Anne Fine

Directory of Open Access Journals (Sweden)

Philip Gaydon

2015-04-01

Full Text Available An interview with Anne Fine with an introduction and aside on the role of children’s literature in our lives and development, and our adult perceptions of the suitability of childhood reading material. Since graduating from Warwick in 1968 with a BA in Politics and History, Anne Fine has written over fifty books for children and eight for adults, won the Carnegie Medal twice (for Goggle-Eyes in 1989 and Flour Babies in 1992, been a highly commended runner-up three times (for Bill’s New Frock in 1989, The Tulip Touch in 1996, and Up on Cloud Nine in 2002, been shortlisted for the Hans Christian Andersen Award (the highest recognition available to a writer or illustrator of children’s books, 1998, undertaken the positon of Children’s Laureate (2001-2003, and been awarded an OBE for her services to literature (2003. Warwick presented Fine with an Honorary Doctorate in 2005. Philip Gaydon’s interview with Anne Fine was recorded as part of the ‘Voices of the University’ oral history project, co-ordinated by Warwick’s Institute of Advanced Study.

Effects of genetically modified cotton stalks on antibiotic resistance genes, intI1, and intI2 during pig manure composting.

Science.gov (United States)

Duan, Manli; Gu, Jie; Wang, Xiaojuan; Li, Yang; Zhang, Sheqi; Yin, Yanan; Zhang, Ranran

2018-01-01

Genetically modified (GM) cotton production generates a large yield of stalks and their disposal is difficult. In order to study the feasibility of using GM cotton stalks for composting and the changes that occur in antibiotic resistance genes (ARGs) during composting, we supplemented pig manure with GM or non-GM cotton stalks during composting and we compared their effects on the absolute abundances (AA) of intI1, intI2, and ARGs under the two treatments. The compost was mature after processing based on the germination index and C/N ratio. After composting, the AAs of ARGs, intI1, and intI2 were reduced by 41.7% and 45.0% in the non-GM and GM treatments, respectively. The ARG profiles were affected significantly by temperature and ammonia nitrogen. In addition, excluding tetC, GM cotton stalks had no significant effects on ARGs, intI1, and intI2 compared with the non-GM treatment (p composting with livestock manure, and the AAs of ARGs can be reduced. Furthermore, the results of this study provide a theoretical basis for the harmless utilization of GM cotton stalks. Copyright © 2017 Elsevier Inc. All rights reserved.

Ann Tenno salapaigad / Margit Tõnson

Index Scriptorium Estoniae

Tõnson, Margit, 1978-

2011-01-01

Fotograaf Ann Tenno aiandushuvist, pildistamisest maailma erinevates paikades. Uutest suundadest (fototöötlus, fractal art, soojuskaameraga pildistamine) tema loomingus. Katkendeid Ann Tenno 2010. aastal ilmunud proosaraamatust "Üle unepiiri"

Annely Peebo kutsus presidendi kontserdile / Maria Ulfsak

Index Scriptorium Estoniae

Ulfsak, Maria, 1981-

2003-01-01

Laulja Anneli Peebo kohtus president Arnold Rüütliga, et anda üle kutse Andrea Bocelli ja Annely Peebo ühiskontserdile. Vt. samas: Andrea Bocelli ja Annely Peebo kontsert Tallinna lauluväljakul 23. augustil; Andrea Bocelli

Super capacitor modeling with artificial neural network (ANN)

Energy Technology Data Exchange (ETDEWEB)

Marie-Francoise, J.N.; Gualous, H.; Berthon, A. [Universite de Franche-Comte, Lab. en Electronique, Electrotechnique et Systemes (L2ES), UTBM, INRETS (LRE T31) 90 - Belfort (France)

2004-07-01

This paper presents super-capacitors modeling using Artificial Neural Network (ANN). The principle consists on a black box nonlinear multiple inputs single output (MISO) model. The system inputs are temperature and current, the output is the super-capacitor voltage. The learning and the validation of the ANN model from experimental charge and discharge of super-capacitor establish the relationship between inputs and output. The learning and the validation of the ANN model use experimental results of 2700 F, 3700 F and a super-capacitor pack. Once the network is trained, the ANN model can predict the super-capacitor behaviour with temperature variations. The update parameters of the ANN model are performed thanks to Levenberg-Marquardt method in order to minimize the error between the output of the system and the predicted output. The obtained results with the ANN model of super-capacitor and experimental ones are in good agreement. (authors)

Anne-Mette Langes plan for ADHD kongressen

DEFF Research Database (Denmark)

Lange, Anne-Mette

2017-01-01

http://medicinsktidsskrift.dk/behandlinger/psykiatri/699-anne-mette-langes-plan-for-adhd-kongressen.html......http://medicinsktidsskrift.dk/behandlinger/psykiatri/699-anne-mette-langes-plan-for-adhd-kongressen.html...

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.

Tillverkningsmetod för tillverkning av däcksluckor med glas

OpenAIRE

Gripenberg, Lars

2010-01-01

Arbetet går ut på att hitta ett system för att tillverka däcksluckor med glas internt på Nautor. Detta är idag en produkt som vi köper utifrån av en extern leverantör till höga priser därför att vi inte själva har ett fungerande koncept för dylika produkter. Arbetet består av att kartlägga vilka olika tillverkningsmetoder som finns som är lämpade för detta ändamål, (Handlaminat, Injecering, Prepreg, mm). En eller två tillverkningsmetoder väljs ut och därefter tillverkas ett provexemp...

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.

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 ...

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.

Poetiske livtag med kristendommen

DEFF Research Database (Denmark)

Larsen, Peter Stein

2015-01-01

Færøerne har to betydelige nulevende digtere, der adskillige gange er blevet oversat til dansk og flere gange Fer blevet nomineret til Nordisk Råds Pris, nemlig Jóannes Nielsen og Tóroddur Poulsen.......Færøerne har to betydelige nulevende digtere, der adskillige gange er blevet oversat til dansk og flere gange Fer blevet nomineret til Nordisk Råds Pris, nemlig Jóannes Nielsen og Tóroddur Poulsen....

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.

Advancing PubMed?

DEFF Research Database (Denmark)

Wildgaard, Lorna Elizabeth; Lund, Haakon

2016-01-01

the efficiency of biomedical literature searches. PubMed remains the primary resource for biomedical literature, and as PubMed makes the Medline data and Entrez PubMed Programming utilities freely available, any developer can produce alternative tools to search the database. The authors question if PubMed still...... provides the superior search interface for systematic searches or if the innovativeness of third-party tools provide alternatives worth considering. The paper aims to discuss these issues. Design/methodology/approach In all, 76 third-party tools that build on PubMed content were identified in a PubMed...... search and in published studies known to the authors. Only tools that provided free access to the broad PubMed content and designed specifically to enhance the search were included, reducing the set to 16 tools. The functionality of each tool within the scenario of a systematic search was compared across...

[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

Gruppemusikterapi med patienter med borderline-personlighedsforstyrrelse i dagbehandlingsregi

DEFF Research Database (Denmark)

Hannibal, Niels

2008-01-01

Denne artikel er første redegørelse for de erfaringer, som er gjort med gruppemusikterapi (GMT) for patienter med borderline-personlighedsforstyrrelse (BPF) i dagbehandlingsregi på Aalborg Psykiatriske Sygehus. Artiklen indeholder både konkrete anvisninger til aktiviteter og interventioner, liges...

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.

PubMedReco: A Real-Time Recommender System for PubMed Citations.

Science.gov (United States)

Samuel, Hamman W; Zaïane, Osmar R

2017-01-01

We present a recommender system, PubMedReco, for real-time suggestions of medical articles from PubMed, a database of over 23 million medical citations. PubMedReco can recommend medical article citations while users are conversing in a synchronous communication environment such as a chat room. Normally, users would have to leave their chat interface to open a new web browser window, and formulate an appropriate search query to retrieve relevant results. PubMedReco automatically generates the search query and shows relevant citations within the same integrated user interface. PubMedReco analyzes relevant keywords associated with the conversation and uses them to search for relevant citations using the PubMed E-utilities programming interface. Our contributions include improvements to the user experience for searching PubMed from within health forums and chat rooms, and a machine learning model for identifying relevant keywords. We demonstrate the feasibility of PubMedReco using BMJ's Doc2Doc forum discussions.

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...

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)

Musikterapi med børn med svær autisme - en litteraturgennemgang

Directory of Open Access Journals (Sweden)

Ulla Holck

2003-03-01

Full Text Available Faglitteratur om musikterapi med børn med autisme er omfattende og indeholder såvel kvalitative case-beskrivelser som kvantitative forskningsundersøgelser. I artiklen gennemgås faglitteraturen systematisk med henblik på at specifi cere musikterapiens effekt og virkemåder i forhold til denne målgruppe. Vægten ligger på børn med svær autisme, men litteratur om voksne højtfungerende personer med autisme inddrages også. Forskningslitteraturen viser, at det især er inden for områderne koncentration, visuel opmærksomhed, respons og initiativ, samt brug af stemme og tur-tagning, at musikterapi har en effekt. Case-litteraturen begrunder denne effekt med musikkens evne til at være redundant, anvendelse af imitation og responsfremmende teknikker (overraskelse etc., fælles opbyggede samspilsformer, samt det temporale-interaktive element i improvisatorisk musikterapi. Ud fra en interaktionsteoretisk indfaldsvinkel sammenkobles effekten endvidere med, at den musikalske interaktion hjælper musikterapeuten til at fastholde et dynamisk udtryk, hvilket er afgørende i forhold til en klientgruppe, der ofte giver ´flad´ eller stærkt afvigende feedback.

Nostalgitrip med Pikachu

DEFF Research Database (Denmark)

Konzack, Lars

2016-01-01

Sommeren 2016 vil blive husket for den omsiggribende dille, Pokémon Go, med over 100 millioner downloads. Tusindvis af især børn og unge, men også forældre med barnevogne og hele familier, kunne pludselig ses på gader og stræder, i parker og grønne områder med en smartphone i hånden på jagt efter...

Interview med børn

DEFF Research Database (Denmark)

Interview med børn handler om børneinterview i forbindelse med forskning. Bogen er tænkt som inspiration til og afsæt for metodiske refleksioner i forbindelse med inddragelse af børn som informanter.......Interview med børn handler om børneinterview i forbindelse med forskning. Bogen er tænkt som inspiration til og afsæt for metodiske refleksioner i forbindelse med inddragelse af børn som informanter....

Virtuelt skrivebord med open office

DEFF Research Database (Denmark)

Nielsen, Kurt Gammelgaard

2009-01-01

SDUs erfaringer med projektet Port 22: en virtuel platform med Open Office som kontorpakke til studerende.......SDUs erfaringer med projektet Port 22: en virtuel platform med Open Office som kontorpakke til studerende....

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.

Mediator Complex Subunits MED2, MED5, MED16, and MED23 Genetically Interact in the Regulation of Phenylpropanoid Biosynthesis.

Science.gov (United States)

Dolan, Whitney L; Dilkes, Brian P; Stout, Jake M; Bonawitz, Nicholas D; Chapple, Clint

2017-12-01

The phenylpropanoid pathway is a major global carbon sink and is important for plant fitness and the engineering of bioenergy feedstocks. In Arabidopsis thaliana , disruption of two subunits of the transcriptional regulatory Mediator complex, MED5a and MED5b, results in an increase in phenylpropanoid accumulation. By contrast, the semidominant MED5b mutation reduced epidermal fluorescence4-3 ( ref4-3 ) results in dwarfism and constitutively repressed phenylpropanoid accumulation. Here, we report the results of a forward genetic screen for suppressors of ref4-3. We identified 13 independent lines that restore growth and/or phenylpropanoid accumulation in the ref4-3 background. Two of the suppressors restore growth without restoring soluble phenylpropanoid accumulation, indicating that the growth and metabolic phenotypes of the ref4-3 mutant can be genetically disentangled. Whole-genome sequencing revealed that all but one of the suppressors carry mutations in MED5b or other Mediator subunits. RNA-seq analysis showed that the ref4-3 mutation causes widespread changes in gene expression, including the upregulation of negative regulators of the phenylpropanoid pathway, and that the suppressors reverse many of these changes. Together, our data highlight the interdependence of individual Mediator subunits and provide greater insight into the transcriptional regulation of phenylpropanoid biosynthesis by the Mediator complex. © 2017 American Society of Plant Biologists. All rights reserved.

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...

MedSun Reports

Data.gov (United States)

U.S. Department of Health & Human Services — The Medical Product Safety Network (MedSun) is an adverse event reporting program launched in 2002. The primary goal for MedSun is to work collaboratively with the...

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.

The MedDRA paradox.

Science.gov (United States)

Merrill, Gary H

2008-11-06

MedDRA (the Medical Dictionary for Regulatory Activities Terminology) is a controlled vocabulary widely used as a medical coding scheme. However, MedDRA's characterization of its structural hierarchy exhibits some confusing and paradoxical features. The goal of this paper is to examine these features, determine whether there is a coherent view of the MedDRA hierarchy that emerges, and explore what lessons are to be learned from this for using MedDRA and similar terminologies in a broad medical informatics context that includes relations among multiple disparate terminologies, thesauri, and ontologies.

Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed Users

Science.gov (United States)

2015-01-01

Background PubMed is the largest biomedical bibliographic information source on the Internet. PubMed has been considered one of the most important and reliable sources of up-to-date health care evidence. Previous studies examined the effects of domain expertise/knowledge on search performance using PubMed. However, very little is known about PubMed users’ knowledge of information retrieval (IR) functions and their usage in query formulation. Objective The purpose of this study was to shed light on how experienced/nonexperienced PubMed users perform their search queries by analyzing a full-day query log. Our hypotheses were that (1) experienced PubMed users who use system functions quickly retrieve relevant documents and (2) nonexperienced PubMed users who do not use them have longer search sessions than experienced users. Methods To test these hypotheses, we analyzed PubMed query log data containing nearly 3 million queries. User sessions were divided into two categories: experienced and nonexperienced. We compared experienced and nonexperienced users per number of sessions, and experienced and nonexperienced user sessions per session length, with a focus on how fast they completed their sessions. Results To test our hypotheses, we measured how successful information retrieval was (at retrieving relevant documents), represented as the decrease rates of experienced and nonexperienced users from a session length of 1 to 2, 3, 4, and 5. The decrease rate (from a session length of 1 to 2) of the experienced users was significantly larger than that of the nonexperienced groups. Conclusions Experienced PubMed users retrieve relevant documents more quickly than nonexperienced PubMed users in terms of session length. PMID:26139516

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)

Evaluering af ordning med psykologbehandling af personer med let til moderat depression

DEFF Research Database (Denmark)

Fjeldsted, Rita; Christensen, Kaj Sparle

Herværende rapport evaluerer den pr. 1.4.2008 indførte ordning med mulighed for henvisning til psykologbehandling med 60 % tilskud for patienter med let til moderat depression. Evalueringen har betjent sig af flere gensidigt supplerende metoder: spørgeskemaundersøgelser overfor patienter, psykolo......Herværende rapport evaluerer den pr. 1.4.2008 indførte ordning med mulighed for henvisning til psykologbehandling med 60 % tilskud for patienter med let til moderat depression. Evalueringen har betjent sig af flere gensidigt supplerende metoder: spørgeskemaundersøgelser overfor patienter...... tidligere evaluering af forsøgsordning af psykologbehandling af depression i perioden 2005-06. 18.419 personer i alderen 18-37 år blev henvist til psykolog i den undersøgte ordning i perioden 1.2.2009 – 31.1.2010, svarende til en henvisningshyppighed på 1,6 % af baggrundsbefolkningen i samme aldersgruppe....... Ordningen giver mulighed for én rehenvisning, og 9 % blev rehenvist i perioden. Spørgeskemaresultater viser, at kun 33 % af de henviste falder ind under henvisningskriteriet ” let til moderat depression” på tidspunktet for opstart af psykologbehandling, 39 % har ingen tegn på depression, og 28 % har svær...

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.

Sammensvorne designere med succes

DEFF Research Database (Denmark)

Dickson, Thomas

2005-01-01

Den danske tegnestue Komplot Design har for nylig oplevet den ære, at to af deres stole bliver brugt i cafeerne på det nyindrettede Museum of Modern Art i New York. Men det er ikke kun med møbler, de har succes - tegnestuen kaster sig med iver over mange slags produkter.......Den danske tegnestue Komplot Design har for nylig oplevet den ære, at to af deres stole bliver brugt i cafeerne på det nyindrettede Museum of Modern Art i New York. Men det er ikke kun med møbler, de har succes - tegnestuen kaster sig med iver over mange slags produkter....

