nils-herrmann/clean_scirepeval huggingface dataset:
A cost effective interactive 3D virtual reality system applied to military live firing training
Venue: Virtual Reality

The goal of the present study was to develop a cost effective, man machine digital interface, to improve students' real world firing range training, results, and achievement scores. A serious game based learning environment was developed, integrating invisible laser infrared technology, 1:1 real scale rifle guns with recoil effects, as well as 3D interactive virtual reality (VR) military training digital information content, to train students in military live firing. To evaluate the effectiveness of the proposed design, students' performance, in terms of their learning achievement and learning motivation, was examined. One hundred and sixty high school students from Taiwan were divided into four individual groups of 40 students each, with one control group and three experimental groups (EG1, EG2, and EG3) The data were analyzed by one way analysis of variance. The results of this cost effective 3D VR showed significantly better learning motivation, learning outcomes, and positive impacts on users' actual live firing achievement scores.
Highly integrated optical phased arrays: photonic integrated circuits for optical beam shaping and beam steering

Technologies for efficient generation and fast scanning of narrow free space laser beams find major applications in three dimensional (3D) imaging and mapping, like Lidar for remote sensing and navigation, and secure free space optical communications. The ultimate goal for such a system is to reduce its size, weight, and power consumption, so that it can be mounted on, e.g. drones and autonomous cars. Moreover, beam scanning should ideally be done at video frame rates, something that is beyond the capabilities of current opto mechanical systems. Photonic integrated circuit (PIC) technology holds the promise of achieving low cost, compact, robust and energy efficient complex optical systems. PICs integrate, for example, lasers, modulators, detectors, and filters on a single piece of semiconductor, typically silicon or indium phosphide, much like electronic integrated circuits. This technology is maturing fast, driven by high bandwidth communications applications, and mature fabrication facilities. State of the art commercial PICs integrate hundreds of elements, and the integration of thousands of elements has been shown in the laboratory. Over the last few years, there has been a considerable research effort to integrate beam steering systems on a PIC, and various beam steering demonstrators based on optical phased arrays have been realized. Arrays of up to thousands of coherent emitters, including their phase and amplitude control, have been integrated, and various applications have been explored. In this review paper, I will present an overview of the state of the art of this technology and its opportunities, illustrated by recent breakthroughs.
Dynamic mapping of all to all collective operations into hierarchical computer clusters
Venue: 2016 13th International Scientific Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE)

Interconnection networks of modern distributed computer systems are now hierarchical. In such systems communication time between processors depends on their placement in a computer system. In large scale NUMA/SMP computer clusters first two levels are formed by network switches of two stage fat tree/dragonfly topology and a third level is presented by a shared memory of computer nodes. In this paper, we describe a dynamic optimization method for collective all to all communication operations on hierarchical computer clusters. Our approach exploits knowledge of the L level hierarchy of a computer system and is based on a mapping of intensively communicating processes into the same computer nodes. Optimized versions of the Bruck and recursive doubling algorithms for MPI_Allgather operation are proposed. Algorithms are implemented in our experimental library TopoMPI. Performance results on multicore SMP computer clusters with InfiniBand and Gigabit Ethernet networks indicate that the Allgather algorithms based on our approach outperform the original Allgather algorithms (Bruck and recursive doubling)
Shakespeare's Politics of Invisibility: Power and Ideology in The Tempest

'Use your authority! (The Tempest, 1.1.20 21) The boatswain's ironic appeal to Gonzalo in the very first scene of The Tempest sets the tone and uncovers the most pervasive theme of the play: power relations. His cruel emphasis on the powerlessness of the Italian statesmen at the hands of the raging elements highlights the complex status of authority. The struggle for the control of power on the island invites socio political readings of the play. In the second part of the twentieth century, one of the main concerns of modern criticism has been to undermine Prospero's dominant discourse, pointing at the emergence of alternative voices. The present article reasserts the supremacy of his vision and its ineluctability by focusing on the paradox of authority, which raises a number of unsolved questions: how does the hard kernel of authority subtly move from invisible power to invisible ideology? But also, how does Prospero manage to sustain a consistent vision and what does it tell us in terms of dynamics of power?
An Analysis of the Relationship between High School Students' Self Efficacy, Metacognitive Strategy Use and Their Academic Motivation for Learn Biology.

