Miracle-dz/UniFAR-FTUs huggingface dataset:
A minimizing principle for the Poisson-Boltzmann equation

The Poisson-Boltzmann equation is often presented via a variational formulation based on the electrostatic potential. However, the functional has the defect of being non-convex. It cannot be used as a local minimization principle while coupled to other dynamic degrees of freedom. We formulate a convex dual functional which is numerically equivalent at its minimum and which is more suited to local optimization.
Technology Advantage and Trade: Home Market Effects Revisited

According to conventional home market effects, free trade tends to shrink the market share for the smaller economy in the differentiated manufacturing goods, and in the extreme, leads to a complete hollowing out of the industry. In departing from the original Helpman-Krugman modeling assumptions behind the home market effects, we introduce technology differences between trading partners and prove that the home market effects will be offset and will even reverse if the small economy has better technology than the other country. We also prove that even with identical country size, the intra-industry trade addressed in the existing literature may not occur; it will occur only if the technology differential lies within a certain range that is positively affected by the level of transport cost.
Inclusive Engineering Identities; Two New Surveys to Assess First-Year Students' Inclusive Values and Behaviors

Inclusive Engineering Identities; Two New Surveys to Assess First-Year Students’ Inclusive Values and Behaviors Dr. Karen E. Rambo-Hernandez, West Virginia University Karen E. Rambo-Hernandez is an assistant professor of educational psychology in the department of Learning Sciences and Human Development in the College of Education and Human Services at West Virginia University. In her research, she is interested the assessment of student learningparticularly the assessment of academic growth, advanced statistical modeling, issues related to diversity and inclusion in engineering, and the evaluation of curricular changes. Dr. Rebecca A. Atadero, Colorado State University Rebecca Atadero is an associate professor in the Department of Civil and Environmental Engineering at Colorado State University, specializing in structural engineering. She conducts research on the inspection, management and renewal of existing structures, and on engineering education. Dr. Christina Paguyo, Colorado State University Christina H. Paguyo, PhD, is a postdoctoral fellow in the College of Engineering at Colorado State University. Her research interests focus on mixed methods approaches for designing and examining educational environments grounded in research, theory, and equity. She has co-authored peer-reviewed articles published in the Peabody Journal of Education and the Encyclopedia of Diversity in Education. Mr. Jeremy Clinton Schwartz, West Virginia University Jeremy C. Schwartz is a first-year Doctor of Audiology (Au.D.) student at West Virginia University.
Direct flux control – sensorless control method of PMSM for all speeds – basics and constraints

The limitations of sensorless control of permanent magnet synchronous machines (PMSMs) are discussed and a viable solution is proposed. The main concept of sensorless control of drives relies on additional information given by the machine during its normal operation. This information provided by the machine is essentially the back-electro motive force and the variance of the stator inductivity, which are dependent on the rotor position. Several approaches and methods have discussed these problems, and in most cases they are not avoidable and that some methods work better on certain speeds of the drives. The direct flux control (DFC) method to combat the above problems at all speeds is presented. The flux linkage signal which contains the necessary information about the rotor position can be measured between the neutral point of a PMSM and an artificial one. The mathematical derivation and the observations from the experiments show that this signal contains a second and a fourth harmonic, which can be used to calculate the rotor position. Furthermore, the limitations of implementing DFC are also addressed.
Aggregating individual risk aversion for the study of complex and risky group decision making

This paper focuses on decision making under risk, comparing individual and risk preferences based on an experiment that consist on a lottery choice (individual) and a business game simulator (group) taking into account gender variable. Our main findings are in the one hand, that the theory generally accepted about than women are more risk averse than men, in this research, only it is true in individual decision making. On the other hand, we have obtained that the level of the risk of the strategies adopted by groups decreases in time; particularly, groups with majority of men reduced it relatively more. Moreover, we have found a positive correlation between the level of risk of the strategies and groups accumulated profits. Finally our results reveal that, toward losses, groups with majority of women become relatively more risk prone than groups with majority of men.
Can emotional stability buffer the effect of job stress on deviant behavior

The interrelationships between job stress, WDB and emotional stability have not been studied in a model to comprehend whether emotional stability could weaken the impact of job stress on employee deviant behavior. We tested a model on the moderating role of emotional stability, a personality factor, in the relationship between job stress and workplace deviant behavior. The model was developed based on the general strain theory and the integrated general model of workplace deviant behavior. Structural equation modeling analysis was conducted on survey data from 261 employees from six Malaysian public service agencies. Our results supported the proposed model. The stress-deviance relationship is significant. The stress-deviance linkage is stronger among employees who are less emotionally stable than those who are more emotionally stable. The results suggest that emotional stability as a personality factor plays a vital role in further understanding the impact of job stress on employee deviant behavior. Based on the results, the general strain theory and the integrated general model of workplace deviant behavior could serve as the bases for explaining the stress-deviance relationship and the moderating role of emotional stability.
Microbial plankton assemblages, composition and biomass, during two ice-free periods in a deep high mountain lake (Estany Redó, Pyrenees)