Processeringsoptimering med Canons software

DEFF Research Database (Denmark)

Precht, Helle

2009-01-01

. Muligheder i software optimering blev studeret i relation til optimal billedkvalitet og kontrol optagelser, for at undersøge om det var muligt at acceptere diagnostisk billedkvalitet og derved tage afsæt i ALARA. Metode og materialer Et kvantitativt eksperimentelt studie baseret på forsøg med teknisk og...... humant fantom. CD Rad fantom anvendes som teknisk fantom, hvor billederne blev analyseret med CD Rad software, og resultatet var en objektiv IQF værdi. Det humane fantom var et lamme pelvis med femur, der via NRPB’ er sammenlignelig med absorptionen ved et femårigt barn. De humane forsøgsbilleder blev...

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.

PubMed-EX: a web browser extension to enhance PubMed search with text mining features.

Science.gov (United States)

Tsai, Richard Tzong-Han; Dai, Hong-Jie; Lai, Po-Ting; Huang, Chi-Hsin

2009-11-15

PubMed-EX is a browser extension that marks up PubMed search results with additional text-mining information. PubMed-EX's page mark-up, which includes section categorization and gene/disease and relation mark-up, can help researchers to quickly focus on key terms and provide additional information on them. All text processing is performed server-side, freeing up user resources. PubMed-EX is freely available at http://bws.iis.sinica.edu.tw/PubMed-EX and http://iisr.cse.yzu.edu.tw:8000/PubMed-EX/.

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.

Ulykke med hækkesaks

DEFF Research Database (Denmark)

Leth, Peter Mygind

1996-01-01

Snitsår med blødning fra en overskåret pulsåre på armen forekommer hyppigt ved selvmordsforsøg, men har sjældent et dødeligt forløb. Her gives et eksempel på en isoleret partiel overklipning af a.ulnaris ved en ulykke med en hækkesaks med dødelig forløbende blødning.......Snitsår med blødning fra en overskåret pulsåre på armen forekommer hyppigt ved selvmordsforsøg, men har sjældent et dødeligt forløb. Her gives et eksempel på en isoleret partiel overklipning af a.ulnaris ved en ulykke med en hækkesaks med dødelig forløbende blødning....

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.

Relevansen af nyere psykodynamisk teori for det klinisk musikterapeutiske arbejde med psykiatriske patienter med personlighedsforstyrrelser

DEFF Research Database (Denmark)

Hannibal, Niels

2007-01-01

Denne artikel beskriver et rationale for anvendelse af musik i en psykoterapeutisk kontekst. Det eksplicitte og implicitte forandringsniveau i psykoterapi med patienter med borderline-personlighedsforstyrrelse (BPF) diskuteres herpå med henvisning til to forskellige syn på terapeutisk forandring:...

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)

Gruppemusikterapi med patienter med borderline-personlighedsforstyrrelse i dagbehandlingsregi

Directory of Open Access Journals (Sweden)

Niels Hannibal

2008-05-01

Full Text Available Denne artikel er første redegørelse for de erfaringer, som er gjort med gruppemusikterapi (GMT for patienter med borderline-personlighedsforstyrrelse (BPF i dagbehandlingsregi på Aalborg Psykiatriske Sygehus. Artiklen indeholder både konkrete anvisninger til aktiviteter og interventioner, ligesom den i et teoretisk perspektiv redegør for forskellige processer og reaktioner, der kan iagttages i behandlingen. Artiklen konkluderer, at GMT i sin nuværende form kan bidrage til udvikling af BPF-patienters evne til mentalisering og affektregulering, til opbygning af en gruppefølelse og fremme af interpersonel læring, ligesom GMT kan udvikle alliance til terapi generelt og GMT specifikt.

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.

MedPAC Data Book

Data.gov (United States)

U.S. Department of Health & Human Services — MedPACs Data Book is the result of discussions with congressional staff members regarding ways that MedPAC can better support them. Some of the information it...

The MEDIATOR genes MED12 and MED13 control Arabidopsis root system configuration influencing sugar and auxin responses.

Science.gov (United States)

Raya-González, Javier; López-Bucio, Jesús Salvador; Prado-Rodríguez, José Carlos; Ruiz-Herrera, León Francisco; Guevara-García, Ángel Arturo; López-Bucio, José

2017-09-01

Arabidopsis med12 and med13 mutants exhibit shoot and root phenotypes related to an altered auxin homeostasis. Sucrose supplementation reactivates both cell division and elongation in primary roots as well as auxin-responsive and stem cell niche gene expression in these mutants. An analysis of primary root growth of WT, med12, aux1-7 and med12 aux1 single and double mutants in response to sucrose and/or N-1-naphthylphthalamic acid (NPA) placed MED12 upstream of auxin transport for the sugar modulation of root growth. The MEDIATOR (MED) complex plays diverse functions in plant development, hormone signaling and biotic and abiotic stress tolerance through coordination of transcription. Here, we performed genetic, developmental, molecular and pharmacological analyses to characterize the role of MED12 and MED13 on the configuration of root architecture and its relationship with auxin and sugar responses. Arabidopsis med12 and med13 single mutants exhibit shoot and root phenotypes consistent with altered auxin homeostasis including altered primary root growth, lateral root development, and root hair elongation. MED12 and MED13 were required for activation of cell division and elongation in primary roots, as well as auxin-responsive and stem cell niche gene expression. Remarkably, most of these mutant phenotypes were rescued by supplying sucrose to the growth medium. The growth response of primary roots of WT, med12, aux1-7 and med12 aux1 single and double mutants to sucrose and application of auxin transport inhibitor N-1-naphthylphthalamic acid (NPA) revealed the correlation of med12 phenotype with the activity of the auxin intake permease and suggests that MED12 acts upstream of AUX1 in the root growth response to sugar. These data provide compelling evidence that MEDIATOR links sugar sensing to auxin transport and distribution during root morphogenesis.

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

"Vi är inte en tummelplats för dårar" : Hur journalister och ansvariga utgivare resonerar kring och förhåller sig till användargenererat material i lokaltidningar

OpenAIRE

Öberg, Therese; Borgström, Johanna

2010-01-01

Sedan 1700-talet har läsarnas medverkan varit en väsentlig del i tidningarnas produktion. Utan deras deltagande har det inte heller blivit någon tidning. En förändring på området skedde när professionaliseringen av publicistrollen blev ett faktum och läsarnas medverkan ifrågasattes. Samhällsförändringar och tekniska utvecklingar har sedan lett fram till det vi har idag: ett samhälle där medieorganisationerna är i allt större behov av att läsarna återigen deltar i olika former. Syftet med stud...

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.

Leg med vision

DEFF Research Database (Denmark)

Munk, Mette; Bertelsen, Katrine

2011-01-01

Bogen henvender sig primært til det pædagogiske personale med målgruppen daginstitutioner. Bogen skal stimulere arbejdet med at gøre bevægelse til en integreret del af kulturen i daginstitutioner - at få det pædagogiske personale til - at sætte ord på og spørgsmålstegn ved deres pædagogiske bevæg...

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

Lærere arbejder med landskabsdannelse

DEFF Research Database (Denmark)

2012-01-01

Valg af materiale/medie/form: YOUtube videoklip. Valg af arbejdsform: Lærere der er igang med at afprøve praktisk undersøgende arbejde med danske landskabsformer. Begrundelse for valg af materiale/medie/form/arbejdsform: Ultrakort videoklip valgt så 1) lærerne kan dele med kolleger, 2) øvrige...

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

Med Kingo på dybt vand

DEFF Research Database (Denmark)

Arndal, Lars Stubbe

2014-01-01

Tag med digteren Thomas Kingo ud på dybt vand i selskab med lektor og mag.art. Lars Arndal, der kaster nye perspektiver på Kingos forlisdigt Hierte-Suk. Arndal kommer hermed også med et bud på, hvordan man som lærer kan invitere eleverne med på opdagelse i digtet...

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...

"Det är inte mig det är fel på, det är huset" : en studie av prognosfaktorer och bemötande med fokus på sjuka hus-syndromet

OpenAIRE

Edvardsson, Berit

2015-01-01

Bakgrund: Sick Building Syndrome, SBS, är fortfarande 2015 ett tillstånd som vållar mycket diskussion. Symtomen kan grupperas i slemhinnesymtom, hudsymtom och allmänna symtom. I definitionen ingår att personen/ personerna som fått symtom har exponerats för dålig inomhusluft i en speciell byggnad. När personen inte är i byggnaden så förbättras eller försvinner symtomen. Många olika faktorer kan orsaka eller medverka till uppkomst eller försämringar av SBS-symtom, som t.ex. luftens innehåll av ...

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.

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.

Yrkesforberedelse eller fagopplæring med fagbrev? Med design og håndverk som kontekst

Directory of Open Access Journals (Sweden)

Bjørn Magne Aakre

2013-09-01

Full Text Available Artikkelen drøfter forholdet mellom yrkesforberedelse og fagopplæring med utgangspunkt i den kombinerte studieretningen formgivingsfag som ble innført i Norge i 1994. I 2006 ble den delt i et programfag under studiespesialiserende fag, og et nytt yrkesfaglig program med betegnelse design og håndverk. Hvilke interesser lå til grunn for endringene, hvor dyptgripende ble de og hvilke overveieleser kan en gjøre i ettertid om forholdet mellom yrkesforberedelse og fagopplæring? Artikkelen søker å svare på spørsmålene ut fra relevante dokumenter og to kvantitative undersøkelser med elever og lærere som informanter. Artikkelen konkluderer med at innholdet forble nokså likt, antall elever ble halvert og at frafallet økte. Det konkluderes videre med at mange forhold bidrar til å legitimere et fag og dets innhold som henholdsvis skolefag, vitenskapsfag eller yrkesfag. Legitimeringen preges ofte av motstridende motiver og interesser, og sjelden bare faglige begrunnelser.

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 ...

Redox regulation of the MED28 and MED32 mediator subunits is important for development and senescence.

Science.gov (United States)

Shaikhali, Jehad; Davoine, Céline; Björklund, Stefan; Wingsle, Gunnar

2016-05-01

Mediator is a conserved multi-protein complex that acts as a bridge between promoter-bound transcriptional regulators and RNA polymerase II. While redox signaling is important in adjusting plant metabolism and development, the involvement of Mediator in redox homeostasis and regulation only recently started to emerge. Our previous results show that the MED10a, MED28, and MED32 Mediator subunits form various types of covalent oligomers linked by intermolecular disulfide bonds in vitro. To link that with biological significance we have characterized Arabidopsis med32 and med28 mutants and found that they are affected in root development and senescence, phenotypes possibly associated to redox changes.

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"

DailyMed

Data.gov (United States)

U.S. Department of Health & Human Services — DailyMed provides high quality information about marketed drugs. This information includes FDA labels (package inserts). This Web site provides health information...

MANUAL FOR PROCESORIENTERET MUSIKTERAPI MED PERSONER MED BPD.

Directory of Open Access Journals (Sweden)

Niels Hannibal

2010-12-01

Full Text Available Denne artikel introducerer et musikterapeutisk behandlingskoncept kaldet: Procesorienteret Musikterapi (PROM. PROM er et forsøg på at formulere en principiel ramme for musikterapi i psykiatrien, som dels tager udgangspunkt i 17 års klinisk erfaring, dels stiler mod at være ”best practice”. PROM indeholder beskrivelser af manualens unikke, essentielle men ikke unikke, acceptable og ikke acceptable dele. Den unikke del af PROM skal kunne implementeres til alle målgrupper, mens de øvrige dele af manualen rettes til i forhold til en specifik målgruppe. Denne udgave af PROM er specifikt rettet i mod musikterapi for patienter med personlighedsforstyrrelser. Manualen indgår også som en del af et pilotprojekt, der har til formål at udvikle en protokol for et internationalt RCT projekt med samme målgruppe

Sociale indsatser til mennesker med ADHD

DEFF Research Database (Denmark)

Bengtsson, Steen; Alim, Winnie; Holmskov, Henriette

Igennem de seneste år har flere og flere fået stillet diagnosen ADHD, som er en adfærdsmæssig forstyrrelse. Mennesker med ADHD har meget forskelligt støttebehov, og rapportens formål er at skabe overblik over de eksisterende sociale indsatser og tilbud til børn, unge og voksne med ADHD. Langt de...... ansvar for sociale end for terapeutiske tilbud i forhold til gruppen med ADHD. Mange voksne med ADHD beskriver, at det kræver mange ressourcer at få den fornødne støtte fra kommunen, mens forældre til børn med ADHD oplever det som nemmere at få adgang til de rette støttetilbud. Men begge grupper møder...... mange udfordringer som fx manglende koordinering og hyppige sagsbehandlerskift. Rapporten er udarbejdet i tilknytning til Servicestyrelsens projekt ’Ny og forstærket indsats til børn, unge og voksne med ADHD’ og er finansieret af Socialministeriet....

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.

PubMed

Data.gov (United States)

U.S. Department of Health & Human Services — PubMed comprises more than 26 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to...

PubMed

CERN Document Server

PubMed is the National Library of Medicine's search service that provides access to over 10 million citations in MEDLINE, PreMEDLINE, and other related databases, with links to participating online journals.

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 ...

Praktische handleiding PubMed : hét boek om snel en doeltreffend te zoeken in PubMed

NARCIS (Netherlands)

Etten-Jamaludin, van F.; Deurenberg, H.W.J.

2010-01-01

Praktische handleidng PubMed is de eerste Nederlandstalige gids die op overzichtelijke wijze op de uitgebreide mogelijkheden van PubMed ingaat. PubMed (www.pubmed.gov) biedt gratis toegang tot MEDLINE en is de meest gebruikte medische zoekmachine. In deze geheel herziene derde editie van Praktisch

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.

Towards PubMed 2.0.

Science.gov (United States)

Fiorini, Nicolas; Lipman, David J; Lu, Zhiyong

2017-10-30

Staff from the National Center for Biotechnology Information in the US describe recent improvements to the PubMed search engine and outline plans for the future, including a new experimental site called PubMed Labs.

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

Endostatin (EntreMed).

Science.gov (United States)

Grosios, K

2000-07-01

EntreMed has licensed the worldwide rights to the angiogenesis inhibitor Endostatin, a 20 kDa C-terminal fragment of collagen XVIII, from the Children's Hospital of Boston, a teaching affiliate of Harvard Medical School. It is being developed as a potential cancer treatment and may also be useful in certain types of blindness and arthritis [227427]. EntreMed filed an IND for Endostatin in June 1999 [334125] and as of September 1999, phase I trials were underway [341462]. As of April 2000, the company had initiated plans for testing low doses of Endostatin in cancer patients using continuous infusion and sc administration in a further phase I study to be conducted in Europe [361594]. A phase I trial of Endostatin which will evaluate the safety and efficacy of Endostatin at a range of doses in no more than 100 cancer patients has been initiated. The trial will take place at the University of Texas MD Anderson Medical Center and the University of Wisconsin Cancer Center in Madison. The National Cancer Center will be sponsoring the trial, which is expected to be completed in late 2000. As of March 2000, there had been no serious adverse events attributable to Endostatin administration. The first report from this trial is expected in autumn 2000 [341462], [366312]. The mechanism of action for Endostatin remains unclear, although reports from the 91st AACR Meeting in April 2000 showed that recombinant human endostatin bound to a number of tropomyosin cDNAs in a library screen [362039]. In preclinical studies, repeated administration of Endostatin consistently shrank primary tumors and did not produce any drug resistance. In mice, a variety of tumors which had progressed to 1 to 2% of total body weight, regressed to microscopic, dormant lesions following Endostatin treatment [231418], [231470], [270673]. Types of cancers which respond to Endostatin include lung, skin, vascular and fibrosarcomas. Toxicology studies in cynomolgus monkeys showed that bolus injections of

Hvordan er det å leve med CRPS?

OpenAIRE

Hovind, Thomas

2014-01-01

Hensikten med denne studien er å se på hvordan pasienter med komplekst regionalt smertesyndrom (CRPS) opplever å leve med tilstanden og hvordan disse pasientene har opplevd å bli møtt i helsevesenet. CRPS er en langvarig tilstand med sterke smerter som kan medføre økt smerterespons, redusert funksjon og nedsatt livskvalitet hos pasientene. Studien er en kvalitativ undersøkelse basert på dybdeintervju av fire pasienter med CRPS. Pasientene ble rekruttert fra en smerteavdeling i Nord-Norge og u...

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.

The MedCLIVAR Network

Science.gov (United States)

Lionello, Piero; Medclivar sg, The

2013-04-01

The MedCLIVAR initiative was first proposed at the 2003 European Geosciences Union assembly in Nice, France. In 2005, it was endorsed by the International Climate Variability and Predictability (CLIVAR) office. Subsequently, the MedCLIVAR Research Network Project was formally approved by the European Science Foundation and launched in May 2006 with the support of funding agencies from 12 countries. Since then, MedCLIVAR has served as a scientific network to promote interaction among different scientific disciplines and to develop a multidisciplinary vision of the evolution of the Mediterranean climate through studies that integrate atmospheric, marine, and terrestrial climate components at time scales ranging from paleoreconstructions to future climate scenarios. Presently, the network continues dealing with scientific issues including past climate variability; connections between the Mediterranean and global climate; the Mediterranean Sea circulation and sea level; feedbacks on the global climate system; and regional responses to greenhouse gas, air pollution, and aerosols. Its present activities include the publication of a newsletter, the organization of the next MedCLIVAR conference in 2014 and the publication of a special issue of Regional Environmental Change devoted to the climate of the Mediterranean region.

