Miracle-dz/UniFAR-FTUs huggingface dataset:
Young Spanish-English Language Learners' Cognate Facilitation on Picture Naming

ABSTRACT: Purpose: Cognates are words that share meaning and form, where the translation-equivalent pairs between languages are phonologically similar (e.g., baby–bebé and telephone–teléfono). Noncognates are word pairs that share meaning but not form (e.g., bear–oso). The literature strongly establishes a cognate advantage with bilingual adults, although evidence for younger bilinguals is still emerging. This study investigated young Spanish-speaking English language learners’ (ELLs’) picture naming of cognates and noncognates. Method: Thirty-one Spanish-speaking ELL children completed a picture-naming task in English and in Spanish, in a counterbalanced order, to compare performance on cognates and noncognates. Data analysis using a repeated measures analysis of variance compared cognate and noncognate accuracy in English and Spanish. The number of translation-equivalent pairs I
A systematic approach for the integration of emotional context in interactive systems

In interactive systems, knowing the user’s emotional state is not only important to understand and improve overall user experience, but also of the utmost relevance in scenarios where such information might foster our ability to help users manage and express their emotions (e.g., anxiety), with a strong impact on their daily life and on how they interact with others. Nevertheless, although there is a clear potential for emotionally-aware applications, several challenges preclude their wider availability, sometimes resulting from the low translational nature of the research in affective computing, and from a lack of straightforward methods for easy integration of emotion in applications. While several toolkits have been proposed for emotion extraction from a variety of data, such as text, audio and video, their integration still requires a considerable development effort that needs to be repeated for every deployed application. In light of these challenges, we present a conceptual vision for considering emotion in the scope of multimodal interactive systems, proposing a decoupled approach that can also foster an articulation with research in affective computing. Following this vision, we developed an affective generic modality, aligned with the W3C recommendations for multimodal interaction architectures, which enables the development of emotionally-aware applications keeping the developed interactive systems (and the developers) completely agnostic to the affective computing methods considered. To support the work carried out, and to illustrate the potential of the proposed affective modality in providing emotional context for interactive scenarios, two demonstrator applications were instantiated. The first, enables multimodal interaction with Spotify, considering the user’s emotional context to adapt how music is played. The second, Mood Diary, serves as a proof-of-concept to how an emotionallyaware application can support users in understanding and expressing emotion, a potentially relevant feature for those suffering from conditions such as autism spectrum disorders.
Co-Morbid Obsessive–Compulsive Disorder and Attention Deficit Hyperactivity Disorder: Neurobiological Commonalities and Treatment Implications

Citation: Cabarkapa S, King JA, Dowling N and Ng CH (2019) Co-Morbid Obsessive–Compulsive Disorder and Attention Deficit Hyperactivity Disorder: Neurobiological Commonalities and Treatment Implications. Front. Psychiatry 10:557. doi: 10.3389/fpsyt.2019. 00557 Co-Morbid Obsessive–Compulsive Disorder and Attention Deficit Hyperactivity Disorder: Neurobiological Commonalities and Treatment Implications
Capitaliser les processus d'analyse de traces d'e-learning

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Capitaliser les processus d’analyse de traces d’e-learning Alexis Lebis, Marie Lefevre, Vanda Luengo, Nathalie Guin
THE PREZENTATION OF SELF IN EVERYDAY LIFE – IMPRESSION MANAGEMENT STRATEGIES WITHIN EMPLOYMENT INTERVIEW

The presentation of self in the most favorable light is a necessary skill in social life, as regardless the field in which we operate, the impression a person can make on others is an important and sometimes decisive aspect of interpersonal relationships or/and occupational success. The study describes the strategies used by job vacancies candidates within employment interviews and the way this influences the hiring decision, as the job interview is most often the gateway to any company, there is a strong interest manifested by social science researchers. PREZENTAREA SINELUI IN VIAȚA COTIDIANĂ – STRATEGII DE MANAGEMENT AL IMPRESIILOR IN CADRUL INTERVIULUI DE ANGAJARE Prezentarea propriei persoane intr-o lumină cât mai favorabilă reprezintă o abilitate necesară in viața socială, deoarece, indiferent de domeniul in care activăm, impresia pe care o persoană o poate face altora este un aspect important și uneori decisiv in ceea ce privește relațiile interpersonale ori succesul ocupațional. Studiul descrie strategiile utilizate de către candidații la posturile vacante in cadrul interviului de angajare și felul in care acestea din urmă au influențat decizia de angajare, interviul de recrutare fiind, de cele mai multe ori, poarta de acces in cadrul companiilor, studiul domeniului dat fiind de interes extins pentru cercetătorii din domeniul științelor sociale.
Smart Grid Data Compression of Power Quality Events using Wavelet Transform

