Reviewerly/exHarmony huggingface dataset:
From physical to virtual: The impact of mixed reality technologies on students' engagement in Kuwait universities using structural equation modeling

This paper sought to test the impact of mixed reality technologies on student engagement in Kuwait universities. Physical reality, augmented reality, augmented virtuality, and virtual reality have been relied upon as mixed reality technologies. Moreover, behavioural, cognitive, and emotional engagement were used as measures of students' engagement according to self-determination theory. The data used in the analysis were received from 812 students in various disciplines in Kuwaiti universities with a response rate of 86.19%. Structural equation modeling (SEM) was the statistical approach used in data analysis. The results indicated varying relative importance levels for mixed reality techniques, although the relative importance level for students' engagement was high. Besides, all mixed reality technologies had a positive impact on students' engagement, with the highest impact of augmented reality and the lowest impact of augmented virtuality. This paper provided contributions to the development of an empirical approach based on new technologies to improve student engagement in developing country universities. Accordingly, the paper emphasized the need for Kuwaiti universities to invest in augmented reality technologies, for example, interactive screens and 3D mobile applications to increase students' exploratory ability.
Understanding the role of digital information in enhancing education in UAE: An investigation of the factors that drive continuous adoption

Digital information has had a significant impact on higher education, transforming the way students learn and interact with course materials, professors, and their peers. Education systems that place a high priority on learning satisfaction and tutor quality frequently ignore the problem of limited access to digital information and technology. In this study, we provide an integrated model that examines how the TAM constructs of digital information in education (DIE) are affected by digital information flow, technological readiness, learning satisfaction, and tutor quality. We provide information on the results of a project evaluation that examined how digital information is used in higher education. We gathered information from a survey of 594 college students to validate our model and hypothesis. Our research suggests that external factors that improve users' technological readiness and learning satisfaction may have an impact on how valuable they perceive DIE to be. A user's traits, particularly their level of technological preparedness, have a significant impact on how simple technology is to use. The user's perceived usefulness of the technology may also be further enhanced in some cultures by the tutor’s perceived excellence. External elements like the flow of information may have a significant impact on the intention to use technology.
Three-dimensional geoelectrical model of the central part of the Zvizdal-Zaliska and Brusyliv fault zones of the Ukrainian Shield

To study the deep structure of the geoelectrically complex junction zone of three megablocks of the western part of the Ukrainian Shield (Volyn', Podil, and Ros'), a three-dimensional model of the central part of the Zvizdal-Zaliska and Brusyliv fault zones was created. It is based on modern experimental observations of the Earth's natural low-frequency electromagnetic field in a wide range of periods. Synchronous experimental data of deep magnetotelluric sounding and magnetovariational profiling, obtained by the Institutes of the National Academy of Sciences of Ukraine in 2009—2019, were analyzed. The main issues of the geoelectrical modeling methodology using the Mtd3fwd software complex were considered, such as model elements, stages, alternative models, examples of calculations and comparison of observations, errors, etc. The constructed model analysis showed that of the large number of near-surface anomalies with low resistivity (5 to 100 Ohm · m), most sink to 500 m and only a few reach a depth of 1 km and are followed up to 11 km. It was established that there are connections between conductivity and structural features of the Zvizdal-Zaliska, Brusyliv, Nemyriv fault zones, the Samgorod fault and the Kocheriv synclinorium. Most of the isolated conductors appear in a mosaic pattern along the extended fault zones and form interspersed chains of high and low resistivity. Regional anomalies were confirmed and detailed both in the deep part of the crust and in the upper mantle; part of the Zvizdal-Zaliska fault zone appeared at depths of 15—30 km as a contact zone of abnormally high and low resistivities. Anomalies are confined to elongated zones of metasomatization and graphitized rock areas, some of the surface anomalies correspond to areas of the weathering crust. Most of the anomalies coincide with ore occurrences, ore-bearing fields and mineral deposits. The conducted geological-geoelectrical analysis of the model made it possible for the first time to identify two promising areas for further study that meet the geoelectrical criteria for the mineral search: along the Zvizdal-Zaliska fault zone between the Samgorod and Unava faults; along the Samgorod fault in the area of its intersection with the Kocheriv and Taboriv faults.
Survey of Visual and Predictive Aspects of Batting and Eye Care Utilization in Baseball Players