This study aimed to analyze the relationship between high school students' self efficacy perceptions regarding biology, the metacognitive strategies they use in this course and their academic motivation for learn biology. The sample of the study included 286 high school students enrolled in three high schools who attended a biology course in Kars, Turkey. Survey method was employed in the study. The author administered 'Self Efficacy for Learning and Performance' and 'Metacognitive Self Regulation' subscales of Motivational Strategies for Learning Questionnaire (MSLQ) and Academic Motivation Scale for Learning Biology. According to the study results, the use of metacognitive strategies and self efficacy made a positive and significant prediction of students' intrisic motivation to learn biology. Moreover, self efficacy made a negative prediction of amotivation, and it did not predict extrinsic motivation. The use of metacognitive strategies did not predict amotivation, and it positively and significantly predicted extrinsic motivation. In addition, it was found that amotivation had a negative correlation with other variables.
Let's Discuss Aesthetics for Projects

Aesthetics is concerned with the knowledge and affects related to sensory experience and corporeality (the body) While there has been an increase in the literature based on non positivist foundations and focusing on the "lived experience" of projects, there remains a need to recognize aesthetic factors for example: dress, office layout, and body language in the project experience. Aesthetics enable us to access facets of the project experience that are beyond the rational and analytic. This article uses Heideggerian concepts to explore this "missing mass" in project management and proposes the need for further research and education in this area.
The Influence of Government Benefits and Taxes on Rates of Chronic and Transient Poverty in the United States
Venue: Social Service Review

This study examines the influence of social welfare and tax policies on rates of chronic and transient poverty in the United States for the full population and subgroups. I use longitudinal data from the Panel Study of Income Dynamics (n 10,210) over a recent 11 year time frame (1998 2008) with individuals categorized as poor using the Supplemental Poverty Measure. Results show that including government transfers in family resources reduces the overall transient poverty rate by more than one sixth and the chronic poverty rate by nearly four fifths, with a greater influence on the chronic rate in part because some individuals shift from chronic into transient poverty. Income and payroll tax liabilities have negligible influence on poverty rates net of tax credits. Medical expenses are largely associated with an increase in the transient poverty rate. Results imply that there is value to examining the effects of social policy on poverty from more than just the traditional cross sectional perspective.
Dynamic Materials Inspired by Cephalopods

The related concepts of disguising an object or physically changing it to resemble something entirely different have long captivated the human imagination. Although such notions are seemingly derived from fables and science fiction, cephalopods have perfected analogous capabilities over millions of years of natural evolution. Consequently, these invertebrates have emerged as exciting sources of inspiration for futuristic adaptive camouflage and shapeshifter like technologies. Herein, we provide an overview of selected literature examples that have used cephalopods as models for the development of novel adaptive materials, devices, and systems. We in turn highlight some significant remaining challenges and potential future directions for such studies. Through this perspective, we hope to stimulate additional dialogue and continued scientific exploration within the area of cephalopod inspired dynamic materials.
Data Association for Multi Object Visual Tracking
Venue: Data Association for Multi Object Visual Tracking

In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi object tracking algorithms provide new information on how groups and individual group members move through three dimensional space. They enable us to study in depth the relationships between individuals in moving groups. These may be interactions of pedestrians on a crowded sidewalk, living cells under a microscope, or bats emerging in large numbers from a cave. Being able to track pedestrians is important for urban planning; analysis of cell interactions supports research on biomaterial design; and the study of bat and bird flight can guide the engineering of aircraft. We were inspired by this multitude of applications to consider the crucial component needed to advance a single object tracking system to a multi object tracking system data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about their identities, positions, or trajectories. Algorithms for data association search for matches that optimize certain match criteria and are subject to physical conditions. They can therefore be formulated as solving a "constrained optimization problem" the problem of optimizing an objective function of some variables in the presence of constraints on these variables. As such, data association methods have a strong mathematical grounding and are valuable general tools for computer vision researchers. This book serves as a tutorial on data association methods, intended for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across time and across view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research.
Analysis of the Rational Krylov Subspace Projection Method for Large Scale Algebraic Riccati Equations
Venue: SIAM J. Matrix Anal. Appl.

