Reviewerly/exHarmony huggingface dataset:
Distance learning in medicine / Učenje medicine na daljavo?

In March, an epidemic of coronavirus was announced, and a state of emergency was declared. The introduced measures have, among other things, halted in-person pedagogy in schools and faculties, having been replaced by distance learning. Furthermore, the University Clinical Centre and the Faculty of Medicine of the University of Maribor were closed to medical students ...
A Comparative Analysis of Website Usability Evaluation Techniques

Most system interfaces do not meet user intuition in terms of both context and the underlying actions thereof, hence reducing user's task execution efficiency.This translate into the amount of time taken to learn, recall and complete the procedure for certain task with respect to a given system or device.It was in the light of this that this work took a look at the existing human computer interaction (HCI) usability testing techniques with the intention of empirically establishing which among cognitive walkthrough, heuristic evaluation and user group is the most efficient in identifying and correcting system's usability problems.To create the research pathway a detail review of related work was undertaken to identify the lacuna therein for the research direction.A case study of the Nigerian Defence Academy (NDA) website was used as a specimen for administering the usability test methods and the outcome of each was documented.The research methodology adopted a purposive and stratified sampling technique to reduced biased and increased reliability of the representative sample chosen for this research.The sample chosen was an extract of final year undergraduate students of Federal College of Education (FCE) Pankshin, an affiliate of University of Jos, Plateau State, Nigeria.The students have taken a course in Human Factor in System Design, which provided them with adequate training in usability test techniques, 20 out of the total 30 students with the requisite skill were chosen to undertake the test process.The data collated passed through paired sample T-test procedure of the compare-mean analysis with confidence interval percentage of 95%, using the IBM Statistical Package for the Social Sciences (SPSS) version 26.The outcome of the T-test showed that the respective means of cognitive-walkthrough, heuristic-evaluation and user-group are 5.750, 4.900 and 6.350, with respective correlation coefficients of 0.192, 0.54 and 0.624.This shows a strong relationship between each pair of the test techniques.However, user-group usability test technique with the highest mean accuracy interval of 1.450 is the best in terms of performance relative to the other two techniques.Finally, the result of the analysis as well as charts created and the participant's findings were summarized thus proffering way forward and recommendations for the improvement of system and user interaction.
English and Indonesian Nominalization: A Case of Word Classes

This research aims at determining the similarities, dissimilarities, and possible learning difficulties faced by students learning English and Indonesian nominalization as well as the recommendations to TEFL. The qualitative research design was applied. The documentation technique was used to collect the data. To analyze the data, the researchers used a descriptive analysis. The results showed that there were three similarities and four the dissimilarities between English and Indonesian nominalization found. The three similarities were in suffixation, demonstrative pronominal and conversion. While, the four dissimilarities were in affixation, Adjective reduplication, conversion and To-infinitive. The possible learning difficulties faced by students learning English and Indonesian nominalization was suffixation and confixation which were not very familiar with them. The recommendations of this research was as a fundamental teaching guidance in helping English teachers design a better teaching Grammar on nominalization (word classes), in terms of affixation, Adjective reduplication, conversion and To-infinitive.&#x0D; &#x0D; Keywords: Contrastive Analysis (CA), Nominalization, Word Classes
Relic Particle Production

The last few decades have seen an explosive increase in the amount and precision of data obtained from cosmological observations. Theoretical cosmologists have not yet finished interpreting this amount of data. Likewise, the wonderful ideas we have for the beginning of the Universe have not yet been connected with concrete models of elementary particles. Currently, the existence of dark matter (DM) is accepted in the scientific community. Stars, planets, comets, cosmic dust and other forms of matter make up 5% of the matter in the Universe. The remaining 95% would be "dark matter" and "dark energy", if it is that, it is not known what it is, in fact they exist. In this work, the standard cosmological model is studied, as well as the production of relic particles with the Boltzmann equation applied to the decoupling of relic particles from a reservoir.
Identification of Resistor Types Using Extreme Learning Machine Algorithms and Morphological Operation

