nils-herrmann/clean_scirepeval huggingface dataset:
Classroom management practices commonly used by secondary school teachers: results from a Queensland survey
Year: 2020

A preventative approach to classroom management is associated with increases in student engagement and improved teacher well being. However, research indicates that many teachers use predominantly reactive practices, aimed at controlling student behaviour. Queensland state secondary school teachers N 587) were surveyed about the classroom management practices they most often used to prevent and respond to unproductive student behaviours in their classrooms. Findings indicated that teachers mainly relied on practices to establish expectations, practices from the Essential Skills for Classroom Management professional development resource, and practices which sanction students for behavioural infractions. There were, however, also encouraging indications that teachers try to prevent unproductive behaviour by fostering student engagement in learning activities while addressing misbehaviour in low key ways. Implications for pre service teacher preparation and ongoing professional development are discussed.
Supporting Whole class Collaborative Inquiry in a Secondary Mathematics Classroom
Year: 2007

Recent mathematics education reform efforts call for the instantiation of mathematics classroom environments where students have opportunities to reason and construct their understandings as part of a community of learners. Despite some successes, traditional models of instruction still dominate the educational landscape. This limited success can be attributed, in part, to an underdeveloped understanding of the roles teachers must enact to successfully organize and participate in collaborative classroom practices. Toward this end, an in depth longitudinal case study of a collaborative high school mathematics classroom was undertaken guided by the following two questions: What roles do these collaborative practices require of teacher and students? How does the community's capacity to engage in collaborative practices develop over time? The analyses produced two conceptual models: one of the teacher's role, along with specific instructional strategies the teacher used to organize a collaborative learning environment, and another of the process by which the class's capacity to participate in collaborative inquiry practices developed over time.
Performance improvement of LEACH protocol using Naive Bayes Classifier in Wireless Sensor Networks
Venue: 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
Year: 2021

One of the most significant techniques for improving the lifetime of Wireless sensor networks (WSN) is clustering, and the appropriate Cluster Head Selection Technique. The inefficiency in choosing an appropriate clustering approach for The Wireless Sensor Network provided may lead to a significant loss of time and energy. Data mining approaches have always been useful in solving a variety of data based problems, but in some areas, these methods aren't actively used, such as WSNs, so in this paper, we use one of the techniques called as Naive Bayes Classifier for the optimal cluster head selection and it is seen that this method is quite promising in improving the lifetime of nodes over the slice of time. Also, it lays the foundation that other techniques must also give promising results in improving the WSN lifetime.
Ajoutons de la vie aux sens pour redonner sens a la vie prise en charge psychomotrice de la Maladie d'Alzheimer par l'approche SNOEZELEN
Year: 2016

Veritable problematique de Sante Publique, les pathologies dementielles touchent en France plus d'un million de personnes. La maladie d'Alzheimer entraine une multitude de pertes et de remaniements auxquels le malade et son entourage vont devoir faire face. L'accompagnement de la demence se veut pense et adapte. La maladie d'Alzheimer met notamment a mal l'identite psychocorporelle de la personne agee. Ses possibilites de communication se voient reduites, minimisant ainsi les echanges avec son environnement. Au travers de ce memoire nous developperons comment le psychomotricien peut apporter un cadre contenant a la personne demente de facon a favoriser la communication non verbale et la relation. Mais egalement par quels moyens il peut contribuer au sentiment d'unite et de detente psychocorporelle au travers d'un accompagnement porte autour des sens, en Snoezelen.
Sparse Coding Variational Auto Encoders
Year: 2018

The sparse coding model posits that the visual system has evolved to efficiently code natural stimuli using a sparse set of features from an overcomplete dictionary. The classic sparse coding model suffers from two key limitations, however: (1) computing the neural response to an image patch requires minimizing a nonlinear objective function, which was initially not easily mapped onto a neurally plausible feedforward mechanism and (2) fitting the model to data relied on an approximate inference method that ignores uncertainty. Here we address these two shortcomings by formulating a variational inference method for the sparse coding model inspired by the variational auto encoder (VAE) framework. The sparse coding variational auto encoder (SVAE) augments the classic sparse coding model with a probabilistic recognition model, parametrized by a deep neural network. This recognition model provides a neurally plausible implementation for the mapping from image patches to neural activities, and enables a principled method for fitting the sparse coding model to data via maximization of the evidence lower bound (ELBO) The SVAE differs from the traditional VAE in three important ways: the generative model is the sparse coding model instead of a deep network; the latent representation is overcomplete, with more latent dimensions than image pixels; and the prior over latent variables is a sparse or heavy tailed instead of Gaussian. We fit the SVAE to natural image data under different assumed prior distributions, and show that it obtains higher test performance than previous fitting methods. Finally, we examine the response properties of the recognition network and show that it captures important nonlinear properties of neurons in the early visual pathway.
Decline in terrestrial water recharge with increasing global temperatures.
Venue: The Science of the total environment
Year: 2021

