Reviewerly/exHarmony huggingface dataset:
Incidence of digital adaptive learning programs on academic results in mathematics

This research aimed to analyze the incidence of digital adaptive learning programs in the academic results of the students of the seventh year of basic general education in the area of mathematics. Deductive and inductive methods were used which allowed analysis of the state of the art on adaptive learning programs due to its relevant formality for the review of scientific literature, to support this research work, the theoretical contributions of several authors on the themes of adaptive learning programs, the Aleks artificial intelligence program, the use of technology as an educational resource and the academic performance of students in the teaching-learning process and the cross-sectional analytical method was used that allowed the collection of data through Through the survey technique, the population studied was 11 teachers and 105 students who attended the seventh year of basic general education of the 2021-2022 school year from four educational units in the city of Chone.
INOVASI LAYANAN PERPUSTAKAAN UMUM KABUPATEN TANAH DATAR SELAMA MASA PANDEMI COVID-19

As a result of the corona virus pandemic or Covid-19 spreading and hitting Indonesia since 2020, forcing the Government of the Republic of Indonesia to issue Government Regulation of the Republic of Indonesia No. 21 of 2020 concerning Large-Scale Social Restrictions on all activities involving large numbers of citizens. According to Law no. 25 of 2009 concerning Public Services states that every institution / agency engaged in public services including public libraries must have minimum service standards and pay attention to the rights and obligations of each party, both the agency itself and the community as parties who take advantage of these public services. activities and the people served can still take advantage of these services in the midst of a pandemic situation. This research uses a qualitative approach with a case study method. As for the data collection method using interviews with librarians at the Public Library of Tanah Datar Regency. In addition to interviews, data collection also uses observation and documentation methods to obtain valid data. This research was conducted in November-December 2021. Public Library of Tanah Datar Regency is located on Jl. Sultan Alam Bagagarsyah, Batusangkar. Public Library of Tanah Datar Regency is still operating as usual but by implementing strict health protocols such as maintaining distance, wearing masks and washing hands. The results showed that the information needs of the people of Tanah Datar Regency were quite high, indicated by the large number of people who still visited the library. Libraries need to immediately develop automated libraries and digital libraries and increase digital collections so that they can reach a wider audience as well as to anticipate a pandemic situation that lasts for a long time.
Educational Work in General Secondary Education Institutions: Modern Aspects

The relevance of the research topic is due to the fact that the education system does not meet the needs of modern personality. To bring up and develop the necessary skills that will help the child to adapt to the conditions in society, it is necessary to adjust the systemic approach of educational institutions. After all, today it is necessary to have a considerable resource to effectively cope with life’s difficulties. The foundation of this is laid during the school period. Therefore, the main task of educational institutions is to form a personality that is full of vitality and resilience in the modern world, strong spirit, initiative, morality, determination and great leadership potential, competitiveness, life skills, creativity and self-realisation. Therefore, based on this, the purpose of this article is to analyse the readiness of both teachers and students to innovate in the educational process at school. The object is the educational process itself as a major factor in innovative changes. The subject of research is the features of educational work in educational institutions. To effectively achieve the goal, several tasks were set, in particular, to analyse theoretical research on the topic of the article; determine the list of methods that will form the basis of empirical research; to conduct research and formulate conclusions, recommendations based on their results. As for the methods used during the writing – a range of theoretical (analysis, synthesis, generalisation, justification) and practical (content analysis, observation, conversation, testing, questionnaires) methods. The performed study provides an opportunity to generate the following results: today the teaching staff and students of secondary schools are not psychologically ready to introduce innovative mechanisms into the established educational process. In addition, the material and technical base of schools also does not correspond to the progressive strategies of modern personality development. Therefore, for the administration of educational institutions, there is an urgent need to work towards modern educational changes for the effective education of the younger generation. The results of the study will be useful for teachers, principals, social educators, psychologists, students of pedagogical universities and more
Development of geoinformation competencies among students majoring in History and Geography (44.03.05 Pedagogical Education)