Electronic components are the basic elements to form a series of electronic devices that are usually used in everyday life. For someone who studies the field of electricity, knowledge of electrical components is an important thing. One of the components whose use is most often found in electronic circuits is a resistor. However, some people do not know about these types of resistors. Especially for someone or a student who will learn about electronic components. This study aims to develop an image processing system that can identify transistor type images using the Extreme Learning Machine (ELM) algorithm. This algorithm performs integrated learning through a special form of feedforward perceptron which has one hidden layer. In order for the ELM algorithm to work properly, information about the features contained in the object to be identified is needed. So, in this study the ELM algorithm is combined with morphological characteristics through parameters such as area, perimeter, eccentricity, major axis length, and minor axis length. Based on these parameters, features will be obtained which will be input in the identification process. At the evaluation stage, the precision value was 87%, recall was 84.47% and accuracy was 85.5%.
Deep Learning based Object Detection Techniques in Videos

Deep learning technology is often used for object detection. It has received attention recently because to the intimate connections between object detection, video analysis, and picture understanding. The goal of object detection has been pursued using a variety of models, and this is immensely beneficial to humanity. The most recent technical developments have helped the computational experiments, which would not have been conceivable if they had been tried using the conventional techniques. The powerful approaches employed in deep learning can show noticeably higher efficiency when compared to conventional designs and architectures. Numerous strategies and techniques have been used in deep learning to boost accuracy, and their drawbacks have also been somewhat addressed in order to lessen them. This study's main objective is to give an overview of several object detection procedures and approaches based on deep learning. Additionally, it lists the benefits and drawbacks of various object identification systems based on their potential applications and limitations.
Proceedings of the 35th International BCS Human Computer Interaction Conference (HCI 2022) - Index

<p class="first" id="d3057123e90">The International BCS Human-Computer Interaction conference is a vibrant and established multidisciplinary HCI conference. <p id="d3057123e92">The 2022 conference was hosted by Keele University and comprised a full schedule of workshops, a doctoral consortium, keynotes, parallel presentation sessions and an interactions gallery. <p id="d3057123e94">The theme for the conference was “Towards a Human-Centred Digital Society” and the event was sponsored by The Digital Society Institute, Faculty of Natural Sciences and School of Computer Science and Mathematics at Keele University in addition to sponsorships from Exesios, bitjam, Holospatial and Creative Informatics.
TREATMENT OF COGNITIVE DISORDER IN THE ELDERLY: MILD COGNITIVE IMPAIRMENT AND DEMENTIA

The best socio-sanitary conditions of the 21st century lead to an aging of society. In advanced age, the appearance of cognitive deterioration is more frequent, which raises the need to design therapeutic strategies to mitigate it. In addition to drug treatment, there are other interventions such as the type of diet, cognitive training, music therapy, acupuncture, physical exercise, etc. Due to the scientific evidence and the ease of practicing physical exercise as a therapeutic intervention, we propose to carry out a systematic bibliographic review on this treatment. Therefore, our objective is to study the efficacy of physical exercise in mild cognitive impairment and dementia. To this end, a systematic literature search was carried out in PubMed database using the MeSH terms: „Cognitive Dysfunction”, „Dementia”, „Alzheimer Disease”, „Therapeutics”, „Exercise”, „Exercise Therapy” and „Aged”. We define efficacy in terms of improvement in global cognitive status or by cognitive domains after the application of the intervention with physical activity and by applying different scales to assess cognition. It is concluded that aerobic physical activity is the most effective treatment for both mild cognitive impairment and dementia, the most favored cognitive domains being memory, global cognition and executive function. This therapy involves few adverse effects. More randomized controlled studies are needed in order to provide more scientific evidence for these results.
Debtors Prospective Assessment Application using Naive Bayes at Mitra Sejahtera Cooperative

Utilization of historical data into new knowledge can increase added value for its users, including Mitra Setia Cooperative (KMS) which has debtor data that is not utilized. “Not Paid Off” potentioal of debtors cannot be detected as early as possible. In this study using the Naive Bayes algorithm in classifying the feasibility of prospective debtors based on the classification of "Paid Off" and "Not Paid Off" based on parameter of Age, Sex, Amount of Loan, Occupation, Income, and Repayment Period. The research stages consist of (1) Research Initiation, (2) Data Selection, (3) Data Preprocessing, (4) System Design, (5) Program Implementation and (6) Program Testing. The purpose of this study is to minimize the increase in bad loans by implementing the Naive Bayes method in the application of the assessment of prospective debtors. The final result is a debtors prospective assessment application at Mitra Sejahtera Cooperative with an accuracy rate of 86%
Awareness of Artificial Intelligence for News Production among Journalists in Ebonyi state Nigeria

