Reviewerly/exHarmony huggingface dataset:
Role of Executive Functions in Improving Students' Narrative Text Writing Ability

This research was motivated by the low ability of students to engage in narrative writing. The purpose of this research was to examine the role of executive function in the process of students writing narrative texts and to investigate the contribution of executive function to various aspects of narrative text composition. The research method used in this study was a factorial analysis design to find out which executive functions contribute the most to the students' narrative writing skills. The participants of this study were 250 elementary school students with an age range of 9-12 years old. The data collection was carried out through several tests. The tests conducted assessed the transcription skills, language skills, and executive functions involved in the students' writing process, specifically using menggunakan CLAN (Computerized Language Analysis), Mean Length of T-unit in words (MLTUw), and the ERRNI test (Expression, Reception and Recall of Narrative Instrument). The research findings show that executive function contributes directly and indirectly to the students' narrative writing abilities. Aspects of the constraints encountered, updating, and planning contribute directly to both the long and short aspects of the text. In addition, the constraint and renewal aspects indirectly contribute to the length of the text, the level of complexity of the sentences, and the quality of the story content. The implication of this research is that a teacher must be able to optimize the implementing function, namely by planning, revising, and reviewing the students' abilities using various writing strategies and methods. The development of this executive function is very beneficial for students in relation to improving their writing skills, especially the writing of literary texts.
DETEKSI ANOMALI MENGGUNAKAN ISOLATION FOREST BELANJA BARANG PERSEDIAAN KONSUMSI PADA SATUAN KERJA KEPOLISIAN REPUBLIK INDONESIA

With relatively small transaction value but frequent, manual supervision of goods purchasing for operational needs such as inventory purchasing (account code 521811) becomes very expensive and time-consuming. As a result, spending on this 521811 account becomes vulnerable to fraudulent practices. With the highest realization purchasing value for account 521811, the Budget Section (BA) 060-Polri faces the most significant risk of fraud on that account compared to others. Machine Learning Modeling can be used to automate internal control over this risk with much greater efficiency and effectiveness. Usually, one of the early indications of fraudulent transactions is the irregularity of the transaction pattern from normal behavior (anomalies). This study tries to detect anomalies using the Isolation Forest method at BA 060. The experiment results show that the model is able to detect anomalies of inventory purchasing (account 521811) in working units of BA 060-Polri optimally at the contamination parameter value of 0.3%. Further development of this model can be used as an additional feature in the payment module of the SAKTI application to automate anomaly detection when the operator performs the transaction inputting process.
Static Hand Gesture Recognition Using Novel Convolutional Neural Network and Support Vector Machine

Hand tracking and identification through visual means pose a challenging problem. To simplify the identification of hand gestures, some systems have incorporated position markers or colored bands, which are not ideal for controlling robots due to their inconvenience. The motion recognition problem can be solved by combining object identification, recognition, and tracking using image processing techniques. A wide variety of target detection and recognition image processing methods are available. This paper proposes novel CNN-based methods to create a user-free hand gesture detection system. The use of synthetic techniques is recommended to improve recognition accuracy. The proposed method offers several advantages over existing methods, including higher accuracy and real-time hand gesture recognition suitable for sign language recognition and human-computer interaction. The CNN automatically extracts high-level characteristics from the source picture, and the SVM is used to classify these features. This study employed a CNN to automatically extract traits from raw EMG images, which is different from conventional feature extractors. The SVM classifier then determines which hand gestures are being made. Our tests demonstrate that the proposed strategy achieves superior accuracy compared to using only CNN.
Culture Manager: Field of Professional Activity