Recent laboratory studies suggest that baseball batters use pre-pitch and post-pitch cues in batting and that high-level batters have excellent visual acuity. This study aimed to survey baseball batters on eye and head tracking and fixation behaviors, whether players received eye examinations during their playing careers, and on players’ recollections of coaching advice. An online survey was sent to potential respondents. Fifty-nine current or former baseball players who participated at the college level (54) or above (5) completed all (58) or most of the survey. Most were Division 3 college players. Survey responses suggested that pre-pitch and post-pitch cues were used by batters and that eye and head-tracking behaviors were similar to those in laboratory studies. Survey answers on batters’ behaviors largely matched answers on coaching advice. Most respondents had received an eye examination while playing, but most had not discussed visiontherapy.
The continued problem of URL decay: an updated analysis of health care management journal citations

This study updates a 2009 study which examined uniform resource locator (URL) decay in health care management journals and seeks to determine whether continued URL availability relates to publication date, resource type, or top-level domain. The authors also provide an analysis of differences in findings between the two study periods.The authors collected the URLs of web-based cited references in articles published in five health care management source journals from 2016 to 2018. The URLs were checked to see if they were still active and then analyzed to determine if continued availability was related to publication date, resource type, or top-level domain. Chi-square analysis was conducted to determine associations between resource type and URL availability, and top-level domain and URL availability. A Pearson's correlation was conducted to determine the relationship between publication date and URL availability.There were statistically significant differences in URL availability across publication date, resource type, and top-level domain. Domains with the highest percentage of unavailable URLs were .com and .net, and the lowest were .edu and .gov. As expected, the older the citation, the more likely it was unavailable. The overall percentage of unavailable URLs decreased from 49.3% to 36.1% between studies.URL decay in health care management journals has decreased in the last 13 years. Still, URL decay does continue to be a problem. Authors, publishers, and librarians should continue to promote the use of digital object identifiers, web archiving, and perhaps study and replicate efforts used by health services policy research journals to increase continued URL availability rates.
Video question answering supported by a multi-task learning objective

Abstract Video Question Answering (VideoQA) concerns the realization of models able to analyze a video, and produce a meaningful answer to visual content-related questions. To encode the given question, word embedding techniques are used to compute a representation of the tokens suitable for neural networks. Yet almost all the works in the literature use the same technique, although recent advancements in NLP brought better solutions. This lack of analysis is a major shortcoming. To address it, in this paper we present a twofold contribution about this inquiry and its relation with question encoding. First of all, we integrate four of the most popular word embedding techniques in three recent VideoQA architectures, and investigate how they influence the performance on two public datasets: EgoVQA and PororoQA. Thanks to the learning process, we show that embeddings carry question type-dependent characteristics. Secondly, to leverage this result, we propose a simple yet effective multi-task learning protocol which uses an auxiliary task defined on the question types. By using the proposed learning strategy, significant improvements are observed in most of the combinations of network architecture and embedding under analysis.
Crime Analytics using Machine Learning

Crime is one of the most significant and pervasive problems in our society, and preventing it is a crucial duty. A large number of crimes are perpetrated each day. Maintaining and analyzing crime data to forecast and solve crimes is the current issue. This project analyzes a large dataset of crimes and predicts future crimes based on conditions. This project uses data science and machine learning for India's crime data prediction. Thus, Decision Tree, Logistic Regression, Multi-Regression, k-NN, Lasso &amp; Ridge, and Random Forest are all involved in the supervised classification problem. Predicting crimes and classifying effective pattern detection and visualization equipment Utilizing crime data trends from the past allows us to correlate aspects that may help us comprehend the breadth of crimes in the future. This study uses visualization and machine learning methods to estimate future crime rates. First, raw datasets were processed and displayed.
Data Glove Based on Flexible Fiber Optic Sensor for Gesture Capture

Abstract The development of data glove is very rapid, and it is widely used in the field of human-robot interaction. Flexible optical fiber sensors are widely used in data gloves. Hereby, a flexible data glove based on space-division multiplexed flexible optical fiber sensor is proposed. The fiber exhibits high optical transmission stability and good sensing performance under deformation. Our data glove accurately recognizes and tracks gestures, and then guide the manipulator to make the same gesture. It is believed that the application of data glove will be more widespread.
Offensive Language and Hate Speech Detection for Danish

