Reviewerly/exHarmony huggingface dataset:
University Rebranding Methodology

The article is devoted to rebranding procedure — a process that accompanies universities in a situation of merger, ideological or visual obsolescence of brand, expansion or significant increase in scope of the university, loss of loyalty on the part of the consumer of the service and/or crisis. The paper analyzes the experience of several Russian universities and for the first time describes the rebranding process at Peoples’ Friendship University of Russia in 2017. The main stages of the described procedure are the analysis of the current situation in terms of the university image, the definition of stakeholders and the competitive advantage of the university in the educational services market, and the training of staff in brand presentation tactics. The proposed methodology is based on the positive experience of Russian universities and contains such steps as building a university development program taking into account stakeholders’ interests; accentuation on external attributes given the history of the university; creation of such positions as university mission, university emblem and slogan, corporate identity; building up the material and technical base; determination of the scientific profile of the university; search for strategic partners; measures to develop brand awareness in society, which include work with local and regional media, with the university website, and souvenirs.
The Application of Section 8 of Cybercrimes Act 19 of 2020 in Civil Procedure in South Africa is a Hailing Snow: A Comparative Studies between South Africa and United Kingdom

In South Africa the legislature passed a statute that regulates cyber fraud that is called Cybercrimes Act 19 of 2020 in an attempt to combat cybercrimes, which include cyber fraud. The commission of cyber fraud in Civil Procedure constitutes a cause of action that enables the victim to claim for damages. It is not clear in terms of Cybercrimes Act whether the victim may institute proceedings whilst the matter is pending before the court in criminal proceedings or after the perpetrator is convicted. This raises a question on the application of the two common law principles that the defendant may raise as a special plea. Thus, res judicata and lis pendens may be raised as a special plea to prevent the victim of cyber fraud from receiving compensation for damages suffered. This prejudices the victims because some of the consequences that result from cyber fraud are dire to the victim. For example, the victim may loose money, property and may psychologically be affected as a result of cyber fraud. This article follows a qualitative research methodology that is based on an analysis in jurisprudence. Thus, the article looks at section 8 of the Cybercrimes Act, judicial precedent, as well as scholarly views shared by various authors to determine the gap. The author provides a solution, as well as recommendations that will ensure that the victims have a recourse in Civil Procedure. Moreover, there is evidence that proves that cyber fraud does exist in jurisdictions such as the United Kingdom. The article examines the legal position of cyber fraud in the United Kingdom and does a comparative studies between South Africa and the United Kingdom.
Smart pictorial dictionary via mobile augmented reality

Augmented reality (AR) technology offers many benefits for language teaching and learning. Using the AR technique in pedagogy attracts and engages children to learn and memorize easily, even in a short time. Visual representation learning method like a pictorial dictionary is one of the beginnings of learning for children. It helps children to visualize the object and memorize it in effective ways. Based on the survey conducted in one of the primary schools at Merlimau, Melaka, it was found that the children have difficulties in learning English. The development of pictorial dictionaries with the combination of AR technology in 3D that are presented in the form of mobile applications can be used to improve existing learning methods in English. The method used during the development of this application is the ADDIE model, which comes with five phases: analysis, design, development, implementation, and evaluation. The development of the ‘smart pictorial dictionary via mobile AR application has been done successfully and has received positive results. Based on the evaluation using the attention relevance confidence satisfaction (ARCS) model, the output has an overall mean of 4.58, which shows that using AR technology in early childhood learning makes children learn more.
Development of Poetry Writing Guidebook Using Mind Mapping Model for Primary School Students

An important problem that is often faced by teachers in learning activities is choosing and determining appropriate learning materials or teaching materials in order to help students achieve competence. This study aims to develop a guidebook for writing poetry using the mind mapping model for fifth grade elementary school students, namely, (1) describing the profile of poetry, (2) describing the assessment of media experts and material experts on the prototype guidebook, and (3) describing the limited effectiveness test in class V students at SDN 105366 Sei Naga Lawan. This study uses research and development methods. This research is research that is used to produce certain products, and test the effectiveness of these products in class V students at SDN 105366 Sei Naga Lawan. Based on the results of this study, it can be stated as follows: (a) seen from the cover side of the book, students and teachers need an attractive design and are easy to carry everywhere, (b) seen from the content side, students and teachers need books that use standard language, simple, and communicative so that it makes it easier for students to learn it, (c) the dimensions of the book cover scored 90%, (d) the dimensions of the guidebook form scored 90, (e) the dimensions of the guidebook contents scored 98%. 3) The conclusion about the effectiveness test is limited to fifth grade students at SDN 105366 Sei Naga Lawan, the results of the research on writing narrative essays with guidebooks produce an average score of 95%.
Impact of the Internet of Things (IOT) on Logistics

