Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolution of Covert Coaching as an Evidence-Based Practice in Professional Development and Preparation of Teachers

There is a tradition of coaching in many fields that prepares and improves performance among professionals. Coaching practices evolved over time, with several technological applications developed to improve the coaching process. An application gaining attention as an evidence-based practice is the use of wireless communication systems in which coaching statements are delivered to individuals while they engage in work. In education this has been called Bug-in-Ear coaching or Covert Audio Coaching, and has demonstrated its efficacy as a coaching intervention with teachers, families, and individuals with developmental disabilities. In this chapter the evolution of coaching across disciplines is summarized and specific applications that hold promise as an evidence-based practice for the professional development and preparation of teachers are described. This chapter summarizes 22 studies which support covert coaching as an evidence-based practice. Covert coaching enables immediate feedback without interrupting the participants, and provides opportunities for immediate error correction.
Phosphorylation of the Ndc80 complex protein, HEC1, by Nek2 kinase modulates chromosome alignment and signaling of the spindle assembly checkpoint

Hec1 contributes to accurate chromosome segregation by mediating spindle assembly checkpoint (SAC) signals and microtubule binding to ensure proper spindle assembly. We found that serine 165 of Hec1 was phosphorylated preferentially at kinetochores of misaligned chromosomes. This phosphorylation is important for SAC maintenance via Mad1/Mad2 localization to kinetochores.
Influence of Late Vascular Inflammation on Long‐Term Outcomes Among Patients Undergoing Implantation of Drug Eluting Stents: Role of C‐Reactive Protein

Background Elevation of C‐reactive protein (CRP) as a marker of vascular inflammation at a late phase of drug‐eluting stent (DES) implantation may predict subsequent major adverse cardiac events (MACE). Methods and Results In 1234 consecutive patients undergoing DES implantation, CRP was measured both before (baseline) and 8 to 12 months after (late phase) stenting, and the relationship between elevation of CRP (>2.0 mg/L) and subsequent MACE (all cause death, nonfatal myocardial infarction, target lesion revascularization, and other additional revascularization) was assessed. As results, CRP was elevated in 38.0% of patients at baseline and in 23.6% during late phase (P<0.0001), and hazard ratio (HR) for MACE was 1.52 (95% confidence interval [95% CI] 1.21–1.93, P=0.0004) at baseline versus 4.00 (95% CI 3.16–5.05, P<0.0001) in late phase. By multivariable analysis, late‐phase CRP elevation (HR 3.60, 95% CI: 2.78–4.68, P<0.0001), chronic kidney disease (CKD) (HR 1.41, 95% CI: 1.10–1.84, P=0.01), and number of diseased segments (HR 1.19, 95% CI: 1.08–1.30, P=0.0002) were positive predictors of MACE, whereas statin use (HR 0.66, 95% CI 0.50–0.87, P=0.003) was a negative predictor. Propensity score–matched analysis also confirmed the effect of late‐phase CRP on MACE (HR 3.39, 95% CI 2.52–4.56, P<0.0001). In prediction of the late‐phase CRP elevation, CKD (odds ratio [OR] 1.71, 95% CI 1.24–2.36, P=0.001) and baseline CRP elevation (OR 3.48, 95% CI 2.55–4.74, P<0.0001) were positive predictors, whereas newer generation DES (OR 0.59, 95% CI 0.41–0.84, P=0.003) and statin therapy (OR 0.68, 95% CI 0.47–0.97, P=0.03) were negative predictors. Conclusions Monitoring the late‐phase CRP may be helpful to identify a high‐risk subset for MACE among patients undergoing DES implantation.
Efficiency of probabilistic testability analysis for soft error effect analysis: A case study