Håndtering af dagliglivet med psoriasis

DEFF Research Database (Denmark)

Rasmussen, Gitte Susanne

2010-01-01

This study investigates factors that, according to the literature, may impact psoriasis patients’ needs for patient education to support self-management in daily life. The study was carried out as an inte-grative review. This design allows for a combination of diverse methodologies and is well...

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.

Redefining the MED13L syndrome.

Science.gov (United States)

Adegbola, Abidemi; Musante, Luciana; Callewaert, Bert; Maciel, Patricia; Hu, Hao; Isidor, Bertrand; Picker-Minh, Sylvie; Le Caignec, Cedric; Delle Chiaie, Barbara; Vanakker, Olivier; Menten, Björn; Dheedene, Annelies; Bockaert, Nele; Roelens, Filip; Decaestecker, Karin; Silva, João; Soares, Gabriela; Lopes, Fátima; Najmabadi, Hossein; Kahrizi, Kimia; Cox, Gerald F; Angus, Steven P; Staropoli, John F; Fischer, Ute; Suckow, Vanessa; Bartsch, Oliver; Chess, Andrew; Ropers, Hans-Hilger; Wienker, Thomas F; Hübner, Christoph; Kaindl, Angela M; Kalscheuer, Vera M

2015-10-01

Congenital cardiac and neurodevelopmental deficits have been recently linked to the mediator complex subunit 13-like protein MED13L, a subunit of the CDK8-associated mediator complex that functions in transcriptional regulation through DNA-binding transcription factors and RNA polymerase II. Heterozygous MED13L variants cause transposition of the great arteries and intellectual disability (ID). Here, we report eight patients with predominantly novel MED13L variants who lack such complex congenital heart malformations. Rather, they depict a syndromic form of ID characterized by facial dysmorphism, ID, speech impairment, motor developmental delay with muscular hypotonia and behavioral difficulties. We thereby define a novel syndrome and significantly broaden the clinical spectrum associated with MED13L variants. A prominent feature of the MED13L neurocognitive presentation is profound language impairment, often in combination with articulatory deficits.

Redefining the MED13L syndrome

Science.gov (United States)

Adegbola, Abidemi; Musante, Luciana; Callewaert, Bert; Maciel, Patricia; Hu, Hao; Isidor, Bertrand; Picker-Minh, Sylvie; Le Caignec, Cedric; Delle Chiaie, Barbara; Vanakker, Olivier; Menten, Björn; Dheedene, Annelies; Bockaert, Nele; Roelens, Filip; Decaestecker, Karin; Silva, João; Soares, Gabriela; Lopes, Fátima; Najmabadi, Hossein; Kahrizi, Kimia; Cox, Gerald F; Angus, Steven P; Staropoli, John F; Fischer, Ute; Suckow, Vanessa; Bartsch, Oliver; Chess, Andrew; Ropers, Hans-Hilger; Wienker, Thomas F; Hübner, Christoph; Kaindl, Angela M; Kalscheuer, Vera M

2015-01-01

Congenital cardiac and neurodevelopmental deficits have been recently linked to the mediator complex subunit 13-like protein MED13L, a subunit of the CDK8-associated mediator complex that functions in transcriptional regulation through DNA-binding transcription factors and RNA polymerase II. Heterozygous MED13L variants cause transposition of the great arteries and intellectual disability (ID). Here, we report eight patients with predominantly novel MED13L variants who lack such complex congenital heart malformations. Rather, they depict a syndromic form of ID characterized by facial dysmorphism, ID, speech impairment, motor developmental delay with muscular hypotonia and behavioral difficulties. We thereby define a novel syndrome and significantly broaden the clinical spectrum associated with MED13L variants. A prominent feature of the MED13L neurocognitive presentation is profound language impairment, often in combination with articulatory deficits. PMID:25758992

Tang med omtanke

DEFF Research Database (Denmark)

Schlundt, Jørgen

2013-01-01

Befolkningen bør kende både mulige positive og negative effekter af fødevarer, før de spiser dem. Det mener Jørgen Schlundt, DTU Fødevareinstituttet, med henvisning til Ole G. Mouritsens kritik af instituttets udmeldinger om tang i det seneste nummer af Aktuel Naturvidenskab.......Befolkningen bør kende både mulige positive og negative effekter af fødevarer, før de spiser dem. Det mener Jørgen Schlundt, DTU Fødevareinstituttet, med henvisning til Ole G. Mouritsens kritik af instituttets udmeldinger om tang i det seneste nummer af Aktuel Naturvidenskab....

TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations.

Science.gov (United States)

Alvaro, Nestor; Miyao, Yusuke; Collier, Nigel

2017-05-03

Work on pharmacovigilance systems using texts from PubMed and Twitter typically target at different elements and use different annotation guidelines resulting in a scenario where there is no comparable set of documents from both Twitter and PubMed annotated in the same manner. This study aimed to provide a comparable corpus of texts from PubMed and Twitter that can be used to study drug reports from these two sources of information, allowing researchers in the area of pharmacovigilance using natural language processing (NLP) to perform experiments to better understand the similarities and differences between drug reports in Twitter and PubMed. We produced a corpus comprising 1000 tweets and 1000 PubMed sentences selected using the same strategy and annotated at entity level by the same experts (pharmacists) using the same set of guidelines. The resulting corpus, annotated by two pharmacists, comprises semantically correct annotations for a set of drugs, diseases, and symptoms. This corpus contains the annotations for 3144 entities, 2749 relations, and 5003 attributes. We present a corpus that is unique in its characteristics as this is the first corpus for pharmacovigilance curated from Twitter messages and PubMed sentences using the same data selection and annotation strategies. We believe this corpus will be of particular interest for researchers willing to compare results from pharmacovigilance systems (eg, classifiers and named entity recognition systems) when using data from Twitter and from PubMed. We hope that given the comprehensive set of drug names and the annotated entities and relations, this corpus becomes a standard resource to compare results from different pharmacovigilance studies in the area of NLP. ©Nestor Alvaro, Yusuke Miyao, Nigel Collier. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 03.05.2017.

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

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.

PubMed Informer: Monitoring MEDLINE/PubMed through E-mail Alerts, SMS, PDA downloads and RSS feeds

Science.gov (United States)

Muin, Michael; Fontelo, Paul; Ackerman, Michael

2005-01-01

Summary PubMed Informer is a Web-based monitoring tool for topics of interest from MEDLINE/PubMed primarily designed for healthcare professionals. Five tracking methods are available: Web access, e-mail, Short Message Service (SMS), PDA downloads and RSS feeds. PubMed Informer delivers focused search updates and specific information to users with varying information-seeking practices. PMID:16779344

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.

A marvel of precision: MedAustron

CERN Document Server

Anaïs Schaeffer

2013-01-01

MedAustron, which is currently being built in Austria, will be one of the most advanced centres for ion beam therapy and research in Europe. It is based on the same design as the Italian National Centre for Oncological Hadrontherapy (CNAO), which in turn is based on the CERN-led Proton Ion Medical Machine Study (PIMMS). MedAustron should welcome its first patient at the end of 2015.   Layout of the MedAustron accelerator complex.  With three ion-sources, a linac, a synchrotron and four irradiation rooms (see picture), MedAustron is a huge accelerator complex. Among other equipment, it comprises 300 magnets of 30 different types, all designed at CERN but produced at different sites: “We are working with five main suppliers from Europe and Russia,” explains Thomas Zickler, leader of the MedAustron magnet group. “All the magnets come to CERN to undergo a series of strict acceptance tests.” From the interfaces, to the electrical insulation, the co...

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.

The Arabidopsis mediator complex subunits MED16, MED14, and MED2 regulate mediator and RNA polymerase II recruitment to CBF-responsive cold-regulated genes.

Science.gov (United States)

Hemsley, Piers A; Hurst, Charlotte H; Kaliyadasa, Ewon; Lamb, Rebecca; Knight, Marc R; De Cothi, Elizabeth A; Steele, John F; Knight, Heather

2014-01-01

The Mediator16 (MED16; formerly termed SENSITIVE TO FREEZING6 [SFR6]) subunit of the plant Mediator transcriptional coactivator complex regulates cold-responsive gene expression in Arabidopsis thaliana, acting downstream of the C-repeat binding factor (CBF) transcription factors to recruit the core Mediator complex to cold-regulated genes. Here, we use loss-of-function mutants to show that RNA polymerase II recruitment to CBF-responsive cold-regulated genes requires MED16, MED2, and MED14 subunits. Transcription of genes known to be regulated via CBFs binding to the C-repeat motif/drought-responsive element promoter motif requires all three Mediator subunits, as does cold acclimation-induced freezing tolerance. In addition, these three subunits are required for low temperature-induced expression of some other, but not all, cold-responsive genes, including genes that are not known targets of CBFs. Genes inducible by darkness also required MED16 but required a different combination of Mediator subunits for their expression than the genes induced by cold. Together, our data illustrate that plants control transcription of specific genes through the action of subsets of Mediator subunits; the specific combination defined by the nature of the stimulus but also by the identity of the gene induced.

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 ...

Mødet med det Andet

DEFF Research Database (Denmark)

Marchwinski, Alena

2002-01-01

Da Christen Købke i 1830 malte sitt bilde fra Kunstakademiets avstøpningssamling på Charlottenborg, skildret han en situasjon som vordende danske kunstnere hadde vært fortrolige med i flere generasjoner: en ung mann betrakter en avstøpning av en antikk skulptur. Med utgangspunkt i kombinasjonen a...

Et felteksperiment med Kærlighed i Kaos

DEFF Research Database (Denmark)

Christensen, Christiane Præstgaard; Scavenius Sonne-Schmidt, Christoffer

Som et nyt tilbud til danske forældre med børn med ADHD og ADHD-lignende vanskeligheder har ADHDforeningen udviklet forældretræningsprogrammet Kærlighed i Kaos, hvor frivillige hjælper forældre til børn med ADHD, der står med et særligt vanskeligt opdragelsesarbejde. Denne rapport har til formål......, når forældrene stiller krav til børnene. Resultaterne i denne rapport har interesse for fagpersoner, behandlere, undervisere, beslutningstagere, frivillige organisationer, foreninger og de mange nuværende og kommende familier, som dagligt kæmper med adfærdsvanskeligheder – såsom ADHD. Effektmålingen...

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

Redefining the MED13L syndrome

OpenAIRE

Adegbola, Abidemi; Musante, Luciana; Callewaert, Bert; Maciel, Patricia; Hu, Hao; Isidor, Bertrand; Picker-Minh, Sylvie; Le Caignec, Cedric; Delle Chiaie, Barbara; Vanakker, Olivier; Menten, Björn; Dheedene, Annelies; Bockaert, Nele; Roelens, Filip; Decaestecker, Karin

2015-01-01

Congenital cardiac and neurodevelopmental deficits have been recently linked to the mediator complex subunit 13-like protein MED13L, a subunit of the CDK8-associated mediator complex that functions in transcriptional regulation through DNA-binding transcription factors and RNA polymerase II. Heterozygous MED13L variants cause transposition of the great arteries and intellectual disability (ID). Here, we report eight patients with predominantly novel MED13L variants who lack such complex conge...

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).

Med det sociale som designmateriale

DEFF Research Database (Denmark)

Brandt, Eva; Binder, Thomas

2016-01-01

Samarbejde, samskabelse og social nysgerrighed er i dag en præmis for den nyskabende designer. Det sociale er det nye designmateriale som unge designere giver sig i kast med når f.eks. Emmy Linde samarbejder med plejehjemsbeboere, deres pårørende, plejepersonale og fysioterapeuter for at designe ...

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 ...

Human melioidosis reported by ProMED

Directory of Open Access Journals (Sweden)

Katherinn Melissa Nasner-Posso

2015-06-01

Conclusions: Internet-based reporting systems such as ProMED are useful to gather information and synthesize knowledge on emerging infections. Although certain areas need to be improved, ProMED provided good information about melioidosis.

Musikalsk leg med formgivning, timing og vitalitetsformer

DEFF Research Database (Denmark)

Holck, Ulla

2015-01-01

Ifølge de Udviklingsorienterede Social-Pragmatiske Interventionsformer til børn med Autisme Spektrum Forstyrrelse er en legende indfaldsvinkel, hvor man følger barnets lead, den mest effektive til at engagere yngre børn med autisme eller børn med svær autisme i et gensidigt samspil. Artiklen...

Med-E-Tel

National Research Council Canada - National Science Library

Lievens, Frank; Jordanova, Malina

2006-01-01

.... The Med-e-Tel 2006 conference program covered over 130 presentations on topics such as homecare and health management, healthcare challenges, tele-education, eHealth in developing countries, telecardiology...

Med-E-Tel

National Research Council Canada - National Science Library

Lievens, Frank; Jordanova, Malina

2006-01-01

..., and more. The Med-e-Tel 2006 exhibition showcased products and technologies in the areas of medication compliance, home telehealth and vital sign monitoring, clinical software, electronic medical records...

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...

At lede med latter

DEFF Research Database (Denmark)

Møller, Mette

2014-01-01

"Det sagde hun også i går!" Platte vitser, der lægger op til den karakteristiske 'bodom-tchi'-trommelyd, behøver ikke være lederens eneste forsøg på at udvise humoristisk sans på talerstolen. For humor kan være meget andet og gøre meget mere for lederen end at score billige point med en spontan s...... spøg. Humor kan skabe klarhed over en pointe, skabe lederens image og skabe sammenhold i organisationen. Uden trommelyd, men med mange andre effekter i spil....

Attitudes towards people with ADHD : A quantitative study of students’ attitudes towards fictitious persons with and without ADHD diagnosis

OpenAIRE

Oscarsson, Sandra

2013-01-01

              Syftet med denna studie är att ta reda på om det finns några skillnader gällande attityder gentemot personer med eller utan ADHD.  En enkätundersökning genomfördes med scenario som beskrev personer med typiska ADHD-beteenden. Kön på scenariopersonerna manipulerades och även om det var uttalat i scenarierna att personen hade ADHD eller inte. Bakgrundsvariabler som undersöktes var utbildning hos respondenterna och om de eller nära anhörig hade ADHD eller inte.               Result...

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

Predicting clicks of PubMed articles.

Science.gov (United States)

Mao, Yuqing; Lu, Zhiyong

2013-01-01

Predicting the popularity or access usage of an article has the potential to improve the quality of PubMed searches. We can model the click trend of each article as its access changes over time by mining the PubMed query logs, which contain the previous access history for all articles. In this article, we examine the access patterns produced by PubMed users in two years (July 2009 to July 2011). We explore the time series of accesses for each article in the query logs, model the trends with regression approaches, and subsequently use the models for prediction. We show that the click trends of PubMed articles are best fitted with a log-normal regression model. This model allows the number of accesses an article receives and the time since it first becomes available in PubMed to be related via quadratic and logistic functions, with the model parameters to be estimated via maximum likelihood. Our experiments predicting the number of accesses for an article based on its past usage demonstrate that the mean absolute error and mean absolute percentage error of our model are 4.0% and 8.1% lower than the power-law regression model, respectively. The log-normal distribution is also shown to perform significantly better than a previous prediction method based on a human memory theory in cognitive science. This work warrants further investigation on the utility of such a log-normal regression approach towards improving information access in PubMed.

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

Akupunktur til patienten med kvalme og opkastning i forbindelse med kemoterapi - er der evidens for dette?

DEFF Research Database (Denmark)

Pedersen, Birgith; Sørensen, Lene Bundgaard; Stricker, Lisbeth

2008-01-01

  Patienter, der får kemoterapi med højemetogene stoffer lider stadig af kvalme og opkastning trods understøttende behandling med moderne antieemtika som 5HT3-antagonister eksempelvis ondansetron. Akupunkturstimulation anvendes for flere lidelser i sundhedsvæsenet og det undersøges om der er evid...

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...

Technical development of PubMed Interact: an improved interface for MEDLINE/PubMed searches

OpenAIRE

Muin, Michael; Fontelo, Paul

2006-01-01

Abstract Background The project aims to create an alternative search interface for MEDLINE/PubMed that may provide assistance to the novice user and added convenience to the advanced user. An earlier version of the project was the 'Slider Interface for MEDLINE/PubMed searches' (SLIM) which provided JavaScript slider bars to control search parameters. In this new version, recent developments in Web-based technologies were implemented. These changes may prove to be even more valuable in enhanci...

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...

Grateful Med: getting started.

