Reviewerly/exHarmony huggingface dataset:
RESEARCH ON DATABASE TYPES AND METHODS TO STANDARDIZE DATABASE TYPES IN THE FIELD OF TRANSPORT INFRASTRUCTURE

In truthfully, managing and storing information and data at the Department of Transport and its units in Da Nang city is still done manually and sporadically. Currently, the majority of them still utilize paper or digitized records but still save them separately on personal computers for managing and storing information regarding infrastructure, modes of transportation, etc. (.doc, .xls, .pdf files, Autocad, Video, Audio, Images, ...). Storing, maintaining, looking up, and discovering information is greatly hampered by this. There are still inconsistencies and delays in the deployment of information reporting, management information, digitization, and the availability of exploitation channels. In line with the Ministry of Transport's strategy, information technology should be used to manage transportation activities. Organizations and units in the transportation industry across the nation have developed and implemented various specialized software to assist in managing road transport. Software solutions have offered management information, enhancing professional management effectiveness. The deploying units use each software system separately, storing and handling specialized data in various ways. When it is necessary to handle and review the information of road transport vehicles, including registration information, vehicle registration, and information about traffic safety infractions, the program does not have a connection or data sharing capabilities. To access and compare data, expert employees must look for information and data on each software system to retrieve and compare data. The specificity of the data of each transport infrastructure project is that the data is very large and has many different formats; the information is updated regularly every year according to the maintenance, renovation, and upgrading process, etc. Traditional storage and data representation, like how database management systems and management software are used, will not meet the demand. In this paper, we propose a solution to build a centralized specialized database, have a specific organizational plan according to the specific characteristics of the industry, and be able to integrate data from specialized applications to connect and unify data between authorities. This will be a platform for sharing and exploiting data for professional management between authorities in the city and the whole country. The people and state management agencies highly appreciate this solution, which has been researched and implemented experimentally in Danang City.
RESOURCE DISCOVERY IN DISTRIBUTED EXASCALE SYSTEMS USING A MULTI-AGENT MODEL: CATEGORIZATION OF AGENTS BASED ON THEIR CHARACTERISTICS

Resource discovery is a crucial component in high-performance computing (HPC) systems. This paper presents a multi-agent model for resource discovery in distributed exascale systems. Agents are categorized based on resource types and behavior-specific characteristics. The model enables efficient identification and acquisition of memory, process, file, and IO resources. Through a comprehensive exploration, we highlight the potential of our approach in addressing resource discovery challenges in exascale computing systems, paving the way for optimized resource utilization and enhanced system performance.
Envy and Employee Job Engagement: The Mediating Role of Abusive Supervision

The purpose of this research was to examine an impact of envy (E) on employee job engagement (EJE) by examined the Mediating role of abusive supervision (AS). Test like Reliability, Correlation and multiple linear regressions were used in analysis. Mediation was tested by utilizing the Baron and Kenny method. This research shows the relationship of envy, abusive supervision and employee job engagement. Results revealed that envy has negative impact on employee job engagement and envy has positive impact on abusive supervision. Moreover, abusive supervision has negative effect on employee job engagement. Current research examines wide-ranging framework for developing countries for envy, abusive supervision and employee job engagement in a single model. This research explores the phenomenon of E, AS and EJE in textile sector which is infrequently addressed in developing countries and will helpful for countries like Pakistan for improving the level of EJE. This research examined that AS act as partial mediator for the relation of E with EJE.
PROVIDE A MODEL BASED SENTIMENT ANALYSIS SYSTEM FOR SALES PREDICTION IN MARKETING ACCORDING TO THE AGA-LSTM NEURAL NETWORK MODEL

Data is today's most powerful tool; valuable facts and information can be determined by analyzing them using appropriate techniques and algorithms. Also, the rapid increase in access to Internet technology to a large mass of people worldwide has increased the importance of analyzing data generated on the web much more than before. The preceding discussion of this research is sales forecasting in marketing, which is very important in this topic. Marketing is a tool through which people's standard of living is developed, which is done before and after the sale. This research presents a model based on a dynamic analysis system for forecasting marketing sales based on the AGA-LSTM neural network model. It is challenging to recognize emotions in natural language, even for humans, and automatic recognition makes it more complicated. This research presents a hybrid deep-learning model for accurate sentiment prediction in real-time multimodal data. In the proposed method, the work process is such that after extracting emotional data from social networks, they are pre-processed and prepared for pattern discovery. The data is evaluated in the adaptive genetic algorithm, and the pattern is discovered in the designed neural network, and this pattern is discovered after discovery. The cornerstone of sales policies is improved. The adaptive genetic algorithm was used to optimize the parameters of the LSTM model, and the model can predict the types of goods and the total volume of online retail sales. In the simulation of the proposed method, in 3000 rounds of training, an accuracy of 76 has been achieved, which is an improvement of 11% compared to the primary method.
Optimalisasi Program Desa Bahasa Banjarrejo Kecamatan Batanghari Kabupaten Lampung Timur Melalui Komunitas English Training and Gathering (ESTAGE)