The logistics company creates a completely digital, flexible, and integrated supply chain that is best suited for e-commerce packages. Due to the use of cutting-edge technology, digitization is growing in popularity in the transportation and logistics industry. Hardware that connects all smart devices, including sensors, motors, and gadgets, is known as the logistics industry's Internet of Things (IoT). It provides fleet management, automatic warehouse operations, and operational performance. The Internet of Things will preserve all the data produced with the assistance of the operations and logistics sector. Later analysis of this record is done to increase productivity and safety. His Internet of Things in logistics is a multi-billion-dollar industry. Moreover, the global IoT in the logistics industry is being driven by rising pricing pressures and a rising need for technological automation. Through integrated electronics, sensors, and social connections, the internet of things is a network that links many devices. The logistics market is worth billions of dollars to IoT. It enables organisations to optimise production, lower production expenses, and lower the cost of raw materials. One of the factors influencing the industry is the ability to track logistics in real time and the development of delivery chains. However, the market's expansion is constrained by a lack of skilled labour, high costs, and rigid government restrictions and norms.
Interdisciplinary perspectives on privacy awareness in lifelogging technology development

Abstract Population aging resulting from demographic changes requires some challenging decisions and necessary steps to be taken by different stakeholders to manage current and future demand for assistance and support. The consequences of population aging can be mitigated to some extent by assisting technologies that can support the autonomous living of older individuals and persons in need of care in their private environments as long as possible. A variety of technical solutions are already available on the market, but privacy protection is a serious, often neglected, issue when using such (assisting) technology. Thus, privacy needs to be thoroughly taken under consideration in this context. In a three-year project PAAL (‘Privacy-Aware and Acceptable Lifelogging Services for Older and Frail People’), researchers from different disciplines, such as law, rehabilitation, human-computer interaction, and computer science, investigated the phenomenon of privacy when using assistive lifelogging technologies. In concrete terms, the concept of Privacy by Design was realized using two exemplary lifelogging applications in private and professional environments. A user-centered empirical approach was applied to the lifelogging technologies, investigating the perceptions and attitudes of (older) users with different health-related and biographical profiles. The knowledge gained through the interdisciplinary collaboration can improve the implementation and optimization of assistive applications. In this paper, partners of the PAAL project present insights gained from their cross-national, interdisciplinary work regarding privacy-aware and acceptable lifelogging technologies.
Perception of Teachers about the Role of Parents in Developing Reading Habit of Basic Level Students

This study aimed to explore teachers’ perceptions about the role of parents in developing the reading habit of children to improve academic performance. In this qualitative study, semi-structured interviews were used for data collection, which enabled me in capturing qualitative experiences, opinions, beliefs, and perceptions of purposefully selected participants. The participants were three basic level English teachers from Rupandehi district, Lumbini Province, Nepal. Social constructivism of Vygotsky (1978) has been used as a theory in this study. The data were analyzed using a thematic analysis approach. The study confirmed that parents’ involvement is crucial in developing children’s reading habits. The parents’ continuous support in reading further enhances the academic performance of the children. The study helped me understand how children’s reading habits enable them to learn English from childhood, which thrives for further educational enhancement. It particularly appeals to and makes parents aware of their influential role in helping children begin reading habits at home.
Contemporary Practice of Natural Science Training in Higher Education Institutions in Poland, Hungary and the Czech Republic: Neurobiological Aspects of Psychology

The article examines the program principles and subject content of natural science training of future psychologists in Central Europe (Poland, Hungary and the Czech Republic). The choice of these countries for the study is due to the fact that despite short period of membership in the European Union, the countries achieved a significant progress in developing national education systems. The purpose of the article is to identify the main trends in natural science training of future psychologists and their correlation with the latest ideas of neurobiology, which is gradually becoming complementary to psychological, pedagogical and other humanities. Using methods of analysis (content analysis of educational programs; analysis of educational content for accordance with the latest advances in neurobiology), comparative method, statistical methods and extrapolation method, it was found that natural science training in universities in Poland, Hungary and the Czech Republic partially corresponds to practical application of neurobiology in the professional practice of psychologists. We present specific aspects of qualitative differences in the conclusions. We also calculated that the quantitative ratio of major subjects differs: the volume of credits for natural science training of future psychologists in the curricula of the analysed higher education institutions in Poland is about 6%, in the Czech Republic - 9-10%, and in Hungary - 11-12%. The international significance of the article lies in identification of positive practical and formal approaches to neurobiological training, which requires organizational and methodological reforms of psychological education in Eastern Europe.
Application of boundary element method with convolution core in solving carrier evolution equation