Science.gov (United States)

Shearer, B; McCann, L; Crump, W J

1990-01-01

When a local medical library is not available, it is often necessary for physicians to discover alternate ways to receive medical information. Rural physicians, particularly, can make use of a computer program called Grateful Med that provides access to the same literature available to physicians in large cities. This program permits the user to perform database searches on the National Library of Medicine database (MEDLINE), corresponding to the primary index to medical literature, Index Medicus. In this article, we give the procedure for procuring a National Library of Medicine password and for making efficient use of the Grateful Med program.

Human melioidosis reported by ProMED.

Science.gov (United States)

Nasner-Posso, Katherinn Melissa; Cruz-Calderón, Stefania; Montúfar-Andrade, Franco E; Dance, David A B; Rodriguez-Morales, Alfonso J

2015-06-01

There are limited sources describing the global burden of emerging diseases. A review of human melioidosis reported by ProMED was performed and the reliability of the data retrieved assessed in comparison to published reports. The effectiveness of ProMED was evaluated as a source of epidemiological data by focusing on melioidosis. Using the keyword 'melioidosis' in the ProMED search engine, all of the information from the reports and collected data was reviewed using a structured form, including the year, country, gender, occupation, number of infected individuals, and number of fatal cases. One hundred and twenty-four entries reported between January 1995 and October 2014 were identified. A total of 4630 cases were reported, with death reported in 505 cases, suggesting a misleadingly low overall case fatality rate (CFR) of 11%. Of 20 cases for which the gender was reported, 12 (60%) were male. Most of the cases were reported from Australia, Thailand, Singapore, Vietnam, and Malaysia, with sporadic reports from other countries. Internet-based reporting systems such as ProMED are useful to gather information and synthesize knowledge on emerging infections. Although certain areas need to be improved, ProMED provided good information about melioidosis. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

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.

MED-SUV Data Life Cycle

Science.gov (United States)

Sangianantoni, Agata; Puglisi, Giuseppe; Spampinato, Letizia; Tulino, Sabrina

2015-04-01

The MED-SUV project aims to implement a digital e-infrastructure for data access in order to promote the monitoring and study of key volcanic regions prone to volcanic hazards, and thus improve hazard assessment, according to the rationale of Supersite GEO initiative to Vesuvius- Campi Flegrei and Mt Etna, currently identified as Permanent Supersites. The present study focuses on the life cycle of MED-SUV data generated in the first period of the project and highlights the managing approach, as well as the crucial steps to be implemented for ensuring that data will be properly and ethically managed and can be used and accessed from both MED-SUV and the external community. The process is conceived outlining how research data being handled as the project progresses, describing what data are collected, processed or generated and how these data are going to be shared and made available through Open Access. Data cycle begins with their generation and ends with the deposit in the digital infrastructure, its key series of stages through which MED-SUV data passes are Collection, Data citation, Categorization of data, Approval procedure, Registration of datasets, Application of licensing models, and PID assignment. This involves a combination of procedures and practices taking into account the scientific core mission and the priorities of the project as well as the potential legal issues related to the management and protection of the Intellectual Property. We believe that the implementation of this process constitutes a significant encouragement in MED-SUV data sharing and as a consequence a better understanding on the volcanic processes, hazard assessment and a better integration with other Supersites projects.

The Arabidopsis Mediator Complex Subunits MED16, MED14, and MED2 Regulate Mediator and RNA Polymerase II Recruitment to CBF-Responsive Cold-Regulated Genes[C][W][OPEN

Science.gov (United States)

Hemsley, Piers A.; Hurst, Charlotte H.; Kaliyadasa, Ewon; Lamb, Rebecca; Knight, Marc R.; De Cothi, Elizabeth A.; Steele, John F.; Knight, Heather

2014-01-01

The Mediator16 (MED16; formerly termed SENSITIVE TO FREEZING6 [SFR6]) subunit of the plant Mediator transcriptional coactivator complex regulates cold-responsive gene expression in Arabidopsis thaliana, acting downstream of the C-repeat binding factor (CBF) transcription factors to recruit the core Mediator complex to cold-regulated genes. Here, we use loss-of-function mutants to show that RNA polymerase II recruitment to CBF-responsive cold-regulated genes requires MED16, MED2, and MED14 subunits. Transcription of genes known to be regulated via CBFs binding to the C-repeat motif/drought-responsive element promoter motif requires all three Mediator subunits, as does cold acclimation–induced freezing tolerance. In addition, these three subunits are required for low temperature–induced expression of some other, but not all, cold-responsive genes, including genes that are not known targets of CBFs. Genes inducible by darkness also required MED16 but required a different combination of Mediator subunits for their expression than the genes induced by cold. Together, our data illustrate that plants control transcription of specific genes through the action of subsets of Mediator subunits; the specific combination defined by the nature of the stimulus but also by the identity of the gene induced. PMID:24415770

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

Tandlæger og personer med en spiseforstyrrelse

DEFF Research Database (Denmark)

Gehrt, Charlotte Astrid; Christensen, Lisa Bøge; Klinker, Sabine

2016-01-01

Mødet mellem tandlæge og patient med spiseforstyrrelse Introduktion og formål: Det er velkendt, at tandlæger kan spille en rolle i forhold til tidlig identifikation af en spiseforstyrrelse. Der erimidlertid begrænset viden om, hvilke forventninger tandlæger og personer med en spiseforstyrrelse har...... til mødet med hinanden i klinikken, og hvordan dette opleves. Undersøgelsens formål var derfor at få viden om mødet mellem tandlæger og personer med en spiseforstyrrelse. Materialer og metoder: Undersøgelsen var en tværsnitsundersøgelse baseret på to spørgeskemaer udarbejdet til henholdsvis tandlæger...... og personer med en spiseforstyrrelse. I alt 1.405 tandlæger deltog, mens 260 personer med en spiseforstyrrelse besvarede spørgeskemaet. Resultater: Tandlægerne havde større selvrapporteret viden om orale komplikationer ved en spiseforstyrrelse end om spiseforstyrrelser generelt. Størstedelen af...

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.

Hvad skal vi med Etisk Råd?

DEFF Research Database (Denmark)

Ploug, Thomas; Gjerris, Mickey

2012-01-01

Det Etiske Råd har for os at se en væsentlig rolle at spille i et åbent og demokratisk samfund som det danske. Vi skal være med til at skabe grobund for de værdidiskussioner, som skal forme fremtidens samfund. Etik er at være i dialog – ikke at kaste med mudder.......Det Etiske Råd har for os at se en væsentlig rolle at spille i et åbent og demokratisk samfund som det danske. Vi skal være med til at skabe grobund for de værdidiskussioner, som skal forme fremtidens samfund. Etik er at være i dialog – ikke at kaste med mudder....

OvidSP Medline-to-PubMed search filter translation: a methodology for extending search filter range to include PubMed's unique content.

Science.gov (United States)

Damarell, Raechel A; Tieman, Jennifer J; Sladek, Ruth M

2013-07-02

PubMed translations of OvidSP Medline search filters offer searchers improved ease of access. They may also facilitate access to PubMed's unique content, including citations for the most recently published biomedical evidence. Retrieving this content requires a search strategy comprising natural language terms ('textwords'), rather than Medical Subject Headings (MeSH). We describe a reproducible methodology that uses a validated PubMed search filter translation to create a textword-only strategy to extend retrieval to PubMed's unique heart failure literature. We translated an OvidSP Medline heart failure search filter for PubMed and established version equivalence in terms of indexed literature retrieval. The PubMed version was then run within PubMed to identify citations retrieved by the filter's MeSH terms (Heart failure, Left ventricular dysfunction, and Cardiomyopathy). It was then rerun with the same MeSH terms restricted to searching on title and abstract fields (i.e. as 'textwords'). Citations retrieved by the MeSH search but not the textword search were isolated. Frequency analysis of their titles/abstracts identified natural language alternatives for those MeSH terms that performed less effectively as textwords. These terms were tested in combination to determine the best performing search string for reclaiming this 'lost set'. This string, restricted to searching on PubMed's unique content, was then combined with the validated PubMed translation to extend the filter's performance in this database. The PubMed heart failure filter retrieved 6829 citations. Of these, 834 (12%) failed to be retrieved when MeSH terms were converted to textwords. Frequency analysis of the 834 citations identified five high frequency natural language alternatives that could improve retrieval of this set (cardiac failure, cardiac resynchronization, left ventricular systolic dysfunction, left ventricular diastolic dysfunction, and LV dysfunction). Together these terms reclaimed

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

Directory of Open Access Journals (Sweden)

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.

Ti år med formidlingspligt

DEFF Research Database (Denmark)

Meyer, Gitte

2014-01-01

Jubilæet blev markeret ved et symposium - men hvor var journalisterne, og hvor var forskerne? For få uger siden lagde TV 2 hus til et symposium om videnskab, formidling, journalistik og spin. Danske Videnskabsjournalister og Akademiet for de Tekniske Videnskaber tog med arrangementet et behjertet...... initiativ. De ville gøre status efter ti år med lovfæstet formidlingspligt på universiteterne. Samtidig lagde de op til et kritisk blik på universitetsverdenens kommunikationsafdelinger...

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.

Bygningsdele med celluloseuld og høruld

DEFF Research Database (Denmark)

Hansen, Ernst Jan de Place

2001-01-01

Resume af rapport med eksempler på bygningsdele med papir- eller hørisolering, der overholder bygningsreglementerne, udarbejdet af Dansk Brandteknisk Institut under Energistyrelsens udviklingsprogram "Miljø- og arbejdsmiljøvenlig isolering"...

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

Social indsats til borgere med erfaring fra salg af sex

DEFF Research Database (Denmark)

Mehlsen, Line; Amilon, Anna; Henriksen, Theresa Dyrvig

2017-01-01

Formålet med denne guide er at give endnu flere kommuner inspiration og vejledning til, hvordan man kan implementere og arbejde med CTI-forløb over for borgere med prostitutionserfaring. Manglende viden om borgere med prostitutionserfaringer gør det svært for kommunerne at hjælpe borgerne med de ...

Specifik mutation med nålestiksoperation

DEFF Research Database (Denmark)

Holme, Inger; Wendt, Toni; Brinch-Pedersen, Henrik

2014-01-01

Mutanter af byg er vigtige i forskningen og benyttes også, når der forædles nye sorter til dyrkning. Hidtil har det kun været muligt at inducere mutationer tilfældige steder i genomet. Med helt ny teknologi benyttes proteiner med betegnelsen TALENs til at inducere mutationer i helt specifikke...

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

Med sjefen på Facebook: En studie av ledere som er "venner" med sine ansatte

OpenAIRE

Jensen, Anita

2014-01-01

MR690 Masteroppgave i organisasjon og ledelse - utdanningsledelse Formålet med studien er å belyse hvordan aktiv bruk av sosiale medier, i dette tilfellet Facebook, påvirker relasjoner mellom mennesker. Hva skjer når en tar i bruk en websjanger som i utgangspunktet er umiddelbar og uformell, til jobbrelatert og mer formell kommunikasjon? Er det sjangeren eller relasjonen som endres? Søkelyset rettes mot ledere som er “venner” med sine medarbeidere, og problemstillingen er...

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

Geograf med GIS som ledetråd

DEFF Research Database (Denmark)

Nielsen, Søren Zebitz

2013-01-01

Fra speciale om kortlægning af luft forurening med NO2 i troposfæren målt fra satellit til PhD studerende med fokus på forståelsen af menneskers bevægelsesmønstre i byer. GIS og geodata er den røde tråd der binder de brede interesser indenfor geografi en sammen for denne forskerlærling.......Fra speciale om kortlægning af luft forurening med NO2 i troposfæren målt fra satellit til PhD studerende med fokus på forståelsen af menneskers bevægelsesmønstre i byer. GIS og geodata er den røde tråd der binder de brede interesser indenfor geografi en sammen for denne forskerlærling....

PubMed searches: overview and strategies for clinicians.

Science.gov (United States)

Lindsey, Wesley T; Olin, Bernie R

2013-04-01

PubMed is a biomedical and life sciences database maintained by a division of the National Library of Medicine known as the National Center for Biotechnology Information (NCBI). It is a large resource with more than 5600 journals indexed and greater than 22 million total citations. Searches conducted in PubMed provide references that are more specific for the intended topic compared with other popular search engines. Effective PubMed searches allow the clinician to remain current on the latest clinical trials, systematic reviews, and practice guidelines. PubMed continues to evolve by allowing users to create a customized experience through the My NCBI portal, new arrangements and options in search filters, and supporting scholarly projects through exportation of citations to reference managing software. Prepackaged search options available in the Clinical Queries feature also allow users to efficiently search for clinical literature. PubMed also provides information regarding the source journals themselves through the Journals in NCBI Databases link. This article provides an overview of the PubMed database's structure and features as well as strategies for conducting an effective search.

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.

A study on PubMed search tag usage pattern: association rule mining of a full-day PubMed query log.

Science.gov (United States)

Mosa, Abu Saleh Mohammad; Yoo, Illhoi

2013-01-09

The practice of evidence-based medicine requires efficient biomedical literature search such as PubMed/MEDLINE. Retrieval performance relies highly on the efficient use of search field tags. The purpose of this study was to analyze PubMed log data in order to understand the usage pattern of search tags by the end user in PubMed/MEDLINE search. A PubMed query log file was obtained from the National Library of Medicine containing anonymous user identification, timestamp, and query text. Inconsistent records were removed from the dataset and the search tags were extracted from the query texts. A total of 2,917,159 queries were selected for this study issued by a total of 613,061 users. The analysis of frequent co-occurrences and usage patterns of the search tags was conducted using an association mining algorithm. The percentage of search tag usage was low (11.38% of the total queries) and only 2.95% of queries contained two or more tags. Three out of four users used no search tag and about two-third of them issued less than four queries. Among the queries containing at least one tagged search term, the average number of search tags was almost half of the number of total search terms. Navigational search tags are more frequently used than informational search tags. While no strong association was observed between informational and navigational tags, six (out of 19) informational tags and six (out of 29) navigational tags showed strong associations in PubMed searches. The low percentage of search tag usage implies that PubMed/MEDLINE users do not utilize the features of PubMed/MEDLINE widely or they are not aware of such features or solely depend on the high recall focused query translation by the PubMed's Automatic Term Mapping. The users need further education and interactive search application for effective use of the search tags in order to fulfill their biomedical information needs from PubMed/MEDLINE.

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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.

Mars 2020 Entry, Descent and Landing Instrumentation (MEDLI2)

Science.gov (United States)

Bose, Deepak; Wright, Henry; White, Todd; Schoenenberger, Mark; Santos, Jose; Karlgaard, Chris; Kuhl, Chris; Oishi, TOmo; Trombetta, Dominic

2016-01-01

This paper will introduce Mars Entry Descent and Landing Instrumentation (MEDLI2) on NASA's Mars2020 mission. Mars2020 is a flagship NASA mission with science and technology objectives to help answer questions about possibility of life on Mars as well as to demonstrate technologies for future human expedition. Mars2020 is scheduled for launch in 2020. MEDLI2 is a suite of instruments embedded in the heatshield and backshell thermal protection systems of Mars2020 entry vehicle. The objectives of MEDLI2 are to gather critical aerodynamics, aerothermodynamics and TPS performance data during EDL phase of the mission. MEDLI2 builds up the success of MEDLI flight instrumentation on Mars Science Laboratory mission in 2012. MEDLI instrumentation suite measured surface pressure and TPS temperature on the heatshield during MSL entry into Mars. MEDLI data has since been used for unprecedented reconstruction of aerodynamic drag, vehicle attitude, in-situ atmospheric density, aerothermal heating, transition to turbulence, in-depth TPS performance and TPS ablation. [1,2] In addition to validating predictive models, MEDLI data has highlighted extra margin available in the MSL forebody TPS, which can potentially be used to reduce vehicle parasitic mass. MEDLI2 expands the scope of instrumentation by focusing on quantities of interest not addressed in MEDLI suite. The type the sensors are expanded and their layout on the TPS modified to meet these new objectives. The paper will provide key motivation and governing requirements that drive the choice and the implementation of the new sensor suite. The implementation considerations of sensor selection, qualification, and demonstration of minimal risk to the host mission will be described. The additional challenges associated with mechanical accommodation, electrical impact, data storage and retrieval for MEDLI2 system, which extends sensors to backshell will also be described.

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)

Med Antony Beevor i Ardennerne

DEFF Research Database (Denmark)

Christensen, Claus Bundgård

2015-01-01

Den storsælgende amerikanske historiker Antony Beevor tager i sin gennemgang af Anden Verdenskrigs slag denne gang læserne med til de sneklædte skove i Ardennerne, hvor tyskerne iværksatte deres sidste store offensiv på Vestfronten.......Den storsælgende amerikanske historiker Antony Beevor tager i sin gennemgang af Anden Verdenskrigs slag denne gang læserne med til de sneklædte skove i Ardennerne, hvor tyskerne iværksatte deres sidste store offensiv på Vestfronten....

