nils-herrmann/clean_scirepeval huggingface dataset:
Medecines thermales et douleurs des lombalgies chroniques, gonarthrose ou fibromyalgie

RESUME L'examen de trente trois essais cliniques avec comparateur et tirage au sort suggerent que les douleurs chroniques de l'arthrose du genou, des lombalgiques chroniques, de la fibromyalgie sont ameliorees de maniere appreciable par les cures thermales l'amelioration est globalement superieure a celle des groupes temoins. Globalement la cure thermale est bien toleree. Compares a des soins homologues non thermo mineraux, les soins thermaux font preuve d'une plus grande efficacite analgesique. Les etudes manquent le plus souvent de puissance statistique en particulier en raison d'un nombre de sujets insuffisant les durees d'observation des patients ne sont pas toujours suffisantes et les protocoles de traitement divers. Une analyse scientifique plus approfondie (meta analyse) est pertinente. Mais, la poursuite des investigations cliniques est necessaire pour affiner ces donnees.
Lomitapide for the treatment of hypertriglyceridemia
Venue: Expert opinion on investigational drugs

Severe genetic forms of hypertriglyceridemia carry a risk of life threatening pancreatitis and lack available effective treatments. Lomitapide is a microsomal triglyceride transfer protein inhibitor currently approved for treatment of homozygous familial hypercholesterolemia that may be useful in the management of severe hypertriglyceridemia.   Lomitapide demonstrates effective triglyceride lowering and may be a useful treatment for patients with genetic hypertriglyceridemia and recurrent acute pancreatitis who are refractory to traditional treatment. However, long term hepatic safety may be a concern and direct clinical trial level data are lacking for this indication.
Combined hyperlipidemia: familial but not (usually) monogenic
Venue: Current opinion in lipidology

Combined hyperlipidemia (CHL) is a complex phenotype that is commonly encountered clinically and is often associated with the expression of early heart disease. The affixed adjective 'familial' gives the impression that the trait is monogenic, like familial hypercholesterolemia. But despite significant efforts, genetic studies have yielded little evidence of single gene determinants of CHL. Recent findings Sophisticated linkage studies suggest that individual lipid components of the CHL phenotype such as elevated LDL and triglyceride each have several determinants that segregate independently in families. Furthermore, DNA sequencing shows that rare large effect variants in genes such as LDL receptor (LDLR) and lipoprotein lipase are found in some CHL patients, explaining the elevated LDL cholesterol and triglyceride components, respectively. In addition, multiple common small effect lipid altering variants accumulate in an individual's genome, raising the LDL cholesterol and/or triglyceride components by multiple mechanisms. Finally, secondary factors, such as poor diet, obesity,fatty liver or diabetes further modulate the expression of the biochemically defined CHL phenotype.  Given the current state of genetic understanding, CHL may be best conceptualized as a syndrome with common clinical presentation but multigenic causes, similar to other common conditions such as type 2 diabetes.
Genetic Confirmation Rate in Clinically Suspected Maturity Onset Diabetes of the Young.
Venue: Canadian journal of diabetes

Maturity onset diabetes of the young (MODY) is the most common form of monogenic diabetes, reportedly accounting for 2% to 5% of all cases of diabetes. In samples from Canadian patients referred for molecular genetic confirmation of a clinically suspected MODY, we determined the prevalence of likely disease causing DNA variants in known MODY genes.  Between 1999 and 2015, our centre received requests from colleagues for DNA sequencing of 96 samples from unrelated Canadian patients with clinically suspected MODY. Prior to 2012, we used Sanger sequencing, and since 2012 we have used targeted next generation sequencing.  Of 96 samples received, 39 (40.6% had a likely rare causal variant in 1 of 8 known MODY genes. Of these, 20 (51.3% and 19 (48.7% were diagnosed by Sanger and targeted next generation sequencing, respectively. The 39 mutation positive samples had 1 of 39 rare variants, of which the majority were in genes encoding either glucokinase (GCK, or MODY2) or hepatocyte nuclear factor 1 alpha (HNF1A, or MODY3) Furthermore, 12 (30.8% of the detected rare variants had been unreported previously but were likely to have been clinically significant according to standard bioinformatic methods. An additional 6 samples had rare variants in MODY genes that were of uncertain clinical significance.  The findings suggest that clinical suspicion for MODY has a diagnostic yield of ~40% at the molecular level. Confirmatory genetic testing in patients suspected to have MODY allows for definitive diagnoses which, in turn, may guide management and provide rationales for screening other family members presymptomatically.
THE RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND WILLINGNESS TO COMMUNICATE AMONG IRANIAN INTERMEDIATE EFL LEARNERS

