Reviewerly/exHarmony huggingface dataset:
Predicting Climate Change Related Extreme Natural Disasters Using Machine Learning in Zambia

One of the most important concerns affecting humanity today is climate change that has led to increased frequency of natural disasters that threaten social and economic stability to populations. Zambia’s vulnerability to the threat of disasters remains high because the country still lacks an effective Early Warning System (EWS). This study recognises the need to evaluate various Machine Learning (ML) algorithms, that have been successfully implemented in disaster prediction, in order to develop a model for Zambia. Six ML algorithms, namely; Logistic Regression (LR), Random Forest (RF), K-Nearest Neighbor (KNN), Gaussian Naive Bayes (GNB), Decision Tree (DT), and Support Vector Machine (SVM), have been compared from which the best performing is chosen. The historical climate data is obtained from the Zambia Meteorological Department (ZMD) while historical natural disasters data was obtained online because it is not locally available. The study results show that LR and SVM algorithms performed better than the others, both scoring 73.0% accuracy, respectively. LR is chosen to produce the final model because it has a shorter computational time compared to SVM. The model is then incorporated in a web service and android application for deployment. However, the high number of outliers, missing values and highly imbalanced classes affect the performance of the model. ML data cleaning and feature engineering techniques, such as Data Imputation and Oversampling Techniques, are applied but certain challenges still persist because these tools have their own flaws. Therefore, the model’s performance in a real-world data environment is likely to be affected.
Information Content Detection in Face Parts Using Deep Learning

The present paper introduces use of deep neural network for classification of three different categories of emotions - angry, happy and neutral. The database consisted of 48x48 pixel grayscale images of faces from the Face expression recognition dataset from Kaggle. Separate parts of faces such as eyes, nose, or mouths were occluded by a manually inserted 48x15 pixel black rectangle to see what part of the face carries the most significant information about the expressed emotions. By applying pretrained Inception network provided as a part of Keras/Tensorflow environment, we found that, to our surprise, faces with eyes covered were more easily identified. Results were replicated using augmented data.
Deep Interest Network Based on Knowledge Graph Embedding

Recommendation systems based on knowledge graphs often obtain user preferences through the user’s click matrix. However, the click matrix represents static data and cannot represent the dynamic preferences of users over time. Therefore, we propose DINK, a knowledge graph-based deep interest exploration network, to extract users’ dynamic interests. DINK can be divided into a knowledge graph embedding layer, an interest exploration layer, and a recommendation layer. The embedding layer expands the receptive field of the user’s click sequence through the knowledge graph, the interest exploration layer combines the GRU and the attention mechanism to explore the user’s dynamic interest, and the recommendation layer completes the prediction task. We demonstrate the effectiveness of DINK by conducting extensive experiments on three public datasets.
Influence of Organizational Culture on Employee Performance Mediated by Job Satisfaction and Employee Commitment

Purpose – The study aimed to analyze the influence of organizational culture on employee performance mediated by job satisfaction and employee commitment. Methodology – A quantitative approach was used on 167 employees with a minimum of one year of experience working in a coating company. The sample size was the population of the industry. Furthermore, the data analysis was carried out using the Partial Least Square Structural Equation Modelling (PLS-SEM). Findings – This study found that organizational culture influences and improves employee performance. It also affects organizational commitment and job satisfaction, which mediate the culture to improve employee performance. Moreover, employee performance could be improved by increasing job satisfaction and commitment. Satisfaction also increases and affects employee commitment. Originality – This is the first study to investigate the influence of organizational culture on employee performance. It analyzed the relationship of job satisfaction, employee commitment, and performance and used a mediation variable to expand the theory in previous studies. This study also complements the relationship of variables in the organization for different service industries.
Implementation of A Web-Based Bogor Peak Tourism Information System

Puncak Bogor is a mountainous tourist attraction in the Bogor area and Cianjur regency which is visited by many tourists and makes the peak of Bogor as one of the right choices to relieve fatigue from daily activities. Because it is too crowded and crowded with visitors who come, therefore many entrepreneurs to open tourist attractions, and cause congestion in the direction of Puncak. The purpose of designing this web-based Puncak Bogor Tourism information system is to make it easier for tourists to vacation in Puncak Bogor, this design uses the method of data collection and analysis process obtained from the tourism office, transportation agency, and BMKG. As a result of designing this system, 90% of web users find it easiest to travel to the top of Bogor. Because the vacillation of tourists to go on vacation is resolved by the existence of the web. It can be concluded, the existence of this web can help people who experience fatigue from the work that has been carried out and want to take a vacation with their families. To find out the route to be passed is safe and smooth, then of course you will look for information about travel routes that can facilitate the journey to the destination.
Test-Items Analysis of English Teacher-Made Test

