defective bearings. Bearing failure leads to failure of a machine and the unpredicted productivity loss in the performance. Therefore, bearing fault detection and prognosis is an integral part of the preventive maintenance procedures. In this paper vibration signal for four conditions of a deep groove ball bearing; normal (N), inner race defect (IRD), ball defect (BD) and outer race defect (ORD) were acquired from a customized bearing test rig, under four different conditions and three different fault sizes. Two approaches have been opted for statistical feature extraction from the vibration signal. In the first approach, raw signal is used for statistical feature extraction and in the second approach statistical features extracted are based on bearing damage index (BDI). The proposed BDI technique uses wavelet packet node energy coefficients analysis method. Both the features are used as inputs to an ANN classifier to evaluate its performance. A comparison of ANN performance is made based on raw vibration data and data chosen by using BDI. The ANN performance has been found to be fairly higher when BDI based signals were used as inputs to the classifier.

Intéresser les jeunes à la chose publique | CRDI - Centre de ...

International Development Research Centre (IDRC) Digital Library (Canada)

22 oct. 2010 ... Les gouvernements ont tout intérêt à faire appel à la solidarité naturelle des jeunes en les consultant et en les amenant à participer aux processus de prise ... Dans un pays comme dans l'autre, cependant, les jeunes votent peu, et ce, en dépit du vote obligatoire au Brésil (au risque d'être mis à l'amende) et ...

Application de la gestion intégrale de l'innovation dans les petites et ...

International Development Research Centre (IDRC) Digital Library (Canada)

'application d'un cadre de gestion intégrale de l'innovation destiné exclusivement aux PME. Les capacités de recherche et de mise en oeuvre seront améliorées au moyen d'une formation aux cycles supérieurs ou d'une autre nature.

Anne-Hélène Pitel, Le prosimètre dans l’oeuvre de fiction de Lope de Vega, de «La Arcadia» (1598 à «La Dorotea» (1632

Directory of Open Access Journals (Sweden)

Javier Rubiera

2013-05-01

Full Text Available Review of Anne-Hélène Pitel, Le prosimètre dans l’oeuvre de fiction de Lope de Vega, de «La Arcadia» (1598 à «La Dorotea» (1632, Editorial Academia del Hispanismo, Vigo, 2011, 400 pp. ISBN: 978-84-96915-98-5.

Effectiveness of ANN for seismic behaviour prediction considering geometric configuration effect in concrete gravity dams

Directory of Open Access Journals (Sweden)

Mohd. Saqib

2016-09-01

Full Text Available In this study, an Artificial Neural Networks (ANN model is built and verified for quick estimation of the structural parameter obtained for a concrete gravity dam section due to seismic excitation. The database of numerous inputs and outputs obtained through Abaqus which are further converted into dimensionless forms in the statistical software (MATLAB to build the ANN model. The developed model can be used for accurate estimation of this parameter. The results showed an excellent capability of the model to predict the outputs with high accuracy and reduced computational time.

WEPP and ANN models for simulating soil loss and runoff in a semi-arid Mediterranean region.

Science.gov (United States)

Albaradeyia, Issa; Hani, Azzedine; Shahrour, Isam

2011-09-01

This paper presents the use of both the Water Erosion Prediction Project (WEPP) and the artificial neural network (ANN) for the prediction of runoff and soil loss in the central highland mountainous of the Palestinian territories. Analyses show that the soil erosion is highly dependent on both the rainfall depth and the rainfall event duration rather than on the rainfall intensity as mostly mentioned in the literature. The results obtained from the WEPP model for the soil loss and runoff disagree with the field data. The WEPP underestimates both the runoff and soil loss. Analyses conducted with the ANN agree well with the observation. In addition, the global network models developed using the data of all the land use type show a relatively unbiased estimation for both runoff and soil loss. The study showed that the ANN model could be used as a management tool for predicting runoff and soil loss.

The treatment of female stress urinary incontinence: an evidenced-based review

OpenAIRE

Cameron, Anne P; Haraway, Allen McNeil

2011-01-01

Anne P Cameron, Allen McNeil HarawayDepartment of Urology, Division of Neurourology and Pelvic Floor Reconstruction, University of Michigan Health System, Ann Arbor, MI, USAObjective: To review the literature on the surgical and nonsurgical treatment options for stress urinary incontinence in women, focusing exclusively on randomized clinical trials and high quality meta-analyses.Materials and methods: A computer-aided and manual search for published randomized controlled trials and high qual...

An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine, Iran

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Mahdi Saadat

2014-02-01

Full Text Available Blast-induced ground vibration is one of the inevitable outcomes of blasting in mining projects and may cause substantial damage to rock mass as well as nearby structures and human beings. In this paper, an attempt has been made to present an application of artificial neural network (ANN to predict the blast-induced ground vibration of the Gol-E-Gohar (GEG iron mine, Iran. A four-layer feed-forward back propagation multi-layer perceptron (MLP was used and trained with Levenberg–Marquardt algorithm. To construct ANN models, the maximum charge per delay, distance from blasting face to monitoring point, stemming and hole depth were taken as inputs, whereas peak particle velocity (PPV was considered as an output parameter. A database consisting of 69 data sets recorded at strategic and vulnerable locations of GEG iron mine was used to train and test the generalization capability of ANN models. Coefficient of determination (R2 and mean square error (MSE were chosen as the indicators of the performance of the networks. A network with architecture 4-11-5-1 and R2 of 0.957 and MSE of 0.000722 was found to be optimum. To demonstrate the supremacy of ANN approach, the same 69 data sets were used for the prediction of PPV with four common empirical models as well as multiple linear regression (MLR analysis. The results revealed that the proposed ANN approach performs better than empirical and MLR models.

Les nouvelles théories de la criminalité en Espagne sous la Restauración (1875-1910

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Ricardo Campos

2005-01-01

Full Text Available Perceptible dès les années 1880, l’intérêt pour l’anthropologie criminelle est en Espagne au centre des préoccupations scientifiques et littéraires, de l’opinion publique même jusqu’au début des années 1910. Ce phénomène est intimement lié à la fascination que la criminalité et le criminel suscitent dans la société espagnole de la Restauración. Dès la fin des années 1870, la presse “commence à faire des actes criminels un usage spectaculaire, reléguant à l’arrière plan, dans les cas les plus ...

A Review of 'Threadbare: Clothes, Sex and Trafficking'

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Dominic Davies

2017-06-01

Full Text Available This review offers an account of journalist Anne Elizabeth Moore’s short comics, co-authored with the Ladydrawers collective, relating to the fashion industry and global apparel and sex trades, and that have been recently collected together in book form. The review argues that the resulting book, 'Threadbare: Clothes, Sex & Trafficking' (2016, is evidence of the ability of the comics form to document social justice issues with nuance, yet without losing sight of the politically imperative calls for change that those issues demand.   'Threadbare: Clothes, Sex and Trafficking', by The Ladydrawers and Anne Elizabeth Moore, Portland: Microcosm Publishing, 2016. Paperback, 160 pages, 6 x 8, 2 colour interior (8.1 oz, Published May 3, 2016, ISBN: 978-1-62106-739-9

Intégration des CLOM dans une université à distance – Retour d’expérimentation à la TÉLUQ

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Gilbert Paquette

2016-01-01

Full Text Available Dans une université à distance comme la Télé-université (TÉLUQ, pratiquant la formation à distance depuis plus de 40 ans et offrant la formation en ligne depuis une vingtaine d’années, l’intégration de cours en ligne ouverts et massifs (CLOM; MOOC en anglais se posait dans un contexte très différent de celui d’une université offrant principalement des cours en présence. Pour clarifier les enjeux, un projet pilote a été réalisé à la TÉLUQ à la fin de 2014 dans lequel deux cours ont été produits et diffusés à l’international en mode CLOM. Les objectifs de ce projet consistaient à évaluer les possibilités offertes par les approches pédagogiques réalisées dans les CLOM par rapport à celles en usage en formation à distances (FAD à la TÉLUQ; à établir un processus d’adaptation des cours en ligne pour une diffusion massive; à élaborer une stratégie de communication et de recrutement international pour ces cours et finalement à définir un modèle de diffusion cible pour les CLOM en prenant en compte les caractéristiques d’une université à distance comme la TÉ- LUQ. Cet article présente un retour d’expérience de ce projet pilote, ainsi qu’une synthèse du modèle de diffusion en mode CLOM qui en a résulté.

Symbolism--The Main Artistic Style of Katherine Anne Porter's Short Stories

Science.gov (United States)

Wang, Ru

2010-01-01

The paper takes Katherine Anne Porter's two short stories: "Flowering Judas", "The Grave" as objects of study. It will try to analyze Porter's writing style through her imaginary conception, vivid psychological description and multiple symbolisms so that we can understand her studies and her attitudes to female psychological…

Kriminalinė pasaka: žanrų suliejimas istorijos atpirkimui Jayne Anne Phillips romane „Quiet Dell“

OpenAIRE

Milvidaitė, Salomėja

2016-01-01

Fairy Tale True Crime: Genre Bending for the Redemption of History in Jayne Anne Phillips' “Quiet Dell” Jayne Anne Phillips’ novel Quiet Dell (2013) depicts a true story concerning the infamous murders in the eponymous hamlet near Phillips’ hometown in West Virginia. The true crime story, however, is given a twist when the first ghostly appearance takes place. The purpose of the present BA paper is to analyse how, by employing various fantastic elements, the genres of true crime and fairy tal...

"I am the vampire for these times": Representations of Postmodernity in Anne Rice's The Vampire Chronicles

OpenAIRE

RINNE, ANTTI

2013-01-01

Anne Ricen The Vampire Chronicles -kirjasarjaa voidaan pitää vampyyrinarratiivien uutena aaltona 1970-luvulta lähtien. Ricen romaaneissa vampyyrit itse nousivat pääosaan kirjojen päähenkilöinä, ja romaanit tietyssä määrin irtautuivat vanhemman vampyyrikirjallisuuden kaavoista. Tutkimukseni aiheena ovat Anne Ricen romaanisarjan kolme ensimmäistä teosta, Interview with the Vampire (1976), The Vampire Lestat (1985) ja The Queen of the Damned (1988). Tutkielmani keskittyy siihen, kuinka kyseiset ...

diversité des pratiques d'intégration agriculture – élevage

African Journals Online (AJOL)

BOL BI

Dans le sud la région de Maradi, l'agriculture et l'élevage sont les deux principales activités socio-économiques qui occupent environ 95% de la population. Ces activités sont pratiquées de façon intégrée dans un contexte de très forte pression démographique (plus de 70 habitants/km²). Pour comprendre les pratiques ...

Application of back-propagation artificial neural network (ANN) to predict crystallite size and band gap energy of ZnO quantum dots

Science.gov (United States)

Pelicano, Christian Mark; Rapadas, Nick; Cagatan, Gerard; Magdaluyo, Eduardo

2017-12-01

Herein, the crystallite size and band gap energy of zinc oxide (ZnO) quantum dots were predicted using artificial neural network (ANN). Three input factors including reagent ratio, growth time, and growth temperature were examined with respect to crystallite size and band gap energy as response factors. The generated results from neural network model were then compared with the experimental results. Experimental crystallite size and band gap energy of ZnO quantum dots were measured from TEM images and absorbance spectra, respectively. The Levenberg-Marquardt (LM) algorithm was used as the learning algorithm for the ANN model. The performance of the ANN model was then assessed through mean square error (MSE) and regression values. Based on the results, the ANN modelling results are in good agreement with the experimental data.

The use of intelligent database systems in acute pancreatitis--a systematic review.

Science.gov (United States)

van den Heever, Marc; Mittal, Anubhav; Haydock, Matthew; Windsor, John

2014-01-01

Acute pancreatitis (AP) is a complex disease with multiple aetiological factors, wide ranging severity, and multiple challenges to effective triage and management. Databases, data mining and machine learning algorithms (MLAs), including artificial neural networks (ANNs), may assist by storing and interpreting data from multiple sources, potentially improving clinical decision-making. 1) Identify database technologies used to store AP data, 2) collate and categorise variables stored in AP databases, 3) identify the MLA technologies, including ANNs, used to analyse AP data, and 4) identify clinical and non-clinical benefits and obstacles in establishing a national or international AP database. Comprehensive systematic search of online reference databases. The predetermined inclusion criteria were all papers discussing 1) databases, 2) data mining or 3) MLAs, pertaining to AP, independently assessed by two reviewers with conflicts resolved by a third author. Forty-three papers were included. Three data mining technologies and five ANN methodologies were reported in the literature. There were 187 collected variables identified. ANNs increase accuracy of severity prediction, one study showed ANNs had a sensitivity of 0.89 and specificity of 0.96 six hours after admission--compare APACHE II (cutoff score ≥8) with 0.80 and 0.85 respectively. Problems with databases were incomplete data, lack of clinical data, diagnostic reliability and missing clinical data. This is the first systematic review examining the use of databases, MLAs and ANNs in the management of AP. The clinical benefits these technologies have over current systems and other advantages to adopting them are identified. Copyright © 2013 IAP and EPC. Published by Elsevier B.V. All rights reserved.

Applying a supervised ANN (artificial neural network) approach to the prognostication of driven wheel energy efficiency indices

International Nuclear Information System (INIS)

Taghavifar, Hamid; Mardani, Aref

2014-01-01

This paper examines the prediction of energy efficiency indices of driven wheels (i.e. traction coefficient and tractive power efficiency) as affected by wheel load, slippage and forward velocity at three different levels with three replicates to form a total of 162 data points. The pertinent experiments were carried out in the soil bin testing facility. A feed-forward ANN (artificial neural network) with standard BP (back propagation) algorithm was practiced to construct a supervised representation to predict the energy efficiency indices of driven wheels. It was deduced, in view of the statistical performance criteria (i.e. MSE (mean squared error) and R 2 ), that a supervised ANN with 3-8-10-2 topology and Levenberg–Marquardt training algorithm represented the optimal model. Modeling implementations indicated that ANN is a powerful technique to prognosticate the stochastic energy efficiency indices as affected by soil-wheel interactions with MSE of 0.001194 and R 2 of 0.987 and 0.9772 for traction coefficient and tractive power efficiency. It was found that traction coefficient and tractive power efficiency increase with increased slippage. A similar trend is valid for the influence of wheel load on the objective parameters. Wherein increase of velocity led to an increment of tractive power efficiency, velocity had no significant effect on traction coefficient. - Highlights: • Energy efficiency indexes were assessed as affected by tire parameters. • ANN was applied for prognostication of the objective parameters. • A 3-8-10-2 ANN with MSE of 0.001194 and R 2 of 0.987 and 0.9772 was designated as optimal model. • Optimal values of learning rate and momentum were found 0.9 and 0.5, respectively

Jo Ann Baumgartner and Sam Earnshaw: Organizers and Farmers

OpenAIRE

Rabkin, Sarah

2010-01-01

Jo Ann Baumgartner directs the Wild Farm Alliance, based in Watsonville, California. WFA’s mission, as described on the organization’s website, is “to promote agriculture that helps to protect and restore wild Nature.” Through research, publications, presentations, events, policy work, and consulting, the organization works to “connect food systems with ecosystems.” Sam Earnshaw is Central Coast regional coordinator of the Community Alliance with Family Farmers. Working with CAFF’s f...

75 FR 64403 - Submission for OMB Review; Comment Request

Science.gov (United States)

2010-10-19

... trustees and issuers to report contributions to, and the fair market value of, an individual retirement.... Type of Review: Extension without change to a currently approved collection. Title: Form 1099-INT...

Exploring QSARs of the interaction of flavonoids with GABA (A) receptor using MLR, ANN and SVM techniques.

Science.gov (United States)

Deeb, Omar; Shaik, Basheerulla; Agrawal, Vijay K

2014-10-01

Quantitative Structure-Activity Relationship (QSAR) models for binding affinity constants (log Ki) of 78 flavonoid ligands towards the benzodiazepine site of GABA (A) receptor complex were calculated using the machine learning methods: artificial neural network (ANN) and support vector machine (SVM) techniques. The models obtained were compared with those obtained using multiple linear regression (MLR) analysis. The descriptor selection and model building were performed with 10-fold cross-validation using the training data set. The SVM and MLR coefficient of determination values are 0.944 and 0.879, respectively, for the training set and are higher than those of ANN models. Though the SVM model shows improvement of training set fitting, the ANN model was superior to SVM and MLR in predicting the test set. Randomization test is employed to check the suitability of the models.

Mart ja Mari-Ann Susi taotlevad omanikena Concordia pankrotti / Andri Maimets

Index Scriptorium Estoniae

Maimets, Andri

2003-01-01

Concordia Ülikooli rektori kohast loobunud Mart Susi ning prorektori ametikohalt lahkunud Mari-Ann Susi taotlevad neile kuuluvat ülikooli pidanud miljonivõlgades firma pankrotti. Hiljuti loodi õppejõududest, tudengitest js töötajatest mittetulundusühing Concordia Akadeemiline Ühisus (CAU), selle nõukogu esimees on Hagi Šein

Le potentiel des voyageurs américains en matière de tourisme culinaire

OpenAIRE

Levasseur, Maïthé

2011-01-01

Le tourisme culinaire se développe rapidement depuis quelques années et intéresse les intervenants touristiques de nombreuses destinations. L’étude permet de découvrir les différents types de touristes culinaires, leur profil ainsi que leurs intérêts. Le tourisme culinaire va au-delà de l’expérience de la fine cuisine. Selon la CCT (Commission canadienne du tourisme, 2002), « il comprend les activités culinaires, agrotouristiques et agroalimentaires spécialement conçues pour les touristes, qu...

On-line dynamic monitoring automotive exhausts: using BP-ANN for distinguishing multi-components

Science.gov (United States)

Zhao, Yudi; Wei, Ruyi; Liu, Xuebin

2017-10-01

Remote sensing-Fourier Transform infrared spectroscopy (RS-FTIR) is one of the most important technologies in atmospheric pollutant monitoring. It is very appropriate for on-line dynamic remote sensing monitoring of air pollutants, especially for the automotive exhausts. However, their absorption spectra are often seriously overlapped in the atmospheric infrared window bands, i.e. MWIR (3 5μm). Artificial Neural Network (ANN) is an algorithm based on the theory of the biological neural network, which simplifies the partial differential equation with complex construction. For its preferable performance in nonlinear mapping and fitting, in this paper we utilize Back Propagation-Artificial Neural Network (BP-ANN) to quantitatively analyze the concentrations of four typical industrial automotive exhausts, including CO, NO, NO2 and SO2. We extracted the original data of these automotive exhausts from the HITRAN database, most of which virtually overlapped, and established a mixed multi-component simulation environment. Based on Beer-Lambert Law, concentrations can be retrieved from the absorbance of spectra. Parameters including learning rate, momentum factor, the number of hidden nodes and iterations were obtained when the BP network was trained with 80 groups of input data. By improving these parameters, the network can be optimized to produce necessarily higher precision for the retrieved concentrations. This BP-ANN method proves to be an effective and promising algorithm on dealing with multi-components analysis of automotive exhausts.

Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation

International Nuclear Information System (INIS)

Voyant, Cyril; Muselli, Marc; Paoli, Christophe; Nivet, Marie-Laure

2012-01-01

We propose in this paper an original technique to predict global radiation using a hybrid ARMA/ANN model and data issued from a numerical weather prediction model (NWP). We particularly look at the multi-layer perceptron (MLP). After optimizing our architecture with NWP and endogenous data previously made stationary and using an innovative pre-input layer selection method, we combined it to an ARMA model from a rule based on the analysis of hourly data series. This model has been used to forecast the hourly global radiation for five places in Mediterranean area. Our technique outperforms classical models for all the places. The nRMSE for our hybrid model MLP/ARMA is 14.9% compared to 26.2% for the naïve persistence predictor. Note that in the standalone ANN case the nRMSE is 18.4%. Finally, in order to discuss the reliability of the forecaster outputs, a complementary study concerning the confidence interval of each prediction is proposed. -- Highlights: ► Time series forecasting with hybrid method based on the use of ALADIN numerical weather model, ANN and ARMA. ► Innovative pre-input layer selection method. ► Combination of optimized MLP and ARMA model obtained from a rule based on the analysis of hourly data series. ► Stationarity process (method and control) for the global radiation time series.

Modelling the spectral irradiance distribution in sunny inland locations using an ANN-based methodology

International Nuclear Information System (INIS)

Torres-Ramírez, M.; Elizondo, D.; García-Domingo, B.; Nofuentes, G.; Talavera, D.L.

2015-01-01

This work is aimed at verifying that in sunny inland locations artificial intelligence techniques may provide an estimation of the spectral irradiance with adequate accuracy for photovoltaic applications. An ANN (artificial neural network) based method was developed, trained and tested to model the spectral distributions between wavelengths ranging from 350 to 1050 nm. Only commonly available input data such as geographical information regarding location, specific date and time together with horizontal global irradiance and ambient temperature are required. Historical information from a 24-month experimental campaign carried out in Jaén (Spain) provided the necessary data to train and test the ANN tool. A Kohonen self-organized map was used as innovative technique to classify the whole input dataset and build a small and representative training dataset. The shape of the spectral irradiance distribution, the in-plane global irradiance (G T ) and irradiation (H T ) and the APE (average photon energy) values obtained through the ANN method were statistically compared to the experimental ones. In terms of shape distribution fitting, the mean relative deformation error stays below 4.81%. The root mean square percentage error is around 6.89% and 0.45% when estimating G T and APE, respectively. Regarding H T , errors lie below 3.18% in all cases. - Highlights: • ANN-based model to estimate the spectral irradiance distribution in sunny inland locations. • MRDE value stay below 4.81% in spectral irradiance distribution shape fitting. • RMSPE is about 6.89% for the in-plane global irradiance and 0.45% for the average photon energy. • Errors stay below 3.18% for all the months of the year in incident irradiation terms. • Improvement of assessment of the impact of the solar spectrum in the performance of a PV module

Development of ANN-based models to predict the static response and dynamic response of a heat exchanger in a real MVAC system

International Nuclear Information System (INIS)

Hu Qinhua; So, Albert T P; Tse, W L; Ren, Qingchang

2005-01-01

This paper presents a systematic approach to develop artificial neural network (ANN) models to predict the performance of a heat exchanger operating in real mechanical ventilation and air-conditioning (MVAC) system. Two approaches were attempted and presented. Every detailed components of the MVAC system have been considered and we attempt to model each of them by one ANN. This study used the neural network technique to obtain a static and a dynamic model for a heat exchanger mounted in an air handler unit (AHU), which is the key component of the MVAC system. It has been verified that almost all of the predicted values of the ANN model were within 95% - 105% of the measured values, with a consistent mean relative error (MRE) smaller than 2.5%. The paper details our experiences in using ANNs, especially those with back-propagation (BP) structures. Also, the weights and biases of our trained-up ANN models are listed out, which serve as good reference for readers to deal with their own situations

Alice-Anne Martin (1926 - 2016)

CERN Multimedia

2016-01-01

Alice-Anne Martin, known as “Schu” from her maiden name Schubert, passed away on 8 January 2016.   (Image: Gérard Bertin) Hired the year CERN was founded, 1954, when the construction of the Laboratory had not even begun, Schu first worked at the Villa de Cointrin (a historic building now within the grounds of Geneva airport) as a secretary. In this role, she typed the convention between CERN and the Swiss Confederation, prepared by Stéphanie Tixier, as well as some of the "Yellow Reports" that have marked key points in the Laboratory’s history. For example, using a special typewriter with two keyboards – Latin and Greek – she typed the Yellow Report on the KAM theorem by Rolf Hagedorn. Schu also worked with Felix Bloch, the first Director-General of CERN, and later became the secretary of Herbert Coblenz, the first CERN librarian. She was head of the team that edited the proceedings of the ...

The Sally-Anne Test: An Interactional Analysis of a Dyadic Assessment

Science.gov (United States)

Korkiakangas, Terhi; Dindar, Katja; Laitila, Aarno; Kärnä, Eija

2016-01-01

Background: The Sally-Anne test has been extensively used to examine children's theory of mind understanding. Many task-related factors have been suggested to impact children's performance on this test. Yet little is known about the interactional aspects of such dyadic assessment situations that might contribute to the ways in which children…

2006 Maryland Department of Natural Resources Lidar: Caroline, Kent and Queen Anne Counties

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Maryland Department of Natural Resources requested the collection of LIDAR data over Kent, Queen Anne and Caroline Counties, MD. In response, EarthData acquired the...

Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN).

Science.gov (United States)

Park, Sechan; Kim, Minjeong; Kim, Minhae; Namgung, Hyeong-Gyu; Kim, Ki-Tae; Cho, Kyung Hwa; Kwon, Soon-Bark

2018-01-05

The indoor air quality of subway systems can significantly affect the health of passengers since these systems are widely used for short-distance transit in metropolitan urban areas in many countries. The particles generated by abrasion during subway operations and the vehicle-emitted pollutants flowing in from the street in particular affect the air quality in underground subway stations. Thus the continuous monitoring of particulate matter (PM) in underground station is important to evaluate the exposure level of PM to passengers. However, it is difficult to obtain indoor PM data because the measurement systems are expensive and difficult to install and operate for significant periods of time in spaces crowded with people. In this study, we predicted the indoor PM concentration using the information of outdoor PM, the number of subway trains running, and information on ventilation operation by the artificial neural network (ANN) model. As well, we investigated the relationship between ANN's performance and the depth of underground subway station. ANN model showed a high correlation between the predicted and actual measured values and it was able to predict 67∼80% of PM at 6 subway station. In addition, we found that platform shape and depth influenced the model performance. Copyright © 2017 Elsevier B.V. All rights reserved.

Recension Undervisa tillgängligt

Directory of Open Access Journals (Sweden)

Caroline Olsson

2013-04-01

Full Text Available Caroline Olsson recenserar:Undervisa tillgängligt! Pedagogiska strategier för att funktionsnedsättning hos studenter inte skall vara ett hinder för att genomföra studierna (2012, reviderad upplaga, av Ann-Sofie Henriksson, Uppsala universitet, 116 s. 

78 FR 65380 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

Science.gov (United States)

2013-10-31

... the University of Michigan, Ann Arbor, MI. The human remains were removed from Alpena, Isabella, Grand... removed from the Devil River Mound site (20AL1) in Alpena County, MI. A resident of Ossineke, MI...

Prediction of temperature and HAZ in thermal-based processes with Gaussian heat source by a hybrid GA-ANN model

Science.gov (United States)

Fazli Shahri, Hamid Reza; Mahdavinejad, Ramezanali

2018-02-01

Thermal-based processes with Gaussian heat source often produce excessive temperature which can impose thermally-affected layers in specimens. Therefore, the temperature distribution and Heat Affected Zone (HAZ) of materials are two critical factors which are influenced by different process parameters. Measurement of the HAZ thickness and temperature distribution within the processes are not only difficult but also expensive. This research aims at finding a valuable knowledge on these factors by prediction of the process through a novel combinatory model. In this study, an integrated Artificial Neural Network (ANN) and genetic algorithm (GA) was used to predict the HAZ and temperature distribution of the specimens. To end this, a series of full factorial design of experiments were conducted by applying a Gaussian heat flux on Ti-6Al-4 V at first, then the temperature of the specimen was measured by Infrared thermography. The HAZ width of each sample was investigated through measuring the microhardness. Secondly, the experimental data was used to create a GA-ANN model. The efficiency of GA in design and optimization of the architecture of ANN was investigated. The GA was used to determine the optimal number of neurons in hidden layer, learning rate and momentum coefficient of both output and hidden layers of ANN. Finally, the reliability of models was assessed according to the experimental results and statistical indicators. The results demonstrated that the combinatory model predicted the HAZ and temperature more effective than a trial-and-error ANN model.

L'intégration des accélérateurs du CERN

CERN Document Server

Chemli, S; CERN. Geneva. TS Department

2008-01-01

L?intégration du LHC a ouvert des perspectives pour une gestion plus complète des accélérateurs du CERN. La base de données LAYOUT a permis d'assurer la continuité des phases de définition optique du projet, d'intégration 3D et de contrôles de conformité des installations. Les scans et modélisations 3D en couches des installations réalisées constituent un outil déterminant pour la préparation des interventions dans le cadre des procédures de sécurité ALARA. Il est proposé de reproduire cette méthodologie pour les nouveaux projets comme pour les accélérateurs existants. La mise à jour de l'anneau SPS dans LAYOUT semble être la priorité. La base de données SURVEY contient déjà une vue d'ensemble des accélérateurs, chaque composant étant référencé dans le Système de Coordonnées du CERN, selon les définitions théoriques "sources" au 1/100 mm. Base pour l'alignement, elle stocke également les positions réelles des machines. Elle complète ainsi l'information linéaire de LAY...

El intérprete de Lengua de Signos en el ámbito educativo: problemática y propuestas de mejora

Directory of Open Access Journals (Sweden)

Marina Uría Fernández

2017-01-01

Full Text Available La figura del intérprete de Lengua de Signos es un recurso en el aprendizaje de los alumnos con discapacidad auditiva que contribuye al desarrollo de la experiencia bilingüe en los centros educativos españoles. Este estudio se centra en la figura del intérprete de Lengua de Signos como pieza fundamental en el entorno de aprendizaje del alumnado sordo en la Comunidad Autónoma de Castilla y León. El objetivo general del estudio es analizar los factores que obstaculizan y facilitan la labor del intérprete en los centros educativos de Castilla y León. Se ha utilizado una metodología de corte cualitativo de exploración descriptiva y evaluativa orientada a la decisión, utilizando el análisis DAFO para la interpretación de los resultados obtenidos. La muestra de este estudio ha estado constituida por diez intérpretes de Lengua de Signos que ejercían su profesión en centros públicos de Castilla y León durante el curso académico 2013/2014, seleccionados a través de la técnica cualitativa de informantes clave. Los resultados obtenidos destacan el desconocimiento del profesional intérprete de Lengua de Signos por parte de la comunidad educativa, la falta de criterios normativos que regulen equitativamente la participación de este profesional en el centro, y finalmente, la necesidad de una mayor integración de esta figura en el ámbito educativo para mejorar la calidad de la experiencia bilingüe de los alumnos sordos. Algunas de las propuestas más relevantes para superar los puntos débiles y potenciar los puntos fuertes identificados en el estudio son potenciar el trabajo en equipo entre todos los agentes educativos y sociales, la sensibilización y asesoramiento de toda la comunidad educativa y el desarrollo de estrategias individualizadas y adaptadas a las necesidades de cada uno de estos alumnos.

A call for water-efficient technologies (an interview with dr. Anne Elings)

NARCIS (Netherlands)

Elings, A.

2012-01-01

During the recent International Flower Trade Expo in Nairobi, Wageningen UR Greenhouse Horticulture project leader and greenhouse horticulture specialist Anne Elings pointed out that Kenya is not a water scarce country but management of the same is wanting. HortiNews had a chat with him.

INT (2-(4-Iodophenyl)-3-(4-Nitrophenyl)-5-(Phenyl) Tetrazolium Chloride) Is Toxic to Prokaryote Cells Precluding Its Use with Whole Cells as a Proxy for In Vivo Respiration.

Science.gov (United States)

Villegas-Mendoza, Josué; Cajal-Medrano, Ramón; Maske, Helmut

2015-11-01

Prokaryote respiration is expected to be responsible for more than half of the community respiration in the ocean, but the lack of a practical method to measure the rate of prokaryote respiration in the open ocean resulted in very few published data leaving the role of organotrophic prokaryotes open to debate. Oxygen consumption rates of oceanic prokaryotes measured with current methods may be biased due to pre-incubation size filtration and long incubation times both of which can change the physiological and taxonomic profile of the sample during the incubation period. In vivo INT reduction has been used in terrestrial samples to estimate respiration rates, and recently, the method was introduced and applied in aquatic ecology. We measured oxygen consumption rates and in vivo INT reduction to formazan in cultures of marine bacterioplankton communities, Vibrio harveyi and the eukaryote Isochrysis galbana. For prokaryotes, we observed a decrease in oxygen consumption rates with increasing INT concentrations between 0.05 and 1 mM. Time series after 0.5 mM INT addition to prokaryote samples showed a burst of in vivo INT reduction to formazan and a rapid decline of oxygen consumption rates to zero within less than an hour. Our data for non-axenic eukaryote cultures suggest poisoning of the eukaryote. Prokaryotes are clearly poisoned by INT on time scales of less than 1 h, invalidating the interpretation of in vivo INT reduction to formazan as a proxy for oxygen consumption rates.

Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles.

Science.gov (United States)

Bisgin, Halil; Bera, Tanmay; Ding, Hongjian; Semey, Howard G; Wu, Leihong; Liu, Zhichao; Barnes, Amy E; Langley, Darryl A; Pava-Ripoll, Monica; Vyas, Himansu J; Tong, Weida; Xu, Joshua

2018-04-25

Insect pests, such as pantry beetles, are often associated with food contaminations and public health risks. Machine learning has the potential to provide a more accurate and efficient solution in detecting their presence in food products, which is currently done manually. In our previous research, we demonstrated such feasibility where Artificial Neural Network (ANN) based pattern recognition techniques could be implemented for species identification in the context of food safety. In this study, we present a Support Vector Machine (SVM) model which improved the average accuracy up to 85%. Contrary to this, the ANN method yielded ~80% accuracy after extensive parameter optimization. Both methods showed excellent genus level identification, but SVM showed slightly better accuracy  for most species. Highly accurate species level identification remains a challenge, especially in distinguishing between species from the same genus which may require improvements in both imaging and machine learning techniques. In summary, our work does illustrate a new SVM based technique and provides a good comparison with the ANN model in our context. We believe such insights will pave better way forward for the application of machine learning towards species identification and food safety.

Dispersion compensation of fiber optic communication system with direct detection using artificial neural networks (ANNs)

Science.gov (United States)

Maghrabi, Mahmoud M. T.; Kumar, Shiva; Bakr, Mohamed H.

2018-02-01

This work introduces a powerful digital nonlinear feed-forward equalizer (NFFE), exploiting multilayer artificial neural network (ANN). It mitigates impairments of optical communication systems arising due to the nonlinearity introduced by direct photo-detection. In a direct detection system, the detection process is nonlinear due to the fact that the photo-current is proportional to the absolute square of the electric field intensity. The proposed equalizer provides the most efficient computational cost with high equalization performance. Its performance is comparable to the benchmark compensation performance achieved by maximum-likelihood sequence estimator. The equalizer trains an ANN to act as a nonlinear filter whose impulse response removes the intersymbol interference (ISI) distortions of the optical channel. Owing to the proposed extensive training of the equalizer, it achieves the ultimate performance limit of any feed-forward equalizer (FFE). The performance and efficiency of the equalizer is investigated by applying it to various practical short-reach fiber optic communication system scenarios. These scenarios are extracted from practical metro/media access networks and data center applications. The obtained results show that the ANN-NFFE compensates for the received BER degradation and significantly increases the tolerance to the chromatic dispersion distortion.

Anne Le Huérou, Aude Merlin, Amandine Regamey and Silvia Serrano, Tchétchénie: une affaire intérieure? Russes et Tchétchènes dans l’étau de la guerre, Paris: Editions Autrement, 2005

Directory of Open Access Journals (Sweden)

Bruno Coppieters

2005-10-01

Full Text Available This book on Chechnya has been co-authored by Anne Le Huérou, Aude Merlin, Amandine Regamey and Silvia Serrano. These scholars are associated with either the Ecole des hautes études en sciences sociales - CNRS or with the Institut d'études politiques de Paris. Their book offers an excellent introduction to the two most recent wars with Russia. Its aim is to explain to a wider public their historical and social background, the claims put forward by the various actors, the different currents in...

A comparative study of ANN and neuro-fuzzy for the prediction of ...

Indian Academy of Sciences (India)

Istanbul Technical University, Faculty of Civil Engineering, Hydraulics and Water. Resources Division, Maslak 34469, Istanbul, Turkey. Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has ...

Création d'outils pour la mesure de l'intégration des technologies de ...

International Development Research Centre (IDRC) Digital Library (Canada)

... dont les technologies de l'information et de la communication (TIC) sont intégrées en classe. ... Colombia, Mexico, Peru, Uruguay. Project Leader. Susana Martínez Restrepo. Institution. Fundación para la Educación Superior y el Desarrollo.

ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs

Directory of Open Access Journals (Sweden)

Adel Taha Abbas

2018-05-01

Full Text Available Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinability at high cutting speeds. A novel Edgeworth–Pareto optimization of an artificial neural network (ANN is presented in this paper for surface roughness (Ra prediction of one component in computer numerical control (CNC turning over minimal machining time (Tm and at prime machining costs (C. An ANN is built in the Matlab programming environment, based on a 4-12-3 multi-layer perceptron (MLP, to predict Ra, Tm, and C, in relation to cutting speed, vc, depth of cut, ap, and feed per revolution, fr. For the first time, a profile of an AZ61 alloy workpiece after finish turning is constructed using an ANN for the range of experimental values vc, ap, and fr. The global minimum length of a three-dimensional estimation vector was defined with the following coordinates: Ra = 0.087 μm, Tm = 0.358 min/cm3, C = $8.2973. Likewise, the corresponding finish-turning parameters were also estimated: cutting speed vc = 250 m/min, cutting depth ap = 1.0 mm, and feed per revolution fr = 0.08 mm/rev. The ANN model achieved a reliable prediction accuracy of ±1.35% for surface roughness.

Development of a new software tool, based on ANN technology, in neutron spectrometry and dosimetry research

International Nuclear Information System (INIS)

Ortiz R, J.M.; Martinez B, M.R.; Vega C, H.R.

2007-01-01

Artificial Intelligence is a branch of study which enhances the capability of computers by giving them human-like intelligence. The brain architecture has been extensively studied and attempts have been made to emulate it as in the Artificial Neural Network technology. A large variety of neural network architectures have been developed and they have gained wide-spread popularity over the last few decades. Their application is considered as a substitute for many classical techniques that have been used for many years, as in the case of neutron spectrometry and dosimetry research areas. In previous works, a new approach called Robust Design of Artificial Neural network was applied to build an ANN topology capable to solve the neutron spectrometry and dosimetry problems within the Mat lab programming environment. In this work, the knowledge stored at Mat lab ANN's synaptic weights was extracted in order to develop for first time a customized software application based on ANN technology, which is proposed to be used in the neutron spectrometry and simultaneous dosimetry fields. (Author)

Development of a new software tool, based on ANN technology, in neutron spectrometry and dosimetry research

Energy Technology Data Exchange (ETDEWEB)

Ortiz R, J.M.; Martinez B, M.R.; Vega C, H.R. [Universidad Autonoma de Zacatecas, Av. Ramon Lopez Velarde 801, A.P. 336, 98000 Zacatecas (Mexico)

2007-07-01

Artificial Intelligence is a branch of study which enhances the capability of computers by giving them human-like intelligence. The brain architecture has been extensively studied and attempts have been made to emulate it as in the Artificial Neural Network technology. A large variety of neural network architectures have been developed and they have gained wide-spread popularity over the last few decades. Their application is considered as a substitute for many classical techniques that have been used for many years, as in the case of neutron spectrometry and dosimetry research areas. In previous works, a new approach called Robust Design of Artificial Neural network was applied to build an ANN topology capable to solve the neutron spectrometry and dosimetry problems within the Mat lab programming environment. In this work, the knowledge stored at Mat lab ANN's synaptic weights was extracted in order to develop for first time a customized software application based on ANN technology, which is proposed to be used in the neutron spectrometry and simultaneous dosimetry fields. (Author)

Facteurs associés à l’intégration stratégique des TIC par le personnel enseignant

OpenAIRE

Busana, Gilbert

2001-01-01

Ce mémoire porte sur les facteurs qui incitent le personnel enseignant à faire une intégration stratégique des TIC1. Nous avons remarqué qu’une partie des enseignants et des enseignantes, en faible proportion, réussissent à faire une telle intégration, et qu’une partie n’en font pas. L’objectif de cette recherche est d’identifier les facteurs qui tendent à avoir une influence sur ce phénomène, ainsi que de saisir leur rôle et de comprendre comment ils opèrent. Dans une premiè...

Comparative study of landslides susceptibility mapping methods: Multi-Criteria Decision Making (MCDM) and Artificial Neural Network (ANN)

Science.gov (United States)

Salleh, S. A.; Rahman, A. S. A. Abd; Othman, A. N.; Mohd, W. M. N. Wan

2018-02-01

As different approach produces different results, it is crucial to determine the methods that are accurate in order to perform analysis towards the event. This research aim is to compare the Rank Reciprocal (MCDM) and Artificial Neural Network (ANN) analysis techniques in determining susceptible zones of landslide hazard. The study is based on data obtained from various sources such as local authority; Dewan Bandaraya Kuala Lumpur (DBKL), Jabatan Kerja Raya (JKR) and other agencies. The data were analysed and processed using Arc GIS. The results were compared by quantifying the risk ranking and area differential. It was also compared with the zonation map classified by DBKL. The results suggested that ANN method gives better accuracy compared to MCDM with 18.18% higher accuracy assessment of the MCDM approach. This indicated that ANN provides more reliable results and it is probably due to its ability to learn from the environment thus portraying realistic and accurate result.

Les crises soudanaises des années 80

OpenAIRE

Ahmed, Medani M.; al-Shazali, Salah al-Din; al-Shazali, Salah al-Din; al-Shazali, Salah al-Din; al-Shazali, Salah al-Din; Al-Tom, Abdulahi Osman; Babiker, Mustafa; Babiker, Mustafa; Blin, Louis; Conte, Édouard; Elmekki, Abdelgalil M.; Gore, Paul W.; Hamid, Mohammed Beshir; Ireton, François; Jacquemond, Richard

2008-01-01

Ce dossier est constitué, dans sa quasi-totalité, de contributions de chercheurs et universitaires soudanais proposant une analyse de certains des problèmes cruciaux que leur pays a connus depuis le début des années 80. Les articles qui le composent correspondent aux communications qui devaient initialement être présentées lors d’un colloque portant sur le même thème, prévu à Paris pour décembre 1991 et qui n'a pu avoir lieu du fait de l’impossibilité où se trouvaient certains de ses particip...

Pour que l'exploitation minière marche : intégrer des petits mineurs ...

International Development Research Centre (IDRC) Digital Library (Canada)

31 janv. 2011 ... Pour que l'exploitation minière marche : intégrer des petits mineurs pauvres dans ... ou reconnaissance de l'État est le mode de vie d'environ 13 millions de ... Selon l'Organisation internationale du travail (OIT), entre 11 et 13 millions ... mineurs subissent des discriminations et n'ont accès qu'aux parties les ...

Intégration régionale, commerce et essor du secteur privé (Namibie ...

International Development Research Centre (IDRC) Digital Library (Canada)

Intégration régionale, commerce et essor du secteur privé (Namibie). La Namibie aspire à atteindre un niveau de vie comparable à celui des pays développés d'ici 2030. Le Namibian Economic Policy Research Unit (NEPRU), le principal institut de recherche sur la politique économique du pays, a pour mandat d'aider le ...

Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method

Directory of Open Access Journals (Sweden)

Miloš Madić

2015-01-01

Full Text Available In this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 laser cutting of AISI 304 stainless steel. To this aim, a single hidden layer artificial neural network (ANN trained with gradient descent with momentum algorithm was used. To obtain an experimental database for the ANN training, laser cutting experiment was planned as per Taguchi’s L27 orthogonal array with three levels for each of the cutting parameters. Statistically assessed as adequate, ANN model was then used to investigate the effect of the laser cutting parameters on the kerf taper angle by generating 2D and 3D plots. It was observed that the kerf taper angle was highly sensitive to the selected laser cutting parameters, as well as their interactions. In addition to modeling, by applying the Monte Carlo method on the developed kerf taper angle ANN model, the near optimal laser cutting parameter settings, which minimize kerf taper angle, were determined.

A vitamini ve anne çocuk sağlığı Derleme

OpenAIRE

Günlemez, Ayla; Atasay, Begüm; Arsan, Saadet

2014-01-01

A vitamini normal görmede hücre farklılaşmasında çoğalmasında ve epitelial bütünlüğün sağlanmasında kritik rol oynar Gelişmekte olan ülkelerde A vitamini eksikliği önemli ve önlenebilir halk sağlığı sorunlarından biridir Bu makalede dünyada ve Türkiye’de A vitamini eksikliği ve anne çocuk sağlığı üzerine etkileri tartışılmaktadır Anahtar Kelimeler: A vitamini anne sağlığı çocuk sağlığıSummaryVitamin A has a critical role in normal vision cell differantiation proliferation and maintanence of e...

Att sluta eller inte sluta : En litteraturstudie om tobaksavvänjningsmetoder

OpenAIRE

Bjellman, Karin

2007-01-01

Att sluta eller inte sluta? En litteraturstudie om tobaksavvänjningsmetoder Bjellman, K. Tobaksbruket har en lång historia, och de tobaksrelaterade sjukdomarna kostar samhället miljarder i sjukvårdskostnader och produktionsbortfall varje år. Andelen rökare minskar stadigt i Sverige, idag röker ca 15 procent av befolkningen. Resultaten från olika metoder för tobaksavvänjning är tämligen blygsamma, och ugefär nittio procent av de som slutar röka gör det på egen hand. Syftet med denna studie var...

Effect of sodium adsorption ratio and electric conductivity of the ...

African Journals Online (AJOL)

of the water and its sodium content relative to calcium and magnesium content. ... calcium and magnesium is the sodium adsorption ratio (SAR). It is a measure of the ..... comparison of ANN and geo statistics methods for estimating spatial distribution of sodium adsorption ratio (SAR) in groundwater. Int. J. Agric. Crop Sci.

Prediction by Artificial Neural Networks (ANN of the diffusivity, mass, moisture, volume and solids on osmotically dehydrated yacon (Smallantus sonchifolius

Directory of Open Access Journals (Sweden)

Julio Rojas Naccha

2012-09-01

Full Text Available The predictive ability of Artificial Neural Network (ANN on the effect of the concentration (30, 40, 50 y 60 % w/w and temperature (30, 40 y 50°C of fructooligosaccharides solution, in the mass, moisture, volume and solids of osmodehydrated yacon cubes, and in the coefficients of the water means effective diffusivity with and without shrinkage was evaluated. The Feedforward type ANN with the Backpropagation training algorithms and the Levenberg-Marquardt weight adjustment was applied, using the following topology: 10-5 goal error, 0.01 learning rate, 0.5 moment coefficient, 2 input neurons, 6 output neurons, one hidden layer with 18 neurons, 15 training stages and logsig-pureline transfer functions. The overall average error achieved by the ANN was 3.44% and correlation coefficients were bigger than 0.9. No significant differences were found between the experimental values and the predicted values achieved by the ANN and with the predicted values achieved by a statistical model of second-order polynomial regression (p > 0.95.

Artificial Neural Network (ANN) design for Hg-Se interactions and their effect on reduction of Hg uptake by radish plant

International Nuclear Information System (INIS)

Kumar Rohit Raj; Abhishek Kardam; Shalini Srivastava; Jyoti Kumar Arora

2010-01-01

The tendency of selenium to interact with heavy metals in presence of naturally occurring species has been exploited for the development of green bioremediation of toxic metals from soil using Artificial Neural Network (ANN) modeling. The cross validation of the data for the reduction in uptake of Hg(II) ions in the plant R. sativus grown in soil and sand culture in presence of selenium has been used for ANN modeling. ANN model based on the combination of back propagation and principal component analysis was able to predict the reduction in Hg uptake with a sigmoid axon transfer function. The data of fifty laboratory experimental sets were used for structuring single layer ANN model. Series of experiments resulted into the performance evaluation based on considering 20% data for testing and 20% data for cross validation at 1,500 Epoch with 0.70 momentums The Levenberg-Marquardt algorithm (LMA) was found as the best of BP algorithms with a minimum mean squared error at the eighth place of the decimal for training (MSE) and cross validation. (author)

Independent peer review panel report on the integrated nonthermal treatment systems study and the comparison of integrated thermal and integrated nonthermal treatment systems for mixed low level waste

Energy Technology Data Exchange (ETDEWEB)

NONE

1996-08-01

The US Department of Energy`s (DOE) Office of Environmental Management (EM) Office of Science and Technology (OST) has conducted studies of integrated thermal treatment systems and integrated nonthermal treatment systems (INTS) for treating contact handled, alpha and non-alpha mixed low level radioactive waste (MLLW). The MLLW in the DOE complex consists of a wide variety of organic and inorganic solids and liquids contaminated with radioactive substances. Treatment systems are needed to destroy organic material and stabilize residues prior to land disposal. In May 1996 the Deputy Assistant Secretary for OST appointed an Independent Peer Review Panel to: (1) review and comment on the INTS Study; (2) make recommendations on the most promising thermal and nonthermal treatment systems; (3) make recommendations on research and development necessary to prove the performance of nonthermal and thermal technologies; and (4) review and comment on the preliminary draft of the ITTS/INTS Comparison Report. This report presents the primary conclusions and recommendations based on the review of the INTS study and the comparison report. System selection, overviews, comparisons, cost estimations and sensitivity analyses, and recommended R and D engineering needs are then described and discussed.

Independent peer review panel report on the integrated nonthermal treatment systems study and the comparison of integrated thermal and integrated nonthermal treatment systems for mixed low level waste

International Nuclear Information System (INIS)

1996-08-01

The US Department of Energy's (DOE) Office of Environmental Management (EM) Office of Science and Technology (OST) has conducted studies of integrated thermal treatment systems and integrated nonthermal treatment systems (INTS) for treating contact handled, alpha and non-alpha mixed low level radioactive waste (MLLW). The MLLW in the DOE complex consists of a wide variety of organic and inorganic solids and liquids contaminated with radioactive substances. Treatment systems are needed to destroy organic material and stabilize residues prior to land disposal. In May 1996 the Deputy Assistant Secretary for OST appointed an Independent Peer Review Panel to: (1) review and comment on the INTS Study; (2) make recommendations on the most promising thermal and nonthermal treatment systems; (3) make recommendations on research and development necessary to prove the performance of nonthermal and thermal technologies; and (4) review and comment on the preliminary draft of the ITTS/INTS Comparison Report. This report presents the primary conclusions and recommendations based on the review of the INTS study and the comparison report. System selection, overviews, comparisons, cost estimations and sensitivity analyses, and recommended R and D engineering needs are then described and discussed

Ann Modeling for Grey Particles Produced from Interactions of Different Projectiles with Emulsion Nuclei at 4.5 AGEV/C

International Nuclear Information System (INIS)

El-Bakry, M.N.Y.; Basha, A.M.; Rashed, N.; Mahmoud, M.A.; Radi, A.

2008-01-01

Artificial Neural Network (ANN) is one of the important tools in high energy physics. In this paper, we are using ANN for modeling the multiplicity distributions of grey particles produced from interactions of P, 3 He, 4 He, 6 Li, 12 C, 24 Mg, and 32 S with emulsion nuclei, light nuclei (CNO), and heavy nuclei (Ag Br). The equations of these distributions were obtained

Rimbaud’s influence on Jayne Anne Phillips: from Sweethearts to Shelter

Directory of Open Access Journals (Sweden)

Stéphanie Durrans

2012-06-01

Full Text Available Arthur Rimbaud emerges from Jayne Anne Phillips���s essays as a continual source of fascination. This paper explores the patterns of convergence that unite these two writers one century apart while aiming to provide a deeper and more meaningful appreciation of Phillips’ accomplishments in Shelter. It focuses on Rimbaud’s and Phillips’ conception of language and their emphasis on "visionary writing", before investigating the significance of such patterns on Shelter and exploring the stylistic affinities linking their respective works. In the end, linguistic deconstruction and regeneration appears as one of the ways in which both writers seek to express the hidden traumas of a society in the grips of violence.A en juger par les quelques essais de Jayne Anne Phillips dans lesquels il est mentionné, Arthur Rimbaud semble avoir exercé une véritable fascination sur la jeune nouvelliste et romancière américaine au moins jusque dans les années 1990. Cet article explore la filiation littéraire entre deux auteurs mus par un même souci de renouveler la langue par l’élaboration d’une « écriture visionnaire », à rebours des cadres normatifs et de toute pensée logique. A ce titre, le roman Shelter (1994 apparaît comme l’hommage le plus appuyé rendu par Phillips au poète français, notamment par le double processus de déconstruction et de régénération linguistique qui permet à son auteur d’exprimer les traumatismes individuels et collectifs d’une société hantée par la violence.

BP-ANN for fitting the temperature-germination model and its application in predicting sowing time and region for Bermudagrass.

Directory of Open Access Journals (Sweden)

Erxu Pi

Full Text Available Temperature is one of the most significant environmental factors that affects germination of grass seeds. Reliable prediction of the optimal temperature for seed germination is crucial for determining the suitable regions and favorable sowing timing for turf grass cultivation. In this study, a back-propagation-artificial-neural-network-aided dual quintic equation (BP-ANN-QE model was developed to improve the prediction of the optimal temperature for seed germination. This BP-ANN-QE model was used to determine optimal sowing times and suitable regions for three Cynodon dactylon cultivars (C. dactylon, 'Savannah' and 'Princess VII'. Prediction of the optimal temperature for these seeds was based on comprehensive germination tests using 36 day/night (high/low temperature regimes (both ranging from 5/5 to 40/40°C with 5°C increments. Seed germination data from these temperature regimes were used to construct temperature-germination correlation models for estimating germination percentage with confidence intervals. Our tests revealed that the optimal high/low temperature regimes required for all the three bermudagrass cultivars are 30/5, 30/10, 35/5, 35/10, 35/15, 35/20, 40/15 and 40/20°C; constant temperatures ranging from 5 to 40°C inhibited the germination of all three cultivars. While comparing different simulating methods, including DQEM, Bisquare ANN-QE, and BP-ANN-QE in establishing temperature based germination percentage rules, we found that the R(2 values of germination prediction function could be significantly improved from about 0.6940-0.8177 (DQEM approach to 0.9439-0.9813 (BP-ANN-QE. These results indicated that our BP-ANN-QE model has better performance than the rests of the compared models. Furthermore, data of the national temperature grids generated from monthly-average temperature for 25 years were fit into these functions and we were able to map the germination percentage of these C. dactylon cultivars in the national scale

Géohistoire de la Nouvelle-Zélande: unité territoriale et intégration à l’espace-monde

Directory of Open Access Journals (Sweden)

François Cognard

2012-03-01

Full Text Available Tout au long de son histoire, la société néo-zélandaise s'est efforcée de nouer des liens avec le monde extérieur tout en maintenant l'intégrité de son territoire multi-insulaire. Selon une perspective privilégiant le temps long, cet article décrit les spécificités physiques et humaines de l'archipel du Pacifique sud ainsi que son processus d'intégration à l'économie monde. Une approche qui, à l'aide de la modélisation graphique, souligne l'originalité des dynamiques spatiales du territoire national caractérisées par l'opposition entre ses deux principales îles.

Damage level prediction of non-reshaped berm breakwater using ANN, SVM and ANFIS models

Digital Repository Service at National Institute of Oceanography (India)

Mandal, S.; SubbaRao; Harish, N.; Lokesha

Marine Structures Laboratory, Department of Applied Mechanics and Hydraulics, NITK, Surathkal, India. Soft computing techniques like Artificial Neural Network (ANN), Support Vector Machine (SVM) and Adaptive Neuro Fuzzy Inference system (ANFIS) models...

Prediction of Frequency for Simulation of Asphalt Mix Fatigue Tests Using MARS and ANN

Directory of Open Access Journals (Sweden)

Ali Reza Ghanizadeh

2014-01-01

Full Text Available Fatigue life of asphalt mixes in laboratory tests is commonly determined by applying a sinusoidal or haversine waveform with specific frequency. The pavement structure and loading conditions affect the shape and the frequency of tensile response pulses at the bottom of asphalt layer. This paper introduces two methods for predicting the loading frequency in laboratory asphalt fatigue tests for better simulation of field conditions. Five thousand (5000 four-layered pavement sections were analyzed and stress and strain response pulses in both longitudinal and transverse directions was determined. After fitting the haversine function to the response pulses by the concept of equal-energy pulse, the effective length of the response pulses were determined. Two methods including Multivariate Adaptive Regression Splines (MARS and Artificial Neural Network (ANN methods were then employed to predict the effective length (i.e., frequency of tensile stress and strain pulses in longitudinal and transverse directions based on haversine waveform. It is indicated that, under controlled stress and strain modes, both methods (MARS and ANN are capable of predicting the frequency of loading in HMA fatigue tests with very good accuracy. The accuracy of ANN method is, however, more than MARS method. It is furthermore shown that the results of the present study can be generalized to sinusoidal waveform by a simple equation.

Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES

International Nuclear Information System (INIS)

Muyeen, S.M.; Hasanien, Hany M.; Al-Durra, Ahmed

2014-01-01

Highlights: • We present an ANN-controlled SMES in this paper. • The objective is to enhance transient stability of WF connected to power system. • The control strategy depends on a PWM VSC and DC–DC converter. • The effectiveness of proposed controller is compared with PI controller. • The validity of the proposed system is verified by simulation results. - Abstract: This paper presents a novel adaptive artificial neural network (ANN)-controlled superconducting magnetic energy storage (SMES) system to enhance the transient stability of wind farms connected to a multi-machine power system during network disturbances. The control strategy of SMES depends mainly on a sinusoidal pulse width modulation (PWM) voltage source converter (VSC) and an adaptive ANN-controlled DC–DC converter using insulated gate bipolar transistors (IGBTs). The effectiveness of the proposed adaptive ANN-controlled SMES is then compared with that of proportional-integral (PI)-controlled SMES optimized by response surface methodology and genetic algorithm (RSM–GA) considering both of symmetrical and unsymmetrical faults. For realistic responses, real wind speed data and two-mass drive train model of wind turbine generator system is considered in the analyses. The validity of the proposed system is verified by the simulation results which are performed using the laboratory standard dynamic power system simulator PSCAD/EMTDC. Notably, the proposed adaptive ANN-controlled SMES enhances the transient stability of wind farms connected to a multi-machine power system

Ann O'Mara, PhD, RN, MPH | Division of Cancer Prevention

Science.gov (United States)

Dr. Ann O'Mara is Head of Palliative Research in the NCI Division of Cancer Prevention. She manages a portfolio of symptom management and palliative and end-of-life care research projects. The majority of these projects focus on the more common morbidities associated with cancer and its treatment, e.g., pain, chemotherapy induced neuropathy, fatigue, sleep disturbances, and

Rapport de frais de 2017-2018 pour Mary Anne Chambers | CRDI ...

International Development Research Centre (IDRC) Digital Library (Canada)

Rapport de frais de 2017-2018 pour Mary Anne Chambers. Total des frais de déplacement : CAD$17,362.55. Réunion du Conseil des gouverneurs. 19 novembre 2017 au 24 novembre 2017. CAD$2,185.41. Réunions au CRDI 1 novembre 2017 CAD$714.15. Constatation de l'impact de la recherche en Afrique de l'Est.

Anne Applebaum: Kas NATO lõpp on lähedal? / Indrek Veiserik

Index Scriptorium Estoniae

Veiserik, Indrek

2009-01-01

USA ajakirjaniku Anne Applebaumi kriitikast NATO kui organisatsiooni toimimise ja Afganistani missiooni suhtes. Kesknädala arvates võiks president Toomas Hendrik Ilves, kes on annetanud A. Applebaumile Maarjamaa Risti III klassi teenetemärgi, kuulata tema välispoliitilisi seisukohti. Viidatakse ka Kanada kindrali Rick Hillieri kriitikale NATO kohta

Inverse problems using ANN in long range atmospheric dispersion with signature analysis picked scattered numerical sensors from CFD

International Nuclear Information System (INIS)

Sharma, Pavan K.; Gera, B.; Ghosh, A.K.; Kushwaha, H.S.

2010-01-01

Scalar dispersion in the atmosphere is an important area wherein different approaches are followed in development of good analytical model. The analyses based on Computational Fluid Dynamics (CFD) codes offer an opportunity of model development based on first principles of physics and hence such models have an edge over the existing models. Both forward and backward calculation methods are being developed for atmospheric dispersion around NPPs at BARC Forward modeling methods, which describe the atmospheric transport from sources to receptors, use forward-running transport and dispersion models or computational fluid dynamics models which are run many times, and the resulting dispersion field is compared to observations from multiple sensors. Backward or inverse modeling methods use only one model run in the reverse direction from the receptors to estimate the upwind sources. Inverse modeling methods include adjoint and tangent linear models, Kalman filters, and variational data assimilation, and neural network. The present paper is aimed at developing a new approach where the identified specific signatures at receptor points form the basis for source estimation or inversions. This approach is expected to reduce the large transient data sets to reduced and meaningful data sets. In fact this reduces the inherently transient data set into a time independent mean data set. Forward computation were carried out with CFD code for various case to generate a large set of data to train the ANN. Specific signature analysis was carried out to find the parameters of interest for ANN training like peak concentration, time to reach peak concentration and time to fall, the ANN was trained with data and source strength and location were predicted from ANN. Inverse problem was performed using ANN approach in long range atmospheric dispersion. An illustration of application of CFD code for atmospheric dispersion studies for a hypothetical case is also included in the paper. (author)

Optimization of thermal conductivity lightweight brick type AAC (Autoclaved Aerated Concrete) effect of Si & Ca composition by using Artificial Neural Network (ANN)

Science.gov (United States)

Zulkifli; Wiryawan, G. P.

2018-03-01

Lightweight brick is the most important component of building construction, therefore it is necessary to have lightweight thermal, mechanical and aqustic thermal properties that meet the standard, in this paper which is discussed is the domain of light brick thermal conductivity properties. The advantage of lightweight brick has a low density (500-650 kg/m3), more economical, can reduce the load 30-40% compared to conventional brick (clay brick). In this research, Artificial Neural Network (ANN) is used to predict the thermal conductivity of lightweight brick type Autoclaved Aerated Concrete (AAC). Based on the training and evaluation that have been done on 10 model of ANN with number of hidden node 1 to 10, obtained that ANN with 3 hidden node have the best performance. It is known from the mean value of MSE (Mean Square Error) validation for three training times of 0.003269. This ANN was further used to predict the thermal conductivity of four light brick samples. The predicted results for each of the AAC1, AAC2, AAC3 and AAC4 light brick samples were 0.243 W/m.K, respectively; 0.29 W/m.K; 0.32 W/m.K; and 0.32 W/m.K. Furthermore, ANN is used to determine the effect of silicon composition (Si), Calcium (Ca), to light brick thermal conductivity. ANN simulation results show that the thermal conductivity increases with increasing Si composition. Si content is allowed maximum of 26.57%, while the Ca content in the range 20.32% - 30.35%.

Exploration of artificial neural network [ANN] to predict the electrochemical characteristics of lithium-ion cells

Energy Technology Data Exchange (ETDEWEB)

Parthiban, Thirumalai; Ravi, R.; Kalaiselvi, N. [Central Electrochemical Research Institute (CECRI), Karaikudi 630006 (India)

2007-12-31

CoO anode, as an alternate to the carbonaceous anodes of lithium-ion cells has been prepared and investigated for electrochemical charge-discharge characteristics for about 50 cycles. Artificial neural networks (ANNs), which are useful in estimating battery performance, has been deployed for the first time to forecast and to verify the charge-discharge behavior of lithium-ion cells containing CoO anode for a total of 50 cycles. In this novel approach, ANN that has one input layer with one neuron corresponding to one input variable, viz., cycles [charge-discharge cycles] and a hidden layer consisting of three neurons to produce their outputs to the output layer through a sigmoid function has been selected for the present investigation. The output layer consists of two neurons, representing the charge and discharge capacity, whose activation function is also the sigmoid transfer function. In this ever first attempt to exploit ANN as an effective theoretical tool to understand the charge-discharge characteristics of lithium-ion cells, an excellent agreement between the calculated and observed capacity values was found with CoO anodes with the best fit values corresponding to an error factor of <1%, which is the highlight of the present study. (author)

A Woman Voice in an Epic: Tracing Gendered Motifs in Anne Vabarna's Peko

Directory of Open Access Journals (Sweden)

Andreas Kalkun

2008-12-01

Full Text Available In the article the gendered motifs found in Anne Vabarna’s Seto epic Peko are analysed. Besides the narrative telling of the life of the male hero, the motives regarding eating, refusing to eat or offering food, and the aspect of the female body or its control deserve to be noticed. These scenes do not communicate the main plot, they are often related to minor characters of the epic and slow down the narrative, but at the same time they clearly carry artistic purpose and meaning. I consider these motifs, present in the liminal parts of the epic, to be the dominant symbols of the epic where the author’s feminine world is being exposed. Observing these motifs of Peko in the context of Seto religious worldview, the life of Anne Vabarna and the social position of Seto women, the symbols become eloquent and informative.

La presa di parola di Anne Hutchinson. Insubordinazione e conflitto nella giovane America puritana

Directory of Open Access Journals (Sweden)

Itala Vivan

2016-04-01

Full Text Available Anne Hutchinson lasciò l’Inghilterra nel 1634 per emigrare nel Massachusetts puritano, dove nel 1637 e 1638 fu processata, condannata, scomunicata ed espulsa come donna insubordinata, deviante e pericolosa. Il suo ruolo intellettuale e politico nell’alba incandescente della prima America viene qui analizzato e discusso ascoltando da presso il racconto che promana dalla voce della stessa Anne Hutchinson attraverso i verbali dei due processi, trascritti dai contemporanei con la fedeltà letterale che era tipica del puritanesimo americano. La drammatica controversia che ebbe al centro la presa di parola di questa donna segnò la prima grande crisi della neonata società coloniale – la cosiddetta crisi antinomiana -- e ne determinò gli sviluppi futuri, indirizzandoli verso un sistema di potere politico su basi teocratiche.

ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs.

Science.gov (United States)

Abbas, Adel Taha; Pimenov, Danil Yurievich; Erdakov, Ivan Nikolaevich; Taha, Mohamed Adel; Soliman, Mahmoud Sayed; El Rayes, Magdy Mostafa

2018-05-16

Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinability at high cutting speeds. A novel Edgeworth⁻Pareto optimization of an artificial neural network (ANN) is presented in this paper for surface roughness ( Ra ) prediction of one component in computer numerical control (CNC) turning over minimal machining time ( T m ) and at prime machining costs ( C ). An ANN is built in the Matlab programming environment, based on a 4-12-3 multi-layer perceptron (MLP), to predict Ra , T m , and C , in relation to cutting speed, v c , depth of cut, a p , and feed per revolution, f r . For the first time, a profile of an AZ61 alloy workpiece after finish turning is constructed using an ANN for the range of experimental values v c , a p , and f r . The global minimum length of a three-dimensional estimation vector was defined with the following coordinates: Ra = 0.087 μm, T m = 0.358 min/cm³, C = $8.2973. Likewise, the corresponding finish-turning parameters were also estimated: cutting speed v c = 250 m/min, cutting depth a p = 1.0 mm, and feed per revolution f r = 0.08 mm/rev. The ANN model achieved a reliable prediction accuracy of ±1.35% for surface roughness.

DeAnnIso: a tool for online detection and annotation of isomiRs from small RNA sequencing data.

Science.gov (United States)

Zhang, Yuanwei; Zang, Qiguang; Zhang, Huan; Ban, Rongjun; Yang, Yifan; Iqbal, Furhan; Li, Ao; Shi, Qinghua

2016-07-08

Small RNA (sRNA) Sequencing technology has revealed that microRNAs (miRNAs) are capable of exhibiting frequent variations from their canonical sequences, generating multiple variants: the isoforms of miRNAs (isomiRs). However, integrated tool to precisely detect and systematically annotate isomiRs from sRNA sequencing data is still in great demand. Here, we present an online tool, DeAnnIso (Detection and Annotation of IsomiRs from sRNA sequencing data). DeAnnIso can detect all the isomiRs in an uploaded sample, and can extract the differentially expressing isomiRs from paired or multiple samples. Once the isomiRs detection is accomplished, detailed annotation information, including isomiRs expression, isomiRs classification, SNPs in miRNAs and tissue specific isomiR expression are provided to users. Furthermore, DeAnnIso provides a comprehensive module of target analysis and enrichment analysis for the selected isomiRs. Taken together, DeAnnIso is convenient for users to screen for isomiRs of their interest and useful for further functional studies. The server is implemented in PHP + Perl + R and available to all users for free at: http://mcg.ustc.edu.cn/bsc/deanniso/ and http://mcg2.ustc.edu.cn/bsc/deanniso/. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Automates programmables et réseaux de terrain: conception des systèmes de régulation

OpenAIRE

Blanc, D

1998-01-01

Depuis le début des années 80, nous intégrons des automates programmables pour le contrôle des différents processus industriels. A l'origine, l'automate programmable était considéré comme une machine séquentielle, capable de suppléer des automatismes réalisés en logique traditionnelle, en apportant toutefois de profonds bouleversements dans la manière de concevoir et d'organiser le contrôle d'un processus. L'intégration de l'automate programmable renforce le degré de fiabilité de l'équipement...

Insularité et démographie dans la mer Intérieure japonaise

Directory of Open Access Journals (Sweden)

Philippe PELLETIER

1992-12-01

Full Text Available Les îles éloignées (ritô tiennent une place importante dans l’espace japonais. Les îles de la mer Intérieure se dépeuplèrent fortement pendant la Haute Croissance. Un graphique corrélant leur évolution démographique et leur distance par rapport à Honshû et Shikoku nous aide à comprendre que l’éloignement insulaire joua un rôle relatif.

ANN-based calibration model of FTIR used in transformer online monitoring

Science.gov (United States)

Li, Honglei; Liu, Xian-yong; Zhou, Fangjie; Tan, Kexiong

2005-02-01

Recently, chromatography column and gas sensor have been used in online monitoring device of dissolved gases in transformer oil. But some disadvantages still exist in these devices: consumption of carrier gas, requirement of calibration, etc. Since FTIR has high accuracy, consume no carrier gas and require no calibration, the researcher studied the application of FTIR in such monitoring device. Experiments of "Flow gas method" were designed, and spectrum of mixture composed of different gases was collected with A BOMEM MB104 FTIR Spectrometer. A key question in the application of FTIR is that: the absorbance spectrum of 3 fault key gases, including C2H4, CH4 and C2H6, are overlapped seriously at 2700~3400cm-1. Because Absorbance Law is no longer appropriate, a nonlinear calibration model based on BP ANN was setup to in the quantitative analysis. The height absorbance of C2H4, CH4 and C2H6 were adopted as quantitative feature, and all the data were normalized before training the ANN. Computing results show that the calibration model can effectively eliminate the cross disturbance to measurement.

ANN-GA based optimization of a high ash coal-fired supercritical power plant

International Nuclear Information System (INIS)

Suresh, M.V.J.J.; Reddy, K.S.; Kolar, Ajit Kumar

2011-01-01

Highlights: → Neuro-genetic power plant optimization is found to be an efficient methodology. → Advantage of neuro-genetic algorithm is the possibility of on-line optimization. → Exergy loss in combustor indicates the effect of coal composition on efficiency. -- Abstract: The efficiency of coal-fired power plant depends on various operating parameters such as main steam/reheat steam pressures and temperatures, turbine extraction pressures, and excess air ratio for a given fuel. However, simultaneous optimization of all these operating parameters to achieve the maximum plant efficiency is a challenging task. This study deals with the coupled ANN and GA based (neuro-genetic) optimization of a high ash coal-fired supercritical power plant in Indian climatic condition to determine the maximum possible plant efficiency. The power plant simulation data obtained from a flow-sheet program, 'Cycle-Tempo' is used to train the artificial neural network (ANN) to predict the energy input through fuel (coal). The optimum set of various operating parameters that result in the minimum energy input to the power plant is then determined by coupling the trained ANN model as a fitness function with the genetic algorithm (GA). A unit size of 800 MWe currently under development in India is considered to carry out the thermodynamic analysis based on energy and exergy. Apart from optimizing the design parameters, the developed model can also be used for on-line optimization when quick response is required. Furthermore, the effect of various coals on the thermodynamic performance of the optimized power plant is also determined.

Anmeldelse: Anne Gjelsvik & Rikke Schubart : Women of ice and fire: Gender, Game of Thrones, and multiple media engagements, New York/London: Bloomsbury, 2016

DEFF Research Database (Denmark)

Konzack, Lars

2017-01-01

Anmeldelse af bogen Women of Ice and F ire: Gender, Game of Thrones redigeret af Anne Gjelsvik & Rikke Schubart.......Anmeldelse af bogen Women of Ice and F ire: Gender, Game of Thrones redigeret af Anne Gjelsvik & Rikke Schubart....

