Miracle-dz/UniFAR-FTUs huggingface dataset:
Personality and Social Psychology Bulletin Neighbors Et Al. / Motivation and Driving Anger a Motivational Model of Driving Anger and Aggression

This article proposed a motivational model of driving anger and aggression, derived from self-determination theory, suggesting that trait motivation affects motivation in specific driving situations , which in turn predicts driving anger and subsequent aggression. Individuals higher in controlled orientation were predicted to experience more feelings of pressure and ego-defen-siveness while driving, leading to more anger and aggression. Participants included 111 individuals who kept structured daily records of all instances in which they experienced driving anger throughout a 10-day period. Participants reported experiencing anger on slightly more than a daily basis, on average, and responding with varying levels of aggression. Results provided strong support for the authors' motivational framework suggesting that individuals who generally feel controlled tend to experience more pressure and ego-defensiveness, which leads to more anger and aggression while driving. Aggressive driving has become an increasingly common occurrence (American Automobile Association, 1997). Although many states have responded by enacting legislation aimed at curtailing aggressive driving (Rathbone & Huckabee, 1999), research focusing on the etiology of aggressive driving and what makes some people more aggressive than others continues to be sparse. Previous efforts to identify predictors of driving anger and aggression have examined both situational and personality explanations but have typically been theoretically lean. The majority of research examining situations has explored the impact of traffic congestion or travel impedance, which is conceptually similar. The frustration aggression link (Dollard, Doob, Miller, Mowrer, & Sears, 1939) has been offered as a reasonable explanation for the link between traffic congestion and aggressive behavior (Shinar, 1998). More recent theoretical accounts of frustration-aggression suggest that the causal link between congestion and aggression is likely due to the activation of negative affect and anger (Berkowitz, 1993). In support of this perspective, traffic congestion and travel impedance have been linked to higher levels of aggressive driving Personality explanations of driving anger have tended to endorse a state-trait approach when explaining driving anger and aggression. Deffenbacher and colleagues have identified trait differences in driving anger (Deffenbacher, Oetting, & Lynch, 1994) and have shown that individuals who are higher in trait driving anger experience more frequent and intense anger, more aggressive and risky driving behavior, and have more accidents (Deffenbacher, Huff, Lynch, Oetting, & Salvatore, 2000). Similarly, trait differences in driving stress have been positively associated with state stress while driving (Hennessy & Wiesenthal, 1997, 1999). An extension of this approach is the notion that trait driving …
The Human Embryonic Stem Cells Transcriptome: How Much Do We Know?

The establishment of human embryonic stem cell (hESC) lines in 1998 served to set the pace for understanding the molecular biology behind the two hallmark features of stem cells: self renewal and pluripotency. The excitement was generated in the hope that understanding the molecular biology of hESCs would provide a good model for studying early human development, disease and drug discovery and also hold the promise for providing a cure for degenerative human diseases. In spite of the large number of studies, the molecular basis of pluripotency has remained a matter of intrigue ever since the embryonic stem cells (ESCs) were first identified. A considerable percentage of these studies have been transcriptome-based. Interestingly, significant differences are seen not only between mouse and human ESC transcriptomes but also amongst the hESC studies. Nevertheless, a key set of pluripotency genes seem to be common, reinforcing the utility of transcriptome-based approaches in identifying the molecular basis of pluripotency in hESCs.
Discrimination and Workers ’ Expectations

The paper explores the role of workers’ expectations as an original explanation for the puzzling long run persistence of observed discrimination against some minorities in the labor market. A game of incomplete information is presented, showing that ex ante identical groups of workers may be characterized by unequal outcomes in equilibrium due to their di¤erent beliefs, even though discriminatory tastes and statistical discrimination by employers have disappeared. Wrong beliefs of being discriminated against are self-con.rming in this circumstance, being the ultimate cause of a lower percentage of promotions which supports these wrong beliefs.
Spreading Effect of tDCS in Individuals with Attention-Deficit/Hyperactivity Disorder as Shown by Functional Cortical Networks: A Randomized, Double-Blind, Sham-Controlled Trial