In the numerical solution of the algebraic Riccati equation $A^ X X A X BB^ X C^ C =0$ where $A$ is large, sparse, and stable, and $B$ $C$ have low rank, projection methods have recently emerged as a possible alternative to the more established Newton Kleinman iteration. In spite of convincing numerical experiments, a systematic matrix analysis of this class of methods is still lacking. We derive new relations for the approximate solution, the residual, and the error matrices, giving new insights into the role of the matrix $A BB^*X$ and of its approximations in the numerical procedure. In the context of linear quadratic regulator problems, we show that the Riccati approximate solution is related to the optimal value of the reduced cost functional, thus completely justifying the projection method from a model order reduction point of view. Finally, the new results provide theoretical ground for recently proposed modifications of projection methods onto rational Krylov subspaces.
Take a break! Benefits of sleep and short breaks for daily work engagement

The current study investigates the benefits of a good night's sleep and short work breaks for employees' daily work engagement. It is hypothesized that sleep and self initiated short breaks help restore energetic and self regulatory resources which, in turn, enable employees to experience high work engagement. A daily diary study was conducted with 107 employees who provided data twice a day (before lunch and at the end of the working day) over 5 workdays (453 days in total) Multilevel regression analyses showed that sleep quality and short breaks were beneficial for employees' daily work engagement. After nights employees slept better, they indicated higher work engagement during the day. Moreover, taking self initiated short breaks from work in the afternoon boosted daily work engagement, whereas taking short breaks in the morning failed to predict daily work engagement. Taking short breaks did not compensate for impaired sleep with regard to daily work engagement. Overall, these findings suggest that recovery before and during work can foster employees' daily work engagement.
CLV3W: A clustering around latent variables approach to detect panel disagreement in three way conventional sensory profiling data

To detect panel disagreement, we propose the clustering around latent variables for three way data (CLV3W) approach which extends the clustering of variables around latent components (CLV) approach to three way data typically obtained from a conventional sensory profiling procedure (i.e. assessors rating products on various descriptors) The CLV3W method groups the descriptors into Q clusters and estimates for each cluster an associated latent sensory component such that the attributes within each cluster are as much related (i.e. highest squared covariance) as possible with the latent component. Simultaneously, for each latent sensory component separately, a system of weights is estimated that yields information regarding the extent to which an assessor (dis)agrees with the rest of the panel according to the latent sensory component under study. Our new approach is illustrated with a dataset pertaining to Quantitative Descriptive Analysis applied to cider varieties. It is shown that CLV3W, as opposed to related approaches, is able to detect differential panel disagreement on various latent sensory components.
Supervised clustering of variables
Venue: Adv. Data Anal. Classif.

In predictive modelling, highly correlated predictors lead to unstable models that are often difficult to interpret. The selection of features, or the use of latent components that reduce the complexity among correlated observed variables, are common strategies. Our objective with the new procedure that we advocate here is to achieve both purposes: to highlight the group structure among the variables and to identify the most relevant groups of variables for prediction. The proposed procedure is an iterative adaptation of a method developed for the clustering of variables around latent variables (CLV) Modification of the standard CLV algorithm leads to a supervised procedure, in the sense that the variable to be predicted plays an active role in the clustering. The latent variables associated with the groups of variables, selected for their "proximity" to the variable to be predicted and their "internal homogeneity" are progressively added in a predictive model. The features of the methodology are illustrated based on a simulation study and a real world application.
The Cross In Corinth The Social Significance Of The Death Of Jesus

the cross in corinth social significance of death jesus are a good way to achieve details about operating certainproducts. Many products that you buy can be obtained using instruction manuals. These user guides are clearlybuilt to give step by step information about how you ought to go ahead in operating certain equipments. Ahandbook is really a user's guide to operating the equipments. Should you loose your best guide or even the productwould not provide an instructions, you can easily obtain one on the net. You can search for the manual of yourchoice online. Here, it is possible to work with google to browse through the available user guide and find the mainone you'll need. On the net, you'll be able to discover the manual that you might want with great ease andsimplicity
Atonement at the Right Hand: The Sacrificial Significance of Jesus' Exaltation in Acts*
Venue: New Testament Studies