Smart grids typically incorporate a communication networking layer onto the electric power grid to exchange the data and the information between the intelligent electronic devices and the supervisory control and data acquisition (SCADA). The smart grid monitoring and control requires the acquisition and the transmission of a large volume of data over such communication networks. This process sets new requirements for the existing data communication networks within the smart grid regarding the network transmission capacity and the data storage. Data compression is an effective mean to compress the power quality (PQ) data and hence saving the cost of data storage while meeting the communication network transmission capacity limits. The previous work on PQ data compression uses wavelets multiresolution signal decomposition into various decomposition levels. Thresholding is then applied on each wavelet decomposition level to capture the features needed for signal reconstruction. The goodness of compression is significantly affected by the choice of the wavelet basic function as well as the choice of the number of decomposition levels. This paper looks into identifying the most suitable wavelet basic function and the suitable number of wavelet decomposition level to achieve high compression of PQ disturbances. The study considered 80 wavelets and 4 categories of PQ disturbances such as sag, swell, interruption and notches. The results have been presented and the conclusions were drawn.
How grit mediates the relations between personality and GPA in university students?

The study tested the relationships between personality, grit and grade point averages (GPAs) among university students. The sample was 406 undergraduate students (299 females and 107 males) from three universities in Istanbul. The instruments used in the study were Grit-S and the Big-Five Inventory. The data were analysed through a path analysis. The results of the path analysis for the first model exploring the relationship between personality and GPA through the mediating role of grit showed that the model did not seem sufficiently applicable for the data. In the second model, grit and neuroticism were determined as independent variables predicting GPA, whereby it seemed that conscientiousness mediated this relationship. The results for the second model showed that the neuroticism has significantly negative relationship with grit; grit has significantly positive relation to conscientiousness and conscientiousness has a significantly positive relationship with GPA. Keywords: GPA, academic success, grit, personality, university students.
A Study on Autonomous Use of Technology for Language Learning Among ESL Learners at Tertiary Level

Acknowledging the importance of autonomous language learning with technology as an essential skill for lifelong learning, the current study was carried out to investigate whether a group of tertiary level ESL learners were able to self-direct their use of technology for effective language learning experience. The mixed-methods approach was employed to understand the phenomenon. Findings indicate that the most preferred Web 2.0 technology for language learning is the online exercises/quizzes. This is followed by online discussion/forum, public International Journal of Academic Research in Business and Social Sciences Vol. 8 , No. 11, Nov, 2018, E-ISSN: 2222-6990 © 2018 HRMARS 1095 websites, blogs, and online video/audio. It could be concluded that even though these ESL learners were able to locate and select the various technologies for autonomous language learning, their main choices seemed to be restricted to the conventional ones. Thus, it is suggested that teachers should play their roles in guiding learners at tertiary level on how to utilize these technologies so that they can optimize their autonomous use of technologies for more meaningful language learning.
Perceived stress, exercise habits, and exercise addiction in Israeli army reserves: A pilot study

ABSTRACT Being an army reservist involves stress and uncertainty. While some individuals use exercise to cope with stress, no previous research has ever studied the relationship between army reservists exercise habits and perceived stress. The current study examined the hypothesis that Israeli army reserves in combat roles would report greater perceived stress and (to cope with the stress) exhibit more intensive exercise habits, as well as higher risk for exercise addiction, than the army reserves who are in a non-combat (i.e., office job) role and controls who are not in the army reserve. Participants (n = 277) completed questionnaires assessing their regular exercises habits, perceived stress, and risk for exercise addiction. The results showed that combat reserves scored higher on all dependent measures than non-combat reserves and controls. Perceived stress accounted for 38.8% to 56.6% of the variance in the risk of exercise addiction. Findings suggest that Israeli army reserves in combat role exercise more, for longer episodes, with greater reported intensity, and are at a greater risk for exercise addiction than the reserves in non-combat roles and controls. The higher risk for exercise addiction in the combat reserves, accompanied by a lower predictive power of the perceived stress, reflects a weaker association between these two variables in this group, most likely because combat reserves feel obliged to be physically fit in case of active deployment. This is the first study to show that differences in reservists’ roles is associated with different levels of risk for exercise addiction.
Validating a Competency-Based HIT Curriculum in a BHA and MHA Program Through the Voice of the Customer

