Reviewerly/exHarmony huggingface dataset:
Management Information Systems In Private Universities and Its Impact On Productivity

Because of its efficiency and efficacy, the use of information technology in school management has grown rapidly. The primary goal of management information systems (MIS) in their early phases was to improve the efficiency of school and office activities. Overall, a review of the literature revealed that MIS has a positive impact on school administration and management, including improved information accessibility, more efficient administration, higher utilization of school resources, reduced workload, better time management, and improved report quality. Despite all of the advancements in educational management, most educational institutions face various obstacles, particularly in the field of information and communications technology. Among other things, a study into Management Information Systems and their impact on productivity in higher education institutions was conducted to examine the relevance of MIS in improving educational management, assess ways MIS could improve capacities in data processing, storage, analysis, and the timely supply of educational information to management and administrators to enhance quick and efficient decision making. The major sample strategies used were stratified and purposive sampling. To collect pertinent data, a questionnaire and an observational program were utilized. The data was analyzed using the Statistical Package for Social Sciences (SPSS version 25). According to the study, the key barriers militating against the introduction of MIS in understudy institutions were cost, a lack of competent Information Technology people to administer the system, a shortage of computer systems and peripherals, and an inferiority mentality (technology phobia). Recommendations, as well as proposals for additional research, were thus made to address the issues discovered.
Impact of Service Quality and Service Performance on Customer Satisfaction towards Abu Dhabi Police Department: Moderating Role of Government Performance

The police department in any country is necessary to improve the crime control system. The satisfaction of the public with government sector performance and improvement is necessary. This research aimed to check the relationship between service quality and performance and customer satisfaction. The research also investigates the moderating role of government performance in the relationship between service quality and service performance and customer satisfaction. The sample size for this research is 384, and data is collected from the general public with a random sampling technique. The findings displayed that the moderating role of government performance between service performance, service quality, and customer satisfaction is significant. This study has a unique model that is developed to contribute to the body of knowledge and literature. Moreover, this research has remarkable practical and theoretical implications for enhancing the body of knowledge and practice.
THE EFFECTIVENESS OF "SPEAK UP NOW" TRAINING WITH VICARIOUS EXPERIENCE TO IMPROVE PUBLIC SPEAKING SELF-EFFICACY

Public speaking self-efficacy is one of the components in public speaking skills that need to be possessed by students in high school. Various other methods have been developed, but only a few have been developed specifically to improve public speaking self-efficacy. This study aims to determine the effect of the training method that utilizes the Vicarious Experience on the Public Speaking Self-efficacy of SMP X students. This study is a Quasi Experiment with One Group Pre Test – Post Test research design. This research was conducted on 30 students of SMP X consisting of 16 male students and 13 female students. The result of this study found that there was a positive effect on the online public speaking training method "Speak Up Now" by using the Vicarious Experience method in improving Public Speaking Self-efficacy in junior high school students. The “Speak Up Now” training can be further extended to other similar communities.
PARENTS' PERCEPTIONS OF EARLY CHILDHOOD MOTIVATION IN MASTERING MANDARIN: PRELIMINARY STUDY FOR PROGRAM DEVELOPMENT

Product development and science in several countries in the world are currently using Mandarin. Mastery of Mandarin will strengthen Indonesia's economy and development of science and technology. School X in Tangerang is one of the trilingual schools (Indonesian, Mandarin, and English) in Indonesia that applies more than 70% of Mandarin learning at the KB and Kindergarten levels so that students can communicate in two directions (expressive and receptive) orally. The researcher found that most of the students whose parents did not master Mandarin were able to learn Chinese quickly, but some had difficulties and were less motivated. A learning program is needed that can motivate students in mastering Mandarin. This research is an initial study on the development of a program that motivates young children to learn Mandarin, to get a picture of parents' perceptions of motivation to learn Mandarin. The research method is descriptive and quantitative. The participants were 124 parents of Early Childhood Education in School X. The researcher gave an Intrinsic Motivation Instrument questionnaire to parents regarding their perceptions of their children's motivation in learning Mandarin. Interviews were also conducted with students' parents and teachers. The results showed that 18 parents perceived that their child's motivation was extraordinarily high, 34 parents perceived that their child's motivation was very high, 37 parents perceived that their child's motivation was moderate, 23 parents perceived that their child's motivation was very low, and 12 parents have the perception that their child's motivation is unusually low. Based on the results of this study, it is necessary to have a program specifically designed to motivate young children to learn Mandarin.
THE INFLUENCE OF PHONICS AND GAMES INTEGRATIVE LEARNING ON KINDERGARTEN CHILDREN'S READING READINESS