Evaluating the potential functional effects of soft errors (single or multiple bit-flips) in digital circuits becomes a critical design constraint. The usual approaches, based on fault injection techniques, suffer several limitations. New approaches, better suited to large circuits with complex workloads, are therefore suitable. An innovative approach was recently proposed, based on probabilistic testability analysis. This paper compares the presented results with results obtained from extensive fault injection campaigns.
Identifying Sign of Grit among Self-Paced MOOC Students Based on Clickstream Data

Previous research that investigate and predict student’s performance share various results concerning the factors that drive the students to retain and success. The factor ranging from intrinsic to extrinsic. However, few MOOC research attempt to scrutinize grit factor. Previous researches results are from survey. However, self-report survey is insufficient because the students may have different interpretation about the questions and measurement for themselves. Therefore, this is a case study that attempts to investigate the sign of grit among self-paced MOOC students using proposed features based on clickstream data. Also, the study observes whether the grit traits have relation with student’s performance. This study found that many students have high grade despite having low grit traits. However, statistical analysis shows that there is still significant correlation between grit traits and student’s grade. Other factor like unrecorded effort outside online learning may contribute to this result which can be investigated by future study. There is potential for better result by combining proposed method with collected survey.
What has been tampered? From a sparse manipulation perspective

Existing forensic fingerprints mostly rely on robust statistical estimates, which usually hinder accurate image tampering detection at fine-grained level. To date, people still put a big question mark behind “what has been tampered? ” In this paper, we try to answer this question from a counterfeiter's perspective, devil in the details, that image tampering is usually sparsely and delicately manipulated. Thanks to recently well-established rank-sparsity incoherence, we formulate the fine-grained tampering detection as a constrained minimization problem in order to discriminate the authentic areas (sharing similar feature behaviours) from the tampered areas (inconsistently and sparsely distributed) in a forensic feature space. Our formulation could incorporate with any applicable forensic features and, unlike existing methods, needs neither statistical analysis nor model factor estimation. Our experimental results show that the proposed method successfully locates various kinds of image tampering, including copy-move forgery, resampling and recompression, at fine-grained level.
Between the Global and the Local: Human Rights Discourse and Engagement in Two New York City High Schools

While there has been a rise in human rights education at the global level, little attention has been paid to how it is integrated into schools in the United States. Drawing on qualitative and quantitative data collected in two diverse high schools across an academic year, S. Garnett Russell investigates the extent to which human rights education influences students' knowledge and attitudes about human rights and how students engage with and translate global human rights into the local context. Although the majority of students in the study showed a superficial understanding or sense of distance around global human rights issues, Russell finds that students were better able to “vernacularize” universal notions of rights into their own local context, particularly around issues linked to police brutality and racial discrimination. Findings from the study point to the importance of human rights education, particularly for marginalized students.
An empirical study of the important factors for knowledge-management adoption in the SME sector

Purpose – To investigate the critical success factors (CSFs) for adopting knowledge management (KM) in small and medium‐sized enterprises (SMEs) – an area that has, to date, received very little attention in the literature.Design/methodology/approach – A survey instrument comprising 11 factors and 66 elements was developed. Through a postal survey, data were sought from SMEs in the UK. A parallel one was also administered to a group of academics, consultants and practitioners in the KM field in order to provide a more holistic view of the CSFs.Findings – The survey instrument was shown to be both reliable and valid. Pertinent statistical analyses were then performed. By integrating the results from both groups of respondents, a prioritised list of CSFs, in order of importance for implementing KM, was generated.Research limitations/implications – The number of responses received was rather small since KM is a new and emerging discipline, and not many SMEs have formally implemented it.Practical implications.
Training Culturally Competent Psychologists: A Systematic Review of the Training Outcome Literature