Implementation of ANN on CCHP system to predict trigeneration performance with consideration of various operative factors

International Nuclear Information System (INIS)

Anvari, Simin; Taghavifar, Hadi; Saray, Rahim Khoshbakhti; Khalilarya, Shahram; Jafarmadar, Samad

2015-01-01

Highlights: • ANN modeling tool was implemented on the CCHP system. • The best ANN topology was detected 10–8–9 with Levenberg–Marquadt algorithm. • The system is more sensitive of CC outlet temperature and turbine isentropic efficiency. • The lowest RMSE = 3.13e−5 and the best R 2 = 0.999 is related to lambda and second law efficiency terms, respectively. - Abstract: A detailed investigation was aimed based on numerical thermodynamic survey and artificial neural network (ANN) modeling of the trigeneration system. The results are presented in two pivotal frameworks namely the sensitivity analysis and ANN prediction capability of proposed modeling. The underlying operative parameters were chosen as input parameters from different cycles and components, while the exergy efficiency, exergy loss, coefficient of performance, heating load exergy, lambda, gas turbine power, exergy destruction, actual outlet air compressor temperature, and heat recovery gas steam generator (HRSG) outlet temperature were taken as objective output parameters for the modeling purpose. Up to now, no significant step was taken to investigate the compound power plant with thermodynamic analyses and network predictability hybrid in such a detailed oriented approach. It follows that multilayer perceptron neural network with back propagation algorithm deployed with 10–8–9 configuration results in the modeling reliability ranged within R 2 = 0.995–0.999. When dataset treated with trainlm learning algorithm and diversified neurons, the mean square error (MSE) is obtained equal to 0.2175. This denotes a powerful modeling achievement in both scientific and industrial scale to save considerable computational cost on combined cooling, heating, and power system in accomplishment of boosting the energy efficiency and system maintenance

Application of Artificial Neural Networks (ANNs for Weight Predictions of Blue Crabs (Callinectes sapidus RATHBUN, 1896 Using Predictor Variables

Directory of Open Access Journals (Sweden)

C. TURELI BILEN

2011-10-01

Full Text Available An evaluation of the performance of artificial networks (ANNs to estimate the weights of blue crab (Callinectes sapidus catches in Yumurtalık Cove (Iskenderun Bay that uses measured predictor variables is presented, including carapace width (CW, sex (male, female and female with eggs, and sampling month. Blue crabs (n=410 were collected each month between 15 September 1996 and 15 May 1998. Sex, CW, and sampling month were used and specified in the input layer of the network. The weights of the blue crabs were utilized in the output layer of the network. A multi-layer perception architecture model was used and was calibrated with the Levenberg Marguardt (LM algorithm. Finally, the values were determined by the ANN model using the actual data. The mean square error (MSE was measured as 3.3, and the best results had a correlation coefficient (R of 0.93. We compared the predictive capacity of the general linear model (GLM versus the Artificial Neural Network model (ANN for the estimation of the weights of blue crabs from independent field data. The results indicated the higher performance capacity of the ANN to predict weights compared to the GLM (R=0.97 vs. R=0.95, raw variable when evaluated against independent field data.

Development of LC-MS determination method and back-propagation ANN pharmacokinetic model of corynoxeine in rat.

Science.gov (United States)

Ma, Jianshe; Cai, Jinzhang; Lin, Guanyang; Chen, Huilin; Wang, Xianqin; Wang, Xianchuan; Hu, Lufeng

2014-05-15

Corynoxeine(CX), isolated from the extract of Uncaria rhynchophylla, is a useful and prospective compound in the prevention and treatment for vascular diseases. A simple and selective liquid chromatography mass spectrometry (LC-MS) method was developed to determine the concentration of CX in rat plasma. The chromatographic separation was achieved on a Zorbax SB-C18 (2.1 mm × 150 mm, 5 μm) column with acetonitrile-0.1% formic acid in water as mobile phase. Selective ion monitoring (SIM) mode was used for quantification using target ions m/z 383 for CX and m/z 237 for the carbamazepine (IS). After the LC-MS method was validated, it was applied to a back-propagation artificial neural network (BP-ANN) pharmacokinetic model study of CX in rats. The results showed that after intravenous administration of CX, it was mainly distributed in blood and eliminated quickly, t1/2 was less than 1h. The predicted concentrations generated by BP-ANN model had a high correlation coefficient (R>0.99) with experimental values. The developed BP-ANN pharmacokinetic model can be used to predict the concentration of CX in rats. Copyright © 2014 Elsevier B.V. All rights reserved.

Mise au point de la protection intégrée du colza : exemple du phoma (Leptosphaeria maculans

Directory of Open Access Journals (Sweden)

Aubertot Jean-Noël

2003-05-01

Full Text Available En France, le phoma est considéré comme la maladie la plus préoccupante du colza. Il n’existe aucune méthode de lutte à la fois efficace, rentable et respectueuse de l’environnement. Il apparaît donc nécessaire de développer la lutte intégrée de la culture contre cette maladie. Cette communication présente les résultats d’un programme de recherche visant à analyser et à modéliser les effets des systèmes de culture sur le développement de la maladie. Des pistes concrètes pour la mise en oeuvre de la lutte intégrée contre le phoma sont proposées.

Simulation of CO2 Solubility in Polystyrene-b-Polybutadieneb-Polystyrene (SEBS) by artificial intelligence network (ANN) method

Science.gov (United States)

Sharudin, R. W.; AbdulBari Ali, S.; Zulkarnain, M.; Shukri, M. A.

2018-05-01

This study reports on the integration of Artificial Neural Network (ANNs) with experimental data in predicting the solubility of carbon dioxide (CO2) blowing agent in SEBS by generating highest possible value for Regression coefficient (R2). Basically, foaming of thermoplastic elastomer with CO2 is highly affected by the CO2 solubility. The ability of ANN in predicting interpolated data of CO2 solubility was investigated by comparing training results via different method of network training. Regards to the final prediction result for CO2 solubility by ANN, the prediction trend (output generate) was corroborated with the experimental results. The obtained result of different method of training showed the trend of output generated by Gradient Descent with Momentum & Adaptive LR (traingdx) required longer training time and required more accurate input to produce better output with final Regression Value of 0.88. However, it goes vice versa with Levenberg-Marquardt (trainlm) technique as it produced better output in quick detention time with final Regression Value of 0.91.

Facteurs prédictifs de succès des étudiants en première année de ...

African Journals Online (AJOL)

Introduction: Plusieurs facteurs dont les notes obtenues au BAC peuvent influencer les performances académiques des étudiants en première année de médecine. L'objectif de cette étude était d'évaluer la relation entre les résultats des étudiants au BAC et le succès en première année de médecine. Méthodes: Nous ...

[The embroidery work of the lady at Saint-Anne Hospital].

Science.gov (United States)

Thillaud, Pierre L; Postel, Jacques

2014-01-01

In July 1974, a 72 old woman had been a patient for forty years in Sainte-Anne Hospital, Ward C. As she had again a violent brawl with her neighbour patient, she revealed being a tremendous artist. She had been confined on account of dementia paralytica in the Mecca of malariotherapy, and passionately devoted herself to embroidery. Her fancy work was rather a matter for Jean Dubuffet's art through its perfect expression and deserved being known.

angola

International Development Research Centre (IDRC) Digital Library (Canada)

Structure de l'industrie ......3. Projets miniers ... du Portugal et d'intérêts financiers internationaux dans le domaine .... Au cours des années 1990, Endiama a conclu des accords de coentreprise avec une ...... non plus d'étude scientifique récente en Angola portant sur les ..... Development, Development Cooperation Ireland,.

Interações entre o aluno com surdez, o professor e o intérprete em aulas de física: uma perspectiva Vygotskiana

Directory of Open Access Journals (Sweden)

Jaqueline Santos Vargas

2014-09-01

Full Text Available O estudo apresenta uma análise das interações entre o aluno com surdez, o professor e o intérprete em sala de aula, além do papel desses sujeitos no processo de inclusão do aluno surdo. Trata-se de uma pesquisa qualitativa realizada em 10 escolas públicas de Ensino Médio de Campo Grande-MS que receberam 24 alunos com surdez. Nessa análise utilizamos a abordagem histórico cultural de Vygotsky. Os resultados evidenciaram que apenas o intérprete interage efetivamente com esses alunos e pouco colabora para que eles interajam com pessoas que não dominam a Língua Brasileira de Sinais. Em sala de aula, o professor transfere ao intérprete a responsabilidade pelo ensino e a aprendizagem desses alunos.

"Boob teab" / Kalju Komissarov ja Rait Avestik ; kommenteerinud ja toimetanud Anneli Saro

Index Scriptorium Estoniae

Komissarov, Kalju, 1946-2017

2010-01-01

Teatriseminar sarjast "Eesti algupärandid Eesti teatris" toimus Tartu Kirjanduse Maja krüptis 28. märtsil 2005, seminari juhtis Anneli Saro. Urmas Lennuki näidendi kolmest lavastusest: Tallinna Linnateatris (esietendus 28. veebruaril 2004, lavastas Jaanus Rohumaa), Rakvere Teatris (esietendus 10. septembril 2004, lavastas Kalju Komissarov) ja Vikerraadios (esietendus 4. septembril 2004, lavastas Tamur Tohver)

78 FR 65382 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

Science.gov (United States)

2013-10-31

....S.C. 3003, of the completion of an inventory of human remains under the control of the University of....R50000] Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an inventory of human...

78 FR 65369 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

Science.gov (United States)

2013-10-31

....S.C. 3003, of the completion of an inventory of human remains under the control of the University of....R50000] Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an inventory of human...

78 FR 65366 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

Science.gov (United States)

2013-10-31

....S.C. 3003, of the completion of an inventory of human remains under the control of the University of....R50000] Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an inventory of human...

Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction

International Nuclear Information System (INIS)

Mousapour, Ashkan; Hajipour, Alireza; Rashidi, Mohammad Mehdi; Freidoonimehr, Navid

2016-01-01

In this paper, the first and second-laws efficiencies are applied to performance analysis of an irreversible Miller cycle. In the irreversible cycle, the linear relation between the specific heat of the working fluid and its temperature, the internal irreversibility described using the compression and expansion efficiencies, the friction loss computed according to the mean velocity of the piston and the heat-transfer loss are considered. The effects of various design parameters, such as the minimum and maximum temperatures of the working fluid and the compression ratio on the power output and the first and second-laws efficiencies of the cycle are discussed. In the following, a procedure named ANN is used for predicting the thermal efficiency values versus the compression ratio, and the minimum and maximum temperatures of the Miller cycle. Nowadays, Miller cycle is widely used in the automotive industry and the obtained results of this study will provide some significant theoretical grounds for the design optimization of the Miller cycle. - Highlights: • The performance of an irreversible Miller cycle is investigated using FFT. • The effects of design parameters on the performance of the cycle are investigated. • ANN is applied to predict the thermal efficiency and the power output values. • There is an excellent correlation between FTT and ANN data. • ANN can be applied to predict data where FTT analysis has not been performed.

IntCal13 and Marine13 Radiocarbon Age Calibration Curves 0–50,000 Years cal BP

NARCIS (Netherlands)

Reimer, Paula J.; Bard, Edouard; Bayliss, Alex; Beck, J. Warren; Blackwell, Paul G.; Bronk Ramsey, Christopher; Buck, Caitlin E.; Cheng, Hai; Edwards, R. Lawrence; Friedrich, Michael; Grootes, Pieter M.; Guilderson, Thomas P.; Haflidason, Haflidi; Hajdas, Irka; Hatté, Christine; Heaton, Timothy J.; Hoffmann, Dirk L.; Hogg, Alan G.; Hughen, Konrad A.; Kaiser, K. Felix; Kromer, Bernd; Manning, Sturt W.; Niu, Mu; Reimer, Ron W.; Richards, David A.; Scott, E. Marian; Southon, John R.; Staff, Richard A.; Turney, Christian S.M.; Plicht, Johannes van der; Reimer, Paula J.

2013-01-01

The IntCal09 and Marine09 radiocarbon calibration curves have been revised utilizing newly available and updated data sets from C-14 measurements on tree rings, plant macrofossils, speleothems, corals, and foraminifera. The calibration curves were derived from the data using the random walk model

Statistical optimization of the phytoremediation of arsenic by Ludwigia octovalvis- in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN).

Science.gov (United States)

Titah, Harmin Sulistiyaning; Halmi, Mohd Izuan Effendi Bin; Abdullah, Siti Rozaimah Sheikh; Hasan, Hassimi Abu; Idris, Mushrifah; Anuar, Nurina

2018-06-07

In this study, the removal of arsenic (As) by plant, Ludwigia octovalvis, in a pilot reed bed was optimized. A Box-Behnken design was employed including a comparative analysis of both Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) for the prediction of maximum arsenic removal. The predicted optimum condition using the desirability function of both models was 39 mg kg -1 for the arsenic concentration in soil, an elapsed time of 42 days (the sampling day) and an aeration rate of 0.22 L/min, with the predicted values of arsenic removal by RSM and ANN being 72.6% and 71.4%, respectively. The validation of the predicted optimum point showed an actual arsenic removal of 70.6%. This was achieved with the deviation between the validation value and the predicted values being within 3.49% (RSM) and 1.87% (ANN). The performance evaluation of the RSM and ANN models showed that ANN performs better than RSM with a higher R 2 (0.97) close to 1.0 and very small Average Absolute Deviation (AAD) (0.02) and Root Mean Square Error (RMSE) (0.004) values close to zero. Both models were appropriate for the optimization of arsenic removal with ANN demonstrating significantly higher predictive and fitting ability than RSM.

Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification

Directory of Open Access Journals (Sweden)

Vijay G. S.

2012-01-01

Full Text Available The wavelet based denoising has proven its ability to denoise the bearing vibration signals by improving the signal-to-noise ratio (SNR and reducing the root-mean-square error (RMSE. In this paper seven wavelet based denoising schemes have been evaluated based on the performance of the Artificial Neural Network (ANN and the Support Vector Machine (SVM, for the bearing condition classification. The work consists of two parts, the first part in which a synthetic signal simulating the defective bearing vibration signal with Gaussian noise was subjected to these denoising schemes. The best scheme based on the SNR and the RMSE was identified. In the second part, the vibration signals collected from a customized Rolling Element Bearing (REB test rig for four bearing conditions were subjected to these denoising schemes. Several time and frequency domain features were extracted from the denoised signals, out of which a few sensitive features were selected using the Fisher’s Criterion (FC. Extracted features were used to train and test the ANN and the SVM. The best denoising scheme identified, based on the classification performances of the ANN and the SVM, was found to be the same as the one obtained using the synthetic signal.

IDI diesel engine performance and exhaust emission analysis using biodiesel with an artificial neural network (ANN

Directory of Open Access Journals (Sweden)

K. Prasada Rao

2017-09-01

Full Text Available Biodiesel is receiving increasing attention each passing day because of its fuel properties and compatibility. This study investigates the performance and emission characteristics of single cylinder four stroke indirect diesel injection (IDI engine fueled with Rice Bran Methyl Ester (RBME with Isopropanol additive. The investigation is done through a combination of experimental data analysis and artificial neural network (ANN modeling. The study used IDI engine experimental data to evaluate nine engine performance and emission parameters including Exhaust Gas Temperature (E.G.T, Brake Specific Fuel Consumption (BSFC, Brake Thermal Efficiency (B.The and various emissions like Hydrocarbons (HC, Carbon monoxide (CO, Carbon dioxide (CO2, Oxygen (O2, Nitrogen oxides (NOX and smoke. For the ANN modeling standard back propagation algorithm was found to be the optimum choice for training the model. A multi-layer perception (MLP network was used for non-linear mapping between the input and output parameters. It was found that ANN was able to predict the engine performance and exhaust emissions with a correlation coefficient of 0.995, 0.980, 0.999, 0.985, 0.999, 0.999, 0.980, 0.999, and 0.999 for E.G.T, BSFC, B.The, HC, O2, CO2, CO, NOX, smoke respectively.

Current status of the ParInt package for parallel multivariate integration

International Nuclear Information System (INIS)

Doncker, E. de; Kaugars, K.; Cucos, L.; Zanny, R.

2002-01-01

The ParInt project focuses on the development of parallel algorithms and software for the computation of multi-variate integrals. We will give an overview of the contents and capabilities of the package. Our objective has been to provide the end-user with state of the art problem solving power. This has required work in a number of areas, including the fundamental numerical techniques, strategies for parallelization, user interfaces for general use and specific applications, and visualization of computations to analyze the mutual influences of problem characteristics and algorithm behavior. Furthermore, the integration of all the above into a versatile set of tools is aimed toward an efficient use of the available parallel or distributed computer resources. (author)

Strategic planning for minimizing CO2 emissions using LP model based on forecasted energy demand by PSO Algorithm and ANN

Energy Technology Data Exchange (ETDEWEB)

Yousefi, M.; Omid, M.; Rafiee, Sh. [Department of Agricultural Machinery Engineering, University of Tehran, Karaj (Iran, Islamic Republic of); Ghaderi, S. F. [Department of Industrial Engineering, University of Tehran, Tehran (Iran, Islamic Republic of)

2013-07-01

Iran's primary energy consumption (PEC) was modeled as a linear function of five socioeconomic and meteorological explanatory variables using particle swarm optimization (PSO) and artificial neural networks (ANNs) techniques. Results revealed that ANN outperforms PSO model to predict test data. However, PSO technique is simple and provided us with a closed form expression to forecast PEC. Energy demand was forecasted by PSO and ANN using represented scenario. Finally, adapting about 10% renewable energy revealed that based on the developed linear programming (LP) model under minimum CO2 emissions, Iran will emit about 2520 million metric tons CO2 in 2025. The LP model indicated that maximum possible development of hydropower, geothermal and wind energy resources will satisfy the aim of minimization of CO2 emissions. Therefore, the main strategic policy in order to reduce CO2 emissions would be exploitation of these resources.

Dynamically stable associative learning: a neurobiologically based ANN and its applications

Science.gov (United States)

Vogl, Thomas P.; Blackwell, Kim L.; Barbour, Garth; Alkon, Daniel L.

1992-07-01

Most currently popular artificial neural networks (ANN) are based on conceptions of neuronal properties that date back to the 1940s and 50s, i.e., to the ideas of McCullough, Pitts, and Hebb. Dystal is an ANN based on current knowledge of neurobiology at the cellular and subcellular level. Networks based on these neurobiological insights exhibit the following advantageous properties: (1) A theoretical storage capacity of bN non-orthogonal memories, where N is the number of output neurons sharing common inputs and b is the number of distinguishable (gray shade) levels. (2) The ability to learn, store, and recall associations among noisy, arbitrary patterns. (3) A local synaptic learning rule (learning depends neither on the output of the post-synaptic neuron nor on a global error term), some of whose consequences are: (4) Feed-forward, lateral, and feed-back connections (as well as time-sensitive connections) are possible without alteration of the learning algorithm; (5) Storage allocation (patch creation) proceeds dynamically as associations are learned (self- organizing); (6) The number of training set presentations required for learning is small (different expressions and/or corrupted by noise, and on reading hand-written digits (98% accuracy) and hand-printed Japanese Kanji (90% accuracy) is demonstrated.

Friendly Letters on the Correspondence of Helen Keller, Anne Sullivan, and Alexander Graham Bell.

Science.gov (United States)

Blatt, Burton

1985-01-01

Excerpts from the letters between Alexander Graham Bell and Anne Sullivan and Helen Keller are given to illustrate the educational and personal growth of Helen Keller as well as the educational philosophy of Bell regarding the education of the deaf blind. (DB)

Prophecy, patriarchy, and violence in the early modern household: the revelations of Anne Wentworth.

Science.gov (United States)

Johnston, Warren

2009-10-01

In 1676 the apostate Baptist prophet Anne Wentworth (1629/30-1693?) published "A True Account of Anne Wentworths Being Cruelly, Unjustly, and Unchristianly Dealt with by Some of Those People called Anabaptists," the first in a series of pamphlets that would continue to the end of the decade. Orignially a member of a London Baptist church, Wentworth left the congregation and eventually her own home after her husband used physical force to stop her writing and prophesying. Yet Wentworth persisted in her "revelations." These prophecies increasingly focused on her response to those who were trying to stop her efforts, especially within her own household. This article examines Wentworth's writings as an effort by an early modern woman, using arguments of spiritual agency, to assert ideas about proper gender roles and household responsibilities to denounce her husband and rebut those who criticized and attempted to suppress her.

Rapid Identification of Asteraceae Plants with Improved RBF-ANN Classification Models Based on MOS Sensor E-Nose

Directory of Open Access Journals (Sweden)

Hui-Qin Zou

2014-01-01

Full Text Available Plants from Asteraceae family are widely used as herbal medicines and food ingredients, especially in Asian area. Therefore, authentication and quality control of these different Asteraceae plants are important for ensuring consumers’ safety and efficacy. In recent decades, electronic nose (E-nose has been studied as an alternative approach. In this paper, we aim to develop a novel discriminative model by improving radial basis function artificial neural network (RBF-ANN classification model. Feature selection algorithms, including principal component analysis (PCA and BestFirst + CfsSubsetEval (BC, were applied in the improvement of RBF-ANN models. Results illustrate that in the improved RBF-ANN models with lower dimension data classification accuracies (100% remained the same as in the original model with higher-dimension data. It is the first time to introduce feature selection methods to get valuable information on how to attribute more relevant MOS sensors; namely, in this case, S1, S3, S4, S6, and S7 show better capability to distinguish these Asteraceae plants. This paper also gives insights to further research in this area, for instance, sensor array optimization and performance improvement of classification model.

Comparison of the accuracy of SST estimates by artificial neural networks (ANN) and other quantitative methods using radiolarian data from the Antarctic and Pacific Oceans

Digital Repository Service at National Institute of Oceanography (India)

Gupta, S.M.; Malmgren, B.A.

) regression, the maximum likelihood (ML) method, and artificial neural networks (ANNs), based on radiolarian faunal abundance data from surface sediments from the Antarctic and Pacific Oceans. Recent studies have suggested that ANNs may represent one...

Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : AATA Web Survey

Science.gov (United States)

1999-01-01

During 1997, visitors to the Ann Arbor (Michigan) Transportation Authority's worldwide web site were invited to complete an electronic questionnaire about their experience with the site. Eighty surveys were collected, representing a non-scientific se...

Tallinna Ülikool / Leif Kalev, Anneli Leinpere, Tiit Land, Alessandro Centonze, Hannes Palang, Liis Kelberg

Index Scriptorium Estoniae

2008-01-01

Ülikooli ja seal õpetatavaid erialasid tutvustavad dotsent Leif Kalev, kunstimagistrant Anneli Leinpere, professor Tiit Land, välisüliõpilane Milanost Alessandro Centonze, vanemteadur Hannes Palang ning kirjaliku tõlke magistrant Liis Kelberg

L'initiative Samdrup Jongkhar, un modèle de développement intégré ...

International Development Research Centre (IDRC) Digital Library (Canada)

La Samdrup Jongkhar Initiative est un projet que la société civile a lancé dans le district du même nom, dans le but de favoriser un développement écologiquement responsable, en harmonie avec la philosophie holistique du Bhoutan qui vise à intégrer idéaux sociaux, économiques, culturels et environnementaux.

A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain

Directory of Open Access Journals (Sweden)

Patricia Jimeno-Sáez

2018-02-01

Full Text Available Streamflow data are of prime importance to water-resources planning and management, and the accuracy of their estimation is very important for decision making. The Soil and Water Assessment Tool (SWAT and Artificial Neural Network (ANN models have been evaluated and compared to find a method to improve streamflow estimation. For a more complete evaluation, the accuracy and ability of these streamflow estimation models was also established separately based on their performance during different periods of flows using regional flow duration curves (FDCs. Specifically, the FDCs were divided into five sectors: very low, low, medium, high and very high flow. This segmentation of flow allows analysis of the model performance for every important discharge event precisely. In this study, the models were applied in two catchments in Peninsular Spain with contrasting climatic conditions: Atlantic and Mediterranean climates. The results indicate that SWAT and ANNs were generally good tools in daily streamflow modelling. However, SWAT was found to be more successful in relation to better simulation of lower flows, while ANNs were superior at estimating higher flows in all cases.

The Int7G24A variant of transforming growth factor-beta receptor type I is a risk factor for colorectal cancer in the male Spanish population: a case-control study

International Nuclear Information System (INIS)

Castillejo, Adela; Guillén-Ponce, Carmen; Carrato, Alfredo; Soto, José-Luís; Mata-Balaguer, Trinidad; Guarinos, Carla; Castillejo, María-Isabel; Martínez-Cantó, Ana; Barberá, Víctor-Manuel; Montenegro, Paola; Ochoa, Enrique; Lázaro, Rafael

2009-01-01

The Int7G24A variant of transforming growth factor-beta receptor type I (TGFBR1) has been shown to increase the risk for kidney, ovarian, bladder, lung and breast cancers. Its role in colorectal cancer (CRC) has not been established. The aims of this study were to assess the association of TGFBR1*Int7G24A variant with CRC occurrence, patient age, gender, tumour location and stage. We performed a case-control study with 504 cases of sporadic CRC; and 504 non-cancerous age, gender and ethnically matched controls. Genotyping analysis was performed using allelic discrimination assay by real time PCR. The Int7G24A variant was associated with increased CRC incidence in an additive model of inheritance (P for trend = 0.005). No significant differences were found between Int7G24A genotypes and tumour location or stage. Interestingly, the association of the Int7G24A variant with CRC risk was significant in men (odds ratio 4.10 with 95% confidence intervals 1.41-11.85 for homozygous individuals; P for trend = 0.00023), but not in women. We also observed an increase in susceptibility to CRC for individuals aged less than 70 years. Our data suggest that the Int7G24A variant represents a risk factor for CRC in the male Spanish population

Estimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GA

Directory of Open Access Journals (Sweden)

P. Sreeraj

2013-01-01

Full Text Available To improve the corrosion resistant properties of carbon steel, usually cladding process is used. It is a process of depositing a thick layer of corrosion resistant material over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance. By cladding these properties can be achieved with minimum cost. The main problem faced on cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, and contact tip to work distance and pinch to get optimum dilution in stainless steel cladding of low carbon structural steel plates using gas metal arc welding (GMAW. Experiments were conducted based on central composite rotatable design with full replication technique, and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. In this study, artificial neural network (ANN and genetic algorithm (GA techniques were integrated and labeled as integrated ANN-GA to estimate optimal process parameters in GMAW to get optimum dilution.

Strategic planning for minimizing CO2 emissions using LP model based on forecasted energy demand by PSO Algorithm and ANN

Energy Technology Data Exchange (ETDEWEB)

Yousefi, M.; Omid, M.; Rafiee, Sh. [Department of Agricultural Machinery Engineering, University of Tehran, Karaj (Iran, Islamic Republic of); Ghaderi, S.F. [Department of Industrial Engineering, University of Tehran, Tehran (Iran, Islamic Republic of)

2013-07-01

Iran's primary energy consumption (PEC) was modeled as a linear function of five socioeconomic and meteorological explanatory variables using particle swarm optimization (PSO) and artificial neural networks (ANNs) techniques. Results revealed that ANN outperforms PSO model to predict test data. However, PSO technique is simple and provided us with a closed form expression to forecast PEC. Energy demand was forecasted by PSO and ANN using represented scenario. Finally, adapting about 10% renewable energy revealed that based on the developed linear programming (LP) model under minimum CO2 emissions, Iran will emit about 2520 million metric tons CO2 in 2025. The LP model indicated that maximum possible development of hydropower, geothermal and wind energy resources will satisfy the aim of minimization of CO2 emissions. Therefore, the main strategic policy in order to reduce CO2 emissions would be exploitation of these resources.

Using AnnAGNPS to Predict the Effects of Tile Drainage Control on Nutrient and Sediment Loads for a River Basin.

Science.gov (United States)

Que, Z; Seidou, O; Droste, R L; Wilkes, G; Sunohara, M; Topp, E; Lapen, D R

2015-03-01

Controlled tile drainage (CTD) can reduce pollutant loading. The Annualized Agricultural Nonpoint Source model (AnnAGNPS version 5.2) was used to examine changes in growing season discharge, sediment, nitrogen, and phosphorus loads due to CTD for a ∼3900-km agriculturally dominated river basin in Ontario, Canada. Two tile drain depth scenarios were examined in detail to mimic tile drainage control for flat cropland: 600 mm depth (CTD) and 200 mm (CTD) depth below surface. Summed for five growing seasons (CTD), direct runoff, total N, and dissolved N were reduced by 6.6, 3.5, and 13.7%, respectively. However, five seasons of summed total P, dissolved P, and total suspended solid loads increased as a result of CTD by 0.96, 1.6, and 0.23%. The AnnAGNPS results were compared with mass fluxes observed from paired experimental watersheds (250, 470 ha) in the river basin. The "test" experimental watershed was dominated by CTD and the "reference" watershed by free drainage. Notwithstanding environmental/land use differences between the watersheds and basin, comparisons of seasonal observed and predicted discharge reductions were comparable in 100% of respective cases. Nutrient load comparisons were more consistent for dissolved, relative to particulate water quality endpoints. For one season under corn crop production, AnnAGNPS predicted a 55% decrease (CTD) in dissolved N from the basin. AnnAGNPS v. 5.2 treats P transport from a surface pool perspective, which is appropriate for many systems. However, for assessment of tile drainage management practices for relatively flat tile-dominated systems, AnnAGNPS may benefit from consideration of P and particulate transport in the subsurface. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

We’re All YA Now: A Review of Graphic Novels for Children and Young Adults

Directory of Open Access Journals (Sweden)

Lee Skallerup Bessette

2018-01-01

Full Text Available 'Graphic Novels for Children and Young Adults: A Collection of Critical Essays', edited by Michelle Ann Abate and Gwen Athene Tarbox, University Press of Mississippi, 352 pages, 2017, ISBN 978-1-4968-1167-7   This article is a review of 'Graphic Novels for Children and Young Adults: A Collection of Critical Essays', edited by Michelle Ann Abate and Gwen Athene Tarbox (University Press of Mississippi, 2017. Filling a significant gap in current scholarly research in comic studies, the collection will appeal to a wide range of scholars and educators. The review argues that reading this collection is less of a chore and more of a joyful journey of discovery.

Intégration des TIC dans la gouvernance locale au Sénégal | IDRC ...

International Development Research Centre (IDRC) Digital Library (Canada)

Intégration des TIC dans la gouvernance locale au Sénégal. Ce projet s'inscrit dans le contexte de la mise en oeuvre du plan d'action du Somment mondial sur la société de l'information (SMSI). Ce plan met l'accent entre autres sur la nécessité d'un partenariat public-privé pour permettre aux collectivités africaines un ...

Gestion intégrée de l'eau urbaine et rurale pour une adaptation ...

International Development Research Centre (IDRC) Digital Library (Canada)

Ce projet de recherche permettra à deux villes indiennes de taille moyenne et à leurs bassins de passer à une approche de gestion de l'eau intégrée et résistante aux changements climatiques, ce qui assurera une meilleure sécurité hydrique aux résidents. Manque de sécurité hydrique en Inde Les villes de l'Asie du Sud ...

Exact estimation of biodiesel cetane number (CN) from its fatty acid methyl esters (FAMEs) profile using partial least square (PLS) adapted by artificial neural network (ANN)

International Nuclear Information System (INIS)

Hosseinpour, Soleiman; Aghbashlo, Mortaza; Tabatabaei, Meisam; Khalife, Esmail

2016-01-01

Highlights: • Estimating the biodiesel CN from its FAMEs profile using ANN-based PLS approach. • Comparing the capability of ANN-adapted PLS approach with the standard PLS model. • Exact prediction of biodiesel CN from it FAMEs profile using ANN-based PLS method. • Developing an easy-to-use software using ANN-PLS model for computing the biodiesel CN. - Abstract: Cetane number (CN) is among the most important properties of biodiesel because it quantifies combustion speed or in better words, ignition quality. Experimental measurement of biodiesel CN is rather laborious and expensive. However, the high proportionality of biodiesel fatty acid methyl esters (FAMEs) profile with its CN is very appealing to develop straightforward and inexpensive computerized tools for biodiesel CN estimation. Unfortunately, correlating the chemical structure of biodiesel to its CN using conventional statistical and mathematical approaches is very difficult. To solve this issue, partial least square (PLS) adapted by artificial neural network (ANN) was introduced and examined herein as an innovative approach for the exact estimation of biodiesel CN from its FAMEs profile. In the proposed approach, ANN paradigm was used for modeling the inner relation between the input and the output PLS score vectors. In addition, the capability of the developed method in predicting the biodiesel CN was compared with the basal PLS method. The accuracy of the developed approaches for computing the biodiesel CN was assessed using three statistical criteria, i.e., coefficient of determination (R"2), mean-squared error (MSE), and percentage error (PE). The ANN-adapted PLS method predicted the biodiesel CN with an R"2 value higher than 0.99 demonstrating the fidelity of the developed model over the classical PLS method with a markedly lower R"2 value of about 0.85. In order to facilitate the use of the proposed model, an easy-to-use computer program was also developed on the basis of ANN-adapted PLS

Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain.

Science.gov (United States)

Hussain, Amjad; Syed, Muhammad Ali; Abbas, Nasir; Hanif, Sana; Arshad, Muhammad Sohail; Bukhari, Nadeem Irfan; Hussain, Khalid; Akhlaq, Muhammad; Ahmad, Zeeshan

2016-06-01

A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC) and sodium alginate (SA). The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and in vitro release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN) approach was applied to optimise formulations based on known effective parameters (i.e., mucoadhesive strength, mucoadhesion time and drug release), which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared via an optimized ANN approach.

EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN

Directory of Open Access Journals (Sweden)

Ridha Djemal

2017-01-01

Full Text Available Autism spectrum disorder (ASD is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new computer aided diagnosis (CAD of autism ‎based on electroencephalography (EEG signal analysis is investigated. The proposed method is based on discrete wavelet transform (DWT, entropy (En, and artificial neural network (ANN. DWT is used to decompose EEG signals into approximation and details coefficients to obtain EEG subbands. The feature vector is constructed by computing Shannon entropy values from each EEG subband. ANN classifies the corresponding EEG signal into normal or autistic based on the extracted features. The experimental results show the effectiveness of the proposed method for assisting autism diagnosis. A receiver operating characteristic (ROC curve metric is used to quantify the performance of the proposed method. The proposed method obtained promising results tested using real dataset provided by King Abdulaziz Hospital, Jeddah, Saudi Arabia.

[Reinhold Reith. Torsten Meyer (Hrsg.) Luxus und Konsum : eine historische Annäherung] / Raimo Pullat

Index Scriptorium Estoniae

Pullat, Raimo, 1935-

2009-01-01

Arvustus: Reith, Reinhold. Torsten Meyer (Hrsg.) Luxus und Konsum : eine historische Annäherung. Cottbuser Studien zur Geschichte von Technik, Arbeit und Umwelt. hrsg. von Günter Bayerl. Bd. 21. 2003. Collegium Johann Beckmann'i kolmanda teaduskonverentsi ettekannete kogumikust

Intégration régionale et politique des outre-mers

Directory of Open Access Journals (Sweden)

Didier Benjamin

1999-06-01

Full Text Available Grâce à ses outre-mers, qui lui apportent 96% de sa zone économique exclusive, la France dispose du troisième domaine maritime du monde et assure une présence sur tous les océans. Cependant, les outre-mers ne jouent plus qu'un rôle mineur dans la politique des océans. Ce paradoxe s'explique en partie par les difficultés qu'ils rencontrent à s'insérer dans les échanges internationaux et à s'intégrer aux organisations régionales. Les différences de niveaux de développement socioéconomique avec les pays voisins contribuent à isoler les outre-mers dans leur environnement immédiat.