Since 1901, global temperatures have risen by 0.89 degC, seriously impacting precipitation patterns and flow peaks. However, few assessments of changes in global water balance have been conducted. Here we investigate the effect of rising temperatures on water recharge for 31 major river basins across the world using satellite derived terrestrial water storage. We find reductions in Relative Recharge (indicative of the Terrestrial Water Recharge (TWR) with increasing temperature in 23 of the 31 basins, with 12 basins showing significant reductions (at 90% confidence level) The possible explanation is that increase in temperature reduces the relative recharge due to increased evapotranspiration and reduced snow accumulation. Thus, in a future warmer climate, even an unchanged precipitation would lead to diminished recharge than expected, with reductions in precipitation expected to exacerbate it further. Large scale changes in recharge would subsequently influence vegetation growth. Reduction in TWR showed clear association with diminished vegetation growth in majority of the river basins analyzed, adding further confirmation to the hypothesis being assessed.
Revision of the bees of the Colletes fasciatus group in southern Africa (Hymenoptera Colletidae)
Year: 2007

The Colletes fasciatus species group is revised. It is endemic to the winter rainfall area of South Africa and Namibia, and comprises 25 species, eleven of which are here described as new C. abnormis sp. n. C. bokkeveldi sp. n. C. cyanonitidus sp. n. C. eardleyi sp. n. C. gessi sp. n. C. karooensis sp. n. C. katharinae sp. n. C. knersvlaktei sp. n. C. nieuwoudtvillei sp. n. C. watmoughi sp. n. and C. zygophyllumsp. n. Colletes montacuti Cockerell, 1947 is synonymised under C. albohirtus Cockerell, 1946. All species are redescribed and an identification key is provided.
Artificial intelligence based single and hybrid models for prediction of water quality in rivers: A review
Year: 2020

The need for accurate predictions of water quality in rivers has encouraged researchers to develop new methods and to improve the predictive ability of conventional models. In recent years, artificial intelligence (AI) based methods have been recognized significantly powerful for this purpose. In this study, the performance of the various types of single and hybrid AI models including artificial neural networks (ANNs) genetic programming (GP) fuzzy logic (FL) support vector machine (SVM) hybrid neuro fuzzy (NF) hybrid ANN ARIMA, hybrid genetic algorithm neural networks (GA NN) and wavelet based hybrid models such as wavelet neural networks (WANN) wavelet neuro fuzzy (WNF) wavelet support vector regression (WSVR) and wavelet linear genetic programming (WLGP) models were investigated for the prediction of water quality in rivers. In this review paper, for each of the models, firstly, a brief introduction is provided. Then some recently published papers are presented to review the performance of the model for modeling water quality in rivers. For this purpose, 51 journal papers that were published from 2000 to 2016 and dealing with the use of the single and hybrid AI models for river water quality prediction were selected. The review of these papers is undertaken in terms of the predictor selection, data normalization, train, and test data division, modeling approaches, prediction time steps, and modeling performance evaluation procedures. The effect of using integrated models to improve the prediction accuracy of the single models was investigated as well. Out of the 51 selected papers, 31 papers ~60% of the entire papers) were published in the past five years. The selected papers have been cited up to 1716 times before 20th February 2016. Among the various modeling techniques, the ANN and WANN models (17 and 7 papers, respectively) were the most widely used single and hybrid models. In the reviewed papers, more attention is given to the modeling of dissolved oxygen (DO) and suspended sediment in rivers. In 23 papers, data with daily time intervals were used for water quality modeling. The present paper covers 13 different single and hybrid AI models. It presents a comprehensive investigation into the application of AI methods for modeling river water quality and offers a critical insight into the use and reliability of the various modeling approaches for modeling diverse water quality measurements.
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results
Venue: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2019

This paper reviews the NTIRE 2019 challenge on real image denoising with focus on the proposed methods and their results. The challenge has two tracks for quantitatively evaluating image denoising performance in (1) the Bayer pattern raw RGB and (2) the standard RGB (sRGB) color spaces. The tracks had 216 and 220 registered participants, respectively. A total of 15 teams, proposing 17 methods, competed in the final phase of the challenge. The proposed methods by the 15 teams represent the current state of the art performance in image denoising targeting real noisy images.
Transcriptome Responses to Combinations of Stresses in Arabidopsis1[W][OA]
Venue: Plant Physiology
Year: 2013