This paper provides basic principles for the development and use of geoinformation software and methodological complexes of pedagogical education in the organization of distance learning at the university. The relevance of the topic of the work is due to the need to optimize the educational process at the university when studying a number of academic disciplines involving the use of geoinformation systems. In the context of increasingly and actively developing distance learning technologies, the use of traditional methodological techniques in the educational process reduces the effectiveness of cartographic and geoinformation competencies development among students, primarily due to the inability to use computer classes and other elements of the educational environment of the university. The main attention in this work is paid to the principles of development and use of educational and methodological geoinformation projects based on information from Earth remote sensing data, electronic maps, attribute tables and specialized databases. The basic concept of geoinformation software and methodological complexes development is based on the theory of neogeography. The paper presents the authors interpretation of the term geoinformation competence, which correlates with the main planned learning outcomes in the context of the requirements of the Federal State Educational Standard. The proposed methods and approaches allow a modern university teacher to effectively manage the process of creating educational and scientific projects of geographical orientation by students. Free software and source data are supposed to be used as they allow obtaining high-quality cartographic materials of modern level and contribute to students geoinformation competencies development. The research results are used to organize the educational process among students majoring in pedagogical education in the aspect of geoinformation competencies development. The authors have carried out a comparative analysis and evaluation of the effectiveness of modern geoinformation tools for the use of specialized GIS, software and methodological complexes and web services by teachers and students. As a result of the work, recommendations are given on the organization of the educational process, which contribute to geoinformation competencies development among students - prospective teachers in the context of distance learning at a modern university.
Design and Architecture of Local Health Platform

Health code is a special product created during the epidemic outbreak. As a digital personal health identity or information access, it serves as a safety valve during the epidemic outbreak, and has important reverence value at the technical level as well. Following the principles of uniform construction, centralized data management, diversified applications support and shared health code resources, the health code platform adopts a coordinated planning for its general framework design. On this basis, this paper further introduces the technical architecture, service architecture, scenario application building and interface docking mode of local health code platform.
DIFFERENT APPROACHES TO THE DEFINITION OF THE CONCEPT OF “NEED FOR SELF-REALIZATION” IN PROFESSIONAL ACTIVITY

The definition of “need” and its place in student's professional activity in higher educational establishment is studied in this work.&#x0D; The survey of having scientific researches in this field applied to pedagogy, psychology and philosophy is made. The analysis of works let us affirm that the definition “need” is one of the main definitions in theory of person development. In its turn, the highest constituent of definition of “need ” is the definition “need of self-realization in professional activity”.&#x0D; An insufficient research of these definitions in the context of professional activity of students gives the reasons for further learning and analyzing of this problem.&#x0D; It was learned that the definitions “need” and “self realization” have the qualities characterizing the forms of man's growth to personal and professional maturity.
A distributed crawler for IoVT-based public safety surveillance exploring the spatio-temporal correlation

Modern infrastructure development has led to a rise in deployed surveillance cameras to monitor remote locations and widespread infrastructures. In today’s networked surveillance environment, however, human operators are often overwhelmed with the huge amount of visual feeds, which causes poor judgment and delayed response to emergencies. This paper proposes a distributed crawler scheme (DiCrawler) for smart surveillance systems deployed on Internet of Video Things (IoVT). The IoVT camera nodes monitor continuous video input, track the object of interest while preserving privacy, and relay correlative information to targeted nodes for constant monitoring. Each IoVT node monitors the space inside its field of view (FoV) and notifies the neighboring nodes about the objects leaving the FoV and heading in their directions. A smart communication algorithm among IoVT nodes is designed to prevent network bandwidth bottlenecks and preserve computational power. The DiCrawler system can corroborate with human operators and assist with decision-making by raising alarms in case of suspicious behavior. The IoVT network is completely decentralized, using only peer-to-peer (P2P) communication. DiCrawler does not rely on a central server for any computations, preventing a potential bottleneck if hundreds of cameras were connected and constantly uploading data to a server. Each module is also in a compact form factor, making it viable to be mounted on traditional security surveillance cameras. Extensive experimental study on a proof-of-concept prototype validated the effectiveness of the DiCrawler design.
RESEARCH SKILLS AS AN INDICATOR OF READYNESS OF HIGH SCHOOL STUDENTS TO CREATIVE WORK

The article deals with the specificity o f investigating skills as an exponent o f future teachers’ readiness to the creative professional activities, their classification is given.
The Relationship Between Self-perceived and Teacher-perceived Principal Leadership Style

