Reviewerly/exHarmony huggingface dataset:
Studi PerbandinganKemampuan Membaca Al-Qur'an Anak-Anak Desa Pidoli Lombang Kab. Madina dengan Menggunakan Metode Iqra dan Metode Al-Barqy

This research is about a comparative study of children's ability to read the Koran in Pidoli Lombang Madina village using the lqra' method and al-Barqy method, to find out how much children's ability to read the Koran uses the iqra method. al-barqy and wanted to know how the comparison speed of children's Al-Quran reading abilities using the igra method with the al-barqy method in Pidoli Lombang Village, Madina Regency. The data collected was classified into qualitative and quantitative data. Meanwhile, to prove the hypothesis of this research, statistical analysis is used here, namely the "t" test. Based on the description above, the results of this research show that the reading ability of children taught using the IQA method tends to be moderate. This is evident from the average score obtained by children of 47.58 and a standard deviation of 8.48. Likewise, the reading ability using the al-Barqy method is on average where the average score obtained by respondents is 54 with standard deviation of 10.32 The reading ability of children taught using the iqra' and al-bargy methods has a significant difference. This is revealed by obtaining a calculated 't' value that is greater than the table (2.25 2.0). Seeing the differences and based on the score obtained for the two eTbook methods, the reading ability using the al-barqy method is superior to using the iqra method.
Applying Distributional Semantic Models to a Historical Corpus of a Highly Inflected Language: the Case of Ancient Greek

So-called “distributional” language models have become dominant in research on the computational modelling of lexical semantics. This paper investigates how well such models perform on Ancient Greek, a highly inflected historical language. It compares several ways of computing such distributional models on the basis of various context features (including both bag-of-words features and syntactic dependencies). The performance is assessed by evaluating how well these models are able to retrieve semantically similar words to a given target word, both on a benchmark we designed ourselves as well as on several independent benchmarks. It finds that dependency features are particularly useful to calculate distributional vectors for Ancient Greek (although the level of granularity that these dependency features should have is still open to discussion) and discusses possible ways for further improvement, including addressing problems related to polysemy and genre differences.
Improving the Forecasting Accuracy Based on the Lunar Calendar in Modeling Rainfall Levels Using the Bi-LSTM Method through the Grid Search Approach

Rainfall is one of the climatic factors that influence various human activities and affect decision making in daily life activities. High intensity of rainfall can turn into a threat and cause serious problems such as causing various natural disasters. Therefore, it is essential to conduct rainfall forecasting to anticipate and enable preventive actions and can be used as a decision consideration in increasing the productivity and mobility of human activities. The aim of this study is to compare rainfall accuracy between the Gregorian and the lunar calendars using the bidirectional long short-term memory (Bi-LSTM) machine learning model through the grid search approach. This method was used because it can capture patterns arising from the simultaneous effects of two asynchronous calendars, Gregorian and lunar, which were used in this study by finding the right parameters. Monthly rainfall data from Bogor City, Indonesia, were used from the period of 2001 to 2022. The results show that the MAPE of the lunar calendar is relatively smaller at 14.82% which indicates the better forecasting ability than the Gregorian calendar which is 35.12%.
Enhancing Software Process Assessment with an Ontology-Based Tool: Integrating CMMI, SPICE, and TMMI Models

Software process reference models like Capability Maturity Model Integration (CMMI) and Software Process Improvement and Capability Determination (SPICE) have played a crucial role in evaluating processes for several decades. Their adoption by institutions has become essential for consistently delivering software projects to customers on time and with expected quality. However, conducting software process assessments demands considerable time, effort, and skilled personnel. This research introduces an ontology-based tool that facilitates software process assessment for organizations by integrating widely used process reference models, namely CMMI, SPICE, and Test Maturity Model Integration (TMMI). The development of this tool involves multiple stages: creating ontologies for each process reference model, integrating them into the tool, enabling querying capabilities, and visualizing the ontologies. Through a validation study in a selected organization, two sets of processes were assessed using the Ontology-Based Software Process Assessment Tool (OSPAT). The results demonstrated that organizations can benefit from OSPAT in evaluating their software development processes across diverse reference models, thereby enhancing overall process efficiency and quality.
About the manipulative influence of media information on modern youth