Ud at se med Erasmus

DEFF Research Database (Denmark)

Frandsen, Pernille

2009-01-01

Få lidt luft under vingerne, kom ud at møde udenlandske kolleger og se, hvordan man også kan lave uddannelsesbibliotek. Med begejstring fortæller tre bibliotekarer om deres oplevelser i det store udland – alt sammen finansieret af Erasmus.......Få lidt luft under vingerne, kom ud at møde udenlandske kolleger og se, hvordan man også kan lave uddannelsesbibliotek. Med begejstring fortæller tre bibliotekarer om deres oplevelser i det store udland – alt sammen finansieret af Erasmus....

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.

Ud med Freud, Marx og Lacan

DEFF Research Database (Denmark)

Clasen, Mathias

2009-01-01

Det er på høje tid, at humanister løsriver sig fra deres forældede teorier. Freud, Marx og Lacan skal erstattes med evolutionspsykologi, biologi og kognitionsvidenskab.......Det er på høje tid, at humanister løsriver sig fra deres forældede teorier. Freud, Marx og Lacan skal erstattes med evolutionspsykologi, biologi og kognitionsvidenskab....

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)

Til julefrokost med Bjørn & Okay

DEFF Research Database (Denmark)

Smith-Sivertsen, Henrik

2012-01-01

I denne artikel vises med udgangspunkt i en beskrivelse af et specifikt arrangement med det danske danseorkester Bjørn & Okay, hvordan man optræder inden for denne særlige musiktradition. Bjørn & Okays performative udgangspunkt er, at de, trods en status som landskendt orkester med mange hits, i ...... the audience and constantly telling them what to do. At the same time he and the other musicians actively bond with the audience, both onstage and offstage, which helps building the spirit of community, which is the clear goal of the musical performance....

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...

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

Directory of Open Access Journals (Sweden)

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

Selskabsloven med kommentarer

DEFF Research Database (Denmark)

Schaumburg-Müller, Peer; Werlauff, Erik

Selskabsloven med kommentarer er bibelen på området for kapitalselskaber. Den er et juridisk arbejdsredskab for praktikere, rådgivere, forskere og studerende. Bogen indeholder en komplet opdatering af kommentarerne i forhold til de mange ændringer i selskabsloven siden 1.-udgaven, men bygger i øv...

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.

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.

Automation med pneumatiske servodrev - status og fremtid

DEFF Research Database (Denmark)

Sørensen, Paul Haase

1996-01-01

Der er råd for problemer med ulineariteter. Med de nyeste metoder kan der lineære driftsområde udvides. Men pneumatikkomponenter skal være af høj kvalitet, når positionering skal være nøjagtig....

Opfattelser af integration blandt unge med migrantbaggrund

DEFF Research Database (Denmark)

Skytte, Marianne; Bryderup, Inge

2014-01-01

I artiklen formidles analyser af otte interview med unge med migrantbaggrund. Der er fokus på de unges oplevelser og opfattelser af integration. Der er tale om komplekse processer og vekselvirkninger i forholdet mellem de samfundsmæssige kategoriseringer og individernes selvopfattelser. De unge o...

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.

Forandringslæring med autismediagnoser?

DEFF Research Database (Denmark)

Gustafson, Kari Ingrid; Mørck, Line Lerche

2013-01-01

Artiklen drøfter en række aktuelle spørgsmål omkring læring hos børn og unge med autisme-spektrum-forstyrrelses diagnoser. Der introduceres til en social praksisteoretisk forståelse af forandringslæring, der diskuterer forandring ikke kun i relation til en persons identitet, men også aktuelle og...... potentielle forandringer, når det gælder overskridelse af binær logik i autisme versus normalitet, samt i relation til at overskride individualiserede og dualistiske problem-forståelser af fejl og mangler ved det autistiske barn. Det illustreres, hvordan disse former for dualistisk tænkning er forankret i et...... Rasmus’ ændringer i læring, selvforståelse og tilhørsforhold perspektiveres med andre ASF-diagnostiseredes læring udforsket bl.a. gennem gruppeinterviews i regi af Asperger-foreningen. Artiklen byder således på et alternativ i form af at forstå forandringslæring som overskridende læring, med langt større...

Personer med handicap

DEFF Research Database (Denmark)

Larsen, Brian; Jonassen, Anders Bruun; Høgelund, Jan

Regeringens Arbejdsmarkedskommission kommmer medio 2009 med forslag til, hvordan den samlede arbejdsindsats varigt kan øges gennem reformer på arbejdsmarkedet. En måde det kan ske på, er ved at begrænse antallet af personer, der står uden for arbejdsmarkedet som følge af helbredsproblemer. Rappor...

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

Directory of Open Access Journals (Sweden)

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

Directory of Open Access Journals (Sweden)

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 ...

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

Directory of Open Access Journals (Sweden)

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.

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

Juridiske overvejelser i forbindelse med Influence Operationer

DEFF Research Database (Denmark)

Nissen, Thomas Elkjer

2014-01-01

Kapitel 8: Juridiske overvejelser i forbindelse med influence-operationer Af Thomas Elkjer Nissen Dette kapitel fokuserer ligesom kapitel 9 på de juridiske problemstillinger, som den teknologiske udvikling har bragt med sig til væbnede konflikter; i dette kapitel er der fokus på kommunikation....... Kapitlet ser nærmere på det moderne informationsmiljø, dets betydning i moderne konflikter og den stigende anvendelse af information som magtmiddel. Herefter rettes blikket mod de juridiske overvejelser, der er forbundet med influence-operationer, bl.a. tid og rum, chefansvar, mandat og juridisk grundlag....... Afsnittet behandler desuden bl.a. jus in bello’s grundlæggende princippers indflydelse på influence-operationer....

Ukraine i fokus sammen med Georgien

DEFF Research Database (Denmark)

Fledelius, Karsten

2017-01-01

Der er god grund til at sammenligne Ukraine og Georgien, nu fokuslande for Danmark, og der er god grund til at støtte disse to eks-sovjetiske stater med i høj grad parallelle problemer.......Der er god grund til at sammenligne Ukraine og Georgien, nu fokuslande for Danmark, og der er god grund til at støtte disse to eks-sovjetiske stater med i høj grad parallelle problemer....

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...

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

Fang CO2 med Aminosyrer

DEFF Research Database (Denmark)

Lerche, Benedicte Mai

2010-01-01

Med såkaldte “carbon capture-teknikker” er det muligt at rense røgen fra kulfyrede kraftværker, således at den er næsten helt fri for drivhusgassen CO2. Kunsten er at gøre processen tilstrækkeligt billig. Et lovende fangstredskab i denne proces er aminosyrer.......Med såkaldte “carbon capture-teknikker” er det muligt at rense røgen fra kulfyrede kraftværker, således at den er næsten helt fri for drivhusgassen CO2. Kunsten er at gøre processen tilstrækkeligt billig. Et lovende fangstredskab i denne proces er aminosyrer....

Mindfulness som smertehåndteringsredskab for kvinder med endometriose

DEFF Research Database (Denmark)

Jensen, Mette Kold; Vedsted-Hansen, Hanne; Hansen, Tia G. B.

2011-01-01

Endometriose er en kronisk underlivssygdom med smerter og en række afledte problemer, som ikke nødvendigvis kan behandles med lægelige tiltag. Artiklen argumenterer for, at en mindfulness-baseret tilgang med fokus på smertehåndtering kan anvendes til denne klientgruppe. I vestlig terapeutisk...... sammenhæng kan mindfulness karakteriseres som nærvær, observation og beskrivelse af sansninger uden vurdering eller reaktion. Mindfulness-træning har effekt mod andre typer stress og kroniske smerter, og artiklen opridser et koncept til anvendelse ved endometriose. Konceptet belyses med en case, hvor...

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 ...

Frihet & struktur : en kvalitativ studie av skolelivskvalitet hos ungdom med Tourette syndrom

OpenAIRE

Siverts, Torstein

2005-01-01

Sammendrag. Tittel: Skolelivskvalitet hos ungdom med Tourette Syndrom Med bakgrunn i egen erfaring fra arbeid med elever med Tourette Syndrom i grunnskolen, og i studier i spesialpedagogisk teori og empiri, etterstrebes det i denne studien å utvikle økt forståelse for hva slags erfaringer fra og perspektiver på sitt skoleliv elever med denne funksjonshemmende lidelsen har. Med grunnlag i analyser av intervjuer med elever om deres erfaringer og perspektiver, har jeg prøvd å b...

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...

Spilleregler i musikterapi med børn

DEFF Research Database (Denmark)

Holck, Ulla

2005-01-01

Artiklen gennemgår udvalgte eksempler på anvendelse af spilleregler i musikterapi med børneklientgrupper. Efter en kort introduktion af Priestleys syn på analytisk musikterapi med børn, præsenteres læseren således for en række caseeksempler fra faglitteraturen, der giver indblik i udformning og a...

Forsøg med Hi-Con altanelement

DEFF Research Database (Denmark)

Hansen, Lars Pilegaard

Denne rapport beskriver forsøg udført på Laboratoriet for Bærende Konstruktioner, Aalborg Universitet med et altanelement leveret af Hi-Con Aps, Hjallerup. Forsøgene er udført i september 2002. Forsøgene omfatter en statisk prøvning, hvor altanelementet blev belastet med sandsække og nedbøjningerne...

Rutsjende dug - breddeopgave 73 med didaktisk kommentar

DEFF Research Database (Denmark)

Jensen, Jens Højgaard

2017-01-01

Mit formål med artikelserien om breddeopgaver er - udover at gøre opmærksom på RUCs fysikuddannelse - dobbelt: Dels udvælger jeg opgaverne, så de kan have interesse som fysikproblemer i egen ret. Dels udvælger jeg dem med henblik på at kunne knytte didaktiske overvejelser til dem af interesse for...

Research

African Journals Online (AJOL)

ebutamanya

2015-06-13

Jun 13, 2015 ... PubMed | Google. Scholar. 2. Rashad S, Basroum MD. Chronic kidney disease in the developing world. N Engl J Med. 2006 March; 354(10): 997-. 999. PubMed | Google Scholar. 3. Odubanjo MO, Oluwasola AO, Kadiri S. The epidemiology of end-stage renal disease in Nigeria: The way forward. Int Urol.

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.

Case report

African Journals Online (AJOL)

raoul

. ;17(1): 5026-5027. This article on PubMed. 2. Sukkarieh Troy, Smaldone Marc, Shah Bharat. Multiples foreign bodies in the anterior and posterior urethra.Int Braz J Urol. 2004 May-. Jun;30(3):219-20. . This article on PubMed.

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.

Digital kommunikation med den offentlige sektor

DEFF Research Database (Denmark)

Berger, Jesper Bull; Andersen, Kim Normann

til. I denne undersøgelse sættes der fokus på myndighedernes besvarelse af den digitale post. Digital post blev bl.a. etableret som et alternativ til almindelig e-mail for at det offentlige kan kommunikere med borgere og virksomheder på en sikker måde, dvs. uden at uvedkommende kan få adgang til...... følsomme oplysninger. Fokus for undersøgelsen er hvordan håndterer myndighederne besvarelserne i den digitale postkasse: svarer de på digital post og e-mail, hvor hurtigt svarer de og er svarene brugbare? Undersøgelsen medtager myndighedernes besvarelse af digital post og e-mail, dels for at kunne...... sammenligne de to digitale kanaler og for at kunne sammenligne med en tidligere undersøgelse af digital kommunikation med det offentlige. Herudover er der tidligere gennemført en undersøgelse af e-mail svar og svartider i New Zealand og Australien. De danske resultater fra e-mail undersøgelsen, men ikke...

Mellem nyliberalisme og terror - Interview med Chantal Mouffe

DEFF Research Database (Denmark)

Hansen, Allan Dreyer; Sonnichsen, André

2012-01-01

Interview med Chantal Mouffe om Hegemony and Socalist Strategy, modstandere og fjender en ny multipolær verdensorden og demokrati......Interview med Chantal Mouffe om Hegemony and Socalist Strategy, modstandere og fjender en ny multipolær verdensorden og demokrati...

Effektelektronik - teknologi med energibesparelser og forbedret performance

DEFF Research Database (Denmark)

Blaabjerg, Frede

2004-01-01

Lige siden transistoren blev opfundet, har det altid været ønskeligt at kunne anvende en sådan til at styre store strømme/spændinger i elektriske systemer. Det er teknologisk også sket, først med tyristorer til styring af store effekter, men siden hen også med den bipolare transistor MOSFET, samt...

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.

Ny viden begynder med forhindringer

DEFF Research Database (Denmark)

Johansen, Martin Blok

2017-01-01

Pædagogik og pædagogisk arbejde diskuteres typisk inden for rammerne af det at hjælpe, støtte, simplificere og kompleksitetsreducere. Hvis man ønsker at vide noget om forhindringer, modstand og vanskeligheder som pædagogiske muligheder, så er udbuddet derimod forsvindende småt. Og når sådanne...... begreber endelig tages op, så benævnes de typisk blot, men bliver sjældent defineret. Hvad menes der med modstand, vanskeligheder eller kompleksitet? Med afsæt i en kort gennemgang af eksisterende forskning på området forsøger denne artikel at give et bud på en mulig definition af begrebet forhindring...

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.

Psykomotorisk behandling og wellness til personer med demens

DEFF Research Database (Denmark)

Stamp, Anne Schinkel; Frausing, Kristian Park

Rapporten evaluerer projektet Psykomotorisk behandling af personer med demens gennem fokusgruppeinterviews med deltagende studerende og personale fra deltagende centre. Samlet peges der på gavnligt udbytte for de demente beboere samt både personligt og fagligt udbytte for de deltagende studerende...

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...

Inkludering av ungdom med minoritetsbakgrunn i NIF-organisert idrett

Directory of Open Access Journals (Sweden)

Mari Kristin Sisjord

2014-10-01

Full Text Available Norges Idrettsforbund og Olympiske og Paralympiske Komité (NIF har en uttalt målsetting om en åpen og inkluderende idrett. Hvordan kommer dette til uttrykk i den praktiske virksomheten? Denne artikkelen, som bygger på data fra en undersøkelse om likestilling og mangfold i den organiserte idretten (NIF, retter søkelyset mot arbeid med inklusjon av ungdom med minoritetsbakgrunn på ulike organisasjonsnivå i NIF: særforbund, idrettskretser og idrettslag. Datamaterialet er kvalitative intervju med representanter fra ulike organisasjonsnivå. Resultatene viser at NIFs overordnede politikk i varierende grad nedfelles i særforbundenes virksomhet, i idrettskretsene og i idrettslagene. Av særforbundene skiller Fotballforbundet og Klatreforbundet seg ut som aktive pådrivere i arbeidet med inkludering. Mange idrettslag oppfattet slike spørsmål som lite aktuelle i sitt rekrutteringsområde. Representanter for lag som hadde erfaring med inkludering og rekruttering av minoritetsungdom, tilkjennega varierte erfaringer og synspunkter.

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...

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)

Professionalisme med innovativt potentiale

DEFF Research Database (Denmark)

Nielsen, Inger Marie

To teoretiske sværvægtere bliver koblet sammen i Inger Marie Larsen-Nielsen arbejdspapir om professionalisme med innovativt potentiale. De to teoretikere er læringsteoretikeren John Dewey og socialpsykologen Georg Herbert Mead, som er sat sammen i en teoretisk forståelsesramme omkring professionel...

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.

Comparison of PubMed and Google Scholar literature searches.

Science.gov (United States)

Anders, Michael E; Evans, Dennis P

2010-05-01

Literature searches are essential to evidence-based respiratory care. To conduct literature searches, respiratory therapists rely on search engines to retrieve information, but there is a dearth of literature on the comparative efficiencies of search engines for researching clinical questions in respiratory care. To compare PubMed and Google Scholar search results for clinical topics in respiratory care to that of a benchmark. We performed literature searches with PubMed and Google Scholar, on 3 clinical topics. In PubMed we used the Clinical Queries search filter. In Google Scholar we used the search filters in the Advanced Scholar Search option. We used the reference list of a related Cochrane Collaboration evidence-based systematic review as the benchmark for each of the search results. We calculated recall (sensitivity) and precision (positive predictive value) with 2 x 2 contingency tables. We compared the results with the chi-square test of independence and Fisher's exact test. PubMed and Google Scholar had similar recall for both overall search results (71% vs 69%) and full-text results (43% vs 51%). PubMed had better precision than Google Scholar for both overall search results (13% vs 0.07%, P PubMed searches with the Clinical Queries filter are more precise than with the Advanced Scholar Search in Google Scholar for respiratory care topics. PubMed appears to be more practical to conduct efficient, valid searches for informing evidence-based patient-care protocols, for guiding the care of individual patients, and for educational purposes.

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.

Vilka typer av nyheter har drivit stora prisförändringar hos börsnoterade europeiska fotbollsklubbar? : Är prisförändringarna ekonomiskt rationella?