The purpose of this systematic review of the literature was to further understand the goals of cultural competency trainings and the procedures used to train psychologists, and to synthesize evaluations of the outcomes of these trainings. Seventeen training outcome studies were identified. Results from revealed a wide variety of training procedures including lecture, discussion, utilization of case scenarios, cultural immersion, role-play, contact with diverse individuals, self-reflection of interactions with clients, journaling, and service learning. Across studies, topics covered within training curricula included racism/discrimination, worldviews, cultural identity, general concepts about culture, biases, and information about the clinical/client interaction as it relates to cultural competency or diversity. Cultural competency training increased knowledge, whereas findings for changes in attitudes, awareness, and skills were mixed. Evidence-based training guidelines and practices are needed. Given the complexities associated with culture and the ample number of variables that can be classified as cultural (i.e., immigration status, language, acculturation), developing evidence-based training guidelines is a challenging task that may require a reconsideration of how cultural competency training is approached. Because there is not sufficient information to suggest that specific curricular methods or content produce reliable outcomes, the field should reconsider the foundation of cultural competency training using psychological science as a basis.
SOFORT: a hybrid SCM-DRAM storage engine for fast data recovery

Storage Class Memory (SCM) has the potential to significantly improve database performance. This potential has been well documented for throughput [4] and response time [25, 22]. In this paper we show that SCM has also the potential to significantly improve restart performance, a shortcoming of traditional main memory database systems. We present SOFORT, a hybrid SCM-DRAM storage engine that leverages full capabilities of SCM by doing away with a traditional log and updating the persisted data in place in small increments. We show that we can achieve restart times of a few seconds independent of instance size and transaction volume without significantly impacting transaction throughput.
FORMAÇÃO DE PALAVRAS E VISÕES ALTERNATIVAS NAS RELAÇÕES MORFOSSINTÁTICAS

Este artigo tem por objetivo propor uma reflexao acerca do ensino de morfossintaxe do portugues brasileiro, a fim de contribuir com atividades que possam ajudar a professores da area sobre como lidar com o tema na sala de aula. Para abordar a questao, serao apresentadas propostas de como tratar das nocoes morfossintaticas nos processos de formacao de palavras, ou seja, como os aspectos da morfossintaxe do portugues - conteudo normalmente nao agradavel a maioria dos alunos e tido por eles como sem finalidade para entendimento e uso da lingua – estao presentes nao apenas nas oracoes, mas tambem em niveis menores, como nas palavras, em seus diversos processos de formacao. A ideia e mostrar que essas operacoes refletem mecanismos conceptuais gerais, ou seja, formas de pensar e, por isso, estao presentes na lingua, nos seus diversos niveis. Assim, esse estudo dialoga com premissas dos estudos cognitivistas, conforme Lakoff (1987), e tambem com os estudos recentes da gramatica multissistemica, de Castilho (2010), em especial com foco no dispositivo sociocognitivo, que afeta todos os sistemas linguisticos simultaneamente, ou seja, nao ha uma hierarquia entre os niveis da gramatica. Este estudo, embora recorra a alguns aportes teoricos, como os mencionados acima, nao se pautara em um em especifico, visto que a proposta aqui nao se trata de uma aplicacao teorica, e sim visa a trazer contribuicoes para os profissionais de lingua portuguesa em ensino medio e fundamental. Abstract: This article aims to propose a reflection about the teaching of morphosyntax of Brazilian Portuguese, in order to contribute with activities that can help teachers of the area on how to deal with the theme in the classroom. To address the issue, proposals will be presented on how to deal with morphosyntactic notions in word formation processes, that is, how aspects of Portuguese morphogenesis - content not usually pleasing to most students and considered by them as having no purpose for understanding and use of language - are present not only in prayers but also in lower levels, as in words, in their various processes of formation. The idea is to show that these operations reflect general conceptual mechanisms, that is, ways of thinking and, therefore, are present in the language, in its different levels. Thus, this study dialogues with premises of cognitive studies, according to Lakoff (1987), and also with the recent studies of the multisystemic grammar, of Castilho (2010), especially with focus on the sociocognitive device, that affects all the linguistic systems simultaneously, or there is no hierarchy between levels of grammar. This study, although it uses some theoretical contributions, such as those mentioned above, will not be based on a specific one, since the proposal here is not a theoretical application, but rather aims to bring contributions to Portuguese-speaking professionals in teaching average and fundamental.
Improved Canonical Dual Algorithms for the Maxcut Problem

