nils-herrmann/clean_scirepeval huggingface dataset:
Task switching in video game players: Benefits of selective attention but not resistance to proactive interference.

Research into the perceptual and cognitive effects of playing video games is an area of increasing interest for many investigators. Over the past decade, expert video game players (VGPs) have been shown to display superior performance compared to non-video game players (nVGPs) on a range of visuospatial and attentional tasks. A benefit of video game expertise has recently been shown for task switching, suggesting that VGPs also have superior cognitive control abilities compared to nVGPs. In two experiments, we examined which aspects of task switching performance this VGP benefit may be localized to. With minimal trial-to-trial interference from minimally overlapping task set rules, VGPs demonstrated a task switching benefit compared to nVGPs. However, this benefit disappeared when proactive interference between tasks was increased, with substantial stimulus and response overlap in task set rules. We suggest that VGPs have no generalized benefit in task switching-related cognitive control processes compared to nVGPs, with switch cost reductions due instead to a specific benefit in controlling selective attention.
Efficient scalar quantization of exponential and Laplacian random variables

AbstructThis paper presents solutions to the entropyconstrained scalar quantizer (ECSQ) design problem for two sources commonly encountered in image and speech compression applications: sources having the exponential and Laplacian probability density functions. We use the memoryless property of the exponential distribution to develop a new noniterative algorithm for obtaining the optimal quantizer design. We show how to obtain the optimal ECSQ either with or without an additional constraint on the number of levels in the quantizer. In contrast to prior methods, which require multidimensional iterative solution of a large number of nonlinear equations, the new method needs only a single sequence of solutions to one-dimensional nonlinear equations (in some Laplacian cases, one additional two-dimensional solution is needed). As a result, the new method is orders of magnitude faster than prior ones. We show that as the constraint on the number of levels in the quantizer is relaxed, the optimal ECSQ becomes a uniform threshold quantizer (UTQ) for exponential, but not for Laplacian sources. We then further examine the performance of the UTQ and optimal ECSQ, and also investigate some interesting alternatives to the UTQ, including a uniform-reconstruction quantizer (URQ) and a constant dead-zone ratio quantizer (CDZRQ).
Comparison between MOEA/D and NSGA-II on the Multi-Objective Travelling Salesman Problem

Most multiobjective evolutionary algorithms are based on Pareto dominance for measuring the quality of solutions during their search, among them NSGA-II is well-known. A very few algorithms are based on decomposition and implicitly or explicitly try to optimize aggregations of the objectives. MOEA/D is a very recent such an algorithm. One of the major advantages of MOEA/D is that it is very easy to use well-developed single optimization local search within it. This paper compares the performance of MOEA/D and NSGA-II on the multiobjective travelling salesman problem and studies the effect of local search on the performance of MOEA/D.
Totem-Pole Boost Bridgeless PFC Rectifier With Simple Zero-Current Detection and Full-Range ZVS Operating at the Boundary of DCM/CCM

A totem-pole boost bridgeless power-factor-correction rectifier with simple zero-current detection and full-range zero-voltage switching (ZVS) is proposed, which operates at the boundary of discontinuous-conduction mode and continuous-conduction mode. Comparing with the boundary dual boost bridgeless rectifier, the required number of power components is reduced by one third and two current transducers can be eliminated. The zero-current detection is achieved by sampling the diode current through a single current transducer. Besides, a soft-transition method is proposed to suppress the current spike at the line-voltage zero-crossing point. Furthermore, a ZVS range extension operation is proposed to achieve ZVS in the MOSFETs within the full range of line input, which needs no additional MOSFETs. This also makes it possible to reduce MOSFET turn-OFF losses by paralleling external capacitors. Hence, a high-efficiency and low common-mode noise-interference bridgeless rectifier is achieved. This rectifier is also a candidate for interleaving operation to upgrade the power level. The experimental results show that ZVS is achieved within the full range of universal line input. The efficiency is above 96% at full load under 90 V and the maximum efficiency is above 98.4%. The ZVS range extension operation improves the efficiency by 0.5%.
Capacitive-Ended Interdigital Coupled Lines for UWB Bandpass Filters With Improved Out-of-Band Performances

This letter presents a novel ultra-wideband (UWB) microstrip bandpass filter on a microstrip line with improved out-of-band performances. A multiple-mode resonator (MMR) is first constituted to equally allocate its first three resonant frequencies in the 3.1-10.6-GHz UWB band. Two capacitive-ended interdigital coupled lines are then formed to assign their transmission zero towards the fourth-order resonant frequency of this MMR, thereby suppressing the first spurious passband. Moreover, two outer arms in the interdigital lines are properly tapered to compensate the phase imbalance or group delay near the UWB upper-end relying on extra capacitive-ended stubs. And finally, two UWB filters with one- and two-MMRs are designed and implemented to experimentally demonstrate the improved out-of-band performances, i.e., widened/deepened upper-stopband and sharpened rejection skirts outside the UWB passband
I-TCP: Indirect TCP for Mobile Hosts

