bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cultivating Self-Regulated Learning in Flipped EFL Courses: A Model for Course Design
Authors: Çakıroğlu Ünal , Öztürk Mücahit 
Published: December 2020

Abstract
Considerable effort has been invested in innovative learning practices in English Foreign Language courses (EFL) in universities. Flipped classroom model transforms passive listeners into active learners in school and home activities pace. Flipped classroom model and the foreign language teaching methods are student-centred learning environments in which students should have a certain level of self-regulated learning skills. The study suggest a model for flipped classroom implementations with regard to self-regulated learning strategies in order to keep students more active in the EFL courses. Students were allowed to apply goal setting and planning, rehearsing, help seeking, monitoring, testing, time management, organising, regulating and note taking strategies within the model in online and face to face sessions. We hope the suggested model can contribute to improve listening, reading, writing and speaking skills of students in EFL courses.
Transcripts and Accessibility: Student Views from Using Webinars in Built Environment Education
Authors: Liyanagunawardena Tharindu R. 
Published: December 2020

Abstract
Transcripts and captions make videos more accessible to everyone. However, the time and resources required for manual transcription are a known barrier in creating accessible videos. This paper presents a small study where students (283) and tutors (27) reported their views on automatic transcriptions for recorded webinar videos. Despite not having perfect transcription accuracy, many students who have used the automatic transcripts found them to be useful. Students were also asked how they used transcripts and this included: to find specific information in a video, as a learning aid, as an accessibility aid, to compensate for the speaker’s accent and pace, to study on the go, to compensate for poor audio and/or connectivity and as an aid for non-native English speakers.
Proposition for the Introduction of the Concept Telemathesis in Videoconferencing in Distance Education
Authors: Kanellopoulos Αthanasios , Koutsouba Maria , Giossos Yiannis 
Published: December 2020

Abstract
The development of technology and the widespread application of digital tools, such as teleconference (or videoconference), has led researchers to reflect on traditional theories and models of learning concerning Distance Education, as well as the formulation of new ones. The aim of this study is to propose the introduction of the concept tele-mathesis in Distance Learning, in order to describe the learning process by videoconferencing in Distance Education, which has features of an “embodied” and “integrated” way of learning. This is a theoretical study based on Illeris’ Theory of “Integrated” Learning that has been adopted in Distance Learning, using elements of the Theory of Tele-proximity concerning learning by videoconferencing in Distance Education. According to the developed argumentation the importance of the senses, emotions and “techniques of the body” is revealed in both the educational and learning process by videoconferencing, in order to reduce the transactional distance between the teacher and the learner, as well as, to lead to a positive distance educational experience. Thus, the cognitive, emotional and social factors involved in “tele-mathesis”, turn videoconferencing into an “embodied” and “integrated” way of learning. At the same time, it is showed that the empowerment of “tele-mathesis” requires appropriate planning and specific management methods. It is therefore proposed to introduce the term telemathesis in Distance Education so as to fully attribute this specific learning process of Distance Education.
Developing E-Authentication for E-Assessment – Diversity of Students Testing the System in Higher Education
Authors: Uotinen Sanna , Ladonlahti Tarja , Laamanen Merja 
Published: December 2020

Abstract
E-authentication is one of the key topics in the field of online education and e-assessment. This study was aimed at investigating the user experiences of students with special educational needs and disabilities (SEND) while developing the accessible e-authentication system for higher education institutions. Altogether, 15 students tested the system (including instruments for face recognition, voice recognition, keystroke dynamics, text style analysis and anti-plagiarism), developed as part of the TeSLA project. Students also completed pre-questionnaires and post-questionnaires and attended individual interviews. The findings reveal positive expectations and experiences of e-authentication. Students believed that the e-authentication system increased trust and, thus, diversified their possibilities for studying online. Students found some challenges and emphasized that the e-authentication system should be reliable and easy to use. The possibility to use different kinds of instruments was perceived as an important feature. Students’ willingness to use these instruments and share their personal data for e-authentication varied due to their disabilities or individual preferences. The results suggest that students should have options for what kind of e-authentication they use.
Automatic Airborne Laser Scanning Data Quality Control Procedure for Environmental Studies
Authors: Kraszewski Bartłomiej , Piasecka Żaneta , Sadkowski Rafał , Stereńczak Krzysztof 
Published: December 2020