The Int7G24A variant of transforming growth factor-beta receptor type I is a risk factor for colorectal cancer in the male Spanish population: a case-control study

Directory of Open Access Journals (Sweden)

Lázaro Rafael

2009-11-01

Full Text Available Abstract Background The Int7G24A variant of transforming growth factor-beta receptor type I (TGFBR1 has been shown to increase the risk for kidney, ovarian, bladder, lung and breast cancers. Its role in colorectal cancer (CRC has not been established. The aims of this study were to assess the association of TGFBR1*Int7G24A variant with CRC occurrence, patient age, gender, tumour location and stage. Methods We performed a case-control study with 504 cases of sporadic CRC; and 504 non-cancerous age, gender and ethnically matched controls. Genotyping analysis was performed using allelic discrimination assay by real time PCR. Results The Int7G24A variant was associated with increased CRC incidence in an additive model of inheritance (P for trend = 0.005. No significant differences were found between Int7G24A genotypes and tumour location or stage. Interestingly, the association of the Int7G24A variant with CRC risk was significant in men (odds ratio 4.10 with 95% confidence intervals 1.41-11.85 for homozygous individuals; P for trend = 0.00023, but not in women. We also observed an increase in susceptibility to CRC for individuals aged less than 70 years. Conclusion Our data suggest that the Int7G24A variant represents a risk factor for CRC in the male Spanish population.

Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun Study.

Science.gov (United States)

Grossi, Enzo; Buscema, Massimo P; Snowdon, David; Antuono, Piero

2007-06-21

Many reports have described that there are fewer differences in AD brain neuropathologic lesions between AD patients and control subjects aged 80 years and older, as compared with the considerable differences between younger persons with AD and controls. In fact some investigators have suggested that since neurofibrillary tangles (NFT) can be identified in the brains of non-demented elderly subjects they should be considered as a consequence of the aging process. At present, there are no universally accepted neuropathological criteria which can mathematically differentiate AD from healthy brain in the oldest old. The aim of this study is to discover the hidden and non-linear associations among AD pathognomonic brain lesions and the clinical diagnosis of AD in participants in the Nun Study through Artificial Neural Networks (ANNs) analysis The analyses were based on 26 clinically- and pathologically-confirmed AD cases and 36 controls who had normal cognitive function. The inputs used for the analyses were just NFT and neuritic plaques counts in neocortex and hippocampus, for which, despite substantial differences in mean lesions counts between AD cases and controls, there was a substantial overlap in the range of lesion counts. By taking into account the above four neuropathological features, the overall predictive capability of ANNs in sorting out AD cases from normal controls reached 100%. The corresponding accuracy obtained with Linear Discriminant Analysis was 92.30%. These results were consistently obtained in ten independent experiments. The same experiments were carried out with ANNs on a subgroup of 13 non severe AD patients and on the same 36 controls. The results obtained in terms of prediction accuracy with ANNs were exactly the same. Input relevance analysis confirmed the relative dominance of NFT in neocortex in discriminating between AD patients and controls and indicated the lesser importance played by NP in the hippocampus. The results of this study

History of psychosurgery at Sainte-Anne Hospital, Paris, France, through translational interactions between psychiatrists and neurosurgeons.

Science.gov (United States)

Zanello, Marc; Pallud, Johan; Baup, Nicolas; Peeters, Sophie; Turak, Baris; Krebs, Marie Odile; Oppenheim, Catherine; Gaillard, Raphael; Devaux, Bertrand

2017-09-01

Sainte-Anne Hospital is the largest psychiatric hospital in Paris. Its long and fascinating history began in the 18th century. In 1952, it was at Sainte-Anne Hospital that Jean Delay and Pierre Deniker used the first neuroleptic, chlorpromazine, to cure psychiatric patients, putting an end to the expansion of psychosurgery. The Department of Neuro-psychosurgery was created in 1941. The works of successive heads of the Neurosurgery Department at Sainte-Anne Hospital summarized the history of psychosurgery in France. Pierre Puech defined psychosurgery as the necessary cooperation between neurosurgeons and psychiatrists to treat the conditions causing psychiatric symptoms, from brain tumors to mental health disorders. He reported the results of his series of 369 cases and underlined the necessity for proper follow-up and postoperative re-education, illustrating the relative caution of French neurosurgeons concerning psychosurgery. Marcel David and his assistants tried to follow their patients closely postoperatively; this resulted in numerous publications with significant follow-up and conclusions. As early as 1955, David reported intellectual degradation 2 years after prefrontal leucotomies. Jean Talairach, a psychiatrist who eventually trained as a neurosurgeon, was the first to describe anterior capsulotomy in 1949. He operated in several hospitals outside of Paris, including the Sarthe Psychiatric Hospital and the Public Institution of Mental Health in the Lille region. He developed stereotactic surgery, notably stereo-electroencephalography, for epilepsy surgery but also to treat psychiatric patients using stereotactic lesioning with radiofrequency ablation or radioactive seeds of yttrium-90. The evolution of functional neurosurgery has been marked by the development of deep brain stimulation, in particular for obsessive-compulsive disorder, replacing the former lesional stereotactic procedures. The history of Sainte-Anne Hospital's Neurosurgery Department sheds

Interrater reliability of the Saint-Anne Dargassies Scale in assessing the neurological patterns of healthy preterm newborns

Directory of Open Access Journals (Sweden)

Carla Ismirna Santos Alves

Full Text Available Abstract Objectives: to assess the interrater reliability of the Saint-Anne Dargassies Scale in assessing neurological patterns of healthy preterm newborns. Methods: twenty preterm newborns met the inclusion criteria for participation in this prospective study. The neurologic examination was performed using the Saint-Anne Dargassies Scale, showing normal serial cranial ultrasound examination. In order to test the reliability, the study was structured as follows: group I (rater 1/physiotherapist; rater 2/neonatologist; group II (rater 3/physiotherapist; rater 4/child neurologist and the gold standard (expert and professor in pediatric neurology. Results: high interrater agreement was observed between groups I - II compared with the gold standard in assessing postural pattern (p<0.01. Regarding the assessment ofprimitive reflexes, greater agreement was observed in the evaluation of palmar grasp reflex and Moro reflex (p< 0.01 for group I compared with the gold standard. An analysis of tone demonstrated heterogeneous agreement, without compromising the reliability of the scale. The probability of equality between measurements of head circumference in the two groups, compared with the gold standard, was observed. Conclusions: the Saint-Anne Dargassies Scale demonstrated high reliability and homogeneity with significant power of reproducibility and may be capable to identify preterm newborns suspected of having neurological deficits.

A study of using smartphone to detect and identify construction workers' near-miss falls based on ANN

Science.gov (United States)

Zhang, Mingyuan; Cao, Tianzhuo; Zhao, Xuefeng

2018-03-01

As an effective fall accident preventive method, insight into near-miss falls provides an efficient solution to find out the causes of fall accidents, classify the type of near-miss falls and control the potential hazards. In this context, the paper proposes a method to detect and identify near-miss falls that occur when a worker walks in a workplace based on artificial neural network (ANN). The energy variation generated by workers who meet with near-miss falls is measured by sensors embedded in smart phone. Two experiments were designed to train the algorithm to identify various types of near-miss falls and test the recognition accuracy, respectively. At last, a test was conducted by workers wearing smart phones as they walked around a simulated construction workplace. The motion data was collected, processed and inputted to the trained ANN to detect and identify near-miss falls. Thresholds were obtained to measure the relationship between near-miss falls and fall accidents in a quantitate way. This approach, which integrates smart phone and ANN, will help detect near-miss fall events, identify hazardous elements and vulnerable workers, providing opportunities to eliminate dangerous conditions in a construction site or to alert possible victims that need to change their behavior before the occurrence of a fall accident.

Modeling Multi-Event Non-Point Source Pollution in a Data-Scarce Catchment Using ANN and Entropy Analysis

Directory of Open Access Journals (Sweden)

Lei Chen

2017-06-01

Full Text Available Event-based runoff–pollutant relationships have been the key for water quality management, but the scarcity of measured data results in poor model performance, especially for multiple rainfall events. In this study, a new framework was proposed for event-based non-point source (NPS prediction and evaluation. The artificial neural network (ANN was used to extend the runoff–pollutant relationship from complete data events to other data-scarce events. The interpolation method was then used to solve the problem of tail deviation in the simulated pollutographs. In addition, the entropy method was utilized to train the ANN for comprehensive evaluations. A case study was performed in the Three Gorges Reservoir Region, China. Results showed that the ANN performed well in the NPS simulation, especially for light rainfall events, and the phosphorus predictions were always more accurate than the nitrogen predictions under scarce data conditions. In addition, peak pollutant data scarcity had a significant impact on the model performance. Furthermore, these traditional indicators would lead to certain information loss during the model evaluation, but the entropy weighting method could provide a more accurate model evaluation. These results would be valuable for monitoring schemes and the quantitation of event-based NPS pollution, especially in data-poor catchments.

Composition chimique et activité antibactérienne des Huiles ...

African Journals Online (AJOL)

car la recherche des nouveaux médicaments est continuelle [1]. Les limites ... les huiles essentielles offre de nouvelles perspectives thérapeutiques. En effet, depuis quelques années, un intérêt accru est porté sur les huiles essentielles ayant montré des .... essentielle par mesure du diamètre d'inhibition, autour d'un disque ...

Résultats de recherche | Page 122 | CRDI - Centre de recherches ...

International Development Research Centre (IDRC) Digital Library (Canada)

Améliorer l'intégration des jeunes chercheurs africains dans les systèmes de recherche et d'innovation. Les crises économiques vécues par les pays africains depuis la fin des années 1970 ainsi que les programmes d'ajustement structurel qui les suivaient ont relégué la recherche scientifique et l'innovation technologique ...

Case series

African Journals Online (AJOL)

abp

15 mars 2016 ... cancer in Belarus after Chernobyl. Int Congr Ser. 2007;1299(1):27-31. PubMed | Google Scholar. 6. Wémeau JL, Caron P, Helal B et al.Thyroïde et Chernoby l. Ann. Endocrinol. 2001;62(5):435-6. PubMed| Google Scholar. 7. Damak H. Nodules thyroïdiens?: Facteurs prédictifs de malignité. 2002 Sfax.

Knowledge Systems and Natural Resources : Management, Policy ...

International Development Research Centre (IDRC) Digital Library (Canada)

31 oct. 2007 ... Depuis quelques années, les chercheurs, les responsables des politiques et les militants du développement s'intéressent fortement aux systèmes de connaissances. Knowledge Systems and Natural Resources est un recueil unique d'études de cas réalisées au Népal. Cet ouvrage apporte un éclairage ...

Uudised : Indi-sahinad. Anne Erm ja Eero Raun on heliloojad. Imelaste lemmik on heavy metal

Index Scriptorium Estoniae

2007-01-01

Ameerika laulja Kimya Dawson 7. juulil Kilingi-Nõmmel minifestivalil "Schilling". Pianist Martti Raide esitab festivali Eesti muusika päevad 2007 suurkontserdil 16. aprillil Eero Rauna klaveripala "Tritonata", üllatusheliloojaks on ka "Jazzkaare" produtsent Anne Erm. Inglismaal Noorte Talentide Rahvuslikus Akadeemias tehtud uuringust

SA Virumaa Muuseumid Viru-Nigula pastopraadimuuseum / Fredi-Armand Tomps, Leila Pärtelpoeg, Annes Hermann

Index Scriptorium Estoniae

Tomps, Fredi-Armand, 1928

2008-01-01

12 ill.; fotod: Sven Arbet, Arvi Kriis; pastoraadimajas on renoveeritud esimesed ruumid, s.h. saal (arhitekt Fredi Tomps, sisearhitekt Leila Pärtelpoeg); sohva koopia on valminud 1990-ndate algul L. Pärtelpoja jooniste järgi Tartu kunstikooli mööbliosakonna õpilaste diplomitööna Annes Hermanni juhendamisel

The Nation behind the Diary: Anne Frank and the Holocaust of the Dutch Jews

Science.gov (United States)

Foray, Jennifer L.

2011-01-01

Since its first appearance in 1947, "The Diary of Anne Frank" has been translated into sixty-five different languages, including Welsh, Esperanto, and Faroese. Millions and perhaps even billions of readers, scattered throughout the globe and now spanning multiple generations, are familiar with the life and work of this young Jewish…

Création d'outils pour la mesure de l'intégration des technologies de ...

International Development Research Centre (IDRC) Digital Library (Canada)

En collaborant avec les ministères de l'Éducation de la Colombie, du Mexique, du Pérou et de l'Uruguay, les chercheurs élaboreront des méthodologies communes et des indicateurs pertinents localement en vue de surveiller et de mesurer l'intégration des TIC en classe. Les résultats obtenus fourniront aux décideurs les ...

Intégration et coopération régionales en Afrique de l'Ouest | CRDI ...

International Development Research Centre (IDRC) Digital Library (Canada)

Épuisé. 406 pages. e-ISBN : 1552502988. Téléchargez le PDF · Téléchargez le cyberlivre. Cet ouvrage constate l'échec de l'intégration et de la coopération régionales en Afrique de l'Ouest et en analyse les raisons. Simultanément, il explore certaines des options permettant d'envisager la revitalisation de ce processus.

RHOEO SPATHACEA: A CYTOGENETICAL REVIEW

OpenAIRE

Datta Animesh K.; Mandal Aninda; Bhattacharya Arnab; Saha Aditi; Paul Rita

2012-01-01

A cytogenetical review is conducted on Rhoeo spathacea (Swartz) Stearn (monotypic genus of the family Commelinaceae) including conventional heterozygote (var. bicolor) form (2n=12) and a rare bivalent forming clone of var. concolor (2n=12) with an objective to provide cytological configurations explaining some of the important cytogenetical aspects, which is rather difficult in sexually propagated plant species due to sterility barriers. Cytological configurations documented may generate inte...

Great Lakes Research Review, 1982. Appendices.

Science.gov (United States)

1982-11-01

7D-i53 28 GREAT LAKES RESEARCH REVIEW 1982 PPENDICES (U) / PETROLEUM REFINERY PO INT SOURCE TASK FORCE WINDSOR (ONTARIO) NOV 82UNCLASSIFIED F/G 8...C7 U. 3 X 7 45 1 2 0. ODm C of. C.’ WC.’ L. LI 7 R-Ri53 62B GREAT LKES RESEARCH REVIEW 1982 PPENDICES (U) 2/3 PETROLEUM REFINERY POINT SOURCE TASK...NUMBER ORGANIZATION* TITLE OF PROJECT 001 A** 0300 ERL-D Acute and Early Life Stage Toxicity Testing of Priority Pollutant Chemicals 002 A 0302 ERL-D

Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain

Directory of Open Access Journals (Sweden)

Hussain Amjad

2016-06-01

Full Text Available A novel mucoadhesive buccal tablet containing flurbiprofen (FLB and lidocaine HCl (LID was prepared to relieve dental pain. Tablet formulations (F1-F9 were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC and sodium alginate (SA. The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and in vitro release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN approach was applied to optimise formulations based on known effective parameters (i.e., mucoadhesive strength, mucoadhesion time and drug release, which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared via an optimized ANN approach.

L'Algérie, intégration de l'évaluation citoyenne comme maîtrise d ...

African Journals Online (AJOL)

Haridi

6 juin 2016 ... loi (83-03, 1983) relative à la protection de l'environnement. ... Initiée dans les années 1990, l'évaluation citoyenne est pratiquée selon trois niveaux [10] : ..... sécurité) et à l'emploi dans ces secteurs miniers et énergétiques.

Prediction of IRI in short and long terms for flexible pavements: ANN and GMDH methods

NARCIS (Netherlands)

Ziari, H.; Sobhani, J.; Ayoubinejad, J.; Hartmann, Timo

2015-01-01

Prediction of pavement condition is one of the most important issues in pavement management systems. In this paper, capabilities of artificial neural networks (ANNs) and group method of data handling (GMDH) methods in predicting flexible pavement conditions were analysed in three levels: in 1 year,

Tunnustati parimaid üliõpilasteadlasi / Elsa Suuster, Marit Alas, Annely Aleksejev ; küsitlenud Vilma Rauniste

Index Scriptorium Estoniae

Putku, Elsa, 1984-

2009-01-01

Vestlus üliõpilaste teadustööde riikliku konkursi kolme laureaadiga, kelle uurimistöö oli tehtud Saare maakonnas. Nendeks on Elsa Suuster ja Annely Aleksejev Eesti Maaülikoolist ning Marit Alas Tallinna Ülikoolist

CUDA-accelerated genetic feedforward-ANN training for data mining

International Nuclear Information System (INIS)

Patulea, Catalin; Peace, Robert; Green, James

2010-01-01

We present an implementation of genetic algorithm (GA) training of feedforward artificial neural networks (ANNs) targeting commodity graphics cards (GPUs). By carefully mapping the problem onto the unique GPU architecture, we achieve order-of-magnitude speedup over a conventional CPU implementation. Furthermore, we show that the speedup is consistent across a wide range of data set sizes, making this implementation ideal for large data sets. This performance boost enables the genetic algorithm to search a larger subset of the solution space, which results in more accurate pattern classification. Finally, we demonstrate this method in the context of the 2009 UC San Diego Data Mining Contest, achieving a world-class lift on a data set of 94682 e-commerce transactions.

CUDA-accelerated genetic feedforward-ANN training for data mining

Energy Technology Data Exchange (ETDEWEB)

Patulea, Catalin; Peace, Robert; Green, James, E-mail: cpatulea@sce.carleton.ca, E-mail: rpeace@sce.carleton.ca, E-mail: jrgreen@sce.carleton.ca [School of Systems and Computer Engineering, Carleton University, Ottawa, K1S 5B6 (Canada)

2010-11-01

We present an implementation of genetic algorithm (GA) training of feedforward artificial neural networks (ANNs) targeting commodity graphics cards (GPUs). By carefully mapping the problem onto the unique GPU architecture, we achieve order-of-magnitude speedup over a conventional CPU implementation. Furthermore, we show that the speedup is consistent across a wide range of data set sizes, making this implementation ideal for large data sets. This performance boost enables the genetic algorithm to search a larger subset of the solution space, which results in more accurate pattern classification. Finally, we demonstrate this method in the context of the 2009 UC San Diego Data Mining Contest, achieving a world-class lift on a data set of 94682 e-commerce transactions.

The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction.

Science.gov (United States)

Roche, Daniel B; Buenavista, Maria T; Tetchner, Stuart J; McGuffin, Liam J

2011-07-01

The IntFOLD server is a novel independent server that integrates several cutting edge methods for the prediction of structure and function from sequence. Our guiding principles behind the server development were as follows: (i) to provide a simple unified resource that makes our prediction software accessible to all and (ii) to produce integrated output for predictions that can be easily interpreted. The output for predictions is presented as a simple table that summarizes all results graphically via plots and annotated 3D models. The raw machine readable data files for each set of predictions are also provided for developers, which comply with the Critical Assessment of Methods for Protein Structure Prediction (CASP) data standards. The server comprises an integrated suite of five novel methods: nFOLD4, for tertiary structure prediction; ModFOLD 3.0, for model quality assessment; DISOclust 2.0, for disorder prediction; DomFOLD 2.0 for domain prediction; and FunFOLD 1.0, for ligand binding site prediction. Predictions from the IntFOLD server were found to be competitive in several categories in the recent CASP9 experiment. The IntFOLD server is available at the following web site: http://www.reading.ac.uk/bioinf/IntFOLD/.

Elastic, vibration and thermodynamic properties of Cu1‑x Ag x InTe2 (x = 0, 0.25, 0.5, 0.75 and 1) chalcopyrite compounds via first principles

Science.gov (United States)

Zhong, Yuhan; Wang, Peida; Mei, Huayue; Jia, Zhenyuan; Cheng, Nanpu

2018-06-01

CuInTe2 chalcopyrite compound is widely used in the fields of optoelectronics and pyroelectricity, and doping atoms can further improve the physical properties of the CuInTe2 compound. For all we know, this is the first time that the elastic behaviors and lattice dynamical properties of Ag-doped CuInTe2 compounds with the tetragonal system are determined theoretically. The elastic, lattice dynamical and thermal properties of Cu1‑x Ag x InTe2 (x = 0, 0.25, 0.5, 0.75 and 1) compounds have been investigated by using density functional theory. The obtained elastic constants of Cu1‑x Ag x InTe2 compounds indicate that these compounds are mechanically stable and elastic anisotropic. The anisotropy of the {001} plane is more obvious than those of the {100} and {010} planes. Additionally, with increasing Ag doping concentrations, the bulk and shear moduli of Cu1‑x Ag x InTe2 compounds decrease and their toughness improves. The phonon spectra and density of states reveal that Cu (or Ag) atoms in Cu1‑x Ag x InTe2 compounds form chemical bonds with Te atoms, and Cu-Te bonds are gradually replaced by Ag-Te bonds with increasing Ag doping concentration. Vibration modes of Cu1‑x Ag x InTe2 compounds at the {{Γ }} point in the Brillouin zone show that each Cu1‑x Ag x InTe2 (x = 0 and 1) crystal includes five irreducible representations (A1, A2, B1, B2 and E). As for Cu1‑x Ag x InTe2 (x = 0.25, 0.5 and 0.75) compounds, each crystal has three irreducible representations (A, B and E). The atomic displacements of several typical phonon modes in CuInTe2 crystals have been analyzed to deepen the understanding of lattice vibrations in Cu1‑x AgxInTe2 compounds. With increasing Ag doping concentration, the Debye temperatures of Cu1‑x Ag x InTe2 compounds decrease, while their heat capacities increase.

FPGA implementation of adaptive ANN controller for speed regulation of permanent magnet stepper motor drives

Energy Technology Data Exchange (ETDEWEB)

Hasanien, Hany M., E-mail: Hanyhasanien@ieee.or [Dept. of Elec. Power and Machines, Faculty of Eng., Ain Shams Univ., Cairo (Egypt)

2011-02-15

This paper presents a novel adaptive artificial neural network (ANN) controller, which applies on permanent magnet stepper motor (PMSM) for regulating its speed. The dynamic response of the PMSM with the proposed controller is studied during the starting process under the full load torque and under load disturbance. The effectiveness of the proposed adaptive ANN controller is then compared with that of the conventional PI controller. The proposed methodology solves the problem of nonlinearities and load changes of PMSM drives. The proposed controller ensures fast and accurate dynamic response with an excellent steady state performance. Matlab/Simulink tool is used for this dynamic simulation study. The main contribution of this work is the implementation of the proposed controller on field programmable gate array (FPGA) hardware to drive the stepper motor. The driver is built on FPGA Spartan-3E Starter from Xilinx. Experimental results are presented to demonstrate the validity and effectiveness of the proposed control scheme.

ANN based controller for three phase four leg shunt active filter for power quality improvement

Directory of Open Access Journals (Sweden)

J. Jayachandran

2016-03-01

Full Text Available In this paper, an artificial neural network (ANN based one cycle control (OCC strategy is proposed for the DSTATCOM shunted across the load in three phase four wire distribution system. The proposed control strategy mitigates harmonic/reactive currents, ensures balanced and sinusoidal source current from the supply mains that are nearly in phase with the supply voltage and compensates neutral current under varying source and load conditions. The proposed control strategy is superior over conventional methods as it eliminates, the sensors needed for sensing load current and coupling inductor current, in addition to the multipliers and the calculation of reference currents. ANN controllers are implemented to maintain voltage across the capacitor and as a compensator to compensate neutral current. The DSTATCOM performance is validated for all possible conditions of source and load by simulation using MATLAB software and simulation results prove the efficacy of the proposed control over conventional control strategy.

FPGA implementation of adaptive ANN controller for speed regulation of permanent magnet stepper motor drives

International Nuclear Information System (INIS)

Hasanien, Hany M.

2011-01-01

This paper presents a novel adaptive artificial neural network (ANN) controller, which applies on permanent magnet stepper motor (PMSM) for regulating its speed. The dynamic response of the PMSM with the proposed controller is studied during the starting process under the full load torque and under load disturbance. The effectiveness of the proposed adaptive ANN controller is then compared with that of the conventional PI controller. The proposed methodology solves the problem of nonlinearities and load changes of PMSM drives. The proposed controller ensures fast and accurate dynamic response with an excellent steady state performance. Matlab/Simulink tool is used for this dynamic simulation study. The main contribution of this work is the implementation of the proposed controller on field programmable gate array (FPGA) hardware to drive the stepper motor. The driver is built on FPGA Spartan-3E Starter from Xilinx. Experimental results are presented to demonstrate the validity and effectiveness of the proposed control scheme.

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean.

Science.gov (United States)

Alizadeh, Mohamad Javad; Kavianpour, Mohamad Reza

2015-09-15

The main objective of this study is to apply artificial neural network (ANN) and wavelet-neural network (WNN) models for predicting a variety of ocean water quality parameters. In this regard, several water quality parameters in Hilo Bay, Pacific Ocean, are taken under consideration. Different combinations of water quality parameters are applied as input variables to predict daily values of salinity, temperature and DO as well as hourly values of DO. The results demonstrate that the WNN models are superior to the ANN models. Also, the hourly models developed for DO prediction outperform the daily models of DO. For the daily models, the most accurate model has R equal to 0.96, while for the hourly model it reaches up to 0.98. Overall, the results show the ability of the model to monitor the ocean parameters, in condition with missing data, or when regular measurement and monitoring are impossible. Copyright © 2015 Elsevier Ltd. All rights reserved.

Reaching out to the American middle class: Peggy Noonan’s conservatism

Directory of Open Access Journals (Sweden)

Luc BENOIT A LA GUILLAUME

2008-10-01

Full Text Available Parmi les idéologues qui popularisent les idées conservatrices auprès du grand public, Peggy Noonan occupe une place intéressante. Moins extrémiste que Rush Limbaugh ou Ann Coulter, elle exprime les angoisses et les espoirs des Reagan Democrats, ces Américains moyens devenus conservateurs depuis les années 80. Cet article analyse les ambivalences d’un discours qui entre en résonance avec celles d’une partie de la classe moyenne américaine.Since the 1990s, Peggy Noonan’s writings have translated conservative ideas into articles and bestselling books for the wider American public. In a less abrasive way than Rush Limbaugh or Ann Coulter, she expresses the hopes and fears of the Reagan Democrats. This article analyzes Noonan’s ambivalent rhetoric, which mirrors the ambivalent attitudes of parts of America’s embattled middle class.

Facteurs prédictifs de succès des étudiants en première année de médecine à l'université de Parakou

Science.gov (United States)

Adoukonou, Thierry; Tognon-Tchegnonsi, Francis; Mensah, Emile; Allodé, Alexandre; Adovoekpe, Jean-Marie; Gandaho, Prosper; Akpona, Simon

2016-01-01

Introduction Plusieurs facteurs dont les notes obtenues au BAC peuvent influencer les performances académiques des étudiants en première année de médecine. L'objectif de cette étude était d’évaluer la relation entre les résultats des étudiants au BAC et le succès en première année de médecine. Méthodes Nous avons réalisé une étude analytique ayant inclus l'ensemble des étudiants régulièrement inscrits en première année à la Faculté de Médecine de l'université de Parakou durant l'année académique 2010-2011. Les données concernant les notes par discipline et mention obtenue au BAC ont été collectées. Une analyse multivariée utilisant la régression logistique et la régression linéaire multiple a permis d’établir les meilleurs prédicteurs du succès et de la moyenne de l’étudiant en fin d'année. Le logiciel SPSS version 17.0 a été utilisé pour l'analyse des données et un p 15/20 était associée au succès (OR: 2,8 [1,32- 6,00]). Pour la moyenne générale obtenue en fin d'année seule une mention bien obtenue au BAC était associée (coefficient de l'erreur standard: 0,130 Bêta =0,370 et p=0,00001). Conclusion Les meilleurs prédicateurs du succès en première année étaient une bonne moyenne en sciences physiques au BAC et une mention bien. La prise en compte de ces éléments dans le recrutement des étudiants en première année pourrait améliorer les résultats académiques. PMID:27313819

Hybrid lentivirus-phiC31-int-NLS vector allows site-specific recombination in murine and human cells but induces DNA damage.

Directory of Open Access Journals (Sweden)

Nicolas Grandchamp

Full Text Available Gene transfer allows transient or permanent genetic modifications of cells for experimental or therapeutic purposes. Gene delivery by HIV-derived lentiviral vector (LV is highly effective but the risk of insertional mutagenesis is important and the random/uncontrollable integration of the DNA vector can deregulate the cell transcriptional activity. Non Integrative Lentiviral Vectors (NILVs solve this issue in non-dividing cells, but they do not allow long term expression in dividing cells. In this context, obtaining stable expression while avoiding the problems inherent to unpredictable DNA vector integration requires the ability to control the integration site. One possibility is to use the integrase of phage phiC31 (phiC31-int which catalyzes efficient site-specific recombination between the attP site in the phage genome and the chromosomal attB site of its Streptomyces host. Previous studies showed that phiC31-int is active in many eukaryotic cells, such as murine or human cells, and directs the integration of a DNA substrate into pseudo attP sites (pattP which are homologous to the native attP site. In this study, we combined the efficiency of NILV for gene delivery and the specificity of phiC31-int for DNA substrate integration to engineer a hybrid tool for gene transfer with the aim of allowing long term expression in dividing and non-dividing cells preventing genotoxicity. We demonstrated the feasibility to target NILV integration in human and murine pattP sites with a dual NILV vectors system: one which delivers phiC31-int, the other which constitute the substrate containing an attB site in its DNA sequence. These promising results are however alleviated by the occurrence of significant DNA damages. Further improvements are thus required to prevent chromosomal rearrangements for a therapeutic use of the system. However, its use as a tool for experimental applications such as transgenesis is already applicable.

Neuropathological findings processed by artificial neural networks (ANNs can perfectly distinguish Alzheimer's patients from controls in the Nun Study

Directory of Open Access Journals (Sweden)

Snowdon David

2007-06-01

Full Text Available Abstract Background Many reports have described that there are fewer differences in AD brain neuropathologic lesions between AD patients and control subjects aged 80 years and older, as compared with the considerable differences between younger persons with AD and controls. In fact some investigators have suggested that since neurofibrillary tangles (NFT can be identified in the brains of non-demented elderly subjects they should be considered as a consequence of the aging process. At present, there are no universally accepted neuropathological criteria which can mathematically differentiate AD from healthy brain in the oldest old. The aim of this study is to discover the hidden and non-linear associations among AD pathognomonic brain lesions and the clinical diagnosis of AD in participants in the Nun Study through Artificial Neural Networks (ANNs analysis Methods The analyses were based on 26 clinically- and pathologically-confirmed AD cases and 36 controls who had normal cognitive function. The inputs used for the analyses were just NFT and neuritic plaques counts in neocortex and hippocampus, for which, despite substantial differences in mean lesions counts between AD cases and controls, there was a substantial overlap in the range of lesion counts. Results By taking into account the above four neuropathological features, the overall predictive capability of ANNs in sorting out AD cases from normal controls reached 100%. The corresponding accuracy obtained with Linear Discriminant Analysis was 92.30%. These results were consistently obtained in ten independent experiments. The same experiments were carried out with ANNs on a subgroup of 13 non severe AD patients and on the same 36 controls. The results obtained in terms of prediction accuracy with ANNs were exactly the same. Input relevance analysis confirmed the relative dominance of NFT in neocortex in discriminating between AD patients and controls and indicated the lesser importance

RPA70 depletion induces hSSB1/2-INTS3 complex to initiate ATR signaling

OpenAIRE

Kar, Ananya; Kaur, Manpreet; Ghosh, Tanushree; Khan, Md. Muntaz; Sharma, Aparna; Shekhar, Ritu; Varshney, Akhil; Saxena, Sandeep

2015-01-01

The primary eukaryotic single-stranded DNA-binding protein, Replication protein A (RPA), binds to single-stranded DNA at the sites of DNA damage and recruits the apical checkpoint kinase, ATR via its partner protein, ATRIP. It has been demonstrated that absence of RPA incapacitates the ATR-mediated checkpoint response. We report that in the absence of RPA, human single-stranded DNA-binding protein 1 (hSSB1) and its partner protein INTS3 form sub-nuclear foci, associate with the ATR-ATRIP comp...

Kuis saada läbi Siirita? / Mari-Ann Kelam, Erika Salumäe, Sirje Endre

Index Scriptorium Estoniae

Kelam, Mari-Ann, 1946-

2001-01-01

Riigikogu uude juhatusse ei kuulu ühtegi naist : Keskerakond valis Siiri Oviiri asemele Riigikogu aseesimehe kohale Peeter Kreitzbergi. Naiste osalemisvõimalust poliitikas kommenteerivad Riigikogu naisliikmed Mari-Ann Kelam, Erika Salumäe, Sirje Endre, Jaana Padrik, Viive Rosenberg, Mai Treial, Ivi Eenmaa, Liis Klaar, Liia Hänni, Laine Tarvis

75 FR 23745 - Jo-Ann Stores, Inc., Provisional Acceptance of a Settlement Agreement and Order

Science.gov (United States)

2010-05-04

... Acceptance of a Settlement Agreement and Order AGENCY: Consumer Product Safety Commission. ACTION: Notice... under the laws of the State of Ohio, with its principal offices located in Hudson, Ohio. At all times relevant hereto, Jo-Ann imported, offered for sale and sold various children's products. Staff Allegations...

Le label « bateaux d’intérêt patrimonial »

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Herveline Delhumeau

2009-05-01

Full Text Available Le label « bateaux d’intérêt patrimonial » s’inscrit pleinement dans les missions de la Fondation du patrimoine maritime et fluvial qui a pour vocation d’inventorier, de sauvegarder, de préserver et de promouvoir le patrimoine maritime et fluvial national non protégé par l’État. (fig. n°1Figure 1Belote et Re, thonier-chalutier traditionnel, construit en 1957 à Saint-Gilles Croix-de-Vie. Ce bateau est la dernière coque en bois réalisée par le chantier Bénéteau-père. © Fondation du Patrimoine ...

Sally Mann, La chair toute nue

Directory of Open Access Journals (Sweden)

Lisa Rossi

2010-02-01

Full Text Available Il y a trente ans de cela, la féministe Margaret Walters remarquait qu’il subsistait une distinction tenace entre « le Sexe-qui-regarde » et le « Sexe-qui-est-regardé » dans les conventions de la représentation du nu. Une vingtaine d’années plus tard, Germaine Greer réaffirmait cette assertion et déplorait que toute transgression de cet état de fait provoquât la controverse, ou pire, n’éveillât aucun intérêt (The Beautiful Boy, 2003. Si le mouvement féministe des années 1970 a vu des artiste...

Joaquín Sorolla pintor del Rey Alfonso XIII 

Directory of Open Access Journals (Sweden)

Jordane Fauvey

2011-06-01

Full Text Available « Aujourd’hui Sorolla intéresse », déclarait Florencio de Santa-Ana, directeur du Musée Sorolla de Madrid, à l’occasion de l’exposition Sorolla íntimo (2004. En effet, depuis les années 1980-90, le peintre des plages de Valence est à la mode. En témoignent la fréquence des expositions concernant directement son œuvre, ou encore le prix des toiles qui sont aujourd’hui les plus élevées du marché, juste derrière les chef-d’œuvres des impressionnistes français. Ces dernières années ont également...

« Is Book Reading Doomed ? »

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Claire Parfait

2006-04-01

Full Text Available « Miner Reading to Children, » NARA, 069-n-21588-dEn 1963, Bennet Cerf, PDG de Random House, explique ainsi l’intérêt que porte le monde de la finance à l’édition : « [...] publishing is virtually a depression‑proof business. » Il en prend pour preuve la crise des années 30, pendant laquelle l’industrie a moins souffert que les autres, et ce même pendant l’année la plus sombre, 1932 (Cerf. Cerf n’a pas tort de souligner la relative bonne santé de l’édition, ou du moins sa survie durant la cr...

Pertes alimentaires dans la filière protéagineuse

OpenAIRE

Duc, Gérard; Anton, Marc; Baranger, Alain; Biarnes, Véronique; Buitink, Julia; Carrouée, B.; Georget, Martine; Jeuffroy, Marie-Helene; Lessire, Michel; Magrini, Marie-Benoît; Pinochet, Xavier; Walrand, Stéphane

2015-01-01

La filière française des protéagineux (espèces pois, féverole et lupins), développée dans les années 1980 à 1990, avait pour premier objectif de répondre aux besoins de l’alimentation animale. A partir des années 2000, un marché significatif vers l’alimentation humaine s’est aussi développé. Sur la base d’une estimation à 370 000 t de protéagineux actuellement destinées à l’alimentation humaine (export + marché intérieur), les pertes sont surtout situées à la récolte et représenteraient 22 00...