OpenAIRE

Dagberg, Michael; Yap, Daniel

2016-01-01

Bakgrund: Det som skiljer fotbollsbranschen från övriga företag är att framgång i inte enbart mäts i ökade marknadsandelar eller intäkter utan även utifrån sportsliga framgångar. Traditionell finansteori med utgångspunkt i ekonomisk rationalitet kontrasterar en känslobaserad beteendeekonomi för att förklara vad som driver fotbollsklubbars aktiepriser. Syfte: Syftet med uppsatsen är att identifiera och kartlägga vilka typer av nyheter som har drivit stora prisförändringar och analysera om det ...

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...

Best, Useful and Objective Precisions for Information Retrieval of Three Search Methods in PubMed and iPubMed

Directory of Open Access Journals (Sweden)

Somayyeh Nadi Ravandi

2016-10-01

Full Text Available MEDLINE is one of the valuable sources of medical information on the Internet. Among the different open access sites of MEDLINE, PubMed is the best-known site. In 2010, iPubMed was established with an interaction-fuzzy search method for MEDLINE access. In the present work, we aimed to compare the precision of the retrieved sources (Best, Useful and Objective precision in the PubMed and iPubMed using two search methods (simple and MeSH search in PubMed and interaction-fuzzy method in iPubmed. During our semi-empirical study period, we held training workshops for 61 students of higher education to teach them Simple Search, MeSH Search, and Fuzzy-Interaction Search methods. Then, the precision of 305 searches for each method prepared by the students was calculated on the basis of Best precision, Useful precision, and Objective precision formulas. Analyses were done in SPSS version 11.5 using the Friedman and Wilcoxon Test, and three precisions obtained with the three precision formulas were studied for the three search methods. The mean precision of the interaction-fuzzy Search method was higher than that of the simple search and MeSH search for all three types of precision, i.e., Best precision, Useful precision, and Objective precision, and the Simple search method was in the next rank, and their mean precisions were significantly different (P < 0.001. The precision of the interaction-fuzzy search method in iPubmed was investigated for the first time. Also for the first time, three types of precision were evaluated in PubMed and iPubmed. The results showed that the Interaction-Fuzzy search method is more precise than using the natural language search (simple search and MeSH search, and users of this method found papers that were more related to their queries; even though search in Pubmed is useful, it is important that users apply new search methods to obtain the best results.

MedRate: a wearable against child mortality

CERN Document Server

CERN. Geneva

2018-01-01

In humanitarian environments, when treating the main causes of child mortality, there are two key vital constants not easily measurable: the heart beat of the foetus and respiration rate of children. During the CERN Medtech:Hack, my team came up with MedRate, an inexpensive wearable able to monitor both. Collaboration is required to make MedRate a reality. Would you join us for a more fair fight against child mortality?

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.

The MedAustron project: an example of large-scale technology transfer

CERN Multimedia

Antonella Del Rosso & Michael Benedikt

2013-01-01

In January this year, CERN’s Director-General Rolf Heuer handed over the first ion source to the MedAustron therapy centre in the town of Wiener Neustadt in the presence of the Austrian authorities. This milestone marks the beginning of the transition from the development and design phase to the commissioning of the new facility.   Handover of the ion source to MedAustron on 11 January, 2013. From left to right: Michael Benedikt (Project Leader MedAustron at CERN), Karlheinz Töchterle (Austrian Federal Minister of Science and Research), Erwin Pröll (Governor of Lower Austria), Rolf Heuer (Director-General CERN), Klaus Schneeberger (Lower Austrian State Parliament, Head of EBG MedAustron Council). The goal of the MedAustron project is the construction of an ion-therapy and research centre, based on a synchrotron accelerator complex, in Austria (for more about the technical part of the MedAustron project, click here). “MedAustron will be the first large-sca...

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)

Arbejdspladsvurdering i små virksomheder med 1-4 ansatte

DEFF Research Database (Denmark)

Hasle, Peter; Esben, Dalskinn

En analyse af mulighederne for at gennemføre arbejdspladsvurdering i mikrovirksomheder med 1-4 ansatte.......En analyse af mulighederne for at gennemføre arbejdspladsvurdering i mikrovirksomheder med 1-4 ansatte....

PubMed Interact: an Interactive Search Application for MEDLINE/PubMed

Science.gov (United States)

Muin, Michael; Fontelo, Paul; Ackerman, Michael

2006-01-01

Online search and retrieval systems are important resources for medical literature research. Progressive Web 2.0 technologies provide opportunities to improve search strategies and user experience. Using PHP, Document Object Model (DOM) manipulation and Asynchronous JavaScript and XML (Ajax), PubMed Interact allows greater functionality so users can refine search parameters with ease and interact with the search results to retrieve and display relevant information and related articles. PMID:17238658

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%.

En definitionssandhed med modifikationer

DEFF Research Database (Denmark)

Holtermann, Jakob v. H.; Olsen, Henrik Palmer

2013-01-01

Denne artikel indgår i den debat om retskildebegrebet, der tidligere har været rejst af Jens Ravnkilde. Forfatterne påviser flere svagheder i Ravnkildes argumentation, herunder at han ignorerer hele den internationale diskussion på området, samtidig med at han baserer sit eget angiveligt nyudvikl...

ORIGINAL ARTICLE

African Journals Online (AJOL)

User

Inadequate nutrition has been recognized as a seri- ous complication of the .... eating habit and reduce feeding time in SCD (Singhal et al., 2002). ... Ann Afri Med, 9. (3):141-146. ... in Nigerian children with sickle cell disease. West Afr. J. Med, ...

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.

Tur-samspil i musikterapi med børn med svære kommunikationsvanskeligheder

DEFF Research Database (Denmark)

Holck, Ulla

2006-01-01

Tur-samspil udgør en vigtig grundsten i den tidlige sociale og kommunikative udvikling, og optræder ofte i musikterapeutiske samspil med kommunikationssvage børn. Artiklen præsenterer relevante begreber fra faglitteraturen om tur-samspil i voksendialoger (de såkaldte Konversationsanalyser), som k...

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.

Musikterapi med kontakt- og kommunikationssvage børn

DEFF Research Database (Denmark)

Frederiksen, Britta Vinkler

2009-01-01

I artiklen beskrives, hvordan musikterapi er med til at støtte en målrettet udviklingsproces hos børn, med diagnoser som Asperger syndrom, autisme, opmærksomhedsforstyrrelser, ADHD o.lign. Musikkens kvaliteter beskrives og illustreres gennem vignetter fra terapiforløb, der alle er foregået i Klinik...

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

Ødelæg alt muligt med et bogstav

DEFF Research Database (Denmark)

Konzack, Lars

2017-01-01

En gang imellem griber en raptus SoMe-Danmark, og så fyldes alles feed med samme slags indhold. Senest overspringshandlede vi med hashtagget #oedelaeg1filmed1bogstav - og alle mulige afledninger af det....

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.

PubMed Medical Publications From Libya | Bakoush | Libyan ...

African Journals Online (AJOL)

We also used the same method to obtain data on the PubMed medical publications from Tunisia, Morocco and Yemen. Tunisia had the largest number of PubMed publications among the studied countries: 20.4 publications per million population per year and 7.2 publications per year per one billion US$ GDP. Libya had ...

En bog om Michael Strunge

DEFF Research Database (Denmark)

Mai, Anne-Marie

Antologi med bidrag om Michael Strunges forfatterskab. Bidrag af Anne-Marie Mai, Jørgen Aabenhus, Marianne Stidsen, Moritz Schramm, Tue Andersen Nexø, Lars Bukdahl, Jon Helt Haarder, Rune Kühl er optaget efter fagfællesbedømmelse. Antologien er redigeret af Anne-Marie Mai og Jørgen Aabenhus....

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.

MedlinePlus FAQ: MedlinePlus and MEDLINE/PubMed

Science.gov (United States)

... What is the difference between MedlinePlus and MEDLINE/PubMed? To use the sharing features on this page, ... latest health professional articles on your topic. MEDLINE/PubMed: Is a database of professional biomedical literature Is ...

GOClonto: an ontological clustering approach for conceptualizing PubMed abstracts.

Science.gov (United States)

Zheng, Hai-Tao; Borchert, Charles; Kim, Hong-Gee

2010-02-01

Concurrent with progress in biomedical sciences, an overwhelming of textual knowledge is accumulating in the biomedical literature. PubMed is the most comprehensive database collecting and managing biomedical literature. To help researchers easily understand collections of PubMed abstracts, numerous clustering methods have been proposed to group similar abstracts based on their shared features. However, most of these methods do not explore the semantic relationships among groupings of documents, which could help better illuminate the groupings of PubMed abstracts. To address this issue, we proposed an ontological clustering method called GOClonto for conceptualizing PubMed abstracts. GOClonto uses latent semantic analysis (LSA) and gene ontology (GO) to identify key gene-related concepts and their relationships as well as allocate PubMed abstracts based on these key gene-related concepts. Based on two PubMed abstract collections, the experimental results show that GOClonto is able to identify key gene-related concepts and outperforms the STC (suffix tree clustering) algorithm, the Lingo algorithm, the Fuzzy Ants algorithm, and the clustering based TRS (tolerance rough set) algorithm. Moreover, the two ontologies generated by GOClonto show significant informative conceptual structures.

National trivselsdag med fokus på bevægelse

DEFF Research Database (Denmark)

Holt, Anne-Didde

2016-01-01

breaks”, skriver tre elever. Trivselsdagen gav ligeledes anledning til at dele de gode erfaringer, der indtil nu er udsprunget af ’Trivsel og Bevægelse i Skolen’ - P1 Morgen, P4 Fyn og TV-avisen bragte historier fra dagen på Glamsbjergskolen i Assens, mens P4 Midt og Vest besøgte Haldgård Skole i...... til at fordybe sig i, videreudvikle og vise omverdenen, hvordan der arbejdes med at fremme trivsel gennem bevægelse. Eleverne arbejdede bl.a. med at udvikle og afprøve brain breaks, som er små pauser med bevægelsesaktiviteter, der lægges ind i løbet af den stillesiddende undervisning. Formålet var...... for dem. ”Vi synes brain breaks er vigtige fordi med brain breaks får vi meget mere energi og fordi at man får et bedre forhold til sine klassekammerater, som man måske ikke snakker med så tit. Man kan holde til mere og det er vigtigt at få en pause til at tænke så derfor vil vi gerne have flere brain...

The MedAustron Project at CERN, Status Report, May 2013

CERN Document Server

Benedikt, M; Gutleber, J

2013-01-01

MedAustron is a light ion-therapy and research centre based on a synchrotron accelerator complex under construction in Austria. It is the first large-scale accelerator facility in Austria. For the implementation of the required accelerator technologies, the county of Lower Austria and the company EBG MedAustron have set up dedicated agreements with CERN. These cover the assistance of CERN for the design and manufacturing follow-up of accelerator components and training of MedAustron personnel. CERN contributed to the MedAustron construction in particular by providing domain expertise, infrastructure, and manpower in relation with the design, the tendering and procurement processes.\

Orientering og banelægning med Google Earth og Condes

DEFF Research Database (Denmark)

Jørgensen, Henrik Taarsted; Piaster, Thomas Gabriel

2011-01-01

Et e-læringsmodul på Danmarks undervisningsportal, som handler om hvordan man kan arbejde med banelægning indenfor o-løb. Med udgangspunkt i de to gratisprogrammer Google Earth og Condes lærer man gennem modulet, hvordan man indtegner poster og hvordan eleverne kan gøre det samme.......Et e-læringsmodul på Danmarks undervisningsportal, som handler om hvordan man kan arbejde med banelægning indenfor o-løb. Med udgangspunkt i de to gratisprogrammer Google Earth og Condes lærer man gennem modulet, hvordan man indtegner poster og hvordan eleverne kan gøre det samme....

Poetisk sortsyn med lys for enden

DEFF Research Database (Denmark)

Larsen, Peter Stein

2015-01-01

Ursula Andkjær Olsens digtsamling " Udgående fartøj" indledes med den følgende prægnante passage, der kan læses i sin helhed som " ugens digt" her på siden: " jeg har brugt tid på at tyde/ sprede dumpe fornemmelser / fra mit fjerne indre (...)......Ursula Andkjær Olsens digtsamling " Udgående fartøj" indledes med den følgende prægnante passage, der kan læses i sin helhed som " ugens digt" her på siden: " jeg har brugt tid på at tyde/ sprede dumpe fornemmelser / fra mit fjerne indre (...)...

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,.

At skrive med video

DEFF Research Database (Denmark)

Holmboe, Peter

2018-01-01

Det kræver særlige kompetencer at skrive en digital tekst, så modtageren kan læse og bruge den. Derfor er det vigtigt at stimulere og udvikle elevernes skrivekompetence med både viden og værktøjer. Digital skrivedidaktik præsenterer teori om skrivekompetence og digital skrivning. Derudover...

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)

Exome sequencing identifies highly recurrent MED12 somatic mutations in breast fibroadenoma.

Science.gov (United States)

Lim, Weng Khong; Ong, Choon Kiat; Tan, Jing; Thike, Aye Aye; Ng, Cedric Chuan Young; Rajasegaran, Vikneswari; Myint, Swe Swe; Nagarajan, Sanjanaa; Nasir, Nur Diyana Md; McPherson, John R; Cutcutache, Ioana; Poore, Gregory; Tay, Su Ting; Ooi, Wei Siong; Tan, Veronique Kiak Mien; Hartman, Mikael; Ong, Kong Wee; Tan, Benita K T; Rozen, Steven G; Tan, Puay Hoon; Tan, Patrick; Teh, Bin Tean

2014-08-01

Fibroadenomas are the most common breast tumors in women under 30 (refs. 1,2). Exome sequencing of eight fibroadenomas with matching whole-blood samples revealed recurrent somatic mutations solely in MED12, which encodes a Mediator complex subunit. Targeted sequencing of an additional 90 fibroadenomas confirmed highly frequent MED12 exon 2 mutations (58/98, 59%) that are probably somatic, with 71% of mutations occurring in codon 44. Using laser capture microdissection, we show that MED12 fibroadenoma mutations are present in stromal but not epithelial mammary cells. Expression profiling of MED12-mutated and wild-type fibroadenomas revealed that MED12 mutations are associated with dysregulated estrogen signaling and extracellular matrix organization. The fibroadenoma MED12 mutation spectrum is nearly identical to that of previously reported MED12 lesions in uterine leiomyoma but not those of other tumors. Benign tumors of the breast and uterus, both of which are key target tissues of estrogen, may thus share a common genetic basis underpinned by highly frequent and specific MED12 mutations.

Further confirmation of the MED13L haploinsufficiency syndrome

NARCIS (Netherlands)

van Haelst, M.M.; Monroe, G.R.; Duran, K.J.; van Binsbergen, E.; Breur, J.M.P.J.; Giltay, J.C.; van Haaften, G.W.

MED13L haploinsufficiency syndrome has been described in two patients and is characterized by moderate intellectual disability (ID), conotruncal heart defects, facial abnormalities and hypotonia. Missense mutations in MED13L are linked to transposition of the great arteries and non-syndromal

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...

Death, dying and informatics: misrepresenting religion on MedLine.

Science.gov (United States)

Rodríguez Del Pozo, Pablo; Fins, Joseph J

2005-07-01

The globalization of medical science carries for doctors worldwide a correlative duty to deepen their understanding of patients' cultural contexts and religious backgrounds, in order to satisfy each as a unique individual. To become better informed, practitioners may turn to MedLine, but it is unclear whether the information found there is an accurate representation of culture and religion. To test MedLine's representation of this field, we chose the topic of death and dying in the three major monotheistic religions. We searched MedLine using PubMed in order to retrieve and thematically analyze full-length scholarly journal papers or case reports dealing with religious traditions and end-of-life care. Our search consisted of a string of words that included the most common denominations of the three religions, the standard heading terms used by the National Reference Center for Bioethics Literature (NRCBL), and the Medical Subject Headings (MeSH) used by the National Library of Medicine. Eligible articles were limited to English-language papers with an abstract. We found that while a bibliographic search in MedLine on this topic produced instant results and some valuable literature, the aggregate reflected a selection bias. American writers were over-represented given the global prevalence of these religious traditions. Denominationally affiliated authors predominated in representing the Christian traditions. The Islamic tradition was under-represented. MedLine's capability to identify the most current, reliable and accurate information about purely scientific topics should not be assumed to be the same case when considering the interface of religion, culture and end-of-life care.

Hvad SKER der med drikkevandet i USA?

DEFF Research Database (Denmark)

Ramsay, Loren Mark

2017-01-01

Forskellige lande har forskellige traditioner indenfor drikkevandsbehandling. Denne beretning fra ”Water Quality Technology Conference” i USA er set med en særlig vinkel, da forfatteren er amerikansk statsborger, men har arbejdet i den danske vandbranche i mere end 25 år.......Forskellige lande har forskellige traditioner indenfor drikkevandsbehandling. Denne beretning fra ”Water Quality Technology Conference” i USA er set med en særlig vinkel, da forfatteren er amerikansk statsborger, men har arbejdet i den danske vandbranche i mere end 25 år....