Abstract
Airborne laser scanning (ALS) technology delivers large amount of data collected from airborne level. These data are used for many different applications in forestry, civil engineering, environmental studies and others. To acquire the best possible results from the data, accuracy analysis is a necessary part of data processing chain. Therefore, considering the increasing interest worldwide in the use of laser scanning data, improving the quality control (QC) tools is a crucial pursuit.
This study underlines the possible error sources, summarises the existing QC knowledge for ALS data and proposes an optimised QC procedure. The procedure was implemented in selected applications and evaluated for three different environments, namely, forests, rural areas and croplands.
The proposed solution is almost fully automatic outside from the module that supports the operator in the classification examination. The workflow is scalable and can be expanded with new modules that enhance the functionality. The presented procedures can save up to 30 min of manual checks for every 1 km2 area.
Occurence and Antimicrobial Resistant Patterns of Methicillin Resistant Staphylococcus Aureus (MRSA) Among Practicing Veterinarians in Kebbi State, Nigeria
Authors: Gaddafi M. S. , Yakubu Y. , Garba B. , Bello M. B. , Musawa A. I. , Lawal H. 
Published: December 2020

Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) is an emerging zoonotic pathogen incriminated in causing multiple disease conditions in humans and livestock. Studies have shown relationships between livestock rearing and increased MRSA colonization risk among farm workers, and also suggest that livestock may serves as reservoirs of the bacteria and could also infect humans via close contact and consumption of contaminated animal products. The aim of this study was to investigate if practicing veterinarians with significant livestock contacts are at risk for MRSA colonization. Therefore, a non-randomized survey was conducted to establish the presence of MRSA among veterinarians practicing in Kebbi State Nigeria, using both cultural characteristics and molecular detection of the resistant gene (mecA). Forty-one (41) nasal swabs were aseptically collected. The detection rate of MRSA in the veterinarians was 14.6 %. The study revealed a high occurrence rate of MRSA among veterinarians in the study area. The relatively high prevalence recorded among veterinarians in this study could be attributed to the poor understanding of MRSA as a disease, its mode of transmission and its status in the country which have contributed immensely to the little/no awareness of MRSA among veterinarians and hence making it favourable for the bacteria (MRSA) to spread.
Retinal Diseases of Senior Dogs
Authors: Balicka A. , Lapsanska M. , Trbolova A. 
Published: December 2020

AbstractAging consists of a physiological decline of an organism’s functional activity. During the aging process, the structural and functional changes of the retina can be observed. In most cases, progressive vision loss occurs due to the age related changes of the anterior segment. Retinal diseases, characteristic for senior dogs are: retinal detachment, hypertensive chorioretinopathy, sudden acquired retinal degeneration syndrome (SARDS), progressive retinal atrophy (PRA), glaucoma, retinopathy, cystoid degeneration and neoplasms. The examination of the retina in senior dogs is based on: ophthalmoscopic examination, electroretinography, spectral-domain optical coherence tomography (AD-OCT) and if necessary, histopathological examinations. Comprehensive knowledge regarding the senior dog’s health, significantly increases their quality of life.
The Response of National and Local Portuguese Government Authorities to COVID-19
Authors: Almeida Fernando , Monteiro José Augusto 
Published: December 2020

Abstract
COVID-19 has caused in Portugal an enormous economic, financial, and social challenge that must be answered by the national and local Portuguese government authorities. Several support measures have been launched to protect businesses, economic sustainability, and employment levels. At the national level, projects with greater economic emphasis are highlighted, which aim to support companies and their workers. The most noteworthy are measures relegated to simplified lay-off, social protection for individuals in isolation or with illness, and support for the payment of basic expenses such as electricity, water, and gas. Also, on this level, measures concerning teleworking and school at home through television have changed the daily lives of families. At the local level, there was a greater emphasis on the social dimension. The role played by local authorities and local councils in stimulating the local business community and supporting the creation of volunteer banks, the delivery of food and medicines, and the production of goods for individual protection was highlighted.
An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks
Authors: Zini Julia El , Rizk Yara , Awad Mariette 
Published: December 2020

Abstract
Recurrent neural networks (RNN) have been successfully applied to various sequential decision-making tasks, natural language processing applications, and time-series predictions. Such networks are usually trained through back-propagation through time (BPTT) which is prohibitively expensive, especially when the length of the time dependencies and the number of hidden neurons increase. To reduce the training time, extreme learning machines (ELMs) have been recently applied to RNN training, reaching a 99% speedup on some applications. Due to its non-iterative nature, ELM training, when parallelized, has the potential to reach higher speedups than BPTT.
In this work, we present Opt-PR-ELM, an optimized parallel RNN training algorithm based on ELM that takes advantage of the GPU shared memory and of parallel QR factorization algorithms to efficiently reach optimal solutions. The theoretical analysis of the proposed algorithm is presented on six RNN architectures, including LSTM and GRU, and its performance is empirically tested on ten time-series prediction applications. Opt-PR-ELM is shown to reach up to 461 times speedup over its sequential counterpart and to require up to 20x less time to train than parallel BPTT. Such high speedups over new generation CPUs are extremely crucial in real-time applications and IoT environments.
A Novel Method for Invariant Image Reconstruction
Authors: Pawlak Mirosław , Panesar Gurmukh Singh , Korytkowski Marcin 
Published: December 2020