Microbial plankton composition and biomass were monitored for two ice-free periods in a deep oligotrophic high-mountain lake (Redo, Pyrenees). Phytoplankton dominated microbial biomass, while the relationship between total water-column-integrated autotrophic and heterotrophic biomass ranged from 1.5 to 6.5 (an average of 4.4). Heterotrophic biomass was dominated by bacteria (an average of 47 %), but heterotrophic nanoflagellates and, to a lesser degree, ciliates occasionally constituted a sizeable proportion. In general, the microbial biomass ratios were 10:2:2:1 for PHY:BAC:HNF:CIL. About one hundred eukaryotic species were found, although most of them in low abundance and frequency. Phytoplankton biomass was dominated by flagellated chrysophytes and dinoflagellates (an average of 40 and 32% respectively); occasionally cryptophytes (in deep layers) and chlorococcal chlorophytes (during the autumn mixing period) were also significant. In the two years sampled, the maximum phytoplankton diversity was observed during the autumn mixing period. Heterotrophic flagellate biomass was dominated by chrysophytes (78% on average), but sporadically a non-identified species reached high abundances. Oligotrichs, (an average of 43% of total ciliate biomass) dominated the ciliate community, still other groups (gymnostomatida and prostomatida) were also significant. Bacteria biomass was largely homogeneous throughout the two periods, but size segregation was observed especially when the lake was stratified, with larger bacteria appearing in the upper layers. The highest planktonic microbial biomass occurred during the mixing periods, mainly during spring. But no clear relationships were found between the temporal distribution of bacteria, phytoplankton, heterotrophic flagellate and ciliate biomass.
Comparisons between explicit,implicit perceptual,and implicit conceptual memory tests : A selective review

The standard data concerning comparisons between explicit, implicit perceptual, and implicit conceptual tests can be summarized in five conclusions: (1) conceptual manipulations affect explicit, and implicit conceptual, but not implicit perceptual tests; (2) perceptual manipulations, conversely, affect implicit perceptual, but not implicit conceptual and explicit tests; (3) generate is better for explicit and implicit conceptual tests, but read is better for implicit perceptual tests; (4) explicit and implicit condeptual tests can be dissociated; and (5) there is not priming on implicit perceptual tests without perceptual match. Two theoretical approaches can account for these standard results: the data-driven/conceptually-driven view, and the PRS view. Recently, counterexamples have been found for each of the five conclusions emanated from the standard data. These inconsistent findings are stimulating new empirical and theoretical developments in the field of priming research.
Hedonic Price Modeling of the Influence of Violent Ethno-Religious Conflict on Residential Property Values in Bauchi Metropolis, Nigeria

The study examines the influence of violent ethno religious conflict on residential property values in Bauchi, Nigeria. The hedonic price model was used to capture the variable determining residential property values in the study area. Following collinearity observed among the initial 40 variables observed, a careful backward elimination process was used to whittle the variables to 13. The results show that conflict free area is the most influential variable determining rent. The study recommends among others, that Estate Surveyors and Valuers need to give cognizance and incorporate market response to social disorder in their valuation and also strategize and analyse in more depth, before advising clients on real property investment.
Design of a set-up for high-accuracy 3D PTV measurements in turbulent pipe flow

Turbulent flows are often encountered in common practice, usually at high Reynolds number. The development of Lagrangian stochastic models of these flows requires knowledge of Lagrangian statistics. To study the Lagrangian statistics of turbulent pipe flow, a dedicated 3D particle tracking velocimetry set-up has been designed. In this paper, design parameters, selection criteria and solutions are discussed. The measurement accuracies are studied in detail. Typical 3D particle tracking velocimetry results for turbulent pipe flow are compared and found to be in good agreement with direct numerical simulations.
Does Corporate Governance Matter for Market Efficiency? Evidence from Turkish Markets

This article examines informational efficiency in the Corporate Governance Index comprising of firms having corporate governance ratings in Turkish equity markets. By using ARFIMA FIGARCH model, it is empirically showed that Corporate Governance Index does not display long-memory effect, thus is in weak-form efficiency. The article has originality in that it examines Corporate Governance Index in Turkey in terms of market efficiency by employing ARFIMA-FIGARCH model that consider coexistence of long-term memory in return and volatility. Key words: Corporate governance, market efficiency, long-memory models, Turkish equity markets JEL codes: G32, G14, C14
Vicarious Trauma in Attorneys