IP-based solutions to accommodate mobile hosts within existing internetworks do not address the distinctive features of wireless mobile computing. IP-based transport protocols thus suffer from poor performance when a mobile host communicates with a host on the fixed network. This is caused by frequent disruptions in network layer connectivity due to — i) mobility and ii) unreliable nature of the wireless link. We describe the design and implementation of I-TCP, which is an indirect transport layer protocol for mobile hosts. I-TCP utilizes the resources of Mobility Support Routers (MSRs) to provide transport layer communication between mobile hosts and hosts on the fixed network. With I-TCP, the problems related to mobility and the unreliability of wireless link are handled entirely within the wireless link; the TCP/IP software on the fixed hosts is not modified. Using I-TCP on our testbed, the throughput between a fixed host and a mobile host improved substantially in comparison to regular TCP.
Modeling Business Processes - A Petri Net-Oriented Approach

modeling business processes a petri net-oriented approach modeling business processes a petri net oriented approach modeling business processes: a petri net-oriented approach modeling business processes a petri net oriented approach modeling business processes a petri net oriented approach modeling business processes: a petri net-oriented approach modeling business processes a petri net oriented approach a petri net-based software process model for developing modeling business processes a petri net oriented approach petri nets and business process management dagstuhl modeling business processes a petri net oriented approach killer app for petri nets process mining a petri net approach to analysis and composition of web information gathering and process modeling in a petri net modeling business processes a petri net oriented approach an ontology-based evaluation of process modeling with business process modeling in inspire using petri nets document about nc fairlane manuals is available on print from business process modeling to the specification of modeling of adaptive cyber physical systems using aspect petri net theory and the modeling of systems tbsh towards agent-based modeling and verification of a discussion of object-oriented process modeling modeling and simulation versions of business process using workflow modeling for virtual enterprise: a petri net simulation of it service processes with petri-nets george mason university the volgenau school of engineering process-oriented business performance management with syst 620 / ece 673 discrete event systems general knowledge questions answers on india tool-based business process modeling using the som approach income/w f a petri net based approach to w orkflow segment 2 exam study guide world history jbacs specifying business processes over objects rd.springer english june exam 2013 question paper 3 nulet
Impact of social network structure on content propagation : A study using YouTube data

We study how the size and structure of the local network around a node affects the aggregate diffusion of products seeded by it. We examine this in the context of YouTube, the popular video-sharing site. We address the endogeneity problems common to this setting by using a rich dataset and a careful estimation methodology. We empirically demonstrate that the size and structure of an author’s local network is a significant driver of the popularity of videos seeded by her, even after controlling for observed and unobserved video characteristics, unobserved author characteristics, and endogenous network formation. Our findings are distinct from those in the peer effects literature, which examines neighborhood effects on individual behavior, since we document the causal relationship between a node’s local network position and the global diffusion of products seeded by it. Our results provide guidelines for identifying seeds that provide the best return on investment, thereby aiding managers conducting buzz marketing campaigns on social media forums. Further, our study sheds light on the other substantive factors that affect video consumption on YouTube.
Socially Assistive Robots: The Link between Personality, Empathy, Physiological Signals, and Task Performance

This paper describes a hands-off socially assistive therapist robot designed for monitoring, assisting, encouraging, and socially interacting with users engaged in rehabilitation exercises. We investigate the role of the robot’s personality, empathy, and physiological signals in the hands-off therapy process, focusing mainly on the relationship between the level of extroversion-introversion of the robot and the user. We also demonstrate a behavior adaptation system capable of adjusting its social interaction parameters toward customized rehabilitation therapy based on the user’s personality traits and task performance. The experiments validate our hypotheses of mapping the user’s extroversionintroversion personality dimension to a spectrum of robot therapy styles that range from challenging to nurturing and of adapting the robot’s therapy styles based on user personality and performance.
Exploiting Syntactico-Semantic Structures for Relation Extraction

In this paper, we observe that there exists a second dimension to the relation extraction (RE) problem that is orthogonal to the relation type dimension. We show that most of these second dimensional structures are relatively constrained and not difficult to identify. We propose a novel algorithmic approach to RE that starts by first identifying these structures and then, within these, identifying the semantic type of the relation. In the real RE problem where relation arguments need to be identified, exploiting these structures also allows reducing pipelined propagated errors. We show that this RE framework provides significant improvement in RE performance.
Cultural dimensions and social behavior correlates : Individualism-Collectivism and Power Distance Titre

