Reviewerly/exHarmony huggingface dataset:
Cones generated by a generalized fractional maximal function

The paper considers the space of generalized fractional-maximal function, constructed on the basis of a rearrangement-invariant space. Two types of cones generated by a nonincreasing rearrangement of a generalized fractional-maximal function and equipped with positive homogeneous functionals are constructed. The question of embedding the space of generalized fractional-maximal function in a rearrangementinvariant space is investigated. This question reduces to the embedding of the considered cone in the corresponding rearrangement-invariant spaces. In addition, conditions for covering a cone generated by generalized fractional-maximal function by the cone generated by generalized Riesz potentials are given. Cones from non-increasing rearrangements of generalized potentials were previously considered in the works of M. Goldman, E. Bakhtigareeva, G. Karshygina and others.
MODELS AND ALGORITHMS FOR OPTIMIZING LEGAL INFORMATION RETRIEVAL IN THE CORPORATE NETWORK OF ACADEMIC LIBRARIES

With the rapid growth of information in the global network, the challenges of finding information quickly and easily in a narrow range of fields of study and specialization are increasing. People are constantly looking for information in some form throughout their lives. This is the result of the constant striving of human beings for innovation, efforts to improve personal and professional competencies. One of the main objectives of libraries is to meet people’s needs for information. In short, this process can be called the type of informational support. The main purpose of this research is to develop models and algorithms to optimize the effective search of information about health information in corporate networks. Electronic libraries in the field of jurisprudence serve not only to train personnel in the field of jurisprudence, but also to increase legal literacy in society, to make citizens aware of their rights and obligations, and to prevent them from becoming victims of various frauds. For organizations, it serves as the most important repository of knowledge for their employees to constantly update their legal knowledge, to draw up normative-legal documents, contracts and agreements within the framework of legal requirements. Despite the fact that the field of jurisprudence is one of the most important areas of activity, the provision of scientific information to this field is not sufficiently systematized. Different organizations and institutions store their existing legal literature in the way they choose, and there is no single mechanism for making it available to users, digitizing, classifying, and searching for it. Most library users rate the efficiency of the library by the availability of the necessary literature. A survey of law students and professors was conducted to examine the interest of library users in legal electronic literature and their use. More than 50% of respondents use the electronic library daily, 93% are looking for legal literature, and 50% of participants said it is difficult to find legal literature. Also, all respondents (100%) approved the need to create a single corporate network by pooling electronic resources of higher education institutions providing legal training.
ANALYSIS OF INFORMATION AND ANALYTICAL COMPETENCE IN IMPROVING LIBRARY EDUCATION

The article analyzes world concepts and foreign experience in creating a new paradigm in the development of information and library education in the digital age. It is proposed to use educational technologies in teaching information and library disciplines, taking into account the analysis of information and analytical competencies, which can change the quality of the process of training highly qualified specialists for information and library institutions of the republic.
FORMATION OF FUTURE TEACHERS' VALUE ATTITUDE TO THE TEACHING PROFESSION: PROBLEMS AND PROSPECTS

Pedagogical education determines the quality of professional training of specialists in all spheres of functioning of society and the state, which therefore contributes to their stability and development. In this regard, serious requirements are put forward to the personality of a modern teacher. However, the training of a teacher with an innovative type of thinking, ready for self-improvement throughout life, faces a number of problems: organizational, content, financial, etc. The development of modern pedagogical education is greatly influenced by informatization and the development of an open society, the development of civil society, the need to form a new cultural type of personality, etc. High requirements for the training of future teachers in modern conditions are in conflict with the falling prestige of this profession. In modern Ukrainian society the pedagogical profession is usually highly appreciated at the scientific and theoretical level, as well as at the declarative state level. However, despite this, in practice this assessment in terms of salary and working conditions is low. After all, the assessment of teachers by themselves as well as parents is not very high. The survey of future teachers (n=102) also confirmed this tendency. This circumstance actualizes the search for ways to form future teachers' value attitude to the teaching profession. Value attitude is the subject's internal acceptance of an object as a value. The value attitude to the pedagogical profession is represented by the unity of three components: cognitive, emotional and functional. In order to form in the mind of future teachers a value attitude to the teaching profession in the educational process of a higher education institution, a system was created in which the emphasis was placed on the formation of motivation for professional activity, modeling and solving professional and pedagogical tasks, as well as the permanent involvement of students in practical activities. The implemented pedagogical experiment proved the effectiveness of such a system.
Pengaruh Sistem Pengendalian Intern Dan Ketidak Patuhan Pada Peraturan Perundang-Undangan Standar Akuntansi Pemerintahan Terhadap Opini Audit