This study is focused on extent of awareness of artificial intelligence for news production among journalists in Ebonyi state. The respondents were the practicing journalists in Ebonyi state. The population of the study comprised the 250 registered journalists in the record of the Nigeria Union of Journalists (NUJ), Ebonyi state. Following the small number of the study population, census sampling was used. Survey research method was adopted by the researcher in eliciting data. In that case, 250 copies of questionnaire were administered to the practicing journalists in Ebonyi state. Simple percentage and frequency tables were used for data analysis. The study was anchored on diffusion of innovation theory and mediamorphosis theory. The objectives of the study includes: (i) to find out the extent of awareness of artificial intelligence for news production among journalists in Ebonyi state (ii) to find out if journalists in Ebonyi state are open to training to acquire skills on AI for news production (iii) to find out the aspect of news production that journalists in Ebonyi state would prefer AI to be deployed. (iv) to find out the probable fears journalists in Ebonyi state have about AI for news production. The study found among others that all the journalists registered under the aegis of the Nigerian union of journalists (NUJ) in Ebonyi state are aware of the use of artificial intelligence for news production. The study made recommendations
INTRODUCTORY REMARKS ON AXIOLOGY OF TECHNOLOGY

Purpose:The main goal of the paper is to present an initial version of possibly comprehensive and detailed axiological fundamentals for the Technology Assessment.Design/methodology/approach: The paper can be placed in the tradition of the analytic philosophyhistorically (in the sense of history of technology) informed.Findings: A classification of values relevant for technology-assessment has been constructed.A certain number of instances have been given for each values-group.Research limitations/implications: The analysis carried out in this text presents the results of the first stage of the technological-axiological studies.They should be widened (many relevant values have not been even mentioned) and analytically developed (more precise descriptions should be given). Practical implications:The axiology-of-technology investigations, even in its present form, can be useful for all institutions and organizations active in the domain of technology assessment and in related fields (in particular: technology policy and management). Social implications:The analyses presented in this text could make the public debates on technology more nuanced and less ideological.They should help overcoming the schematic opposition of techno-optimism and techno-pessimism.Originality/value: The paper seems to start from where many other works end: The general thesis about "saturation" technology with values has been soundly substantiated and can be regarded as well-founded.It is time to make further stepstoward systematic and detailed axiology of technology.This text seems to be one of the first steps in this direction.
INTRODUCTORY REMARKS ON ONTOLOGY OF TECHNOLOGY

Purpose: Technology, understood as a complex and evolving system, still lacks a systematic theory.Such a theory would be both theoretically and practically important.The paper presents an outline of such a theory.Design/methodology/approach: Conceptual analysis availing of general ontology, using analogies with such branches of philosophy as the philosophy of science, and drawing upon general knowledge about history of technology.Findings: A method of classification of the problems of the ontology of technology has been constructed and its usefulnessdemonstrated.A certain number of trends in the evolution of technology have been identified. Research limitations/implications:The field studied in this paper is very broad.Further studies of its sub-fields identified in the present text are badly needed.Practical implications: Social/political implications can be regarded as a type of practical implications. Social implications:The paper can have some social implication, though rather indirect: analytically clear and substantially comprehensive ontology of technology should support broadly understood technology policy and especially its more direct theoretical foundationaxiology of technology (a part of technology assessment).Originality/value: The paper presents a systematic overview of the problems of the ontology of technology.
A Mind Prober as a Metaphor. Of Solar, of Visual, of Parabolic, of Comic, and of Punk Mind

This is an introduction to a special issue of Issues of Literary Types, which has no special topic. The author of the introduction reflects on the metaphor of the mind prober used to define a genre of a topic-free issue of a scientific journal. In the case of a scientific journal, the research area is strictly defined, as in the case of thematic issues: the area is defined by the leading subject matter. It is different in the case of an issue without a topic: the area is outlined, but what topics will stand out in the foreground depends on the current state of the collective mind. In this context, a probe as a tool for examining the collective mind of a group is an extremely attractive metaphor. One computer game program was called “Mind Prober”. It tried to determine a gamer’s personality and give advice based on the gamer’s answers to questions. It is described as an early self-analysis program. We obviously live in the sentimental era as defined by Schiller in an essay called Naive and sentimental. We can define our time by our hopes and dreams such as solarpunk. We can refer to comedy as a genre which is better than tragedy or apocalyptic. Parabole, isomorphism in multimodality, projecting and invisible: they are all genre-like states of mind which might characterize our situation confronting crises and catastrophes.
Do Occupational Stress Affect Employee Performance? The Case of Middle East Organizations

