Miracle-dz/UniFAR-FTUs huggingface dataset:
Attending to Race (or Gender) Does Not Increase Race (or Gender) Aftereffects

Recent research has shown that attention can influence the strength of face aftereffects. For example, attending to changes in facial features increases the strength of identity and figural aftereffects relative to passive viewing (Rhodes et al., 2011). Here, we ask whether attending to a specific social dimension of a face (such as race or gender) influences the strength of face aftereffects along that dimension. Across three experiments, participants completed many single-shot face adaptation trials. In each trial, participants observed a computer-generated adapting face for 5 s while instructed to focus on either the race or gender of that adapting face. Adapting faces were either Asian and female or Caucasian and male. In Experiment 1, all trials included an intermediate question (IQ) following each adaptation period, soliciting a rating of the adapting face on the attended dimension (e.g., race). In Experiment 2, only half of the trials included this IQ, and in Experiment 3 only a quarter of the trials did. In all three experiments, participants were subsequently presented with a race- and gender-neutral face and asked to rate it on either the attended dimension (e.g., race, attention-congruent trials) or the unattended dimension (e.g., gender, attention-incongruent trials) using a seven-point scale. Overall, participants showed significant aftereffects in all conditions, manifesting as (i) higher Asian ratings of the neutral faces following Caucasian vs. Asian adapting faces and (ii) higher female ratings of neutral faces following male vs. female adapting faces. Intriguingly, although reaction times were shorter during attention-congruent vs. attention-incongruent trials, aftereffects were not stronger along attention-congruent than attention-incongruent dimensions. Our results suggest that attending to a facial dimension such as race or gender does not result in increased adaptation to that dimension.
Nonequilibrium relaxation of Bose-Einstein condensates: Real-time equations of motion and Ward identities

We present a field-theoretical method to obtain consistently the equations of motion for small amplitude condensate perturbations in a homogeneous Bose-condensed gas directly in real time. It is based on linear response, and combines the Schwinger-Keldysh formulation of nonequilibrium quantum field theory with the Nambu-Gorkov formalism of quasiparticle excitations in the condensed phase and the tadpole method in quantum field theory. This method leads to causal equations of motion that allow to study the nonequilibrium evolution as an initial value problem. It also allows to extract directly the Ward identities, which are a consequence of the underlying gauge symmetry and which in equilibrium lead to the Hugenholtz-Pines theorem. An explicit one-loop calculation of the equations of motion beyond the Hartree-Fock- Bogoliubov approximation reveals that the nonlocal, absorptive contributions to the self-energies corresponding to the Beliaev and Landau damping processes are necessary to fulfill the Ward identities \emph{in} or \emph{out} of equilibrium. It is argued that a consistent implementation at low temperatures must be based on the loop expansion, which is shown to fulfill the Ward identities order by order in perturbation theory.
Microwave planar quasi-elliptic dual mode filter

The design of microwave planar quasi-elliptic dual-mode filter is presented in this paper. The filter's design includes a novel quasi-elliptic dual mode filter design realized by using stepped impedance dual mode resonator with source-load coupling to give passband characteristics of two transmission zeros beyond the passband. In contrast with an elliptic filter, a quasi-elliptic filter will allow us to adjust our transmission zeros to any desired finite frequency for more selectivity. The design gives a sharp cut-off response with significant size and complexity reduction which are critical in modern communication system applications that require remarkable filter performances. The filter has the center frequency of 1GHz and the passband bandwidth designed to be less than 5%. The analysis and design of the filter are also presented with the simulated results to show the design feasibility.
The Multiple Dimensions of Role Ambiguity and Their Impact Upon Psychological and Behavioral Outcomes of Industrial Salespeople

Role ambiguity is often thought to be a pervasive aspect of boundary spanning and sales positions in marketing. Surprisingly, few studies have examined how various types or dimensions of role ambiguity impact the salespersons' psychological (e.g., job satisfaction, tension and commitment) and behavioral (e.g., performance and turnover) outcomes. Because proper intervention begins with an accurate assessment, the purpose of this paper is to measure the various types of role ambiguities experienced by industrial salespeople and to examine their relative effects on psychological and behavioral job outcomes. Specifically, we demonstrate how multidimensional role ambiguity can pinpoint specific dimensions of ambiguity that are dysfunctional to the salesperson and organization. The results underscore the managerial and theoretical insights obtained from utilizing a multidimensional view of role ambiguity as part of a broader survey for examining the dysfunctional effects of role ambiguity dimensions in sales or.
Behavioural Analyses of Quinine Processing in Choice, Feeding and Learning of Larval Drosophila