The primary purpose of this study is to find out information about the quality of item analysis on English teacher-made tests related to the difficulty level, item discrimination level, validity, and reliability of the final semester assessment for the twelfth-grade student of SMAN 8 Pontianak in the academic year 2020/2021. The researcher conducted this study using descriptive quantitative analysis with the data obtained from the English teacher-made test, consisting of 40 items with 257 test-takers of twelfth-grade students. The researcher analyzed the test items by using the combinations of Master TAP and SPSS Version 16 applications. Based on the difficulty level, the analysis results show that 22 items were categorized as easy, 14 items as medium, and four items as difficult level. Moreover, the item level of item discrimination shows that 9 items are categorized as poor, 18 items as enough, and 13 items as good index level. The analysis results also show that 23 items as valid questions, while the other 17 are invalid. On the other hand, the questions' reliability level showed satisfactory results, with the K-R20 result of 0.835. The results of the analysis showed that there were some questions that had already of good quality, but some problematic items were also found after being analyzed. Therefore, it is necessary for the teacher to conduct an evaluation of the problematic items so that the assessment process will be better in the future.&#x0D; The primary purpose of this study is to find out information about the quality of item analysis on English teacher-made tests related to the difficulty level, item discrimination level, validity, and reliability of the final semester assessment for the twelfth-grade student of SMAN 8 Pontianak in the academic year 2020/2021. The researcher conducted this study using descriptive quantitative analysis with the data obtained from the English teacher-made test, consisting of 40 items with 257 test-takers of twelfth-grade students. The researcher analyzed the test items by using the combinations of Master TAP and SPSS Version 16 applications. Based on the difficulty level, the analysis results show that 22 items were categorized as easy, 14 items as medium, and four items as difficult level. Moreover, the item level of item discrimination shows that 9 items are categorized as poor, 18 items as enough, and 13 items as good index level. The analysis results also show that 23 items as valid questions, while the other 17 are invalid. On the other hand, the questions' reliability level showed satisfactory results, with the K-R20 result of 0.835. The results of the analysis showed that there were some questions that had already of good quality, but some problematic items were also found after being analyzed. Therefore, it is necessary for the teacher to conduct an evaluation of the problematic items so that the assessment process will be better in the future.
Blockchain Technology and its Implication for the Financial Sector in Zambia

Blockchain is the technology that underlies Crypto Currencies and it is poised to revolutionise current existing business processes and models. Its impact is being felt in many spheres of the financial industry in many jurisdictions around the world. Transactions on the blockchain are validated by a network of participating nodes using proof of work or proof of stake algorithms. Security of the data is guaranteed by the application of cryptographic hash functions. The technology has the characteristic of delivering very secure, transparent and innovative financial products. This study presents a systematic literature review of blockchain technologies and their potential application in the financial sector with the view of identifying open challenges and opportunities that it can address in the Zambian Financial Sector Context. The focus of the study was limited to the finance, banking, insurance, tax, mortgages and fintech sectors. The findings of the research showed that the Zambian financial sector can benefit from applying blockchain in its operations. Key benefits to be derived include tamper-proof customer identity validation, guaranteed security and trust, reduction of operational costs, elimination of third parties in transaction processes, reduced financial risks and reliable data sharing and verification.
The Utilization of Jamboard to Improve Students` Writing Skills in Personal Letter