Learning to read may begin at a young age, but it needs to be safe, fun, and enjoyable. Before children enter the reading stage, it is important to pay attention and prepare children to have reading readiness. Learning strategies that can be used in helping early reading readiness in kindergarten include using phonics and games. Children who are already in the reading readiness stage will show behaviors such as being able to recognize the alphabet, voice the sounds of the alphabet, imitate letter shapes, have a decent vocabulary, and understand words and stories. This study aims to see the effect of phonics and game integrative learning on the reading readiness of kindergarten children. The participants in this study were 36 students in Kindergarten X. The participants were divided into two groups, the Experimental Group (KE) and the Control Group (KK). The test tool given to the participants is the Reading Readiness Assessment test kit which has been adapted and tested in Indonesia. Data analysis used the Independent Sample T-Test test with a sig value. (2-tailed) of 0.000 &lt; 0.05, this indicates a significant difference between the experimental group and the control group. So it can be concluded that phonics and game integrative learning has been shown to improve the reading readiness of kindergarten children.
PENERAPAN DATA MINING UNTUK PENGELOMPOKKAN HASIL DIAGNOSA PENYAKIT PESERTA JKN-KIS BPJS KESEHATAN KANTOR CABANG PRABUMULIH

BPJS Kesehatan has collaborated with several health facilities in Indonesia to provide health services. So far, the use of grouping the results of disease diagnosis of JKN-KIS participants used by BPJS Health Partners and also the Health Office only uses a general description of the patient data. Optimal utilization of disease diagnosis data from JKN-KIS patients has not been done. Therefore, Clustering is also a method of grouping several data objects into a certain group of information with a high degree of similarity. Testing the best value with the Elbow method produces a K value that is close to The Shape of a 90 degree angle that is in the 4th cluster. So therefore, the medical record data grouping system produces the best cluster by using 8 clusters.
Child Detection by Utilizing Touchscreen Behavioral Biometrics on Mobile

Studies show that young children are exposed to smart devices. Early stages of education, children’s internet safety, and children’s interactions with computers are all significantly impacted by mobile usage. With the significant increase in average daily smartphone use, preschoolers’, school-going children’s, and teenagers’ health is ruptured both mentally and physically. This research presents an extensive point of reference for investigating the operation of artificial neural networks and several machine learning algorithms in postulating the classification problem regarding the age of a smartphone user based on their touch. Hence, our work will become a reliable component to forecast the age range and effectively help parents control the time spent on smartphones by their children. Out of a variety of models that were examined, we propose the top five for simulating the behavioral differences between children and adults when using mobile devices. The first approach is based on using artificial neural networks for classification. Next, we used gradient boosting algorithms like XgBoost classifier and LightGBM classifier. Finally, we also analyzed support vector machines and K-nearest neighbors model.
Post-COVID-19 African Development Challenges in African Think Tanks Studies

Globalization, technological revolution and modern socio-economic and political problems require sound analysis and effective recommendations, which lead to an increasing role of think tanks (TT) in identifying new challenges and threats and recommending ways to adress them, as well as expanding communication with the media, society and governments. TTs in Sub-Saharan Africa (SSA) are developing rapidly: there are 671 analytical centers in 2020. The countries with the highest number of TT are South Africa (102), Kenya (64), Nigeria (52) and Ghana (44). There are many publications in African TT, that address the problem of COVID-19 in Africa, which allows to provide a comparative analysis on issues such as: identifying problems in the response of certain regions of the world to these challenges, preparing recommendations for SSA on a comprehensive post-pandemic recovery, problems in African integration, youth policies, strategic priorities for Africa and China, etc. ACET (Ghana) identifies 10 priority areas for recovery, economic growth and transformation in Africa, AECR (Kenya) considers the development problems of some countries and highlights the difficult moments in the development of integration processes in the region. SAIIA (South Africa) identifies strategic priorities in Africa-China relations in various sectors, identifies problems in the fight against the pandemic in different regions of the world, and identifies key directions for post-COVID recovery of African countries. The recommendations of African TT are very important for their governments, the AU, business and political elites.
STUDY OF THE IMPACT OF FLOOD AND ITS MANAGEMENT ON PUBLIC INFRASTRUCTURE AND FACILITIES IN KOTO PARIK GADANG