This study presents the macrosocial and macropsychological correlates of two cultural dimensions, Individualism-Collectivism and Hierarchy, based on a review of cross-cultural research. Correlations between the culturelevel value scores provided by Hofstede, Schwartz and Trompenaars and nation-level indices confirm their criterion validity. Thus power distance and collectivism are correlated with low social development (HDI index), income differences (Gini index), the socio-political corruption index, and the competitiveness index. The predominantly Protestant societies are more individualist and egalitarian, the Confucianist societies are more collectivist; and Islamic sociRésumé Cette étude présente les facteurs macro-sociaux et macro-psychologiques de deux dimensions culturelles, l’Individualisme-Collectivisme et la Hiérarchie ou Distance au Pouvoir, dimensions basées sur certaines révisions des recherches dans le domaine transculturel. Les corrélations entre les valeurs, au niveau culturel, fournies par Hofstede, Schwartz et Trompenaars, et des index socio-économiques confirment la validité de ces dimensions. La distance de pouvoir et le collectivisme sont associés au bas développement social (indice HDI), aux différences de revenus (indice Gini), à l’indice de corruption sociopolitique et de compétitivité. Les sociétés majoritairement protestantes sont plus individualistes et égalitaires, les sociétés confuciaMots-clés Culture, Individualisme, Collectivisme, Distance au Pouvoir o Hierarchie Key-words Culture, Individualism, Collectivism, Power Distance Correspondence concerning this article should be addressed either to Nekane Basabe, Universidad del País Vasco, Departamento de Psicología Social, Paseo de la Universidad, 7, 01006 Vitoria, Spain; or to Maria Ros, Universidad Complutense, Departamento Psicología Social, 28023 Madrid, Spain. Request for reprints should be directed to Nekane Basabe (email pspbaban@vf.ehu.es) or Maria Ros (mros@cps.ucm.es) This study was supported by the following Basque Country University Research Grants MCYT BSO2001-1236-CO-7-01, 9/UPV00109.231-13645/2001, from the University of the Basque Country and Spanish Government.  Nekane Basabe, University of the Basque Country, San Sebastián, Spain.  María Ros, Complutense University of Madrid, Madrid, Spain. MEP 1/2005 18/04/05 17:47 Page 189
1|A Kalman filter-based algorithm for IMU-camera calibration

can provide precise state estimates for the 3D motion of a vehicle when no external references (e.g., GPS) are available. This is achieved by combining inertial measurements from an IMU with visual observations from a camera under the assumption that the rigid transformation between the two sensors is known. Errors in the IMU-camera calibration process causes biases that reduce the accuracy of the estimation process and can even lead to divergence. In this paper, we present a Kalman filter-based algorithm for precisely determining the unknown transformation between a camera and an IMU. Contrary to previous approaches, we explicitly account for the time correlations of the IMU measurements and provide a figure of merit (covariance) for the estimated transformation. The proposed method does not require any special hardware (such as spin table or 3D laser scanner) except a calibration target. Simulation and experimental results are presented that validate the proposed method and quantify its accuracy.
Indicative Tweet Generation: An Extractive Summarization Problem?

Social media such as Twitter have become an important method of communication, with potential opportunities for NLG to facilitate the generation of social media content. We focus on the generation of indicative tweets that contain a link to an external web page. While it is natural and tempting to view the linked web page as the source text from which the tweet is generated in an extractive summarization setting, it is unclear to what extent actual indicative tweets behave like extractive summaries. We collect a corpus of indicative tweets with their associated articles and investigate to what extent they can be derived from the articles using extractive methods. We also consider the impact of the formality and genre of the article. Our results demonstrate the limits of viewing indicative tweet generation as extractive summarization, and point to the need for the development of a methodology for tweet generation that is sensitive to genre-specific issues.
Next generation 650V CSTBTTM with improved SOA fabricated by an advanced thin wafer technology

Using an advanced thin wafer technology, we have successfully fabricated the next generation 650V class IGBT with an improved SOA and maintaining the narrow distribution of the electrical characteristics for industrial applications. The applied techniques were the finer pattern transistor cell, the thin wafer process and the optimized back side doping concentration profiles. With the well organized back-side wafer process, the practically large chip has achieved without any sacrifice of the production yield. As a results, VCEsat-Eoff trade-off relationship and an Energy of Short Circuit by active Area (ESC/A) are improved in comparison with the conventional Punch Through (PT) structure.
Automatic soccer video analysis and summarization

