Reviewerly/exHarmony huggingface dataset:
Adolescents’ ethnic hate speech exposure and ethnic bullying perpetration: The moderating role of tolerance towards diversity and gender

Information and Communication Technologies have become powerful tools for adolescents, but they have enabled a huge number of online risks, such as being exposed to Online Hate Speech (OHS). High exposure to hateful content has been linked to despicable offline actions, including hate crimes. However, there is a lack of studies considering the associations with certain specific forms, such as the perpetration of bullying. The purpose of this study was to fill this gap in the literature by analysing the associations between exposure to OHS targeting ethnic minorities and ethnic bullying perpetration, and considering the potential moderating role of tolerance towards diversity and of gender. Participants were 960 high school students (53.6% females; Mage = 15 years, SD = 0.59). Data were collected in January/February 2020, before the first lockdown due to the Covid-19 pandemic. Findings suggest that being exposed to ethnic OHS is significantly, but weakly, associated with traditional ethnic bullying perpetration. Moreover, this association is moderated by tolerance towards diversity and by gender. In particular, for male adolescents, at low and middle levels of tolerance, higher ethnic OHS exposure is not associated with a higher tendency to perpetrate bullying toward peers with a different ethnicity. For females, instead, tolerance is not a moderator in the relationship between ethnic OHS exposure and ethnic bullying perpetration. Results are discussed in terms of their practical implications.
Open Problems in Computational Historical Linguistics

<ns3:p>Problems constitute the starting point of all scientific research. The essay reflects on the different kinds of problems that scientists address in their research and discusses a list of 10 problems for the field of computational historical linguistics, that was proposed throughout 2019 in a series of blog posts. In contrast to problems identified in different contexts, these problems were considered to be solvable, but no solution could be proposed back then. By discussing the problems in the light of developments that have been made in the field during the past five years, a modified list is proposed that takes new insights into account but also finds that the majority of the problems has not yet been solved.</ns3:p>
Integrating Internet of Things (IoT) into Library and Information Science (LIS) School's Curriculum in Selected Universities in Nigeria

This study examined incorporating the Internet of Things (IoT) into the LIS curriculum in selected LIS schools in Southwest Nigeria. The study population comprised final students from the LIS degree program in South-west Nigeria's library and information science department. A total enumeration of respondents was used for the research. Data generated were analysed using descriptive statistics. Findings revealed that the significant technology-related courses in the curriculum of LIS are basic computer operations, web publishing, document management and computer in libraries. Undergraduates positively perceived LIS curriculum preparedness for the Internet of Things (IoT). The major problems affecting the full implementation of technology-based related courses of the LIS curriculum in selected LIS schools are a shortage of funds, lack of infrastructure, unreliable power supply, inadequate learning resources and library support. The paper recommended that the Nigerian government come forward through her agents to provide financial help to integrate the Internet of Things (IoT) into LIS schools and develop essential infrastructures that will enhance the hands-on experience for the students.LIS curriculum
Relationship between Strategic Knowledge Management and Self-Management and Organizational

Background: Strategic knowledge management is widely recognized as a pivotal resource for the success of contemporary organizations. Self-management skills of managers are instrumental in fostering an organization’s growth and sustainability in the long run. The present study explores the relationship between strategic knowledge management and self-management and organizational development among managers in Social Security (Tamin-e Ejtemaei) Hospitals in the city of Isfahan.&#x0D; Methods: This was a practical, descriptive, and survey-based research with a correlational design, classified as field study. This study was conducted in 2022 on 117 managers of Tamin-e Ejtemae’i hospitals (Dr. Ali Shariati Hospital and Dr. Gharazi Hospital) in the city of Isfahan. Strategic knowledge management was measured using Lopez-Nicholas and Mariano-Cardenas questionnaire, self-management was evaluated through SMSQ questionnaire devised by Houghton and Neck, and organizational development was assessed using the Lok and Crawford questionnaire. The collected data underwent analysis using SPSS 26 software and the statistical methods applied Spearman’s rank correlation test, Tukey’s test and significance level was set at 0.05.&#x0D; Results: A significant correlation was observed between strategic knowledge management and self-management (P-value = 0.027), strategic knowledge management and organizational development (P-value = 0.000), and between organizational development and self-management (P-value = 0.000). Regarding organizational development, the highest average score was associated with relationships (a score of 20.5172); for strategic knowledge management, explicit knowledge received the highest average score (a score of 21.2632), and concerning self-management, personal goal setting obtained the highest average score (a score of 20.1810).&#x0D; Conclusion: Investing in strategic knowledge management, focusing on intellectual capacities, and increasing managers’ self-management improves performance and organizational development in hospitals.
Evaluation Method for Hosting Capacity of Rooftop Photovoltaic Considering Photovoltaic Potential in Distribution System