This study aimed to find out whether there is any meaningful relationship between Emotional Intelligence and Willingness to Communicate. 60 intermediate female and male foreign language learners were selected among 100 participants from different Iranian English language centers. The data for this study was collected by means of two types of questionnaires: Bar On's (1997) Emotional Quotient Inventory (EQ i) and McIntyre, Baker, Clement, and Conrod's (2001) Willingness to Communicate (WTC) questionnaire. The questionnaires were correlated using Pearson product moment Correlation to find any meaningful relationship between the two constructs. The results revealed a significant relationship between EQ and WTC outside of the classroom. Regarding language learning contexts, it can help language teachers and educators to get more familiar with their students' preferences and emotions as communication is an indispensable part of learning a foreign language.
Mastering Natural Language Processing with Python

Maximize your NLP capabilities while creating amazing NLP projects in Python About This BookLearn to implement various NLP tasks in PythonGain insights into the current and budding research topics of NLP This is a comprehensive step by step guide to help students and researchers create their own projects based on real life applications Who This Book Is For This book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python.  Will Learn Implement string matching algorithms and normalization techniques Implement statistical language modeling techniques Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approachFamiliarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm Develop an NER based system and understand and apply the concepts of sentiment analysis Understand and implement the concepts of Information Retrieval and text summarizationDevelop a Discourse Analysis System and Anaphora Resolution based systemIn Detail Natural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK. You will sequentially be guided through applying machine learning tools to develop various models. We'll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution. Style and approach This is an easy to follow guide, full of hands on examples of real world tasks. Each topic is explained and placed in context, and for the more inquisitive, there are more details of the concepts used.
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network
Venue: EMNLP

We investigate mutual benefits between syntax and semantic roles using neural network models, by studying a parsing SRL pipeline, a SRL parsing pipeline, and a simple joint model by embedding sharing. The integration of syntactic and semantic features gives promising results in a Chinese Semantic Treebank, demonstrating large potentials of neural models for joint parsing and semantic role labeling.
Investigating social and semantic user roles in MOOC discussion forums
Venue: LAK

This paper describes the analysis of the social and semantic structure of discussion forums in massive open online courses (MOOCs) in terms of information exchange and user roles. To that end, we analyse a network of forum users based on information giving relations extracted from the forum data. Connection patterns that appear in the information exchange network of forum users are used to define specific user roles in a social context. Semantic roles are derived by identifying thematic areas in which an actor seeks for information (problem areas) and the areas of interest in which an actor provides information to others (expertise) The interplay of social and semantic roles is analysed using a socio semantic blockmodelling approach. The results show that social and semantic roles are not strongly interdependent. This indicates that communication patterns and interests of users develop simultaneously only to a moderate extent. In addition to the case study, the methodological contribution is in combining traditional blockmodelling with semantic information to characterise participant roles.
Energy efficient fuzzy logic cluster head selection in wireless sensor networks
Venue: 2016 International Conference on Information Technology for Organizations Development (IT4OD)

WSNs are characterized by limited energy constraints. This characteristic poses considerable challenge on design of routing protocols. Therefore, many designers and researchers focus on architectures and algorithms that allow energy efficient operation of WSNs. One of the popular algorithms in this regard is clustering algorithm. Thus, there are many routing protocols based on clustering algorithm has been proposed for WSNs, the functionality of these protocols is divided into cluster heads (CHs) selection and cluster formation. However, CHs selection is one of the very important problems in routing protocols applications and can drastically impact the network lifespan thereby energy conservation task for WSNs. In this paper, we propose a new routing approach called Energy efficient fuzzy logic cluster head (EEFL CH) it is an improvement of LEACH protocol. The goal of this approach is to decrease energy consumption in terms of network lifetime extension using three fuzzy parameters. These parameters are residual energy, expected efficiency, and closeness to base station. Simulation results show that EEFL CH approach has the better result as compared with LEACH and LEACH ERE routing protocols.
PL SVO: Semi direct Monocular Visual Odometry by combining points and line segments
Venue: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Most approaches to visual odometry estimates the camera motion based on point features, consequently, their performance deteriorates in low textured scenes where it is difficult to find a reliable set of them. This paper extends a popular semi direct approach to monocular visual odometry known as SVO  to work with line segments, hence obtaining a more robust system capable of dealing with both textured and structured environments. The proposed odometry system allows for the fast tracking of line segments since it eliminates the necessity of continuously extracting and matching features between subsequent frames. The method, of course, has a higher computational burden than the original SVO, but it still runs with frequencies of 60Hz on a personal computer while performing robustly in a wider variety of scenarios.
Research In Psychology Methods And Design