E-kursus nõuab aega ja pühendumist / Ivo Leito, Irja Helm, Anne Krull ; intervjueerinud Laura Vetik

Index Scriptorium Estoniae

Leito, Ivo, 1972-

2015-01-01

Intervjuu Tartu Ülikooli keemiakursuse "Estimation of Measurement Uncertainty in Chemical Analysis" autorite Ivo Leito ja Irja Helmiga ning Tartu Kutsehariduskeskuse e-kursuse "Praktiline keemia" autori Anne Krulliga

La responsabilité de rendre compte : le rôle des médias dans le ...

International Development Research Centre (IDRC) Digital Library (Canada)

28 janv. 2011 ... Ce journaliste chevronné et professeur à l'École de journalisme et de communication de l'Université Carleton s'intéresse à l'histoire du Rwanda depuis qu'il a effectué son tout premier voyage dans ce pays africain, au milieu des années 1990. En 1996, en effet, il travaillait là-bas comme journaliste pour le ...

Department of Clinical Investigation, Annual Research Progress Report Fiscal Year 1988

Science.gov (United States)

1988-09-30

differences in the prevalence of amenorrhea , late menarche, parity, gynecologic age, smoking history, above or below normal weight, and exercise ...81(9): 1193-95, 1988 Kollef MH, Irvine T, Nonbacterial Thrombotic Endo- Cragun WH carditis Associated With Gold- Induced Pulmonary Disease. Ann Int Med...Coronary Artery Revascular- ization with the Internal Mammary Artery. Chest 94(1): 68-71, 1988 Kollef MH, Witte MC Pacing Wire- Induced Recurrent

Production d'énergie à partie de la houle. Bilan provisoire après 2 ans de déroulement du programme

OpenAIRE

Damy, Gilbert

1982-01-01

Le réajustement brutal des cours des produits pétroliers a provoqué vers la fin des années 70 une prise de conscience de l'opinion de la vulnérabilité et des limites de nos ressources énergétiques fossiles ainsi qu'un regain d' intérêt pour les énergies renouvelables. [OCR NON CONTRÔLE

Konverentsimuljeid tegijailt ja osalejailt / Monika Läänesaar, Ann Lumiste, Andrus Laansalu...[jt.] ; interv. Madis Kolk

Index Scriptorium Estoniae

2000-01-01

Rahvusvahelisest konverentsist "Lavailm" ja näitusest "Teatrikunstnik...kes ta on?" (kuraator Ann Lumiste) Rotermanni soolalaos, teatrikunstniku positsioonist teatris, uue meedia ja teatri koostöö võimalikkusest, keskkonna ja visuaalsete elementide mõju lavastaja- ja näitlejatööle.

Lin- CD34hi CD117int/hi FcεRI+ cells in human blood constitute a rare population of mast cell progenitors.

Science.gov (United States)

Dahlin, Joakim S; Malinovschi, Andrei; Öhrvik, Helena; Sandelin, Martin; Janson, Christer; Alving, Kjell; Hallgren, Jenny

2016-01-28

Mast cells are rare tissue-resident immune cells that are involved in allergic reactions, and their numbers are increased in the lungs of asthmatics. Murine lung mast cells arise from committed bone marrow-derived progenitors that enter the blood circulation, migrate through the pulmonary endothelium, and mature in the tissue. In humans, mast cells can be cultured from multipotent CD34(+) progenitor cells. However, a population of distinct precursor cells that give rise to mast cells has remained undiscovered. To our knowledge, this is the first report of human lineage-negative (Lin(-)) CD34(hi) CD117(int/hi) FcεRI(+) progenitor cells, which represented only 0.0053% of the isolated blood cells in healthy individuals. These cells expressed integrin β7 and developed a mast cell-like phenotype, although with a slow cell division capacity in vitro. Isolated Lin(-) CD34(hi) CD117(int/hi) FcεRI(+) blood cells had an immature mast cell-like appearance and expressed high levels of many mast cell-related genes as compared with human blood basophils in whole-transcriptome microarray analyses. Furthermore, serglycin, tryptase, and carboxypeptidase A messenger RNA transcripts were detected by quantitative reverse transcription-polymerase chain reaction. Altogether, we propose that the Lin(-) CD34(hi) CD117(int/hi) FcεRI(+) blood cells are closely related to human tissue mast cells and likely constitute an immediate precursor population, which can give rise to predominantly mast cells. Furthermore, asthmatics with reduced lung function had a higher frequency of Lin(-) CD34(hi) CD117(int/hi) FcεRI(+) blood mast cell progenitors than asthmatics with normal lung function. © 2016 by The American Society of Hematology.

DESIGN OF A VISUAL INTERFACE FOR ANN BASED SYSTEMS

Directory of Open Access Journals (Sweden)

Ramazan BAYINDIR

2008-01-01

Full Text Available Artificial intelligence application methods have been used for control of many systems with parallel of technological development besides conventional control techniques. Increasing of artificial intelligence applications have required to education in this area. In this paper, computer based an artificial neural network (ANN software has been presented to learning and understanding of artificial neural networks. By means of the developed software, the training of the artificial neural network according to the inputs provided and a test action can be performed by changing the components such as iteration number, momentum factor, learning ratio, and efficiency function of the artificial neural networks. As a result of the study a visual education set has been obtained that can easily be adapted to the real time application.

Les années d’apprentissage des 'Annales révolutionnaires' (1908-1918)

NARCIS (Netherlands)

den Boer, P.

2008-01-01

Entre le passé radical et l'horizon communiste, voici les années d'apprentissage des 'Annales révolutionnaires'. En rétrospective, des révolutions de gauche eçhouées et des expériences douloureuses de défaite de 1794, de 1830, de 1848, des Quarante-huitards déçus, des Communards tués ou exilés. En

Algõpetuse peajoon ja harupedagoogikad / Sirje Piht, Elve Voltein, Anne Uusen, Inge Timoštšuk

Index Scriptorium Estoniae

2012-01-01

Intervjuu Sirje Pihti ja Anne Uuseniga Tallinna Ülikooli algõpetuse osakonnast, Elve Volteiniga Tartu Ülikooli haridusteaduste instituudi õpetajate seminarist ja Inge Timoštšukiga Tallinna Ülikooli kasvatusteaduste instituudi pedagoogilise praktika keskusest

Tagasipöördumine esteetika juurde = Return to aesthetics / Keith Moxey, Michael Ann Holly ; interv. Anu Allas

Index Scriptorium Estoniae

Moxey, Keith

2007-01-01

Ameerika kunstiajaloolased Keith Moxey ning Michael Ann Holly tutvustavad uut lähenemist kunstiajaloole (new art history). Nn. naasmine esteetika juurde tähendab püüet integreerida kunstiajalukku ja -teooriasse uuesti ja tugevamalt kunstiteos

76 FR 80392 - Notice of Inventory Completion: University of Michigan Museum of Anthropology, Ann Arbor, MI

Science.gov (United States)

2011-12-23

...: University of Michigan Museum of Anthropology, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION... Michigan officials and its Museum of Anthropology professional staff in consultation with representatives... accessioned into the Museum of Anthropology. Between 2007 and 2009 the remains were inventoried at the...

Aivar Riisalu : loomulikult läksin üle piiri ja vabandan / Aivar Riisalu ; interv. Anneli Ammas

Index Scriptorium Estoniae

Riisalu, Aivar, 1961-

2006-01-01

Aivar Riisalu selgitab oma mõtteavaldusi Kanal 2 telesaates "Top 10" ning ütleb, et temas ei ole rassivaenu. Vt. samas: Anneli Ammas, Sigrid Laev. Kaitsepolitsei võib algatada kriminaalasja; Sigrid Laev. Riisalu pääses kriminaalmenetlusest. Lisa: Riisalu avaldused "Top 10" saates

Beginning and ending of Anne Hebert's 'Burden of Dreams' : Polysemy of a journey of identity

NARCIS (Netherlands)

Lintvelt, Jaap

2007-01-01

The protagonist of Anne Hebert's Burden of Dreams (1992) goes on a journey from Quebec to Paris that contributes to the evolution of his personal and cultural identity The novel's title already tells us that "dreams" will play. a key role both on a thematic level and in shaping the reading protocol.

La decision de Anne (2009: estudio de la creación de embriones genéticamente seleccionados para la curación de pacientes crónicos

Directory of Open Access Journals (Sweden)

Ester CASILLAS SAGRADO

2016-09-01

Full Text Available La decisión de Anne/ My sister´s keeper (2009 es una película de Nick Cassavetes que cuenta la historia de Anne Fitzgerald, una niña de 11 años que fue concebida para salvar a su hermana mayor, Karen, con Leucemia Promielocítica Aguda. Cuando se le plantea la necesidad de realizar un trasplante de riñón a su hermana enferma, Anne decide demandar a sus padres sobre los derechos de su cuerpo para no tener que someterse a ese procedimiento que puede condicionar para siempre su calidad de vida. Ante esta situación la madre de Anne comienza una lucha judicial contra la menor de sus hijas en un intento de disuadirla para que realice la donación aunque esto implique seguir siendo el soporte del que dependa la supervivencia de su hermana de forma indefinida.

USING ARTIFICIAL NEURAL NETWORKS (ANNs FOR SEDIMENT LOAD FORECASTING OF TALKHEROOD RIVER MOUTH

Directory of Open Access Journals (Sweden)

Vahid Nourani

2009-01-01

Full Text Available Without a doubt the carried sediment load by a river is the most important factor in creating and formation of the related Delta in the river mouth. Therefore, accurate forecasting of the river sediment load can play a significant role for study on the river Delta. However considering the complexity and non-linearity of the phenomenon, the classic experimental or physical-based approaches usually could not handle the problem so well. In this paper, Artificial Neural Network (ANN as a non-linear black box interpolator tool is used for modeling suspended sediment load which discharges to the Talkherood river mouth, located in northern west Iran. For this purpose, observed time series of water discharge at current and previous time steps are used as the model input neurons and the model output neuron will be the forecasted sediment load at the current time step. In this way, various schemes of the ANN approach are examined in order to achieve the best network as well as the best architecture of the model. The obtained results are also compared with the results of two other classic methods (i.e., linear regression and rating curve methods in order to approve the efficiency and ability of the proposed method.

Prediction of groundwater levels from lake levels and climate data using ANN approach

OpenAIRE

Dogan, Ahmet; Demirpence, Husnu; Cobaner, Murat

2008-01-01

There are many environmental concerns relating to the quality and quantity of surface and groundwater. It is very important to estimate the quantity of water by using readily available climate data for managing water resources of the natural environment. As a case study an artificial neural network (ANN) methodology is developed for estimating the groundwater levels (upper Floridan aquifer levels) as a function of monthly averaged precipitation, evaporation, and measured levels of Magnolia an...

Paternité des articles et intérêts concurrents : une analyse des recommandations aux auteurs des journaux traitant de pratique pharmaceutique

Science.gov (United States)

Courbon, Ève; Tanguay, Cynthia; Lebel, Denis; Bussières, Jean-François

2014-01-01

RÉSUMÉ Contexte : La présence d’auteurs honorifiques et fantômes ainsi que les intérêts concurrents représentent des difficultés bien documentées, liées à la publication d’articles scientifiques. Il existe des lignes directrices encadrant la rédaction et la publication de manuscrits scientifiques, notamment celles de l’International Committee of Medical Journal Editors (ICMJE). Objectifs : L’objectif principal de cette étude descriptive et transversale visait à recenser les instructions portant sur la paternité des articles et les intérêts concurrents provenant des recommandations aux auteurs des journaux traitant de pratique pharmaceutique. L’objectif secondaire visait à déterminer des mesures correctrices pour une paternité des articles plus transparente. Méthode : La recherche a débuté par l’identification des journaux traitant de pratique pharmaceutique. La consultation des instructions aux auteurs des journaux a permis ensuite de recenser les recommandations destinées à éviter les problèmes de paternité des articles et d’intérêts concurrents. Finalement, les membres de l’équipe de recherche se sont consultés afin de définir des mesures correctrices possibles à l’intention des chercheurs. Résultats : Des 232 journaux traitant de pharmacie, 33 ont été définis comme traitant de pratique pharmaceutique. Un total de 24 (73 %) journaux mentionnaient suivre la politique de l’ICMJE, 14 (42 %) demandaient aux auteurs de remplir un formulaire de déclaration d’intérêts concurrents au moment de la soumission de l’article, 17 (52 %) présentaient une définition de la qualité d’auteur et 5 (15 %) demandaient de détailler les contributions de chaque auteur. Une grille de 40 critères a été élaborée pour définir l’attribution du statut d’auteur. Conclusion : Moins de la moitié des journaux demandait aux auteurs de transmettre un formulaire de déclaration des intérêts concurrents au moment de la

Classification of molecular structure images by using ANN, RF, LBP, HOG, and size reduction methods for early stomach cancer detection

Science.gov (United States)

Aytaç Korkmaz, Sevcan; Binol, Hamidullah

2018-03-01

Patients who die from stomach cancer are still present. Early diagnosis is crucial in reducing the mortality rate of cancer patients. Therefore, computer aided methods have been developed for early detection in this article. Stomach cancer images were obtained from Fırat University Medical Faculty Pathology Department. The Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG) features of these images are calculated. At the same time, Sammon mapping, Stochastic Neighbor Embedding (SNE), Isomap, Classical multidimensional scaling (MDS), Local Linear Embedding (LLE), Linear Discriminant Analysis (LDA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Laplacian Eigenmaps methods are used for dimensional the reduction of the features. The high dimension of these features has been reduced to lower dimensions using dimensional reduction methods. Artificial neural networks (ANN) and Random Forest (RF) classifiers were used to classify stomach cancer images with these new lower feature sizes. New medical systems have developed to measure the effects of these dimensions by obtaining features in different dimensional with dimensional reduction methods. When all the methods developed are compared, it has been found that the best accuracy results are obtained with LBP_MDS_ANN and LBP_LLE_ANN methods.

ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China

Directory of Open Access Journals (Sweden)

Chang Juan

2017-01-01

Full Text Available Precisely quantitative assessments of stream flow response to climatic change and permafrost thawing are highly challenging and urgent in cold regions. However, due to the notably harsh environmental conditions, there is little field monitoring data of runoff in permafrost regions, which has limited the development of physically based models in these regions. To identify the impacts of climate change in the runoff process in the Three-River Headwater Region (TRHR on the Qinghai-Tibet Plateau, two artificial neural network (ANN models, one with three input variables (previous runoff, air temperature, and precipitation and another with two input variables (air temperature and precipitation only, were developed to simulate and predict the runoff variation in the TRHR. The results show that the three-input variable ANN model has a superior real-time prediction capability and performs well in the simulation and forecasting of the runoff variation in the TRHR. Under the different scenarios conditions, the forecasting results of ANN model indicated that climate change has a great effect on the runoff processes in the TRHR. The results of this study are of practical significance for water resources management and the evaluation of the impacts of climatic change on the hydrological regime in long-term considerations.

Joseph Campbell, Jung, Anne Tyler, and "The Cards": The Spiritual Journey in "Searching for Caleb."

Science.gov (United States)

Thomson, Karen M.

Joseph Campbell, Carl Jung, and Anne Tyler have all dealt with spiritual journeys and card reading in their writings. In his book "Tarot Revelations," Joseph Campbell discusses his first association with tarot cards, dating from 1943, when he was introduced to the symoblism of playing cards by his friend and mentor, Heinrich Zimmer. Carl…

Fact and fiction: subverting orientalism in Ann Bridge's The dark moment

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Isil Bas

2013-12-01

Full Text Available While postcolonial criticism has extensively traced the Western women writers's accounts of the Orient, Ann Bridge's contribution to the genre remained unheard-of. In The Dark Moment she tells the story of the foundation of the Turkish republic after the struggle against Western imperialism, a theme highly controversial for a British diplomat's wife. Moreover, she plays with the conventions and representational strategies of traditional Orientalist narratives inverting each in turn to create an unprejudiced awareness of the historical context and the social and cultural specificities of Turkey and the Turk thereby foregrounding dialogical transculturality over intercultural penetration.

Kommunikatsioonijuht saab aidata arsti ja patsienti / Eda Amur, Anneli Bogens, Svea Talving, Krista Valdvee ; intervjueerinud Küllike Heide

Index Scriptorium Estoniae

2013-01-01

Meditsiinivaldkonna kommunikatsiooniga seotud küsimuste ja probleemide üle arutlevad nelja haigla kommunikatsioonijuhid: Eda Amur Pärnu haiglast, Anneli Bogens Ida-Viru keskhaiglast, Svea Talving Ida-Tallinna keskhaiglast ning Krista Valdvee Viljandi haiglast

Emerging contaminants and nutrients synergistically affect the spread of class 1 integron-integrase (intI1) and sul1 genes within stable streambed bacterial communities.

Science.gov (United States)

Subirats, Jèssica; Timoner, Xisca; Sànchez-Melsió, Alexandre; Balcázar, José Luis; Acuña, Vicenç; Sabater, Sergi; Borrego, Carles M

2018-07-01

Wastewater effluents increase the nutrient load of receiving streams while introducing a myriad of anthropogenic chemical pollutants that challenge the resident aquatic (micro)biota. Disentangling the effects of both kind of stressors and their potential interaction on the dissemination of antibiotic resistance genes in bacterial communities requires highly controlled manipulative experiments. In this work, we investigated the effects of a combined regime of nutrients (at low, medium and high concentrations) and a mixture of emerging contaminants (ciprofloxacin, erythromycin, sulfamethoxazole, diclofenac, and methylparaben) on the bacterial composition, abundance and antibiotic resistance profile of biofilms grown in artificial streams. In particular, we investigated the effect of this combined stress on genes encoding resistance to ciprofloxacin (qnrS), erythromycin (ermB), sulfamethoxazole (sul1 and sul2) as well as the class 1 integron-integrase gene (intI1). Only genes conferring resistance to sulfonamides (sul1 and sul2) and intI1 gene were detected in all treatments during the study period. Besides, bacterial communities exposed to emerging contaminants showed higher copy numbers of sul1 and intI1 genes than those not exposed, whereas nutrient amendments did not affect their abundance. However, bacterial communities exposed to both emerging contaminants and a high nutrient concentration (1, 25 and 1 mg L -1 of phosphate, nitrate and ammonium, respectively) showed the highest increase on the abundance of sul1 and intI1 genes thus suggesting a factors synergistic effect of both stressors. Since none of the treatments caused a significant change on the composition of bacterial communities, the enrichment of sul1 and intI1 genes within the community was caused by their dissemination under the combined pressure exerted by nutrients and emerging contaminants. To the best of our knowledge, this is the first study demonstrating the contribution of nutrients on

The Installation Restoration Program Toxicology Guide. Volume 1

Science.gov (United States)

1989-07-01

injury, if present, is characterized by lower back pain, painful and decreased urination, edema and weight gain (17). Parkinsonism as a consequence of...As cited in 687) 692. Melamed, E.; Lavy, S. 1977. Parkinsonism associated with chronic inhalation of carbon tetrachloride. Lancet 1:1015. 693. Simler...Partyka, E.K. 1981. Chronic dysphagia and trigeminal anesthesia after trichloroethylene exposure. Ann. Int. Med. 95:710. 110. Manson, J.M.; Murphy

489-IJBCS-Article-Toussaient Lougbegnon

African Journals Online (AJOL)

User

effet, ces espèces auraient intégré les habitudes alimentaires de ces populations lors de la sécheresse des années 80 où les terres des basses vallées seules offraient des conditions propices à ces espèces. Aujourd'hui, la consommation de ces espèces se fait sans souvenir des conditions qui l'ont engendré ; ce qui de ce ...

Des décennies de recherche sur le manioc portent fruit | IDRC ...

International Development Research Centre (IDRC) Digital Library (Canada)

28 oct. 2010 ... Le professeur Nassar a commencé à s'intéresser au manioc au début des années 1970 alors qu'il enseignait la biologie culturale africaine à l'Institute of African Studies de l'Université du Caire, en Égypte. On avait, dit-il, toutes les raisons de croire que le manioc pouvait sauver l'Afrique de la famine, qui ...

Foire aux questions: Bourse de recherche 2018 du CRDI | CRDI ...

International Development Research Centre (IDRC) Digital Library (Canada)

Vous remarquerez que d'importantes modifications ont été apportées aux critères d'admissibilité dans les deux dernières années. 2) Je suis étudiant à la maîtrise. Suis-je admissible à une bourse de recherche ? En principe oui. Toutefois, il est important de lire les spécifications du programme qui vous intéresse, car les ...

Les Cahiers du CREAD

African Journals Online (AJOL)

Admin

aux intérêts objectifs de leurs auteurs sans avoir été expressément conçue à cette fin » (Bourdieu P, (1980). Questions de sociologie, éd, Minuit, Paris, p119). De ce point de vue, notre objectif est de proposer une définition opérationnelle propre, touchant ...... les années comme critères de recrutement pour deux différents.

76 FR 73670 - Notice of Inventory Completion: University of Michigan Museum of Anthropology, Ann Arbor, MI

Science.gov (United States)

2011-11-29

...: University of Michigan Museum of Anthropology, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION... Museum of Anthropology NAGPRA collections staff in consultation with representatives of the Bay Mills... Anthropology purchased the human remains from Reverend L. P. Rowland in November of 1924 as part of a larger...

Comparative study on the predictability of statistical models (RSM and ANN) on the behavior of optimized buccoadhesive wafers containing Loratadine and their in vivo assessment.

Science.gov (United States)

Chakraborty, Prithviraj; Parcha, Versha; Chakraborty, Debarupa D; Ghosh, Amitava

2016-01-01

Buccoadhesive wafer dosage form containing Loratadine is formulated utilizing Formulation by Design (FbD) approach incorporating sodium alginate and lactose monohydrate as independent variable employing solvent casting method. The wafers were statistically optimized using Response Surface Methodology (RSM) and Artificial Neural Network algorithm (ANN) for predicting physicochemical and physico-mechanical properties of the wafers as responses. Morphologically wafers were tested using SEM. Quick disintegration of the samples was examined employing Optical Contact Angle (OCA). The comparison of the predictability of RSM and ANN showed a high prognostic capacity of RSM model over ANN model in forecasting mechanical and physicochemical properties of the wafers. The in vivo assessment of the optimized buccoadhesive wafer exhibits marked increase in bioavailability justifying the administration of Loratadine through buccal route, bypassing hepatic first pass metabolism.

Régis Boulat, Jean Fourastié, un expert en productivité. La modernisation de la France (années 1930–années 1950)

OpenAIRE

Denord, François

2011-01-01

De Jean Fourastié, beaucoup se souviennent qu’il a inventé la formule « les Trente Glorieuses ». Sa renommée aurait pu à elle seule justifier une biographie. Issu d’une thèse de doctorat d’histoire soutenue à l’université de Franche-Comté, le livre de Régis Boulat doit pourtant peu à ce genre académique. S’il rend compte de la trajectoire de Jean Fourastié, c’est comme véhicule de la notion de productivité en France entre les années 1930 et 1950. Praticien et expert de l’économie, haut foncti...

A new generalization of contra-continuity via Levine's g-closed sets

International Nuclear Information System (INIS)

Caldas, Miguel; Jafari, Saeid; Noiri, Takashi; Simoes, Marilda

2007-01-01

In [Dontchev J. Contra-continuous functions and strongly S-closed spaces. Int J Math Math Sci 1996;19:303-10], Dontchev introduced and investigated a new notion of continuity called contra-continuity. Recently, Jafari and Noiri [Jafari S, Noiri T. Contra-α-continuous functions between topological spaces. Iran Int J Sci 2001;2:153-67, Jafari S, Noiri T. Contra-super-continuous functions. Ann Univ Sci Budapest 1999;42:27-34, Jafari S, Noiri T. On contra-precontinuous functions. Bull Malaysian Math Sci Soc 2002;25(2):115-28] introduced new generalizations of contra-continuity called contra-α-continuity, contra-super-continuity and contra-precontinuity. In this paper, we introduce and investigate a generalization of contra-continuity by utilizing Levine's generalized closed sets

Plantes alimentaires d'intérêt médicinal utilisées par les Pygmées ...

African Journals Online (AJOL)

L'usage des plantes dans les thérapies traditionnelles et en alimentation est primordial pour les populations des zones tropicales en général et celles des zones forestières et principalement des Pygmées en particulier. Le présent article contribue à la connaissance des plantes alimentaires d'intérêt médicinal utilisées en ...

Christine Bard, Sylvie Chaperon (dirs), Dictionnaire des féministes. France xviiie-

OpenAIRE

Rouch, Marine

2017-01-01

Dix années auront été nécessaires pour la réalisation de cet ouvrage, véritable événement éditorial de l’année 2017 pour celles et ceux qui s’intéressent de près ou de loin au féminisme, à ses figures, à ses groupes. Comme l’indiquent Christine Bard et Sylvie Chaperon, les directrices de publication, il est désormais le premier du genre à alimenter l’« espace mémoriel immatériel du féminisme » (p. IX) et à inviter au « voyage dans le temps et l’espace du féminisme » (p. X). Il faut souligner ...

Le glaive de la parole

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Luce Marchal-Albert

2006-09-01

Full Text Available Chacun sait, selon le mot de Pierre Viret, « en quelle confusion est la Chrestienté » au xvie siècle en Europe. C’est le deuxième quart du siècle qui nous intéressera ici, et en particulier l’année 1545, qui constitue une année charnière qui voit vaciller l’Église romaine, flamber et culminer la chasse aux hérétiques en même temps qu’elle voit la jeune Église réformée se renforcer et se positionner avec succès dans un champ religieux plus que chaotique. Les ouvrages polémiques réformés écrits...

La formation de la géographie à l’époque des Empires

OpenAIRE

Clayton, Daniel

2013-01-01

Cet article est consacré au rôle joué par l’empire dans les commencements de la géographie académique en Europe et en Amérique du Nord entre les années 1880 et 1920. Les recherche révisionnistes et critiques sur cette période et sur ce problème affirment que la géographie doit être considérée comme une discipline impériale : qu’au début des années 1920, les idées et les pratiques qui étaient devenues partie intégrante de la définition que les géographes donnaient de la discipline et de l’imag...

La ville selon Babar: espace urbain et ville-modèle dans les années 1930

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Laurent GRISON

1997-03-01

Full Text Available L'analyse de deux représentations urbaines présentes dans les albums pour enfants de Jean de Brunhoff nous permet de mettre en évidence la diffusion des recherches géographiques et urbanistiques dans les années 1930.

76 FR 44947 - Notice of Intent To Repatriate Cultural Items: University of Michigan Museum of Anthropology, Ann...

Science.gov (United States)

2011-07-27

... Cultural Items: University of Michigan Museum of Anthropology, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan Museum of Anthropology, in consultation with... contact the University of Michigan Museum of Anthropology. DATES: Representatives of any Indian tribe that...

The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach.

Science.gov (United States)

Fiyadh, Seef Saadi; AlSaadi, Mohammed Abdulhakim; AlOmar, Mohamed Khalid; Fayaed, Sabah Saadi; Hama, Ako R; Bee, Sharifah; El-Shafie, Ahmed

2017-11-01

The main challenge in the lead removal simulation is the behaviour of non-linearity relationships between the process parameters. The conventional modelling technique usually deals with this problem by a linear method. The substitute modelling technique is an artificial neural network (ANN) system, and it is selected to reflect the non-linearity in the interaction among the variables in the function. Herein, synthesized deep eutectic solvents were used as a functionalized agent with carbon nanotubes as adsorbents of Pb 2+ . Different parameters were used in the adsorption study including pH (2.7 to 7), adsorbent dosage (5 to 20 mg), contact time (3 to 900 min) and Pb 2+ initial concentration (3 to 60 mg/l). The number of experimental trials to feed and train the system was 158 runs conveyed in laboratory scale. Two ANN types were designed in this work, the feed-forward back-propagation and layer recurrent; both methods are compared based on their predictive proficiency in terms of the mean square error (MSE), root mean square error, relative root mean square error, mean absolute percentage error and determination coefficient (R 2 ) based on the testing dataset. The ANN model of lead removal was subjected to accuracy determination and the results showed R 2 of 0.9956 with MSE of 1.66 × 10 -4 . The maximum relative error is 14.93% for the feed-forward back-propagation neural network model.

Spectral analysis of the IntCal98 calibration curve: a Bayesian view

International Nuclear Information System (INIS)

Palonen, V.; Tikkanen, P.

2004-01-01

Preliminary results from a Bayesian approach to find periodicities in the IntCal98 calibration curve are given. It has been shown in the literature that the discrete Fourier transform (Schuster periodogram) corresponds to the use of an approximate Bayesian model of one harmonic frequency and Gaussian noise. Advantages of the Bayesian approach include the possibility to use models for variable, attenuated and multiple frequencies, the capability to analyze unevenly spaced data and the possibility to assess the significance and uncertainties of spectral estimates. In this work, a new Bayesian model using random walk noise to take care of the trend in the data is developed. Both Bayesian models are described and the first results of the new model are reported and compared with results from straightforward discrete-Fourier-transform and maximum-entropy-method spectral analyses

Marché du carbone et solutions de gestion intégrée des déchets ...

International Development Research Centre (IDRC) Digital Library (Canada)

Marché du carbone et solutions de gestion intégrée des déchets : étude de cas menée en Indonésie. Le Mécanisme de développement propre (MDP) prévu au Protocole de Kyoto signé en 1997 a le double objectif d'aider les pays en développement à connaître un développement durable (tel que défini par chaque pays) ...

Design of an Experiment to Measure ann Using 3H(γ, pnn at HIγS★

Directory of Open Access Journals (Sweden)

Friesen F.Q.L.

2016-01-01

Full Text Available We provide an update on the development of an experiment at TUNL for determining the 1S0 neutron-neutron (nn scattering length (ann from differential cross-section measurements of three-body photodisintegration of the triton. The experiment will be conducted using a linearly polarized gamma-ray beam at the High Intensity Gamma-ray Source (HIγS and tritium gas contained in thin-walled cells. The main components of the planned experiment are a 230 Ci gas target system, a set of wire chambers and silicon strip detectors on each side of the beam axis, and an array of neutron detectors on each side beyond the silicon detectors. The protons emitted in the reaction are tracked in the wire chambers and their energy and position are measured in silicon strip detectors. The first iteration of the experiment will be simplified, making use of a collimator system, and silicon detectors to interrogate the main region of interest near 90° in the polar angle. Monte-Carlo simulations based on rigorous 3N calculations have been conducted to validate the sensitivity of the experimental setup to ann.

Intérprete, tu serás Interpreter, you will be

Directory of Open Access Journals (Sweden)

Márcia Atálla Pietroluongo

2011-12-01

Full Text Available País bilíngue, fundamental no campo dos Estudos da Tradução por suas pesquisas em Terminologia e em Tradução jurídica, o Canadá promoveu e promove inúmeras iniciativas públicas, através de seu Bureau de Traduction, dentre outros organismos, para responder às diversas necessidades nacionais internas. O presente trabalho apresentará um acórdão da Corte Suprema da Nova-Escócia, província do Canadá, conhecido na jurisprudência canadense como o Acórdão Tran (1994, importante documento que estabeleceu pela primeira vez critérios para a fundamentação da "boa interpretação" no meio judicial. Tal decisão da Corte canadense foi incorporada ao Guia para Intérpretes Judiciários, do Ministério da Justiça do Quebec - Direção Geral dos Serviços de Justiça e dos Registros (janeiro de 2001, com edição revista em 2008, traduzido e adaptado por Pierrette Richard, Intérprete Judiciária no Palácio de Justiça de Montreal, do Freelance Court Interpreter's (1995, produzido pelo Serviço de Interpretação Judiciária do Ministério do Procurador Geral de Ontario.A bilingual country, essential in the Translation Studies field for its research on Terminology and Legal Translation, Canada has promoted in the past, and still does, multiple public initiatives, through its Bureau de Traduction, among other bodies, in order to respond to its various national internal needs. This work will present an appellate decision to the Supreme Court of Nova Scotia, a Canadian province, referred in case law as the Tran Decision (1994, an important document which for the first time has set forth the criteria for the grounds of "good interpretation" in the judicial milieu. Such decision from the Canada Court was included in the Guide for Court Interpreters, issued by the Quebec Ministry of Justice - General Direction of Justice and Registration Services (January 2001, revised in 2008, translated and adapted by Pierrette Richard, Court Interpreter in

Usefulness of ANN-based model for copper removal from aqueous solutions using agro industrial waste materials

Directory of Open Access Journals (Sweden)

Petrović Marija S.

2015-01-01

Full Text Available The purpose of this study was to investigate the adsorption properties of locally available lignocelluloses biomaterials as biosorbents for the removal of copper ions from aqueous solution. Materials are generated from juice production (apricot stones and from the corn milling process (corn cob. Such solid wastes have little or no economic value and very often present a disposal problem. Using batch adsorption techniques the effects of initial Cu(II ions concentration (Ci, amount of biomass (m and volume of metal solution (V, on biosorption efficiency and capacity were studied for both materials, without any pre-treatments. The optimal parameters for both biosorbents were selected depending on a highest sorption capability of biosorbent, in removal of Cu(II. Experimental data were compared with second order polynomial regression models (SOPs and artificial neural networks (ANNs. SOPs showed acceptable coefficients of determination (0.842 - 0.997, while ANNs performed high prediction accuracy (0.980-0.986 in comparison to experimental results. [Projekat Ministarstva nauke Republike Srbije, br. TR 31003, TR 31055

Intérprete de libras em atuação na Educação Infantil e no Ensino Fundamental

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Simone Ferreira Conforto

2017-02-01

Full Text Available Neste texto bastante instigante, a autora nos traz uma grande reflexão do que seria a interpretação/ tradução fazendo uma comparação entre este dois campos. Assim, em relação à interpretação traduzir não é apenas trocar de uma língua para outra, é fundamental definir os sentidos do que se quer e deseja traduzir. Outros autores porém se referem à interpretação e tradução como sendo duas tarefas distintas e na verdade, traduzir é versar de uma língua para outra e interpretar envolveria relações pessoais. Para a autora, na verdade, o que acontece é que o intérprete se envolve em relações sociais e diálogos face a face. Então, o tradutor/intérprete precisa sempre agir com rapidez em suas escolhas e não tem como refletir, sobre o que está interpretando.

AVIS AUX PASSIONNES... - French version only

CERN Multimedia

2002-01-01

Les anémones du CERN seront bientôt orphelines. Nous recherchons une personne volontaire pour s'occuper de l'aquarium situé au bâtiment principal, pour une durée d'une année. Si vous êtes intéressé, ou si vous voulez plus d'information, téléphonez au 73830 (les anémones vivant dans l'aquarium vous remercient beaucoup d'avance).

Synthesis and characterization of Cu3TaIn3Se7 and CuTa2InTe4

International Nuclear Information System (INIS)

Calderon, E.; Munoz-Pinto, M.; Duran-Pina, S.; Quintero, M.; Quintero, E.; Morocoima, M.; Delgado, G.E.; Romero, H.; Briceno, J.M.; Fernandez, J.; Grima-Gallardo, P.

2008-01-01

Polycrystalline samples of Cu 3 TaIn 3 Se 7 and CuTa 2 InTe 4 were synthesized by the usual melt and anneal technique. X-ray powder diffraction showed a single phase behavior for both samples with tetragonal symmetry and unit cell parameter values a=5.794±0.002 A, c=11.66±0.01 A, c/a=2.01, V=391±1 A 3 and a=6.193±0.001 A, c=12.400 ±0.002A, c/a=2.00, V=475±1 A 3 , respectively. Differential thermal analysis (DTA) measurements suggested a complicated behavior near the melting point with several thermal transitions observed in the heating and cooling runs. From the shape of the DTA peaks it was deduced that the melting is incongruent for both materials. Magnetic susceptibility measurements (zero-field cooling and field cooling) indicated an antiferromagnetic character with transition temperatures of T=70 K (Cu 3 TaIn 3 Se 7 ) and 42 K (CuTa 2 InTe 4 ). A spin-glass transition was observed in Cu 3 TaIn 3 Se 7 with T f ∼50 K. (copyright 2008 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (orig.)

Host Factors Influencing the Retrohoming Pathway of Group II Intron RmInt1, Which Has an Intron-Encoded Protein Naturally Devoid of Endonuclease Activity.

