nils-herrmann/clean_scirepeval huggingface dataset:
Computer Vision for Egocentric (First Person) Vision
Year: 2018

Egocentric (first person) vision is a relatively new research topic in the field of computer vision that is increasingly attracting the interest of the community. It entails analyzing images and videos captured by a wearable camera, which is typically mounted on the chest or head, and provides a first person view of the world. This human centric perspective is naturally suited to gathering visual information about everyday observations and interactions, which in turn can reveal the attention, behavior, and goals of its wearer. By taking advantage of the first person point of view paradigm, the visual understanding of egocentric images and videos is rapidly advancing. This chapter focuses on those aspects of egocentric vision that can be directly exploited to develop platforms for ubiquitous context aware personal assistance and health monitoring, also highlighting potential applications and further research opportunities in the context of assistive technologies.
Linguistic data mining with complex networks: a stylometric oriented approach
Venue: Inf. Sci.
Year: 2019

By representing a text by a set of words and their co occurrences, one obtains a word adjacency network being a reduced representation of a given language sample. In this paper, the possibility of using network representation to extract information about individual language styles of literary texts is studied. By determining selected quantitative characteristics of the networks and applying machine learning algorithms, it is possible to distinguish between texts of different authors. Within the studied set of texts, English and Polish, a properly rescaled weighted clustering coefficients and weighted degrees of only a few nodes in the word adjacency networks are sufficient to obtain the authorship attribution accuracy over 90% A correspondence between the text authorship and the word adjacency network structure can therefore be found. The network representation allows to distinguish individual language styles by comparing the way the authors use particular words and punctuation marks. The presented approach can be viewed as a generalization of the authorship attribution methods based on simple lexical features. Additionally, other network parameters are studied, both local and global ones, for both the unweighted and weighted networks. Their potential to capture the writing style diversity is discussed; some differences between languages are observed.
Narrative Exposure Therapy Intervention and Management of Memory Intrusion Symptoms of Traumatic Stress among Young People in Kakuma Division, Turkana County of Kenya
Year: 2020

Kakuma refugee camp is currently the home of 196,666 people who fled from their various countries due to civil war and organized violence. Young people form 20% of this population. These young people live with constant reminders of negative memories of their traumatic experience. Against this background, this study sought to assess the young people's traumatic stress with the use of post traumatic stress disorder checklist for DSM 5 (PCL 5) tool. The study adopted narrative exposure therapy framework and intervention for traumatic stress management. The study used quasi experimental research design whereby the researcher adopted a non equivalent groups design. This design involved one treatment group and one control group. The study sampled 110 participants through multistage cluster and proportionate sampling. Descriptive and inferential statistics were used to analyse the data with the aid of statistical programme for social sciences (SPSS) version 23. Independent sample t test was used to list the statistical significant differences between the means in the pre test and post test scores for the groups. The researcher established that Narrative exposure therapy intervention was effective in management of memory intrusion symptoms of traumatic stress among young people in Kakuma division, Turkana County of Kenya.
The age of sustainable development
Year: 2016

only to its more obvious demands for water in cooling and electricity generation, but also its many uses in fuel extraction and purification and their accompanying pollution hazards. There are no easy answers. After that the two basic topics combine Energy for Water with pumping and purification needs prominent followed by Constraints, notably the extent to which natural heat and cold may impede water quality, even availability, for particularly purposes; and Trends the impacts of population increase and climatic change. In his eighth chapter Webber turns to Technical Solutions. One should perhaps read it more in hope than expectation, not least because cost now also enters seriously into the debate. Webber's basic premise is that less water more energy, and vice versa, so that any solution is likely to depend on whether a particular country has more or less of either. But even with ample energy, solutions such as desalination are only won at substantial cost. Anaerobic digesters of waste materials containing organic substances feature as sources of improved water quality, methane and fertiliser. But they are usually only realistic where large volumes of waste must be handled. And while some sewage treatment plants (e.g. in London) have long fruitfully also burned the resulting methane to generate their energy needs, many apparently still vent it a serious greenhouse gas to atmosphere. The final chapter turns to Non Technical Solutions in fact more a wish list of research and development projects, as the author sees it, than a catalogue of actual answers. Much of it focuses on the potential for water and energy economies presented by natural temporal, seasonal and climatic fluctuations in demand. But advantage of these can usually only be secured from consumers by differential metering and pricing. And that takes us straight back into the preceding province of technical solutions and their problems. Webber gives one cautionary example from his own home base in Austin, Texas. The city spent $50 million on installing smart meters. It then discovered that it would have to spend another $50 million putting in place technology capable of handling their data. This book makes for an interesting read. But one wishes it was likely to be critically read by all who imagine we do not face intractable energy and water supply problems, or that there are any miracle answers.
Leveraging Social Media to Explore Black Women's Perspectives on HIV Pre exposure Prophylaxis
Venue: The Journal of the Association of Nurses in AIDS Care JANAC
Year: 2018