Regarding the existing evaluation methods for photovoltaic (PV) hosting capacity in the distribution system that do not consider the spatial distribution of rooftop photovoltaic potential and are difficult to apply on the actual large-scale distribution systems, this paper proposes a PV hosting capacity evaluation method based on the improved PSPNet, grid multi-source data, and the CRITIC method. Firstly, an improved PSPNet is used to efficiently abstract the rooftop in satellite map images and then estimate the rooftop PV potential of each distribution substation supply area. Considering the safety, economy, and flexibility of distribution system operation, we establish a multi-level PV hosting capacity evaluation system. Finally, based on the rooftop PV potential estimation of each distribution substation supply area, we combine the multi-source data of the grid digitalization system to carry out security verification and indicator calculation and convert the indicator calculation results of each scenario into a comprehensive score through the CRITIC method. We estimate the rooftop photovoltaic potential and evaluate the PV hosting capacity of an actual 10 kV distribution system in Shantou, China. The results show that the improved PSPNet solves the hole problem of the original model and obtains a close-to-realistic rooftop photovoltaic potential estimation value. In addition, the proposed method considering the photovoltaic potential in this paper can more accurately evaluate the rooftop PV hosting capacity of the distribution system compared with the traditional method, which provides data support for the power grid corporation to formulate a reasonable PV development and hosting capacity enhancement program.
The Role of Typological Feature Prediction in NLP and Linguistics

Abstract Computational typology has gained traction in the field of Natural Language Processing (NLP) in recent years, as evidenced by the increasing number of papers on the topic and the establishment of a Special Interest Group on the topic (SIGTYP), including the organization of successful workshops and shared tasks. A considerable amount of work in this sub-field is concerned with prediction of typological features, e.g., for databases such as the World Atlas of Language Structures (WALS) or Grambank. Prediction is argued to be useful either because (1) it allows for obtaining feature values for relatively undocumented languages, alleviating the sparseness in WALS, in turn argued to be useful for both NLP and linguistics; and (2) it allows us to probe models to see whether or not these typological features are encapsulated in, e.g., language representations. In this article, we present a critical stance concerning prediction of typological features, investigating to what extent this line of research is aligned with purported needs—both from the perspective of NLP practitioners, and perhaps more importantly, from the perspective of linguists specialized in typology and language documentation. We provide evidence that this line of research in its current state suffers from a lack of interdisciplinary alignment. Based on an extensive survey of the linguistic typology community, we present concrete recommendations for future research in order to improve this alignment between linguists and NLP researchers, beyond the scope of typological feature prediction.
Stabilization of turbulence-degraded video usingpatch-based reference frame

Imaging over long distances in the atmosphere can result in significant degradation of the acquired videos due to atmospheric turbulence. This degradation can include problems such as blurring and geometric distortion, and it is challenging to correct these distortions because of their randomness in nature. To address this, a new method for improving the geometrical quality of video sequences of remote stationary scenes is introduced in this paper. The method uses a patch-based approach to obtain a reference frame from the distorted video sequence, selecting the best quality patches from different frames. A window-based image registration method is then used to estimate the geometrical shifts of the pixels, which are used to restore a high-quality frame. The proposed method is compared with two similar state-of-the-art video stabilization methods using experiments on both synthetic and real video sequences. Results demonstrate that the patch-based method outperforms the other methods in terms of accuracy.
Resonant properties of the memory capacity of a laser-based reservoir computer with filtered optoelectronic feedback

We provide a comprehensive analysis of the resonant properties of the memory capacity of a reservoir computer based on a semiconductor laser subjected to time-delayed filtered optoelectronic feedback. Our analysis reveals first how the memory capacity decreases sharply when the input-data clock cycle is slightly time-shifted from the time delay or its multiples. We attribute this effect to the inertial properties of the laser. We also report on the damping of the memory-capacity drop at resonance with a decrease of the virtual-node density and its broadening with the filtering properties of the optoelectronic feedback. These results are interpretated using the eigenspectrum of the reservoir obtained from a linear stability analysis. Then, we unveil an invariance in the minimum value of the memory capacity at resonance with respect to a variation of the number of nodes if the number is big enough and quantify how the filtering properties impact the system memory in and out of resonance.
A Heuristic Evaluation of Partitioning Techniques Considering Early-Type Galaxy Databases