The presence of offensive language on social media platforms and the implications this poses is becoming a major concern in modern society. Given the enormous amount of content created every day, automatic methods are required to detect and deal with this type of content. Until now, most of the research has focused on solving the problem for the English language, while the problem is multilingual. We construct a Danish dataset containing user-generated comments from \textit{Reddit} and \textit{Facebook}. It contains user generated comments from various social media platforms, and to our knowledge, it is the first of its kind. Our dataset is annotated to capture various types and target of offensive language. We develop four automatic classification systems, each designed to work for both the English and the Danish language. In the detection of offensive language in English, the best performing system achieves a macro averaged F1-score of $0.74$, and the best performing system for Danish achieves a macro averaged F1-score of $0.70$. In the detection of whether or not an offensive post is targeted, the best performing system for English achieves a macro averaged F1-score of $0.62$, while the best performing system for Danish achieves a macro averaged F1-score of $0.73$. Finally, in the detection of the target type in a targeted offensive post, the best performing system for English achieves a macro averaged F1-score of $0.56$, and the best performing system for Danish achieves a macro averaged F1-score of $0.63$. Our work for both the English and the Danish language captures the type and targets of offensive language, and present automatic methods for detecting different kinds of offensive language such as hate speech and cyberbullying.
Rise and fall of entanglement between two qubits in a non-Markovian bath

We analyse the dynamics of quantum correlations between two qubits coupled to a linear chain of oscillators. The chain mediates interactions between the qubits and acts as a non-Markovian reservoir. The the model is amenable to an analytical solution when the initial state of the chain is Gaussian}. We study the dynamics of the qubits concurrence starting from a separable state and assuming that the chain spectrum is gapped {and the chain is initially in a thermal state. We identify three relevant regimes that depend on the strength of the qubit-chain coupling in relation to the spectral gap. These are (i) the weak coupling regime, where the qubits are entangled at the asymptotics; (ii) the strong coupling regime, where the concurrence can exhibit collapses followed by revivals with exponentially attenuated amplitude; and (iii) the thermal damping regime, where the concurrence rapidly vanishes due to the chain's thermal excitations. In all cases, if entanglement is generated, this occurs after a finite time has elapsed. This time scale depends exponentially on the qubits distance and is determined by the spectral properties of the chain. Entanglement irreversible decay, on the other hand, is due to the dissipative effect induced by the coupling with the chain and is controlled by the coupling strength between the chain and qubits. This study unravels the basic mechanisms leading to entanglement in a non-Markovian bath and allows to identify the key resources for realising quantum coherent dynamics of open systems.
Akım Verilerinin Makine Öğrenmesi Teknikleriyle Tahmin Edilmesi

Estimation of stream flows is very important in basin and flood management.It is a very difficult topic to predict hydrological events that do not show linearity and depend on many parameters.In this study, streamflow modeling has been made and compared by using Artificial Neural Networks (ANN), Support Vector Machines (SVM) and Deep Learning (DL) optimizations using monthly average streamflow data of Mersin Lamas River.When the results are examined, it has been observed that the best method in solving the problem is ANN and SVM methods, which give more unsuccessful results.Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Nash Sutcliffe model Efficiency coefficient (NSE), Mean Absolute Relative Error (MARE) and Coefficient of Determination (R 2 ) were used as comparison criteria.1 input model of DL gave the best result (RMSE= 0.
HIGHLY-PRODUCTIVE ADC WITH COMBINED BALANCING

Today analog-to-digital converters are used in computing and control systems which have greatly expanded in the era of the digital revolution. Increasing the accuracy, speed, energy efficiency, and reliability of analog-to-digital converters is extremely important. One of the most classic types of analog-to-digital converters is the sequential approximation and tracking type ADCs. The conversion time of the tracking type ADC is variable and is determined by the difference between the two readings of the input voltage. Therefore, combining the tracking approach and the method of successive approximation in the case of sharp jumps in the input signal allows you to significantly improve the conversion characteristic. Also the use of redundant counting systems for the weights of the ADC digits has significant advantages, which makes it possible to significantly increase the linearity of the conversion characteristic. The methods of construction of ADCs working on the principle of successive approximation and analog-digital converters whose operation algorithm is tracking are considered. A method of constructing a combined type ADC is proposed, which combines a follow-up conversion algorithm and a sequential approximation algorithm, which allows to improve the characteristics of ADC conversion. The expediency of using a combined type of redundant positional counting systems in ADCs has been proven. The analyzed property of redundant positional counting systems, which is inherent in them when the real weights of the digits deviate from their theoretical values, ensures the absence of “gaps” in the conversion characteristic, as well as the ability to perform the procedure of self-calibration of the weights of the ADC digits, thereby significantly improving the linearity of the conversion characteristic. It is indicated that even with the lengthening of the bit grid for ADCs built on the basis of redundant positional counting systems, their performance does not decrease.
Features of the moral development of the personality of a teenager – a student of the cadet corps

