nils-herrmann/clean_scirepeval huggingface dataset:
TALN at SemEval 2016 Task 14: Semantic Taxonomy Enrichment Via Sense Based Embeddings
Venue: *SEMEVAL

This paper describes the participation of the TALN team in SemEval 2016  Semantic Taxonomy Enrichment. The purpose of the task is to find the best point of attachment in WordNet for a set of Out of Vocabulary (OOV) terms. These may come, to name a few, from domain specific glossaries, slang or typical jargon from Internet forums and chatrooms. Our contribution takes as input an OOV term, its part of speech and its associated definition, and generates a set of WordNet synset candidates derived from modelling the term's definition as a sense embedding representation. We leverage a BabelNet based vector space representation, which allows us to map the algorithm's prediction to WordNet. Our approach is designed to be generic and fitting to any domain, without exploiting, for instance, HTML markup in source web pages. Our system performs above the median of all submitted systems, and rivals in performance a powerful baseline based on extracting the first word of the definition with the same partof speech as the OOV term.
UMNDuluth at SemEval 2016 Task 14: WordNet's Missing Lemmas
Venue: *SEMEVAL

This paper presents a solution to Semeval 2016 Task 14 which asks for a system that is able to insert new lemmas into WordNet. Our system aims to do this by overlapping words in the definitions of the to be inserted lemma and all senses in WordNet. This paper includes the results of our system and also includes the baseline provided by Task 14, with our system scoring higher than the random baseline, and lower than the first word baseline.
TwiSE at SemEval 2016 Task 4: Twitter Sentiment Classification
Venue: *SEMEVAL

This paper describes the participation of the team "TwiSE" in the SemEval 2016 challenge. Specifically, we participated in Task 4, namely "Sentiment Analysis in Twitter" for which we implemented sentiment classification systems for subtasks A, B, C and D. Our approach consists of two steps. In the first step, we generate and validate diverse feature sets for twitter sentiment evaluation, inspired by the work of participants of previous editions of such challenges. In the second step, we focus on the optimization of the evaluation measures of the different subtasks. To this end, we examine different learning strategies by validating them on the data provided by the task organisers. For our final submissions we used an ensemble learning approach (stacked generalization) for Subtask A and single linear models for the rest of the subtasks. In the official leaderboard we were ranked 9/35, 8/19, 1/11 and 2/14 for subtasks A, B, C and D respectively.\footnote{We make the code available for research purposes at \url{this https URL\_Sentiment\_Evaluation}
SemEval 2016 Task 12: Clinical TempEval
Venue: NAACL 2016

2016 evaluated temporal information extraction systems on the clinical domain. Nine sub tasks were included, covering problems in time expression identification, event expression identification and temporal relation identification. Participant systems were trained and evaluated on a corpus of clinical and pathology notes from the Mayo Clinic, annotated with an extension of TimeML for the clinical domain. 14 teams submitted a total of 40 system runs, with the best systems achieving near human performance on identifying events and times. On identifying temporal relations, there was a gap between the best systems and human performance, but the gap was less than half the gap of Clinical TempEval 2015.
Une approche cognitive du role des societes de capital investissement dans la formation d'alliances

Cet article analyse le role de declencheur des societes de capital investissement dans la formation d'alliances pour leurs participations. Certaines etudes explorent ce role dans une perspective contractuelle, montrant le role du capital investissement pour reduire les inefficiences empechant la formation d'alliances. De facon complementaire et a la difference de cette litterature, nous recourons a l'approche cognitive pour etudier le role de ces societes dans la creation meme d'opportunites de croissance. L'analyse se fait au travers d'une etude de cas multiples comprenant huit exemples d'alliances formees a l'initiative de quatre societes de capital investissement francaises.
Energy efficient adaptive transmission power control for wireless body area networks
Venue: IET Commun.

An important constraint in wireless body area network (WBAN) is to maximise the energy efficiency of wearable devices due to their limited size and light weight. Two experimental scenarios; 'right wrist to right hip' and 'chest to right hip' with body posture of walking are considered. It is analyzed through extensive real time data sets that due to large temporal variations in the wireless channel, a constant transmission power and a typical conventional transmission power control (TPC) methods are not suitable choices for WBAN. To overcome these problems a novel energy efficient adaptive power control (APC) algorithm is proposed that adaptively adjusts transmission power (TP) level based on the feedback from base station. The main advantages of the proposed algorithm are saving more energy with acceptable packet loss ratio (PLR) and lower complexity in implementation of desired tradeoff between energy savings and link reliability. We adapt, optimise and theoretically analyse the required parameters to enhance the system performance. The proposed algorithm sequentially achieves significant higher energy savings of 40.9% which is demonstrated by Monte Carlo simulations in MATLAB. However, the only limitation of proposed algorithm is a slightly higher PLR in comparison to conventional TPC such as Gao's and Xiao's methods.
Deterioration modelling of contact surfaces for a friction drive system