This study aims to examine the effect of the internal control system (SPI), and noncompliance with government accounting standard laws and regulations (SAP) on audit opinions. The sample in this study were auditors at the Riau Province Representative Office of the Audit Board of the Republic of Indonesia (BPK RI Pekanbaru). This research is a quantitative research. This study uses primary data collected using a questionnaire. In this study, the sample was 55 respondents using a saturated sample. The analysis tool used is SPSS 2.6. Based on the results of data analysis, it shows that the Internal Control System (SPI), and Non-Compliance with Government Accounting Standards Legislation (SAP) have an effect on Audit Opinion.
Mining heuristic evidence sentences for more interpretable document-level relation extraction

Current research on evidence sentences is aimed at developing document-level relational extraction models with improved interpretability. Evidence sentences extracted using existing methods are often incomplete, leading to poor relationship prediction accuracy. To address this problem, we developed a novel efficient heuristic rule and entity representation method. First, a heuristic rule is constructed according to the interactions between different mentions of the head and tail entities of the target entity pair, and evidence sentences are subsequently extracted. Second, pseudo documents, constructed according to the original document order, are used as input text to remove noisy statements. Finally, different representations of the same entity in different entity pairs are learned to represent it more accurately through the interactive mention of head and tail entities. Experiments on the document-level general domain dataset DocRED indicated that our heuristic rules improved sentence extraction by 6.01% compared to that achieved by the baseline model Paths-BiLSTM. In terms of relation prediction, the accuracy of the proposed method was comparable to those of existing models that use the entire document as input text; however, the input text used by the proposed method was shorter and more interpretable.
The Meaning of Nongak(農樂) Education in vocational High School and the Direction of Nongak Education in the Higher Education Level

Since the establishment of the Korean government, Gugak has entered institutional education. Attention was paid to this aspect because it shows that professional Korean traditional music education, which relied on apprenticeship education in the past, began within a modern and contemporary educational institution called “school.” Starting with high school education in the early 1950s, Korean traditional music education has been upgraded to higher education in universities over time. And as time went by, the number of professional education institutions also increased. But, it was only just before the 21st century that folk arts such as folk songs and folk games, including Nongak, entered higher education. Instead of higher educational institutes, in vocational high schools specialized Nongak education, which had been away from the center of education since the middle of 1950. It is clear that this phenomenon must be explored to shed light on changes in modern Nongak history and Korean traditional music education. This is because figures trained through Nongak education in the vocational high school space are currently actively participating in the transmission, performance, and education of Nongak in each region and have a significant impact on the current stage of Nongak transmission.
An Encoder–Decoder Architecture within a Classical Signal-Processing Framework for Real-Time Barcode Segmentation

In this work, two methods are proposed for solving the problem of one-dimensional barcode segmentation in images, with an emphasis on augmented reality (AR) applications. These methods take the partial discrete Radon transform as a building block. The first proposed method uses overlapping tiles for obtaining good angle precision while maintaining good spatial precision. The second one uses an encoder-decoder structure inspired by state-of-the-art convolutional neural networks for segmentation while maintaining a classical processing framework, thus not requiring training. It is shown that the second method's processing time is lower than the video acquisition time with a 1024 × 1024 input on a CPU, which had not been previously achieved. The accuracy it obtained on datasets widely used by the scientific community was almost on par with that obtained using the most-recent state-of-the-art methods using deep learning. Beyond the challenges of those datasets, the method proposed is particularly well suited to image sequences taken with short exposure and exhibiting motion blur and lens blur, which are expected in a real-world AR scenario. Two implementations of the proposed methods are made available to the scientific community: one for easy prototyping and one optimised for parallel implementation, which can be run on desktop and mobile phone CPUs.
Actual Contours of the Formation of Value Orientations of Modern Schoolchildren in the Interaction of the School and the Scientific and Educational Center

Values provide meaningful guidance necessary for the successful upbringing of the younger generation. The article presents a system of educational indicators based on the current regulatory documents. It is noted that in the current normative documents, education is defined as a purposeful activity aimed at developing the personality of students and creating favorable conditions for their self-determination and socialization on the basis of socio-cultural and spiritual and moral values. The presented system can help determine how effectively education at scientific and educational center corresponds to state policy. The inclusion of various social institutions in the educational process is indicated in the national initiative. The institutional approach is also important, as it allows us to consider education in the context of the school system as a whole, and not just as a separate process. The authors point out that the trajectory of the formation of values of modern schoolchildren allows us to understand what values and ideals are formed in the scientific and educational center and how they affect the development of the personality of students.
Analysis of Program Development, Benefits, and Challenges of Implementing "Kampus Mengajar" in Improving Teaching Skills of Muhammadiyah Makassar University Students

