Reviewerly/exHarmony huggingface dataset:
Penerapan Metode Picture And Picture Untuk Meningkatkan Kemampuan Berhitung Siswa Kelas II SD Negeri 01 Mamben Daya

This study aims to determine the effect of applying the picture and picture method to improve the numeracy skills of grade II students at SD Negeri 01 Mamben Daya for the 2022/2023 academic year. The research subjects were grade II students at SD Negeri 01 Mamben Daya with a total of 31 students consisting of 17 boys and 14 girls.&#x0D; The results of this study indicate that the results of the evaluation using a written test in the form of multiple choices to find out the acquisition of students' numeracy skills are quite good, namely from the first cycle the results were 64%, which then increased by 20% so that the proportion of completeness in the second cycle became 84% with an average class cycle I of 64 which then increased in cycle II to 84. Thus the application of the picture and picture method to improve numeracy skills in class II students at SD Negeri 01 mamben daya for the 2022/2023 academic year can improve participants' numeracy skills educate.
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation

Magnitude-based pruning is a technique used to optimise deep learning models for edge inference. We have achieved over 75% model size reduction with a higher accuracy than the original multi-output regression model for head-pose estimation.
Pelatihan Penggunaan Content Management System dengan Wordpress untuk Website Umum dan Bisnis pada Siswa SMK Negeri 1 Sorong

Website is one of the main components of the Internet, therefore those who are able to create website may able to influence, share, sell, advertise their or their company/organization content or products. Especially during the Covid-19 era everything information or business has become available online. This community service aimed to teach and bring awareness of CMS, a non coding method and system that can help user to create website quite fast. One of the advantages of WordPress is that it can be used for various websites and applications. For example, you can use WordPress to create a simple website, to a business website. For business websites, one of the plugin modules provided by WordPress is Woocommerce. With Woocommerce users can make WordPress display into an online store or online store quite easily. According to the questionnaire the training gave user a new perspective that creating and publishing website is isn’t that complicated after all when using Wordpress.
Исследовательский климат в России: барьеры реализации исследовательского потенциала молодежи

&nbsp;Recruiting young people into science and creating favorable conditions for the realization of their research potential is one of the important goals of the innovation economy. The purpose of this study is to analyze the research climate in Russia and the barriers to self-realization of young scientists. The theoretical and methodological basis is the institutional approach. The research climate is understood as a set of institutional opportunities for realizing the potential of scientists. The empirical method is the questioning of young scientists from 18 to 40 years old (N&nbsp;=&nbsp;1&nbsp;276) from 63 subjects of the Russian Federation. The survey was conducted from May to August 2022. The sample included «professional» scientists employed in scientific and educational organizations, and «potential» scientists (students of universities). The results of the study show that young scientists most often feel financial dissatisfaction with scientific activities, and are worried about the socio-economic situation in Russia in connection with current events. According to the majority of respondents, science will undergo negative changes. Based on the results of the study, practical recommendations were developed to improve the research climate in Russia: a variety of grant programs and information work to promote them, the introduction of preferential mortgages with state support for young scientists, targeted assistance to young scientists belonging to socially vulnerable segments of the population. It is necessary to consolidate the concept of a young scientist in the law and increase the upper age limit for support programs (up to 40 years for candidates of sciences and 45 for doctors). The conclusions and recommendations presented in the article can be used in the field of science and higher education management.
Customer Complain Detection in E-commerce Platforms using NLP

Online shopping has gained significant popularity in recent years.However, one major issue with online shopping is that buyers cannot physically inspect the products and so they have to rely on user reviews.In this paper, we construct a novel dataset for online reviews in the low-resourced Bengali language.Moreover, we conduct extensive experiments with strong deep learning-based baselines to benchmark the performance of such models in our dataset.We have applied RNN and Fast Text DNN to read customer's feedback and identify areas of dissatisfaction and satisfaction.We have found that Fast Text DNN performed better then RNN with an accuracy of 74%.
InterCriteria Analysis as a tool for analyzing Big Data datasets: Case study of 2021 national statistics of Bulgarian system of higher education

In the paper, the intuitionistic fuzzy sets based InterCriteria Analysis (ICA) and big data systems are applied to the 2021 dataset of the National Statistical Institute with respect to the Bulgarian system of higher education. The results are produced using the Big Data platform Hortonworks and the ICA software ICrAData. Discussion is presented on the discovered relationships regarding tendencies between enrolled and graduated students, and teaching staff.
Multi-Task Learning for Compositional Data via Sparse Network Lasso