Abstract
In this paper we propose a novel method for invariant image reconstruction with the properly selected degree of symmetry. We make use of Zernike radial moments to represent an image due to their invariance properties to isometry transformations and the ability to uniquely represent the salient features of the image. The regularized ridge regression estimation strategy under symmetry constraints for estimating Zernike moments is proposed. This extended regularization problem allows us to enforces the bilateral symmetry in the reconstructed object. This is achieved by the proper choice of two regularization parameters controlling the level of reconstruction accuracy and the acceptable degree of symmetry. As a byproduct of our studies we propose an algorithm for estimating an angle of the symmetry axis which in turn is used to determine the possible asymmetry present in the image. The proposed image recovery under the symmetry constraints model is tested in a number of experiments involving image reconstruction and symmetry estimation.
An Improved Fellegi-Sunter Framework for Probabilistic Record Linkage Between Large Data Sets
Authors: Fortini Marco 
Published: December 2020

Abstract
Record linkage addresses the problem of identifying pairs of records coming from different sources and referred to the same unit of interest. Fellegi and Sunter propose an optimal statistical test in order to assign the match status to the candidate pairs, in which the needed parameters are obtained through EM algorithm directly applied to the set of candidate pairs, without recourse to training data. However, this procedure has a quadratic complexity as the two lists to be matched grow. In addition, a large bias of EM-estimated parameters is also produced in this case, so that the problem is tackled by reducing the set of candidate pairs through filtering methods such as blocking. Unfortunately, the probability that excluded pairs would be actually true-matches cannot be assessed through such methods.
The present work proposes an efficient approach in which the comparison of records between lists are minimised while the EM estimates are modified by modelling tables with structural zeros in order to obtain unbiased estimates of the parameters. Improvement achieved by the suggested method is shown by means of simulations and an application based on real data.
Three-Form Split Questionnaire Design for Panel Surveys
Authors: Imbriano Paul M. , Raghunathan Trivellore E. 
Published: December 2020

Abstract
Longitudinal or panel surveys are effective tools for measuring individual level changes in the outcome variables and their correlates. One drawback of these studies is dropout or nonresponse, potentially leading to biased results. One of the main reasons for dropout is the burden of repeatedly responding to long questionnaires. Advancements in survey administration methodology and multiple imputation software now make it possible for planned missing data designs to be implemented for improving the data quality through a reduction in survey length. Many papers have discussed implementing a planned missing data study using a split questionnaire design in the cross-sectional setting, but development of these designs in a longitudinal study has been limited. Using simulations and data from the Health and Retirement Study (HRS), we compare the performance of several methods for administering a split questionnaire design in the longitudinal setting. The results suggest that the optimal design depends on the data structure and estimand of interest. These factors must be taken into account when designing a longitudinal study with planned missing data.
The Representativeness of Online Time Use Surveys. Effects of Individual Time Use Patterns and Survey Design on the Timing of Survey Dropout
Authors: te Braak Petrus , Minnen Joeri , Glorieux Ignace 
Published: December 2020

AbstractLike other surveys, time use surveys are facing declining response rates. At the same time paper-and-pencil surveys are increasingly replaced by online surveys. Both the declining response rates and the shift to online research are expected to have an impact on the representativeness of survey data questioning whether they are still the most suitable instrument to obtain a reliable view on the organization of daily life. This contribution examines the representativeness of a self-administered online time use survey using Belgian data collected in 2013 and 2014. The design of the study was deliberately chosen to test the automated processes that replace interviewer support and its cost-efficiency. We use weighting coefficients, a life table and discrete-time survival analyses to better understand the timing and selectivity of dropout, with a focus on the effects of individual time use patterns and the survey design. The results show that there are three major hurdles that cause large groups of respondents to drop out. This dropout is selective, and this selectivity differs according to the dropout moment. The contribution aims to provide a better insight in dropout during the fieldwork and tries to contribute to the further improvement of survey methodology of online time use surveys.
Computer Simulation of the Electric Transport Properties of the FeSe Monolayer
Authors: Sergeyev D. , Zhanturina N. , Myasnikova L. , Popov A.I. , Duisenova A. , Istlyaup A. 
Published: December 2020

