nils-herrmann/clean_scirepeval huggingface dataset:
Adhesive capsulitis of the shoulder: review of pathophysiology and current clinical treatments
Venue: Shoulder elbow
Year: 2017

Adhesive shoulder capsulitis, or arthrofibrosis, describes a pathological process in which the body forms excessive scar tissue or adhesions across the glenohumeral joint, leading to pain, stiffness and dysfunction. It is a debilitating condition that can occur spontaneously (primary or idiopathic adhesive capsulitis) or following shoulder surgery or trauma (secondary adhesive capsulitis) Here, we review the pathophysiology of adhesive shoulder capsulitis, highlighting its clinical presentation, natural history, risk factors, pathoanatomy and pathogenesis. Both current non operative and operative treatments for adhesive capsulitis are described, and evidence based studies are presented in support for or against each corresponding treatment. Finally, the review also provides an update on the gene expression profile of adhesive capsulitis and how this new understanding can help facilitate development of novel pharmacological therapies.
Adjuvant chemotherapy in lobular carcinoma of the breast: a clinicopathological score identifies high risk patient with survival benefit
Venue: Breast Cancer Research and Treatment
Year: 2019

BackgroundInvasive lobular carcinomas (ILCs) represent approximately 10% of all breast cancers. Despite this high frequency, benefit of adjuvant chemotherapy (CT) is still unclear.MethodsOur objective was to investigate the impact of CT on survival in ILC. Patients were retrospectively identified from a cohort of 23,319 patients who underwent primary surgery in 15 French centers between 1990 and 2014. Only ILC, hormone positive, human epidermal growth factor 2 (HER2) negative patients who received adjuvant endocrine therapy (ET) were included. End points were disease free survival (DFS) and overall survival (OS) A propensity score for receiving CT, aiming to compensate for baseline characteristics, was used.ResultsOf a total of 2318 patients with ILC, 1485 patients (64% received ET alone and 823 (36% received ET CT. We observed a beneficial effect of addition of CT to ET on DFS and OS in multivariate Cox model (HR 0.61, 95% confidence interval, CI [0.41 0.90] p 0.01 and 0.52, 95% CI [0.31 0.87] p 0.01, respectively) This effect was even more pronounced when propensity score matching was used. Regarding subgroup analysis, low risk patients without CT did not have significant differences in DFS or OS compared to low risk patients with CT.ConclusionILC patients could derive significant DFS and OS benefits from CT, especially for high risk patients.
Efeito da ozonioterapia na cicatrizacao de feridas
Year: 2020

Nos ultimos anos, a prevalencia de feridas cronicas tem aumentado devido ao crescimento da expectativa de vida, ao aumento das doencas cronicas e das comorbidades. O fisioterapeuta desempenha um papel importante no processo de cicatrizacao destas feridas, atraves de recursos capazes de acelerar o reparo tecidual, em destaque i ozonioterapia. O ozonio age como agente terapeutico, proporcionando beneficios i restauracao tecidual, alem do efeito antimicrobiano, bactericida e fungicida.  Verificar o efeito da ozonioterapia na cicatrizacao de uma ferida cronica em um paciente com diabetes mellitus.  O participante foi submetido a uma avaliacao e a coleta de material microbiologico antes e apos o tratamento com ozonio. Foram realizadas 15 sessoes de ozonioterapia, que ocorreram tres vezes por semana com uma duracao de 10 minutos.  No presente estudo foi encontrada a bacteria multirresistente Pseudomonas aeruginosa e obteve se uma reducao de 99% de unidades formadoras de colonias e houve uma diminuicao de 45,5cm2 da lesao tecidual. Conclusao: O processo de cicatrizacao foi quantificado pela area total da lesao tratada e, neste aspecto, a ozonioterapia demonstrou um resultado positivo, acarretando a reducao da ferida. No entanto, o numero de amostra foi insuficiente para obter um resultado estatisticamente significativo.Palavras chave: ozonio, ferimentos e lesoes, cicatrizacao, Fisioterapia.
Outbreaks of Vector Borne and Zoonotic Diseases Are Associated With Changes in Forest Cover and Oil Palm Expansion at Global Scale
Year: 2020