Background Transcranial direct current stimulation (tDCS) is known to modulate spontaneous neural network excitability. The cognitive improvement observed in previous trials raises the potential of this technique as a possible therapeutic tool for use in attention-deficit/hyperactivity disorder (ADHD) population. However, to explore the potential of this technique as a treatment approach, the functional parameters of brain connectivity and the extent of its effects need to be more fully investigated. Objective The aim of this study was to investigate a functional cortical network (FCN) model based on electroencephalographic activity for studying the dynamic patterns of brain connectivity modulated by tDCS and the distribution of its effects in individuals with ADHD. Methods Sixty ADHD patients participated in a parallel, randomized, double-blind, sham-controlled trial. Individuals underwent a single session of sham or anodal tDCS at 1 mA of current intensity over the left dorsolateral prefrontal cortex for 20 min. The acute effects of stimulation on brain connectivity were assessed using the FCN model based on electroencephalography activity. Results Comparing the weighted node degree within groups prior to and following the intervention, a statistically significant difference was found in the electrodes located on the target and correlated areas in the active group (p < 0.05), while no statistically significant results were found in the sham group (p ≥ 0.05; paired-sample Wilcoxon signed-rank test). Conclusion Anodal tDCS increased functional brain connectivity in individuals with ADHD compared to data recorded in the baseline resting state. In addition, although some studies have suggested that the effects of tDCS are selective, the present findings show that its modulatory activity spreads. Further studies need to be performed to investigate the dynamic patterns and physiological mechanisms underlying the modulatory effects of tDCS. Trial Registration ClinicalTrials.gov NCT01968512.
Efficiency research of batch and single pattern MLP parallel training algorithms

The development of parallel algorithms for batch and single pattern back propagation training of a multilayer perceptron and the research of their efficiency on a general-purpose parallel computer are presented in this paper. The multilayer perceptron model and the sequential batch and single pattern training algorithms are theoretically described. An algorithmic description of the parallel versions of the batch and single pattern training methods are specified. The efficiencies of the developed parallel algorithms are investigated by progressively increasing the dimension of the parallelized problem on a general-purpose parallel computer NEC TX-7.
Information Extraction by Two Dimensional Parser

This paper proposes a learning algorithm for a two dimensional parser. The parser is designed to analyze page layout of documents and extract information using both textual and layout information. The parsing rules are expressed by an extended stochastic context free grammar that decomposes tokens located in two dimensional space both horizontally and vertically. In this paper we focus on the learning aspect of the parser and propose a learning algorithm based on the expectation maximization technique where the dynamic programming (DP) technique is used for efficient process. We apply the proposed algorithm to acquire a stochastic parser for information extraction from scanned document images and show that learned stochastic grammar extracts bibliographic data with high accuracy.
Effect on Torque and Thrust of the Pointed Tip Shape of a Wind Turbine Blade

This paper presents the effect of the tip shape of a wind turbine blade on aerodynamic forces, including the effects of separation, transition and stall. A National Renewable Energy Laboratory (NREL) Phase-VI wind turbine blade was used, in which the shape of the tip was modified to a pointed tip. Computational fluid dynamics (CFD) simulations were employed for the analysis and the results were compared with the original NREL blade CFD and experimental data using ANSYS CFX (Ansys Inc., Delaware, PA, USA). To predict the separation and separation-induced transition on both near wall and far away, the shear-stress-transport (SST) Gamma-Theta turbulent model was used. The stall onset of a 20° angle of attack and its effects were also analyzed and presented. The value of torque with the pointed tip blade was found to be 3%–8% higher than the original NREL blade showing the benefit of the pointed tip. Normal force coefficient is lower at the tip for the pointed tip blade, which results in lower deformation of the blade. It was found that the pointed-tip blade is more efficient in terms of generating torque than the original NREL Phase-VI blade in the dynamic stall region of 10–15 m/s wind speeds.
Technology-use mediation: making sense of electronic communication in an organizational context

This study analyzes how a group of 'mediators' in a large, multinational company adapted a computer-mediated communication technology (a 'virtual workspace') to the local organizational context (and vice versa) by modifying features of the technology, providing ongoing support for users, and promoting appropriate conventions of use. Our findings corroborate earlier research on technology-use mediation, which suggests that such mediators can exert considerable influence on how a particular technology will be established and used in an organization. However, this study also indicates that the process of technology-use mediation is more complex and indeterminate than earlier literature suggests. In particular, we want to draw attention to the fact that advanced computer-mediated communication technologies are equivocal and that technology-use mediation consequently requires ongoing sensemaking.
Realistic Rendering of Knitwear

Efficient and realistic rendering of knitwear is of great interest especially in the context of e- commerce. Computing geometry play key role in the generation of realistic images, and also has important application in real-time rendering. This paper presents a method for rendering realistic knitwear. Triangles are used to subdivide the yarn surface so that graphics can be obtained quickly and efficiently.
Challenges in Synthesizing Fast Control-Dominated Circuits

Presenting designers with higher-level specification languages is one sure way to improve productivity, but the more abstract the language, the higher the compiler’s optimization burden. We consider generating efficient controller circuits from descriptions written in Esterel. To understand the demands of scalable optimization algorithms, we manually matched the results from sequential synthesis algorithms that produce good circuits but are costly or impossible to run on large designs. We hoped the high-level structure of Esterel would suggest inexpensive, effective optimizations, but our results are mixed. In the five examples we considered, many optimizations clearly could be automated cheaply, but we needed more global information to match the quality of the existing automatic techniques. This suggests an effective solution would have to combine both local and (potentially costly) global techniques.
RD-optimization of hierarchical structured adaptive vector quantization for video coding

