Reviewerly/exHarmony huggingface dataset:
BASIC STRATEGIES FOR CHOOSING A UNIVERSITY FOR STUDENTS IN MODERN RUSSIA

The article describes the strategies that young people use when they choose an educational institution to receive higher professional education: a strategy that takes into account the prestige of the university; a strategy based on recommendations from the nearest environment and a strategy for randomly selecting a university. Based on the results of the annual monitoring “Students of Russia: civic culture and life strategies” conducted by the Center for Political Science of the ISPR FSRC RAS, statistically significant value determinants were identified that influence the adherence of modern Russian students to each of the described strategies. The characteristics of the value profile of each group of students are given in accordance with their chosen strategy.
SPECIAL CHARACTERISTICS OF THE SOCIAL WELL-BEING OF MILITARY PERSONNEL

The article considers one of the significant social categories affecting the stability of the army, which consists in the social well-being of military personnel. Based on the analysis of scientific works that deal with the study of the social well-being of individuals, social groups, communities, as well as the specifics of the military personnel life as a separate category of citizens with a professional orientation combined with a lifestyle, a set of special indicators was formed. Such an approach makes it possible to monitor social well-being in various military units in order to make timely management decisions to ensure decent living conditions for military personnel, adequate to modern conditions in the country and the world, contributing to the motivation of all subjects of the Russian army to the quality performance of official tasks to ensure the stability of the state.
Optimizing cloud resource scheduling for enhanced energy efficiency

Energy consumption in cloud computing plays a vital role in operating costs for both the service provider and the cloud user. The cloud is scalable and can provide access as per demand. Due to this, resource access requests are increasing and submitted to the server. To manage all requests, scheduling is the solution to assign requests with the quality of service. To avoid high operating costs, resource scheduling needs to be energy-aware. In this paper, energy-aware resource scheduling in the cloud is proposed. The total resource utilization of each resource has been calculated, and energy is optimized through the antlion optimization algorithm to avoid high power consumption. The resource is identified with its best utilization value and assigned to submitted workloads on a priority basis. The experimental results of the proposed work are analyzed with existing autonomic frameworks, and it is found that the proposed work performs exceptionally well. In addition to addressing the increasing resource access requests, the proposed energy-aware resource scheduling in cloud computing also focuses on optimizing overall system performance. The antlion optimization algorithm is employed to efficiently manage energy consumption, ensuring that power usage is minimized without compromising the quality of service. The algorithm calculates the total resource utilization for each component in the cloud infrastructure, allowing for a thorough understanding of system dynamics. The paper optimizes cloud computing by prioritizing efficient and capacity-based resource assignment, improving responsiveness, user experience, and reducing costs. The approach also promotes environmental sustainability. Experimental results validate its effectiveness in energy efficiency and system responsiveness, contributing to advanced resource management in cloud computing for sustainable and cost-effective services.
IMPLEMENTASI SISTEM PAKAR UNTUK MEMPREDIKSI POTENSI KECANDUAN MAHASISWA TERHADAP GAME ONLINE MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

Technology development in Indonesia is very fast. There are many benefits of technology, one of which is for entertainment needs. Playing online games is a form of entertainment need. Apart from having benefits, online games also have a negative impact on life, namely that a person can become addicted. To ensure that someone has an addiction, that person must go to an expert, namely a psychologist. However, to do counseling requires a lot of money, so this early detection system is made for people who like to self-diagnose themselves addicted to online games. Expert system is a form of Artificial Intelligence. Implementation of an expert system can be collaborated with the forward chaining method. This research uses the waterfall development method. The data taken for this study were obtained through questionnaires and interviews. The data will be used in the form of a knowledge base which contains 6 aspects consisting of 40 lists of symptoms along with their indicators and 5 solutions obtained from interviews with a human expert. Decision making in an expert system will be processed using a formula that has been given by human experts. The results of this study are the percentage of potential addictions to online games and solutions obtained by answering knowledge base statements. The expert system produced by this researcher can be used as an initial assessment that makes it easier for psychologists to make diagnoses. Keywords : Expert System, Addiction, Game Online, Forward Chaining
Development of Cursive Writing Learning Textbooks for Lower-Grade Elementary School Students