Gustatory stimuli can support both immediate reflexive behaviour, such as choice and feeding, and can drive internal reinforcement in associative learning. For larval Drosophila, we here provide a first systematic behavioural analysis of these functions with respect to quinine as a study case of a substance which humans report as “tasting bitter”. We describe the dose-effect functions for these different kinds of behaviour and find that a half-maximal effect of quinine to suppress feeding needs substantially higher quinine concentrations (2.0 mM) than is the case for internal reinforcement (0.6 mM). Interestingly, in previous studies (Niewalda et al. 2008, Schipanski et al 2008) we had found the reverse for sodium chloride and fructose/sucrose, such that dose-effect functions for those tastants were shifted towards lower concentrations for feeding as compared to reinforcement, arguing that the differences in dose-effect function between these behaviours do not reflect artefacts of the types of assay used. The current results regarding quinine thus provide a starting point to investigate how the gustatory system is organized on the cellular and/or molecular level to result in different behavioural tuning curves towards a bitter tastant.
Resource-Conscious AI Planning with Conjunctions and Disjunctions

The aim of this work is to develop a resource-conscious Artificial Intelligence (AI) planning system, which allows for nondeterminism in the environment. Such planner has a potential in applications where actions in "real world" are considered.The planning process is based on proof search for a fragment of Linear Logic (LL) [10] sequents using a subset of LL rules. As LL is resource-conscious and has additive disjunction connective (represents nondeterminism), LL sequents are used to describe an application domain, whereby every LL sequent represents pre- and postconditions of a particular action execution.We present an idea to use Petri net reachability tree analysis for finding proofs for propositional LL sequents. Game playing is used to solve LL additive disjunctions. From LL proofs plans are extracted which because of underlying LL properties keep track of resources and handle both deterministic and nondeterministic actions.
The Drosophila Protein Asp Is Involved in Microtubule Organization during Spindle Formation and Cytokinesis

Abnormal spindle (Asp) is a 220-kD microtubule-associated protein from Drosophila that has been suggested to be involved in microtubule nucleation from the centrosome. Here, we show that Asp is enriched at the poles of meiotic and mitotic spindles and localizes to the minus ends of central spindle microtubules. Localization to these structures is independent of a functional centrosome. Moreover, colchicine treatment disrupts Asp localization to the centrosome, indicating that Asp is not an integral centrosomal protein. In both meiotic and mitotic divisions of asp mutants, microtubule nucleation occurs from the centrosome, and γ-tubulin localizes correctly. However, spindle pole focusing and organization are severely affected. By examining cells that carry mutations both in asp and in asterless, a gene required for centrosome function, we have determined the role of Asp in the absence of centrosomes. Phenotypic analysis of these double mutants shows that Asp is required for the aggregation of microtubules into focused spindle poles, reinforcing the conclusion that its function at the spindle poles is independent of any putative role in microtubule nucleation. Our data also suggest that Asp has a role in the formation of the central spindle. The inability of asp mutants to correctly organize the central spindle leads to disruption of the contractile ring machinery and failure in cytokinesis.
Sketch-Based Branch Modeling from Images

Branch modeling is one of the most important aspects in plant modeling, as branches build the structure of a plant. In this paper, we present a new method for branch modeling from two or four registered images using particle flows. Several strokes are drawn to represent branches on each image and the system produces a 3D branch model automatically. A trace analysis approach is proposed to establish a group of particles’ initial positions. In perspective projection condition, 2D skeletons with calibration information are used to compute a 3D direction field, in which particles move downwards from tips to base point and form a 3D plant skeleton. The experiments on bonsai plants show that the branch model constructed by our method can reflect the actual shape and parameters of a real plant.
Experimental Evaluation of Methane Adsorptionon Granular Activated Carbon (GAC) and Determination of Model Isotherm

This study investigates the capacity of granular activated carbon (GAC) for the storage of methane through the equilibrium adsorption. An experimental apparatus consist of a dual adsorption vessel was set up for the measurement of equilibrium adsorption of methane on GAC using volumetric technique (pressure decay). Experimental isotherms of methane adsorption were determined by the measurement of equilibrium uptake of methane in different pressures (0-50 bar) and temperatures (285.15-328.15 ̊K). The experimental data was fitted to Freundlich and Langmuir equations to determine the model isotherm. The results show that the experimental data is equally well fitted by the both model isotherms. Using the experimental data obtained in different temperatures the isosteric heat of methane adsorption was also calculated by the Clausius-Clapeyron equation from the Sips isotherm model. Results of isosteric heat of adsorption show that decreasing temperature or increasing methane uptake by GAC decrease the isosteric heat of methane adsorption. Keywords—Methane adsorption, Activated carbon, Model isotherm, Isosteric heat
Use of Complementary and Alternative Medicine in Children with Cancer: A Study at a Swiss University Hospital