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Exploring global surface temperature pattern scaling methodologies and assumptions from a CMIP5 model ensemble

Pattern scaling is used to explore the uncertainty in future forcing scenarios. Of the possible techniques used for pattern scaling, the two most prominent are the delta and least squared regression methods. Both methods assume that local climate changes scale with globally averaged temperature increase, allowing for spatial patterns to be generated for multiple models for any future emission scenario. We explore this assumption by using different time periods and scenarios, and examine the differences and the statistical significance between patterns generated by each method. Regardless of epoch chosen, the relationship between globally averaged temperature increase and local temperature are similar. Temperature patterns generated by the linear regression method show a better fit to global mean temperature change than the delta method. Differences in pat terns between methods and epochs are largest in high latitudes (60 90 degrees N/S) Error terms in the least squared regression method are higher in lower forcing scenarios, and global mean temperature sensitivity is higher. These patterns will be used to examine feedbacks and uncertainty in the climate system.
Effects of excessive equatorial cold tongue bias on the projections of tropical Pacific climate change. Part I: the warming pattern in CMIP5 multi model ensemble
Venue: Climate Dynamics

The excessive cold tongue error in the equatorial Pacific has persisted in several generations of climate models. Based on the historical simulations and Representative Concentration Pathway (RCP) 8.5 experiments in the Coupled Model Intercomparison Project phase 5 (CMIP5) multi model ensemble (MME) this study finds that models with an excessive westward extension of cold tongue and insufficient equatorial western Pacific precipitation tend to project a weaker east minus west gradient of sea surface temperature (SST) warming along the equatorial Pacific under increased greenhouse gas (GHG) forcing. This La Nina like error of tropical Pacific SST warming is consistent with our understanding of negative SST convective feedback over the western Pacific warm pool. Based on this relationship between the present simulations and future projections, the present study applies an "observational constraint" of equatorial western Pacific precipitation to calibrate the projections of tropical Pacific climate change. After the corrections, CMIP5 models robustly project an El Nino like warming pattern, with a MME mean increase by a factor of 2.3 in east minus west gradient of equatorial Pacific SST warming and reduced inter model uncertainty. Corrections in projected changes in tropical precipitation and atmospheric circulation are physically consistent. This study suggests that a realistic cold tongue simulation would lead to a more reliable tropical Pacific climate projection.
Projecoes de Mudancas Climaticas sobre o Nordeste Brasileiro dos Modelos do CMIP5 e do CORDEX

This work addresses the performance and projections of climate simulations from CMIP5 global models and CORDEX regional climate models over Northeast Brazil (NEB) For this study, NEB climate was characterized by the following variables: near surface air temperature (TAS) precipitation (PR) potential evapotranspiration (ETo) and aridity index (IA) In verification methodology of the models we utilized statistical metrics such as mean square error, statistical bias, Pearson correlation and concordance index. In general, the ensemble mean of the simulations (M) produces a significant representation of NEB recent (1985 2005) climate. The projections of M for scenarios of future emissions of greenhouse gases, RCP4.5 and RCP8.5, show generalized increase in the temperature, with 2079 2099 (long term) temperature anomalies over NEB ranging between 2.1 degC (RCP4.5) and 4 degC (RCP8.5) The ETo rates are more likely to increase during the 21st century, with the RCP8.5 long term mean 15% higher than reference values for recent climate. Projection of precipitation is inconclusive due to significant spread among the individual simulations, with M indicating a anomaly of 1.6% in RCP8.5 long term mean. Projected IA is reduced in most simulations of future climate, suggesting a greater chance of increased aridity over NEB during this century.
Discharge Fee Policy Analysis: A Computable General Equilibrium (CGE) Model of Water Resources and Water Environments