This paper presents the results obtained on a sample of 467 teachers and 25 principals from elementary schools in the wider city area of Tuzla. The subject of the research was the relation between self-perceived principal leadership styles and principal leadership styles perceived by teachers. The Multifactor Leadership Questionnaire (MLQ) was used to collect data; one version for principals and a different version for employees. The results obtained from the sample of respondents show no statistically significant difference between self-perceived and teacher-perceived principal leadership styles, and that the average scale values on the subscales of transformational and transactional leadership obtained on subsamples of teachers led by more transformational and less transformational principals statistically significantly vary. Correlation analysis showed that the dimensions of transformational leadership and laissez-faire leadership have a predictor value of teacher perception for principal (self) perception, with the laissez-faire style having a negative value. The probable reason for such results lies in the fact that principals with more pronounced transformational leadership characteristics have a greater ability for empathy and self-awareness, and are better at assessing their managerial strengths and weaknesses.
Flood Mitigation Strategies for Settlement Area in Kediri District

Referring to the IRB (Disaster Risk Index) released by BNPB in 2013, it shows that Kediri District is one of the administrative areas in East Java that has a high disaster index, one of which is flooding. Based on BPS data from Kediri Regency from 2012 to 2019 there was an increasing the population of 0.5-1%. In 2007-2019 the population increased by 8% accompanied by an increase in the number of residential areas by 25%. UU Number 24 of 2007 Article 47 states that to reduce disaster risk for people living in disaster-vulnerability areas, what must be done is to take mitigation actions. The results showed that areas with high flood vulnerability index were in the Badas, Kras, dan Ringinrejo. The evaluation results of the existing residential land in the three areas also stands on land that is not suitable for settlement and has low carrying capacity. So that five criterias are obtained along with alternative mitigation strategies that are suitable to be applied in Kediri District, especially in flood-vulnerability residential areas.
Progressive Training Technique with Weak-Label Boosting for Fine-Grained Classification on Unbalanced Training Data

In practical classification tasks, the sample distribution of the dataset is often unbalanced; for example, this is the case in a dataset that contains a massive quantity of samples with weak labels and for which concrete identification is unavailable. Even in samples with exact labels, the number of samples corresponding to many labels is small, resulting in difficulties in learning the concepts through a small number of labeled samples. In addition, there is always a small interclass variance and a large intraclass variance among categories. Weak labels, few-shot problems, and fine-grained analysis are the key challenges affecting the performance of the classification model. In this paper, we develop a progressive training technique to address the few-shot challenge, along with a weak-label boosting method, by considering all of the weak IDs as negative samples of every predefined ID in order to take full advantage of the more numerous weak-label data. We introduce an instance-aware hard ID mining strategy in the classification loss and then further develop the global and local feature-mapping loss to expand the decision margin. We entered the proposed method into the Kaggle competition, which aims to build an algorithm to identify individual humpback whales in images. With a few other common training tricks, the proposed approach won first place in the competition. All three problems (weak labels, few-shot problems, and fine-grained analysis) exist in the dataset used in the competition. Additionally, we applied our method to CUB-2011 and Cars-196, which are the most widely-used datasets for fine-grained visual categorization tasks, and achieved respective accuracies of 90.1% and 94.9%. This experiment shows that the proposed method achieves the optimal effect compared with other common baselines, and verifies the effectiveness of our method. Our solution has been made available as an open source project.
Automated acquisition of the alphabetical subject index to LBC schedules

The authors examine the possibility of using computerized workstations of classification developer for acquiring alphabetical subject index (ASI) to the Library-Bibliographical Classification (LBC) schedules. Through the computerized workstations, classification developers maintain the processes of the electronic standard of the Library-Bibliographical Classification schedules, including subject index development. In recent years, the problems of ASI development and its application for computerized information search have been insufficiently covered in the professional publications. The developers of the Library-Bibliographical Classification schedules take the chance to share their experience in this area. They analyze the problems of building summary ASI to the medium version of the schedules. The stages when the automated system failed to build the complex neststructure of the alphabetical subject index and repetitively had to be edited manually, are described. To illustrate the difficulties of building, the simple, complex and nest headings, as well as the fragments of index subject-nest headings are cited.
Multiple refinement and integration network for Salient Object Detection