Floods are a complex problem that often occurs in parts of Indonesia, especially in densely populated areas such as cities and villages. Batang Lolo District, South Solok Regency is one of the areas that is frequently flooded. Floods can cause significant losses, both in terms of material and human life, and can affect agricultural production in the area. Therefore, flood management is a serious concern. This study aims to calculate rainfall and flood discharge data for the next 25 years, as well as determine the impact caused by flooding based on information from the local community in Koto Parik Gadang Diateh District, Solok Selatan District. Based on the results of the calculation of rainfall and flood discharge, it was found that the maximum rainfall with a return period of 25 years in Batang Lolo, Koto Parik Gadang Diateh District, South Solok Regency, using the Normal Distribution, Gumbel, and Log-Pearson Type III methods are respectively 126.55 mm/hour, 6.902 mm/hour and 156.990 mm/hour. Meanwhile, the calculation of the flood discharge with a 25-year return period in Batang Lolo, Koto Parik Gadang Diateh District, Solok Selatan Regency, using the Melchoir and Hasper methods, yielded data of 1616.45 seconds/second and 445.85 seconds/second. This is expected to help in efforts to deal with flooding in the area.
The Role of University Image and Student Satisfaction in Retaining Student for Technical University during Covid-19 Pandemic Era

Covid-19 pandemic effects the way organization&amp;rsquo;s worldwide runs their operation. Many sectors are affected with this pandemic inclusive of higher education. The conventional teaching and learning which is face to face need to change to online platform. This bring challenges to higher education especially in technical university which required more practical session. This study aimed to investigate the intention of student to retain in the current university. Two antecedence variables which is university image and student satisfaction was selected to measure it effect toward student retention. The scope of study is technical university in Malaysia. Purposive sampling was used among diploma student for data collection. 200 of good data has been analyzed using Partial Least Square (PLS)_Structural Equation Modelling (SEM). The measurement model indicates that all items in reflective constructs are reliable and validated. Descriptive analysis indicated that even though student satisfaction and university image is high, student retention is moderate only. The structural model analysis revealed that there is direct and significant effect between university image, student satisfaction and student retention. This findings met all objectives and therefore all hypothesis are supported. This finding is beneficial for technical university to develop a proper strategies in order to retain and therefore increase number of student. Further study is suggested to broaden the scope to other universities for better result generalization.
Edna: Disguising and Revealing User Data in Web Applications

Edna is a system that helps web applications allow users to remove their data without permanently losing their accounts, anonymize their old data, and selectively dissociate personal data from public profiles. Edna helps developers support these features while maintaining application functionality and referential integrity via disguising and revealing transformations. Disguising selectively renders user data inaccessible via encryption, and revealing enables the user to restore their data to the application. Edna's techniques allow transformations to compose in any order, e.g., deleting a previously anonymized user's account, or restoring an account back to an anonymized state.
Implementation of the Bootstrap Framework in Creating an Informative Website and Registration at the Veterinary Clinic

This Veterinary Clinic is located in Magelang City and has been established since 2017. Pancea Veterinary Clinic has never used computerized health information media such as a website until now. So far, they only use conventional media to provide information about clinical services. Registration is then also manual in the sense that the patient (animal) must be brought directly to the clinic for registration. The manual registration process for one patient (animal) takes approximately 10 minutes. In this article, researchers analyze the ins and outs of existing problems and try to provide solutions for the system being developed to achieve maximum results. The Bootstrap framework is used to create a user-friendly website in terms of appearance and the SDLC information system development method is adopted. Perform process model design using DFD model, database design, interface design, and relationships between tables. After implementing a health information system, clinics can reduce costs and attract more patients to the clinic because they already know the advantages that exist in the clinic. Patients can then register with the online registration system without having to come to the clinic and queue.
Literasi Digital Dalam Upaya Membangun Ketahanan Nasional

Currently, technology has a significant impact on human life. The emergence of internet connectivity has made it easier for people to access various information and almost entirely relies on the internet as a medium to facilitate work. Over time, the internet and technology continue to evolve, allowing us to access more information, whether it is fake or accurate information. In this digital era, many individuals misuse the internet and digital media to spread fake news, provocative content, and content that disrespects Pancasila. This can lead to division and damage the integrity of the nation. Therefore, it is essential for us to have awareness and be digitally literate to use technology wisely.
Benefits of Community Voice: A Framework for Understanding Inclusion of Community Voice in HCI4D

Community voice is widely used in computer-supported cooperative work (CSCW) and human-computer interaction (HCI) work with underserved communities. However, the term is unresolved, denoting disparate activities, methods, and phenomena that are at their most useful when combined. We argue for a rethink by setting out a more nuanced understanding of "community" and "voice". Building on our own experiences of HCI for development (HCI4D) work and the existing literature, we propose a framework for the benefits it can bring to those who actively engage with communities as part of their work. This framework can be understood in terms of its four constituent benefits for CSCW and HCI4D practitioners: (i) understanding context, (ii) creating empathy, (iii) leveraging local skills and knowledge, and (iv) building trust and buy-in. We reflect on how an improved understanding of these benefits applies to three prior projects with women living in Bangladesh and discuss the issues and need for more work on community voice. Finally, we discuss how this more detailed perspective on community voice helps us understand power dynamics and polyvocal communities in development contexts.
Fuzzy scl–semi 2–ABSO submd and related concepts