Deforestation is a major cause of biodiversity loss with a negative impact of deforestation on human health. This study explores at global scale whether the loss and gain of forest cover and the rise of oil palm plantations can promote outbreaks of vector borne and zoonotic diseases. We examine the global trends between changes in forest cover in recent decades and epidemics of infectious diseases. We find that the increases in outbreaks of zoonotic and vector borne diseases from 1990 to 2016 are linked with deforestation, mostly in tropical countries, and with reforestation, mostly in temperate countries. We also find that outbreaks are associated with the increase in areas of palm oil plantations. Our study gives new support for a link between global deforestation and outbreaks of zoonotic and vector borne diseases but evidences that reforestation and plantations may also contribute to epidemics of infectious diseases. The results are discussed in light of the importance of forests for biodiversity, livelihoods and human health and the need to urgently build an international governance framework to ensure the preservation of forests and the ecosystem services they provide, including the regulation of diseases. We develop recommendations to scientists, public health officers and policymakers who should reconcile the need to preserve biodiversity while taking into account the health risks posed by lack or mismanagement of forests.  While deforestation is a major cause of biodiversity loss, few studies have investigated globally the impact of deforestation and land conversion to commercial plantations on human health. Our study gives new support for a link between global outbreaks of zoonotic and vector borne diseases and either global deforestation or reforestation and commercial plantations. We conclude that is time to build an international governance framework to ensure the preservation of forests and the ecosystem services they provide, including the regulation of disease transmission.
An attribute based signature scheme from lattice assumption
Venue: Wuhan University Journal of Natural Sciences
Year: 2015

Inspired by the framework of Boyen, in this paper, an attribute based signature (ABS) scheme from lattice assumption is proposed. In this attribute based signature scheme, an entity's attributes set corresponds to the concatenation of a lattice matrix with the sum of some random matrices, and the signature vector is generated by using the Preimage Sampling algorithm. Compared with current attribute based signature schemes, this scheme can resist quantum attacks and enjoy shorter public key, smaller signature size and higher efficiency.
Readiness for Organizational Change
Year: 2007

Using a systematic item development framework as a guide (i.e. item development, questionnaire administration, item reduction, scale evaluation, and replication) this article discusses the development and evaluation of an instrument that can be used to gauge readiness for organizational change at an individual level. In all, more than 900 organizational members from the public and private sector participated in the different phases of study, with the questionnaire being tested in two separate organizations. The results suggest that readiness for change is a multidimensional construct influenced by beliefs among employees that (a) they are capable of implementing a proposed change (i.e. change specific efficacy) (b) the proposed change is appropriate for the organization (i.e. appropriateness) (c) the leaders are committed to the proposed change (i.e. management support) and (d) the proposed change is beneficial to organizational members (i.e. personal valence)
Looping Kinds and Social Mechanisms
Year: 2012

Human behavior is not always independent of the ways in which humans are scientifically classified. That there are looping effects of human kinds has been used as an argument for the methodological separation of the natural and the human sciences and to justify social constructionist claims. We suggest that these arguments rely on false presuppositions and present a mechanisms based account of looping that provides a better way to understand the phenomenon and its theoretical and philosophical implications.
The Interaction of Emissions Trading and Renewable Energy Promotion
Year: 2008

Given the ambitious goal of the European Union to achieve CO2 emission reduction, support to renewable energies, and increased energy efficiency a portfolio of different policies is going to be implemented or is already in place in the member states. These instruments have at least partly overlapping objectives; thus, a high degree of interaction is to be expected. In this paper we analyze how the EU ETS and renewable support mechanisms influence one another. We apply a static open economy computable general equilibrium (CGE) model of Germany incorporating different conventional and renewable generation technologies. We find that in case of an ETS with a green certificate trading scheme or a feed in system the price for carbon drops to zero due to the high share of CO2 neutral renewable generation. Furthermore, the welfare reducing effect of an additional renewable support mechanism is rather low for both schemes.
Traceable Attribute Based Secure Data Sharing with Hidden Policies in Mobile Health Networks
Venue: Mob. Inf. Syst.
Year: 2020

The growing need to store, share, and manage medical and health records has resulted in electronic medical health sharing system (mHealth) which provides intelligent medical treatment for people. Attribute based encryption (ABE) is regarded as a new cryptology to enhance fine grained access control over encrypted sharing data in mHealth. However, some existing attribute based mHealth systems not only violate the one to many application characteristics of attribute based encryption mechanism but also destroy the anonymity of user. In this study, an efficient scheme is proposed to tackle the above defaults and offer two way anonymity of data owner and data user by introducing a pseudoidentity. The computation of hidden access policy is reduced by removing the bilinear pairing, whereas the interaction between cloud storage and data user is avoided to save bandwidth during trapdoor generation. We also consider the temporal factor of the uploaded information by introducing access validity. Security and performance analyses show that the proposed scheme is efficient without reducing security.
Data Mining: Practical Machine Learning Tools and Techniques, 3/E
Year: 2011

Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried and true techniques of today as well as methods at the leading edge of contemporary research. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects *Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks in an updated, interactive interface. Algorithms in toolkit cover: data pre processing, classification, regression, clustering, association rules, visualization
Pachinko allocation: DAG structured mixture models of topic correlations
Venue: ICML
Year: 2006

Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not capture correlations between topics. In this paper, we introduce the pachinko allocation model (PAM) which captures arbitrary, nested, and possibly sparse correlations between topics using a directed acyclic graph (DAG) The leaves of the DAG represent individual words in the vocabulary, while each interior node represents a correlation among its children, which may be words or other interior nodes (topics) PAM provides a flexible alternative to recent work by Blei and Lafferty (2006) which captures correlations only between pairs of topics. Using text data from newsgroups, historic NIPS proceedings and other research paper corpora, we show improved performance of PAM in document classification, likelihood of held out data, the ability to support finer grained topics, and topical keyword coherence.
Fraud Detection using Graph Topology and Temporal Spikes
Year: 2017

Fraud detection is facing more challenges when online fraudsters invest more resources, including purchasing large pools of fake user accounts and dedicated IPs, to make their attacks less obvious. Existing approaches such as average degree maximization in adjacency matrices or tensors, that aimed at finding the connections of maximum average degree density suffer from the bias of including more false positive nodes, resulting in lower accuracy and increased need for manual verification. Therefore, we propose HoloScope method to detect topology and spike suspiciousness simultaneously. A novel "contrast suspiciousness" is introduced for honoring contrast behaviors between fraudsters and normal users. In terms of graph topology, it allows us to more accurately detect fraudulent blocks, reducing the false positive nodes; In terms of temporal spikes, HoloScope takes into account the bursts caused by fraudsters' attacking, and the sudden drops due to the poor attractiveness of fake objects. In addition, we provide theoretical bounds for how much this increases the time cost needed for fraudsters to conduct adversarial attacks. Additionally, from the perspective of ratings, HoloScope incorporates the deviation of rating scores in order to catch fraudsters more accurately. Moreover, the HoloScope has a concise framework and sub quadratic time complexity, which make our algorithm reproducible and scalable. In the experiments, HoloScope achieved significant accuracy improvements on both synthetic and real data, compared with the state of the art baselines.
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Venue: ACL
Year: 2020

State of the art models in NLP are now predominantly based on deep neural networks that are opaque in terms of how they come to make predictions. This limitation has increased interest in designing more interpretable deep models for NLP that reveal the 'reasoning' behind model outputs. But work in this direction has been conducted on different datasets and tasks with correspondingly unique aims and metrics; this makes it difficult to track progress. We propose the Evaluating Rationales And Simple English Reasoning (ERASER a benchmark to advance research on interpretable models in NLP. This benchmark comprises multiple datasets and tasks for which human annotations of "rationales" (supporting evidence) have been collected. We propose several metrics that aim to capture how well the rationales provided by models align with human rationales, and also how faithful these rationales are (i.e. the degree to which provided rationales influenced the corresponding predictions) Our hope is that releasing this benchmark facilitates progress on designing more interpretable NLP systems. The benchmark, code, and documentation are available at
Peritraumatic reactions in relation to trauma exposure and symptoms of posttraumatic stress in high school students
Venue: European journal of psychotraumatology
Year: 2017

Exposure to traumatic events is clearly associated with a diversity of subsequent mental health problems, with posttraumatic stress disorder (PTSD) as the most prevalent disorder. Epidemiologically, trauma exposure rates are more prevalent than PTSD, indicating that most trauma victims do not develop PTSD. More knowledge is needed to understand the development of the different posttraumatic pathways including the significance of pretraumatic, peritraumatic and posttraumatic risk factors.  To study peritraumatic reactions in relation to trauma exposure and symptoms of posttraumatic stress and to enhance our understanding of peritraumatic reactions as mediators between trauma and later symptomatology.  The study was composed of a representative community sample of 5332 second year high school students (mean age 17.3 years) who completed the Juvenile Victimization Questionnaire (SAQ/JVQ) Trauma Symptom Checklist for Children (TSCC) and answered questions about peritraumatic reactions. Mediation effects of peritraumatic reactions on the trauma exposure relationship to symptoms was tested using the PROCESS macro for SPSS.  Traumatic events are common (84.1% and are accompanied in three quarters of the students with at least one form of peritraumatic reaction. Peritraumatic reactions, especially peritraumatic dissociative reactions, mediate the relationship between trauma exposure and symptoms, and gender moderates the effect of peritraumatic dissociation. This moderating effect was found to be larger for boys than for girls, indicating gender differences in response to trauma.  The results indicate the need to screen for peritraumatic reactions as early as possible after a traumatic event in order to identify those at risk for PTSD.
El sedentarismo y la actividad fisica en trabajadores administrativos del sector publico Sedentary lifestyle and physical activity in administrative public sector workers
Year: 2016