Human resource is one of the major resources that enables an organization to sustain and grow in the present business era, which is characterized by high degree of competition and internal rivalry among the organizations. One of the major elements that has an influence and impact on the overall levels of employee performance is that of occupational stress. High levels of occupational stress has always a negative impact on the performance of employees. This research aims at making an assessment of the impact of occupational stress on employee performance in organizations in the Middle East. It also aimed to assess the overall levels of occupational stress within the factors that caused occupational stress, and the manner in which occupational stress influences employee performance. The study is also intended to put forward recommendations in order to have effective management of occupational stress. In order to address all these aims, a mixed methodology was deployed. The overall findings of the research indicated that occupational stress had a negative impact on the overall performance of the employee, where occupational stress is majorly defined by the presence of role conflict and role ambiguity as well as the lack of career development within the organization.
Utilization of e-ShodhSindhu consortium by faculty members of private autonomous engineering colleges in Andhra Pradesh: Librarians’ perspective

Access to resources is now considered more important than collection building.The consortium facilitated the libraries to get the benefit of wider access to electronic resources at an affordable cost and the best term of licenses.A consortium with the collective strength of resources of various institutions available to it is in a better position to address and resolve the problem of managing, organizing, and archiving the electronic resources.Increase in the habit of reading, and rise in the information through sharing, with economical and cheaper with print resources.To face the challenge of global changes in technical education and to reach by the Autonomous engineering colleges, India is not far behind in providing its academic community and private engineering colleges also.To cater the needs e ShodhSindhu a national consortium is providing e-journals and e-databases to all Indian community and using the same by Private Autonomous colleges is being centred.
Development of Photography Interactive Learning Media at Politeknik Negeri Media Kreatif

The absence of intelligent sight and sound in learning photography at Politeknik Negeri Media Kreatif (Polimedia) is the foundation of this examination. In the conveyance of photography material encountered a few hindrances. One of the primary obstructions is the absence of clear and simple to-work learning media. Polimedia Photography Study Program is the object of exploration. The particular motivation behind this exploration is to foster supporting instruments for photography topic through intuitive learning media identified with photography, and to help understudies and teachers in learning photography so quality learning expanded adequately and learning destinations. This review utilizes the Multimedia Development Life Cycle (MDLC) technique with six phases, specifically: idea, plan, material assortment, gathering, testing, and conveyance. To create an intuitive Learning Media Photography requires 11 sorts of perspectives, to be specific intro &amp; background pages, fundamental photography, structure, openness, aperture &amp; depth of field, Camera Basics, External Flash Photography Basics, Lens Basics, Practical photography, Types of Photography, Photography Techniques. The subsequent intelligent learning media for Photography endures a couple of moments, which utilized for understudies as Photography learning materials
Design and Build a Web-Based People's Library Application in Jambi City

People's library is one of the libraries engaged in literacy and education that provides stalls for free. Free reading is prepared by the People's Library at certain locations, where the general public who are close to the lapak location can read their collection of books for free. The lack of literature and the desire to read the community requires special attention by collaborating with information technology which is used as a medium to publish writings and books by the people's library management and makes it easier for readers who are constrained by distance and time. The media is in the form of a Web-Based People's Library application in Jambi City which was built using the development method with the waterfall method. Programming using PHP programming language with laravel framework and MySQL database. This application can be used by the people's library manager to manage book data or visitors and the general public as a literacy medium to read books and view the collections owned by the people's library
Performance Comparison of Feature Extraction and Machine Learning Classification Algorithms for Face Recognition

Face recognition is a highly active research topic in pattern recognition and computer vision, with numerous practical applications. Face recognition can provide the most natural interaction experience similar to the way humans can recognize others. This paper presents a performance comparison of various machine learning approaches and feature extraction algorithms. The feature extraction algorithm used is Principal Component Analysis (PCA), Latent Dirichlet Allocation (LDA), and a combination of PCA-LDA. The method used is to take a dataset sample and then evaluate and compare machine learning algorithms to analyze accuracy in recognizing faces. We also use feature extraction techniques on facial image capture to speed up data processing. The classification algorithms measured are k-nearest neighbor, naive Bayes, support vector machine, random forest, and gradient boosting. The results showed that the random forest classification algorithm was the most accurate face recognition method. On the other hand, the PCA-LDA combined feature extraction algorithm has lower false-negative and false-positive rates than PCA and LDA. In addition, the PCA feature extraction algorithm has the fastest performance in the process of recognizing faces