The F-semi-2-ABSO and the F-scl are compared in this study to see how they interact. In order to respond to this inquiry, we present a new notion called as fuzzy socle semi-2-ABSO submd. The findings revealed a number of characteristics that lent credence to the new concept. The connection between F-semi-2-ABSO and F-scl-2-ABSO is also discovered using straightforward algebraic techniques. In addition, we investigated the F-scl-semi-2-ABSO submd structure for F-direct sum and homomorphic picture. It also covered how F-scl-semi-2-ABSO submd relates to other F-submd types. The findings from this research are important for the definition of new F-scl semi-2-ABSO concepts.
Retracted: Application of Data Mining in the Analysis of Martial Arts Athlete Competition Skills and Tactics

[This retracts the article DOI: 10.1155/2021/5574152.].
Rapid runtime learning by curating small datasets of high-quality items obtained from memory

We propose the “runtime learning” hypothesis which states that people quickly learn to perform unfamiliar tasks as the tasks arise by using task-relevant instances of concepts stored in memory during mental training. To make learning rapid, the hypothesis claims that only a few class instances are used, but these instances are especially valuable for training. The paper motivates the hypothesis by describing related ideas from the cognitive science and machine learning literatures. Using computer simulation, we show that deep neural networks (DNNs) can learn effectively from small, curated training sets, and that valuable training items tend to lie toward the centers of data item clusters in an abstract feature space. In a series of three behavioral experiments, we show that people can also learn effectively from small, curated training sets. Critically, we find that participant reaction times and fitted drift rates are best accounted for by the confidences of DNNs trained on small datasets of highly valuable items. We conclude that the runtime learning hypothesis is a novel conjecture about the relationship between learning and memory with the potential for explaining a wide variety of cognitive phenomena.
development and introduction into the educational system of the Republic of sakha (yakutia) a unified digital pedagogical platform “e-teacher”

The article proposes a project for the development and implementation of a unified digital pedagogical platform «E-teacher» into the education system of the Republic of Sakha (Yakutia). The project was developed to solve the problem of replenishing the shortage of teaching staff in the Republic of Sakha (Yakutia). The problem of shortage of teaching staff in the Republic of Sakha (Yakutia) is considered. One of the solutions to the problem is the introduction of a specialized unified digital platform for teachers. All teaching staff of the republic and students of pedagogical specialties will be included in the work of this system. With the successful implementation of the project of a unified digital pedagogical platform «E-teacher», it is possible to solve the problem of replenishing the personnel shortage in the education sector of the Republic of Sakha (Yakutia).
Values of Education in the Perceptions of IT Graduates (Results of a Pilot Study)

The study of educational values in the self-assessments of IT graduates is part of the initiative project aimed at studying the peculiarities of the socio-professional group of Russian IT specialists. The relevance of the topic is determined by the importance of positive perception and evaluation of the role of education by IT students as a condition for their successful study, and subsequently – professional adaptation and socialization of IT gradu-ates. Positive assessment of the role of education contributes to the formation of high self-motivation of stu-dents' learning both within the university and their successful inclusion in the IT sphere after graduation. Five groups of educational values, which are perceived by students as the most important, are identified and char-acterized: the development of cognitive skills; social and personal changes; expectations of changes in status-role positions; the formation of new values and the transformation of the old ones. The results of the pilot study are of great importance for the further development of the problem, as well as expedient for organizing educa-tional work, diagnosing the values of students of IT specialties.
Blockchain-Enabled Machine Learning Framework for Demand Forecasting in Supply Chain Management

Supply chain efficiency relies heavily on being able to accurately predict future demand. In this chapter, the authors offer a machine learning framework for supply chain management demand forecasting that makes use of blockchain technology. The framework improves the precision of demand forecasts while maintaining data integrity and openness through the use of machine learning algorithms and blockchain technologies. Demand data is collected and preprocessed, machine learning models are applied, and blockchain is used to validate and secure the data. Results from experiments show that the framework is useful, with significant gains in accuracy and recall compared to more conventional methods. The results show the promise of merging machine learning with blockchain in demand forecasting, giving supply chain professionals a potent instrument with which to enhance the effectiveness of inventory management and overall operations. To fully reap the benefits of this approach, more study into scalability and implementation difficulties is necessary.