Competency mapping in higher education is not a new technique for curriculum development. Competency-based curriculum in health care administration programs has appeared in the literature every few years. Texas State University has taught a bachelor’s in health administration (BHA) and a master’s in health administration (MHA) for decades and recently wanted to validate its curriculum. Professors began with one course, the management of health information technology (HIT). We had two objectives with this work: What are the current health care information technology competencies required of health care administrators? Is the quality and depth of the current HIT curriculum sufficient? A competency-mapping exercise was used for the first question, and a survey mechanism was used for the second. Three demographic, 10 Likert-type-scale statements, and one free-text question were presented through an online survey instrument to stakeholders (alumni and preceptors). Stakeholders were asked about the importance, quality, and capabilities enabled by the HIT course. Nonparametric tests were used for analysis. The competency-mapping exercise highlighted clear relationships with learning objectives and identified two shortcomings in the current syllabus for both BHA and a MHA programs. Sixty-nine alumni and 20 preceptors provided valid responses to the surveys. Stakeholders generally agreed with the content of the current courses, but asked for updated material and more exposure to live electronic health records. Our methods highlighted shortfalls in our curriculum for one of our courses. We will next create surveys for the rest of the curriculum, engaging with our stakeholders in a continuous quality-improvement manner.
A Novel Classification Method for Class-imbalanced Data and Its Application in microRNA Recognition

For non-coding RNA gene mining, especially microRNA mining, there are many challenges in the classification of imbalanced data. A novel classification method based on the Adaboost algorithm is proposed to handle the imbalance of positive and negative cases. Unstable-Adaboost is improved with respect to the initial weight assignment, the base classifier selection, the weight adjustment mechanism and other aspects. Furthermore, the Stable-Adaboost algorithm is proposed, which adjusts the weight of the sample set to rapidly achieve a more balanced training set. In addition, the Stable-Adaboost algorithm can ensure that the follow-up training set is maintained in a balanced state by optimizing the weight adjustment mechanism of incorrectly classified samples and stabilizing the classification performance. Experimental results show the superiority of Unstable-Adaboost and StableAdaboost in imbalance classification.
An Evaluation of the UNC Distance Education Website

This study is an evaluation of the overall usability of the UNC Distance Education website. This study focuses on the following aspects of website usability: 1) the users’ impressions of and satisfaction with the site in terms of appearance, content, information organization, and navigation; and 2) the efficiency of site navigation. The study involved 10 participants, 4 prospective students and 6 current students, corresponding to the two user groups of the site. In this study, each participant responded to two questionnaires and two interviews, and carried out eight tasks with the site. Data were collected from participants’ feedback and the tester’s observations, and analyzed both quantitatively and qualitatively to identify usability problems. Recommendations are made for improvement of the site.
Exploiting Parallelism in FPGAs for the Real-Time Interpretation of Interactive Multimedia Scores

Real-time performance is essential for interactive multi- media applications. However, most of these applications are sequential or they are executed on architectures and operat- ing systems that do not provide a low-latency real-time per- formance. In this paper, we present a solution to this prob- lem, specifically in the interpretation of interactive multime- dia scores. For that, we present a novel parallel implementa- tion of interactive scores on a reconfigurable hardware. We take advantage of the parallelism and reliability provided by Field Programmable Gate Arrays (FPGAS) to perform in real-time the hardware representation of scores. The results of the simulations show that our approach allows the system to react instantaneously to user interactions. Moreover, the real-time constraints of the score are satisfied.
Performance Comparison of Current Controllers with Harmonic Compensation for Single-Phase Grid converter

The current control techniques developed on the basis of the internal model principle (IMP) are well suited for the single-phase photovoltaic systems. The main achievements of these controllers have been: sinusoidal grid current, unity power factor and high immunity to grid harmonic disturbances. Two main families of current controllers have been developed: the first based on the use of resonant controllers and the second based on the use of repetitive controllers. Similarities have been already individuated between these two classes of controllers, however many different implementation possibilities arise (use of selective, full, or any grid voltage feed-forward, implementation via the delta operator or zeta operator, etc.). This paper proposes an exhaustive comparison between these classes of controllers, full of insight judgment, and based on simulation and experimental results.
Towards an understanding of the ‘therapeutic’ in foster care: an exploration of foster carers’ capacities to help heal children with trauma