Summary form only given. This poster contains two contributions to very-low-bitrate video coding. First, we show that in contrast to common practice incremental techniques for rate-distortion optimization such as the generalized BFOS algorithm may clearly outperform the standard technique based on Lagrangian multipliers. This is relevant in cases where the computation of RD points has a low complexity. An implementation independent performance measure is used for comparison and run-time experiments are provided. Second, we report on recent progress of our ongoing research evaluating the prospects of adaptive vector quantization (AVQ) for very-low-bitrate video coding. In contrast to conventional state-of-the-art video coding based on entropy coding of motion compensated residual frames in the frequency domain, adaptive vector quantization offers the potential to adapt its codebooks to the changing statistics of image sequences. The basic building blocks of our current AVQ video codec are: (1) block-based coding in the wavelet domain where wavelet coefficients correspond to (overlapping) spatial regions; (2) hierarchical organization of the wavelet coefficients using quadtree structures; (3) three way coding mode decision for each block (block replenishment, product code vector quantization, new VQ block with codebook update); and (4) rigorous rate/distortion optimization for all coding choices (image partition and block coding mode). This video codec does not apply motion compensation, however. A comparison with standard transform coding (H.263) shows that in spite of the improvements of our coder over previously published AVQ video coders it still shows a performance gap of about 1 dB for some test sequences.
Bi-adaptive algorithm for efficient and feature preserving mesh denoising

In this paper we define a new bi-adaptive mesh denoising algorithm for efficient features preserving restoration of noisy models acquired from 3D scanners. The new filter is based on two recently introduced adaptive algorithms for triangle mesh denoising which show good results over previous methods. We adapt the MMSE filter noise threshold adaptive equation to compute new triangles normal vector on a SUSAN restricted neighborhood computed on triangles. We compare our bi-adaptive algorithm results to MMSE, SUSAN and other filtering algorithms according to reliable error metrics and show the new filter outperforms previous efficient and adaptive mesh denoising methods.
Information processing in buried pipeline leak detection system

Detecting leak noises of buried pipelines is the most effective method of pinpointing a leak or leaks in buried pipelines. However, the acquired leak signals are usually blurred with ambient noises and therefore they have low signal-to-noise ratio. It is essential to use appropriate information processing scheme in order to acquire the leak signatures. The sensors are positioned on either side of the suspected leak position. By estimating the time delay between the two sensor signals, the leak can be localized. However the features of leak noise vary with the materials, sizes and inbuilt conditions of pipes. It is difficult to predetermine the spectral knowledge of a leak noise. The spectral knowledge is a prerequisite for the commonly used generalized correlation method to get the time delay estimation between the sensor signals. Here, the LMS adaptive filter is used to determine the time delay. As leak noise is stationary, the mean response of the LMS adaptive filter can converge to the discrete Winner filter and be peaked at the delay. This way, the estimation is adaptive and does not depend on either the spectrum of leak noise or the spectra of ambient noises. In practice, bursting interferences are inevitable where detection operates. The bursting interferences produce nonstationary characteristics in a signal and in turn result in diverging of the adaptive filtering process. The Wavelet decomposition and thresholding is deployed to remove the bursting interferences and recover the stationary behaviors.
Automatic runtime recovery via error handler synthesis

Software systems are often subject to unexpected runtime errors. Automatic runtime recovery (ARR) techniques aim to recover them from erroneous states and maintain them functional in the field. This paper proposes Ares, a novel, practical approach for ARR. Our key insight is leveraging a system's inherent error handling support to recover from unexpected errors. To this end, we synthesize error handlers in two ways: error transformation and early return. We also equip Ares with a lightweight in-vivo testing infrastructure to select the promising synthesis method and avoid potentially dangerous error handlers. Unlike existing ARR techniques with heavyweight mechanisms (e.g., checkpoint-restart and runtime monitoring), our approach expands the intrinsic capability of runtime error resilience in software systems to handle unexpected errors. Ares's lightweight mechanism makes it practical and easy to be integrated into production environments. We have implemented Ares on top of both the Java HotSpot VM and Android ART, and applied it to recover from 52 real-world bugs. The results are promising - Ares successfully recovers from 39 of them and incurs negligible overhead.
Blockage effects on joint information & energy transfer in directional ad-hoc networks