By introducing a quadratic perturbation to the canonical dual of the maxcut problem, we transform the integer programming problem into a concave maximization problem over a convex positive domain under some circumstances, which can be solved easily by the well-developed optimization methods. Considering that there may exist no critical points in the dual feasible domain, a reduction technique is used gradually to guarantee the feasibility of the reduced solution, and a compensation technique is utilized to strengthen the robustness of the solution. The similar strategy is also applied to the maxcut problem with linear perturbation and its hybrid with quadratic perturbation. Experimental results demonstrate the effectiveness of the proposed algorithms when compared with other approaches.
Performance of Dual-Hop Multi-Antenna Systems with Fixed Gain Amplify-and-Forward Relay Selection

The performance of amplify-and-forward relaying in Rayleigh channels is explored for a dual-hop transmission system in which a transmission source selects one of several relays based upon instantaneous SNR (signal to noise ratio) to transmit a data packet to a destination receiver. Both source and receiver devices have multiple antennas, employing beamforming for transmission and MRC (maximal ratio combining) for reception. The chosen relay performs fixed gain forwarding. Closed form solutions for several performance measures are derived for this practical system, and the system is studied in terms of outage probability and symbol error rate which are verified through simulation. Several implementation alternatives are explored to note performance trade-offs, particularly between number of antennas and number of relays.
Multimodal Effects of Local Context on Target Detection: Evidence from P3b

Abstract We used the P300 component to investigate how changes in local context influenced the ability to detect target stimuli. Local context was defined as the occurrence of a short predictive series of stimuli before delivery of a target event. EEG was recorded in 12 subjects during auditory and visual sessions. Stimuli were presented in the center of the auditory and visual field and consisted of 15% targets (1000 Hz tone or downward facing triangle) and 85% of equal amounts of three types of standards (1500, 2000, and 2500 Hz tones or triangles facing left, upward, and right). Recording blocks consisted of targets preceded by either randomized sequences of standards or by sequences including a three-standard predictive sequence signaling the occurrence of a subsequent target event. Subjects pressed a button in response to targets. Peak target P300 (P3b) amplitude and latency were evaluated for targets after predictive and nonpredictive sequences using conventional averaging and a novel single-trial analysis procedure. Reaction times were shorter for predictable targets than for nonpredicted targets. P3b latency was shorter for predicted targets than for nonpredictive targets, and there were no significant P3b amplitude differences between predicted and random targets, as determined by both conventional averaging and single-trial analysis. Comparable effects on amplitude and latency were observed in both the auditory and visual modalities. The results indicate that local context has differential effects on P3b amplitude and latency, and exerts modality-independent effects on cognitive processing.
Advanced Methodology for European Laeken Indicators Deliverable 6 . 2 Synthetic Data Generation of SILC Data Version : 2011

The objective of this deliverable is to give an overview of the state of the art of data generation mechanisms. The generated populations which serve as the simulation basis are presented in this deliverable. Two main synthetic universes have been generated: on the one hand the AAT-SILC population and on the other hand the AMELIA data set. The University of Vienna is responsible for the generation of the AAT-SILC population whereas the University of Trier is responsible for the generation of the AMELIA population.
Agglomerative Fuzzy Clustering based on Bayesian Interpretation

This paper presents iterative Bayesian fuzzy clustering (IBFC), which is based on incorporating integrated adaptive fuzzy clustering (IAFC) with Bayesian decision theory, and finally derives agglomerative IBFC based on its Bayesian interpretation. IAFC performs a vigilance test so that outliers can be eliminated from learning procedure. However, we have no theoretical background on the rationality of the test. Thus, we claim that the decision and vigilance test of IBFC follow Bayesian minimum risk classification rule within a framework of Bayesian decision theory. Moreover, based on this interpretation, we propose Agglomerative IBFC capable of clustering data of complex structure. Test on synthetic data shows an outstanding success rate, and test on benchmark data shows that our proposed method performs better than several existing methods.
Plan Bouquets

