Reviewerly/exHarmony huggingface dataset:
Power System Uncertainty Modeling Based on Gaussian Process

In order to solve the problem of low accuracy of parameter estimation in expectation maximization algorithm, a modeling method based on Gaussian component number reduction is proposed. Taking the nonparametric kernel density estimation results as the base Gaussian mixture model, the Gaussian mixture model with any number of Gaussian components can be established by reducing the number of Gaussian components by using the density-preserving hierarchical expectation maximization algorithm, which overcomes the problem that the expectation maximization algorithm has low parameter estimation accuracy when there are many Gaussian components. In order to reduce the burden of modeling calculation under large samples, a hierarchical modeling method based on time scale is proposed. In order to solve the problem of Gaussian component number combination explosion of independent random variables, a hierarchical modeling method of “combination-reduction” is proposed. The proposed method is tested by using measured multidimensional wind speed data and load data with complex distribution characteristics. The experimental results show that the Pearson and Spearman correlation coefficients of GMM constructed based on this method are very close to the sample data. The absolute value of Pearson correlation coefficient error is 0.03739, and the root mean square value of error is 0.02388. The absolute value of Spearman correlation coefficient error is 0.11693, and the root mean square error is 0.05797. Conclusion: The accuracy of the proposed method is significantly better than that of Gaussian mixture model and Copula function method based on expectation maximization algorithm.
The Theoretical Merits and Practical Challenges of Adopting an ESAP Methodology in Teaching ESP, with an Emphasis on the Pragmatic Viability of an EGAP Approach

This article vividly exhibits and distinguishes the distinctions between teaching ESAP and EGAP. It defines the two approaches and shows which teaching approach is the realistic option according to the author's point of view. The author hence proceeds with elucidations on why EGAP is the realistic option and elaborates on the five roles of an ESP teacher. In addition, the author mentions a study that was conducted in Vietnam. The study was based on a systematic literature review of current research on English for Specific Academic Purposes (ESAP) and English for General Academic Purposes (EGAP) teaching approaches, and 15 relevant studies were synthesized. Some of this research showed positive results, while others showed negative results of the approaches. The final results of this study show that ESAP learning was hard in practice. It shows how EGAP is considered a course to equip and prepare students for ESAP courses. It prompts EGAP through group work and suggests it will make students feel less intimidated. The weaker students will learn from the stronger students in an EGAP group working class. It shows one of the relevant study's responses and teachers who think EGAP is significant in teaching before students can enter ESAP courses. Scaffolding is considered a significant role teachers need to ensure learners have reached their needs in both approaches. In the latter part of the article, the author mentions her experience teaching ESAP at Kuwait University, specifically at the College of Engineering. The authors show what difficulties they have gone through and how they managed to teach at this college.
Effect of Knowledge Acquisition on Organizational Performance

In today's ever-evolving and fiercely competitive business environment, the acquisition, assimilation, and effective utilization of knowledge have emerged as quintessential drivers of organizational success. Knowledge acquisition, which encompasses not just the accumulation of data but also the cultivation of tacit and explicit knowledge, plays a pivotal role in fuelling innovation, facilitating informed decision-making, and fostering adaptability. This study examines the impact of knowledge acquisition on organizational performance, with a null hypothesis guiding the inquiry. The research design adopted was survey research, A purposive technique was utilized. A sample size of 412 respondents from selected manufacturing companies in Oyo State, Nigeria, formed the study's subject group. Data collection was executed through a questionnaire, with a rigorous validation process. The findings of this study indicate a significant positive effect of knowledge acquisition on organizational performance. Enhanced knowledge acquisition is shown to empower organizations to achieve sustainability by developing new competencies that cascade across different organizational levels. This underscores the vital role of knowledge acquisition in positively influencing organizational performance. It was recommended that organizations invest in structured knowledge acquisition processes, mentorship programs, and knowledge management systems. Fostering a culture of continuous learning and knowledge sharing should also be a top priority, as these measures are poised to yield substantial enhancements in overall organizational performance and long-term sustainability.
Crossing the threshold of material and symbolic entry to school represents the possibility of suspending social inequality

This paper presents a theoretical research into the role of school in the modern western society of the 21st century characterized by social inequality.It takes as a central reference of theoretical analysis the contributions of some contemporary educators of relevance such as Philippe Meirieu, Jan Masschelein, Maarten Simons and Gert Biesta.The conceptual categories selected are those linked to the theory of school culture, namely: material school culture in its space-time dimension, school culture symbolic, teaching, learning and educational research.In this sense, a conceptual review of the role of teachers (from their teaching and research) in this unequal social structure is realized in terms of the possibility that the school will again be the space-time recovery of the right to education as a public and national good.It is understood that school can restore its democratizing state function if it manages to restore free time as the one necessary for people to succeed in free, participative and cooperative education.
A Tracer Study of the 2019 Graduates of Bachelor of Science in Industrial Technology