In the learning process today, media information is actively used - the media, the Internet, print media, cinema, radio, television and resources. It is known that during periods of instability and social conflicts, media information becomes a source of unreliable, fabricated and (or) incomplete information. Thus, it can not only mislead young people, but also turn into a tool for deliberate manipulation of the younger generation. Based on an analysis of research by domestic and foreign scientists, the authors characterize media information resources and common techniques that are used in the media as a tool of manipulative influence on students. An anonymous survey conducted among 1st–4th year students of the Federal State Budgetary Educational Institution of Higher Education «North Ossetian State University named after K.L. Khetagurov» allowed us to identify the most common media sources. Among traditional media sources are the Internet and television, and among new media are social networks, telegram channels, video blogs - blogs - websites, etc.). In a conversation with students of the psychological, pedagogical and mathematical faculties, it was revealed that, using a huge news flow, students are not ready to competently verify and select information, recognize truth and misinformation, and check false information. In this regard, according to the authors, it is necessary to develop educational programs that promote the formation of media competence of young people, and serious work is needed to prevent dangerous manipulations in the student environment.
The Role of Teaching Practice in the Formation of a Young Teacher

The article discusses the problem of organization and implementation of pedagogical practice in the preparation of bachelors - teachers of chemistry and biology. The problem of “teacher-student” interaction in the conditions of the modern educational environment is considered. The problem of burnout of teachers and their excessive workload is analyzed as a factor of unfavorable communication with students. The causes of conflict situations between students and teachers are investigated. The authors draw attention to the inconsistency of the existing requirements, their inadequacy and actual significance in the development of schoolchildren. The problem of formal education is substantiated and the necessity of learning in practice is emphasized. The existing assessment systems in the form of test papers and exams, in fact, play a positive role in their theoretical presentation, but not in practical implementation. According to the actual observation of students, it is concluded that the main reason is the attitude to the test papers and exams of teachers, parents. Children are subjected to strong psychological pressure, which subsequently leads to neurological disorders. It is necessary to shift the emphasis in education to the person himself, and not to his quantitative results, and create conditions in which learning and teaching will be comfortable and interesting. The authors want to draw attention to the indifference and automatism that has formed in the digital age. The problems described in the article are partly determined by the state of society. The era of globalization erases national and cultural norms, and people rush into technology, in fact, adjusting themselves and others to certain standards. The person of the future should not become a bot. We insist that people should think independently and carry out creative activity. It is necessary to be a creator, not a consumer, whom modern society is trying so hard to form.
Transformer-Based Multiple-Object Tracking via Anchor-Based-Query and Template Matching

Multiple object tracking (MOT) plays an important role in intelligent video-processing tasks, which aims to detect and track all moving objects in a scene. Joint-detection-and-tracking (JDT) methods are thriving in MOT tasks, because they accomplish the detection and data association in a single stage. However, the slow training convergence and insufficient data association limit the performance of JDT methods. In this paper, the anchor-based query (ABQ) is proposed to improve the design of the JDT methods for faster training convergence. By augmenting the coordinates of the anchor boxes into the learnable queries of the decoder, the ABQ introduces explicit prior spatial knowledge into the queries to focus the query-to-feature learning of the JDT methods on the local region, which leads to faster training speed and better performance. Moreover, a new template matching (TM) module is designed for the JDT methods, which enables the JDT methods to associate the detection results and trajectories with historical features. Finally, a new transformer-based MOT method, ABQ-Track, is proposed. Extensive experiments verify the effectiveness of the two modules, and the ABQ-Track surpasses the performance of the baseline JDT methods, TransTrack. Specifically, the ABQ-Track only needs to train for 50 epochs to achieve convergence, while that for TransTrack is 150 epochs.
An Integrated Autonomous Dynamic Navigation Approach toward a Composite Air–Ground Risk Construction Scenario

Unmanned transportation in construction scenarios presents a significant challenge due to the presence of complex dynamic on-ground obstacles and potential airborne falling objects. Consequently, the typical methodology for composite air–ground risk avoidance in construction scenarios holds enormous importance. In this paper, an integrated potential-field-based risk assessment approach is proposed to evaluate the threat severity of the environmental obstacles. Meanwhile, the self-adaptive dynamic window approach is suggested to manage the real-time motion planning solution for air–ground risks. By designing the multi-objective velocity sample window, we constrain the vehicle’s speed planning instructions within reasonable limits. Combined with a hierarchical decision-making mechanism, this approach achieves effective obstacle avoidance with multiple drive modes. Simulation results demonstrate that, in comparison with the traditional dynamic window approach, the proposed method offers enhanced stability and efficiency in risk avoidance, underlining its notable safety and effectiveness.
Teknik fotogrametri untuk mendapatkan model studi digital tiga dimensi dalam perawatan ortodonti