Background Though complementary and alternative medicine (CAM) are frequently used by children and adolescents with cancer, there is little information on how and why they use it. This study examined prevalence and methods of CAM, the therapists who applied it, reasons for and against using CAM and its perceived effectiveness. Parent-perceived communication was also evaluated. Parents were asked if medical staff provided information on CAM to patients, if parents reported use of CAM to physicians, and what attitude they thought physicians had toward CAM. Study Design All childhood cancer patients treated at the University Children’s Hospital Bern between 2002–2011 were retrospectively surveyed about their use of CAM. Results Data was collected from 133 patients (response rate: 52%). Of those, 53% had used CAM (mostly classical homeopathy) and 25% of patients received information about CAM from medical staff. Those diagnosed more recently were more likely to be informed about CAM options. The most frequent reason for choosing CAM was that parents thought it would improve the patient’s general condition. The most frequent reason for not using CAM was lack of information. Of those who used CAM, 87% perceived positive effects. Conclusions Since many pediatric oncology patients use CAM, patients’ needs should be addressed by open communication between families, treating oncologists and CAM therapists, which will allow parents to make informed and safe choices about using CAM.
TEXTURE ANALYSIS WITH LOCAL BINARY PATTERNS

The LBP operator is a theoretically simple yet very powerful method of analyzing textures. Through its recent extensions, it has been made into a really powerful measure of image texture, showing excellent results in terms of accuracy and computational complexity in many empirical studies. The LBP operator can be seen as a unifying approach to the traditionally divergent statistical and structural models of texture analysis. Texture is described in terms of micro-primitives (textons) and their statistical placement rules. Optionally, the primitives may be coupled with a complementary measure of local image contrast, which measures the strength of the primitives. In this chapter the relation of the LBP operator to other texture analysis methods is explained. The chapter shows how the LBP combines aspects of statistical and structural texture analysis, and why it is called a “unifying approach”. The theoretical foundation of the operator is explained starting from a definition of texture in a local neighborhood. A number of extensions to the basic operator are also introduced. The extensions include three different multi-scale models, an opponent color operator and a rotation invariant version. Finally, a number of successful applications of the operator are highlighted.
ON THE IMPORTANCE OF CONTEXT TO IMPROVE KNOWLEDGE DISCOVERY

In this paper, we propose an environment that assists a scientist working in an experimental field to take decisions to revise his knowledge by giving him contextual explanations. These contextual explanations regard the experimental data and contextual presentation of the tools’ results. K e y w o r d s : knowledge revision, modelling, explanation, knowledge revision, context . ________________________________________________________________
Resilience in the face of stress: emotion regulation as a protective factor

Introduction Everyone experiences stress at one time or another – from major events such as the death of a loved one, to more minor stressors such as financial difficulties. Not surprisingly, exposure to stress is generally associated with a wide range of negative outcomes, including decreased well-being, increased incidence of disease, post-traumatic stress disorder, generalized anxiety disorder, and major depressive disorder (Dohrenwend & Dohrenwend, 1974; Kendler et al., 1999; Monat et al., 2007). However, not all individuals who are exposed to even high levels of stress develop such negative outcomes. In fact, recent evidence suggests that a considerable number of individuals exhibit resilience, which is commonly defined as maintained or improved mental health in the face of stress, after short disruptions (if any) to normal functioning (Freitas & Downey, 1998; Rutter, 1999; Luthar et al., 2000; Bonanno, 2005). Note that this definition, which we adapt here, conceptualizes resilience as a potential outcome after exposure to stress rather than a psychological trait that leads to positive outcomes (c.f. Norris et al., 2008). It, therefore, appears that, in the face of comparable stressors, some individuals exhibit significantly impaired functioning while others show impressive resilience. Understanding the factors that govern the great individual variance in outcomes after stress is important for understanding mental health and for developing interventions and prevention programs that foster resilience. What factors, then, might predict resilience? One key to this question might lie in the fact that stressful events are inherently highly emotional (Sarason et al., 1978; Lazarus, 1999). For this reason, people’s ability to regulate emotions may be a critically important factor in determining resilience (Figure 2.1). The present chapter will review relevant literatures and suggest that there is indeed evidence to support this thesis. More specifically, we will propose that a specific type of emotion regulation, cognitive emotion regulation, holds particular promise for contributing to resilience.
A SAT Based Scheduler for Tournament Schedules

We present a scheduler with a web interface for generating fair game schedules of a tournament. The tournament can be either single or double round-robin or something in between. The search engine inside the scheduler is a SAT solver which can handle a mix of ordinary and TL (True-Literal) clauses. The latter are the formulas using the function TL which counts the number of true literals in a clause. By using TL clauses, we could solve a typical scheduling problem in a few of seconds. If we convert them into ordinary clauses, the state-of-the-art SAT solvers could not solve them in one week. We showed how to integrate TL clauses into a SAT solver and take advantages of the advanced SAT techniques. Our scheduler provides a free service to all the people who are interested in fair sports schedules.
Large-scale wind structures in OB-supergiants: a search for rotationally modulated Hα variability