Learning and mastering English in nowadays is important. Mastering English as the international language gives some benefits. They are getting some important job, accessing to multiple culture, enabling us to travel around the world etc. Therefore, Banjarrejo, a small village in East Lampung, has a program to help&#x0D; societies to get an easy access to learn English in this village. The purpose of this study is to optimize the English language village’s program of Banjarrejo by 1) building English language community; 2) Enhancing human resources’ English skill; 3) providing place, material and media used in English community. This study is applied by using Asset-Based Community Development (ABCD). The results of this this study are formed: 1) English Training and Gathering (ESTAGE) as a community in learning English; 2) human resources who teach and facilitate societies in learning English; and 3) some facilities in learning English for community such as place, location, learning material, and media.
Analysis of science literacy skills of students of the Biology Education Study Program, Labuhanbatu University

Science literacy skills are a person's ability to apply scientific knowledge to real-world situations. This study aims to analyze students' science literacy skills. This research uses a qualitative descriptive method that aims to describe carefully and systematically the facts and nature of a particular population. The sample in this study was 56 students of Biology Education, Faculty of Teacher Training and Education, University of Labuhanbatu. The sampling technique uses purposive sampling. Data collection techniques in the form of essay tests and questionnaires. Data analysis techniques using the Miles and Huberman Model. The results of the study showed that the science literacy ability of students of the Biology Education Study Program was still classified as "low". The highest science literacy ability was in the content aspect of 35.71% while for the lowest test results in the attitude aspect of 3.57%. The low ability of science literacy students of the Biology Education Study Program at Labuhanbatu University, so that efforts are made to improve, especially in aspects of attitudes that are still unsatisfactory by structuring the scope of the material provided and the lecture process carried out, choosing the right and interesting media/learning model so that the atmosphere in the lecture process becomes more effective.Abstrak Kemampuan literasi sains merupakan kemampuan seseorang untuk menerapkan pengetahuan ilmiah pada situasi dunia nyata. Penelitian ini bertujuan untuk menganalisis kemampuan literasi sains mahasiswa. Penelitian ini menggunakan metode deskriptif kualitatif yang bertujuan menggambarkan secara cermat dan sistematis mengenai fakta dan sifat populasi tertentu. Sampel dalam penelitian ini mahasiswa Pendidikan Biologi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Labuhanbatu yang berjumlah 56 mahasiswa. Teknik pengambilan sampel menggunakan purposive sampling. Teknik pengumpulan data berupa tes essay dan kuesioner. Teknik analisis data menggunakan Model Miles dan Huberman. Hasil dari penelitian menunjukkan bahwa kemampuan literasi sains mahasiswa Program Studi Pendidikan biologi masih tergolong “rendah”. Kemampuan literasi sains yang tertinggi yaitu pada aspek konten 35,71% sedangkan untuk hasil tes terendah pada aspek sikap yaitu 3,57%. Rendahnya kemapuan literasi sains mahasiswa Program Studi Pendidikan Biologi Universitas Labuhanbatu, agar dilakukan upaya untuk peningkatan terutama pada aspek sikap yang masih belum memuaskan dengan cara melalui penataan ruang lingkup materi yang diberikan serta proses perkuliahan yang dilakukan, memilih media/model pembelajaran yang tepat dan menarik agar suasana dalam proses perkuliahan menjadi lebih efektif.
Application Fuzzy For Measuring Lecturer Performance Using Matlab Software

Research by Lecturer, Graha University Nusantara Padangsidimpuan, Simrittabumas Data still in Guidance Category for Upgrade to Intermediate Category are required to apply. For this, we need an application that can calculate and document the lecturer's performance in the resulting research. The purpose of this study is to apply fuzzy logic with Mamdani method to evaluate the research achievements of lecturers at Graha Nusantara Padangsidimpuan University. This study uses Mamdani fuzzy logic. The fuzzy Mamdani method is a method of mapping the input space to the output space. This method is a mathematical framework for expressing uncertainty, ambiguity, inaccuracy, lack of information, and partial truth. The phase of research using the Mamdani method is to create input variables from Sinta-accredited papers, Simlitabmas Grant papers, and papers from international and national journals. Find the maximum and minimum values for each variable. Create a fuzzy set using the Mamdani method. Building assertions with defuzzification using Matlab.
Challenges and Opportunities for Implementing Library Automation and Visitor Experience in the Era of the Industrial Revolution 4.0