In Arabidopsis, the response of the majority of the genes cannot be predicted from single stress experiments and only a small fraction of the genes have potential antagonistic responses, indicating that plants have evolved to cope with combinations of stresses and therefore may be bred to endure them. Biotic and abiotic stresses limit agricultural yields, and plants are often simultaneously exposed to multiple stresses. Combinations of stresses such as heat and drought or cold and high light intensity have profound effects on crop performance and yields. Thus, delineation of the regulatory networks and metabolic pathways responding to single and multiple concurrent stresses is required for breeding and engineering crop stress tolerance. Many studies have described transcriptome changes in response to single stresses. However, exposure of plants to a combination of stress factors may require agonistic or antagonistic responses or responses potentially unrelated to responses to the corresponding single stresses. To analyze such responses, we initially compared transcriptome changes in 10 Arabidopsis (Arabidopsis thaliana) ecotypes using cold, heat, high light, salt, and flagellin treatments as single stress factors as well as their double combinations. This revealed that some 61% of the transcriptome changes in response to double stresses were not predic from the responses to single stress treatments. It also showed that plants prioritized between potentially antagonistic responses for only 5% to 10% of the responding transcripts. This indicates that plants have evolved to cope with combinations of stresses and, therefore, may be bred to endure them. In addition, using a subset of this data from the Columbia and Landsberg erecta ecotypes, we have delineated coexpression network modules responding to single and combined stresses.
Knepper Paul, The Invention of International Crime. A Global issue in the Making, 1881 1914 Knepper Paul, International Crime in the Twentieth Century The League of Nations Era, 1919 1939
Year: 2014

Voici deux courts volumes qui, ensemble, font non seulement un gros mais surtout un grand livre, un livre qu'il fallait ecrire parce qu'il fournit une vision globale tres inspirante sur la maniere dont le crime international nous dirions aujourd'hui la criminalite organisee a ete erige progressivement depuis la fin du XIXe en un probleme crucial dans l'agenda des Etats nations et sur la scene internationale naissante. La reconstruction proposee par Paul Knepper de ce processus aux.
Candle Soot as a Template for a Transparent Robust Superamphiphobic Coating
Venue: Science
Year: 2012

In the Stick of It If a coating makes a surface nonstick, how do you stick the coating to the surface in the first place? For many nonstick coatings, this involves procedures to ensure good adhesion to the underlying surface though the use of surface roughening or intermediary layers. Deng et al. (p. 67, published online 1 December; see the cover) found a very simple route using little more than candle soot as a temporary sublayer that is coated with a silica shell and subsequently removed via calcination. Once top coated with a semifluorinated silane, the resulting material possessed a low surface energy for water and also repelled oils, alchohols, and alkanes. While the coating could be damaged through mechanical wear, the remaining material continued to show superhydrophobic and superoleophobic behavior. Coatings that are highly resistant to water and to hydrocarbons can be made starting from candle soot. Coating is an essential step in adjusting the surface properties of materials. Superhydrophobic coatings with contact angles greater than 150deg and roll off angles below 10deg for water have been developed, based on low energy surfaces and roughness on the nano and micrometer scales. However, these surfaces are still wetted by organic liquids such as surfactant based solutions, alcohols, or alkanes. Coatings that are simultaneously superhydrophobic and superoleophobic are rare. We designed an easily fabricated, transparent, and oil rebounding superamphiphobic coating. A porous deposit of candle soot was coated with a 25 nanometer thick silica shell. The black coating became transparent after calcination at 600degC. After silanization, the coating was superamphiphobic and remained so even after its top layer was damaged by sand impingement.
Cognitive Behavioral Therapy in Groups
Year: 2006

Part I: Groups. General Principles and Practice of Cognitive Behavioral Therapy. Cognitive Behavioral Therapy Groups: Possibilities and Challenges. Group Processes in CBT: Using Group Dynamics Productively. Cognitive Strategies in CBT Groups. Behavioral Strategies in CBT Groups. Basic Structure and Implementation of CBT Groups. Overcoming Obstacles in CBT Groups: Challenges and Problems in Group Structure. Part II: Cognitive Behavioral Therapy Groups for Specific Disorders. Panic Disorder and Agoraphobia.  Bipolar Disorder. Eating Disorders. Rotgers, Nguyen, Substance Abuse. Freeman, Stewart, Personality Disorders. Roberts, Pinkham, Penn, Schizophrenia. Part III: Comorbidity and Future Directions. Comorbidity and CBT Groups. The FAQs of CBT Group Intervention.
Spray deposited PbS colloidal quantum dot solid for near infrared photodetectors
Year: 2020