We present the results of a long-term monitoring campaign of the Hline in a sample of bright OB-supergiants (O7.5-B9) that aims at detecting rotationally modulated changes potentially related to the existence of large-scale wind structures. A total of 22 objects were monitored during 36 nights spread over 6 months in 2001-2002. Co- ordinated broad-band photometric observations were also obtained for some targets. Conspicuous evidence for variability in His found for the stars displaying a fea- ture contaminated by wind emission. Most changes take place on a daily time-scale, although hourly variations are also occasionally detected. Convincing evidence for a cyclical pattern of variability in Hhas been found in 2 stars: HD 14134 and HD 42087 (periodic signals are also detected in other stars, but independent confirmation is re- quired). Rotational modulation is suggested from the similarity between the observed recurrence time-scales (in the range 13-25 days) and estimated periods of stellar rota- tion. We call attention to the atypical case of HD 14134 which exhibits a clear 12.8-d periodicity both in the photometric and in the spectroscopic data sets. This places this object among a handful of early-type stars where one may observe a clear link between extended wind structures and photospheric disturbances. Further modelling may test the hypothesis that azimuthally-extended wind streams are responsible for the patterns of spectral variability in our target stars.
The Relationship Between Emotional and Social Intelligence and Conflict Management Behavior in Leadership

The purpose of this work was to evaluate the relationship between emotional and social intelligence (ESI) and the conflict management behavior (CMB) of lower level members of management or managers in training in a public sector organization in a country in the British Caribbean. The instruments that were utilized were SPSS, the Emotional Intelligence Appraisal-Me Version, and the Conflict Dynamic ProfileIndividual (CDP-I). In all cases, due to non-normality, Spearman’s rho was used in order to test the five hypotheses incorporated within this study. The Spearman rho, which is also known as the Pearson correlation coefficient between ranked variables, is a nonparametric measure of statistical dependence between variables, which assesses how well the relationship between the independent variable of ESI and the dependent variable of CMB, can be described through the employment of a monotonic function. The results of this research highlighted the influence that the emotional & social intelligence of a leader may have on his or her ability to manage interpersonal conflict between subordinates effectively, and to display personalized deliberations that move toward the reduction of workplace conflict.
AGREEMENT NEGOTIATION FOR REACHING THE RIGHT LEVEL OF PRIVACY

In this article, we present new ways of establishing and enforcing binding agreements with third-parties for personal privacy protection, regulating the way the data is being used after initial collection. For that, we present a novel model of privacy enforcement, complementing the notion of enterprise privacy with the incorporation of an extra level of privacy enforcement, called personal privacy enforcement. The core idea is twofold: First, to allow users of a pervasive service to negotiate the desired level of privacy in a rather automated and simple way before using the service and thereby granting access to personal data; and secondly, to track and monitor the whole life-cycle of data after it was released. For this we introduce the specification and use of an agreement negotiation protocol on a set of obligations, which is described in this article.
Vertical stealing: robust, locality-aware do-all workload distribution for 3D MPSoCs

In this paper we address the issue of efficient doall workload distribution on a embedded 3D MPSoC. 3D stacking technology enables low latency and high bandwidth access to multiple, large memory banks in close spatial proximity. In our implementation one silicon layer contains multiple processors, whereas one or more DRAM layers on top host a NUMA memory subsystem. To obtain high locality and balanced workload we consider a two-step approach. First, a compiler pass analyzes memory references in a loop and schedules each iteration to the processor owning the most frequently accessed data. Second, if locality-aware loop parallelization has generated unbalanced workload we allow idle processors to execute part of the remaining work from neighbors by implementing runtime support for work stealing.
Distributed Compression with Selfish Terminals: Correlation Induces Anarchy

A hanging rack includes a support member and at least one hanger which is removably attached to the support member. The support member is provided with an internal receptacle having a receiving station adapted to releasably receive a plug attached to the hanger. The receptacle also includes a locking station which communicates with the receiving station such that the plug can be moved from the receiving station to the locking station, where it is releasably locked in place.
Multivariate calibration stability: a comparison of methods

In the multivariate calibration framework we revisit and investigate the prediction performance of three high‐dimensional modeling strategies: partial least squares, principal component regression and P‐spline signal regression. Specifically we are interested in comparing the stability and robustness of prediction under differing conditions, e.g. training the model under one temperature and using it to predict under differing temperatures. An example illustrates stability comparisons. Copyright © 2002 John Wiley & Sons, Ltd.