Bianca S. Hill, MPH, is a medical student, Meharry Medical College, Nashville, Tennessee, USA. Viraj V. Patel, MD, MPH, is an Assistant Professor of Medicine, Division of General Internal Medicine, Montefiore Medical Center/ Albert Einstein College of Medicine, Bronx, New York, USA. Lorlette J. Haughton, MPH, is a research study coordinator, Division of General Internal Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York, USA. Oni J. Blackstock, MD, MHS, is an Assistant Professor of Medicine, Division of General Internal Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York, USA. Correspondence to: oblackst@montefiore.org)
The relationship between 8th grade secondary school students' motivational strategies, attitudes and academic achievements concerning English learning
Year: 2018

The purpose of this study is to investigate the relationships among 8th grade secondary school students' self regulated strategies, motivational beliefs, attitudes towards English course and English academic achievement. In this study, correlational survey method was used. The 949 8th grade secondary school students determined by stratified sampling method formed the sample of the study. In this study, "Motivated Strategies for Learning Questionnaire" and "Attitude Scale for English Course" were used as data collection tools. In this study, Pearson Product Moment Correlation Coefficient and stepwise regression analysis were used for data analysis. As a result of the study, it was found that there is a moderate, positive and significant relationship between students' TEOG English achievement and self regulation, cognitive strategy, self efficacy, intrinsic value and attitudes towards English course; and there is a low, positive and significant relationship between students' TEOG English achievement and students' test anxiety. It was found that students' intrinsic goal orientation, self efficacy perceptions and attitudes towards English course predict 43.9% of the variance in students' self regulated strategies, while test anxiety does not significantly predict self regulated strategies. It was found that the students' self regulated strategies (self regulation, cognitive strategies) motivational beliefs (self efficacy, test anxiety, intrinsic value) and attitudes towards English course can predict 55.2% of the variance of their English academic achievement. In this respect, it may be suggested that teachers and students to be trained on motivational strategies through various training activities and seminars.
Exploring Strategies for Training Deep Neural Networks
Venue: J. Mach. Learn. Res.
Year: 2009

Deep multi layer neural networks have many levels of non linearities allowing them to compactly represent highly non linear and highly varying functions. However, until recently it was not clear how to train such deep networks, since gradient based optimization starting from random initialization often appears to get stuck in poor solutions. Hinton et al. recently proposed a greedy layer wise unsupervised learning procedure relying on the training algorithm of restricted Boltzmann machines (RBM) to initialize the parameters of a deep belief network (DBN) a generative model with many layers of hidden causal variables. This was followed by the proposal of another greedy layer wise procedure, relying on the usage of autoassociator networks. In the context of the above optimization problem, we study these algorithms empirically to better understand their success. Our experiments confirm the hypothesis that the greedy layer wise unsupervised training strategy helps the optimization by initializing weights in a region near a good local minimum, but also implicitly acts as a sort of regularization that brings better generalization and encourages internal distributed representations that are high level abstractions of the input. We also present a series of experiments aimed at evaluating the link between the performance of deep neural networks and practical aspects of their topology, for example, demonstrating cases where the addition of more depth helps. Finally, we empirically explore simple variants of these training algorithms, such as the use of different RBM input unit distributions, a simple way of combining gradient estimators to improve performance, as well as on line versions of those algorithms.
Incremental learning for online tool condition monitoring using Ellipsoid ARTMAP network model
Venue: Appl. Soft Comput.
Year: 2015