The purpose of the salient object detection (SOD) task is to suppress the background noise and segment the salient foreground regions. Some previous methods considered the strategies of background suppression and multi-level feature fusion. Other methods encountered the problem that single-scale convolution features are difficult to capture the correct object size. This paper reconsiders the above problems and proposes a comprehensive solution to achieve SOD for improving the detection performance and ensuring relatively fewer parameters. First, it is difficult to achieve a better refinement effect through only one refinement operation. To this end, a multi-scale denoising module (MSDM) and multi-pooling refinement module (MPRM) are proposed to jointly complete the refinement task of multi-level features. Besides, it is difficult to fully integrate complementary features through only one feature integration operation. Mutual learning module (MLM) is proposed to preliminarily integrate multi-level features. To reduce information redundancy, multi-attention (MA) mechanism is used to assist further integration. The proposed algorithm is called multiple refinement and integration network (MRINet). Experimental results on five benchmark datasets show that MRINet outperforms state-of-the-art methods on multiple evaluation metrics. Moreover, our ResNet-based algorithm only contains 25.202 million parameters, which is less than other ResNet-based algorithms and can run at over 37 fps on a single GPU. The code will be available at https://github.com/dc3234/MRINet.
LAYANAN PERPUSTAKAAN PERGURUAN TINGGI DI MASA AWAL PANDEMI COVID-19: STUDI KASUS UNIVERSITAS GADJAH MADA

This study aims to see how the UGM library responded at the beginning of the COVID-19 pandemic. This paper describes the state of the library at Gadjah Mada University since it was closed in early March 2020 until November 2020. In addition, this paper provides details on how libraries have adapted during the COVID-19 pandemic. The research method used is descriptive qualitative. Data were collected from web pages, blogs, social media and interviews. The results show that the Gadjah Mada University library has undergone a service transformation that implements the COVID-19 health protocol. Almost all library services are virtualized. Therefore, there are several challenges faced by librarians and users in carrying out virtual activities in the library.
Study of Virtual Museum Tourism Experience from the Perspective of Creative Communication Management

Based on the theory of creative communication management, this paper takes Suzhou Museum, Dunhuang Museum and Louvre as examples, uses a combination of qualitative and quantitative analysis, and takes perceived quality and visitor satisfaction as indicators. It uses IPA analysis of virtual museums in six dimensions: convenience, novelty, richness, simulation, experience and functional realization, and studies the effect of virtual museum marketing communication. The study also analyzes the technical means and specific designs that can be used in the process of building and developing virtual museums, and explores the future development direction of digital museum construction.
THE DEVELOPMENT OF JUNIOR STUDENTS EAR FOR MUSIC ON TUNE BASIS DURING CHORUS ACTIVITIES

The article with intonation ear elaboration problems of elementary school pupils. It analyses the vocal zone character and factors, which have an influence on the intoning clarity, and examines some methodological principles of intonation ear elaboration of pupils the tune basis.
Impact of five important factors on restaurant performance and hospitality management: an empirical analysis of technological innovation

This study aims to explore the effects of five factors, i.e., price, food quality, ambiance, service quality, and online order on the performance of the Japanese restaurant of Kenzo in Iran. In this research, the required data were collected through a mixed-method involving both quantitative (with 81 participants) and qualitative (2 participants) approach. Data analysis was performed using the SPSS software. With the use of Lewin's Model of Change, the study's intervention plan was suggested. The Wilcoxon test results showed that the performance of the restaurant enhanced after the intervention. Foreign restaurants, especially Japanese ones, need to pay close attention to service quality and employees’ behaviors. This factor cannot be changed or improved overnight; it takes time and investment to grow. The findings of this study help the managers and policymakers of the restaurant to gain a deeper insight into the influence of the above-mentioned factors on customer satisfaction and, consequently, the revenue of the restaurant. Additionally, it was found that food quality, price, online order, and service quality are the most important common problems of Japanese restaurants in Iran. Two phenomena limited this study: sanctions posed by the U.S on Iran and the COVID-19 pandemic. Therefore, the results of this study may not be generalized in the post-sanction time and post-pandemic time. Due to the pandemic, most customers prefer not to be present in the restaurant, which limits the results of the research. On the other hand, for future studies, researchers can study how to guide restaurant owners to use social media to increase the number of customers and attract new customers, which can be one of the unique factors that can directly affect the restaurant's performance. To the best of the authors' knowledge, this issue has not been studied in the Middle East region yet.