Although secondary trauma and burnout have been the subject of investigation in emergency workers and mental health professionals, no systematic studies have evaluated these responses in attorneys. Growing out of our collaboration with the Pace Women's Justice Center, we designed a survey to assess the presence of secondary trauma responses and symptoms of burnout in attorneys working with victims of domestic violence and criminal defendants. Compared with mental health providers and social services workers, attorney's surveyed demonstrated significantly higher levels of secondary traumatic stress and burnout. This difference appeared related to the attorneys' higher caseloads and lack of supervision around trauma and its effects. These findings create a starting point for further study into attorney responses and methods of ameliorating the stress of work with traumatized clients.
Contemporary Issues in Crime and Justice Number 91 January 2006 Risk of re-offending among parolees

This study explored patterns of re-offending among New South Wales (NSW) offenders released to parole supervision in the 2001-2002 financial year (n=2793). The study found that by September 2004 approximately two-thirds of the cohort had reappeared in court, 64 percent had been convicted for a new offence and 41 per cent of the cohort had received a further custodial sentence for re-offending. Survival analyses revealed that the following groups re-offended more quickly: offenders who had a greater number of prior custodial sentences, offenders who had one or more prior drug convictions (i.e. for use or possession of heroin, cocaine or amphetamine), younger offenders, Indigenous offenders, those who had been released with a parole order issued by a court (as opposed to the NSW Parole Authority), offenders who had spent less time in custody during their index custody episode and those who had been serving sentences for violence, property crimes or for breaching justice orders.
Simulation of Oxygen Atom Geterogeneous Recombination on Al2O3 from AB initio Approach

To analyze the catalytic properties of heat shield materials of space vehicles, the cluster model of oxygen atom adsorption on Al2 O3 surface is constructed on the basis of density functional theory. The potential energy surface (PES) corresponding to orientation interaction of the O atom with this cluster is calculated. It was found a number of important PES features for subsequent description of heterogeneous catalytic processes with an application of molecular dynamics methods. In the framework of quasi-classical approach, the modeling of heterogeneous recombination of oxygen atoms on the surface of cluster through Eley-Rideal mechanism was conducted by molecular dynamics methods. Modeling results revealed that for correct description of investigated process, PES has to be calculated with taking into account internal relaxation of some top cluster layers.
Practical Challenges in Harvesting Wave Energy

This paper examines the challenges of efficiently harnessing wave energy. A variety of energy conversion device types is reviewed and a generic heaving buoy device selected for detailed examination. A number of modelling and control challenges are detailed and a hierarchical control structure is indicated. Both potable water production and electricity generation are included as possible uses of such devices and each presents separate control challenges.
Spatio-Temporal Data Mining, Visual Analytics for Video Annotation

The explosion of video data in surveillance calls for large amount of annotated datasets that could be used for information retrieval, learning-based network training and algorithms evaluation phase. A number of annotated video datasets have been shared to public, however, these open annotated datasets lack spatio-temporal information which can contribute to motion analysis researches. Moreover, manual annotation is tedious in lengthy frame sequences where the numbers are overwhelming. In this work we propose a visualization solution to facilitate video data retrieval, mining and annotation. It works as an integrated visual analytics system which supports collecting moving object samples and studying motion patterns in video, with the facilitation of video data visualization, using various spatial and/or temporal features, filtering parameters and similarity measuring models. The annotation output can be applied to multiple video analysis researches. In this paper, we present the system and propose a workflow for costeffective video annotation of spatio-temporal data as well as facilitating comprehension of video data.
HURDLES AND DRIVERS AFFECTING AUTISTIC STUDENTS' HIGHER EDUCATION EXPERIENCE: LESSONS LEARNT FROM THE MULTINATIONAL AUTISM&UNI RESEARCH STUDY

Autism&Uni is an EU-funded project which aims to support greater numbers of young adults on the autism spectrum to gain access to HE and to navigate the transition successfully. This paper reports on the research done as part of the project, specifically an in-depth literature review and a multinational mapping survey in five European countries. The research focused on identifying the hurdles autistic students encountered as well as the drivers that can help them overcome the challenges they face. Universal Design for Learning is put forward as an approach that can potentially alleviate many of the difficulties encountered by autistic students whilst benefiting the entire student population, with all its diversity.
Combined Objective Function in Deep Learning Model for Abstractive Summarization