Identifying efficient execution plans for declarative OLAP queries typically entails estimation of several predicate selectivities. In practice, these estimates often differ significantly from the values actually encountered during query execution, leading to poor plan choices and grossly inflated response times. We propose here a conceptually new approach to address this classical problem, wherein the compile-time estimation process is completely eschewed for error-prone selectivities. Instead, from the set of optimal plans in the query’s selectivity error space, a limited subset, called the “plan bouquet,” is selected such that at least one of the bouquet plans is 2-optimal at each location in the space. Then, at run time, a sequence of cost-budgeted executions from the plan bouquet is carried out, eventually finding a plan that executes to completion within its assigned budget. The duration and switching of these executions is controlled by a graded progression of isosurfaces projected onto the optimal performance profile. We prove that this construction results, for the first time, in guarantees on worst-case performance sub-optimality. Moreover, it ensures repeatable execution strategies across different invocations of a query. We then present a suite of enhancements to the basic plan bouquet algorithm, including randomized variants, that result in significantly stronger performance guarantees. An efficient isosurface identification algorithm is also introduced to curtail the bouquet construction overheads. The plan bouquet approach has been empirically evaluated on both PostgreSQL and a commercial DBMS, over the TPC-H and TPC-DS benchmark environments. Our experimental results indicate that it delivers substantial improvements in the worst-case behavior, without impairing the average-case performance, as compared to the native optimizers of these systems. Moreover, it can be implemented using existing optimizer infrastructure, making it relatively easy to incorporate in current database engines. Overall, the plan bouquet approach provides novel performance guarantees that open up new possibilities for robust query processing.
The Morale Effects of Pay Inequality

The idea that worker utility is affected by co-worker wages has potentially broad labor market implications. In a month-long experiment with Indian manufacturing workers, we randomize whether co-workers within production units receive the same flat daily wage or different wages (according to baseline productivity rank). For a given absolute wage, pay inequality reduces output and attendance by 0.24 standard deviations and 12%, respectively. These effects strengthen in later weeks. Pay disparity also lowers co-workers’ ability to cooperate in their self-interest. However, when workers can clearly observe productivity differences, pay inequality has no discernible effect on output, attendance, or group cohesion.
GPU-based Collision Detection and Response for Particles on 3D Models

This paper presents a GPU-based approach to handle collision detection and response for particles on 3D models. Signed Hausdorff distance fields were used and stored in volume textures. The voxels in a distance field stored the Hausdorff distance to the 3D model and the normal of the corresponding nearest surface. Object-based collision detection and response were processed using a pixel shader with texture sampling on the Hausdorff distance field. Particles were updated by rendering them using programmable graphics hardware acceleration. No data had to be transferred to the CPU between frames. The power of parallel GPU computation made the simulation of the particle system on a GPU at least twice as fast as that on a CPU.
Factorial and convergent validity of the Exercise Identity Scale in a German adult sample

ABSTRACT The purpose of the present study was to examine the factorial and convergent validity of the German translation of the Exercise Identity Scale (EIS; Anderson & Cychosz, 1994). We introduce a bifactor model as a possible alternative to the previously discussed one- and two-factor models. Using an online study with 530 participants, our results suggest that the EIS should be considered a unidimensional measure. For this one-factor model, temporal invariance (time interval: 2 weeks) and invariance between men and women could be established. Relations to similar constructs were in the expected directions. We provide a psychometrically sound German version of the EIS, which demonstrated factorial and convergent validity in this study. The use of the scale in German samples is likely to advance research on exercise adoption and maintenance by integrating the exercise identity construct.