Colloidal PbS quantum dots (QDs) are promising candidates for various optoelectronic applications based on solution processed thin film techniques. In this work, a versatile layer by layer (LBL) spray deposition of the QDs is introduced aiming for a future large scale fabrication process of optoelectronic devices. As compared to spin coated QD solids, a smaller inter dot distance and a better ordered superlattice stacking behavior of the QDs are found in the spray deposited QD solids as confirmed by grazing incidence small angle X ray scattering (GISAXS) The spectral mapping combined time resolved photoluminescence analysis indicates a longer charge carrier lifetime and better order of the energy state distribution of the spray deposited QD solid comparing with the spin coated one. Thus, photodetectors based on spray deposition of QD solids demonstrate an excellent device performance, with the responsivity achieving 365.1 A/W and the detectivity reaching up to 1.4 x 1012 Jones under an illumination power of 63.5 mW/cm2 at a wavelength of 1250 nm. The spray deposited device performances indicate a great potential of spray deposition of large sized QDs in large scale fabrications for optoelectronics using longer wavelengths.
Sequential Cross Document Coreference Resolution
Venue: ArXiv
Year: 2021

Relating entities and events in text is a key component of natural language understanding. Cross document coreference resolution, in particular, is important for the growing interest in multi document analysis tasks. In this work we propose a new model that extends the efficient sequential prediction paradigm for coreference resolution to cross document settings and achieves competitive results for both entity and event coreference while provides strong evidence of the efficacy of both sequential models and higher order inference in cross document settings. Our model incrementally composes mentions into cluster representations and predicts links between a mention and the already constructed clusters, approximating a higher order model. In addition, we conduct extensive ablation studies that provide new insights into the importance of various inputs and representation types in coreference.
Pathophysiology of Cognitive Impairment in Depression
Year: 2019

Major depression is associated with substantial cognitive impairment. Deficits in attention, memory, and executive functions affect most of those with depression and persist into remission for a substantial proportion. A growing body of research links prefrontal and hippocampal function to these cognitive impairments in depression. Further, overactivation of networks is common in depression, only to produce typical performance on cognitive tasks. Thus, we can view depression as a disorder of cognitive dysfunction related to both underactive and inefficient neural processing.
Urbun cadre juridique marocain et applications en finance islamique
Year: 2020

Les produits derives tels que les futures, les options et les swaps jouent un role tres important dans le developpement du marche financier compte tenu de la multitude de formes de leurs utilisations notamment pour la couverture, l'arbitrage et la speculation. Toutefois, ces instruments conventionnels souffrent de plusieurs formes d'illicites selon le droit musulman, ce qui les a rendu non permissibles dans les marches financiers islamiques. La recherche des alternatifs des instruments derives conformes a la Shari'ah est une preoccupation majeur de l'ingenierie financiere et juridique islamique. Dans ce cadre, les instances internationales de conformite a la shari'ah ont propose des alternatifs tels que le Salam et le Salam parallele Murabahah et Murabahah inversee et le 'urbun De ce fait, nous avons etudie dans cet article, le contrat 'urbun selon le droit musulman des affaires et le droit positif marocain, ensuite, nous avons examine son utilisation pour la couverture de risque de marche. Mots cles Droit musulman des affaires, Droit positif, 'Urbun Risque de marche, Modele de Black et Sholes.
Natural Mentoring, Academic Motivation, and Values Toward Education Among Latinx Adolescents.
Venue: American journal of community psychology
Year: 2019

We examined the roles of relational and instrumental relationship quality with natural mentors and academic intrinsic motivation on Latinx adolescents' perceived economic values of education. Participants were 256 Latinx youth (M 15.07 years old; 116 boys, 140 girls) who completed surveys in 9th and 10th grades. Path analyses indicated significant cross sectional effects in 9th grade such that instrumental quality was associated with more perceived benefits of education, and relational quality was associated with fewer perceived limitations of education. Neither instrumental nor relational quality in 9th grade was associated with either benefits or limitations of education in 10th grade. Instrumental relationship quality in 9th grade, however, did have an indirect effect on perceived benefits of education in 10th grade through intrinsic motivation. Implications for research on natural mentoring with Latinx adolescents are discussed.
Indicators of socioeconomic position (part 1)
Venue: Journal of Epidemiology and Community Health
Year: 2006

This glossary presents a comprehensive list of indicators of socioeconomic position used in health research. A description of what they intend to measure is given together with how data are elicited and the advantages and limitation of the indicators. The glossary is divided into two parts for journal publication but the intention is that it should be used as one piece. The second part highlights a life course approach and will be published in the next issue of the journal.