Multi-task learning is a statistical methodology that aims to improve the generalization performances of estimation and prediction tasks by sharing common information among multiple tasks. On the other hand, compositional data consist of proportions as components summing to one. Because components of compositional data depend on each other, existing methods for multi-task learning cannot be directly applied to them. In the framework of multi-task learning, a network lasso regularization enables us to consider each sample as a single task and construct different models for each one. In this paper, we propose a multi-task learning method for compositional data using a sparse network lasso. We focus on a symmetric form of the log-contrast model, which is a regression model with compositional covariates. Our proposed method enables us to extract latent clusters and relevant variables for compositional data by considering relationships among samples. The effectiveness of the proposed method is evaluated through simulation studies and application to gut microbiome data. Both results show that the prediction accuracy of our proposed method is better than existing methods when information about relationships among samples is appropriately obtained.
The Development of Digital Textbook Using eXe Format to Elevate Learning Effectiveness in History Instruction at The Second Grade of Senior High School

This research aims to produce a digital textbook using eXe format (E-Learning XHTML Editor) in the History subject of the second grade of senior high school in a chapter focusing on “Dutch Military Aggression.” The textbook has been proven valid and feasible to increase students’ engagement in History learning. In addition, it aims to encourage students’ independent learning and help them reach minimum passing criteria (henceforth MPC), which implies the goal of improved learning effectiveness. The development of digital textbooks using eXe formats applied the ASSURE development model proposed by Sharon Smaldino et al. The digital textbook development consisted of six stages, namely (1) analyzing learners’ characteristics, (2) stating performance objectives, (3) selecting instructional methods, media, and materials, (4) utilizing the materials, (5) engaging learning in instruction, and (6) evaluating and revising. The results of the data analysis have drawn several conclusions. First, the digital textbook has been proven effective in helping satisfy students’ learning needs; 2). the digital textbook is proven an attractive learning resource for learning Indonesian History and, therefore a valuable resource to increase student interest in learning Indonesian History; 3) the digital textbook aids in increasing the effectiveness of instruction on Indonesian History, and 4) The digital textbook can be one of the references to help students better learn Indonesian History
Analisis Perbandingan Kinerja dan Kegunaan Aplikasi Pengelola Kata Sandi Closed-Source berdasarkan ISO/IEC 25010

The number of services used by internet users such as social media, online transportation, entertainment, and banking. this encourages the use of weak, short, and repetitive passwords that can trigger sensitive data leaks and impact individuals or organizations. These problems can be overcome with open-source and closed-source password manager applications to help users create, store, and manage passwords. Closed-source password manager apps have an advantage in the features they provide compared to open-source ones. The many providers of password manager applications make users face many choices so that the specifications of the password manager application need to be known as consideration for determining the application to be used. In this study, a comparative analysis was conducted to assess the advantages and disadvantages of several popular and widely used closed-source password management applications, including Lastpass, 1Password, and Keeper. Comparative analysis was carried out based on the performance, and usability of ISO/IEC 25010. This study used mixed methods. Quantitative data was obtained during performance testing, while qualitative data was obtained when distributing questionnaires to measure usability. The result is that, in terms of performance characteristics, each application has its own advantages in a different sub-characteristic. On usability characteristics, Keeper application excels in four sub characteristics while 1Password excels in two sub characteristics.
Weighted Product sebagai Metode Pendukung Keputusan untuk Menentukan Kualitas Kinerja Guru

SMA Negeri 3 Tanjungbalai is a school located in Tanjungbalai City. Every year, the Principal holds a Teacher Performance Assessment to improve quality education. However, Teacher Performance Assessment is still done manually. The purpose of this research is to build a decision support system for teacher performance assessment to assist the process in determining the quality of performance with the weighted product method. The teacher performance appraisal process is applied in the form of a web application and using the SDLC model, namely planning, analysis, design, implementation, testing and management. Data collection techniques were carried out by means of interviews, observations and literature studies. And system testing is done using blackbox, based on blackbox testing, all functionality can run as expected. The value obtained is in the form of ranking the performance results with the best quality using a decision support system with a computerized weighted product method. The result of this study is to produce a decision support system that can produce information on teacher performance appraisal decisions in determining quality with a weighted product at SMA Negeri 3 Tanjungbalai. The decision support system made is able to provide convenience in the assessment process and can be used as needed.
Evaluasi Pembayaran Keuangan Siswa berdasarkan Penghasilan Wali Siswa menggunakan Metode Clustering K-Means