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Rafael Nisa-Martínez

Full Text Available Bacterial group II introns are self-splicing catalytic RNAs and mobile retroelements that have an open reading frame encoding an intron-encoded protein (IEP with reverse transcriptase (RT and RNA splicing or maturase activity. Some IEPs carry a DNA endonuclease (En domain, which is required to cleave the bottom strand downstream from the intron-insertion site for target DNA-primed reverse transcription (TPRT of the inserted intron RNA. Host factors complete the insertion of the intron. By contrast, the major retrohoming pathway of introns with IEPs naturally lacking endonuclease activity, like the Sinorhizobium meliloti intron RmInt1, is thought to involve insertion of the intron RNA into the template for lagging strand DNA synthesis ahead of the replication fork, with possible use of the nascent strand to prime reverse transcription of the intron RNA. The host factors influencing the retrohoming pathway of such introns have not yet been described. Here, we identify key candidates likely to be involved in early and late steps of RmInt1 retrohoming. Some of these host factors are common to En+ group II intron retrohoming, but some have different functions. Our results also suggest that the retrohoming process of RmInt1 may be less dependent on the intracellular free Mg2+ concentration than those of other group II introns.

Los intérpretes generales de Yucatán: hombres entre dos mundos

Directory of Open Access Journals (Sweden)

Mark Lentz

2009-01-01

Full Text Available Este artículo se centra en un tipo importante de intermediarios en el Yucatán colonial, los intérpretes generales del Juzgado Privado de Indios de Yucatán. Desde la época de Gaspar Antonio Chi en 1580 hasta la desaparición de esta corte en la década de 1820, estos hombres mediaron directamente en disputas de propiedades, quejas contra las autoridades, y tradujeron decretos inicialmente publicados en español para la mayoría maya hablante de la provincia. Sus actividades demuestran que Yucatán poseyó un alto número de individuos que dominaron tanto el maya como el español hasta finales del periodo colonial. Además, la cantidad de individuos calificados sirviendo extra oficial mente como intérpretes durante finales del siglo dieciocho, y el sorprendente número de no-mayas que necesitaron sus servicios, muestran también que el periodo colonial fue una época en la que el maya se extendió como lenguaje predominante en Yucatán, en lugar de una época de declive para ese idioma.This paper focuses one type of important intermediaries of colonial Yucatan, the general interpreters of Yucatan's Juzgado Privado de Indios. From the time of Gaspar Antonio Chi in 1580 until the demise of this court in the 1820s, these men mediated directly in land disputes, complaints against priests and other officials, and translated decrees initially published in Spanish for the province's Maya-speaking majority. The activities of the interpreters demonstrate that Yucatan had a high number of individuals literate and fluent in both Maya and Spanish until the close of the colonial period. Furthermore, the quantity of qualified individuals serving unofficially as interpreters during the late eighteenth century and the surprising number of non-Mayas in need of their services also shows that the colonial period was a time in which Maya spread as the predominant language of Yucatan rather than a time of decline for the region's native language.

Contribution à l'étude de la gestion intégrée de la fertilité du sol pour ...

African Journals Online (AJOL)

Contribution à l'étude de la gestion intégrée de la fertilité du sol pour la culture de maïs (Zea mays) dans la Région de Mbujimayi, RDC. Michel Nkongolo Mulambuila, Jean Michel Mutombo Tshibamba, Justin Cibanda Mutombo, Pierrot Muka Mulamba, Thèrese Masengu Tshibuyi, Grégoire Tshibangu Kabongo ...

Une Nouvelle Forme d’Autobiographie dans Les Années d’Annie Ernaux: Autobiographie Impersonnelle

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Seçil Yücedağ

2017-12-01

Full Text Available Annie Ernaux, considérée comme l’une des femmes écrivaines les plus célèbres du XXIe siècle, a exprimé l’angoisse commune de son âge et de son passé en rédigeant Les Années. Elle n’avait pas non seulement le but de décrire sa vie, mais aussi d’esquisser l’histoire de la société française à laquelle elle appartient. Lorsqu’elle est venue au monde en 1940, le monde était au seuil de la Seconde Guerre mondiale. Etant élevée dans cette atmosphère chaotique, elle a appris beaucoup de choses de sa société, de sa famille et de son environnement. Annie Ernaux a découvert le monde comme une jeune fille, une mère, une épouse et une grand-mère. Ses expériences sociales et familiales l’ont beaucoup mûrie et elle a commencé à rédiger ses pensées. Ses souvenirs ont fait partie de ses écritures autobiographiques. Dans Les Années, Annie Ernaux a profité de toutes ses expériences personnelles et sociales avec de différents moyens. Elle a essayé d’établir des liens entre l’histoire de sa vie et celle de la société. Elle a accordé une importance à la vie sociale plutôt que sa propre vie dans Les Années. Elle y a développé des propres techniques d’écriture en se servant des photos familiales et personnelles, d’un film, d’une vidéo, des marques de publicité, des chansons, d’un tableau, des notes de journal ainsi que des événements sociologiques et historiques. Elle a ainsi créé une nouvelle forme d’autobiographie : autobiographie impersonnelle.

降雨が流出に影響を及ぼす日数のANN^※を利用した推測

OpenAIRE

山田, 幸寿; 四俵, 正俊

2000-01-01

Groundwater runoff is originated from the rain of the past. The influential period of rain on groundwater runoff is said to be from one month to one year. The authors carried out long term runoff estimation for Shonai River Basin, Chubu, Japan by means of artificial neural networks (ANN). The period of strong influence of rain on the runoff was sought by comparing the accuracy of estimations with various periods of rain used as inputs of ANN. One month was found probable as the influential pe...

Prediction of moving bed biofilm reactor (MBBR) performance for the treatment of aniline using artificial neural networks (ANN)

Energy Technology Data Exchange (ETDEWEB)

Delnavaz, M. [Tarbiat Modares University, Civil Engineering Department, Environmental Engineering Division, Tehran (Iran, Islamic Republic of); Ayati, B., E-mail: ayati_bi@modares.ac.ir [Tarbiat Modares University, Civil Engineering Department, Environmental Engineering Division, Tehran (Iran, Islamic Republic of); Ganjidoust, H. [Tarbiat Modares University, Civil Engineering Department, Environmental Engineering Division, Tehran (Iran, Islamic Republic of)

2010-07-15

In this study, the results of 1-year efficiency forecasting using artificial neural networks (ANN) models of a moving bed biofilm reactor (MBBR) for a toxic and hard biodegradable aniline removal were investigated. The reactor was operated in an aerobic batch and continuous condition with 50% by volume which was filled with light expanded clay aggregate (LECA) as carrier. Efficiency evaluation of the reactors was obtained at different retention time (RT) of 8, 24, 48 and 72 h with an influent COD from 100 to 4000 mg/L. Exploratory data analysis was used to detect relationships between the data and dependent evaluated one. The appropriate architecture of the neural network models was determined using several steps of training and testing of the models. The ANN-based models were found to provide an efficient and a robust tool in predicting MBBR performance for treating aromatic amine compounds.

Assessing the Long Term Impact of Phosphorus Fertilization on Phosphorus Loadings Using AnnAGNPS

OpenAIRE

Yuan, Yongping; Bingner, Ronald L.; Locke, Martin A.; Stafford, Jim; Theurer, Fred D.

2011-01-01

High phosphorus (P) loss from agricultural fields has been an environmental concern because of potential water quality problems in streams and lakes. To better understand the process of P loss and evaluate the effects of different phosphorus fertilization rates on phosphorus losses, the USDA Annualized AGricultural Non-Point Source (AnnAGNPS) pollutant loading model was applied to the Ohio Upper Auglaize watershed, located in the southern portion of the Maumee River Basin. In this study, the ...

FE-ANN based modeling of 3D Simple Reinforced Concrete Girders for Objective Structural Health Evaluation : Tech Transfer Summary

Science.gov (United States)

2017-06-01

The objective of this study was to develop an objective, quantitative method for evaluating damage to bridge girders by using artificial neural networks (ANNs). This evaluation method, which is a supplement to visual inspection, requires only the res...

Optimal factor evaluation for the dissolution of alumina from Azaraegbelu clay in acid solution using RSM and ANN comparative analysis

Directory of Open Access Journals (Sweden)

P.E. Ohale

2017-12-01

Full Text Available Artificial neural network (ANN and Response Surface Methodology based on a 25−1 fractional factorial design were used as tools for simulation and optimisation of the dissolution process for Azaraegbelu clay. A feedforward neural network model with Levenberg–Marquard back propagating training algorithm was adapted to predict the response (alumina yield. The studied input variables were temperature, stirring speed, clay to acid dosage, leaching time and leachant concentration. The raw clay was characterized for structure elucidation via FTIR, SEM and X-ray diffraction spectroscopic techniques and the result indicates that the clay is predominantly kaolinite. Leachant concentration and dosage ratio were found to be the most significant process parameter with p-value of 0.0001. The performance of the ANN and RSM model showed adequate prediction of the response, with AAD of 11.6% and 3.6%, and R2 of 0.9733 and 0.9568, respectively. A non-dominated optimal response of 81.45% yield of alumina at 4.6 M sulphuric acid concentration, 214 min leaching time, 0.085 g/ml dosage and 214 rpm stirring speed was established as a viable route for reduced material and operating cost via RSM. Keywords: Alumina dissolution, ANN modelling, Azaraegbelu, Clay, RSM

Prediction of shear and tensile strength of the diffusion bonded AA5083 and AA7075 aluminium alloy using ANN

International Nuclear Information System (INIS)

Sagai Francis Britto, A.; Raj, R. Edwin; Mabel, M. Carolin

2017-01-01

Diffusion bonding is a pressure welding technique to establish bonds by inter diffusion of atoms. Bonding characteristics were generated by varying the significant process conditions such as the bonding temperature, the pressing load and the duration of pressure while bonding the aluminium alloys AA5083 and AA7075. Deriving analytical correlation with the process variables to weld strength is quite involved due to the non-linear dependency of the process variables with the mechanical strength of the joints. An arbitrary function approximation mechanism, the artificial neural network (ANN) is therefore employed to develop the models for predicting the mechanical properties of the bonded joints. Back propagation technique, which alters the network weights to minimize the mean square error was used to develop the ANN models. The models were tested, validated and found to be satisfactory with good prediction accuracy.

Prediction of shear and tensile strength of the diffusion bonded AA5083 and AA7075 aluminium alloy using ANN

Energy Technology Data Exchange (ETDEWEB)

Sagai Francis Britto, A. [Department of Mechanical Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India); Raj, R. Edwin, E-mail: redwinraj@gmail.com [Department of Mechanical Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India); Mabel, M. Carolin [Department of Electrical and Electronics Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India)

2017-04-24

Diffusion bonding is a pressure welding technique to establish bonds by inter diffusion of atoms. Bonding characteristics were generated by varying the significant process conditions such as the bonding temperature, the pressing load and the duration of pressure while bonding the aluminium alloys AA5083 and AA7075. Deriving analytical correlation with the process variables to weld strength is quite involved due to the non-linear dependency of the process variables with the mechanical strength of the joints. An arbitrary function approximation mechanism, the artificial neural network (ANN) is therefore employed to develop the models for predicting the mechanical properties of the bonded joints. Back propagation technique, which alters the network weights to minimize the mean square error was used to develop the ANN models. The models were tested, validated and found to be satisfactory with good prediction accuracy.

The Short Fiction of Bobbie Ann Mason: Silent Voices, Silenced Voices, Voicing Silence.

OpenAIRE

Delgado Marín, Candela

2015-01-01

La presente tesis doctoral se enmarca dentro del campo de los estudios norteamericanos, centrándose en el relato breve de la escritora sureña Bobbie Ann Mason. El título de este proyecto apunta al foco de la investigación: el silencio. He utilizado tres puntos de vista diferentes para examinar los cuentos de esta escritora: el contexto socio-cultural, estudios comparativos literarios y teóricos y, por último, el análisis textual de su narrativa. Considero la producción literaria de Bobbie ...

Les relations économiques États-Unis / Amérique latine pendant les années Bush : la nouvelle donne Economic Relations between the United States and Latin America in the Bush Years: Changing Course

Directory of Open Access Journals (Sweden)

Martine Azuelos

2010-03-01

Full Text Available Alors que l’élection de George B. Bush à la présidence des États-Unis avait pu autoriser certains à nourrir l’espoir d’une relance du processus d’intégration économique entre l’Amérique latine et l’Amérique du Nord, le bilan de ces huit années est mitigé et bien des incertitudes pesaient sur l’avenir de ce processus au moment de l’entrée en fonction de Barack Obama. Pour éclairer cette évolution, l’article replace les années Bush dans le contexte du recentrage sur la dimension économique de la relation qui fut consécutif à la fin de la guerre froide. La première partie, fondée sur l’étude des données chiffrées disponibles concernant les échanges commerciaux et des mouvements de capitaux, met en évidence une progression en trompe l’œil de ces flux, suggérant un désintérêt relatif des États-Unis pour leur traditionnelle arrière-cour. Pour rendre compte de cette nouvelle donne, la seconde partie revient sur le cadre géopolitique et géoéconomique dans laquelle s’inscrit la relation à partir de 2001.While George W. Bush’s election had promised to revive the drive towards further economic integration in the Americas, as he was leaving office eight years later the achievements of his presidency seemed rather mixed and the future of U.S.-Latin America relations uncertain. To shed light on this turnaround, this paper sets the Bush years in the wider context of post-Cold War renewed U.S. emphasis on the economic dimension of its relationship to Latin America. The first part, which focuses on quantitative data, concludes that although two-way trade and capital flows did grow significantly between 2000 and 2007, the momentum of the 1990s was largely lost. In an attempt to account for this trend, the second part focuses on the geopolitical and geoeconomic background which led to the United States’ relations with Latin America taking a new direction after 2001.

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review.

Science.gov (United States)

Fusco, Roberta; Sansone, Mario; Filice, Salvatore; Carone, Guglielmo; Amato, Daniela Maria; Sansone, Carlo; Petrillo, Antonella

2016-01-01

We performed a systematic review of several pattern analysis approaches for classifying breast lesions using dynamic, morphological, and textural features in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Several machine learning approaches, namely artificial neural networks (ANN), support vector machines (SVM), linear discriminant analysis (LDA), tree-based classifiers (TC), and Bayesian classifiers (BC), and features used for classification are described. The findings of a systematic review of 26 studies are presented. The sensitivity and specificity are respectively 91 and 83 % for ANN, 85 and 82 % for SVM, 96 and 85 % for LDA, 92 and 87 % for TC, and 82 and 85 % for BC. The sensitivity and specificity are respectively 82 and 74 % for dynamic features, 93 and 60 % for morphological features, 88 and 81 % for textural features, 95 and 86 % for a combination of dynamic and morphological features, and 88 and 84 % for a combination of dynamic, morphological, and other features. LDA and TC have the best performance. A combination of dynamic and morphological features gives the best performance.

Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?

Science.gov (United States)

Balabin, Roman M; Lomakina, Ekaterina I

2011-06-28

A multilayer feed-forward artificial neural network (MLP-ANN) with a single, hidden layer that contains a finite number of neurons can be regarded as a universal non-linear approximator. Today, the ANN method and linear regression (MLR) model are widely used for quantum chemistry (QC) data analysis (e.g., thermochemistry) to improve their accuracy (e.g., Gaussian G2-G4, B3LYP/B3-LYP, X1, or W1 theoretical methods). In this study, an alternative approach based on support vector machines (SVMs) is used, the least squares support vector machine (LS-SVM) regression. It has been applied to ab initio (first principle) and density functional theory (DFT) quantum chemistry data. So, QC + SVM methodology is an alternative to QC + ANN one. The task of the study was to estimate the Møller-Plesset (MPn) or DFT (B3LYP, BLYP, BMK) energies calculated with large basis sets (e.g., 6-311G(3df,3pd)) using smaller ones (6-311G, 6-311G*, 6-311G**) plus molecular descriptors. A molecular set (BRM-208) containing a total of 208 organic molecules was constructed and used for the LS-SVM training, cross-validation, and testing. MP2, MP3, MP4(DQ), MP4(SDQ), and MP4/MP4(SDTQ) ab initio methods were tested. Hartree-Fock (HF/SCF) results were also reported for comparison. Furthermore, constitutional (CD: total number of atoms and mole fractions of different atoms) and quantum-chemical (QD: HOMO-LUMO gap, dipole moment, average polarizability, and quadrupole moment) molecular descriptors were used for the building of the LS-SVM calibration model. Prediction accuracies (MADs) of 1.62 ± 0.51 and 0.85 ± 0.24 kcal mol(-1) (1 kcal mol(-1) = 4.184 kJ mol(-1)) were reached for SVM-based approximations of ab initio and DFT energies, respectively. The LS-SVM model was more accurate than the MLR model. A comparison with the artificial neural network approach shows that the accuracy of the LS-SVM method is similar to the accuracy of ANN. The extrapolation and interpolation results show that LS-SVM is

Valorization of aquaculture waste in removal of cadmium from aqueous solution: optimization by kinetics and ANN analysis

Science.gov (United States)

Aditya, Gautam; Hossain, Asif

2018-05-01

Cadmium is one of the most hazardous heavy metal concerning human health and aquatic pollution. The removal of cadmium through biosorption is a feasible option for restoration of the ecosystem health of the contaminated freshwater ecosystems. In compliance with this proposition and considering the efficiency of calcium carbonate as biosorbent, the shell dust of the economically important snail Bellamya bengalensis was tested for the removal of cadmium from aqueous medium. Following use of the flesh as a cheap source of protein, the shells of B. bengalensis made up of CaCO3 are discarded as aquaculture waste. The biosorption was assessed through batch sorption studies along with studies to characterize the morphology and surface structures of waste shell dust. The data on the biosorption were subjected to the artificial neural network (ANN) model for optimization of the process. The biosorption process changed as functions of pH of the solution, concentration of heavy metal, biomass of the adsorbent and time of exposure. The kinetic process was well represented by pseudo second order ( R 2 = 0.998), and Langmuir equilibrium ( R 2 = 0.995) had better fits in the equilibrium process with 30.33 mg g-1 of maximum sorption capacity. The regression equation ( R 2 = 0.948) in the ANN model supports predicted values of Cd removal satisfactorily. The normalized importance analysis in ANN predicts Cd2+ concentration, and pH has the most influence in removal than biomass dose and time. The SEM and EDX studies show clear peaks for Cd confirming the biosorption process while the FTIR study depicts the main functional groups (-OH, C-H, C=O, C=C) responsible for the biosorption process. The study indicated that the waste shell dust can be used as an efficient, low cost, environment friendly, sustainable adsorbent for the removal of cadmium from aqueous solution.

Biosurfactant-biopolymer driven microbial enhanced oil recovery (MEOR) and its optimization by an ANN-GA hybrid technique.

Science.gov (United States)

Dhanarajan, Gunaseelan; Rangarajan, Vivek; Bandi, Chandrakanth; Dixit, Abhivyakti; Das, Susmita; Ale, Kranthikiran; Sen, Ramkrishna

2017-08-20

A lipopeptide biosurfactant produced by marine Bacillus megaterium and a biopolymer produced by thermophilic Bacillus licheniformis were tested for their application potential in the enhanced oil recovery. The crude biosurfactant obtained after acid precipitation effectively reduced the surface tension of deionized water from 70.5 to 28.25mN/m and the interfacial tension between lube oil and water from 18.6 to 1.5mN/m at a concentration of 250mgL -1 . The biosurfactant exhibited a maximum emulsification activity (E 24 ) of 81.66% against lube oil. The lipopeptide micelles were stabilized by addition of Ca 2+ ions to the biosurfactant solution. The oil recovery efficiency of Ca 2+ conditioned lipopeptide solution from a sand-packed column was optimized by using artificial neural network (ANN) modelling coupled with genetic algorithm (GA) optimization. Three important parameters namely lipopeptide concentration, Ca 2+ concentration and solution pH were considered for optimization studies. In order to further improve the recovery efficiency, a water soluble biopolymer produced by Bacillus licheniformis was used as a flooding agent after biosurfactant incubation. Upon ANN-GA optimization, 45% tertiary oil recovery was achieved, when biopolymer at a concentration of 3gL -1 was used as a flooding agent. Oil recovery was only 29% at optimal conditions predicted by ANN-GA, when only water was used as flooding solution. The important characteristics of biopolymers such as its viscosity, pore plugging capabilities and bio-cementing ability have also been tested. Thus, as a result of biosurfactant incubation and biopolymer flooding under the optimal process conditions, a maximum oil recovery of 45% was achieved. Therefore, this study is novel, timely and interesting for it showed the combined influence of biosurfactant and biopolymer on solubilisation and mobilization of oil from the soil. Copyright © 2017 Elsevier B.V. All rights reserved.

Wives, love and animals: themes in the Poetry of Adrienne Rich and Carol Ann Duffy

Directory of Open Access Journals (Sweden)

Eleonora Rao

2013-10-01

Full Text Available This paper discusses firstly, the  poetical space of celebrated American poet Adrienne Rich who died in March 2012, at the age of 82. The analysis focuses on Rich’s complex  figurations of female subjectivity as well as on her nuanced positions in relation to the public role of the poet today. Rich’s attention to the political dimension did not exclude intimate reflections on personal relationships and on their modalities. In this respect her poetry is close to another important lesbian author, the poet laureate Coral Ann Duffy. In The World’s Wife (1999, Carol Ann Duffy presents thirty sketches of famed men from both history and mythology by their wives. Each wife extols or criticizes her own husband in a combination of sarcasm and sentimentalism, with peaks of  extreme bitterness and self-pity. Such singular and irreverent feminine versions show a series of references to the animal world. As a matter of fact, Duffy creates a downright vast and varied bestiary, which focuses on the problematic association between the female and the animal body. The aim of this essay is to explore the multiple possibilities of representation and placement of the human body in the space, through the lenses of ecocriticism and posthumanism.

Prediction of Chl-a concentrations in an eutrophic lake using ANN models with hybrid inputs

Science.gov (United States)

Aksoy, A.; Yuzugullu, O.

2017-12-01

Chlorophyll-a (Chl-a) concentrations in water bodies exhibit both spatial and temporal variations. As a result, frequent sampling is required with higher number of samples. This motivates the use of remote sensing as a monitoring tool. Yet, prediction performances of models that convert radiance values into Chl-a concentrations can be poor in shallow lakes. In this study, Chl-a concentrations in Lake Eymir, a shallow eutrophic lake in Ankara (Turkey), are determined using artificial neural network (ANN) models that use hybrid inputs composed of water quality and meteorological data as well as remotely sensed radiance values to improve prediction performance. Following a screening based on multi-collinearity and principal component analysis (PCA), dissolved-oxygen concentration (DO), pH, turbidity, and humidity were selected among several parameters as the constituents of the hybrid input dataset. Radiance values were obtained from QuickBird-2 satellite. Conversion of the hybrid input into Chl-a concentrations were studied for two different periods in the lake. ANN models were successful in predicting Chl-a concentrations. Yet, prediction performance declined for low Chl-a concentrations in the lake. In general, models with hybrid inputs were superior over the ones that solely used remotely sensed data.

Modeling of policies for reduction of GHG emissions in energy sector using ANN: case study-Croatia (EU).

Science.gov (United States)

Bolanča, Tomislav; Strahovnik, Tomislav; Ukić, Šime; Stankov, Mirjana Novak; Rogošić, Marko

2017-07-01

This study describes the development of tool for testing different policies for reduction of greenhouse gas (GHG) emissions in energy sector using artificial neural networks (ANNs). The case study of Croatia was elaborated. Two different energy consumption scenarios were used as a base for calculations and predictions of GHG emissions: the business as usual (BAU) scenario and sustainable scenario. Both of them are based on predicted energy consumption using different growth rates; the growth rates within the second scenario resulted from the implementation of corresponding energy efficiency measures in final energy consumption and increasing share of renewable energy sources. Both ANN architecture and training methodology were optimized to produce network that was able to successfully describe the existing data and to achieve reliable prediction of emissions in a forward time sense. The BAU scenario was found to produce continuously increasing emissions of all GHGs. The sustainable scenario was found to decrease the GHG emission levels of all gases with respect to BAU. The observed decrease was attributed to the group of measures termed the reduction of final energy consumption through energy efficiency measures.

Satellite image analysis and a hybrid ESSS/ANN model to forecast solar irradiance in the tropics

International Nuclear Information System (INIS)

Dong, Zibo; Yang, Dazhi; Reindl, Thomas; Walsh, Wilfred M.

2014-01-01

Highlights: • Satellite image analysis is performed and cloud cover index is classified using self-organizing maps (SOM). • The ESSS model is used to forecast cloud cover index. • Solar irradiance is estimated using multi-layer perceptron (MLP). • The proposed model shows better accuracy than other investigated models. - Abstract: We forecast hourly solar irradiance time series using satellite image analysis and a hybrid exponential smoothing state space (ESSS) model together with artificial neural networks (ANN). Since cloud cover is the major factor affecting solar irradiance, cloud detection and classification are crucial to forecast solar irradiance. Geostationary satellite images provide cloud information, allowing a cloud cover index to be derived and analysed using self-organizing maps (SOM). Owing to the stochastic nature of cloud generation in tropical regions, the ESSS model is used to forecast cloud cover index. Among different models applied in ANN, we favour the multi-layer perceptron (MLP) to derive solar irradiance based on the cloud cover index. This hybrid model has been used to forecast hourly solar irradiance in Singapore and the technique is found to outperform traditional forecasting models

A Historical Analysis of Media Practices and Technologies in Protest Movements: A Review of Crisis and Critique by Anne Kaun

Directory of Open Access Journals (Sweden)

Anne Laajalahti

2017-05-01

Full Text Available Dr. Anne Kaun’s book, Crisis and Critique: A Brief History of Media Participation in Times of Crisis (London: Zed Books, 2016, 131 pp., ISBN: 978-1-78360-736-5, is a concise but comprehensive analysis of the changing media practices and technologies in protest movements. The book overviews the topic within the context of major economic crises and scrutinises three richly detailed case studies in the United States: (a the unemployed workers’ movement during the Great Depression in the 1930s, (b the tenants’ rent strike movement of the early 1970s, and (c the Occupy Wall Street movement following the Great Recession of 2008. Kaun begins her book with an introduction to economic crises and protest movements and highlights the relationship of crisis and critique to media practices. She goes on to investigate historical forms of media participation in protest movements from three different perspectives: (a protest time, (b protest space, and (c protest speed. The book contributes to the recent discussion on the emerging role of social media in protest by providing a historically nuanced analysis of the media participation in times of crisis. As a whole, the book is valuable to anyone interested in media and social activism.

Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM and Artificial Neural Network (ANN

Directory of Open Access Journals (Sweden)

Maria Grazia De Giorgi

2014-08-01

Full Text Available A high penetration of wind energy into the electricity market requires a parallel development of efficient wind power forecasting models. Different hybrid forecasting methods were applied to wind power prediction, using historical data and numerical weather predictions (NWP. A comparative study was carried out for the prediction of the power production of a wind farm located in complex terrain. The performances of Least-Squares Support Vector Machine (LS-SVM with Wavelet Decomposition (WD were evaluated at different time horizons and compared to hybrid Artificial Neural Network (ANN-based methods. It is acknowledged that hybrid methods based on LS-SVM with WD mostly outperform other methods. A decomposition of the commonly known root mean square error was beneficial for a better understanding of the origin of the differences between prediction and measurement and to compare the accuracy of the different models. A sensitivity analysis was also carried out in order to underline the impact that each input had in the network training process for ANN. In the case of ANN with the WD technique, the sensitivity analysis was repeated on each component obtained by the decomposition.

Tandem Paul ja Anne Daniela Rodgers, Kaunase modernistid ja arenev Meiu Münt / Juta Kivimäe

Index Scriptorium Estoniae

Kivimäe, Juta, 1952-

2006-01-01

Kuni 23. IV Tartu Kunstimuuseumis avatud Paul ja Anne Daniela Rodgersi näitusest. 15. II-13. III Tartu kaheksas galeriis avatud Kaunase kunstnike näitusest, Arvidas Zhalpyse installatsioonist "Kõik toolist" ja Agne Jonkute maalist "Olematuse faktid" Tartu Kunstimajas. Kuni 25. III G-galeriis avatud Meiu Mündi näitusest "Päev on pime"

A soft computing scheme incorporating ANN and MOV energy in fault detection, classification and distance estimation of EHV transmission line with FSC.

Science.gov (United States)

Khadke, Piyush; Patne, Nita; Singh, Arvind; Shinde, Gulab

2016-01-01

In this article, a novel and accurate scheme for fault detection, classification and fault distance estimation for a fixed series compensated transmission line is proposed. The proposed scheme is based on artificial neural network (ANN) and metal oxide varistor (MOV) energy, employing Levenberg-Marquardt training algorithm. The novelty of this scheme is the use of MOV energy signals of fixed series capacitors (FSC) as input to train the ANN. Such approach has never been used in any earlier fault analysis algorithms in the last few decades. Proposed scheme uses only single end measurement energy signals of MOV in all the 3 phases over one cycle duration from the occurrence of a fault. Thereafter, these MOV energy signals are fed as input to ANN for fault distance estimation. Feasibility and reliability of the proposed scheme have been evaluated for all ten types of fault in test power system model at different fault inception angles over numerous fault locations. Real transmission system parameters of 3-phase 400 kV Wardha-Aurangabad transmission line (400 km) with 40 % FSC at Power Grid Wardha Substation, India is considered for this research. Extensive simulation experiments show that the proposed scheme provides quite accurate results which demonstrate complete protection scheme with high accuracy, simplicity and robustness.

Comments on ``Anonymous Reviews'' An Editor's View of Anonymous Reviews

Science.gov (United States)

Goff, John A.

I have read with great interest the recent Forum commentaries in Eos by Myrl Beck, Charles Robinove, Robert Criss, and Anne Hofmeister regarding anonymous reviews. I heartily support their position that anonymous reviews should be avoided. I have not written an anonymous review in ages (and regret the few that I did), and have always appreciated and respected greatly anyone who signs a critical review of one of my own papers. However, I would like to add some perspective from the editorial standpoint. I have served as JGR associate editor for 3 years (never anonymously!), and as Eos editor for seismology and tectonophysics for 4. Over the years, I have rejected a fair number of papers, most of those based on anonymous reviews (fortunately, none of the above commentators was one of them). The vast majority of anonymous reviews I received were well considered. While I would wish that all reviews were signed, I don't think we can summarily dismiss the fear that many would have of enmity and reprisal over a critical review. Some of these fears are likely justified. On more than one occasion, have I witnessed overly aggressive responses on the part of authors to anonymous reviews that I considered to be entirely fair and constructive in their criticisms. I do think we need to do all we can to discourage anonymous reviews, but it will be difficult to completely remove that choice from the process.

Preliminary results on σZ and τint fluctuations as a function of incident energy in dissipative heavy ion collisions

International Nuclear Information System (INIS)

Berceanu, I.; Andronic, A.; Duma, M.

1998-01-01

Non-statistical fluctuations in the excitation functions (EF) of dissipative heavy ion collisions (DHIC) was rather unexpected due to the fact that cross sections are always obtained on a 'coarse cell' of TKEL and θ cm . The contribution of a large number of microchannels, N, is expected to attenuate the amplitude of such fluctuations as σ(E) has a χ 2 distribution with 2N degrees of freedom. In the framework of the Partially Overlapping Molecular Levels the observation of the fluctuations of the cross section as a function of the incident energy is explained by the fact that the levels of the dinuclear system formed in the first stage of a dissipative process are excited in a region of low density situated in the vicinity of the yrast line. The time evolution of dinuclear (DNS) system with different mass asymmetries with the total mass of the nuclear system 19 F + 27 Al system configuration and its time evolution, the excitation function for this system has been measured between 111.4 MeV and 136.9 MeV with a 250 keV energy step. Fluctuations with amplitude larger than the statistical errors were observed. Large Z and angular cross correlation coefficients show their nonstatistical nature. An average energy correlation width of 170±65 keV, to which corresponds a DNS lifetime τ int (3.9 ± 1.1)·10 -21 s, was obtained by the energy autocorrelation function (EAF). The experimental EAF secondary structure period agrees with that predicted by Kun model when the deformation of the outgoing fragments is taken into account. To get more insight in the reaction mechanism, the dependence of the charge distribution variance for two total kinetic energy loss windows, W1 = 20 ± 2.5 and W2 = 30 ± 2.5 MeV, was obtained as a function of E lab . The second moments of the experimental charge distributions have been calculated and the obtained values were represented for W1 and W2. Fluctuations with quite large amplitude are present. In a transport approach of deep inelastic

A biopsychosocial approach to women’s sexual function and dysfunction at midlife: A narrative review

OpenAIRE

Thomas, Holly N.; Thurston, Rebecca C.

2016-01-01

A satisfying sex life is an important component of overall well-being, but sexual dysfunction is common, especially in midlife women. The aim of this review is (a) to define sexual function and dysfunction, (b) to present theoretical models of female sexual response, (c) to examine longitudinal studies of how sexual function changes during midlife, and (d) to review treatment options. Four types of female sexual dysfunction are currently recognized: Female Orgasmic Disorder, Female Sexual Int...

Global Alliance'i president: harige ennast, sest kogemusest tänapäeval ei piisa / Anne Gregory ; intervjueerinud Annela Laaneots

Index Scriptorium Estoniae

Gregory, Anne

2013-01-01

Intervjuu ajakirja Kaja mõttekojas esinenud maailma suhtekorralduse ja kommunikatsioonijuhtimise organisatsioonide ühenduse Global Alliance presidendi Anne Gregoryga, kes annab nõu, mida kommunikatsioonijuht peaks tegema, et olla organisatsioonis hinnatud ning enda eesmärkidest Global Alliance'i presidendina

The treatment of female stress urinary incontinence: an evidenced-based review

Directory of Open Access Journals (Sweden)

Cameron AP

2011-06-01

Full Text Available Anne P Cameron, Allen McNeil HarawayDepartment of Urology, Division of Neurourology and Pelvic Floor Reconstruction, University of Michigan Health System, Ann Arbor, MI, USAObjective: To review the literature on the surgical and nonsurgical treatment options for stress urinary incontinence in women, focusing exclusively on randomized clinical trials and high quality meta-analyses.Materials and methods: A computer-aided and manual search for published randomized controlled trials and high quality meta-analyses investigating both conservative and surgical treatment options for stress urinary incontinence. In the case of a treatment that is not studied in these formats large case series have been used.Results: Articles were reviewed and the results summarized on pelvic floor physical therapy, pharmacotherapy, bulking agents, and surgery (open and minimally invasive.Conclusion: There are numerous high quality studies in the literature. It can be difficult to make definitive conclusions on the most appropriate treatment options due to the variability in the outcomes used to define success in these articles. There is also a dire lack of studies evaluating and comparing the surgical options for patients with intrinsic sphincter deficiency.Keywords: stress urinary incontinence, conservative and surgical treatment

Demande de sécurité des véhicules et normes automobiles depuis les années 1960

Directory of Open Access Journals (Sweden)

Marine Moguen-Toursel

2008-12-01

Full Text Available Ce papier met l’accent sur l’émergence de la sécurité routière au plan communautaire comme un enjeu important de société, en réponse au problème criant du nombre des morts sur la route (qui connaît un pic au début des années 1970. Ce moment de prise de conscience correspond à une irruption des pouvoirs publics sur ces questions tant au plan national qu’au plan communautaire. Toutefois, les traductions en termes de réglementations sont lentes à apparaître. La Commission européenne doit inventer de nouvelles procédures pour obtenir des avancées en la matière. Depuis que des gains importants ont été chiffrés en termes de pénétration des innovations de sécurité des véhicules sur les marchés automobiles européens (impliquant une amélioration de compétitivité pour cette industrie, les pressions pour adopter une réglementation uniforme (notamment entre les standards communautaires et internationaux se font plus fortes et les investissements dans la R&D se font plus lourds (même s’ils restent loin des niveaux américains. L’obstacle réside surtout à présent dans l’absence de demande de la part des consommateurs européens pour ces technologies et la méconnaissance par les utilisateurs des outils de sécurité présents à bord des véhicules.Au plan de la gouvernance, ces thématiques sont prises en charge par un nombre croissant d’acteurs (il est intéressant de noter que les premiers intervenants sur ces dossiers sont les constructeurs, puis les pouvoirs publics et enfin les associations de consommateurs. Les travaux évoluent vers une approche intégrée faisant intervenir les différents acteurs bien en amont de la décision finale au sein de forums de discussion.This paper focuses on the emergence of road safety at the Community level as an important societal stake, answering the very urgent problem of number of deaths on the roads (which was particularly high at the beginning of the 1970s. This

Les migrantes, la sécurité économique et le défi de la réintégration ...