Galaxies are one of the most interesting and complex astronomical objects statistically due to their continuous diversification caused mainly due to incidents such as accretion, action, or mergers. Multivariate studies are one of the most useful tools to analyze these type of data and to understand various components of them. We study a sample of the local universe of Orlando 509 galaxies, imputed with a Predictive Mean Matching (PMM) multiple imputation algorithm, with the aim of classifying the galaxies into distinct clusters through k-medoids and k-mean algorithms and, in turn, performing a heuristic evaluation of the two partitioning algorithms through the percentage of misclassification observed. From the clustering algorithms, it was observed that there were four distinct clusters of the galaxies with misclassification of about 1.96%. Also, comparing the percentage of misclassification heuristically k-means is a superior algorithm to k-medoids under fixed optimal sizes when the said category of galaxy datasets is concerned. By considering that galaxies are continuously evolving complex objects and using appropriate statistical tools, we are able to derive an explanatory classification of galaxies, based on the physical diverse properties of galaxies, and also establish a better method of partitioning when working on the galaxies.
Penerapan Model Pembelajaran Cooperatif Integrated Reading And Compotion Meningkatkan Aktifitas dan Hasil Belajar Memahami Teks Panjang Siswa Kelas III SD Negeri 47 Kota Jambi

Students are subjects who are always researched for complete learning. Likewise, class III students at SD Negeri 47 Jambi City were the subjects of this research. The low activity and learning outcomes of class III students in the Indonesian language subject with the material "Understanding Long Texts" is the background for this learning improvement research. Researchers have seen the results of pre-cycle learning, the achievement of completeness only reached 29%. The desire to improve and improve learning activities and outcomes, as a solution, the researcher applied a learning strategy with the Cooperative Integrative Reading and Composition (CIRC) model which integrates reading as a whole and then composes it into important parts. A comprehensive model for teaching reading, writing, and language arts in the upper grades. The procedure for implementing learning improvements is carried out in 3 cycles with 6 meetings. After the improvements, the researchers concluded that there was an increase in the average classical completeness for student activities from cycle 1 (one) 60% to cycle 3 reaching 96% and student learning outcomes from cycle 1 averaged 71% completeness until cycle 3 reached 96%. In cycle 1, 9 people did not complete the first meeting, whereas after the last implementation in cycle 3 all students had completed. This gradual completion shows that the effectiveness of this learning model is very suitable for reading learning with the aim of understanding. However, it is not suitable for numeracy learning. Keywords: CIRC, Learning Outcomes, Understanding Long Texts
Penerapan Model Cooperative Integrated Reading and Compostion (CIRC) pada Tema 5 untuk Meningkatkan Kemampuan Membaca Siswa Kelas IV SD Negeri Lamjampok Kabupaten Aceh Besar

The CIRC model is a learning model that involves students actively in the learning process to help students understand the contents of readings that are done individually or in groups. Reading is an activity of absorbing various information and knowledge as well as new insights that can increase one's intelligence so that he is able to answer life's challenges in the future. This study aims to find out how to improve students' reading through the CIRC model of fourth grade students at SDN Lamjampok, to find out the teacher's activities in improving reading and writing skills through the CIRC model of fourth grade students at SDN Lamjampok. The approach used in this research is a qualitative approach with participatory collaborative research. The subjects in this study were teachers and fourth grade students at SD Negeri Lampjampok Aceh Besar, totaling 1 teacher and 20 students. Data collection techniques are carried out by means of observation and tests. The data is processed by the data analysis stage, namely observational analysis of students' reading abilities. The results of research in cycle I, cycle II, and cycle III obtained data that teacher activity in learning has increased in each cycle. Student activity also increased starting from cycle I with a score of 48, cycle II with a score of 60, and cycle II with a score of 80. The results also showed that the application of the Cooperative Integrated Reading Composition (CIRC) learning model could improve the reading ability of fourth grade students. SD Negeri Lampampok Aceh Besar. With the mastery of students' reading skills in the first cycle 50%, in the second cycle 65%, and in the third cycle 85%. Keywords: Model Cooperative Integrated Reading And Composition (CIRC), students' reading ability.
Penerapan Model TGT Berbasis Media Papan Musi untuk Meningkatkan Hasil Belajar Perkalian dan Pembagian Siswa Kelas II SD Negeri 27 Banda Aceh