We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The proposed framework includes some novel low-level processing algorithms, such as dominant color region detection, robust shot boundary detection, and shot classification, as well as some higher-level algorithms for goal detection, referee detection, and penalty-box detection. The system can output three types of summaries: i) all slow-motion segments in a game; ii) all goals in a game; iii) slow-motion segments classified according to object-based features. The first two types of summaries are based on cinematic features only for speedy processing, while the summaries of the last type contain higher-level semantics. The proposed framework is efficient, effective, and robust. It is efficient in the sense that there is no need to compute object-based features when cinematic features are sufficient for the detection of certain events, e.g., goals in soccer. It is effective in the sense that the framework can also employ object-based features when needed to increase accuracy (at the expense of more computation). The efficiency, effectiveness, and robustness of the proposed framework are demonstrated over a large data set, consisting of more than 13 hours of soccer video, captured in different countries and under different conditions.
Compressive Sensing MRI with Wavelet Tree Sparsity

In Compressive Sensing Magnetic Resonance Imaging (CS-MRI), one can reconstruct a MR image with good quality from only a small number of measurements. This can significantly reduce MR scanning time. According to structured sparsity theory, the measurements can be further reduced to O(K + log n) for tree-sparse data instead of O(K +K log n) for standard K-sparse data with length n. However, few of existing algorithms have utilized this for CS-MRI, while most of them model the problem with total variation and wavelet sparse regularization. On the other side, some algorithms have been proposed for tree sparse regularization, but few of them have validated the benefit of wavelet tree structure in CS-MRI. In this paper, we propose a fast convex optimization algorithm to improve CS-MRI. Wavelet sparsity, gradient sparsity and tree sparsity are all considered in our model for real MR images. The original complex problem is decomposed into three simpler subproblems then each of the subproblems can be efficiently solved with an iterative scheme. Numerous experiments have been conducted and show that the proposed algorithm outperforms the state-of-the-art CS-MRI algorithms, and gain better reconstructions results on real MR images than general tree based solvers or algorithms.
CHARM++: A Portable Concurrent Object Oriented System Based On C++

We describe Charm++, an object oriented portable parallel programming language based on Cff. Its design philosophy, implementation, sample applications and their performance on various parallel machines are described. Charm++ is an explicitly parallel language consisting of Cft with a few extensions. It provides a clear separation between sequential and parallel objects. The execution model of Charm++ is message driven, thus helping one write programs that are latencytolerant. The language supports multiple inheritance, dynamic binding, overloading, strong typing, and reuse for parallel objects. Charm++ provides specific modes for sharing information between parallel objects. Extensive dynamic load balancing strategies are provided. It is based on the Charm parallel programming system, and its runtime system implementation reuses most of the runtime system for Charm.
Exploiting ranking factorization machines for microblog retrieval

Learning to rank method has been proposed for practical application in the field of information retrieval. When employing it in microblog retrieval, the significant interactions of various involved features are rarely considered. In this paper, we propose a Ranking Factorization Machine (Ranking FM) model, which applies Factorization Machine model to microblog ranking on basis of pairwise classification. In this way, our proposed model combines the generality of learning to rank framework with the advantages of factorization models in estimating interactions between features, leading to better retrieval performance. Moreover, three groups of features (content relevance features, semantic expansion features and quality features) and their interactions are utilized in the Ranking FM model with the methods of stochastic gradient descent and adaptive regularization for optimization. Experimental results demonstrate its superiority over several baseline systems on a real Twitter dataset in terms of P@30 and MAP metrics. Furthermore, it outperforms the best performing results in the TREC'12 Real-Time Search Task.
Investigating factors influencing local government decision makers while adopting integration technologies (IntTech)

The emergence of innovative and revolutionary Integration Technologies (IntTech) has highly influenced the Local Government Authorities (LGAs) in their decision-making process. LGAs that plan to adopt such IntTech may consider this as a serious investment. Advocates, however, claim that such IntTech have emerged to overcome the integration problems at all levels (e.g. data, object and process). With the emergence of electronic government (e-Government), LGAs have turned to IntTech to fully automate and offer their services on-line and integrate their IT infrastructures. While earlier research on the adoption of IntTech has considered several factors (e.g. pressure, technological, support, and financial), inadequate attention and resources have been applied in systematically investigating the individual, decision and organisational context factors, influencing top management’s decisions for adopting IntTech in LGAs. It is a highly considered phenomenon that the success of an organisation’s operations, relies heavily on understanding an individual’s attitudes and behaviours, the surrounding context and the type of decisions taken. Based on empirical evidence gathered through two intensive case studies, this paper attempts to investigate the factors that influence decision makers while adopting IntTech. The findings illustrate two different doctrines – one inclined and receptive towards taking risky decisions, the other disinclined. Several underlying rationales can be attributed to such mind-sets in LGAs. The authors aim to contribute to the body of knowledge by exploring the factors influencing top management’s decisionmaking process while adopting IntTech vital for facilitating LGAs’ operational reforms.