International Development Research Centre (IDRC) Digital Library (Canada)

Ce projet portera sur la réintégration de Philippines revenant au pays après leur passage dans les importants centres d'activités de Hong Kong, Taïwan et Singapour. La recherche sera dirigée par aidha, un organisme à but non lucratif qui offre aux travailleuses migrantes, en particulier aux aides familiales, des formations ...

Performance measurement of plate fin heat exchanger by exploration: ANN, ANFIS, GA, and SA

Directory of Open Access Journals (Sweden)

A.K. Gupta

2017-01-01

Full Text Available An experimental work is conducted on counter flow plate fin compact heat exchanger using offset strip fin under different mass flow rates. The training, testing, and validation set of data has been collected by conducting experiments. Next, artificial neural network merged with Genetic Algorithm (GA utilized to measure the performance of plate-fin compact heat exchanger. The main aim of present research is to measure the performance of plate-fin compact heat exchanger and to provide full explanations. An artificial neural network predicted simulated data, which verified with experimental data under 10–20% error. Then, the authors examined two well-known global search techniques, simulated annealing and the genetic algorithm. The proposed genetic algorithm and Simulated Annealing (SA results have been summarized. The parameters are impartially important for good results. With the emergence of a new data-driven modeling technique, Neuro-fuzzy based systems are established in academic and practical applications. The neuro-fuzzy interference system (ANFIS has also been examined to undertake the problem related to plate-fin heat exchanger performance measurement under various parameters. Moreover, Parallel with ANFIS model and Artificial Neural Network (ANN model has been created with emphasizing the accuracy of the different techniques. A wide range of statistical indicators used to assess the performance of the models. Based on the comparison, it was revealed that technical ANFIS improve the accuracy of estimates in the small pool and tropical ANN.

Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : Driver And Dispatcher Perceptions Of AATA'S Advanced Operating System

Science.gov (United States)

1999-01-01

In 1997, the Ann Arbor (Michigan) Transportation Authority began deploying advanced public transportation systems (APTS) technologies in its fixed route and paratransit operations. The project's concept is the integration of a range of such technolog...

Élaboration d'une stratégie de lutte intégrée contre la pollution de l ...

International Development Research Centre (IDRC) Digital Library (Canada)

Élaboration d'une stratégie de lutte intégrée contre la pollution de l'eau à Yorito, au Honduras. Le Honduras connaît des problèmes chroniques de gestion des eaux usées et des déchets solides. Dans le cadre de réformes de décentralisation effectuées récemment, un projet de gestion des déchets axé sur la collectivité ...

La gestion intégrée des pêches accroît la sécurité alimentaire en ...

International Development Research Centre (IDRC) Digital Library (Canada)

17 sept. 2013 ... Le paiche (Arapaima gigas) est un poisson d'eau douce d'Amérique du Sud dont la longueur peut atteindre 4 mètres et le poids, plus de 200 kilos. Aliment de choix ailleurs en Amazonie, il est présent en Bolivie depuis les années 1960, et son aire de dispersion s'élargit rapidement. Les chercheurs sont ...

Regards croisés sur le régionalisme en Asie Orientale au travers de la concurrence entre le Japon, la Chine et l’Inde

Directory of Open Access Journals (Sweden)

Jean-Christophe Defraigne

2011-06-01

Full Text Available Cet article retrace l’origine du leadership économique japonais dans le processus d’intégration régionale en Asie orientale et comment il est remis en question par la montée en puissance de la Chine depuis son ouverture commencée dans les années 1980. Il analyse les obstacles qui empêchent encore la Chine de jouir d’une position hégémonique régionale et qui entretiennent une situation dans laquelle la direction du processus d’intégration régionale en Asie orientale reste contestée. L’article met en évidence les limites au rôle que pourrait jouer dans ce processus l’autre grande puissance émergente d’Asie qu’est l’Inde du fait de sa position périphérique.

COMPETITIVITE DE LA FILIERE HUILE D'OLIVE EN ALGERIE ...

African Journals Online (AJOL)

temps une perte d'intérêt du consommateur pour l'huile d'olive. Ce qui a accéléré la baisse du niveau de sa consommation par les mé- nages. Dès les années 1960, la substitution des huiles de graines aux huiles d'olive a été observée dans l'ensemble des pays méditerranéens et aboutit, une décennie plus tard, à faire de ...

Design of an Experiment to Measure ann Using 3H(γ, pn)n at HIγS★

Science.gov (United States)

Friesen, F. Q. L.; Ahmed, M. W.; Crowe, B. J.; Crowell, A. S.; Cumberbatch, L. C.; Fallin, B.; Han, Z.; Howell, C. R.; Malone, R. M.; Markoff, D.; Tornow, W.; Witała, H.

2016-03-01

We provide an update on the development of an experiment at TUNL for determining the 1S0 neutron-neutron (nn) scattering length (ann) from differential cross-section measurements of three-body photodisintegration of the triton. The experiment will be conducted using a linearly polarized gamma-ray beam at the High Intensity Gamma-ray Source (HIγS) and tritium gas contained in thin-walled cells. The main components of the planned experiment are a 230 Ci gas target system, a set of wire chambers and silicon strip detectors on each side of the beam axis, and an array of neutron detectors on each side beyond the silicon detectors. The protons emitted in the reaction are tracked in the wire chambers and their energy and position are measured in silicon strip detectors. The first iteration of the experiment will be simplified, making use of a collimator system, and silicon detectors to interrogate the main region of interest near 90° in the polar angle. Monte-Carlo simulations based on rigorous 3N calculations have been conducted to validate the sensitivity of the experimental setup to ann. This research supported in part by the DOE Office of Nuclear Physics Grant Number DE-FG02-97ER41033

Comments on Triassi et al. Environmental Pollution from Illegal Waste Disposal and Health Effects: A Review on the “Triangle of Death”. Int. J. Environ. Res. Public Health 2015, 12, 1216–1236

Directory of Open Access Journals (Sweden)

Maurizio Bifulco

2015-03-01

Full Text Available A recent paper was published on Int. J. Environ. Res. Public Health addressing the so-called “Triangle of Death” linked to waste crisis in the Southern Italy [1]. Three decades of illegal waste management including uncontrolled disposal of toxic and industrial material, land filling and unauthorized incineration have transformed these Italian areas, into the poisoned dustbin of the country, the “Triangle of Death” also called “Land of Fires” [2,3], characterized by the presence of a widespread organized crime, a huge social and economic disintegration, a high population density with large migration flows. [...

Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach

Directory of Open Access Journals (Sweden)

Yaojie Yue

2016-11-01

Full Text Available Land degradation monitoring is of vital importance to provide scientific information for promoting sustainable land utilization. This paper presents an expert knowledge and BP-ANN-based approach to detect and monitor land degradation in an effort to overcome the deficiencies of image classification and vegetation index-based approaches. The proposed approach consists of three generic steps: (1 extraction of knowledge on the relationship between land degradation degree and predisposing factors, which are NDVI and albedo, from domain experts; (2 establishment of a land degradation detecting model based on the BP-ANN algorithm; and (3 land degradation dynamic analysis. A comprehensive analysis was conducted on the development of land degradation in the Ordos Plateau of China in 1990, 2000 and 2010. The results indicate that the proposed approach is reliable for monitoring land degradation, with an overall accuracy of 91.2%. From 1990–2010, a reverse trend of land degradation is observed in Ordos Plateau. Regions with relatively high land degradation dynamic were mostly located in the northeast of Ordos Plateau. Additionally, most of the regions have transferred from a hot spot of land degradation to a less changed area. It is suggested that land utilization optimization plays a key role for effective land degradation control. However, it should be highlighted that the goals of such strategies should aim at the main negative factors causing land degradation, and the land use type and its quantity must meet the demand of population and be reconciled with natural conditions. Results from this case study suggest that the expert knowledge and BP-ANN-based approach is effective in mapping land degradation.

O intérprete universitário da Língua Brasileira de Sinais na cidade de Curitiba A sign language university level interpreter working in the city of Curitiba

Directory of Open Access Journals (Sweden)

Ana Cristina Guarinello

2008-04-01

Full Text Available No Brasil, o trabalho com intérpretes em Língua Brasileira de Sinais iniciou-se nos anos 80 e pode, dessa forma, ser considerado recente, assim como também é recente a legitimidade da sua importância que ainda está em processo de consolidação. A presente pesquisa tem como principal objetivo discutir e explicitar questões relativas ao trabalho de intérpretes de língua de sinais em uma universidade e dois centros universitários particulares da cidade de Curitiba. Para isto foram aplicados dois questionários para dois grupos distintos, um voltado para os intérpretes que atuam em universidades da cidade de Curitiba, e outro voltado para os surdos universitários que possuem intérpretes em sala de aula. Ambos os questionários continham questões abertas e fechadas. De acordo com as análises dos dados, constatou-se a importância dos intérpretes em sala de aula para o processo de aprendizagem dos estudantes surdos. Contudo, verificou-se também uma série de questões que subjaze a discussão sobre a efetividade no contexto da interpretação, tais como: qualidade na formação dos intérpretes, conhecimento antecipado da disciplina para a tradução, dificuldade na relação Língua Portuguesa/LIBRAS, relação intérprete/professor, dentre outras. A partir dessas considerações, vemos que, no cenário da educação dos surdos brasileiros, essas questões apenas refletem o descaso das autoridades com relação à educação dessa população, assim como evidenciam as dificuldades lingüísticas e sociais relativas à surdez. Esse trabalho apresenta-se, nessa direção, como o início de uma reflexão sobre o contexto do intérprete universitário, porém, muito ainda precisa ser entendido para que mudanças mais efetivas possam ser realizadas.In Brazil, work with Brazilian sign language (Libras interpreters began in the eighties, so this can be said to be a recent proposal, as is recent the consideration of sign language as a

INITIAL DATA RELEASE OF THE KEPLER-INT SURVEY

Energy Technology Data Exchange (ETDEWEB)

Greiss, S.; Steeghs, D.; Gaensicke, B. T. [Department of Physics, Astronomy and Astrophysics group, University of Warwick, CV4 7AL Coventry (United Kingdom); Martin, E. L. [INTA-CSIC Centro de Astrobiologia, Carretera de Ajalvir km 4, 28550 Torrejon de Ardoz (Spain); Groot, P. J.; Verbeek, K.; Jonker, P. G.; Scaringi, S. [Department of Astrophysics/IMAPP, Radboud University Nijmegen, P.O. Box 9010, 6500 GL Nijmegen (Netherlands); Irwin, M. J.; Gonzalez-Solares, E. [Cambridge Astronomy Survey Unit, Institute of Astronomy, University of Cambridge, Madingley Road, CB3 0HA Cambridge (United Kingdom); Greimel, R. [Institut fuer Physik, Karl-Franzen Universitaet Graz, Universitaetsplatz 5, 8010 Graz (Austria); Knigge, C. [School of Physics and Astronomy, University of Southampton, Southampton, Hampshire SO17 1BJ (United Kingdom); Ostensen, R. H. [Instituut voor Sterrenkunde, KU Leuven, Celestijnenlaan 200D, 3001 Leuven (Belgium); Drew, J. E.; Farnhill, H. [Centre for Astrophysics Research, University of Hertfordshire, College Lane, Hatfield AL10 9AB (United Kingdom); Drake, J.; Wright, N. J. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Ripepi, V. [INAF-Osservatorio Astronomico di Capodimonte, via Moiariello 16, Naples I-80131 (Italy); Southworth, J. [Astrophysics Group, Keele University, Newcastle-under-Lyme ST5 5BG (United Kingdom); Still, M., E-mail: s.greiss@warwick.ac.uk [NASA Ames Research Center, M/S 244-40, Moffett Field, CA 94035 (United States); and others

2012-07-15

This paper describes the first data release of the Kepler-INT Survey (KIS) that covers a 116 deg{sup 2} region of the Cygnus and Lyra constellations. The Kepler field is the target of the most intensive search for transiting planets to date. Despite the fact that the Kepler mission provides superior time-series photometry, with an enormous impact on all areas of stellar variability, its field lacks optical photometry complete to the confusion limit of the Kepler instrument necessary for selecting various classes of targets. For this reason, we follow the observing strategy and data reduction method used in the IPHAS and UVEX galactic plane surveys in order to produce a deep optical survey of the Kepler field. This initial release concerns data taken between 2011 May and August, using the Isaac Newton Telescope on the island of La Palma. Four broadband filters were used, U, g, r, i, as well as one narrowband one, H{alpha}, reaching down to a 10{sigma} limit of {approx}20th mag in the Vega system. Observations covering {approx}50 deg{sup 2}, thus about half of the field, passed our quality control thresholds and constitute this first data release. We derive a global photometric calibration by placing the KIS magnitudes as close as possible to the Kepler Input Catalog (KIC) photometry. The initial data release catalog containing around 6 million sources from all the good photometric fields is available for download from the KIS Web site (www.astro.warwick.ac.uk/research/kis/) as well as via MAST (KIS magnitudes can be retrieved using the MAST enhanced target search page http://archive.stsci.edu/kepler/kepler{sub f}ov/search.php and also via Casjobs at MAST Web site http://mastweb.stsci.edu/kplrcasjobs/).

INITIAL DATA RELEASE OF THE KEPLER-INT SURVEY

International Nuclear Information System (INIS)

Greiss, S.; Steeghs, D.; Gänsicke, B. T.; Martín, E. L.; Groot, P. J.; Verbeek, K.; Jonker, P. G.; Scaringi, S.; Irwin, M. J.; González-Solares, E.; Greimel, R.; Knigge, C.; Østensen, R. H.; Drew, J. E.; Farnhill, H.; Drake, J.; Wright, N. J.; Ripepi, V.; Southworth, J.; Still, M.

2012-01-01

This paper describes the first data release of the Kepler-INT Survey (KIS) that covers a 116 deg 2 region of the Cygnus and Lyra constellations. The Kepler field is the target of the most intensive search for transiting planets to date. Despite the fact that the Kepler mission provides superior time-series photometry, with an enormous impact on all areas of stellar variability, its field lacks optical photometry complete to the confusion limit of the Kepler instrument necessary for selecting various classes of targets. For this reason, we follow the observing strategy and data reduction method used in the IPHAS and UVEX galactic plane surveys in order to produce a deep optical survey of the Kepler field. This initial release concerns data taken between 2011 May and August, using the Isaac Newton Telescope on the island of La Palma. Four broadband filters were used, U, g, r, i, as well as one narrowband one, Hα, reaching down to a 10σ limit of ∼20th mag in the Vega system. Observations covering ∼50 deg 2 , thus about half of the field, passed our quality control thresholds and constitute this first data release. We derive a global photometric calibration by placing the KIS magnitudes as close as possible to the Kepler Input Catalog (KIC) photometry. The initial data release catalog containing around 6 million sources from all the good photometric fields is available for download from the KIS Web site (www.astro.warwick.ac.uk/research/kis/) as well as via MAST (KIS magnitudes can be retrieved using the MAST enhanced target search page http://archive.stsci.edu/kepler/kepler_fov/search.php and also via Casjobs at MAST Web site http://mastweb.stsci.edu/kplrcasjobs/).

Uhked naised / Kozik, Eerika; Tomingas, Triin; Sepp, Karin; Liik, Kadi; Kliimask, Katrin; Saunpere, Anne ; tekst Kärt Kross

Index Scriptorium Estoniae

2007-01-01

Mille üle oled enda juures tõeliselt uhke, mida võid enda kiituseks öelda? Küsimusele vastavad Starland Salongi omanik ja Loyd Tootmine OÜ osanik Eerika Kozik, psühholoog Triin Tomingas, Kontuur Leo Burnett projektidirektor Karin Sepp, Tallinna Ülikooli õppejõud Kadi Liik, AS Koolibri turundusjuht Katrin Kliimask ja eraettevõtja Anne Saunpere

Huviharidus ei ole ainult soe bussipeatus / Piret Hartman, Ardo Rohtla, Annely Köster ... [jt.] ; intervjueerinud Maris Hellrand

Index Scriptorium Estoniae

2016-01-01

Noorte huvitegevuse toetussüsteemi kontseptsioon toob järgmisel sügisel valdkonda lisaraha. Vestlusringis huvihariduse probleemide üle osalesid kultuuriministri nõunik Piret Hartman, haridus- ja teadusministeeriumi noorteosakonna asejuhataja Ardo Rohtla, Sally Stuudio juhataja Annely Köster, Eesti Muusikakoolide Liidu juhatuse esimees Kadri Leivategija, Rakvere abilinnapea Kairit Pihlak, Eesti Teadushuvihariduse Liidu juhatuse liige Heilo Altin ja MTÜ Loovkirjutamise Keskus juhatuse liige Katriin Fisch-Uibopuu

Baring Skills, Not Soul: Carol Ann Duffy’s Intertextual Games

Directory of Open Access Journals (Sweden)

Catherine LANONE

2008-10-01

Full Text Available Maîtrisant à merveille la contre-interpellation ludique dans The World’s Wife, Carol Ann Duffy  est réputée pour ses jeux intertextuels et ses réécritures féministes des grands mythes, donnant la parole aux figures féminines que l’histoire effaçait pour faire triompher le féminin et rire du masculin. Mais son recueil Rapture, publié en 2005, s’écarte radicalement du modèle féministe pour tenter une appropriation plus discrète de la tradition pétrarquisante de la poésie amoureuse. Resémiotisant les clichés, jouant sur une simplicité incantatoire, Duffy pratique ici l’écho plutôt que la réécriture, dans un dépouillement sensuel, explorant amour puis désamour au rythme d’une poésie qui emprunte au jazz ses variations fluides ou syncopées.

Intégration des Tice et apprentissage de l'enseignement : une approche systémique Integrating technology and learning to teach: a systemic perspective

Directory of Open Access Journals (Sweden)

Francis Bangou

2006-11-01

Full Text Available De nombreuses études soulignent à quel point il est complexe d'analyser les changements pédagogiques entraînés par l'intégration des Tice. Cette recherche-action tente d'analyser de façon systémique les interrelations qu'entretient l'intégration des Tice avec les changements pédagogiques dans le cadre d'un programme de formation d'enseignants en langues étrangères au sein d'une grande université américaine. Le cadre théorique nous permettra tout d'abord de délimiter une perspective systémique et de présenter notre conception de l'intégration des Tice et de l'apprentissage. Puis, nous présenterons notre étude et en résumerons les principaux résultats afin d'illustrer la complexité d'une telle relation.Many studies underline how difficult it is to analyse the pedagogical changes caused by the integration of technology. This action research aims to analyse, from a systemic point of view, the interrelations that exist between the integration of technology and pedagogical change. The study took place in a foreign and second language teacher education program at a large American university. First, we will define a systemic perspective as well as the concepts of technology integration and learning. Then, to illustrate the complexity of such relationship, we will describe our study and summarize the main results.

Assessing the long term impact of phosphorus fertilization on phosphorus loadings using AnnAGNPS.

Science.gov (United States)

Yuan, Yongping; Bingner, Ronald L; Locke, Martin A; Stafford, Jim; Theurer, Fred D

2011-06-01

High phosphorus (P) loss from agricultural fields has been an environmental concern because of potential water quality problems in streams and lakes. To better understand the process of P loss and evaluate the effects of different phosphorus fertilization rates on phosphorus losses, the USDA Annualized AGricultural Non-Point Source (AnnAGNPS) pollutant loading model was applied to the Ohio Upper Auglaize watershed, located in the southern portion of the Maumee River Basin. In this study, the AnnAGNPS model was calibrated using USGS monitored data; and then the effects of different phosphorus fertilization rates on phosphorus loadings were assessed. It was found that P loadings increase as fertilization rate increases, and long term higher P application would lead to much higher P loadings to the watershed outlet. The P loadings to the watershed outlet have a dramatic change after some time with higher P application rate. This dramatic change of P loading to the watershed outlet indicates that a "critical point" may exist in the soil at which soil P loss to water changes dramatically. Simulations with different initial soil P contents showed that the higher the initial soil P content is, the less time it takes to reach the "critical point" where P loadings to the watershed outlet increases dramatically. More research needs to be done to understand the processes involved in the transfer of P between the various stable, active and labile states in the soil to ensure that the model simulations are accurate. This finding may be useful in setting up future P application and management guidelines.

Vähem formaalsust, rohkem julgust ja enesekriitikat! / Marko Mäetamm, Anneli Porri, Tiit Pääsuke ... [jt.] ; intervjueerinud Reet Varblane

Index Scriptorium Estoniae

2009-01-01

Kunstiõpetamise võimalikkuse ja vajalikkuse üle vestlesid Eesti Kunstiakadeemia vabade kunstide teaduskonna dekaan Marko Mäetamm, fotokunsti osakonna õppejõud Anneli Porri, emeriitprofessor Tiit Pääsuke, prorektor Liina Siib, graafilise disaini osakonna õppejõud Indrek Sirkel ja ehtekunsti osakonna õppejõud Tanel Veenre

Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model

International Nuclear Information System (INIS)

Koutroumanidis, Theodoros; Ioannou, Konstantinos; Arabatzis, Garyfallos

2009-01-01

Throughout history, energy resources have acquired a strategic significance for the economic growth and social welfare of any country. The large-scale oil crisis of 1973 coupled with various environmental protection issues, have led many countries to look for new, alternative energy sources. Biomass and fuelwood in particular, constitutes a major renewable energy source (RES) that can make a significant contribution, as a substitute for oil. This paper initially provides a description of the contribution of renewable energy sources to the production of electricity, and also examines the role of forests in the production of fuelwood in Greece. Following this, autoregressive integrated moving average (ARIMA) models, artificial neural networks (ANN) and a hybrid model are used to predict the future selling prices of the fuelwood (from broadleaved and coniferous species) produced by Greek state forest farms. The use of the ARIMA-ANN hybrid model provided the optimum prediction results, thus enabling decision-makers to proceed with a more rational planning for the production and fuelwood market. (author)

The Sacred Object: Anne Carson and Simone Weil

Directory of Open Access Journals (Sweden)

Elizabeth Coles

2014-01-01

Full Text Available Este artículo examina la relación entre la lectura crítica y el objeto crítico en laobra de la poeta y ensayista canadiense Anne Carson, principalmente los textosque surgen de su largo acercamiento a los escritos de la filósofa y mística cristiana Simone Weil. Mi lectura de Carson se centra en los deseos conflictuales de la relación crítica que se encuentran confesados y no confesados en su obra, y en las formas de intimidad que sus respuestas logran con la obra de Weil. Agudizadas por su encuentro con el pensamiento y la fe de Weil, las preguntasde Carson para la crítica ―sobre sus propios objetos y la resistencia de ellos ala interpretación, sobre la distinción entre crítica y literatura, y sobre la vanidadde la estética de la crítica misma― encuentran su articulación en varios génerosde la escritura: estudiando la complicidad de cada uno de estos con Weil, yla capacidad de cada uno a radicalizar sus cuestiones, llego a unas conclusionspropias para la crítica literaria.

Kaasaegne kunstiõpetus, uks praegusesse ülevisualiseeritud maailma / Tõnu Talve, Anne Susanna Lindström ; interv. Reet Varblane

Index Scriptorium Estoniae

Talve, Tõnu

2007-01-01

Soome kunstiõpetaja, Eesti Kunstiakadeemia õpetajate koolituskeskuse dotsent Anne Susanna Lindström ja Keila gümnaasiumi kunstiõpetaja Tõnu Talve Heidelbergi ja Karlsruhe pedagoogikaülikooli organiseeritud kunstiõpetajate maailmakongressist "Horisondid 2007" ning kunstiõpetusest. A. S Lindström tutvustas kongressil Eesti ja Soome kunstiõpetuse ainekavade võrdlev-ajaloolist uuringut ja T. Talve esitles videofilmi "Fragile kunstitund 3"

Foundational Issues in Touch-Screen Stroke Gesture Design - An Integrative Review

OpenAIRE

Zhai , Shumin; Kristensson , Per Ola; Appert , Caroline; Andersen , Tue Haste; Cao , Xiang

2012-01-01

International audience; The potential for using stroke gestures to enter, retrieve and select commands and text has been recently unleashed by the popularity of touchscreen devices. This monograph provides a state-of-the-art inte- grative review of a body of human-computer interaction research on stroke gestures. It begins with an analysis of the design dimensions of stroke gestures as an interaction medium. The analysis classifies gestures into analogue versus abstract gestures, gestures for...

Vampiros humanizados: análise da obra Interview with the vampire de Anne Rice

OpenAIRE

Patricia Hradec

2014-01-01

Esta dissertação tem por objetivo analisar o romance Interview with the Vampire de Anne Rice que é o primeiro livro dos dez que constituem suas Crônicas Vampirescas . Pretende-se com esta pesquisa demonstrar como os vampiros apresentados por Rice são humanizados. Inicia-se com um estudo histórico sobre os vampiros, tanto lendários quanto literários, depois há um estudo sobre a vida e obra da escritora norte-americana bem como um levantamento das diferenças entre os vampiros de Rice e outros ...

Examination and comparative study of the Ascension of The Prophet of Islam In The View Of Michael Sells And Anne-mari e Shamil with Inter- Religious Attitude

Directory of Open Access Journals (Sweden)

Mahdi Azadi

2015-09-01

Full Text Available Michael Sells, American scholar of Quran,about the Ascension (Mi,raj of the prophet (PBUH focuses on three issues: First, the Mi,raj term is not used in the Quran and the ascension of the explanation is not enough. second, Mohammad is no different from the miracle of the Quran is the miracle of God,he is not anything else, Quran states. Third, Ascension of the prophet (PBUH has been in sleep and dream.According to him, the discussion about the layers of the subject is based mainly on the evidence of Quran.In this case, only limited information can be found in the Asra chapter (sooreh of the Quran.In addition, he has tried to make the Ascension event from Jewish traditions and the effects Bvdaysm.actually the orientalist`s goal is to prove the absence of ascension of the prophet(PBUH.  In contrast, Anne-marie Shamil stayes that prophet`s ascension derived from the first verse of Asra sura and believes that two processes(horizontal and verticalfor prophet happened.and unlike Michael,he knows mi,raj from the God miracles.Anne-Marie because her sufficient the Sunni sources is doubt with belief in the physical and spiritual ascension,in some of her votes,such as; visible or not visible in the ascension of God by the prophet.Despite the fundamental criticism that some elements of the theory of two Orientalists arrived,positive points are observed in their ideas.in this article we have tried to express the views of the Orientalists, then to review their ideas considered

ANN Synthesis Model of Single-Feed Corner-Truncated Circularly Polarized Microstrip Antenna with an Air Gap for Wideband Applications

Directory of Open Access Journals (Sweden)

Zhongbao Wang

2014-01-01

Full Text Available A computer-aided design model based on the artificial neural network (ANN is proposed to directly obtain patch physical dimensions of the single-feed corner-truncated circularly polarized microstrip antenna (CPMA with an air gap for wideband applications. To take account of the effect of the air gap, an equivalent relative permittivity is introduced and adopted to calculate the resonant frequency and Q-factor of square microstrip antennas for obtaining the training data sets. ANN architectures using multilayered perceptrons (MLPs and radial basis function networks (RBFNs are compared. Also, six learning algorithms are used to train the MLPs for comparison. It is found that MLPs trained with the Levenberg-Marquardt (LM algorithm are better than RBFNs for the synthesis of the CPMA. An accurate model is achieved by using an MLP with three hidden layers. The model is validated by the electromagnetic simulation and measurements. It is enormously useful to antenna engineers for facilitating the design of the single-feed CPMA with an air gap.

Narratifs Médiatiques sur la relation entre le corps et les jeux olympiques dans les années 1890 et 1900

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Fausto Amaro

2016-09-01

Full Text Available Les jeux olympiques se présentées devenus l’habitant de Rio de Janeiro des années 1890 et 1900 comme quelque chose au-delà du sport. Cirque, théâtre et cinéma étaient espaces culturels où ces événements pourraient être assistés, comme les journaux annonçaient. Les Jeux Olympiques du Comité International Olympique ont également été publiés, mais rivalisaient à l’attention du lecteur de Rio avec des jeux non officiels, tels que ceux qui sont détenus à Montevideo en l’année 1907. Compris ce contexte, je présente dans cet article quelques questions concernant le corps idéal dans cette période et son dialogue avec la nouveauté représenté par les jeux olympiques.

Master-Leader-Slave Cuckoo Search with Parameter Control for ANN Optimization and Its Real-World Application to Water Quality Prediction.

Directory of Open Access Journals (Sweden)

Najmeh Sadat Jaddi

Full Text Available Artificial neural networks (ANNs have been employed to solve a broad variety of tasks. The selection of an ANN model with appropriate weights is important in achieving accurate results. This paper presents an optimization strategy for ANN model selection based on the cuckoo search (CS algorithm, which is rooted in the obligate brood parasitic actions of some cuckoo species. In order to enhance the convergence ability of basic CS, some modifications are proposed. The fraction Pa of the n nests replaced by new nests is a fixed parameter in basic CS. As the selection of Pa is a challenging issue and has a direct effect on exploration and therefore on convergence ability, in this work the Pa is set to a maximum value at initialization to achieve more exploration in early iterations and it is decreased during the search to achieve more exploitation in later iterations until it reaches the minimum value in the final iteration. In addition, a novel master-leader-slave multi-population strategy is used where the slaves employ the best fitness function among all slaves, which is selected by the leader under a certain condition. This fitness function is used for subsequent Lévy flights. In each iteration a copy of the best solution of each slave is migrated to the master and then the best solution is found by the master. The method is tested on benchmark classification and time series prediction problems and the statistical analysis proves the ability of the method. This method is also applied to a real-world water quality prediction problem with promising results.

Master-Leader-Slave Cuckoo Search with Parameter Control for ANN Optimization and Its Real-World Application to Water Quality Prediction.

Science.gov (United States)

Jaddi, Najmeh Sadat; Abdullah, Salwani; Abdul Malek, Marlinda

2017-01-01

Artificial neural networks (ANNs) have been employed to solve a broad variety of tasks. The selection of an ANN model with appropriate weights is important in achieving accurate results. This paper presents an optimization strategy for ANN model selection based on the cuckoo search (CS) algorithm, which is rooted in the obligate brood parasitic actions of some cuckoo species. In order to enhance the convergence ability of basic CS, some modifications are proposed. The fraction Pa of the n nests replaced by new nests is a fixed parameter in basic CS. As the selection of Pa is a challenging issue and has a direct effect on exploration and therefore on convergence ability, in this work the Pa is set to a maximum value at initialization to achieve more exploration in early iterations and it is decreased during the search to achieve more exploitation in later iterations until it reaches the minimum value in the final iteration. In addition, a novel master-leader-slave multi-population strategy is used where the slaves employ the best fitness function among all slaves, which is selected by the leader under a certain condition. This fitness function is used for subsequent Lévy flights. In each iteration a copy of the best solution of each slave is migrated to the master and then the best solution is found by the master. The method is tested on benchmark classification and time series prediction problems and the statistical analysis proves the ability of the method. This method is also applied to a real-world water quality prediction problem with promising results.

Determining degree of roasting in cocoa beans by artificial neural network (ANN)-based electronic nose system and gas chromatography/mass spectrometry (GC/MS).

Science.gov (United States)

Tan, Juzhong; Kerr, William L

2018-08-01

Roasting is a critical step in chocolate processing, where moisture content is decreased and unique flavors and texture are developed. The determination of the degree of roasting in cocoa beans is important to ensure the quality of chocolate. Determining the degree of roasting relies on human specialists or sophisticated chemical analyses that are inaccessible to small manufacturers and farmers. In this study, an electronic nose system was constructed consisting of an array of gas sensors and used to detect volatiles emanating from cocoa beans roasted for 0, 20, 30 and 40 min. The several signals were used to train a three-layer artificial neural network (ANN). Headspace samples were also analyzed by gas chromatography/mass spectrometry (GC/MS), with 23 select volatiles used to train a separate ANN. Both ANNs were used to predict the degree of roasting of cocoa beans. The electronic nose had a prediction accuracy of 94.4% using signals from sensors TGS 813, 826, 822, 830, 830, 2620, 2602 and 2610. In comparison, the GC/MS predicted the degree of roasting with an accuracy of 95.8%. The electronic nose system is able to predict the extent of roasting, as well as a more sophisticated approach using GC/MS. © 2018 Society of Chemical Industry. © 2018 Society of Chemical Industry.

Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review.

Science.gov (United States)

Dande, Payal; Samant, Purva

2018-01-01

Tuberculosis [TB] has afflicted numerous nations in the world. As per a report by the World Health Organization [WHO], an estimated 1.4 million TB deaths in 2015 and an additional 0.4 million deaths resulting from TB disease among people living with HIV, were observed. Most of the TB deaths can be prevented if it is detected at an early stage. The existing processes of diagnosis like blood tests or sputum tests are not only tedious but also take a long time for analysis and cannot differentiate between different drug resistant stages of TB. The need to find newer prompt methods for disease detection has been aided by the latest Artificial Intelligence [AI] tools. Artificial Neural Network [ANN] is one of the important tools that is being used widely in diagnosis and evaluation of medical conditions. This review aims at providing brief introduction to various AI tools that are used in TB detection and gives a detailed description about the utilization of ANN as an efficient diagnostic technique. The paper also provides a critical assessment of ANN and the existing techniques for their diagnosis of TB. Researchers and Practitioners in the field are looking forward to use ANN and other upcoming AI tools such as Fuzzy-logic, genetic algorithms and artificial intelligence simulation as a promising current and future technology tools towards tackling the global menace of Tuberculosis. Latest advancements in the diagnostic field include the combined use of ANN with various other AI tools like the Fuzzy-logic, which has led to an increase in the efficacy and specificity of the diagnostic techniques. Copyright © 2017 Elsevier Ltd. All rights reserved.

Les possibilités d'utilisation ciblée des ressources de la Responsabilité Sociale des Entreprises dans le secteur vinier dans le but d'améliorer la durabilité et la spécificité culturelle des régions viticoles

Directory of Open Access Journals (Sweden)

Murdjeva Ivana

2017-01-01

Full Text Available Ces dernières années, la responsabilité corporative sociale (RCS marque une certaine croissance dans l'intérêt des entreprises envers l'intégration dans des causes d'intérêt social dans leurs pratiques commerciales. L'on note un intérêt accru envers les sujets liés à l'éducation, l'écologie, la santé, l'amélioration de la sensibilisation des consommateurs, l'amélioration des conditions de travail et, tout dernièrement, aux sujets et aux initiatives visant la conservation et la protection du patrimoine culturel matériel et immatériel. Diverses entreprises et producteurs, dans leur plupart de petite et moyenne envergure, dirigent leurs ressources vers un travail avec des groupes et des communautés locales, afin d'améliorer le milieu et de créer une motivation pour la conservation durable des emplois et l'augmentation de l'engagement professionnel et des compétences des personnes employées dans la production. Les secteurs publics ayant contact avec la culture, l'art, la préservation de l'identité et des tra-ditions manquent encore de popularité, y compris les productions spécifiques aux régions, la préservation du milieu et la conservation des phénomènes de la nature, la préservation de la culture des communautés locales et leur intégration dans un échange d'ordre global.

Miks lootusrikkalt tehtud plaanid nurjuvad? / Anneli Lorenz, Jakob Kübarsepp, Kätlin Tiigi, Mikk Kasesalk ; küsitlenud Anna-Liisa Mets

Index Scriptorium Estoniae

2014-01-01

Õpingute poolelijätmise põhjusi analüüsivad Eesti Maaülikooli õppeosakonna juhataja Anneli Lorenz, TTÜ õppeprorektor Jakob Kübarsepp, TTÜ Üliõpilaskonna juhatuse liige Kätlin Tiigi ja Tallinn Ülikooli karjäärinõustaja Mikk Kasesalk

Comparaison de populations de carpe commune (Cyprinus carpio à taille commerciale : intérêt d'une approche globale

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PEREIRA V.