This article presents a novel model of surface deterioration for a friction drive. For this basic transmission system, the difference between tangential speeds is linked with the production of contact force and at the same time with an energy transfer that deteriorates the contact surfaces. Thus, an optimal management between health state of components and use of energy resources is required. In a first step, the physics of the system is modeled in a deterministic way. Then, considering either random system parameters or random system inputs and usage, a complete stochastic model for the system deterioration is proposed. The developed model allows to link the deterioration evolution to the inputs and operating modes of the system; to assess the behavior of deterioration in critical stages, such as sharp motion and smooth motion. The advantages to design and to analyze such a model are finally discussed in terms of reliability adaptive systems
AREA EFFICIENT CORDIC FFT USING ERROR CORRECTION CODES AND PARSEVAL CHECKS FOR OFDM SYSTEMS

In the present Digital Communication systems, it is highly possible that the data or message get corrupted during transmission and reception through a noisy channel medium which leads to the injection of random bits into the original message and corrupt the original message. For some applications, an option is to use Algorithmic Based Fault Tolerance (ABFT) techniques that try to exploit the algorithmic properties to detect and correct errors. One example is Fast Fourier transforms (FFTs) that is used in spectral analysis in the communication for Time to Frequency transform in the receiver side. There are several protection schemes to detect and correct errors in FFTs. The Parseval or sum of square check is the most widely known. It is most common to find several blocks operating in parallel in the modern communication systems. Recently, a new technique called Fault tolerant parallel filters has been proposed. In this work same technique is first applied to protect Cordic based FFT and then the protection schemes that combine the use of Error Correction Codes and Parseval checks are proposed and the area reduction of 12% was observed. The Power, area and delay is analyzed in Cadence using 180 nm Technology for 8 pointprotected FFT with input 32 bit length. Simulation and Compilation report for FFT using ECC, SOS and ECC SOS are obtained in Modelsim Altera 6.4a and Quartus II 9.0.
Arbuscular mycorrhizal fungi affect plant community structure under various nutrient conditions and stabilize the community productivity

Soil biota could have a significant impact on plant productivity and diversity through benefiting plants and mediating plant plant interaction. However, it is poorly understood how soil biotic factors interaction with abiotic environments affect plant community diversity and composition. Here, we investigate the community level consequences of arbuscular mycorrhizal fungi (AMF) interactions with multiple nutrients and their ecological stoichiometry. We conducted a greenhouse experiment manipulating nitrogen (N) and phosphorus (P) to create soil nutrient availability and N:P gradients for microcosm communities with and without AMF. We found that AMF suppressed plant diversity at low P levels, whereas it did not alter the diversity at high P levels because of trade offs in the abundance of the dominant and subordinate species. AMF reduced plant diversity at the intermediate N:P ratios, while AMF did not affect the diversity at low and high N:P ratios. P addition decreased the mycorrhizal contribution to community productivity, whereas N addition reduced the negative effects of AMF on productivity at high P levels. AMF decreased community productivity at low N:P ratios but increased it at high N:P ratios. AMF increased the stoichiometric homoeostasis of plant communities, which was positively correlated with the stability of productivity under variations in soil N:P ratios. Our study demonstrates that both resource availability and stoichiometry influence the effect of AMF on plant community productivity and diversity and suggests that AMF may increase the stability of plant communities under variations in the soil nutrients by increasing the stoichiometric homoeostasis of the plant community.
The impact of cost, technology acceptance and employees' satisfaction on the effectiveness of the electronic customer relationship management systems
Venue: Comput. Hum. Behav.