EAM based incremental learning algorithm is presented.FCBF is adopted to select the minimum redundant features adaptively.EAM gets higher accuracy rate than FAM.EAM can learn new data incrementally without forgetting the original knowledge. In this paper, an Ellipsoid ARTMAP (EAM) network model based on incremental learning algorithm is proposed to realize online learning and tool condition monitoring. The main characteristic of EAM model is that hyper ellipsoid is used for geometric representation of categories which can depict the sample distribution robustly and accurately. Meanwhile, adaptive resonance based strategy can realize the update of the hyper ellipsoid node locally and monotonically. Therefore, the model has strong incremental learning ability, which guarantees the constructed classifier can learn new knowledge without forgetting the original information. Based on incremental EAM model, a tool condition monitoring system is realized. In this system, features are firstly extracted from the force and vibration signals to depict dynamic features of tool wear process. Then, fast correlation based filter (FCBF) method is introduced to select the minimum redundant features adaptively so as to decrease the feature redundancy and improve classifier robustness. Based on the selected features, EAM based incremental classifier is constructed to realize recognition of the tool wear states. To show the effectiveness of the proposed method, multi teeth milling experiments of Ti 6Al 4V alloy were carried out. Moreover, to estimate the generation error of the classifiers accurately, a five fold cross validation method is utilized. By comparison with the commonly used Fuzzy ARTMAP (FAM) classifier, it can be shown that the averaging recognition rate of EAM initial classifier can reach 98.67% which is higher than FAM. Moreover, the incremental learning ability of EAM is also analyzed and compared with FAM using the new data coming from different cutting passes and tool wear category. The results show that the updated EAM classifier can get higher classification accuracy on the original knowledge while realizing effective online learning of the new knowledge.
System and method for testing cable transfer impedance time domain
Year: 2010

The invention provides a system for testing a cable transfer impedance time domain. The system comprises a high voltage pulse signal generator for generating an excitation signal; an oscilloscope for receiving an injection signal and a response signal; an attenuator for attenuating the excitation signal; a coaxial structure current probe for observing the injection signal and the response signal at the same time; a coaxial clamp for fixing the tested cable; and an impedance match network. The invention has the following technical effects: (1) the invention is suitable for the time domain testing method, and the frequency domain transfer impedance curve can be acquired through the data process; (2) the injection pulse and the response pulse waveforms can be observed at the same time, and the pulse wave shield effect can be directly acquired; and (3) the acquired model can be applied to the analysis of the cable on the electromagnetic pulse coupling condition.
Violence of and for the Child in Child and Adolescent Adaptations of Macbeth
Year: 2019

Shakespeare's Macbeth is one of the least frequently adapted Shakespeare plays for children and young adults and for good reason. The play relies on real and imagined violence about and against children to advance the plot. Macbeth also contains traditionally problematic topics such as childbirth, sex, sexism, suicide, execution, and most notably, murder. Despite this, adaptations of Macbeth continue to circulate in child and adolescent libraries. Each adaptation examined in this paper, including Ian Lendler and Zack Giallongo's Stratford Zoo Midnight Revue Presents: Macbeth Tina Packer and Barry Moser's Tales from Shakespeare and Gareth Hinds' Macbeth however, heavily relies on censorship, be it through moralizing unjust moments of violence, oversimplifying language, or lacking graphic detail in order to accomplish their purpose: communicate the plot and supposed moral lessons of Macbeth to young people. In this paper, I argue that regardless of its problematic themes, there seems to be something inherently worthwhile in Macbeth to teach our children despite its violence and problematic themes.
Extracranial Internal Carotid Artery Pseudoaneurysms after Kinking Reconstruction
Venue: Vascular
Year: 2010

The purpose of this report is to describe our experience of infected false aneurysm treatment following internal carotid artery (ICA) reconstruction. Five and 6 years before admission, bilateral reconstruction was done because of ICA kinking at a local health center. The patient was symptomless for 5 years but later became partially symptomatic (dizziness, vertigo, and visibly bilateral neck pulsatile masses) On routinely performed ultrasonography and multislice scanner examinations, the bilateral ICA pseudoaneurysms were revealed. The final treatment was surgery and aneurysmal sac resection followed by end to end arterial reconstruction. A right sided wound swab was positive; Staphylococcus aureus was cultured. Antibiotics were administered: teicoplanin (Targocid) 800 mg as an initial dose followed by 400 mg maintenance doses over the following 4 days. After 1 month, left ICA reconstruction was done and a wound swab showed staphylococcal infection as well. At the 12 month follow up, the patient was doing well; cerebral vascularization was well preserved. Infected false aneurysms are rare complications following carotid artery reconstruction. Aneurysmal sac resection and arterial reconstruction with end to end anastomosis or autologous saphenous vein are recommended. A wound swab is mandatory.
Effet de la pathologie sur la performance lexico semantique en utilisant Evolex le cas des sujets traumatises craniens
Year: 2018