The impact of blockages in the performance of next generation wireless networks has recently attracted a lot of attention. In this case, the existence of blockages can provide performance gains as the aggregate interference at a receiver is reduced. Furthermore, the employment of directional antennas at the network's nodes can further boost the performance through the power gains which antenna directionality produces. However, the impact of blockages on wireless power transfer has not been investigated equally. In this paper, we consider a bipolar ad-hoc network where the nodes employ directional antennas and have simultaneous wireless information and power transfer capabilities. We study the effects of blockages and directionality on the energy harvested by a receiver and show that the performance gains from the existence of blockages can be adjusted in order to increase the average harvested energy.
Low-Cost Integrated Microwave Radiometer Front-End for Industrial Applications

The present paper experimentally investigates the potentialities of low-cost technologies (0.35-¿ m SiGe BiCMOS technology for the electronics and microstrip technology for the antenna) for the fabrication of a radiometer front-end working in the X-band. The design and the characterization of the electronics receiver and of the antenna are described. In particular, after analog continuous-wave characterizations of electronics and antenna, a benchmark experiment is reported, where electronics and antenna are tested together under conditions close to that of a radiometer test, in order to evaluate the capabilities of the obtained front-end prototype in a complete radiometer.
Heritage and Exchanges. Multilinguial and Intercultural Approaches in Training Context

This book represents the proceedings of an international seminar held at the University of La Reunion in November 2014, the outcome of a pluridisciplinary project bringing together a number of research centres, including the Federation of Research Centers Observatoire Scientifique de Ocean Indien, CALTS Hyderabad, and AUSTRALEX Adelaide. Offering a reflection on scholarship and plural identity constructions, with a specific focus on the Indian Ocean area, the book provides an in-depth discussion of the concepts of “heritage and exchanges” in Indian Ocean countries. The volume is divided into two parts, with the first section, focusing on the concept of heritage, examining intercultural and multilingual legacies which influence the construction and evolution of identity at the level of the individual. The second section deals with the notion and dynamics of exchange, regarding both educational policies in multilingual and intercultural contexts and multilingual and intercultural language learning processes. The heritage and exchanges explored throughout the volume attest to cultural and linguistic pluralities which are part of languages and cultures in contact, but which also reveal a plural yet partitioned world, influenced by subjective representations.
THE LIMITS OF SERVICE OPERATIONS OUTSOURCING FROM THE RESOURCE-BASED VIEW : EMPIRICAL EVIDENCE IN THE HOTEL SECTOR

The objective of this work is to examine, from the resource-based view of the firm, the relationship between the propensity to outsource hotel services and outsourcing’s capacity for being a source of competitive advantage. The work also analyzes the strategic risks that restrict the use of service outsourcing. The results enable services to be classified according to their capacity for being a source of competitive advantage. They also confirm that services forming part of the core competencies, that is, those that are valuable, rare, and non-substitutable and that allow rents to be appropriated, are outsourced less than those that do not meet those conditions as given by Barney (1991). They show that the main drawbacks or risks limiting outsourcing are basically related to the loss of control and autonomy and distrust of suppliers, rather than its possible influence on loss of competitive advantage.
Effective Ranking Fusion Methods for Personalized Metasearch Engines

Metasearch engines are a significant part of the information retrieval process. Most of Web users use them directly or indirectly to access information from more than one data sources. The cornerstone of their technology is their rank aggregation method, which is the algorithm they use to classify the collected results. In this paper we present three new rank aggregation methods. At first, we propose a method that takes into consideration the regional data for the user and the pages and assigns scores according to a variety of user defined parameters. In the second expansion, not all component engines are treated equally. The user is free to define the importance of each engine by setting appropriate weights. The third algorithm is designed to classify pages having URLs that contain subdomains. The three presented methods are combined into a single, personalized scoring formula, the global KE. All algorithms have been implemented in QuadSearch, an experimental metasearch engine available at http://quadsearch.csd. auth.gr.
Distributed scheduling for unmanned aerial vehicle networks with full-duplex radios and multi-packet reception

Applications of unmanned aerial vehicle (UAV) ad-hoc networks have raised challenges in the design of distributed scheduling schemes since those applications require stringent quality of service (QoS) in complicated environments. Most existing scheduling designs for UAV ad-hoc networks are based on traditional physical layer techniques, such as half-duplex radios without multi-packet reception capability. However, recent advances in interference cancellation and signal processing techniques can enable full-duplex radios (FDR) and multi-packet reception (MPR) capability, which will have significant impacts on the design of link layer algorithm, especially scheduling. In this paper, we study the distributed scheduling issue in UAV ad-hoc networks with FDRs and MPR capability. The distributed scheduling problem in the presence of perfect and imperfect channel state information are formulated as a combinatorial optimization problem and a discrete stochastic optimization problem, respectively. Simulation results show that physical layer FDR and MPR capability have significant impacts on the performance of UAV ad-hoc networks. We also investigate the convergence property of proposed scheme and the effect of channel estimiation errors.