This study used pre-experimental research, conducting one group pre-test and post-test to examine the effectiveness of using Jamboard application media to improve students' writing skills. Furthermore, this study focused on common writing challenges that students face, such as using acceptable grammar, vocabulary, and mechanics when writing personal letters. Twenty-eight senior high school students majoring in Teknik Kendaraan Ringan were carefully chosen from SMK Abdurrahman Wahid Banjarmadu (TKR). The data revealed an improvement in the students' writing ability in personal letters utilizing jamboard by Wilcoxon signed rank test. According to the data, the positive learning outcomes for pre-test and post-test with a mean rank or average rise 14,50. While the number of sum of ranks is 406,00. Based on statistic value of Wilcoxon test the significance (2-tailed) &lt; 0,05. It signifies that the alternative hypothesis (H1) was accepted because there was a substantial difference in the students' writing skills before and after treatment with Jamboard, whereas the null hypothesis (Ho) was denied. After examining the data, the researcher concluded that jamboard could be an alternate media for improving students' personal letter writing abilities. There are a total of 406,00 rankings. The Wilcoxon test has a significance threshold of 0.05 based on the statistic value (2-tailed). It signifies that the alternative hypothesis (H1) was accepted since there was a substantial difference in the students' writing ability before and after treatment with Jamboard, whereas the null hypothesis (Ho) was denied. Following an examination of the data, the researcher concluded that jamboard could be a viable alternative medium for boosting students' personal letter writing talents.
Effect of Inflation on Economic Growth in Tanzania for the Period from 1970 to 2020

The research examines the effect of inflation on economic growth in Tanzania. The study employs the secondary time series data from 1970 to 2020 taken from the Bank of Tanzania, and the VECM is used to find the cointegration between variables to show the short-run and long run dynamics. Graphical analysis and Augmented Dickey-Fuller tests were conducted to find the unit root in the model. All variables were stationary and integrated in the same order I(1). The results show that the error correction was significantly negative. That is, the annual rate of adjustment required to achieve long-run equilibrium was 28.31 percent. Based on the findings in the short-run, the extended money supply and interest rates had negative and insignificant effects on GDP, while the exchange rate had an inversely significant effect on GDP. Inflation targeting had a favourable insignificant effect on GDP. Long-run results show that extended money supply, exchange rates, and interest rates had positive significant effects on economic growth, whereas inflation targeting had negative significant effects on GDP. It is recommended that the government, policymakers, and financial institutions focus on managing inflation by the prudent implementation of fiscal and monetary policies, and maintaining a regulation of interest rates, the extended money supply, and real exchange rates also inflation targeting should be emphasized by improving the central bank's communication, transparency, and accountability to avoid inflation volatility and stimulate economic growth.
Structural and content model of cognitive pedagogy

The author draws attention to the theoretical and practical aspects of the implementation of the model of cognitive pedagogy, reflecting its resource potential. The purpose of the study is to develop and implement a structural and content model of cognitive pedagogy, to evaluate its effectiveness. The article presents the results of constructing a cognitive model in the implementation of the disciplines of the humanitarian cycle for the training of future teachers, indicating the importance of the role of graph theory in the analysis of problems in pedagogical situations at the initial stages of modeling, which indicates the effectiveness of the developed structural and content model. Methods used in the study: literature review, experiment, comparative analysis. The paradigms of cognitive pedagogy are based on the results of individual examples of the convergence of the humanities, which have a certain bearing on pedagogy. In practice, the relevant knowledge serves as a theoretical basis, which models of cognitive pedagogy can be based on during the implementation of the disciplines of the humanitarian cycle for the training of future teachers. At the same time, it is advisable to pay the greatest attention to the stage of identifying the factors affecting the pedagogical situation and the construction of cognitive maps.
Development of modular training programs in the field of culture

The paper aims to prove the possibility of a united module educational program for the fields within the group 51.00.00 «Culturology and socio-cultural projecting» based on universal and profession-specific competencies. The authors utilized the latter to analyze scientific sources and identify the main tendencies of development and practical implementation of education programs in the fields «Library management and information operations» and «Museology and cultural heritage sites preservation». The authors suggest a module education program compiled with a focus on module structure and competencies. The suggested education program model contains all the necessary information from formed competencies to elements within disciplines and allows both compile the education program and to determine variables within competencies and an overall competency profile of a graduate. The conducted research indicates that requirements for professional education change with every stage of social development. Major professional programs structured in modules and based on competencies provide an opportunity to assess the major aspects of educational innovations within a single educational facility, thus facilitating a smooth transition to their common implementation. The discussed approach will allow further implementation of individual educational trajectories within the framework of academic mobility. This, in turn, will facilitate the structural development of educational institutions and a consequent rise in their competition capacity.
Summer museological camp as a form of preparation for solving the tasks of professional activity