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.

Food-Dependent Exercise-Induced Anaphylaxis - Kasuistik med hydrolyseret valleprotein

DEFF Research Database (Denmark)

Junker Christensen, Morten

2013-01-01

Formål / Introduktion: Patienter med Food-Dependent Exercise-Induced Anaphylaxis (FDEIA) eller løbershock kan udvikle livstruende allergiske reaktioner (anafylaksi), når de kombinere fysisk anstrengelse med samtidig indtagelse af et normalt tolereret fødeemne - oftest hvede. Hydrolysering af prot...

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

Beskrivelse af næringsstofomsætning med metabolomics

DEFF Research Database (Denmark)

Hedemann, Mette Skou

2010-01-01

I et forsøg med mink med lav eller høj foderkonvertering er der blevet taget blodprøver på tre tidspunkter. Blodprøverne er blevet taget i en periode, hvor minkene er blevet fodret restriktivt (en prøve) og i en periode med ad libitum fodring (to prøver). Blodprøverne blev analyseret ved hjælp af...... fra restriktivt fodrede mink end i plasma fra ad libitum fodrede mink - betain og carnitin. Derudover er der en lang række andre metabolitter, som også findes i forskellig koncentration som endnu ikke er identificeret....

Retrieval of diagnostic and treatment studies for clinical use through PubMed and PubMed's Clinical Queries filters.

Science.gov (United States)

Lokker, Cynthia; Haynes, R Brian; Wilczynski, Nancy L; McKibbon, K Ann; Walter, Stephen D

2011-01-01

Clinical Queries filters were developed to improve the retrieval of high-quality studies in searches on clinical matters. The study objective was to determine the yield of relevant citations and physician satisfaction while searching for diagnostic and treatment studies using the Clinical Queries page of PubMed compared with searching PubMed without these filters. Forty practicing physicians, presented with standardized treatment and diagnosis questions and one question of their choosing, entered search terms which were processed in a random, blinded fashion through PubMed alone and PubMed Clinical Queries. Participants rated search retrievals for applicability to the question at hand and satisfaction. For treatment, the primary outcome of retrieval of relevant articles was not significantly different between the groups, but a higher proportion of articles from the Clinical Queries searches met methodologic criteria (p=0.049), and more articles were published in core internal medicine journals (p=0.056). For diagnosis, the filtered results returned more relevant articles (p=0.031) and fewer irrelevant articles (overall retrieval less, p=0.023); participants needed to screen fewer articles before arriving at the first relevant citation (p<0.05). Relevance was also influenced by content terms used by participants in searching. Participants varied greatly in their search performance. Clinical Queries filtered searches returned more high-quality studies, though the retrieval of relevant articles was only statistically different between the groups for diagnosis questions. Retrieving clinically important research studies from Medline is a challenging task for physicians. Methodological search filters can improve search retrieval.

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.

Nye steder med liv og sjæl?

DEFF Research Database (Denmark)

Stender, Marie

planlæggere, der har skabt dem, udforskes stedernes tilblivelsesproces og sociale liv. Det nye sted opfattes af både beboere og professionelle som en bar mark, og mange kræfter sættes ind på at genfortrylle det med et skær af liv, identitet og historie fra start. Hånd i hånd med branding, virtuelle fora...

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.

Spilleregler i musikterapi med voksne

DEFF Research Database (Denmark)

Holck, Ulla

2005-01-01

Artiklen gennemgår udvalgt faglitteratur, der på et overordnet plan beskriver typer af spilleregler i musikterapi med (fortrinsvis) voksne klientgrupper. Udgangspunktet er Priestleys anvendelse af begrebet, og hendes inddeling af spilleregler i forhold til forskellige teknikker gennemgås, efterfu...

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)

Forskning i musikterapi - børn med en Autisme Spektrum Forstyrrelse

DEFF Research Database (Denmark)

Holck, Ulla

2011-01-01

Der er forskningsmæssig evidens for, at musikterapi med børn med en autisme spektrum forstyrrelse (ASF) har en signifikant effekt. Cochrane reviews påviser, at musikterapi fremmer verbal og navnlig nonverbal kommunikation hos børn med ASF. En RCT-undersøgelse viser endvidere en signifikant effekt...

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

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)

'In the developed world, people talk and shop'- a review by Anne ...

African Journals Online (AJOL)

'In the developed world, people talk and shop'- a review by Anne Derges. A. Salleh. http://dx.doi.org/10.4314/safere.v3i1.23966 · AJOL African Journals Online. HOW TO USE AJOL... for Researchers · for Librarians · for Authors · FAQ's · More about AJOL · AJOL's Partners · Terms and Conditions of Use · Contact AJOL ...

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

Death, dying and informatics: misrepresenting religion on MedLine

Directory of Open Access Journals (Sweden)

Fins Joseph J

2005-07-01

Full Text Available Abstract Background The globalization of medical science carries for doctors worldwide a correlative duty to deepen their understanding of patients' cultural contexts and religious backgrounds, in order to satisfy each as a unique individual. To become better informed, practitioners may turn to MedLine, but it is unclear whether the information found there is an accurate representation of culture and religion. To test MedLine's representation of this field, we chose the topic of death and dying in the three major monotheistic religions. Methods We searched MedLine using PubMed in order to retrieve and thematically analyze full-length scholarly journal papers or case reports dealing with religious traditions and end-of-life care. Our search consisted of a string of words that included the most common denominations of the three religions, the standard heading terms used by the National Reference Center for Bioethics Literature (NRCBL, and the Medical Subject Headings (MeSH used by the National Library of Medicine. Eligible articles were limited to English-language papers with an abstract. Results We found that while a bibliographic search in MedLine on this topic produced instant results and some valuable literature, the aggregate reflected a selection bias. American writers were over-represented given the global prevalence of these religious traditions. Denominationally affiliated authors predominated in representing the Christian traditions. The Islamic tradition was under-represented. Conclusion MedLine's capability to identify the most current, reliable and accurate information about purely scientific topics should not be assumed to be the same case when considering the interface of religion, culture and end-of-life care.

Farlig sex med engle

DEFF Research Database (Denmark)

Mejrup, Kristian

2013-01-01

De fleste af os tænker ikke på engle som kønnede væsner med en seksualitet, og selv om vi er i stand til at acceptere engle i alle mulige afskygninger, fra juletræets tyksakker i glitrende guld til frygtindgydende skikkelser i de bibelske skrifter, så er vi tilbøjelig til at ignorere spørgsmålet ...

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.

Hvad skal vi med Trump-satire?

DEFF Research Database (Denmark)

Møller, Mette

2017-01-01

Trump-satire er et stort hit, og særligt en lang række satiriske videohilsner til Trump fra lande verden over får folk til at trække på smilebåndet. Men hvorfor er det så sjovt at gøre grin med Trump, og hvad kan vi bruge den politiske humor til?......Trump-satire er et stort hit, og særligt en lang række satiriske videohilsner til Trump fra lande verden over får folk til at trække på smilebåndet. Men hvorfor er det så sjovt at gøre grin med Trump, og hvad kan vi bruge den politiske humor til?...

Ion Sources for MedAustron

CERN Document Server

Lettry, J; Wallner, J; Sargsyan, E; CERN. Geneva. BE Department

2010-01-01

The MedAustron Ion therapy center will be constructed in Wiener Neustadt (Austria) in the vicinity of Vienna. Its accelerator complex consists of four ion sources, a linear accelerator, a synchrotron and a beam delivery system to the three medical treatment rooms and to the research irradiation room. The ion sources shall deliver beams of H31+, C4+ and light ions with utmost reliability and stability. This paper describes the features of the ion sources presently planned for the MedAustron facility; such as ion source main parameters, gas injection, temperature control and cooling systems. A dedicated beam diagnostics technique is proposed in order to characterize ECR ions beams; in the first drift region after the ion source, a fraction of the mixed beam is selected via moveable aperture. With standard beam diagnostics, we then aim to produce position-dependant observables such as ion-current density, beam energy distribution and emittance for each charge states to be compared to simulations of ECR e-heating...

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.

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

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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.

Hovedpointer fra telefon survey med D&I kandidater og aftagere

DEFF Research Database (Denmark)

Brodersen, Søsser; Lindegaard, Hanne

2010-01-01

Som en anden fase i D&I evalueringen gennemførtes en telefon survey med alle færdige D&I kandidater (i perioden september til november 2009). Formålet med denne telefon survey var at kortlægge kandidaternes karriereforløb: mønstrer, entre på arbejdsmarkedet og hvor søger de job, beskæftigelsesmøn......Som en anden fase i D&I evalueringen gennemførtes en telefon survey med alle færdige D&I kandidater (i perioden september til november 2009). Formålet med denne telefon survey var at kortlægge kandidaternes karriereforløb: mønstrer, entre på arbejdsmarkedet og hvor søger de job......, beskæftigelsesmønstrer samt hvilke kompetencer de mener at have anvendt og ikke anvendt fra studiet i deres job. Telefon survey formen blev valgt for dermed at få muligheden for at få nogle kvantitative informationer frem. I alt blev 72 D&I kandidater interviewet ud af 78 mulige, dvs. vi opnåede en svarprocent på 92......,3 % . Spørgsmålene var forberedt på forhånd således at kandidaterne blev stillet de samme spørgsmål. Derudover gennemførtes en telefon survey med 14 aftagere af D&I kandidater (identificeret gennem telefon surveyen med kandidaterne, således at de repræsenterede store virksomheder, mindre virksomheder...

Software-Enabled Distributed Network Governance: The PopMedNet Experience.

Science.gov (United States)

Davies, Melanie; Erickson, Kyle; Wyner, Zachary; Malenfant, Jessica; Rosen, Rob; Brown, Jeffrey

2016-01-01

The expanded availability of electronic health information has led to increased interest in distributed health data research networks. The distributed research network model leaves data with and under the control of the data holder. Data holders, network coordinating centers, and researchers have distinct needs and challenges within this model. The concerns of network stakeholders are addressed in the design and governance models of the PopMedNet software platform. PopMedNet features include distributed querying, customizable workflows, and auditing and search capabilities. Its flexible role-based access control system enables the enforcement of varying governance policies. Four case studies describe how PopMedNet is used to enforce network governance models. Trust is an essential component of a distributed research network and must be built before data partners may be willing to participate further. The complexity of the PopMedNet system must be managed as networks grow and new data, analytic methods, and querying approaches are developed. The PopMedNet software platform supports a variety of network structures, governance models, and research activities through customizable features designed to meet the needs of network stakeholders.

[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

Å forske med kunsten kollaborativt i en fortellerforestillingsproduksjon

Directory of Open Access Journals (Sweden)

Mette Bøe Lyngstad

2018-03-01

Full Text Available I denne artikkelen viser forskerne, som også er fortellere, hvordan de i utviklingen av sin egen fortellerforestilling forsket med kunsten. Artikkelforfatterne forsøker å vise en selvrefleksivitet og metodologisk bevissthet gjennom hele kunstproduksjonen. De undersøker hvordan en gjennom å forske med kunsten kollaborativt kan koble historiske fakta, fiksjonsfortelling og livsfortelling i en kunstproduksjon. Forskningsartikkelen tar for seg kunstproduksjonens ulike faser som brainstormfase, innsamlingsfase, fortellertekniske fase og utforskingsfase i scenerommet.

Mediator Subunit Med28 Is Essential for Mouse Peri-Implantation Development and Pluripotency.

Directory of Open Access Journals (Sweden)

Lin Li

Full Text Available The multi-subunit mammalian Mediator complex acts as an integrator of transcriptional regulation by RNA Polymerase II, and has emerged as a master coordinator of development and cell fate determination. We previously identified the Mediator subunit, MED28, as a cytosolic binding partner of merlin, the Neurofibromatosis 2 (NF2 tumor suppressor, and thus MED28 is distinct in having a cytosolic role as an NF2 interacting protein as well as a nuclear role as a Mediator complex subunit. Although limited in vitro studies have been performed on MED28, its in vivo function remains unknown. Employing a knockout mouse model, we describe for the first time the requirement for Med28 in the developing mouse embryo. Med28-deficiency causes peri-implantation lethality resulting from the loss of pluripotency of the inner cell mass accompanied by reduced expression of key pluripotency transcription factors Oct4 and Nanog. Further, overexpression of Med28 in mouse embryonic fibroblasts enhances the efficiency of their reprogramming to pluripotency. Cre-mediated inactivation of Med28 in induced pluripotent stem cells shows that Med28 is required for their survival. Intriguingly, heterozygous loss of Med28 results in differentiation of induced pluripotent stem cells into extraembryonic trophectoderm and primitive endoderm lineages. Our findings document the essential role of Med28 in the developing embryo as well as in acquisition and maintenance of pluripotency during reprogramming.

'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.

Graduating med-peds residents' interest in part-time employment.

Science.gov (United States)

Fix, Amy L; Kaelber, David C; Melgar, Thomas A; Chamberlain, John; Cull, William; Robbins, Brett W

2011-01-01

As part-time work is becoming more popular among the primary care specialties, we examined the demographic descriptors of med-peds residents seeking and finding part-time employment upon completion of residency training. As part of the 2006 annual American Academy of Pediatrics (AAP) Graduating Med-Peds Residents Survey, we surveyed the graduating residents of all med-peds programs about their interest in and plans for part-time employment. A total of 199 (60%) of the residents responded. Of the resident respondents applying for nonfellowship jobs, 19% sought part-time positions and 10% actually accepted a part-time position. Female residents were significantly more likely than male residents to apply for part-time jobs (26% vs. 7%, P = .034). Sixty percent of female residents immediately seeking work and 58% of those going on to fellowship reported an interest in arranging a part-time or reduced-hours position at some point in the next 5 years. Part-time employment among med-peds residents applying for nonfellowship positions after graduation is similar to the current incidence of part-time employment in other fields of primary care. A much higher percentage of med-peds residents are interested in arranging part-time work within 5 years after graduation. This strong interest in part-time work has many implications for the primary care workforce. Copyright © 2011 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Time-dependent migration of citations through PubMed and OvidSP subsets: a study on a series of simultaneous PubMed and OvidSP searches.

Science.gov (United States)

Boeker, Martin; Vach, Werner; Motschall, Edith

2013-01-01

To quantitatively describe (1) differences between search results derived at consecutive time points with the PubMed and OvidSP literature search interfaces over a five day interval, and (2) the migration of citations through different subsets to estimate the timeliness of OvidSP. PubMed-Identifiers (PMIDs) of the following subsets were retrieved from PubMed and OvidSP simultaneously (within 8 h) at 11 days in March and April 2010 including 5 consecutive days: as supplied by publisher, in process, PubMed not MEDLINE, and OLDMEDLINE. Search results were compared for difference and intersection sets. The migration of citations on individual level was determined by comparison of corresponding sets over several days. The "in process" set was stable with about 446,000 - 452,000 citations; a small fraction of up to 3 % of the total subsets were in PubMed only and OvidSP only subsets. About 96 % of the ca. 10,500 citations in the OvidSP only subset migrated within 2 days out of the "in process" subset. The database of OvidSP is updated within a period of two days.

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

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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

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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.

Review: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho and Anne Serafin (eds., African Women Writing Resistance: An Anthology of Contemporary Voices (2010 Buchbesprechung: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho und Anne Serafin (Hrsg., African Women Writing Resistance: An Anthology of Contemporary Voices (2010

Directory of Open Access Journals (Sweden)

Anja Oed

2011-01-01

Full Text Available Review of the edited volume: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho and Anne Serafin (eds., African Women Writing Resistance: An Anthology of Contemporary Voices, Oxford: Pambazuka Press, 2010, ISBN 978-0-299-23664-9, 376 pp.Besprechung des Sammelbandes: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho und Anne Serafin (Hrsg., African Women Writing Resistance: An Anthology of Contemporary Voices, Oxford: Pambazuka Press, 2010, ISBN 978-0-299-23664-9, 376 Seiten

Susceptibility of MED-Q1 and MED-Q3 Biotypes of Bemisia tabaci (Hemiptera: Aleyrodidae) Populations to Essential and Seed Oils.

Science.gov (United States)

Samuel Fogné, Drabo; Olivier, Gnankine; Bassolé, Imael H N; Nébié, Roger Charles; Laurence, Mouton

2017-06-01

Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is a major pest of many agricultural and ornamental crops in tropical and subtropical regions causing damages that result in important economic losses. Insecticides are commonly used in greenhouses or fields to control B. tabaci populations leading to rapid evolution of resistance that render treatments inefficient. Therefore, and for environmental and human health concerns, other approaches must be developed for this pest management. In the present study, we compare, using the leaf dip method, the toxicity of three essential oils (Cymbopogon citratus, Ocimum americanum, and Hyptis spicigera) and three seed oils (Lannea microcarpa, Lannea acida, and Carapa procera) with three chemical insecticides (acetamiprid, deltamethrin, and chlorpyrifos-ethyl) on adults. Two B. tabaci biotypes (MED-Q1 and MED-Q3) belonging to the Mediterranean species and collected in Burkina Faso were used. Essential oils were analyzed by gas chromatography-mass spectrometry and gas chromatography-flame ionization detector. We showed that these two biotypes have different levels of resistance to the three insecticides, MED-Q3 being more sensitive than MED-Q1. Moreover, they differ in the frequency of resistance alleles to insecticides, especially for organophosphates, as these alleles are almost fixed in MED-Q1. On the other hand, the two biotypes prove to be more susceptible to the plant extracts than to insecticides except for chlorpyrifos-ethyl, with essential oils that showed the highest insecticidal activities. Monoterpenes content were the most abundant and showed the highest insecticidal activities. Our results indicated that essential oils, but also seed oils, have the potential to constitute an alternative strategy of pest management. © The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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 ...