Abstract This paper explores foster carers’ therapeutic capacities. This topic arises from advances in knowledge of the adverse effects of complex trauma on children’s social, emotional and cognitive development. A growing expectation of fostering agencies is that their carers work within a therapeutic framework. Knowledge of foster carers’ therapeutic capacities has importance, because while foster carers are the primary agents of therapeutic change for these children, the skills and processes in which they do so are not well understood. Eighteen foster carers who work within a therapeutic framework were interviewed about their perceptions of therapeutic care. Their responses were analysed using an ecological systems framework. Foundational to therapeutic care is the mesosystem, the relationship between the foster carer and the child. Key elements of this relationship are safety, trust and love. There are two other aspects to therapeutic care: the microsystem, which represents therapeutic capacities that foster carers exercise to help in the recovery of these children, and the exosystem, which includes the networks of support that foster carers require to exercise therapeutic care. This paper will present key findings relating to foster carers’ therapeutic capacities. I will also consider some key implications for fostering agencies.
Do Radioactive Spills from the Fukushima Disaster Have any Influence on Seafood Market in Japan

We investigated whether the spill of radioactive materials from the Fukushima nuclear plant into the Pacific Ocean had a negative impact on demand for cod and pollock in wholesale markets in Japan. A structural break test detected several break points in the market, including the Fukushima disaster, and successfully eliminated the impact of the other disturbing shocks identified in our analysis. A system of demand equations model which has taken into account the structural breaks indicated that the radioactive spills had a significantly negative impact on demand for cod. Our results suggested that the amount of radiation detected in cod products negatively affected Japanese demand for cod and positively affected demand for pollock, while it did not affect its price. We also found that consumers’ current concerns about radioactive spills positively affect cod and pollock markets. We concluded that radioactive spills harm the markets, but the impact is almost negligible.
Quantitative Methods in Comparative Law

In the field of comparative law, the use of economic analysis has been at the same time fashionable and controversial. Notwithstanding its controversial acceptance in the discipline, the so-called comparative law and economics method is an important example of the application of economics to areas that were once considered beyond the realm of economic analysis. This article discusses the multiple roles that quantitative economic methods (both theoretical and empirical) can play for comparative legal analysis.
Network intrusion detection via distributed machine learning on smart gateway network

The future smart building requires the deployment of smart grid to not only provide physical power supply but to also make cyber control with energy savings. A smart home is a typical cyber-physical system with linkage between physical power grid and cyber information network. Usually the linkage here can be a data server or a gateway with collected personal data of energy, temperature, humidity, Wireless Fidelity (Wi-Fi) etc. This however may result in a serious security concern if the data server or gateway are intruded with malicious attacks. Vulnerabilities inherent to communication and computing of a cyber-physical system such as smart home can affect the entire infrastructure. Various methods have been proposed to detect these intrusions and prevent them from causing harm to the smart home system. This thesis studies machine learning approach to identify malicious intrusions and explores the performance improvement in time complexity and classification accuracy through distributed machine learning algorithms. In this research, supervised machine learning algorithms which are studied are Support Vector Machine (SVM) and Extreme Learning Machine (ELM). Two publicly available datasets NSL-KDD and ISCX 2012 are evaluated to compare the performance of SVM and ELM. Experiments are performed for both binary and multi class classification to evaluate the performance of these classifiers on the benchmark datasets. For SVM, four different kernel functions are used for binary and multi class classification. For NSL-KDD benchmark, the sigmoid kernel function gives the best classification accuracy and has reasonable time complexity when compared against other kernel functions. For ISCX 2012 dataset, Linear and Sigmoid Kernel functions give comparable performance metrics. Experiment results also show that classification performance of SVM is superior to ELM for most
Social support and work engagement in police work

Job resources are positively related to work engagement within the motivational process of the job demands–resources model (JD–R). Little is known about mediating mechanisms within that process. The purpose of this paper is to examine self-efficacy and work–privacy conflict as mediators of the relationship between social support and work engagement in a sample of police officers. ,In total, 811 German police officers completed a cross-sectional online survey that assessed social support by supervisors and co-workers, work–privacy conflict, self-efficacy and work engagement. Structural equation modeling was conducted. ,Self-efficacy and work–privacy conflict partially mediated the relationship between social support and work engagement. The direct effect of social support and work engagement was confirmed, too. ,Health promotion approaches in police work should foster social support by supervisors and co-workers. Social support eases challenges of work–life balance and self-efficacy and promotes police officers’ work engagement. ,The findings validate the motivational process of the JD-R model in a sample of police officers. Job resources and personal resources are interrelated in the prediction of work engagement. Moreover, job resources facilitate dealing with specific job demands, which promotes work engagement, too.