Educational and educational work with the student audience is implemented within the framework of the educational process, but also involves the use of extracurricular forms. For students studying in the specialty «Museology and protection of cultural and natural heritage objects», museum-pedagogical forms of inclusion in the professional field of activity are especially important. An innovative form in the implementation of the program-activity approach in museum pedagogy is the form of a summer museological camp. The testing of this form took place in the summer of 2022. based on the Totem Museum Association and has shown high efficiency in the formation of universal, general professional and professional competencies of students provided for by the Federal State Educational Standard of this field of training. The inclusion of students in solving the tasks of professional activity allowed them to acquire skills in technological, organizational and managerial, project, cultural and educational spheres. The result of the work of the student groups was the formation of projects of museum grant applications for competitions of the Presidential Fund for Cultural Initiatives and the Presidential Grants Fund. The format of the summer camp contributed to the establishment of interuniversity student communication, as well as solving the problems of health improvement and recreation.
A Study on the Development Trend of Convergence Technology for Piano Teaching -Focusing on Patent Analysis-

Through patent analysis, the development trend of piano teaching convergence technology for the past 20 years was reviewed and the direction of future technology development was predicted.Since 2016 and 2017, an increasing trend of patent applications for acoustic piano teaching technology using smart devices has been confirmed, and a decrease in electronic piano teaching technology has been confirmed.Until 2015, there were piano teaching technologies using various types of additional devices, but since 2016, piano teaching technologies using smart devices have increased, reaching about 60% of the total technologies in 2020.Since 2016, an increasing trend of piano teaching technology patents for the purpose of automatic
Director of the Imperial Public Library D. P. Buturlin

Director of the Imperial Public Library D. P. Buturlin left behind contradictory, but mostly negative memories of his contemporaries, based on his activities as chair of the censorship Committee on April 2, 1848, which went down in history as the “Buturlin Committee”. In the shadow of his position as the chief censor of the country, his fruitful activity as director of the first national library in Russia remained. The article presents new archival materials, important testimonies of the Library staff who served under him, and an attempt is made to objectively reproduce all the good undertakings of this director and point out the miscalculations he made.
Analysis of Factors Affecting Creative Self-Efficacy of Computational Design Majors

The purpose of this study is to investigate in various ways what factors affect the creative self-efficacy of college students who have received computational design-based education.Through previous studies, it was found that creative self-efficacy can change depending on individual characteristics factors.Based on this, this study conducted a survey to explore
Exploring the decomposition of epics using natural language processing

Agile user requirements are typically givens as user stories written using natural language and they come in different forms. The most complex form of stories to work with are epics. If epics are poorly understood, they can contribute to threats regarding the sprints or projects becoming behind schedule. It can be attributed to the epic's complexity. The research aimed to explore and attempt the use of Stanza from the Stanford NLP group in the decomposition of epics by creating a text generative model. We have also utilised the chunking technique to formulate the tasks from the generated user stories by identifying the linguistic structure through the aid of a POS tagger. The obtained results illustrate that the stanza can be utilised in the requirements engineering domain such as Sprint backlog grooming. The benefits of this research work are enormous considering that sprint backlog grooming takes considerable time and is always in iterative mode. Agile teams will also benefit from this work by efficiently using sprint timeboxes with minimal sprint planning effort. This will enable agile teams to spend more time delivering the right solutions with reduced sprint planning time and effort.
Scientific management school problem’s evolution (based on highly ranked Russian scientific journals)

The aim of the study is to identify and substantiate the features of Russian management science development at the present stage. This aspect is significant both for Russian science, and for management practice. For the first one, it is important to systematise and formulate directions for the application of the most effective research methods of various problem management’s areas. For practice, this is due to the possibility of adapting conceptual recommendations in the activities of a particular economic entity. The analysis was based on highly ranked publications. The information base consisted of 38 articles from five peer-reviewed scientific journals included in the Russian Science Citation Index (RSCI) database, and international citation databases. The review of methodology and methods used in domestic research on management issues has been carried out. The methodological basis of the study was the evolutionary approach: the stages of the evolution of the methodology and the problems of research have been shown. Possible promising directions of Russian management science in the future were outlined. The features of the methodology and methods for research the Russian management science have been substantiated, by of these a three basic problem areas have been identified. The results obtained can be used by domestic scientists in determining the management-oriented research methodology.