Carrier evolution equation (continuity equation) of semi-conductor plays an essential role in simulation of laser interference and electrical damage induced by laser irradiation on charge coupled device (CCD). Solving the Poisson equation, which is coupled with the carrier evolution equation, is a necessary step to obtain the stable electronic field caused by doped atoms and the dynamic one caused by free carriers. In terms of carrier evolution simulation in high resolution-CCD, it is important to solve the Poisson equation promptly and efficiently. For this purpose, we adopt a boundary element method with convolution core combined with Gauss integral algorithm. In this method, we propose the pixel element model in which fast Fourier transform (FFT) is introduced so that the amount of calculation is greatly decreased compared with the finite difference method. In this approach, it is possible to simulate carrier evolution in high-resolution-CCD even on a common personal computer.
Pengaruh Perkembangan Motor Custom Dan Aspek Legalitas Terhadap Minat Konsumen Pada Motor Modifikasi Di Kota Metro

The influence of the development of custom motorbikes is currently so rapid and spreading from young to old. The main problems with custom motorbikes include the safety and legality aspects of the custom motorbike. The purpose of this study to determine effect of the development of custom motorbikes and the legality on consumer interest in modified motorbikes. The research design is quantitative research or verification research. The method is documentation method. The object aredevelopment of custom motorbikes, legality and consumer interest. This research activity in modified motorcycle workshops in Metro City. The data collection technique used a questionnaire with a questionnaire. The analytical tool is descriptive analysis and multiple linear regression analysis with SPSS. Results showed that partially the development of custom motorbikes and legality had a significant effect on consumer interest. Simultaneously it also shows that the development of custom motorbikes and the legality of custom motorbikes on consumer interest.
Tren Publikasi Jurnal Open Access di Indonesia

The purpose of this research is to determine the publication trend of open access journals in Indonesia. A systematic review was used as the research method in this study. The focus of this study is to identify the themes that are most frequently discussed and discovered in studies on open access journals in Indonesia. According to the findings of this study, the most frequently discussed research themes were those concerning journal governance, marketing strategies, user perspectives, and matrices. Although several themes were discovered, the most frequently discussed theme was journal governance, specifically the challenges and problems faced by journal managers. Financing issues, journal quality, and piracy are among the challenges and issues discussed. This is due to the state of open access journals, which are still evolving in response to technological advancements.
Preface

5th International Conference on Electrical, Electronics, Informatics, and Vocational Education (ICE-ELINVO 2022) The International Conference on Electrical, Electronics, Informatics, and Vocational Education (ICE-ELINVO 2022) was held successfully for the fifth time on October 6th, 2022. The event aims to explore ideas, research progress, technology, development, and collaboration among researchers. This conference is an annual conference series organized by Universitas Negeri Yogyakarta. Due to the pandemic situation, the event was held virtually. However, the participants’ enthusiasm for participating in this event was remarkable. There are more than one hundred participants including the invited speakers, contributed speakers, and audience during this event. Each of the plenary talks was provided with a 30 minutes speech and 10 minutes for interactive questions time. Meanwhile, for the contributed talks, each presenter was given 10 minutes speech and 5 minutes for interactive questions time. We do realize that the success of the conference lies in the participation of the delegate and the quality of papers presented. However, we also know this will not be possible without help and efforts put in by the committee, reviewers, volunteers as well as the members of the organizing committee. Their dedicated contributions to this conference are very much acknowledged and appreciated. We want to express our deep gratitude for generous support from the Directorate of Research and Community Service Universitas Negeri Yogyakarta and Center of Excellence in Higher Education Science and Technology Ministry of Education and Culture of the Republic of Indonesia, a sincere appreciation is addressed to all participants and the committee for their support and contributions to ICE-ELINVO 2022 international conference. List of Editor in Chief, Patron, Steering Committee, Conference Chair, Co-Conference Chairs, Secretary, Treasurer, Proceeding Editor, Organizing Committee are available in this Pdf.
Tamper-Proof Storage of User Movement Logs in Smart Parks