Abstractive Summarization is the specific task in text generation whose popular approaches are based on the strength of Recurrent Neural Network. With the purpose to take advantages of Convolution Neural Network in text representation, we propose to combine these above networks in our encoder to capture both the global and local features from the input documents. Simultaneously, our model also integrates the reinforced mechanism with the novel reward function to get the closer direction between the learning and evaluating process. Through the experiments in CNN/Daily Mail, our models gains the significant results. Especially, in ROUGE-1 and ROUGE-L, it outperforms the previous works in this task with the expressive improvement (39.09% in ROUGE-L F1-score).
Assessment Strategies and Evidence-Based Interventions

An overview of assessment strategies in an evidence-based programme aimed at promoting entrepreneurial skills of disadvantaged young people. Key-elements of evidence-based programs are reviewed and the development of a competence questionnaire to fulfil the requirements of assessments of evidence-based programme development practices and research based on Chorpita’s (2003) categorization. The strategies of selecting scales to utilize in content validation of the ten competencies identified are provided. Self-efficacy, assertive behaviour, locus of control scales, as well as the Strengths and Difficulties Questionnaire (Goodman, 1997) have corroborate the content validity of the competency questionnaire by providing strong correlation with required competency sub-scales at a p < 0,01 significance level. On the other hand, two alternative possible explanations are offered why self-esteem scale of Rosenberg (1965) did not provide any correlations.
Imaging of crustal heterogeneous structures using a slowness‐weighted back‐projection with effects of scattering modes: 2. Application to the Nagamachi‐Rifu fault, Japan, area

[1] This is the second paper in a two-part series on a newly developed imaging approach for small-scale heterogeneities (<1 km) in the crust with effects of scattering modes. In the present paper, we estimated a detail three-dimensional spatial distribution of small-scale heterogeneities around the Nagamachi-Rifu fault, northeastern Japan, in a frequency range of 2-16 Hz, using the imaging approach presented in the first paper. We used seismograms recorded by dense three-component seismic arrays that were deployed in this region for 15 explosion sources. As one of our important results, there are concentrations for only P-S but not P-P scatterers near the surface trace of the fault. P-S scatterers in a frequency range of 8-16 Hz are localized near the surface trace of the fault, implying the possibility of strong heterogeneities with a size of 0.08 km there. In the Shirasawa caldera region, the characteristics of seismic scatterers seem to convert from large P-S to large P-P relative scattering coefficients with its transition depth range of 5-8 km. This feature implies that the materials composed of seismic scatterers may show a systematic variation with depth. Finally, the strength of scattering coefficients is rather weak in the coseismic area of the 15 September 1998 earthquake with a magnitude of 5.2, the largest recent event in this area. This result suggests that this coseismic area is rather homogeneous and can hold local stress larger than in the surrounding portions of the fault system.
Increasing self-esteem through art therapy

This paper will investigate what the literature suggests are manners in which self-esteem can be increased using art therapy techniques. Individuals who lack secure self-esteem often deal with a lot of physical, mental and emotional issues. Using a historical-documentary methodology this paper is a literary review of Art Therapy and its effectiveness and efficacy in increasing an individual's self-esteem. This review of the literature in self-esteem and art therapy has shown that there are many different treatment methods that can be used to enhance self-esteem in various populations and special cases. The objective of this paper is to provide a relevant synopsis to art therapists of the variety of the art therapy techniques that can increase their client's self-esteem.
A Hands-Free Interface for Controlling Virtual Electric-Powered Wheelchairs

This paper focuses on how to provide mobility to people with motor impairments with the integration of robotics and wearable computing systems. The burden of learning to control powered mobility devices should not fall entirely on the people with disabilities. Instead, the system should be able to learn the user's movements. This requires learning the degrees of freedom of user movement, and mapping these degrees of freedom onto electric-powered wheelchair (EPW) controls. Such mapping cannot be static because in some cases users will eventually improve with practice. Our goal in this paper is to present a hands-free interface (HFI) that can be customized to the varying needs of EPW users with appropriate mapping between the users' degrees of freedom and EPW controls. EPW users with different impairment types must learn how to operate a wheelchair with their residual body motions. EPW interfaces are often customized to fit their needs. An HFI utilizes the signals generated by the user's voluntary shoulder and elbow movements and translates them into an EPW control scheme. We examine the correlation of kinematics that occur during moderately paced repetitive elbow and shoulder movements for a range of motion. The output of upper-limb movements (shoulder and elbows) was tested on six participants, and compared with an output of a precision position tracking (PPT) optical system for validation. We find strong correlations between the HFI signal counts and PPT optical system during different upper-limb movements (ranged from r = 0.86 to 0.94). We also tested the HFI performance in driving the EPW in a virtual reality environment on a spinal-cord-injured (SCI) patient. The results showed that the HFI was able to adapt and translate the residual mobility of the SCI patient into efficient control commands within a week's training. The results are encouraging for the development of more efficient HFIs, especially for wheelchair users.