Abstract
The paper deals with the model research of electric transport characteristics of stressed and non-stressed FeSe monolayers. Transmission spectra, current-voltage characteristic (CVC) and differential conductivity spectra of two-dimensional FeSe nanostructure have been calculated within the framework of the density functional theory and non-equilibrium Green’s functions (DFT + NEGF). It has been shown that the electrophysical properties depend on the geometry of the sample, the substrate, and the lattice constant. On CVC of non-stressed sample in the range from −1.2 V to −1 and from 1.2 V to 1.4 V, a region of negative differential resistance (NDR) has been observed. NDR is at both signs of the applied voltage due to the symmetry of the nanostructure. d2I/dV2
is used to determine the nature of the electron-phonon interaction and the features of quasiparticle tunnelling in stressed and non-stressed samples. The results obtained can be useful for calculating new elements of 2D nanoelectronics.
The Selection of Boron Nitride Circles for Grinding Saponite–Titanium Composites Using Non-Parametric Method
Authors: Huliieva N.M. , Somov D.O. , Pasternak V.V. , Samchuk L.M. , Chetverzhuk T.I. 
Published: December 2020

Abstract
The issue of grinding saponite–titanium composites has not been considered in the machine building industry yet. The reason is that the chips are stuck on the working surfaces of abrasive tools made of silicon carbide and electrocorundum. This is due to the high adhesive activity at operating cutting temperatures between the composite and traditional abrasives.
The article aims at studying the grinding of saponite–titanium composites using abrasive tools in various cutting modes based on parametric and non-parametric statistical methods.
To solve this problem, high porous wheels (HPW) made of cubic boron nitride CBN30 with 100 % concentration on a bond V (K27), a pore-forming KF40, varied grains: B76, B126, B151 (ISO 6106:2013) – and hardness: M and O (ISO 525:2013) were used to grind saponite–titanium composites. Additionally, the Norton wheels from green silicon carbide with a normal porosity 39C (46; 60) K8 VK and with different grain size were tested. Norton wheels provide reduction of roughness height by 1.4–1.5 times in comparison with boron nitride HPW. These are recommended for the finishing grinding stage and HPW CBN30 – the preliminary to reduce the thermal effects on composites. By processing stability, the Norton wheels with grain 46 rank first, and among boron nitride HPW – CBN30 B76 100 OV K27–KF40.
Domination and Kwapień’s factorization theorems for positive Cohen p–nuclear m–linear operators
Authors: Bougoutaia Amar , Belacel Amar , Hamdi Halima 
Published: December 2020

Abstract
In this paper, we introduce and study the concept of positive Cohen p-nuclear multilinear operators between Banach lattice spaces. We prove a natural analog to the Pietsch domination theorem for this class. Moreover, we give like the Kwapień’s factorization theorem. Finally, we investigate some relations with another known classes.
Procedural Justice in Selection from the Lens of Psychological Contract Theory
Authors: Huy Phuong Tran , Vu Ngan Hoang , Hoang Hue Thi , Nguyen Hanh Thi Hai 
Published: December 2020

Abstract

Background and purpose: In recruitment and selection, job applicants do not only base their justice judgment on the actual experience but also compare what happens and what they expect. This study, therefore, investigates applicants’ reaction to procedural justice in recruitment selection through the lens of psychological contract framework. Psychological contract theory highlights the role of expectations, discrepancies between perception and expectation, and perceived contract breach on individual outcomes.

Methodology: Two surveys were conducted with job seekers in Vietnam, one before and one after the selection process. Printed questionnaires were administered to job seekers in the first survey, while the second used online survey. Structural Equation Modeling technique was adopted to analyze the data.

Results: Data from a sample of 232 job seekers indicated that previous job experience and source of candidates were significantly related to justice expectations. In addition, perceived unmet expectations were found to predict procedural contract breach, which in turn negatively influenced job acceptance intention and recommendation intention.

Conclusion: The research highlights the role of unmet justice expectation, the perceived discrepancy between what happened and what was supposed to be, in predicting intention to accept offer and to recommend others. The results suggest that firms should provide updated and official information regarding the selection process to all parties such as internal employees, recruitment agency and job search website to reduce over-expectation.
Population status and habitat assessment of Cheer Pheasant (Catreus wallichii) in Western Nepal
Authors: Chokhal Keshab , Thapamagar Tilak , Bahadur Thapa Tej 
Published: December 2020

Abstract
The Cheer Pheasant (Catreus wallichii) is a protected species found abundantly to the west of Kaligandaki River. This study was conducted in the Myagdi district located in the western part of Kaligandaki River from October 2016 to June 2017. Our aim was to assess the habitat and population status of Cheer Pheasant, using acoustic survey and quadrate methods. A total of 38 breeding individuals were estimated in 7 bird/km2 density. The study also revealed that Cheer Pheasants showed a preference for exposure components of the habitat. They preferred moderately steep eastern slopes (10–35°) and steep southern slopes (35–67°) between 1800–2400 m elevations. Additionally low tree density and high herbs density showed a significant effect on the habitat choice of the species. Poaching and habitat destruction are the major threats in the study site, calling upon a strategic management plan for the long-term conservation of the Cheer Pheasant.