This study aims to produce cursive writing skills learning textbook for lower-grade students in elementary school that is valid, practical, and effective. This type of research uses research and development with a borg and gall design. This study will focus on improving the cursive writing skills of lower-grade students in four elementary schools in the Karanganyar sub-district. Researchers collect data using observation techniques, interviews, questionnaires, and tests to determine the needs of teachers and students and determine the quality of the products that have been developed. The collected data were then analyzed using qualitative descriptive and statistical analysis techniques. The results of the statistical analysis were converted into qualitative values. The data on the cursive writing skills test results will go through N-gain, normality, and homogeneity. The results of this study indicate that the product developed gets a proper category based on the validation of experts and the responses of students and teachers. There is an increase in students' cursive writing skills after using soft writing learning textbooks.
Picture-Based Poetry Writing Book To Develop Poetry Writing Skills For Elementary School Students

This study aims to develop a product in the form of a poetry writing book with the help of image media. This research is a Research and Development research using the Borg and Gall design. This research was conducted in the Rembang sub-district using a sample of four elementary schools. The products developed will be tested for quality and feasibility based on their validity, practicality, and effectiveness. Data was collected using observations, interviews, and writing skills tests. After the data is collected, the data will be analyzed using descriptive qualitative techniques to analyze qualitative data and statistical analysis techniques to analyze quantitative data. The mean obtained from the statistical analysis was converted into a qualitative value. The results showed that the product in the form of teaching materials for writing poetry with the aid of picture media obtained valid, practical, and effective categories for use in learning.
STRATEGI KOMUNIKASI PEMBELAJARAN DAN PENGARUHNYA TERHADAP KUALITAS BELAJAR SISWA DI MASA PANDEMI

AbstactThe study aims to identify and find out (1) learning strategies that best used at the secondary education level during the pandemic (2) factors that influence the learning quality and (3) correlation and significance of communication in learning.Fatigue, boredom and passivity lead to students' less attention and focus during the learning process. Online-based learning has reduced active communication between teachers and students who, some of them, might just be listeners or just access the digital-based learning media without watching the video presentation. The situation challenges teachers to be more creative in identifying the best strategy to ensure good quality of learning.The study used the survey method and quantitative description. 5 percent out of total 100 students were done with random sampling. Observation and questionnaire distribution are instruments of data collection. The data was later analized using product-moment correlation (rxy) test and significance test with k-2 degree of freedom 78.The study concludes that there are correlation and significance between teachers' communication strategy and students' learning quality with the t-count result 10,3284 more than the t-table result 1,66462 and based on the KD test, iy was found that a value of 57,76% means that there is a contribution of variable X and Variable Y while 42,24 is influenced by other factors. Â Keywords: Strategy, Learning Communication, Learning Quality, Influence of Teachers' Communication on learning.
Influence of Financiers Education on the Quality of Education at Siburbur Elementary School, Tapanuli Regency

The results of the study show that there is an influence between the financing of education on the quality of education at SD Siburbur District Tapanuli. This is proven by the acquisition of the value of tcount (6.719)&gt; ttable (2.003) while the test results using simple linear regression indicate that Y = 39.064 + 0.726X, because the regression coefficient is positive (+), so it can be said that education financing has a positive effect on education quality. The value of R Square is 0.446, which means that 44.6% of the quality of education at SD Siburbur District Tapanuli is influenced by education financing, and 55.4% is influenced by other factors such as facilities and infrastructure and the quality of educators.
Why CJEM?

&#x0D; &#x0D; In today’s turbulent, complex, and uncertain environment it’s necessary for disaster and emergency management communities to be able to prevail against disruption and change just over the horizon. This requires us to learn, unlearn, and relearn.&#x0D; &#x0D;
Measuring legibility of public open spaces using Deep Convolutional Neural Network: A case study in Harbin

As one of the crucial factors on improving human perception and the efficiency of space utilization in urban environment, legibility represents to what extent the space can be easily identified. However, it has been usually measured by subjective survey or simulation and lacks appropriate quantification. Thus, this study proposed a data-driven evaluation approach based on street view images (SVIs) and deep convolutional neural network (DCNN), to measure the legibility of public open spaces. To validate the effectiveness of the method, a case study in the main district of Harbin was conducted, and a deep learning model, trained with 18,868 SVIs was developed (78.6% accuracy). Then gradient-weighted class activation mapping (Grad-CAM) identified and visualized that identifiable signs, such as brands, contributed most to legibility of public open places. Additionally, street furniture helped decision in low legibility spaces while architectural details helped decision in high legibility spaces. Meanwhile, an online survey with 62 participants was conducted, and 1060 samples were collected to compare the human perception and the DCNN model results. It was found that they had similar accuracy in overall distinguishing results (52.1%), while there were similarities and differences in decision-making basis. The results showed that identifiable signs were the common decision basis, and participants pay more attention to landmark in the background while DCNN was more sensitive to elements in foreground and middle-ground. The proposed model can be beneficial to understanding and measuring the public open spaces, thereby enabling the planners and designers to make a better decision to improve the urban environment.
RECESS: Resource for Extracting Cause, Effect, and Signal Spans

Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoğlu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, See-Kiong Ng. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models

Edoardo Mosca, Daryna Dementieva, Tohid Ebrahim Ajdari, Maximilian Kummeth, Kirill Gringauz, Yutong Zhou, Georg Groh. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations. 2023.
Conversation Style Transfer using Few-Shot Learning

Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Data from The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research

&lt;div&gt;Abstract&lt;p&gt;Tissue-based cancer studies can generate large amounts of histology data in the form of glass slides. These slides contain important diagnostic, prognostic, and biological information and can be digitized into expansive and high-resolution whole-slide images using slide-scanning devices. Effectively utilizing digital pathology data in cancer research requires the ability to manage, visualize, share, and perform quantitative analysis on these large amounts of image data, tasks that are often complex and difficult for investigators with the current state of commercial digital pathology software. In this article, we describe the Digital Slide Archive (DSA), an open-source web-based platform for digital pathology. DSA allows investigators to manage large collections of histologic images and integrate them with clinical and genomic metadata. The open-source model enables DSA to be extended to provide additional capabilities. &lt;i&gt;Cancer Res; 77(21); e75–78. ©2017 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
A PHYSICALLY BASED MATHEMATICAL MODEL OF HYDROPHYSICAL PROCESSES OF RUNOFF FORMATION DURING A CLIMATIC YEAR: THE GGI-GIDROFIZIKA MODEL

The paper presents a physically based mathematical model of the key hydrophysical processes of runoff formation at a catchment point over a long-term period. The model describes the freezing and thawing of soil, the formation and melting of the snow cover, the migration of moisture to the freezing front and the infiltration of rain and melt moisture, evaporation from snow, soil cover, vegetation, and water surface. Average daily values of meteorological parameters are used as initial information for mathematical modeling. The relevance of the study is caused by a need to reveal the main links between the processes of vertical heat and moisture exchange in soil and the environmental factors that determine their climate-driven nature. Using observational data from water balance stations, numerical experiments and an analysis of the influence of long-term variability of the key meteorological factors on evaporation from the land and water surface and on vertical moisture flows in soil were carried out.
A SYSTEM FOR DEVELOPING PROFESSIONAL PREPAREDNESS OF SOCIOCULTURAL SPECIALISTS FOR CREATIVE INTERACTION IN A DIGITAL LEARNING ENVIRONMENT

Purpose. The article is dedicated to the issue of designing a system of developing preparedness of sociocultural specialists to creative interaction in the digital learning environment.&#x0D; Materials and methods. The author substantiates the relevance of designing this system by the need to integrate sociocultural, pedagogical and digital aspects of professional activities in the professional training. In the course of the study, an analysis of scientific literature related to the study problem was conducted. The findings were then systematized and generalized to create a comprehensive system that captures the interconnectedness of social, cultural, and digital aspects of the professional activities. The research methods included the analysis of theoretical sources, the study and generalization of researchers’ experience on the issues of professional training of sociocultural specialists, as well as the analysis of empirical research and system design.&#x0D; Results. The study describes a developed and pedagogically substantiated system for raising preparedness of sociocultural specialists to creative interaction in a digital learning environment, including the main structural elements of the system, methodological approaches and principles that determine the internal logic of its development, as well as the set of conditions that ensure its effectiveness.&#x0D; Scope of application of the results. The results of this study are aimed at increasing the quality and enhancing the system of organization of professional training of these specialists.
Geographical Information System Design Web-Based Mapping of Hospitals In Padang City