The scientific topicality. If the industry has low entry barriers, rapidly changing demand for goods/services, and there is a significant creative component, then there are great difficulties in quantifying the capacity of the labor market and clearly understanding the demand for workers. We observe such a situation in the field of cultural industries.&#x0D; Modern societies are experiencing drastic changes, peopleare immersed in the process of searching for identity, which can also contribute to the relevance of acquiring education in the field of socio-cultural activities.&#x0D; The purpose.To outline of the sectors of professional activity of the manager of culture within the field of cultural industries.&#x0D; The methodology. During the research, the analytical method, methods of description, comparison and generalization were applied.&#x0D; The results. Clarification of the boundaries of the field of cultural industries, classification of activities, clarification of the names and professional tasks of specialties is an urgent need for further institutionalization of the field.&#x0D; The scientific novelty. It is proposed to consider the specialty “Management of culture” as having a generalizing nature and covering all types of activities in the field of cultural industries. The division of the functional tasks of the profession in the form of specializations is defined. As a part of the specialty, the specializations “art management”, “production”, “cross-cultural management” are provided for some of the tasks for the production of cultural/artistic products. According to the functions in the field of culture, the division of tasks into sectors in the field of professional employment is proposed.&#x0D; The practical significance. Elaboration of the structure of employment in the field of culture. Understanding the prospects and forecasting the further development of various sectors. The options were added for the development of cultural industries in a separate area of the territory of the community and/or industry (companies, organizations, institutions) and the ability to determine the degree of demand for specialists, prospects for their employment.&#x0D; The conclusions. Thanks to the general picture of the industry and the detailing of the types of activities, it is possible to assess the shortage/surplus of economic entities in sectoral and territorial section, analyze the dynamics of business activity and, accordingly, further prospects for the demand for specialists and employment opportunities.&#x0D; Determining the applied and comprehensive nature of culture management activities, the proposed criteria for dividing specialized activities into art management, production, and leisure management are a subjective assumption and a reason for professional discussion.
Teaching Quality Evaluation of Online Courses Based on AHP-FCE Evaluation Technology

The COVID-19 pandemic posed a considerable challenge to education and teaching. The concept of “Internet + Education” accelerated the construction and popularization of a large number of online teaching platforms, accompanied by the emergence of various massive open online courses and online classroom teaching platforms. Thus, evaluating the teaching quality of online courses has become essential. Diversified scientific evaluations of traditional teaching fail owing to problems such as single evaluation subjects, imperfect evaluation standards, and low evaluation efficiency. In this study, first, documents on evaluation index systems and evaluation methods for identifying the teaching effect of online courses are classified, and observation points of an online course teaching effect evaluation in 16 aspects before, during, and after class are proposed. Second, the index weights are determined based on analytic hierarchy process, and a fuzzy comprehensive evaluation model is established to evaluate the online course teaching effect in six application-oriented universities in Henan Province, China. Results show that the observation points of the online course teaching effect evaluation proposed in this study are scientific and reasonable. Specifically, among the observation point indices, X-16, X-2, and X-3 have substantial weight, and the overall average score of the online course teaching effect of the case study subjects is 3.756, with a –24.88% room for improvement compared with the full score of 5. The method can effectively evaluate the teaching quality of online courses scientifically and accurately. The results also have important reference value for elevating the quality assurance standards of online teaching, thereby perfecting the dynamic process of online teaching quality assurance and realizing the effectiveness of online teaching results.
Learning Path Recommendation of Intelligent Education Based on Cognitive Diagnosis

Many learning path recommendation methods of intelligent education have been proposed and implemented. However, many of them have problems or limitations, which may result in unsatisfactory recommendation results. Therefore, this research aimed to study the learning path recommendation method of intelligent education based on cognitive diagnosis. Combined with a cognitive diagnostic model (CDM), personalized and accurate learning paths were recommended to students. This study fully considered the multidimensional features of interaction between students and knowledge when designing the CDM, described the cognitive process, and provided a comprehensive ability modeling method based on cognitive rules. A neural matrix decomposition model was constructed, which incorporated the personality features of students’ comprehensive ability level based on cognitive rules, thus obtaining their predicted scores in various knowledge and skills learned. The model consisted of three parts, namely, the generalized matrix decomposition part, the multi-layer perceptron part and the NeuMF layer. Finally, the experimental results verified that the constructed model was effective.
PERAN SISTEM INFORMASI MANAJEMEN DI SEKOLAH SMP MUHAMMADIYAH KOTA BANDUNG

This study focused on examining the management of learning information systems and its impact on organizational development. The research employed both interview and literature study methods to gather relevant material, data, and information from various sources such as books, journals, and articles pertaining to the subject matter. The findings of the study indicate that computer-based systems, particularly the School Information Management (SIM) system, enable educational institutions to efficiently and effectively carry out learning activities aligned with their organizational objectives. Computer-based management information systems offer numerous advantages, including speedy processing, high accuracy, and other beneficial features that contribute to organizational growth. In conclusion, this research establishes that management information systems play a crucial role in supporting the advancement of learning processes. By leveraging the benefits of these systems, educational institutions can foster development and progress in their learning environments.
Study of the Motivation of Graduates in Obtaining and Continuing Pedagogical Education