The paper raises a question of the moral development of the personality of cadet corps students. The specificity of the educational process in the cadet corps is indicated, which affects the development of cadets personality in general and their moral development in particular. The age limits of adolescence are presented and its main features are revealed: the desire for adulthood, puberty, communication with peers as a leading activity, inconsistency of behavior. The analysis of the features of the moral development of the personality of cadet corps students is based on the provisions of developmental psychology, which determine the specifics of adolescence as a stage in the development of the personality, on the provisions of pedagogy, which interpret moral education as a process of assimilation of moral values. The personality traits inherent in adolescents are analyzed in the context of the educational space of the cadet corps. It is substantiated that the moral development of adolescent cadets is carried out in the conditions of determining professional preferences by cadets through the assimilation of the moral foundations of the profession (military, employee of the Ministry of Internal Affairs depending on the departmental affiliation of the cadet corps); gender homogeneity of the composition of students; development of the cadet fraternity, leading to the establishment of strong and long-term friendly relations; enrichment of the value sphere of consciousness of adolescents at the expense of moral and professional values.
Effectiveness of The Implementation Game-Based-Learning in Increasing Student Learning Outcomes

The government has now started to lower the Implementation of Community Activity Restrictions level during the Covid-19 pandemic, but it cannot be predicted that it will return to normal. This makes the world of education to be able to choose a learning model whose implementation is flexible both offline and online. Learning outcomes are an indication of the success of a learning process. In line with the previous explanation, the purpose of this study is to determine the effectiveness of implementing Game-Based-Learning (GBL) learning-assisted Kahoot! with digital media in improving student learning outcomes in the subject of Construction Cost Estimation. This research is a pre-experimental design in the form of a one-group pretest-posttest research design. The results of the study show that the application of GBL produces an average score that is more effective than before the treatment, where the value obtained has exceeded the category of determining the completeness of learning outcomes for productive subjects that have been determined. To see the picture that GBL can improve student learning outcomes, it can be seen from the results of the test that the increase in N-Gain has increased with a moderate category. Based on the research findings and discussion in terms of the process and improvement of student learning outcomes, the N-Gain Score of 65.00% is categorized as quite effective, so the application of GBL can be applied according to current conditions and can be more optimal.Keywords: Construction Cost Estimation, Game-Based-Learning (GBL), Kahoot!, Learning Outcomes
The concept of ecological culture in the professional training of pedagogical university students

Currently, environmental education is of great importance in the system of vocational education and training, which is interpreted by the fact that effective social formation is determined by the awareness of the need to correct the existing state of the natural environment. The critical state of nature leads to an alarming state, rather than the state of the economy, politics, morality and culture of society. The vital activity of an individual contributes to the fundamental transformations of nature, including the entire biosphere as a whole. Natural ecological systems in most countries become unfavorable for human habitation, and also negatively affect it. Today there is a dominant need for the formation of a harmonious interaction of the individual with the natural environment. Liberation from a critical bioecological situation cannot arise automatically, by chance, it, as a rule, projects sufficiently responsible socio-economic, political and socio-legal measures from the position of society, as well as world restructuring in the spiritual and practical relations of man to the natural environment. The formation of an ecological culture based on universal norms and motives is understood as an internal condition of pedagogical education and upbringing. The way out of this problem requires significant dynamic restructuring in almost all elements of the modern education system and upbringing of the younger generation, which directly relates to the personality of the prospective teacher, since the ability of young people to part with the position of boundless attitude to the environment depends for the most part on his universal, including ecological culture. The development of the ecological culture of prospective specialists is a psychological and pedagogical process focused on the multiplication of ecological ideas, concepts of the interaction of professional and environmental behavior, the formation of bioecological values and motivation of readiness for environmental-oriented life in the professional sphere. The acquisition of the necessary effectiveness of the development of ecological culture of pedagogical university students creates a set of psychological and pedagogical conditions. Following many researchers, we consider the development of ecological culture to be the task of environmental education. In the presented paper, the pedagogical concept of the formation of the ecological culture of prospective teachers in the process of their education at a pedagogical university, based on the leading ideas of the concept of sustainable development and three key approaches desmoecological, synergetic and culturological, is formulated and well-substantiated.