In the field of orthodontics, study models play an important role as diagnostic aids, photogrammetry techniques are used to obtain three-dimensional digital study models. This study model provides an accurate representation of the patient's teeth and occlusion, as well as assists in identifying dental and bone anomalies. In the creation of study models, traditional techniques using cement or gypsum are time-consuming and prone to inaccuracies. Three-dimensional scanning is the process of collecting and analyzing real-world objects or environments using digital data against their possible shapes and appearances. The collected digital data is then processed using three-dimensional scanning software so that it can be used to create three-dimensional digital models. Therefore, the use of photogrammetric techniques can improve efficiency and accuracy in orthodontic treatment. Photogrammetry requires several stages and the necessary equipment to produce good results. Photogrammetry itself has advantages and disadvantages. The three-dimensional digital study model is a better alternative to the traditional study model because it is not susceptible to physical damage, requires small digital storage space, can be transmitted instantly electronically, is a means of educating patients, and can be manipulated virtually.
Exploring High School Mathematics Teachers’ Experiences of Professional Development in the Integration of GeoGebra

&#x0D; This study investigated how high school mathematics teachers in South Africa integrate GeoGebra, a free dynamic mathematics software program, into their teaching practices. The research explored teachers' perceptions of the training they received for the GeoGebra software, their ability to create and implement GeoGebra-based lessons, and their confidence in using it in the classroom. The study employed an interpretive research paradigm to gather insights through unstructured interviews with four purposefully selected teachers from South Africa's Northwest Province. Despite the absence of a structured training program, the study findings indicate teachers' enthusiasm for adopting GeoGebra. The study underscores the need for the Department of Basic Education to enhance support to address potential obstacles and the importance of aligning GeoGebra training with existing guidelines for integrating information and communication technologies within the Department of Basic Education and school management. In summary, this study provides valuable insights into how professional development impacts high school mathematics teachers' incorporation of GeoGebra, with implications for the design and implementation of future programs aimed at helping teachers integrate technology into their instructional practices.
Transformation of the higher education system in the context of digital change: A research review on trends in the development of a post-digital university

Introduction. This article presents an analysis of a number of academic researches (in the Russian Federation, the Republic of Kazakhstan and the world) on the future prospects of the higher education system of post-digital university. The article aim is to determine the philosophical aspects of the ongoing changes based on a review of current research on the problem. Materials and Methods. The main methods of the proposed research are the philosophical analysis of academic researches in the field of education, as well as a review of the philosophical literature of 2020-2023 on the trends of the post-digital university. Results. The authors note that currently it put in the first place not the productivity of education, but its social characteristics. In a post-digital university, a radical paradigm shift is needed, the rejection of the standardized, algorithmic structure of the university, its transition to a socially significant, critical, responsible device. The authors show that new technologies, as well as digitalization in education, should not be a goal, but a means. Only then can progress in education and significant social transformations be possible. Conclusions. In conclusion, the authors note that the digitalization of the educational process itself, described in the leading documents on education, will not lead to any results, unless it is accompanied by serious transformations in the content of education.
NARRATIVE WRITING ABILITY PERFORMED BY STUDENTS OF ISLAMIC HIGH SCHOOL AL UKHUWAH SUKOHARJO: A SECOND LANGUAGE ACQUISITION CASE

&lt;p class="Keyword"&gt;The research conducted at MA Al Ukhuwah Sukoharjo aimed to explore second language acquisition among high school students, specifically focusing on error types and factors influencing these errors with a gender-based analysis. Utilizing a descriptive qualitative approach and the four stages of analysis—domain, taxonomic, componential, and cultural theme—the study identified 841 errors, with misformation errors comprising the majority at 51.6%. Female students exhibited a higher error rate at 80.38% compared to their male counterparts (19.62%). Causes of errors, such as overgeneralization, incomplete rule application, incorrect hypothesis conception, and ignorance of rule restrictions, were identified, with the latter significantly impacting language mastery. These findings provide valuable insights for educators, informing strategies to address challenges in mastering English, particularly in areas like tense usage, sentence structure, diction, and conjunctions among high school students at MA Al Ukhuwah Sukoharjo.&lt;/p&gt;
Proposed Metrics for Agile Business Intelligence