To alleviate increasingly serious water pollution and shortages in developing countries, various kinds of policies have been implemented by local governments. It is vital to quantify and evaluate the performance and potential economic impacts of these policies. This study develops a Computable General Equilibrium (CGE) model to simulate the regional economic and environmental effects of discharge fees. Firstly, water resources and water environment factors are separated from the input and output sources of the National Economic Production Department. Secondly, an extended Social Accounting Matrix (SAM) of Jiangsu province is developed to simulate various scenarios. By changing values of the discharge fees (increased by 50% 100% and 150% three scenarios are simulated to examine their influence on the overall economy and each industry. The simulation results show that an increased fee will have a negative impact on Gross Domestic Product (GDP) However, waste water may be effectively controlled. Also, this study demonstrates that along with the economic costs, the increase of the discharge fee will lead to the upgrading of industrial structures from a situation of heavy pollution to one of light pollution which is beneficial to the sustainable development of the economy and the protection of the environment.
Corrosion sous contrainte de l'Alliage 82 en vapeur d'eau hydrogenee a 400degC influence de la microstructure et du comportement mecanique sur l'amorcage

La Corrosion Sous Contrainte (CSC) est un des principaux modes de degradation des composants assembles par soudage dans Reacteurs a Eau Pressurisee (REP) Le retour d'experience de 2007 sur les soudures en alliage a base de nickel a presente 3 cas de fissuration par CSC sur l'Alliage 82 sur les 300 cas recenses dans le circuit primaire. L'objectif de cette etude est alors d'identifier des parametres microstructuraux et mecaniques a l'echelle de la microstructure impliques dans l'amorcage de fissures. Les caracterisations du materiau pour identifier ces parametres sont composees d'une part, d'analyses de la composition chimique et d'analyses EBSD (Electron Back Scattered Diffraction) pour la morphologie et les orientations cristallographiques des grains pour la microstructure et, d'autre part, de mesures experimentales de deformation en surface et de calculs numeriques de champs de contrainte autour des joints de grains par elements finis pour le comportement mecanique. La correlation de ces informations avec les sites d'amorcage de fissures de CSC obtenus avec les essais d'amorcage entrepris sur des eprouvettes U bend en milieu vapeur d'eau hydrogenee a 400degC, 188 bar a confirme la sensibilite de l'Alliage 82 en CSC avec une fissuration intergranulaire des joints de grains dont la particularite premiere est d'etre perpendiculaire a la sollicitation (mode I) Les autres parametres concernent celui de la chimie locale au niveau des joints de grains, de leur nature (generaux ou speciaux) et du chargement mecanique applique a ces derniers (contrainte et difference de deformation) Cette methodologie, applicable a d'autre materiau, a permis de mieux comprendre quels sont les parametres microscopiques sensibilisent la cohesion du joint de grains et a quels degre d'importance doivent il etre pris en compte dans le mecanisme d'amorcage de fissures de CSC.
PCAF acts as a gastric cancer suppressor through a novel PCAF p16 CDK4 axis.
Venue: American journal of cancer research

Gastric cancer (GC) is a leading cause of cancer related death worldwide and the pathogenesis of GC remains largely unknown. Here, we demonstrate a novel mechanism by which P300/CBP associating factor (PCAF) acts as a tumor suppressor in GC cells. We showed that both PCAF mRNA and protein were downregulated in GC cells, and that this downregulation correlated with poor survival. Meanwhile, the interaction between human anion exchanger 1 (AE1) and p16 is a key event in GC development. We found that PCAF inhibited GC growth by interacting with AE1 and p16 to promote ubiquitin mediated degradation of AE1 and p16 upregulation and translocation into the nucleus. Binding of nuclear p16 to CDK4 prevented the CDK4 Cyclin D1 interaction to inhibit GC proliferation. Furthermore, reduced PCAF levels in GC cells were associated with intracellular alkalinization and decreased immunity. Together these results suggest that PCAF acts as a GC suppressor through a novel PCAF p16 CDK4 axis. The downregulation of PCAF expression in GC cells that follows intracellular alkalinization and decreased immune response, indicates that GC therapies should focus on restoring PCAF levels.