The purpose of this study is to analyse the development of the Kampus Mengajar programme and its role in improving the teaching skills of students at the University of Muhammadiyah Makassar, as well as the opportunities, benefits, and challenges of the program. This research uses a qualitative case study approach, with the participants being students of Muhammadiyah University of Makassar and the school staff, including the principal, teachers, and staff of SDI Bontoramba in Gowa Regency, South Sulawesi. The results showed that the Kampus Mengajar programme plays a very important role in developing and improving student teaching abilities and skills obtained through implemented programmes and teaching assistance in terms of increasing student literacy and numeracy. In addition, other programmes such as technology adaptation and administrative assistance also provide great benefits to the school, especially training on the implementation of online learning and the development of learning media. Teachers in the school are also able to practise directly and develop the ability to use technology in the teaching and learning process with the help of students at Kampus Mengajar. The role of universities also has a major impact on improving students' teaching abilities through evaluation and student teaching feedback. The program's challenges for students are related to a lack of student ability in terms of using technology during learning, as well as some students' low literacy and numeracy skills, requiring more intensive assistance, and also requiring creativity and innovation in creating learning media that are fun, useful, and on target.
Pedagogical Conditions for the Development of Professionally Important Qualities of Future Employees of the Internal Affairs Bodies

The changing social, political and economic conditions of society are reflected in the professional training of employees of the internal affairs bodies. The carried out theoretical analysis and comprehension of the results of the research activities of domestic and foreign authors in the context of the prevailing realities allowed us to identify the contradiction between the importance of improving the level of professional training of law enforcement officers and the existing insufficiency in taking into account their personal and professional potential. The implementation of a set of pedagogical conditions within the framework of a pedagogical experiment, carried out in accordance with the selected stages of the formation of the phenomenon under study, demonstrated the maximum increase in the level of its formation among cadets of one of the experimental groups, in the educational process of which the entire complex of pedagogical conditions was introduced. With the introduction of the first pedagogical condition, the number of cadets of the experimental group with a low level of the phenomenon under study decreased by 24 %, increased with an average level of 20 % and a high level of 4 %; of the second pedagogical condition, the number of cadets with a low level decreased by 33%, increased with an average level by 21 % and with a high level by 12 %; from three pedagogical conditions, the number of cadets with a low level of the phenomenon under study decreased by 58 %, increased with an average level by 23 % and with a high level by 35 %. The empirical data obtained allowed us to conclude about their high efficiency, and the possibility of their recommendation for practical use in universities of the Ministry of Internal Affairs of Russia.
Post-Pandemic Covid-19 Analysis: The Effect of Distance Learning Toward Learning Loss in Primary School

The spread of the Corona Virus Pandemic virus Disease 19 (COVID-19) resulted in the learning process in their respective homes. This impacts students' psychology and reduces the quality of students' skills, which is then suspected of learning loss. This research aimed to analyze the relationship between distance learning methods and the numeracy learning loss of elementary school students in high grades. This quantitative research uses a simple correlation method toward 150 elementary school students. Determination of the sample using a purposive sampling technique. The independent variable in this study is the distance learning method (X), and the dependent variable is the loss of learning numeracy (Y). Data were analysed by correlation test (Pearson Correlation), determination of the correlation coefficient with the R square model and t-test. Pre-analysis test includes a normality test using Kolmogorov Smirnov. The instrument in this research is questionnaires with a Likert scale. The research analysis results show a positive relationship between the independent variable (distance learning method) and the dependent variable (learning loss of numeration). Based on the coefficient of determination, the effect size is 46.2%, while the other 54.8% is affected by other factors besides the learning method.
Studying Intelligent Techniques Acting in Large Power Transformer Monitoring

The presented development is an intelligent diagnostic system for transformers that studied machine learning techniques to determine the operational status of these transformers.The study of these techniques is initiated by observing the quantities that define the operational behavior of large transformers, aiming to identify anomalies in their operation from data from sensors that equipment it in the functioning environment.This large power transformer has a theoretical service life of above 20 years and a low failure rate.Thus, obtaining failure values, which have their evolution monitored for large transformers, is almost nil.Therefore, a supervised machine training methodology to diagnose these cases is practically unfeasible.The study carried out with several traditional intelligent techniques can verify this.Several supervised methods (Closest Neighbor K-th Neighbor, Support Vector Machine, Radial Base Function,
Quality management within digital assessment strategies. the social perception of teachers in the post-COVID-19 period