The library is one of the institutions that provides services, both traditional (borrowing and returning) and modern (digital). Therefore, the library is important to be able to provide the best service for users. In relation to the digital ecosystem and the era of the industrial revolution 4.0, where the library user model is a virtual community, libraries need to provide innovative services, one of which is the application of the concept of library automation and visitor experience. This paper aims to explain the concept of library automation and visitor experience and its application in libraries during the fourth industrial revolution. The method used to explain these objectives is a descriptive method with observational data collection methods and literature reviews using various scientific reference sources, both printed books and electronic books, articles, and news. The results of this paper show that the application of the concept of library automation and visitor experience in the library can be done in five ways. The first is understanding real customers from digital users; the second is rearranging the strategy from a traditional base to an experiential basis; the third is the latest management and service models; the fourth is individuals and work culture; and the fifth is being aware of human and ecological issues.
Политика профилизации в образовании и социальное неравенство

The paper analyzes historical, normative and organizational aspects of the profiling policy. The author emphasizes the problem of the gap between the declared goals of profiling (ensuring the growth of the quality of vocational education) and the negative consequences of the relevant policy. Based on the data of longitudinal studies, the paper shows that educational profiling is, among other things, one of the mechanisms of reproduction and translation of the parameters of social inequality. The conclusion is substantiated, according to which the postponement of diagnostics and forks of educational tracking to later stages of training, as a rule, has positive consequences, since it reduces the «noise» (cumulative) effect of profiling, which consists in encapsulating inequality.
Classification of Histopathological Images from Breast Cancer Patients Using Deep Learning: A Comparative Analysis

Cancer, a leading cause of mortality, is distinguished by the multi-stage conversion of healthy cells into cancer cells. Discovery of the disease early can significantly enhance the possibility of survival. Histology is a procedure where the tissue of interest is first surgically removed from a patient and cut into thin slices. A pathologist will then mount these slices on glass slides, stain them with specialized dyes like hematoxylin and eosin (H&amp;E), and then inspect the slides under a microscope. Unfortunately, a manual analysis of histopathology images during breast cancer biopsy is time consuming. Literature suggests that automated techniques based on deep learning algorithms with artificial intelligence can be used to increase the speed and accuracy of detection of abnormalities within the histopathological specimens obtained from breast cancer patients. This paper highlights some recent work on such algorithms, a comparative study on various deep learning methods is provided. For the present study the breast cancer histopathological database (BreakHis) is used. These images are processed to enhance the inherent features, classified and an evaluation is carried out regarding the accuracy of the algorithm. Three convolutional neural network (CNN) models, visual geometry group (VGG19), densely connected convolutional networks (DenseNet201), and residual neural network (ResNet50V2), were employed while analyzing the images. Of these the DenseNet201 model performed better than other models and attained an accuracy of 91.3&amp;#37;. The paper includes a review of different classification techniques based on machine learning methods including CNN-based models and some of which may replace manual breast cancer diagnosis and detection.
PSYCHOSEMANTIC ANALYSIS OF STUDENTS' ATTITUDES TOWARDS DIFFERENT TYPES OF SELF-EDUCATIONAL ACTIVITIES

The article presents the results of a study on the attitude of student youth towards various types of self-educational activities. The research employed theoretical methods such as the analysis of scientific sources, data generalization, substantiation of types of self-educational activities among student youth, and formulation of conclusions. Empirical methods included a written survey using the psychosemantic analysis method to assess the attitude of student youth towards self-educational activities. The results were further analyzed using descriptive statistics and the Mann-Whitney U-test for mathematical data processing. The research findings provide insights into the attitude of student youth towards five types of self-educational activities, considering their assessment, level of engagement, and quality of implementation. Specifically, the study examines the attitude towards the following types of self-education activities: reading scientific literature related to the subject, searching for information on the Internet, participating in trainings and seminars, engaging in webinars and online courses, and watching video materials. The assessment of these types of activities encompasses their perceived importance for professional development, influence, efficacy, modernity, and dynamism. The study also analyzes the level of engagement in implementing these self-educational activities, including the awareness of knowledge, regularity of implementation, and level of interest. Additionally, the quality of implementation is assessed based on the degree of independence in organizing such activities and the presence of challenges during implementation. The findings indicate that student youth hold a generally positive attitude towards all types of self-educational activities, considering their perceived importance, influence, efficacy, modernity, and dynamism.
Empirical study of Africa macroeconomic fundamentals mismatch: Impact on economic development in Kenya