Introduction. “A teacher, if they are honest, must always be an intent learner” (Maxim Gorky). Education is a process that continues throughout a teacher's professional career and is an essential element in their growth and development as a specialist. The question of motivation in obtaining and continuing pedagogical education is related to the specific nature of the teacher's work as a translator of incentives to understand the reality. The purpose of this study was to examine the motives for obtaining and continuing pedagogical education. Materials and methods. The article presents the results analysis of a poll survey of graduates of pedagogical specialties at various levels of education: vocational training, bachelor's degree level, and master's degree level (176 people). The survey considered the aspects that reveal educational motivation, such as the probability of continuing education, the planned level and direction of training, the optimal form of education, motives for choosing a specialty, evaluation of the mastering quality level of educational programs, assessment of the teaching process at the university, evaluation of the situation with jobs while studying and prospects in the labor market, evaluation of professional training, and recommendations for improving the structure and content of educational programs. Results. Most of the surveyed graduates at all levels of education (69%) have a clear understanding of their prospects in the system of continuous pedagogical education. Students at the vocational education level are the most motivated to continue their education, while master's degree students are more motivated to realize themselves in their chosen profession. However, at the bachelor's degree level, serious difficulties arise in maintaining motivation to continue pedagogical education. Graduates at all levels of education are increasingly opting for alternative directions when choosing further education. The poll results show that participation in practical activities plays a huge motivational role in professional training. However, students note a lack of such activities, including all types of internships. Conclusion. The data we gathered on the motives for obtaining and continuing pedagogical education should be taken into account when implementing the principles of continuous education.
Didactic strategies for virtual teaching in secondary education

Virtual education took off after the suspension of face-to-face activities due to Covid-19. In Ecuador, high school education adopted virtuality to follow the activities, so this study had the objective to determine the didactic strategies used for virtual teaching in Ecuadorian high school education . It was a qualitative, theoretical, documentary type, bibliographic design, descriptive level research. Among the results, it stands out that all the research reviewed mentions the design of interactive activities, the use of educational platforms, and the use of multimedia resources; no coincidences were found with the a priori categories: class recording and online evaluations. Emerging categories such as time organization, relevance of teacher participation and motivation were obtained. In conclusion, the studies prioritize the use of digital tools and social networks as tools for connection and interactivity.
Strategyproofness-Exposing Mechanism Descriptions

A menu description presents a mechanism to player i in two steps. Step (1) uses the reports of other players to describe i's menu: the set of i's potential outcomes. Step (2) uses i's report to select i's favorite outcome from her menu. Can menu descriptions better expose strategyproofness, without sacrificing simplicity? We propose a new, simple menu description of Deferred Acceptance. We prove that---in contrast with other common matching mechanisms---this menu description must differ substantially from the corresponding traditional description. We demonstrate, with a lab experiment on two elementary mechanisms, the promise and challenges of menu descriptions.
Methodology of the Blockchain Monitoring Framework

A blockchain is a technology that allows the storage and transmission of information without a control body. Technically, it is a distributed database in which the information sent by users is verified and grouped into blocks, thus forming a chain. Thanks to the secure encryption of the data and the fact that new transactions are linked to the previous ones, it is almost impossible to modify the old records without modifying the following ones. On the other hand, the control of the blockchain by more than half of the nodes in the network (by consensus) makes it impossible to falsify the data in the blockchain. However, this public/private, anonymous, and unforgeable ledger that is the blockchain contains a set of information (metrics, logs, etc.) that can provide clues for an efficient monitoring and allow the reinforcement of the security of the blockchain that could be discussed in the future with the advent of quantum machines.
Constants of media culture and constants of the movement of theoretical thought: notes of a fellow-thinker (review of the collective monograph “Media Culture of the digital era: state, problems, prospects”)

A review of the book by Tambov scientists "Media Culture of the digital Era: state, problems, prospects: a collective monograph" (2022) (Derzhavinsky Publishing House, Tambov, Russia) is presented.The features of researchers' approaches to the study of the problems of the digital era in media culture are considered.The conclusion is made about the scientific significance of the monograph.
Identifying the source of movie piracy: cryptographic fingerprinting for tracking movie content