Along with the rapid development of information technology, which can help the processing and reporting of data, it is very helpful for humans in completing work. Every aspect of life is attached to technology, the system does not have human activities that are separated from the role of technology. Information system is a system within an organization which is a combination of users, facilities, technology, media, procedures and controls aimed at obtaining complex information.The diverse hospitality sector with its uniqueness and supported by facilities and transportation facilities available in tourist areas can provide a very large government income. The Padang City Government has carried out promotions through mass media such as newspapers and pamphlets. However, this method is not enough to inform hospitality widely to local and foreign tourists. The tourists will have difficulty in determining the planning of the selection of lodging. Therefore, through the design and manufacture of a hospitality GIS, it is hoped that it can display an overview of the Padang City hospitality map so that it is more attractive and can be enjoyed by the wider community. Presentation of information in web form will make it easier for the public to access it.Geographic Information System (GIS) technology has developed rapidly. GIS is created using information derived from processing a number of data, namely geographic data or data relating to the position of objects on the earth's surface. GIS technology integrates database-based data processing operations that are commonly used today, such as capturing unique visualizations and the various advantages that geographic analysis can offer through map images. GIS can be presented in the form of a web-based application
Supervoxel Approach in an Efficient Multiscale Object-Based Framework

The use of supervoxel segmentation has shown substantial improvement in video analysis because it can improve object delineation and reduce computer workload. In this work, we have used SICLE (Superpixel Through Iterative Clearcutting), which is an innovative graph-based superpixel framework that makes multi-scale segmentation by exploiting object information. For segmenting videos, we changed the graph creation step. The framework has exceeded state-of-the-art approaches, and its results precisely delineate the object of interest.
Sistem Pendukung Keputusan Seleksi Pelatih Sepakbola Pada PSMS Medan Menerapkan Kombinasi Metode ROC Dan ARAS

Football coaches are people who are fully trained and guide players in carrying out training. Therefore in determining the feasibility of a trainer is very important. In the world of football, many football club management are not optimal in choosing coaches, as is currently experienced by the PSMS Medan football club, which is experiencing a decline in performance due to coaches who are less able to cultivate bad tactics or strategies so that at this time they are relegated. to the 2nd Caste of the Indonesian League which was previously in the 1st (Main) Indonesian League of Caste. In fact, so far in the process of selecting football coaches, especially at PSMS Medan, it is still being implemented in the form of direct appointments because this method does not sound objective, causing injustice to other candidates who may be better. Therefore, a system is needed to solve this, namely a Decision Support System to make it easier for football club management to determine football coaches and avoid system data calculation errors quickly and more accurately by using the Rank Order Centroid (ROC) method and the combination method. Additive Ratio Assessment (ARAS). From the results of this study, Angelo Alessio (A6) is eligible to become a soccer coach with a score of 1,682 as the first rank.
An Optical Character Recognition Post-processing Method for technical documents

Methods for correcting errors generated by Optical Character Recognition (OCR) system are being developed for a long time, with interesting results in their applications. However, these methods tend to work only on data with words that are part of an existing language and with a large semantic relationship between each word in the text. In this work, an error correction method is proposed that focuses on types of documents without these large semantic relationships inside their text. Instead, we focus on sparse text that tends to have little semantic relationship between the words found within itself. The proposed method uses machine learning to train classifiers capable of finding errors in the OCR output and run an isolated execution of the OCR system to fix the error. The final results indicate a good accuracy of 88.24% for error detection and an improvement of the character error rate (CER) of 14.2%.
Harmonizing Language Acquisition: Exploring the Link between English Song Listening Frequency and Vocabulary Proficiency

Students need to have a wide range of vocabulary to communicate effectively. However, many students face vocabulary-related problems such as a lack of vocabulary and difficulty in identifying word meanings. One of method that can help improve students' vocabulary is to listen to English songs repeatedly and acquire vocabulary through the lyrics of the songs. This study was conducted at SMAN 6 Sigi with a sample size of 90 students. This research is quantitative research with correlational method. The researchers collected data using interview and test. The Pearson Product Moment result of both data analysis instruments is 0.011. The category is neligible. This indicates that there is no relationship between both variables. There are several factors identified as the cause of no correlation; first, the context of the vocabulary measurement instrument is not relevant to the frequency listening instrument. Second is the low motivation of students to learn English through songs, as only about 29% of students have motivation to learn English through songs. Third, the listener's experience with English and the frequency of listening to English songs. Fourth is the student's time preference when listening to English songs. And the last factor is the music preferences of each student.&#x0D; Keywords: Correlation; Listening to English Song; Vocabulary