One of the problems that often occurs in school administration is the late payment of tuition fees. Therefore, it is necessary to evaluate the education payment process so that in the future the payment process can run in an orderly and disciplined manner. This study aims to create a cluster model for grouping student administration payments. This type of research is quantitative using the K-Means Clustering method to classify payment data based on 2 variables, namely the time of payment and the income of students' guardians carried out in private elementary schools in Semarang. The data used in this study is payment data for the 2019/2020 academic year, which totals 1,933 records, covering transactions from 419 students. Determining the number of clusters is calculated using the elbow method, the best clusters obtained from the data used are 3 clusters, namely clusters 0, 1 and 2. Our findings show that cluster 2 has the largest percentage of early monthly administration payments, namely 52.5%, the percentage is on time the highest was in cluster 1, namely 74.8%, and the highest percentage of late payments was in cluster 0, namely 28.6%. The results of the analysis show that the main factor for late payments is not the guardian's income but other external factors, as evidenced by the highest percentage of late payments in cluster 0, where the average income of student guardians is = 10,000,000.
The Concepts of Cognitive Economy Included and Proposed to be Included in the Textbooks of Social Studies for the Basic Stage in Jordan

This study aimed at identifying the degree to which the concepts of cognitive economy are included in the textbooks of social studies for the basic stage in Jordan and identifying the extent of variance in including these concepts in the textbooks according to the academic classroom. In order to achieve the study objectives, the researcher used the analytical descriptive approach represented by analyzing the content of textbooks. The study sample consisted of the textbooks of Social Studies for the basic stage for the third, sixth and tenth basic grades. The results revealed that the total concepts of cognitive economy included in the textbooks of Social Studies for the third, sixth and tenth basic grades were (1419) frequencies. The tenth grade was in the first place, followed by the sixth grade, and finally the third grade in the third place. As for concepts, the concepts of organizational concepts were in the first place, followed by the concepts of teaching, knowledge and labor market, the legal concepts, the concepts of innovation, creativity and entrepreneurship, the concepts of information technology, and finally the concepts of scientific research. The results showed that the concepts of cognitive economy included in the textbooks of Social Studies for the basic stage in Jordan vary according to the academic grade in favor of the tenth grade. In light of the results, the study recommended the necessity of urging the ministry of education to adopt the list of the concepts of cognitive economy mentioned in this study in developing the academic curricula of Social Studies.
A cross-disciplinary analysis of educational subsystems: from indicators to progress

Introduction. The article contains a brief outlook of various types of analysis of the ac-tivities of secondary education establishments, which are essential for their efficient functioning and development. While researching the issue, the author has revealed the problem of the lack of environmental cross-disciplinary analysis as well as the deficiency of its indicators for studying educational regional subsystems along with separate sec-ondary education establishments (SEEs). Objective: the development and testing of in-dicators for environmental cross-disciplinary analysis of functioning of educational sub-systems as well as a separate SEE. Materials and methods: the article showcases the out-comes of the research, during which SEEs in three regions of the Russian Federation were studied: Volgograd Oblast, Krasnoyarsk Krai, and the Republic of Sakha (Yaku-tia). The selection of the regions was based on their demographic and climatic resem-blance. The collected data was juxtaposed and analysed by statistical, demographic and cartographic means. Results and discussion: owing to the cross-disciplinary approach, performance indices of urban and municipal subsystems of secondary education have been identified and tested: presence or absence of non-integrated schools; presence or absence of schools with advanced programmes; presence or absence of public educa-tional establishments; correlation between the number of schoolchildren and schools; presence or absence of schools with low educational outputs. The latter index was in-tently focused on: it was studied not only with the help of quantitative analysis with its conventional presentation, but also by applying infographic. This approach has allowed obtaining visual support for the detected trends. Conclusion: the results of the tests permit suggesting several talking points on further development of municipal subsystems of secondary education: the enhancement of schools with advanced programmes, educa-tional establishments that deal with gifted children, and cadet educational establish-ments by modernising existing small schools; the reduction of public educational estab-lishments and schools with low educational outputs.
Prospective areas of professional development of university teachers: an expert analysis