Background: The unauthorized distribution of movies through piracy has become a widespread issue affecting both movie studios and OTT streaming partners. This research introduces a novel method utilizing cryptographic fingerprinting to track movie content, with the goal of identifying the precise source of piracy. Methods: The developed specialized software that utilizes the cryptographic fingerprinting algorithm to analyze pirated movie content obtained from various online piracy platforms. The software employs computer vision techniques to identify the source of piracy, including the specific theatre, showtime, and recording location within the theatre. Results: Our experiments demonstrated the effectiveness of the proposed cryptographic fingerprinting approach. The software successfully detected and analyzed pirated movie content from a wide range of online piracy platforms. Conclusions: The cryptographic fingerprinting technique allows for the identification of the source of piracy, including the specific theatre, showtime, and recording location within the theatre. By swiftly reporting these details, our software aims to aid in the prevention of future piracy incidents, ultimately eliminating the source of piracy.
Tracking any audio content streamed or played anywhere to its origin or piracy

Background: The unauthorized distribution and consumption of audio content have been on the rise in recent years, posing a significant threat to content creators and streaming partners. In this research, we proposed a revolutionary method that enables the tracking of audio content to its source of piracy by employing cryptographically invisibly fingerprinted technology. Methods: Our approach utilizes advanced cryptographic techniques to embed inaudible fingerprints within audio frames. These fingerprints serve as unique identifiers that can be traced back to the source of piracy. Our specialized software employs sophisticated algorithms to detect and extract these cryptographic fingerprints from the pirated audio content. The software then compares the extracted fingerprints with a database of authorized sources to determine the origin of the piracy event. Results: Through extensive testing and analysis, we have demonstrated the effectiveness of our proposed method in accurately tracking audio content to its source of piracy. Our software consistently detects and reports the source, location, and time of the piracy incidents within a matter of minutes. Conclusions: The research presented in this paper introduces a novel method for tracking audio content streamed or played over the internet to its source of piracy. By employing cryptographically invisibly fingerprinted technology, we can accurately detect and report piracy incidents within minutes, providing content creators and streaming partners with actionable information to combat piracy effectively.
Efficient classification and preservation of log integrity through propagated chain in cloud

Preserving the integrity of log data and using the same for forensic analysis is one of the prime concerns of cloud-oriented applications. Since log data collates sensitive information, providing confidentiality and privacy is of at most importance. For data auditors, maintaining the integrity of the log data is a prime concern. Existing models focus on providing models and frameworks that relies on any third-party entity or the cloud service provider (CSP) to handle the logs, which lacks in securing the integrity due to the presence of the external entities. Sole dependence on CSP is a major flaw together with a drawback, since the CSP itself is prone to data theft alliance. In this paper, we instantiate a mechanism which maintains the integrity of the log without compromising the performance efficiency of the system. The influence of machine learning classification techniques is leveraged in order to efficiently classify the log data before it is processed. Progressively the log data integrity is maintained through the proposed Propagated Chain of Log Blocks (PCLB), the Hybrid Vector Committed BST (HVCBST) and lightweight Multikey Hybrid Storage (MKHS) structures. The results of the implemented systems have proven to be efficient and tamper proof compared to the existing systems and can be easily rendered in any private or public cloud deployments.
Pengaruh Model Pembelajaran Make a Match dan Card Sort terhadap Hasil Belajar Siswa pada Tema 7 Subtema 2 Kelas V SDN 132416 Tanjungbalai T.A 2022/2023

This study aims to determine the effect of the Make A Match and Card Sort Learning Model on student learning outcomes. The implementation of this research involved two classes with a face-to-face learning system where the VA class used the make a match model and the VB class used the card sort model. In this study the research design that will be used is the Nonequivalent Control Group Design. The sample in this quantitative study was class V-A with a total of 24 students as the experimental class I with a total of 10 males and 14 females and Class V-B with a total of 24 students with a total of 10 males and 14 females as experimental class II. The data collection technique in this study was a multiple choice test. The data analysis technique used in this study is the normality test, homogeneity test and the Mann Whitney test. Based on the results of the Wilcoxon test, the value of p = 0.000 was obtained, so it was concluded that there was a significant influence of the card sort model on learning outcomes. On average, the make a match model is better than the card sort model, because the average score (Post Test) on make a match is higher, 16,667, compared to the card sort model, 14,250. Based on the results of the Mann-Whitney test, it was obtained that the value of p = 0.001 &lt;0.05, it was concluded that there was a significant difference in effect between the make a match and card sort models on learning outcomes. In other words, the Make a Match Model is significantly better than the Card Sort Model.