En el presente articulo se plantea como objetivo caracterizar el nivel de sedentarismo y actividad fisica, que realiza el personal administrativo de diferentes instituciones del sector publico de la ciudad de Milagro, Ecuador, considerando algunos espacios como el lugar de trabajo, forma de traslado y tiempo libre. Se trata de una investigacion de tipo descriptiva de corte transversal, con una muestra de 240 participantes, de los cuales el 48,5% son de sexo masculino (109) y 51,5% femenino (131) Como instrumento se utilizo el Global Physical Activity Questionnaire (GPAQ) elaborado por la Organizacion Mundial de la Salud, aplicado en la version corta en espanol 2002: Cuestionario Internacional de Actividad Fisica (IPAQ) que consta de 7 preguntas. Entre los principales resultados estan que mas del 54% del personal permanece sentado entre 7 y 12 horas diariamente. El 39% realiza una actividad moderada en su lugar de trabajo, el 8.8% actividad intensa y en su tiempo libre, el 67% de los participantes no realiza ningun deporte. Finalmente se concluye que al menos la mitad de los empleados administrativos de las empresas publicas en estudio, no realiza ninguna actividad que les permita disminuir el estado de sedentarismo. ABSTRACTThis study aims to characterize the level of sedentary behavior and physical activity, of the administrative staff of various Organism of public sector at the city of Milagro, Ecuador, considering some areas as: the workplace, way of transportation, and their spare time. This is a descriptive research cross section, with a sample of 240 participants, of which 48.5% are male (109) and 51.5% are female (131) The instrument that was used is the Global Physical Activity Questionnaire (GPAQ) prepared by the World Health Organization, implemented in the short Spanish version 2002: International Physical Activity Questionnaire (IPAQ) which consists of 7 questions. As main results are that more than 54% of staff remains seated between 7 and 12 hours daily. The 39% perform moderate activity in their workplace, 8.8% intense activity and in their spare time, 67% of participants did not perform any sport. Finally it was concluded that at least half of the administrative employees of public companies in the city of Milagro, do not perform any activity that allows them to reduce the state of inactivity.
Managing collaborative R&D projects development of a practical management tool
Year: 2006

In an environment of globalisation, intense competition and rising R&D costs, collaboration has become an essential means of sustaining technological growth. However, there are many difficulties inherent in managing projects across organisational boundaries. While research has identified a range of management "success" factors, little attention has been given to how such knowledge could be applied in the everyday context of a collaborative project. Based on case studies by the authors involving the automotive and aerospace industries, this paper reports on the development of a management tool designed to provide practical guidance on the effective management of collaborative R&D projects.
Suivi base sur un stock, recommandation de plats, notification de fraicheur d'aliments, et notification de consommation a partir d'un stock personnel d'aliments
Year: 2016

L'invention concerne un systeme de stock personnel d'aliments (PFIS) qui permet le stockage d'articles alimentaires dans un stock personnel associe a un compte d'utilisateur, ainsi que le suivi d'articles alimentaires consommes par le compte d'utilisateur. Le PFIS est lie a une application servant a la communication entre un utilisateur du compte et les articles du PFIS qui sont recus dans le stock personnel et des articles consommes ou retires d'une autre maniere du stock personnel. Le PFIS est lie a un ou plusieurs fournisseurs preferes pour une saisie facile d'articles dans le stock personnel. Le PFIS fournit egalement des recommandations de plats que l'utilisateur du compte peut preparer d'apres le stock personnel d'aliments et/ou un stock de fournisseur associe au fournisseur prefere. Le PFIS fournit en outre des notifications d'utilisateur relatives a des articles approchant de leur date de peremption. Le PFIS fournit egalement une notification a l'utilisateur du compte concernant l'utilisation du systeme de stock personnel d'aliments en suivant la consommation.