1999-07-01

Une discrimination géographique des populations est possible mais elle repose sur une approche globale intégrant l'ensemble des paramètres. Les différences semblent essentiellement liées aux conditions environnementales et permettent de distinguer les lots issus des régions où l'élevage est plus intensif et traditionnellement centré sur la carpe (Dombes, Forez, Lorraine et les lots correspondant à un élevage plus extensif et davantage orienté vers le marché du repeuplement (Allier, Brenne, Poitou-Charentes.

Intérprete surdo de língua de sinais brasileira: o novo campo de tradução / interpretação cultural e seu desafio

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Ana Regina e Souza Campello

2014-07-01

  Esse artigo é o resultado da pesquisa que trata da nova modalidade de tradução/interpretação de línguas de sinais dos intérpretes Surdos, observando a norma surda (STONE, 2009 apud SOUZA, 2010. Recentemente surgiu esse novo campo de tradução no contexto educacional do ensino a distância: o da tradução e interpretação do ator/tradutor e finalmente e intérprete de uma língua de sinais para outra língua de sinais (SEGALA, 2010; SOUZA, 2010. Estas atividades de tradução e interpretação têm sido desempenhadas por Surdos bilíngues intermodais. Exatamente por representar um novo campo de estudo, este artigo apresenta a sua constituição.

News from HR: a word from Anne-Sylvie Catherin

CERN Multimedia

2016-01-01

Anne-Sylvie Catherin, head of HR Department, looks back over her years at CERN before taking up her new position at the European Central Bank.   At the end of July, I will be leaving CERN on a special leave of absence to take up a new position at the European Central Bank. This is a new chapter in my career, in a new context with its own challenges, and as I prepare for it, I would like to take a little time to look back over my years at CERN and share with you the enriching journey it has been, both for myself and for HR. It has always been my strong belief that any organisation’s greatest asset is its people. When an HR professional believes that, it’s only a short step to the conclusion that the best way to nurture those people is by adopting a professional approach to HR. In this respect, I arrived at a very fortuitous time. Enrico Chiaveri was head of HR and, although his background is in physics, we shared that same conviction. Enrico was the icebreaker in driving change, a...

L'effet pro-concurrentiel de l'intégration européenne:

DEFF Research Database (Denmark)

Bellone, Flora; Musso, Patrick; Nesta, Lionel

En situation de concurrence pure et parfaite, les décisions par les entreprises de quantité produites et d'utilisation des facteurs s'effectuent en égalisant le prix du marché de bien final avec le coût marginal. En situation de concurrence imparfaite, cette égalisation n'est plus respectée, les...... firmes ayant intérêt d'utiliser leur pouvoir de marché pour fixer un prix au-delà de leur coût marginal. Dans cet article, nous mesurons les taux de marge, définis comme l'écart en pourcentage entre le prix de vente et le coût marginal, à partir de données d'entreprises pour 14 industries manufacturières...... françaises de 1986 à 2004. Nous observons que le taux de marge moyen, sur l'ensemble de la période et sur l'ensemble des industries, est de 13,8%, ce qui est légèrement supérieur au Royaume-Uni.  Nous trouvons que la mise en place du marché commun a conduit à une diminution de 4 à 5% des marges, alors que l...

Ali, Cunich: Halley's Churches: Halley and the London Queen Anne Churches

Science.gov (United States)

Ali, Jason R.; Cunich, Peter

2005-04-01

Edmond Halley's enormous contribution to science has received much attention. New research adds an intriguing chapter to his story and concerns his hitherto unexplored association with the baroque architectural visionary Nicholas Hawksmoor, and some important Temple-inspired churches that were built in London in the early 1700s. We argue that Christchurch Spitalfields and St Anne's Limehouse, which were both started in the summer of 1714, were aligned exactly eastwards using ``corrected'' magnetic-compass bearings and that Halley influenced or aided Hawksmoor. By this time the men had probably known each other for 30 years and had recently worked together on the Clarendon Building in Oxford. Despite there being more than 1500 years of Chinese and about 500 years of Western compass technology at the time, these probably represent the first constructions planned using a modern-day ``scientific'' technique. The research also throws light on Halley's contended religious position.

Os intérpretes e a formação do Brasil: os quatro primeiros séculos de uma história esquecida

Directory of Open Access Journals (Sweden)

Dennys Silva-Reis

2016-09-01

Full Text Available http://dx.doi.org/10.5007/2175-7968.2016v36n3p81 A formação histórica do Brasil muito deveu ao trabalho indispensável dos intérpretes desde o chamado “descobrimento” até bem avançado o século XIX. Neste artigo, destacamos a necessidade de conceder maior visibilidade aos intérpretes e à sua contribuição para a história cultural e linguística do Brasil, de modo que se comece a traçar um retrato mais fidedigno das complexas relações entre línguas, povos e culturas que caracterizaram os quatro primeiros séculos dessa história. Para tanto, destacamos o papel desses agentes culturais para uma reescrita da história da tradução no Brasil. Estes que permanecem marginalizados ou mesmo invisíveis na historiografia geral se tornam aqui agentes primordiais para a formação histórica do Brasil em todas as suas etapas.

Le corporatisme agrarien au Maroc La trajectoire de l’Union marocaine de l’agriculture

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Thierry Desrues

2011-12-01

Full Text Available Le secteur agricole a joué un rôle très important au Maroc durant le long règne d’Hassan II. La politique agricole a reflété les rapports de forces politiques et la capacité des élites agricoles alliées au Trône pour influencer les processus de décision. Cependant, les orientations traditionnelles de cette politique ont été remises en cause, depuis la fin des années quatre-vingt, par la libéralisation du commerce international et les contraintes financières du pays. Dans cet article, nous proposons d’apporter des éléments d’information sur l’évolution de cette politique et l’articulation des intérêts agricoles à travers le prisme de la trajectoire de l’Union Marocaine de l’Agriculture (UMA. Cette organisation professionnelle a prétendu, depuis sa constitution en 1958, au monopole de la représentation des intérêts des agriculteurs marocains, et donc du monde rural. Ce faisant, l’UMA a longtemps joué le rôle d’un véritable lobby agraire au sein des différentes institutions du royaume. Cependant, elle semble avoir perdu sa fonctionnalité à la fin des années quatre-vingt-dix, son rôle et son avenir étant depuis lors entourés d’incertitude.

Décès - French version only

CERN Document Server

2006-01-01

C'est avec une profonde tristesse que nous avons appris le décès de notre ancien collègue et ami, Jean Paul Gendras, à Roanne, le 1er février 2006, dans sa 66e année. Jean Paul avait pris sa retraite le 31 janvier 2002 après une carrière bien remplie au sein du Groupe ESS de la Division EP, où il était entré le 16 août 1971. Durant ces 30 années de présence, il s'est intéressé avec sérieux et compétence à toutes les évolutions techniques dans le domaine de l'électronique. Il était très avide de connaissances et suivait avec un grand intérêt les découvertes en physique du CERN. Toujours soucieux de faire partager sa passion, il participa activement pendant plus de vingt-cinq ans au Service des visites où il fut un guide expérimenté et très apprécié. Amoureux de la nature et sportif accompli, il partageait son temps libre entre le vélo, la course à pied, la littérature franç aise et le cinéma. C'était toujours un plaisir de l'écouter parler et jouer avec son art favori, l...

Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling.

Science.gov (United States)

Ameer, Kashif; Bae, Seong-Woo; Jo, Yunhee; Lee, Hyun-Gyu; Ameer, Asif; Kwon, Joong-Ho

2017-08-15

Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We compared response surface methodology (RSM) and artificial neural network (ANN) modelling for their estimation and predictive capabilities in building effective models with maximum responses. A 5-level 3-factor central composite design was used to optimize microwave-assisted extraction (MAE) to obtain maximum yield of target responses as a function of extraction time (X 1 : 1-5min), ethanol concentration, (X 2 : 0-100%) and microwave power (X 3 : 40-200W). Maximum values of the three output parameters: 7.67% total extract yield, 19.58mg/g stevioside yield, and 15.3mg/g Reb-A yield, were obtained under optimum extraction conditions of 4min X 1 , 75% X 2 , and 160W X 3 . The ANN model demonstrated higher efficiency than did the RSM model. Hence, RSM can demonstrate interaction effects of inherent MAE parameters on target responses, whereas ANN can reliably model the MAE process with better predictive and estimation capabilities. Copyright © 2017. Published by Elsevier Ltd.

Application of Ann for Prediction of Co2+, Cd2+ and Zn2+ Ions Uptake by R. Squarrosus Biomass in Single and Binary Mixtures

Directory of Open Access Journals (Sweden)

Nemeček Peter

2014-06-01

Full Text Available Discharge of heavy metals into aquatic ecosystems has become a matter of concern over the last few decades. The search for new technologies involving the removal of toxic metals from wastewaters has directed the attention to biosorption, based on metal binding capacities of various biological materials. Degree of sorbent affinity for the sorbate determines its distribution between the solid and liquid phases and this behavior can be described by adsorption isotherm models (Freundlich and Langmuir isotherm models representing the classical approach. In this study, an artificial neural network (ANN was proposed to predict the sorption efficiency in single and binary component solutions of Cd2+, Zn2+ and Co2+ ions by biosorbent prepared from biomass of moss Rhytidiadelphus squarrosus. Calculated non-linear ANN models presented in this paper are advantageous for its capability of successful prediction, which can be problematic in the case of classical isotherm approach. Quality of prediction was proved by strong agreement between calculated and measured data, expressed by the coefficient of determination in both, single and binary metal systems (R2= 0.996 and R2= 0.987, respectively. Another important benefit of these models is necessity of significantly smaller amount of data (about 50% for the model calculation. Also, it is possible to calculate Qeq for all studied metals by one combined ANN model, which totally overcomes a classical isotherm approach

Preliminary Study on Application of Artificial Neural Networks (ANN) for Determining the Peroxide Value of Three Commercial Palm Oil Based FTIR Spectrum)

International Nuclear Information System (INIS)

Azwan Mat Lazim; Musa Ahmad; Zuriati Zakaria; Mohd Suzeren Jamil; Suria Ramli; Faiz Zainuddin; Mohd Nasir Taib; Mat Nasir Mat Arip

2013-01-01

Peroxide value is one of the measurements that being used to determine the peroxide in oil samples produce from the peroxide compound and hydroperoxide group at the primary level of lipid oxidation. In this study, 3 commercial palm cooking oils were selected and labeled as A, B and C. Two different conditions were applied to the samples. First, the oil sample was exposed to the air for three months (labeled as A) while samples B and C were used for frying for many times. Two inputs from FTIR spectra (3444 cm -1 and 3450 cm -1 ) were chosen for the ANN training. The suitable architecture for this training is 2:20:1. The prediction made by ANN was very accurate and compatible to the result which obtained from the standard method. A low average error (0.48) was obtained when the hidden neuron (20) and the epochs (300) were used. (author)

Modeling and Investigation of the Wear Resistance of Salt Bath Nitrided Aisi 4140 via ANN

Science.gov (United States)

Ekinci, Şerafettin; Akdemir, Ahmet; Kahramanli, Humar

2013-05-01

Nitriding is usually used to improve the surface properties of steel materials. In this way, the wear resistance of steels is improved. We conducted a series of studies in order to investigate the microstructural, mechanical and tribological properties of salt bath nitrided AISI 4140 steel. The present study has two parts. For the first phase, the tribological behavior of the AISI 4140 steel which was nitrided in sulfinuz salt bath (SBN) was compared to the behavior of the same steel which was untreated. After surface characterization using metallography, microhardness and sliding wear tests were performed on a block-on-cylinder machine in which carbonized AISI 52100 steel discs were used as the counter face. For the examined AISI 4140 steel samples with and without surface treatment, the evolution of both the friction coefficient and of the wear behavior were determined under various loads, at different sliding velocities and a total sliding distance of 1000 m. The test results showed that wear resistance increased with the nitriding process, friction coefficient decreased due to the sulfur in salt bath and friction coefficient depended systematically on surface hardness. For the second part of this study, four artificial neural network (ANN) models were designed to predict the weight loss and friction coefficient of the nitrided and unnitrided AISI 4140 steel. Load, velocity and sliding distance were used as input. Back-propagation algorithm was chosen for training the ANN. Statistical measurements of R2, MAE and RMSE were employed to evaluate the success of the systems. The results showed that all the systems produced successful results.

Statistical analysis and ANN modeling for predicting hydrological extremes under climate change scenarios: the example of a small Mediterranean agro-watershed.

Science.gov (United States)

Kourgialas, Nektarios N; Dokou, Zoi; Karatzas, George P

2015-05-01

The purpose of this study was to create a modeling management tool for the simulation of extreme flow events under current and future climatic conditions. This tool is a combination of different components and can be applied in complex hydrogeological river basins, where frequent flood and drought phenomena occur. The first component is the statistical analysis of the available hydro-meteorological data. Specifically, principal components analysis was performed in order to quantify the importance of the hydro-meteorological parameters that affect the generation of extreme events. The second component is a prediction-forecasting artificial neural network (ANN) model that simulates, accurately and efficiently, river flow on an hourly basis. This model is based on a methodology that attempts to resolve a very difficult problem related to the accurate estimation of extreme flows. For this purpose, the available measurements (5 years of hourly data) were divided in two subsets: one for the dry and one for the wet periods of the hydrological year. This way, two ANNs were created, trained, tested and validated for a complex Mediterranean river basin in Crete, Greece. As part of the second management component a statistical downscaling tool was used for the creation of meteorological data according to the higher and lower emission climate change scenarios A2 and B1. These data are used as input in the ANN for the forecasting of river flow for the next two decades. The final component is the application of a meteorological index on the measured and forecasted precipitation and flow data, in order to assess the severity and duration of extreme events. Copyright © 2015 Elsevier Ltd. All rights reserved.

Prediction ofWater Quality Parameters (NO3, CL in Karaj Riverby Usinga Combinationof Wavelet Neural Network, ANN and MLRModels

Directory of Open Access Journals (Sweden)

T. Rajaee

2016-10-01

Full Text Available IntroductionThe water quality is an issue of ongoing concern. Evaluation of the quantity and quality of running waters is considerable in hydro-environmental management.The prediction and control of the quality of Karaj river water, as one of the important needed water supply sources of Tehran, possesses great importance. In this study, Performance of Artificial Neural Network (ANN, Wavelet Neural Network combination (WANN and multi linear regression (MLR models, to predict next month the Nitrate (NO3 and Chloride (CL ions of "gate ofBylaqan sluice" station located in Karaj River has been evaluated. Materials and MethodsIn this research two separate ANN models for prediction of NO3 and CL has been expanded. Each one of the parameters for prediction (NO3 / CL has been put related to the past amounts of the same time series (NO3 / CL and its amounts of Q in past months.From astatisticalperiod of10yearswas usedforthe input of the models. Hence 80% of entire data from (96 initial months of data as training set, next 10% of data (12 months and 10% of the end of time series (terminal 12 months were considered as for validation and test of the models, respectively. In WANNcombination model, the real monthly observed time series of river discharge (Q and mentioned qualityparameters(NO3 / CL were decomposed to some sub-time series at different levels by wavelet analysis.Then the decomposed quality parameters to predict and Q time series were used at different levels as inputs to the ANN technique for predicting one-step-ahead Nitrate and Chloride. These time series play various roles in the original time series and the behavior of each is distinct, so the contribution to the original time series varies from each other. In addition, prediction of high NO3 and CL values greater than mean of data that have great importancewere investigated by the models. The capability of the models was evaluated by Coefficient of Efficiency (E and the Root Mean Square

L’enseignement commercial aux XIXe et XXe siècles approché par le genre

OpenAIRE

Thivend, Marianne

2014-01-01

L’enseignement technique et professionnel des filles forme pendant longtemps un angle mort des recherches historiques. Quant à l’enseignement commercial, il ne suscite l’intérêt des chercheurs que pour ses niveaux supérieurs de formation. Cet article propose donc dans un premier temps de revenir sur les conditions de l’émergence, depuis une vingtaine d’années en France, de ces deux domaines de recherche et d’examiner les croisements déjà réalisés. Dans un second temps et à partir des chantier...

A. Bandura. Auto-efficacité. Le sentiment d’efficacité personnelle

OpenAIRE

Rondier, Maïlys

2009-01-01

Albert Bandura est docteur en psychologie et enseigne à l’université de Stanford (Californie). Il est l’auteur de L’Apprentissage social (Mardaga, 1985). Depuis les années 80, Albert Bandura s’intéresse au sentiment d’efficacité personnelle. Ce concept s’inscrit dans le cadre de la théorie sociocognitive (théorie issue du béhaviorisme et du cognitivisme). Selon cette théorie, le fonctionnement et le développement psychologique doivent être compris en considérant trois facteurs en interaction ...

Conference C.Rivière

CERN Document Server

Rivière,C

1992-01-01

le Docteur C.Rivière, médecin généraliste, homéopathe et acupuncteur, fait un exposé très intéréssant sur la "médécine des actes" qui continue à évoluer au sein d'un groupe de recherche et parle des résultats du travail d'une équipe sur plusieurs années. Il mentionne aussi l'association ARTAS, école de la vie, fondé en 1983 par Bernard Montaud, un accompagnement pour améliorer son existence

Prediction of GWL with the help of GRACE TWS for unevenly spaced time series data in India : Analysis of comparative performances of SVR, ANN and LRM

Science.gov (United States)

Mukherjee, Amritendu; Ramachandran, Parthasarathy

2018-03-01

Prediction of Ground Water Level (GWL) is extremely important for sustainable use and management of ground water resource. The motivations for this work is to understand the relationship between Gravity Recovery and Climate Experiment (GRACE) derived terrestrial water change (ΔTWS) data and GWL, so that ΔTWS could be used as a proxy measurement for GWL. In our study, we have selected five observation wells from different geographic regions in India. The datasets are unevenly spaced time series data which restricts us from applying standard time series methodologies and therefore in order to model and predict GWL with the help of ΔTWS, we have built Linear Regression Model (LRM), Support Vector Regression (SVR) and Artificial Neural Network (ANN). Comparative performances of LRM, SVR and ANN have been evaluated with the help of correlation coefficient (ρ) and Root Mean Square Error (RMSE) between the actual and fitted (for training dataset) or predicted (for test dataset) values of GWL. It has been observed in our study that ΔTWS is highly significant variable to model GWL and the amount of total variations in GWL that could be explained with the help of ΔTWS varies from 36.48% to 74.28% (0.3648 ⩽R2 ⩽ 0.7428) . We have found that for the model GWL ∼ Δ TWS, for both training and test dataset, performances of SVR and ANN are better than that of LRM in terms of ρ and RMSE. It also has been found in our study that with the inclusion of meteorological variables along with ΔTWS as input parameters to model GWL, the performance of SVR improves and it performs better than ANN. These results imply that for modelling irregular time series GWL data, ΔTWS could be very useful.

Comparative ANNs with Different Input Layers and GA-PLS Study for Simultaneous Spectrofluorimetric Determination of Melatonin and Pyridoxine HCl in the Presence of Melatonin’s Main Impurity

Directory of Open Access Journals (Sweden)

Amer M. Alanazi

2013-01-01

Full Text Available Melatonin (MLT has many health implications, therefore it is important to develop specific analytical methods for the determination of MLT in the presence of its main impurity, N-{2-[1-({3-[2-(acetylaminoethyl]-5-methoxy-1H-indol-2-yl}methyl-5-methoxy-1H-indol-3-yl]ethyl}acetaamide (DMLT and pyridoxine HCl (PNH as a co-formulated drug. This work describes simple, sensitive, and reliable four multivariate calibration methods, namely artificial neural network preceded by genetic algorithm (GA-ANN, principal component analysis (PCA-ANN and wavelet transform procedures (WT-ANN as well as partial least squares preceded by genetic algorithm (GA-PLS for the spectrofluorimetric determination of MLT and PNH in the presence of DMLT. Analytical performance of the proposed methods was statistically validated with respect to linearity, accuracy, precision and specificity. The proposed methods were successfully applied for the assay of MLT in laboratory prepared mixtures containing up to 15% of DMLT and in commercial MLT tablets with recoveries of no less than 99.00%. No interference was observed from common pharmaceutical additives and the results compared favorably with those obtained by a reference method.

Reliable and accurate point-based prediction of cumulative infiltration using soil readily available characteristics: A comparison between GMDH, ANN, and MLR

Science.gov (United States)

Rahmati, Mehdi

2017-08-01

Developing accurate and reliable pedo-transfer functions (PTFs) to predict soil non-readily available characteristics is one of the most concerned topic in soil science and selecting more appropriate predictors is a crucial factor in PTFs' development. Group method of data handling (GMDH), which finds an approximate relationship between a set of input and output variables, not only provide an explicit procedure to select the most essential PTF input variables, but also results in more accurate and reliable estimates than other mostly applied methodologies. Therefore, the current research was aimed to apply GMDH in comparison with multivariate linear regression (MLR) and artificial neural network (ANN) to develop several PTFs to predict soil cumulative infiltration point-basely at specific time intervals (0.5-45 min) using soil readily available characteristics (RACs). In this regard, soil infiltration curves as well as several soil RACs including soil primary particles (clay (CC), silt (Si), and sand (Sa)), saturated hydraulic conductivity (Ks), bulk (Db) and particle (Dp) densities, organic carbon (OC), wet-aggregate stability (WAS), electrical conductivity (EC), and soil antecedent (θi) and field saturated (θfs) water contents were measured at 134 different points in Lighvan watershed, northwest of Iran. Then, applying GMDH, MLR, and ANN methodologies, several PTFs have been developed to predict cumulative infiltrations using two sets of selected soil RACs including and excluding Ks. According to the test data, results showed that developed PTFs by GMDH and MLR procedures using all soil RACs including Ks resulted in more accurate (with E values of 0.673-0.963) and reliable (with CV values lower than 11 percent) predictions of cumulative infiltrations at different specific time steps. In contrast, ANN procedure had lower accuracy (with E values of 0.356-0.890) and reliability (with CV values up to 50 percent) compared to GMDH and MLR. The results also revealed

Identification and synchronization of the common cosmic-ray signal in the IntCal13 14C calibration and the Greenland ice-core 10Be records

Science.gov (United States)

Muscheler, Raimund; Adolphi, Florian; Bronk Ramsey, Christopher; Rasmussen, Sune; Hughen, Konrad; Cooper, Alan; Turney, Chris

2017-04-01

The production rates of cosmogenic radionuclides (such as 10Be and 14C) are modulated by the solar and geomagnetic shielding of galactic cosmic rays. In addition, 14C and 10Be are influenced by the carbon cycle and the atmospheric transport and deposition, respectively. Isolating and identifying the common production signal allows us to synchronize ice core 10Be and tree ring 14C records during the Holocene (Adolphi and Muscheler, 2016), thereby connecting ice core climate records with 14C-dated records. Extending this comparison further back in time is challenging due to deteriorating quality of the 14C calibration record, IntCal13, (Reimer et al., 2013) and possible unidentified climate influences on the ice-core 10Be records. Nevertheless, by focusing on the most prominent production-rate features this comparison can be extended far back into the last glacial where, for example, the linkage of tree-ring based Kauri 14C data and the Greenland ice-core time scale (GICC05) suggested unresolved data and/or time scale differences around the period of the Laschamp geomagnetic field minimum at about 42000 yrs BP (Muscheler et al., 2014). Here we show that the data underlying the IntCal13 14C record and the ice-core 10Be records exhibit common variability that allows us to tentatively link the ice core GICC05 time scale to the radiocarbon time scale for almost the complete radiocarbon dating range. The observed time scale differences could be related to uncertainties in both the U/Th-based dating of the IntCal13 calibration data set and the GICC05 time scale, and we show that the two can be reconciled within the uncertainties of the ice-core layer counting. This direct comparison between IntCal13 and 10Be also suggests that the 14C differences shown in (Muscheler et al., 2014) around the Laschamp geomagnetic field minimum can be reduced by moderate adjustments to the GICC05 time scale. References: Adolphi, F., and Muscheler, R., 2016, Synchronizing the Greenland ice

Applying of the Artificial Neural Networks (ANN) to Identify and Characterize Sweet Spots in Shale Gas Formations

Science.gov (United States)

Puskarczyk, Edyta

2018-03-01

The main goal of the study was to enhance and improve information about the Ordovician and Silurian gas-saturated shale formations. Author focused on: firstly, identification of the shale gas formations, especially the sweet spots horizons, secondly, classification and thirdly, the accurate characterization of divisional intervals. Data set comprised of standard well logs from the selected well. Shale formations are represented mainly by claystones, siltstones, and mudstones. The formations are also partially rich in organic matter. During the calculations, information about lithology of stratigraphy weren't taken into account. In the analysis, selforganizing neural network - Kohonen Algorithm (ANN) was used for sweet spots identification. Different networks and different software were tested and the best network was used for application and interpretation. As a results of Kohonen networks, groups corresponding to the gas-bearing intervals were found. The analysis showed diversification between gas-bearing formations and surrounding beds. It is also shown that internal diversification in sweet spots is present. Kohonen algorithm was also used for geological interpretation of well log data and electrofacies prediction. Reliable characteristic into groups shows that Ja Mb and Sa Fm which are usually treated as potential sweet spots only partially have good reservoir conditions. It is concluded that ANN appears to be useful and quick tool for preliminary classification of members and sweet spots identification.

Evaluation Of The Advanced Operating System Of The Ann Arbor Transportation Authority : Cost Study : Before, During And After AOS Implementation (October 1996-May 1999)

Science.gov (United States)

1999-01-01

In 1997, the Ann Arbor (Michigan) Transportation Authority (AATA) began deploying advanced public transportation systems (APTS) technologies in its fixed route and paratransit operations. The project's concept is the integration of a range of such te...

Continental visions: Ann Seidman, Reginald H. Green and the economics of African unity in 1960s Ghana

OpenAIRE

Serra, Gerardo

2014-01-01

The paper presents the history of the contribution of two American economists to a radical cause: the establishment of a socialist and politically united Africa. The setting is 1960s Ghana which under Kwame Nkrumah, the man who led the country to independence from British colonial rule, emerged as the epicentre of this Pan-African vision. Ann Seidman and Reginald H. Green became, as members of the research team on 'The Economics of African Unity' established at the University of Ghana in 1963...

A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain

OpenAIRE

Patricia Jimeno-Sáez; Javier Senent-Aparicio; Julio Pérez-Sánchez; David Pulido-Velazquez

2018-01-01

Streamflow data are of prime importance to water-resources planning and management, and the accuracy of their estimation is very important for decision making. The Soil and Water Assessment Tool (SWAT) and Artificial Neural Network (ANN) models have been evaluated and compared to find a method to improve streamflow estimation. For a more complete evaluation, the accuracy and ability of these streamflow estimation models was also established separately based on their performance during differe...

Daily reservoir inflow forecasting combining QPF into ANNs model

Science.gov (United States)

Zhang, Jun; Cheng, Chun-Tian; Liao, Sheng-Li; Wu, Xin-Yu; Shen, Jian-Jian

2009-01-01

Daily reservoir inflow predictions with lead-times of several days are essential to the operational planning and scheduling of hydroelectric power system. The demand for quantitative precipitation forecasting (QPF) is increasing in hydropower operation with the dramatic advances in the numerical weather prediction (NWP) models. This paper presents a simple and an effective algorithm for daily reservoir inflow predictions which solicits the observed precipitation, forecasted precipitation from QPF as predictors and discharges in following 1 to 6 days as predicted targets for multilayer perceptron artificial neural networks (MLP-ANNs) modeling. An improved error back-propagation algorithm with self-adaptive learning rate and self-adaptive momentum coefficient is used to make the supervised training procedure more efficient in both time saving and search optimization. Several commonly used error measures are employed to evaluate the performance of the proposed model and the results, compared with that of ARIMA model, show that the proposed model is capable of obtaining satisfactory forecasting not only in goodness of fit but also in generalization. Furthermore, the presented algorithm is integrated into a practical software system which has been severed for daily inflow predictions with lead-times varying from 1 to 6 days of more than twenty reservoirs operated by the Fujian Province Grid Company, China.

An Experimental Investigation into the Optimal Processing Conditions for the CO2 Laser Cladding of 20 MnCr5 Steel Using Taguchi Method and ANN

Science.gov (United States)

Mondal, Subrata; Bandyopadhyay, Asish.; Pal, Pradip Kumar

2010-10-01

This paper presents the prediction and evaluation of laser clad profile formed by means of CO2 laser applying Taguchi method and the artificial neural network (ANN). Laser cladding is one of the surface modifying technologies in which the desired surface characteristics of any component can be achieved such as good corrosion resistance, wear resistance and hardness etc. Laser is used as a heat source to melt the anti-corrosive powder of Inconel-625 (Super Alloy) to give a coating on 20 MnCr5 substrate. The parametric study of this technique is also attempted here. The data obtained from experiments have been used to develop the linear regression equation and then to develop the neural network model. Moreover, the data obtained from regression equations have also been used as supporting data to train the neural network. The artificial neural network (ANN) is used to establish the relationship between the input/output parameters of the process. The established ANN model is then indirectly integrated with the optimization technique. It has been seen that the developed neural network model shows a good degree of approximation with experimental data. In order to obtain the combination of process parameters such as laser power, scan speed and powder feed rate for which the output parameters become optimum, the experimental data have been used to develop the response surfaces.

Le projet MP5 Gestion de la maintenance assistée par ordinateur

CERN Document Server

Oliger, S

2001-01-01

L'année 2000 marque un tournant dans la manière d'appréhender l'activité de maintenance dans la division ST. Les méthodes, jusqu'alors basées sur une approche corporative relayée par des outils informatiques d'ancienne génération, ont évolué vers une approche intégrée. Ce document décrit tous les aspects du projet de migration de l'ancien logiciel RAPIER vers le nouveau logiciel MP5: définition des ressources, identification des contraintes et des facteurs de succès critiques, planification, unification des méthodes et des données, migration informatique, formation du personnel et mise en service. Il présente également les intégrations réalisées avec d'autres logiciels, les possibilités d'évolution pour la division et les perspectives de généralisation pour le CERN.

Prediction of size-fractionated airborne particle-bound metals using MLR, BP-ANN and SVM analyses.

Science.gov (United States)

Leng, Xiang'zi; Wang, Jinhua; Ji, Haibo; Wang, Qin'geng; Li, Huiming; Qian, Xin; Li, Fengying; Yang, Meng

2017-08-01

Size-fractionated heavy metal concentrations were observed in airborne particulate matter (PM) samples collected from 2014 to 2015 (spanning all four seasons) from suburban (Xianlin) and industrial (Pukou) areas in Nanjing, a megacity of southeast China. Rapid prediction models of size-fractionated metals were established based on multiple linear regression (MLR), back propagation artificial neural network (BP-ANN) and support vector machine (SVM) by using meteorological factors and PM concentrations as input parameters. About 38% and 77% of PM 2.5 concentrations in Xianlin and Pukou, respectively, were beyond the Chinese National Ambient Air Quality Standard limit of 75 μg/m 3 . Nearly all elements had higher concentrations in industrial areas, and in winter among the four seasons. Anthropogenic elements such as Pb, Zn, Cd and Cu showed larger percentages in the fine fraction (ø≤2.5 μm), whereas the crustal elements including Al, Ba, Fe, Ni, Sr and Ti showed larger percentages in the coarse fraction (ø > 2.5 μm). SVM showed a higher training correlation coefficient (R), and lower mean absolute error (MAE) as well as lower root mean square error (RMSE), than MLR and BP-ANN for most metals. All the three methods showed better prediction results for Ni, Al, V, Cd and As, whereas relatively poor for Cr and Fe. The daily airborne metal concentrations in 2015 were then predicted by the fully trained SVM models and the results showed the heaviest pollution of airborne heavy metals occurred in December and January, whereas the lightest pollution occurred in June and July. Copyright © 2017 Elsevier Ltd. All rights reserved.

Comparison of ANN and SVM for classification of eye movements in EOG signals

Science.gov (United States)

Qi, Lim Jia; Alias, Norma

2018-03-01

Nowadays, electrooculogram is regarded as one of the most important biomedical signal in measuring and analyzing eye movement patterns. Thus, it is helpful in designing EOG-based Human Computer Interface (HCI). In this research, electrooculography (EOG) data was obtained from five volunteers. The (EOG) data was then preprocessed before feature extraction methods were employed to further reduce the dimensionality of data. Three feature extraction approaches were put forward, namely statistical parameters, autoregressive (AR) coefficients using Burg method, and power spectral density (PSD) using Yule-Walker method. These features would then become input to both artificial neural network (ANN) and support vector machine (SVM). The performance of the combination of different feature extraction methods and classifiers was presented and analyzed. It was found that statistical parameters + SVM achieved the highest classification accuracy of 69.75%.

La mosquée chinoise : support d’identités  et  de modernités

Directory of Open Access Journals (Sweden)

Elisabeth Allès

2012-01-01

Full Text Available Avec les réformes des années 1980, l’islam en Chine a retrouvé ses espaces de pratique et d'expression religieuses. Ces vingt dernières années ont été marquées par les restaurations et les nouvelles constructions de mosquées. On compte aujourd'hui officiellement plus de 40 000 mosquées dispersées sur l'ensemble du territoire dont la moitié en Chine intérieure.  Les mosquées traditionnelles en forme de pagode tendent à disparaître peu à peu au profit de bâtisses aux styles cherchant à se rapprocher d'un modèle moyen-oriental et à exprimer une idée de la "modernité". Marqueur identitaire, la mosquée en Chine est aussi le reflet du statut social d’une communauté et un espace de compétition entre courants religieux.

Recovering information of tunneling spectrum from weakly isolated horizon

Energy Technology Data Exchange (ETDEWEB)

Chen, Ge-Rui; Huang, Yong-Chang [Beijing University of Technology, Institute of Theoretical Physics, Beijing (China)

2015-02-01

In this paper we investigate the properties of tunneling spectrum from weakly isolated horizon (WIH) - a locally defined black hole. We find that there exist correlations among Hawking radiations from a WIH, information can be carried out by such correlations, and the radiation is an entropy conservation process. Through revisiting the calculation of the tunneling spectrum from a WIH, we find that Zhang et al.'s (Ann Phys 326:350, 2011) requirement that radiated particles have the same angular momenta of a unit mass as that of the black hole is unnecessary, and the energy and angular momenta of the emitted particles are very arbitrary, restricted only by keeping the cosmic censorship hypothesis of black holes. So we resolve the information loss paradox based on the method of Zhang et al. (Phys Lett B 675:98, 2009; Ann Phys 326:350, 2011; Int J Mod Phys D 22:1341014, 2013) in a general case. (orig.)

A Review of Forensic Science Management Literature.

Science.gov (United States)

Houck, M M; McAndrew, W P; Porter, M; Davies, B

2015-01-01

The science in forensic science has received increased scrutiny in recent years, but interest in how forensic science is managed is a relatively new line of research. This paper summarizes the literature in forensic science management generally from 2009 to 2013, with some recent additions, to provide an overview of the growth of topics, results, and improvements in the management of forensic services in the public and private sectors. This review covers only the last three years or so and a version of this paper was originally produced for the 2013 Interpol Forensic Science Managers Symposium and is available at interpol.int. Copyright © 2015 Central Police University.

Prediction of the Effect of Using Stone Column in Clayey Soil on the Behavior of Circular Footing by ANN Model

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Omar Khaleel Ismael Al-Kubaisi

2018-05-01

Full Text Available Shallow foundations are usually used for structures with light to moderate loads where the soil underneath can carry them. In some cases, soil strength and/or other properties are not adequate and require improvement using one of the ground improvement techniques. Stone column is one of the common improvement techniques in which a column of stone is installed vertically in clayey soils. Stone columns are usually used to increase soil strength and to accelerate soil consolidation by acting as vertical drains. Many researches have been done to estimate the behavior of the improved soil. However, none of them considered the effect of stone column geometry on the behavior of the circular footing. In this research, finite element models have been conducted to evaluate the behavior of a circular footing with different stone column configurations. Moreover, an Artificial Neural Network (ANN model has been generated for predicting these effects. The results showed a reduction in the bending moment, the settlement, and the vertical stresses with the increment of the stone column length, while both the horizontal stress and the shear force were increased. ANN model showed a good relationship between the predicted and the calculated results.