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 ...

Afkølingstid - breddeopgaver 45-46 med didaktisk kommentar

DEFF Research Database (Denmark)

Jensen, Jens Højgaard

2011-01-01

Mit formål med artikelserien om breddeopgaver er – udover at gøre opmærksom på RUCs fysikuddannelse – dobbelt: Dels udvælger jeg opgaverne, så de kan have interesse som fysikproblemer i egen ret. Dels udvælger jeg dem med henblik på at kunne knytte didaktiske overvejelser til dem af interesse...

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.

Differential expression of Mediator complex subunit MED15 in testicular germ cell tumors.

Science.gov (United States)

Klümper, Niklas; Syring, Isabella; Offermann, Anne; Shaikhibrahim, Zaki; Vogel, Wenzel; Müller, Stefan C; Ellinger, Jörg; Strauß, Arne; Radzun, Heinz Joachim; Ströbel, Philipp; Brägelmann, Johannes; Perner, Sven; Bremmer, Felix

2015-09-17

Testicular germ cell tumors (TGCT) are the most common cancer entities in young men with increasing incidence observed in the last decades. For therapeutic management it is important, that TGCT are divided into several histological subtypes. MED15 is part of the multiprotein Mediator complex which presents an integrative hub for transcriptional regulation and is known to be deregulated in several malignancies, such as prostate cancer and bladder cancer role, whereas the role of the Mediator complex in TGCT has not been investigated so far. Aim of the study was to investigate the implication of MED15 in TGCT development and its stratification into histological subtypes. Immunohistochemical staining (IHC) against Mediator complex subunit MED15 was conducted on a TGCT cohort containing tumor-free testis (n = 35), intratubular germ cell neoplasia unclassified (IGCNU, n = 14), seminomas (SEM, n = 107) and non-seminomatous germ cell tumors (NSGCT, n = 42), further subdivided into embryonic carcinomas (EC, n = 30), yolk sac tumors (YST, n = 5), chorionic carcinomas (CC, n = 5) and teratomas (TER, n = 2). Quantification of MED15 protein expression was performed through IHC followed by semi-quantitative image analysis using the Definiens software. In tumor-free seminiferous tubules, MED15 protein expression was absent or only low expressed in spermatogonia. Interestingly, the precursor lesions IGCNU exhibited heterogeneous but partly very strong MED15 expression. SEM weakly express the Mediator complex subunit MED15, whereas NSGCT and especially EC show significantly enhanced expression compared to tumor-free testis. In conclusion, MED15 is differentially expressed in tumor-free testis and TGCT. While MED15 is absent or low in tumor-free testis and SEM, NSGCT highly express MED15, hinting at the diagnostic potential of this marker to distinguish between SEM and NSGCT. Further, the precursor lesion IGCNU showed increased nuclear MED15

Searching PubMed for molecular epidemiology studies: the case of chromosome aberrations

DEFF Research Database (Denmark)

Ugolini, Donatella; Neri, Monica; Knudsen, Lisbeth E

2006-01-01

to environmental pollutants. The search, done on the PubMed/MedLine database, was based on a strategy combining descriptors listed in the PubMed Medical Subject Headings (MeSH) Thesaurus and other available tools (free text or phrase search tools). 178 articles were retrieved by searching the period from January 1...

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.

Ion sources for MedAustron

International Nuclear Information System (INIS)

Lettry, J.; Penescu, L.; Wallner, J.; Sargsyan, E.

2010-01-01

The MedAustron Ion therapy center will be constructed in Wiener Neustadt (Austria) in the vicinity of Vienna. Its accelerator complex consists of four ion sources, a linear accelerator, a synchrotron, and a beam delivery system to the three medical treatment rooms and to the research irradiation room. The ion sources shall deliver beams of H 3 1+ , C 4+ , and light ions with utmost reliability and stability. This paper describes the features of the ion sources presently planned for the MedAustron facility, such as ion source main parameters, gas injection, temperature control, and cooling systems. A dedicated beam diagnostics technique is proposed in order to characterize electron cyclotron resonance (ECR) ion beams; in the first drift region after the ion source, a fraction of the mixed beam is selected via moveable aperture. With standard beam diagnostics, we then aim to produce position-dependant observables such as ion-current density, beam energy distribution, and emittance for each charge states to be compared to simulations of ECR e-heating, plasma simulation, beam formation, and transport.

MedAustron board visits CERN

CERN Multimedia

CERN Bulletin

On 14 October, the board of EBG MedAustron, which is overseeing the construction of Austria’s hadron therapy centre, visited CERN. The visit recognized the relationship of shared knowledge, technology and training between CERN and MedAustron.   Normal.dotm 0 0 1 17 98 cern 1 1 120 12.0 0 false 18 pt 18 pt 0 0 false false false /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} ...

Pseudoaneurisme på arteria carotis interna behandlet med stent

DEFF Research Database (Denmark)

Benian, Cemil; Wagner, Aase; Cortsen, Marie

2013-01-01

Extracranial internal carotid artery aneurysms (EACIAs) are rare. Untreated they have a high stroke rate. Traditionally the treatment has been surgery or endovascular intervention with coils. Both are associated with relatively high complication rates. Another treatment option is endovascular int...... intervention with covered stent, which provides one-step closure of the aneurysm. As in the case story it can be complicated with in-stent occlusion. Therefore we recommend balloon occlusion test before treatment of EACIAs with covered stent....

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,

MED, COMP, multilayered and NEIN: an overview of multiple epiphyseal dysplasia

Energy Technology Data Exchange (ETDEWEB)

Lachman, Ralph S. [International Skeletal Dysplasia Registry, UCLA School of Medicine, Radiological Services, Department of Pediatrics, Los Angeles, CA (United States); International Skeletal Dysplasia Registry, Los Angeles, CA (United States); Krakow, Deborah; Cohn, Daniel H.; Rimoin, David L. [International Skeletal Dysplasia Registry, UCLA School of Medicine, Radiological Services, Department of Pediatrics, Los Angeles, CA (United States)

2005-02-01

This overview covers the group of disorders that presents radiographically as multiple epiphyseal dysplasia (MED). The disorders include ''classic MED'' (Ribbing and Fairbank types): MED that is caused by mutations in the cartilage oligomeric matrix protein (COMP), type IX collagen, and matrilin 3 genes (MATN3); and MED with multilayered patella, brachydactyly, and clubbed feet resultant from mutations in gene defect diastrophic dysplasia (DTDST). The recently identified gene/molecular abnormalities in these disorders have made more exact identification possible in many cases, although clinical testing is not always available. However, there are specific radiographic findings that allow the accurate diagnosis to be made, thus potentially guiding which molecular defect(s) should be investigated. The modes of inheritance of these distinct MED conditions are not identical. When a specific diagnosis is made, proper genetic counseling as well as prognostication, management issues and complications can be delineated to the patient and family. This review will include the mechanics of diagnostic and molecular triage for these disorders. (orig.)

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 inclusion of an online journal in PubMed central - a difficult path.

Science.gov (United States)

Grech, Victor

2016-01-01

The indexing of a journal in a prominent database (such as PubMed) is an important imprimatur. Journals accepted for inclusion in PubMed Central (PMC) are automatically indexed in PubMed but must provide the entire contents of their publications as XML-tagged (Extensible Markup Language) data files compliant with PubMed's document type definition (DTD). This paper describes the various attempts that the journal Images in Paediatric Cardiology made in its efforts to convert the journal contents (including all of the extant backlog) to PMC-compliant XML for archiving and indexing in PubMed after the journal was accepted for inclusion by the database.

Research

African Journals Online (AJOL)

abp

2016-02-09

Feb 9, 2016 ... PubMed | Google Scholar. 5. Bode CO, Ikhisemojie S, Ademuyiwa AO. Penile injuries from proximal migration of the Plastibell circumcision ring. J Pediatr. Urol. 2010; 6(1):23-27. PubMed | Google Scholar. 6. Manji KP. Circumcision of the young infant in a developing country using the Plastibell. Ann Trop ...

Case report

African Journals Online (AJOL)

abp

1 mai 2014 ... 10. Cutler CE, Gross RE. Surgical treatment of tumors of peripheral nerves. Ann Surg. 1936 September; 104(3): 436-452. PubMed. | Google Scholar. 11. Kleinert HE, Serafin D, Daniel RK. The place of microsurgery in hand surgery. Orthop Clin North Am. 1973 Oct;4(4):929-944. PubMed | Google Scholar.

Gaps in affiliation indexing in Scopus and PubMed.

Science.gov (United States)

Schmidt, Cynthia M; Cox, Roxanne; Fial, Alissa V; Hartman, Teresa L; Magee, Martha L

2016-04-01

The authors sought to determine whether unexpected gaps existed in Scopus's author affiliation indexing of publications written by the University of Nebraska Medical Center or Nebraska Medicine (UNMC/NM) authors during 2014. First, we compared Scopus affiliation identifier search results to PubMed affiliation keyword search results. Then, we searched Scopus using affiliation keywords (UNMC, etc.) and compared the results to PubMed affiliation keyword and Scopus affiliation identifier searches. We found that Scopus's records for approximately 7% of UNMC/NM authors' publications lacked appropriate UNMC/NM author affiliation identifiers, and many journals' publishers were supplying incomplete author affiliation information to PubMed. Institutions relying on Scopus to track their impact should determine whether Scopus's affiliation identifiers will, in fact, identify all articles published by their authors and investigators.

Med politiet i ’virkeligheden’: Reality-tv og kriminalitet

Directory of Open Access Journals (Sweden)

Ib Bondebjerg

2002-09-01

Full Text Available Kriminalstoffet på tv bliver ofte anklaget for at spekulere i vore lavere instinkter, og med reality kommer vi tættere end nogensinde på sam- fundets bund og det utrættelige politi, som har til opgave at opretholde lov og orden. Artiklen gennemgår en lang række af de senere års kri- minalprogrammer og diskuterer dokumentarismens former med en særlig belysning af æstetik, retorik og synsvinkel i undergenrerne »reality magasin« og »reality soap«. Lars Engels’ serie »Historier fra en politistation« tages op til særlig debat, fordi Engels – vanen tro – arbejder med en mindre iscenesættelse og ukommenteret virkelig- hedsgengivelse, end vi finder det i andre »reality soaps«.

Planning and scheduling algorithms for the COSMO-SkyMed constellation

NARCIS (Netherlands)

Bianchessi, Nicola; Righini, Giovanni

2008-01-01

The COSMO-SkyMed satellite constellation for the observation of the Earth is made of four satellites equipped with radar instruments and is intended for dual use, i.e. for security as well as for environmental monitoring purpose. The planning and scheduling problem for the COSMO-SkyMed constellation

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/.

Vejbygning i områder med permafrost

DEFF Research Database (Denmark)

Jørgensen, Anders Stuhr

2009-01-01

Siden begyndelsen af 1990’erne er der registreret en markant stigning i den årlige middeltemperatur i Nunavik, Québec Canada. Dette har ført til en reduktion i udbredelsen af permafrost, hvilket truer stabiliteten af lufthavne og veje i området. I sommeren 2007 blev en teststrækning opført i...... Tasiujaq Lufthavn for at studere effekten af tre forskellige metoder, som skal være med til at reducere optøningen af permafrost under landingsbanen. De tre metoder, som er blevet undersøgt, er konvektionskøling (air convection embankment), varmeudtrækning (heat drain) samt et forsøg med ændring af...

Grønnere skibsfart med modstandsdygtige motorer

DEFF Research Database (Denmark)

Lassen, Lisbeth

2015-01-01

Udledningen af forurening fra skibsmotorer skal sænkes kraftigt i de kommende år, og derfor står den maritime industri overfor helt nye krav til blandt andet hvilke brændstoffer, man kan bruge. På grund af de nye regler, der begrænser skibenes energiforbrug, er man også begyndt at sejle med nedsa...... foregår i samarbejde med DTU Kemiteknik og MAN Diesel & Turbo....... hastighed. Både de nye brændstoftyper og den nedsatte hastighed giver problemer for skibsmotorerne, problemer som projektet SULCOR, Sulfuric Acid corrosion in Large Marine Diesel Engines, netop har modtaget 16 millioner kr. fra Innovationsfonden til at begynde at løse. Projektet ledes af DTU Mekanik og...

Projekt Frit Sind hjælper mennesker med social angst

DEFF Research Database (Denmark)

Moutamid, Mina El

2017-01-01

Social angst er en almindelig, men overset lidelse, som ofte er forbundet med isolation. Mange fortæller ikke om den angst, de oplever, til andre og kommer til at leve et liv med begrænsninger, som de kunne være foruden, hvis de fik hjælp. Angsten betyder også, at det kan være svært at komme...... hjemmefra og opsøge hjælp hos SIND eller andre rådgivninger. Frit Sind er et nyt tilbud i København til disse mennesker og har fokus på de specifikke behov, mennesker med social angst har....

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.

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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

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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

Et eller andet med sprog

DEFF Research Database (Denmark)

Adamsen, Billy; Nielsen, Charlotte Marie Bisgaard; Dam Christensen, Mie

2012-01-01

bedre sted, intet mindre. - Jeg frygter at de kommer til at kede sig på et reklamebureau med fx at lave kampagner og drikke champagne. Så jeg prøver at tale dem fra det. De skal finde ud af, hvem de er og hvad de gerne vil bruge deres liv på. Rådgiver for statsministeren Billy Adamsen har en phd i...

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...

A synergetic hybridization of adsorption cycle with the multi-effect distillation (MED)

KAUST Repository

Thu, K.

2014-01-01

Multi-effect distillation (MED) systems are proven and energy efficient thermally-driven desalination systems for handling harsh seawater feed in the Gulf region. The high cycle efficiency is markedly achieved by latent energy re-use with minimal stage temperature-difference across the condensing steam and the evaporating saline seawater in each stage. The efficacies of MED system are (i) its low stage-temperature-difference between top brine temperature (TBT) and final condensing temperature, (ii) its robustness to varying salinity and ability to handle harmful algae Blooming (HABs) and (iii) its compact foot-print per unit water output. The practical TBT of MED systems, hitherto, is around 65 C for controllable scaling and fouling with the ambient-limited final condenser temperature, usually from 30 to 45 C. The adsorption (ADC) cycles utilize low-temperature heat sources (typically below 90 C) to produce useful cooling power and potable water. Hybridizing MED with AD cycles, they synergistically improve the water production rates at the same energy input whilst the AD cycle is driven by the recovered waste heat. We present a practical AD + MED combination that can be retrofitted to existing MEDs: The cooling energy of AD cycle through the water vapor uptake by the adsorbent is recycled internally, providing lower temperature condensing environment in the effects whilst the final condensing temperature of MED is as low as 5-10 C, which is below ambient. The increase in the temperature difference between TBT and final condensing temperature accommodates additional MED stages. A detailed numerical model is presented to capture the transient behaviors of heat and mass interactions in the combined AD + MED cycles and the results are presented in terms of key variables. It is observed that the water production rates of the combined cycle increase to give a GOR of 8.8 from an initial value of 5.9. © 2013 Elsevier Ltd. All rights reserved.

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

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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 

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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 ? »

Directory of Open Access Journals (Sweden)

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...

MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain.

Science.gov (United States)

Fan, Kai; Wang, Shangyang; Ren, Yanhui; Li, Hui; Yang, Yintang

2018-06-21

With the development of electronic information technology, electronic medical records (EMRs) have been a common way to store the patients' data in hospitals. They are stored in different hospitals' databases, even for the same patient. Therefore, it is difficult to construct a summarized EMR for one patient from multiple hospital databases due to the security and privacy concerns. Meanwhile, current EMRs systems lack a standard data management and sharing policy, making it difficult for pharmaceutical scientists to develop precise medicines based on data obtained under different policies. To solve the above problems, we proposed a blockchain-based information management system, MedBlock, to handle patients' information. In this scheme, the distributed ledger of MedBlock allows the efficient EMRs access and EMRs retrieval. The improved consensus mechanism achieves consensus of EMRs without large energy consumption and network congestion. In addition, MedBlock also exhibits high information security combining the customized access control protocols and symmetric cryptography. MedBlock can play an important role in the sensitive medical information sharing.