This paper is an analysis of the extent of macroeconomic fundamentals mismatch and theconsequent impact on economic development in Africa, a case of Kenya. A key contribution ofthis paper is to show that the macroeconomic variables such as finance, unemployment,international trade, government fiscal policies, as well as savings and investments by firms andhouseholds interact in the Kenya’s economy; and their total negative impacts owing tomisalignment with key trade sectors contributing the most to economic growth, account for thecountry’s weak pecuniary performance; a trend replicable in the larger Africa. The studyemployed quantitative research design using a self-administered questionnaire and targeted apopulation of 47 managers who are regulators, and commercial bankers, working withinNairobi, Kenya’s capital. Both secondary and primary sources of data were used in eliciting therequisite information essential for the research findings. Stratified random sampling wasemployed to select the sample data. The Statistical Package for the Social Sciences (SPSS)version 20.0 was used in data processing and analyses. The findings indicate that the mismatchof macroeconomic fundamentals in Kenya is significant, with a p = 0.0001, and has far reachingnegative impacts on the country’s economic development. Government fiscal policies, exports,and finance, had more devastating negative impacts on economic development in Kenya. There isa general trend indicating that firms and households tended to take advantage of investmentopportunities despite the unfavourable environment.
MOTIVATIONAL PROFILES OF EMPLOYEES IN UNDERTAKING LEARNING

education.The study determined the motivational profiles for learning among 94 non-traditional students, i.e. studying and professionally active, in groups separated by gender, age, cycle of studies and the position held.This article is an extension of research on motivation to learn using the assumptions of self-determination theory (SDT).The learning self-regulation questionnaire (SRQ-L) was used to diagnose the type of motivation and motivational profiles.Students declared in their grades that they were motivated to study primarily by autonomous regulation.The high impact of this regulation was pointed out by the respondents in the group of women studying at the first cycle of studies and not being managers.A low strength of motivation dominated among the diagnosed motivational profiles, represented by 30% of all the respondents.Good quality motivation was observed only among 19% of students.
The Use of Educandy Media on Learning English in the Covid 19 Pandemic Era

The Corona Virus (Covid 19) which began to hit this country in early 2020 not only had an impact on health, but also in terms of the economy and even education. Students are required to take online learning. Changes in the system of learning activities from face to face to online are considered boring for students. The process of learning English which is carried out online is considered less effective and makes student learning outcomes decrease so that interesting media are needed to be able to motivate and improve student learning outcomes. For this reason, researchers apply Educandy as an alternative to game-based learning that is not boring. Educandy is a website-based application that has the slogan "making learning sweeter" which can be used as a learning evaluation. The use of educandy with a more attractive, colorful and easy-to-apply appearance makes the learning experience more impressive. The purpose of this study was to find out how the use and effectiveness of Educandy media in learning English to become a motivating and fun educational game for students. The approach used by researchers in this study is to use a quantitative approach. The source of research data is the students of Ash Shoheh 2 Citeureup Vocational High School, totaling 20 people. Data collection techniques are using questionnaires and test questions to measure student learning outcomes. As for the results obtained, researchers can show the effectiveness of Educandy media on learning English during online learning in the covid 19 pandemic era.
The Effect of Mas Card to Increase the Attractiveness of Learning English for Senior High School Students

According to the online site nippon.com, English is the 5th most disliked subject by students. In contrast, mathematics is in the first position in the category of the least preferred subject (24.0%) but remains in the first position in the category of the most preferred subject (25.1%). Therefore, in fostering a sense of fun in English lessons, we introduce the MAS Card (Make A Sentence Card) as one of the media for English educational games. The MAS Card was created by Ari Abram, a student at Indraprasta University majoring in English education, the purpose of making this educational game is so that students can learn tenses in English and form sentences in a more fun way. This study has a verification purpose, to prove that the MAS Card can be used as a tool to foster a sense of pleasure in learning English among junior high school students, and to see how effective the MAS Card is in fostering interest in English lessons among junior high school students. This study uses a qualitative descriptive method, data will be collected through questionnaires that need to be filled out by students/participants to produce facts as they are using grounded theory. the results of this study will be presented in the form of oral data with a regular variable scale. To be able to show how much influence the MAS Card has in increasing the pleasure of learning English in junior high school students.