Produire un mot adequat necessite une organisation du stock lexical et une selection lexicale preservees. Certaines fonctions cognitives et executives sont egalement impliquees dans les processus langagiers. Or, les fonctions executives sont souvent alterees dans le traumatisme cranien. Ainsi, comment cette pathologie, avec ses atteintes neuropsychologiques, influe sur les processus lexico semantiques Nous avons emis l'hypothese qu'elle augmente le temps de traitement des processus lexico semantiques et endommage la selection et l'organisation lexicales. Nous avons aussi suppose que ces alterations etaient correlees avec les atteintes des fonctions executives. Pour verifier ces hypotheses, dix individus traumatises craniens ont ete compares a dix individus sains controles. Apparies en age, sexe et niveau d'etudes, tous les sujets ont effectue des tests neuropsychologiques et langagiers standards et experimentaux (denomination d'images, generation de mots et fluences verbales semantiques et phonologiques) Deux analyses ont alors ete realisees une comparaison des performances entre ces deux groupes et une correlation entre les tests neuropsychologiques et les taches langagieres chez les sujets pathologiques. Les resultats ont montre chez les patients traumatises cranien un ralentissement du temps de traitement de l'information, une atteinte des encodages semantiques et phonologiques et de l'organisation du stock lexical. Le stock lexico semantique est preserve. Les analyses ont egalement revele une alteration du stock lexico phonologique. Le traumatisme cranien a donc un effet sur certains processus lexico semantiques. Cette influence souligne que le bon fonctionnement de ces mecanismes depend de leur integrite, mais aussi d'autres fonctions cognitives que sont les fonctions executives, mnesiques et attentionnelles.
Gestion des troubles du spectre de l'autisme au cabinet dentaire elaboration d'une application numerique utilisant le systeme PECS
Year: 2020

Selon la Haute Autorite de Sante, en France, 1 enfant sur 150 a des troubles du spectre autistique (TSA) Les TSA sont des troubles du developpement, caracterises par des difficultes dans les interactions sociales, des comportements repetitifs et des interets restreints. La prise en charge dans le cadre des soins bucco dentaires est complexe et doit s'adapter au mieux a chacun. Plusieurs strategies existent pour ameliorer les interactions avec les patients atteints de TSA, dont la methode PECS (Picture Exchange Communication System) methode de communication par echange d'images. Nous avons souhaite creer un outil numerique, utilisant le systeme PECS, pour assurer une meilleure prise en charge de ces patients, au cabinet dentaire. Les objectifs etaient de preparer le patient aux differents soins realises au cabinet dentaire et de lui transmettre, de facon ludique, les regles d'hygiene bucco dentaire elementaires. Cette application numerique devait etre simple et adaptable au fil de l'apprentissage du patient. Elle a ete construite selon 3 niveaux et 3 environnements distincts. L'un montrait la consultation au travers d'une animation. L'autre, concernait l'education de l'hygiene bucco dentaire au quotidien, c'est a dire au domicile. Le dernier concernait la decouverte du cabinet dentaire et de ses differentes seances (decouverte du cabinet et de son environnement ainsi que des soins dentaires) In fine, nous avons elabore un outil numerique mais surtout un outil de communication entre le patient atteint de TSA et le chirurgien dentiste.
Accurate and Robust Surface Measurement Using Optimal Structured Light Tracking Method
Venue: IEICE Trans. Inf. Syst.
Year: 2010

Structured light vision systems are based on the fact that the pixel location of light in an image has a unique association with the object depth. However, their applications are mainly limited to the properties of the object surface and the lighting conditions. This paper presents a robust vision system for accurate acquisition of 3 D surface data based on optimal structured light. To achieve depth measurement for a dynamic scene, the data acquisition must be performed with only a single image. Our special arrangement makes the image of the light stripe remaining sharp while the background becomes blurred. Moreover, a dynamic programming approach is proposed to track the optimal path while the laser beam is invisible or divergent under extreme condition. The principle and necessary mathematics for implementing the algorithm are presented. The robustness of the system against uncalibrated errors is demonstrated.
Work Group Climate and Behavioral Responses to Psychological Contract Breach
Venue: Front. Psychol.
Year: 2019

Drawing on theories of social exchange and social information processing, we examined whether the influence of psychological contract breach on in role performance and organization directed citizenship behavior (OCBO) depends on work group climate levels, specifically procedural justice climate and power distance climate. The findings supported our hypothesis that psychological contract breach more strongly influences in role performance and OCBO among members of units with favorable procedural justice climates. Support for a hypothesized moderating role of power distance climate was less conclusive. We discuss the implications of our model and findings for theories of employee organization relationships and practice.