The success of any school in achieving its basic purposes is determined by the adequacy and quality, and relevance of the educational programs it provides. The objective of this study was to determine the status of employment of the respondents; the length of time in looking for a job; their reason/s for the delay of employment or unemployment; the factors that facilitated in getting a job; and the level of their assessment on the quality and relevance of the education they obtained at ISU Ilagan Campus. Most of the traced BS in Industrial Technology graduates batch 2019 started and completed their schooling within the prescribed period to finish the degree. However, some of them may have started out late or lagged behind their studies as indicated by the presence of significant number of respondents within the age range over the prescribed period of their course. Most of them were female and are still single. Most of them were took professional subjects for education and some of them were already LET passers.
THE IMPACT OF ARTIFICIAL INTELLIGENCE IN DECISION MAKING: A COMPREHENSIVE REVIEW

Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize decision making across various domains. This research article explores the impact of AI in decision making and its implications for individuals, organizations, and society. The article begins by providing an overview of AI and its key components, such as machine learning and natural language processing. It then discusses the role of AI in enhancing decision-making processes by automating tasks, augmenting human capabilities, and providing data-driven insights. The article highlights the benefits of AI in improving decision accuracy, efficiency, and scalability, while also acknowledging the challenges and risks associated with its implementation. These challenges include ethical considerations, biases in AI algorithms, and potential job displacement. The article further explores the importance of transparency, accountability, and interpretability in AI decision-making systems. Additionally, it discusses the role of human-AI collaboration and the need for interdisciplinary approaches to ensure the responsible and ethical deployment of AI in decision making. Drawing on case studies and empirical research, the article provides concrete examples of how AI is transforming decision making in various fields, such as finance, healthcare, and transportation. Finally, the article concludes by discussing future directions and recommendations for policymakers, organizations, and individuals to harness the full potential of AI in decision making while addressing its ethical, social, and economic implications. KEYWORDS: Artificial Intelligence, Decision Making, Machine Learning, Automation, Augmentation, Ethical Considerations, Bias, Transparency, Human-AI Collaboration, Responsible AI.
Meeting Summarization: A Survey

Abstract: In an era characterized by an incessant influx of information, the demand for efficient knowledge extraction tools has become paramount. This research introduces a Meeting Sum- marizer, a cutting-edge system that amalgamates speech recog- nition and natural language processing (NLP) to autonomously distill salient information from recorded meetings. The primary objective of this research is to alleviate the cumbersome process of manual meeting summarization by harnessing the capabilities of advanced machine learning techniques tailored to audio data. The Meeting Summarizer leverages state-of-theart speech recognition algorithms to transcribe spoken content into textual form, laying the foundation for subsequent NLPbased analysis. Through the integration of deep learning methodologies, the system discerns key discussions, identifies critical components, and extracts context from meeting transcripts. The synergy of speech recognition and NLP empowers the system to comprehend linguistic nuances, enabling it to adapt to diverse meeting contexts.
Yoga Guide: Yoga Pose Estimation Using Machine Learning

Abstract: A deep learning model is proposed which uses convolutional neural networks/LR algorithm for yoga pose identification along with a human joints localization model followed by a process for identification of errors in the pose for developing the system. After obtaining all the information about the pose of the user the system gives feedback to improve or correct the posture of the user. we propose an improved algorithm to calculate scores that can be applied to all poses. Our application is evaluated on different Yoga poses under different scenes, and its robustness is guaranteed.
The Long-Run Effect of E-commerce on Economic Growth in Saudi Arabia

This study aims to examine the long-term impact of e-commerce on economic growth in Saudi Arabia using the Cointegration model. The study employs a theoretical and empirical approach by reviewing previous studies to identify some key variables which are the merchandise trade ratio, the number of mobile phone subscriptions, the percentage of internet users and mobile phone subscribers in the population, and the ratio of communication and computer service imports, using time series data from 1992 to 2022 collected from Saudi Central Bank and the World Bank's, and employing Cointegration model for analysis. Results of the study indicate a positive and statistically significant impact of the merchandise trade ratio and the number of mobile phone subscriptions on GDP in the long run. However, the study finds that a high statistical correlation between GDP and the percentage of internet users and mobile phone subscribers in the population does not positively impact economic growth. Additionally, the study found that the ratio of communication and computer service imports no longer affects GDP and economic growth in the long run. These findings first suggest that e-commerce can help diversify the national economy and increase economic growth rates. Second, highlight the need for technology and its use to be directed toward productive purposes. The government and regulators are encouraged to increase investment in e-commerce and facilitate the growth procedures for e-commerce companies.
Pengaruh Sistem Informasi Akuntansi Manajemen terhadap Kinerja Manajerial di Moderasi oleh Ketidakpastian Lingkungan pada PT Perkebunan Nusantara IV (Persero) Medan