Business Intelligence has become the front of demanding technologies. The large or midsize companies need technology to adapt to changing requirements, to deal with a rich amount of data; to get correct information, to analyze data, and finally to quickly support decision makers. Developing an agile BI application can be defined as a short-delivering software application. This process is based on frequently adapting to changing requirements, involving customer participation, and delivering high-quality applications. Agile teams need a set of reliable metrics to measure their performance at different three levels: functionality, content, and scalability. This paper proposes Goal Question Agility Metrics that can be used in measuring the performance of agile teams working in developing business intelligence applications. Goal Question Agility Metrics is based on the Goal Question Metrics method that was developed by Victor Basili in 1994 [19]. In addition, Goal Question Agility Metrics depend on agile and BI concepts. GQAM proposes a set of metrics that are used to measure performance. The GQAM will be subjected to experiments using a real data set in the future.
English-Indonesian and Indonesian-English Code Switching Used by the Teachers in Teaching-Learning English at the 11th Grade of SMAN 2 Mataram in the Academic Year of 2022/2023

Language is the most important component of the lives of all individual’s life. People will be able to communicate with one another more conveniently and effectively if they use language. People speak a variety of languages for a variety of reasons. It could be anywhere, including home, work, school, or campus. In a communication process, people may switch language codes, such as the English language, to the Indonesian language or vice versa. This research aimed to identify and describe the types and functions of English-Indonesian and Indonesian-English code switching used by the teachers in teaching-learning English at the 11th Grade of SMAN 2 Mataram. This research concentrates on two English teachers who currently teach students in the 11th grade who are majoring in science during the academic year 2022/2023. This study employed a descriptive qualitative methodology, and observation was the primary data collection method. A pre-observation class will be held as the first step in this research project to choose the topic. From the results, during classrooms, the first English teacher’s utterances caused sixty-seven codes switching and the second English teacher’s utterances caused forty-six codes switching. While for the functions, both English teachers only used five out of six functions of code switching. The research results show that the type of code switching mainly used by the English teachers is inter-sentential code switching and the function used mainly by English teachers is managing class.
The Impact of Ethical Leadership on Stressors and Employee Performance

This study aimed to investigate the correlation between stressors and ethical leadership, and their impact on the performance of critical area nurses in a tertiary care hospital. The issue of stress among hospital staff appears to be a significant concern that impacts the functioning of the healthcare system. Questionnaires were used to gather data from 391 full-time nurses working in the critical care sector. The data focused on leadership style, employee performance, and stressors. Structural Equation Modeling conducted using SMART-PLS 4.0. The present study introduced a novel perspective for firms that aim to address work-life pressures and improve employee performance by emphasizing the positive impact of ethical leadership. Organizations have the ability to develop and improve the communication skills of their managers through planned training sessions. This organization should recognize the importance of research that emphasizes the role of leadership in terms of communication competency in order to optimize employee performance and enhance organizational efficiency.
Revocable and Traceable Undeniable Attribute-Based Encryption in Cloud-Enabled E-Health Systems

The emerging cloud storage technology has significantly improved efficiency and productivity in the traditional electronic healthcare field. However, it has also brought about many security concerns. Ciphertext policy attribute-based encryption (CP-ABE) holds immense potential in achieving fine-grained access control, providing robust security for electronic healthcare data in the cloud. However, current CP-ABE schemes still face issues such as inflexible attribute revocation, relatively lower computational capabilities, and key management. To address these issues, this paper introduces a revocable and traceable undeniable ciphertext policy attribute-based encryption scheme (MA-RUABE). MA-RUABE not only enables fast and accurate data traceability, effectively preventing malicious user key leakage, but also includes a direct revocation feature, significantly enhancing computational efficiency. Furthermore, the introduction of a multi-permission mechanism resolves the issue of centralization of power caused by single-attribute permissions. Furthermore, a security analysis demonstrates that our system ensures resilience against chosen plaintext attacks. Experimental results demonstrate that MA-RUABE incurs lower computational overhead, effectively enhancing system performance and ensuring data-sharing security in cloud-based electronic healthcare systems.