With the introduction of the smart city concept and the rapid development of various emerging technologies such as cloud computing, Internet of Things, big data and artificial intelligence, traditional parks have also ushered in new opportunities and are developing in a smarter direction. Since the park is an open area with frequent movement of people and equipment, it is prone to security problems. At this point, logs will be a good aid for incident accountability. In this paper, we mainly use Merkle hash tree and distributed storage for secure storage of logs. Meanwhile, to ensure the non-repudiation of logs, the signatures of users and log-generating devices are required when generating logs. After analysis, the scheme proposed in this paper can achieve tamper-proof and traceability of logs.
Problems using structural MRIs from the oldest‐old, and some solutions: Lessons learned from The 90+ Study and ADNI

Abstract Background The oldest‐old (≥85 years) have the highest rates of dementia. However, because of pronounced brain atrophy, standard neuroimaging programs face unique challenges in this cohort. Here, using data from both The 90+ Study and Alzheimer’s Disease Neuroimaging Initiative (ADNI), we report the prevalence of errors when processing brain MRIs from oldest‐old participants using standard approaches and present some strategies for ameliorating these issues. Method First, we analyzed image quality issues and segmentation errors (FreeSurfer) for the last available scans by age‐groups (oldest‐old, ≥85 years, vs younger‐old, 55 to 85 years) in ADNI. Second, we evaluated the utility of an age‐specific template (the 90+ T1w Template) for realigning MRIs from the oldest‐old compared to a standard template (Montreal Neurological Institute T1w template, MNI) using linear and nonlinear registration (FSL) and evaluating alignment quality using visual and deformation (Jacobian) measures for oldest‐old participants (≥90 years) in both The 90+ Study and ADNI. Lastly, we evaluated whether stringent preprocessing (bias field removal, denoising, brain extraction, intensity normalization using Computational Anatomy Toolbox (CAT12)) helped reduce FreeSurfer segmentation errors in frontal, parietal, and temporal regions in MRIs from the oldest‐old. Comparisons were performed using Chi‐square tests. Result In ADNI data ( Table‐1 ), MRIs from oldest‐old participants (∼10% of cohort) were around twice as likely to have image quality issues (20% vs 13%, P&lt;0.001) and brain segmentation errors (45% vs 29%, P&lt;0.001) compared to younger‐old participants. Figure‐1 shows a histogram of image quality issues and segmentation errors, which become more common with greater age. Compared to the MNI template, MRIs from participants aged 90 and older from both The 90+ Study (N=163, Table‐2 ) and ADNI (N=75) had fewer registration errors (∼5% vs ∼23%, P&lt;0.001 for all) and less severe deformation when using the 90+ T1w Template ( Figure‐2 ). Our proposed preprocessing pipeline (see Figure‐3 for example) roughly halved segmentation errors in the oldest‐old (P&lt;0.001 for all regions, Figure‐4 ). Conclusion Our results show that adapting pipelines specifically for processing brain MRIs of oldest‐old participants minimizes errors, enabling more effective use of neuroimaging to study neural correlates of neurodegeneration and dementia in this important portion of our aging population.
Histopathologic Brain Age Estimation via Context‐aware Attention‐based Deep Multiple Instance Learning

Abstract Background While a large list of age‐related changes have been described in the human brain, the extent to which they represent the result of common pathological reactions versus signatures of underlying brain aging remains unclear. One approach to sorting out the relative importance of the myriad of changes is deep learning, which has emerged as a powerful tool for image analysis and computer vision. However, large digitized whole slide image datasets from human aging brains have not been previously available. Method In this study, we leveraged a large novel collection of uniformly processed digitized human post‐mortem brain tissue sections to create a histological brain age estimation model. We further investigated the effect of cognitive impairment and exogenous stress on the model. This was accomplished by developing a context‐aware attention‐based deep multiple instance learning model on 702 human brain tissues sections (age range 50‐110 yr) from the hippocampus stained with Luxol Fast Blue counterstained with hematoxylin and eosin (LH&amp;E) on a brain age estimation task. Result Our model estimated brain age within a mean absolute error of 6.2 years. Learned attention weights corresponded to neuroanatomical regions known to be vulnerable to age‐related change. We found that deviations from our estimated histopathologic brain age significantly correlated with the clinical marker of cognitive status ( p= 0.042). In addition, we found evidence of significantly accelerated age ( p =1.12x10‐23) in a cohort of subjects with a neuropathological diagnosis of chronic traumatic encephalopathy (CTE), a neurodegenerative disease caused by mild yet repetitive traumatic brain injury, that displays features that overlap with aging. Conclusion These data indicate that estimated histopathologic age can be used as a reliable pathologic correlate to identify factors that contribute to accelerated or decelerated brain aging.