Internet technology enables companies to capture new customers, track their performances and online behavior, and customize communications, products, services, and prices. Customer relationship management (CRM) is an important concept to maintain competitiveness at e commerce. The issue of electronic customer relationship management (E CRM) has increasingly become the identification of the success of the CRM implementation. The E CRM has emerged as one of the most prominent information system that enables organizations to contact customers and collect, store and analyze customer data in order to provide a comprehensive view of their customers. Organization can obtain competitive advantages from increase effectiveness of the E CRM. This research proposes determining the effective factors (cost, technology acceptance and employees' satisfaction) for the effectiveness of the E CRM. The structural equation modeling technique was used to evaluate the causal model and to examine the reliability and validity of the measurement model. The results of gathered data from 210 employees of the East Azerbaijan Tax Administration in iran is indicated that the impact of the technology acceptance on organization performance begins with infrastructure capability, ease of use, and E learning systems, and the complementarity between these factors positively influences the effectiveness of the E CRM. The results also indicated that the customer costs positively affects on the customer relationship performance, which consequently leads to improvements of the effectiveness of the E CRM in organization. Our findings show that each of cost, technology acceptance and satisfaction employee plays an important role toward in effectiveness of the E CRM. Determining the effective factors for the effectiveness of the E CRM systems.Evaluating the impact of cost, technology and employees' satisfaction on the E CRM systems.Exploring future challenges for the E CRM systems.
Sudden cardiac arrest in sports need for uniform registration: A Position Paper from the Sport Cardiology Section of the European Association for Cardiovascular Prevention and Rehabilitation
Venue: European journal of preventive cardiology

There are large variations in the incidence, registration methods and reported causes of sudden cardiac arrest/sudden cardiac death (SCA/SCD) in competitive and recreational athletes. A crucial question is to which degree these variations are genuine or partly due to methodological incongruities. This paper discusses the uncertainties about available data and provides comprehensive suggestions for standard definitions and a guide for uniform registration parameters of SCA/SCD. The parameters include a definition of what constitutes an 'athlete' incidence calculations, enrolment of cases, the importance of gender, ethnicity and age of the athlete, as well as the type and level of sporting activity. A precise instruction for autopsy practice in the case of a SCD of athletes is given, including the role of molecular samples and evaluation of possible doping. Rational decisions about cardiac preparticipation screening and cardiac safety at sport facilities requires increased data quality concerning incidence, aetiology and management of SCA/SCD in sports. Uniform standard registration of SCA/SCD in athletes and leisure sportsmen would be a first step towards this goal.
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Venue: ICML

With the growing importance of large network models and enormous training datasets, GPUs have become increasingly necessary to train neural networks. This is largely because conventional optimization algorithms rely on stochastic gradient methods that don't scale well to large numbers of cores in a cluster setting. Furthermore, the convergence of all gradient methods, including batch methods, suffers from common problems like saturation effects, poor conditioning, and saddle points. This paper explores an unconventional training method that uses alternating direction methods and Bregman iteration to train networks without gradient descent steps. The proposed method reduces the network training problem to a sequence of minimization substeps that can each be solved globally in closed form. The proposed method is advantageous because it avoids many of the caveats that make gradient methods slow on highly nonconvex problems. The method exhibits strong scaling in the distributed setting, yielding linear speedups even when split over thousands of cores.
A systematic review of the health related quality of life and economic burdens of anorexia nervosa, bulimia nervosa, and binge eating disorder
Venue: Eating and Weight Disorders Studies on Anorexia, Bulimia and Obesity

PurposeTo perform a systematic review of the health related quality of life (HRQoL) and economic burdens of anorexia nervosa (AN) bulimia nervosa (BN) and binge eating disorder (BED).MethodsA systematic literature search of English language studies was performed in Medline, Embase, PsycINFO, PsycARTICLES, Academic Search Complete, CINAHL Plus, Business Source Premier, and Cochrane Library. Cost data were converted to 2014 Euro.ResultsSixty nine studies were included. Data on HRQoL were reported in 41 studies (18 for AN, 17 for BN, and 18 for BED) on healthcare utilization in 20 studies (14 for AN, 12 for BN, and 8 for BED) and on healthcare costs in 17 studies (9 for AN, 11 for BN, and only 2 for BED) Patients' HRQoL was significantly worse with AN, BN, and BED compared with healthy populations. AN, BN, and BED were associated with a high rate of hospitalization, outpatient care, and emergency department visits. However, patients rarely received specific treatment for their eating disorder. The annual healthcare costs for AN, BN, and BED were EUR2993 to EUR55,270, EUR888 to EUR18,823, and EUR1762 to EUR2902, respectively.ConclusionsAN, BN, and BED have a serious impact on patient's HRQoL and are also associated with increased healthcare utilization and healthcare costs. The burden of BED should be examined separately from that of BN. The limited evidence suggests that further research is warranted to better understand the differences in long term HRQoL and economic burdens of AN, BN, and BED.
Altered structural and effective connectivity in anorexia and bulimia nervosa in circuits that regulate energy and reward homeostasis
Venue: Translational psychiatry