The COVID19 pandemic has accelerated the process of adopting digital assessment strategies. The problem is that teachers apply digital assessment without taking into account the impact of assessment on educational purposes. This paper presents the results of the online questionnaire “Social perception of teachers in the post-COVID period19”, completed by 228 respondents. The results indicate that: a) teachers use various utilities to create digital tests prioritizing Google Form; b) assessment includes diagnostic, formative and summative activities; c) digital assessment is more interesting, motivating and objective if it is sensitive to psycho-pedagogical features and cultural aspects of the social group. However, most teachers consider assessment to be a method of measuring learning outcomes; emphasizing the importance of interactive and group assessment tasks, but also that the responsibility for the quality of learning lies with the teacher. We conclude on the importance of initiating a program of in-service teacher training in psycho-pedagogical literacy of the feasibility of digital assessment in the diversity of learning environments.
Scientific writing: A way to improve students' information literacy and reasoning ability

The abilities students need to fulfill the SDGs are current information literacy and reasoning skills. Apart from going through the learning process, this ability can be developed by the participation of students in extracurricular activities related to scientific writing. This service activity aims to provide scientific writing assistance for students at Batu Islam High School to improve information literacy and reasoning skills. The form of training carried out is to provide material related to various research that can be carried out by students both inside and outside the classroom and provide assistance to take part in scientific writing competitions at the national level. The instruments for community service activities used are information literacy questions and observation sheets. Data analysis was carried out descriptively. The results of community service activities show that there is an increase in students' information literacy and reasoning abilities. The results of the participation of students in the national competition won the third prize
Quantum Dynamic Mode Decomposition Algorithm for High-Dimensional Time Series Analysis

The dynamic mode decomposition (DMD) algorithm is a widely used factorization and dimensionality reduction technique in time series analysis. When analyzing high-dimensional time series, the DMD algorithm requires extremely large amounts of computational power. To accelerate the DMD algorithm, we propose a quantum-classical hybrid algorithm that we call the quantum dynamic mode decomposition (QDMD) algorithm. Given a time series X ∈ R n × ( m + 1) with n ≫ m , the QDMD algorithm first executes quantum singular value decomposition on a matrix related to X and obtains a quantum state containing the main singular values and singular vectors of the decomposed matrix, then performs a low-sampling-frequency process on the obtained quantum state and computes the low-dimensional projection of the DMD operator through the sampling results. Finally, the algorithm computes the DMD eigenvalues and prepares the amplitude-encoding states of the DMD modes using the obtained classical information and X . Considering the main variables, the complexity of the QDMD algorithm is <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mover accent="true"> <mml:mi>O</mml:mi> <mml:mo stretchy="true">~</mml:mo> </mml:mover> <mml:mfenced close=")" open="("> <mml:mrow> <mml:mi>M</mml:mi> <mml:msqrt> <mml:mi>m</mml:mi> </mml:msqrt> <mml:mtext>polylog</mml:mtext> <mml:mfenced close=")" open="("> <mml:mi>n</mml:mi> </mml:mfenced> <mml:mo>/</mml:mo> <mml:mi>ϵ</mml:mi> </mml:mrow> </mml:mfenced> </mml:math> , where <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>M</mml:mi> <mml:mo>=</mml:mo> <mml:mover accent="true"> <mml:mi>O</mml:mi> <mml:mo stretchy="true">~</mml:mo> </mml:mover> <mml:mfenced close=")" open="("> <mml:mrow> <mml:msup> <mml:mi>m</mml:mi> <mml:mn>3</mml:mn> </mml:msup> <mml:mo>/</mml:mo> <mml:msup> <mml:mi>ϵ</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:mfenced> </mml:math> denotes the number of samples. Compared with the classical DMD algorithm, which has complexity <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mover accent="true"> <mml:mi>O</mml:mi> <mml:mo stretchy="true">~</mml:mo> </mml:mover> <mml:mfenced close=")" open="("> <mml:mrow> <mml:mi>n</mml:mi> <mml:msup> <mml:mi>m</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mtext>log</mml:mtext> <mml:mfenced close=")" open="("> <mml:mrow> <mml:mn>1</mml:mn> <mml:mo>/</mml:mo> <mml:mi>ϵ</mml:mi> </mml:mrow> </mml:mfenced> </mml:mrow> </mml:mfenced> </mml:math> , the QDMD algorithm provides an exponential acceleration of n , at the cost of greater dependence on M and ϵ . We test the effects of M on the QDMD algorithm in the specific application scenarios of data denoising, scene background extraction, and fluid dynamics analysis. We determined that the QDMD algorithm requires only a small number of samples M in specific applications, further demonstrating the quantum advantage of the QDMD algorithm in high-dimensional data analysis.