Luke Acts is strangely silent regarding the sacrificial significance of Jesus' crucifixion. Curiously, too, Acts more closely links the salvific benefits that Jesus provides with his resurrection and exaltation than with his death. Luke, many conclude, is not concerned with explaining Jesus' atoning work in terms of Jewish sacrificial categories. By way of contrast, this article argues that Luke's connecting of forgiveness and purification (i.e. key elements of sacrificial atonement) with Jesus' exaltation indicates that he is aware of the sacrificial aspects of Jesus' work. Jewish sacrifice consists of a hierarchically structured ritual process that cannot be reduced to the slaughter of the victim. In Leviticus, the culminating elements of this process occur as the priests convey the materials of the sacrifice into God's presence (i.e. offer the sacrifice) by approaching and serving at the various altars. Such a perspective on sacrifice is suggestive for interpreting Luke's emphasis on Jesus' exaltation in Acts. Luke has not stressed the sacrificial aspects of Jesus' death, but has highlighted the atoning benefits of Jesus' exaltation because he understands Jesus to have offered his atoning sacrifice as part of his exaltation to the right hand of God.
Visual Exploration System in an Industrial Context
Venue: IEEE Transactions on Industrial Informatics

This paper describes ExploraTool, a new interactive tool to visually explore data from multiple repositories. The tool has been applied in a real setting to explore computational fluid dynamics (CFD) simulation data and obtain new insights into the space of simulations. The inclusion of free exploration, filtering operations, and chart generation provides a quick method for performance comparisons. The paper proposes an algorithmic means of processing input in the form of tabular data sets, generating a plausible hierarchical structure over metadata categories, which is used to initialize the visualization together with interactions' methods to explore, select, and compare sets of simulation data. This paper also reports on the evaluation study performed involving 24 engineers over two distinct locations from a large automotive manufacturer to evaluate the usability and the overall user satisfaction with the tool. Participants rated the tool as intuitive, useful, and effective.
Comparison of deep neural networks to spatio temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
Venue: Scientific reports

The complex multi stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage wise computations therein remain poorly understood. Here, we compared temporal (magnetoencephalography) and spatial (functional MRI) visual brain representations with representations in an artificial deep neural network (DNN) tuned to the statistics of real world visual recognition. We showed that the DNN captured the stages of human visual processing in both time and space from early visual areas towards the dorsal and ventral streams. Further investigation of crucial DNN parameters revealed that while model architecture was important, training on real world categorization was necessary to enforce spatio temporal hierarchical relationships with the brain. Together our results provide an algorithmically informed view on the spatio temporal dynamics of visual object recognition in the human visual brain.
Promoting Acculturation Through Sport: An Ethnic Cultural Identity Approach

In the era of globalization, multicultural societies are common in most developed countries. As a consequence, new challenges at both national and international levels have become apparent, and successful adaptation to this new phenomenon of migration appears as a fundamental issue. Sport has traditionally been considered to be a vehicle for bringing people together (Eitzen, D. S. Sage, G. H. (2003) Sociology of North American sport (7th ed. New York: McGraw Hill) and recently there has been an increasing policy interest to use sport as a tool to promote integration in multicultural societies. Regardless of its political significance, research on the integrative role sport plays in our society is limited and findings are equivocal (Hatzigeorgiadis, A. Morela, E. Elbe, A. M. Sanchez, X. (2013) The integrative role of sport in multicultural societies. European Psychologist, 18, 191 202) In this chapter, we address these findings within the ethnic cultural identity approach (Berry, J. W. (1980) Acculturation as varieties of adaptation. In: A. Padilla ( Theory, models and some new findings (pp. 9 25) Boulder: Westview; Immigration, acculturation, and adaptation. Applied Psychology, 46, 5 34) In particular, we discuss a number of studies that (1) have used a sound ethnic cultural identity framework and (2) have attempted to identify variables that may influence the effectiveness of sport participation toward the goal of social integration. Lastly, we address future research venues and provide practical implications that can contribute to the further understanding of the potential role of sport in the promotion of social integration in today's multicultural societies.
Why Do People Regulate Their Emotions? A Taxonomy of Motives in Emotion Regulation
Venue: Personality and social psychology review an official journal of the Society for Personality and Social Psychology, Inc

Emotion regulation involves the pursuit of desired emotional states (i.e. emotion goals) in the service of superordinate motives. The nature and consequences of emotion regulation, therefore, are likely to depend on the motives it is intended to serve. Nonetheless, limited attention has been devoted to studying what motivates emotion regulation. By mapping the potential benefits of emotion to key human motives, this review identifies key classes of motives in emotion regulation. The proposed taxonomy distinguishes between hedonic motives that target the immediate phenomenology of emotions, and instrumental motives that target other potential benefits of emotions. Instrumental motives include behavioral, epistemic, social, and eudaimonic motives. The proposed taxonomy offers important implications for understanding the mechanism of emotion regulation, variation across individuals and contexts, and psychological function and dysfunction, and points to novel research directions.