Introduction. Modern educational environment demands that those working in higher education sphere should hone their professional skills throughout their careers. In the conditions of rapidly developing educational technology, traditional teaching practices oftentimes become obsolete and the role of further development of a teacher’s skills cannot be overestimated. The aim of our research is to identify the areas of professional development that teachers in higher education would like to follow. Methodology and methods: the survey we conducted covered 51 university teachers, the latter describing their intentions in this respect and demonstrating a variety of opinions. By interpreting the data obtained through the quantitative method, followed by the method of expert evaluation, we identified those ways of development in the profession that are most rel-evant for today's teachers of higher education. The results of the research: the majority of the survey participants emphasized particular importance of developing IT skills, while many teachers pointed to the significance of honing the knowledge of the English language. Also, the intention to develop communication and leadership skills was ex-pressed. In addition to this, pedagogical knowledge was mentioned among the possible directions of professional development. A number of teachers emphasized the necessity of having more profound knowledge of psychological and social characteristics of their learners. A small number of teachers felt that there was no need to further develop their professional skills. The data obtained throughout our study can be successfully used when determining the contents of professional development courses for university teachers which can contribute to better efficacy of such courses.
FAIR Aspects of a Health Information Protection and Management System

Abstract Background Privacy management is a key issue when dealing with storage and distribution of health information. However, FAIR (Findability, Accessibility, Interoperability, and Reusability) principles when sharing information are in increasing demand in several organizations, especially for information generated in public-funded research projects. Objectives The two main objectives of the presented work are the definition of a secure and interoperable modular architecture to manage different kinds of medical content (xIPAMS [x, for Any kind of content, Information Protection And Management System] and HIPAMS [Health Information Protection And Management System]), and the application of FAIR principles to that architecture in such a way that privacy and security are compatible with FAIR. Methods We propose the concept of xIPAMS as a modular architecture, following standards for interoperability, which defines mechanisms for privacy, protection, storage, search, and access to health-related information. Results xIPAMS provides FAIR principles and preserves patient's privacy. For each module, we identify how FAIR principles apply. Conclusions We have analyzed how xIPAMS, and in particular HIPAMS (Health content), support the FAIR principles focusing on security and privacy. We have identified the FAIR principles supported by the different xIPAMS modules, concluding that the four principles are supported. Our analysis has also considered a possible implementation based on the concept of DACS (Document Access and Communication System), a system storing medical documents in a private and secure way. In addition, we have analyzed security aspects of the FAIRification process and how they are provided by xIPAMS modules.
The Effectiveness of Sratta Strategy in Learning to Write Short Stories

This study aims to determine the effectiveness of the Stratta strategy in learning to write short stories. This type of research is a quasi-experimental design with a pretest-posttest control group design. The population in this study was 99 students of class X SMA Ali Maksum. Determination of the sample is done by random sampling technique. Based on the determination, it was obtained that class X IPS 1 as the experimental group and class X IPS 2 as the control group. Data collection is done through tests. The validity of the instrument is the validity of the content that has been consulted with experts. The data analysis technique used is the t test based on normality and homogeneity tests. The results of the study show that the Stratta strategy is more effective than the conventional strategy in learning to write short stories. This is evidenced by the results of the t test with a t value of 2.277 and a significant p (p &lt;0.05). Based on these results, the Stratta strategy is effective in learning to write short stories. Keywords: Effectiveness, strategy, Stratta, writing, short stories.
logical Innovativeness on Organisational Effectiveness of Deposit Money Bank in Akure Metropolis

The study determines impact of technological innovativeness on organisational effectiveness with reference to Akure Metropolis.A descriptive survey research design was adopted for the study. The population of the study comprisedthe unit managers of the entire deposit money bank in Akure metropolis. The study employed sample size of 48through censussampling. Primary data used for the study were gathered through the administration of well structured questionnaire. Data gathered were analyzed using Pearson product moment correlation andregression analysis. The study found that Automated Teller Machine,Mobile Banking and Internet Banking positively and significantly affect organisational effectiveness. Thus, it concluded that organisational effectiveness is positively impacted by technological innovativeness.
The VNNLI - VLSP 2021: Leveraging Contextual Word Embedding for NLI Task on Bilingual Dataset

Natural Language Inference (NLI) is one of the critical tasks in natural language understanding which we take through the VLSP2021-NLI Shared Task competition. VLSP2021-NLI Shared Task is a competition to improve existing methods for NLI tasks, thereby enhancing the efficiency of applications. One of the challenges of the competition is the dataset in both Vietnamese and English. In this article, we report on evaluating the NLI task of the competition. We first implement the 5-fold cross-validation evaluation method. We following leverage model architectures pre-trained on cross-lingual language datasets such as XLM-RoBERTa and RemBERT to create contextual word embeddings for classification. Our final result reaches 90.00% on the test dataset of the organizers.