In essence, mathematics is abstract while elementary students scientifically think concretely. This makes learning mathematics at school very prone to difficulties so that it makes students bored and bored. One solution is to provide interesting and fun learning models and media. In addition, learning models and media must be adapted to the characteristics of the child. The purpose of this study was to determine student learning activities, student learning outcomes and student responses in the learning process through the application of the TGT model based on musi board media in learning mathematics on multiplication and division material in class II B. The research subjects were students of class II B SDN 27 Banda Aceh, totaling 29 people, consisting of 16 male students and 13 female students. This study used 3 cycles of classroom action research. Each cycle consists of 4 stages, namely planning, implementation, observation and reflection. Data was collected using student activity observation sheets, learning achievement tests and student response questionnaires. From the analysis results, it can be seen that the average score of the students in the first cycle was 83.44, 19 students (65.52%) completed the learning process, and 10 students (34.48%) completed the learning process. In the second cycle, the students' average grade was 85.86, with 23 students (79.32%) completing and 6 students (20.68%) completing. In cycle III the average student achievement was 91.72 and students who completed were 28 students (96.55%) and students who did not complete 1 student (3.45%). Student activity has increased from cycle I to cycle III. This can be seen from the average score in cycle I which was obtained at 3.4, in cycle II the average value was obtained at 3.7 and in cycle III it increased to 3.9. In student responses, scores of 97% were in the high category.
Application of Physical Animation and Simulation Technology Based on Multimedia Technology in the Interpretation of Physical Complex Concepts

This paper discusses the application effect and value of physical animation and simulation technology based on multimedia technology in the interpretation of complex physical concepts from the perspectives of theory and teaching practice. First of all, through analysis, understand the application status, advantages and limitations of physical animation and simulation technology in teaching; Secondly, through specific teaching cases and practical experience, this paper discusses how to use multimedia technology reasonably to improve teaching effect and students' understanding ability. Finally, according to the research results and teaching practice experience, some targeted teaching suggestions and application strategies are put forward to provide useful reference for physics education. Its research significance and value lie in: on the one hand, through in-depth discussion and analysis of the application of multimedia technology in physics education, it reveals its mechanism in improving teaching effect and students' understanding ability; On the other hand, it provides effective teaching methods and means for physics teachers to help them better explain the complex concepts of physics and improve the teaching quality and effect; Finally, it provides new ideas and methods for the future research of physics education and promotes the continuous innovation and development of physics education.
Usability Evaluation of Two National COVID-19 Registration Systems: A Heuristic Evaluation

Background: Data related to COVID-19 are increasing daily; the data analysis of the COVID-19 registry can provide critical information to policymakers and researchers for planning. The poor user interface design of these systems leads to problems in interacting with them. The present study aimed to evaluate the usability of two national systems to record daily data related to COVID-19 patients throughout hospitals in Iran called the "Medical Care Monitoring Center" (MCMC) and the "Electronic System for Syndromic Surveillance of Infectious Diseases" (ISSS). Methods: The interface of the aforementioned systems was assessed using a heuristic evaluation (HE) method in this descriptive, cross-sectional study. Using Nielsen’s 10 usability principles, three trained evaluators identified problems and determined each system’s severity rates independently. Results: This evaluation identified 164 usability problems, including 59 issues in the "ISSS" system and 105 violations in the "MCMC" system. The highest number of ISSS system problems was related to "Consistency and standard" and "Flexibility and efficiency of use". The average severity of problems in this system varied from 2 concerning "Consistency and standards", "Help users recognize, diagnose, and recover from errors", and "Help and documentation" to 3.6 concerning "Visibility of system status". The highest number of MCMC system problems was associated with "Help and documentation" and "Consistency and standards". The average severity of problems in this system varied from 2 to 3.28 regarding "Help and documentation" and "Recognition rather than recall", respectively. Conclusion: Errors may be decreased, data quality can be raised, and interactions can be enhanced by taking into account standards and guidelines for user interface design, such as the HE utilized in this work.
Analisa Proses Editing Video Berita Menggunakan Software Edius Dan Adobe Premiere Pada Pasca Produksi Untuk Program Televisi Di PT. Indrasakti Media Televisi

The analysis of this study is to provide a good overview of the advantages and disadvantages of the two video editing platforms, namely Edius and Adobe Premiere, in the context of the news video editing process in post-production. The analysis also highlights that the decision to choose between the two comes down to user preference, whether they prefer a broad feature set or a more seamless editing experience. The last comments have provided clear recommendations to users with different needs. Users who need a lot of features tend to prefer Adobe Premiere, while those who prefer agility and fluency in the editing process may prefer Edius.