Anorexia and bulimia nervosa are severe eating disorders that share many behaviors. Structural and functional brain circuits could provide biological links that those disorders have in common. We recruited 77 young adult women, 26 healthy controls, 26 women with anorexia and 25 women with bulimia nervosa. Probabilistic tractography was used to map white matter connectivity strength across taste and food intake regulating brain circuits. An independent multisample greedy equivalence search algorithm tested effective connectivity between those regions during sucrose tasting. Anorexia and bulimia nervosa had greater structural connectivity in pathways between insula, orbitofrontal cortex and ventral striatum, but lower connectivity from orbitofrontal cortex and amygdala to the hypothalamus (P<0.05, corrected for comorbidity, medication and multiple comparisons) Functionally, in controls the hypothalamus drove ventral striatal activity, but in anorexia and bulimia nervosa effective connectivity was directed from anterior cingulate via ventral striatum to the hypothalamus. Across all groups, sweetness perception was predicted by connectivity strength in pathways connecting to the middle orbitofrontal cortex. This study provides evidence that white matter structural as well as effective connectivity within the energy homeostasis and food reward regulating circuitry is fundamentally different in anorexia and bulimia nervosa compared with that in controls. In eating disorders, anterior cingulate cognitive emotional top down control could affect food reward and eating drive, override hypothalamic inputs to the ventral striatum and enable prolonged food restriction.
Multimorbidity and mortality in older adults: A systematic review and meta analysis.
Venue: Archives of gerontology and geriatrics

To review literature and provide a pooled effect for the association between multimorbidity and mortality in older adults.  A systematic review was performed of articles held on the PUBMED database published up until January 2015. Studies which used different diseases and other conditions to define frailty, evaluated multimorbidity related only to mental health or which presented disease homogeneity were not included. A meta analysis using random effect to obtain a pooled effect of multimorbidity on mortality in older adults was conducted only with studies which reported hazard ratio (HR) Stratified analysis and univariate meta regression were performed to evaluate sources of heterogeneity.  Out of 5806 identified articles, 26 were included in meta analysis. Overall, positive association between multimorbidity and mortality [HR: 1.44 (95%CI: 1.34; 1.55) was detected. The number of morbidities was positively related to risk of death [HR: 1.20 (95%CI: 1.10; 1.30) Compared to individuals without multimorbidity, the risk of death was 1.73 (95%CI: 1.41; 2.13) and 2.72 (95%CI: 1.81; 4.08) for people with 2 or more and 3 or more morbidities, respectively. Heterogeneity between studies was high (96.5% The sample, adjustment and follow up modified the associations. Only nine estimates performed adjustment which included demographic, socioeconomic and behaviour variables. Disabilities appear to mediate the effect of multimorbidity on mortality.  Multimorbidity was associated with an increase in risk of death. Multimorbidity measurement standardization is needed to produce more comparable estimates. Adjusted analysis which includes potential confounders might contribute to better understanding of causal relationships between multimorbidity and mortality.
Parasitic Infestation of the Appendix Masquerading as Acute Appendicitis

To evaluate the prevalence of parasitic infection in surgically removed appendices and investigate the role of parasitic infestation in the etiology of acute appendicitis. Enterobiusvermicularis is considered the most common helminth worldwide. Interestingly, the presence of parasite in the appendix may cause appendiceal colic even without eliciting an acute inflammatory reaction. The definitive diagnosis of parasitic infestation is generally achieved only after the histopathological examination of the resected appendix specimens.  A retrospective study over a span of 3 years included 593 pediatric and adolescent patients who underwent surgery for a diagnosis of acute appendicitis between January 2013 to December 2015. Microscopic slides of specimens which were histopathologically diagnosed to contain parasites were retrieved from the archives and reviewed for features of acute inflammation and parasite type. Patients were divided into 2 groups according to the presence or absence of the appendicitis.  Total 593 appendectomies were performed in the PIMS hospital, of these 62(10.45% were found to contain parasite on histopathology.This includes 24(38.71% male and 38(61.29% female patients. It was observed that 51 (82.25% appendectomies were for acute appendicitis; however histopathological examination proved only worm infestation.  Worm infestation without appendicitis is more frequent in children (64.52% than adults (35.48% Low prevalence of parasites among the appendectomy specimens did not support the notion that parasites were the major cause of appendicitis in children. Parasites rarely cause appendicitis but its symptoms resemble appendicitis. If we de worm the children at school level on a regular basis we might prevent many future unnecessary appendectomies.