The aim of this research is to test and analyze the management accounting information system for managerial performance moderated by environmental uncertainty at PT Perkebunan Nusantara IV (Persero) Medan directly and indirectly. The approach used in this research is a causal approach. The population in this study was all employees of PT Perkebunan Nusantara IV (Persero) Medan. The sample in this study used the Slovin formula so that there were 80 employees of PT Perkebunan Nusantara IV (Persero) Medan. Data collection techniques in this research used documentation, observation and questionnaire techniques. The data analysis technique in this research uses a quantitative approach using statistical analysis using Auter Model Analysis, Inner Model Analysis and Hypothesis Testing. Data processing in this research uses the PLS (Partial Least Square) software program. The results of this research prove that the accounting information system directly influences managerial performance. Indirectly, environmental uncertainty cannot moderate the influence of management accounting information systems on managerial performance
Produktivitas Karyawan Ditinjau dari Lingkungan, Kepemimpinan dan Disiplin Karyawan Konveksi Nik’s Collection Surakarta

The aim of this research is to determine the influence of environmental influences, leadership and employee discipline on the productivity of Nik's Collection Surakarta convection employees. The author uses a descriptive quantitative approach. This research will be conducted for 3 months, from October 2023 to December 2023. The population in this research is 58 employees of Konveksi NIK'S Collection Surakarta. The population was less than 100, so the researchers took all employees of Konveksi NIK'S Collection Surakarta, namely 58 employees. The sampling technique in this research used a census. Researchers used multiple linear regression analysis. The results of this research show that the environment, leadership and employee discipline simultaneously have a significant influence on the productivity of Nik's Collection Surakarta convection employees. Based on the t test, it was found that environmental results, leadership and employee discipline had a positive and significant influence on the productivity of Nik's Collection Surakarta convection employees.
Analisis Sistem Informasi Pendistribusian Alat Tulis Kantor di Fakultas Pendidikan Ilmu Pengetahuan Sosial Universitas Pendidikan Indonesia

Office equipment, often referred to as Office Stationery (ATK), is a necessity that must be fulfilled and carefully considered in its use in an institution, such as in the Department of Computer Science. Currently, the Department of Computer Science still utilizes Microsoft Excel and handwritten notes in processing ATK data, ranging from the registration of incoming items to the distribution to professors and staff. Therefore, the Department of Computer Science requires a system that can support the process of distributing ATK data. The developed system is expected to assist in generating ATK distribution reports. The system development method chosen in this research is the Waterfall system development model. The system design in this research uses the Unified Modeling Language (UML). The program development process (coding) utilizes the PHP programming language with HTML, and MySQL for database creation. The testing approach in this research employs Black Box testing with the Equivalence Partitioning (EP) method. The results of the conducted testing indicate that all system functions operate according to their intended purposes.
Trustworthy Satellite Earth Observations for Science and Society

Enhancing confidence in satellite observations of terrestrial properties like land surface temperature and soil moisture requires advances in validation and data quality assessment practices.
Workshop Manajemen Organisasi dan Penyusunan Modul Dolanan Anak Bagi Forum Taman Baca Masyarakat (FTBM) di Kabupaten Jepara

This community service aims to enhance knowledge and expertise in organizational management and children's play module preparation for the Forum Taman Baca Masyarakat (FTBM) in Jepara Regency. The service used the Participatory Action Research (PAR) method, with the participants being representatives of TBM managers who are members of FTBM. A questionnaire was used as the instrument for evaluating the activity, and the results of which were analyzed descriptively. The service results indicate a significant increase in workshop participants' understanding. A total of 9 participants (30%) who were initially in the low understanding category succeeded in increasing to the high category, including 18 participants (60%). The workshop activity on preparing children's play modules also made a positive contribution to the participants, particularly in terms of module preparation. There was a significant increase in understanding, where 10 participants (33.33%) who were initially in the low understanding category succeeded in increasing to the high category, involving 20 participants (66.67%). This activity was successful in achieving positive results and supporting the development of participants’ skills and understanding of organizational management and module preparation.
Quantitative Skills Training for SNBT Preparation at SMA Negeri 2 Parepare South Sulawesi

This service activity aims to improve students' quantitative abilities, especially in the SNBT test. The method of implementing this service used training, test simulations and discussions, as well as tips and strategies for solving quantitative ability questions. Assessment tools used during the activity included a pretest, posttest, and questionnaire. The analytical technique to assess the activity's success involved comparing the outcomes of the pre-test and post-test administered. The Results showed that there was an average increase in the scores of the participants' Quantitative Skills test. Overall, the average percentage increase in the participants' Quantitative Skills test scores was 13% from the pre-test scores. It can be concluded that the quantitative skills training provided positively enhanced the student's knowledge and skills, particularly in solving scholastic problems related to the Quantitative Skills test for the upcoming SNBT. Based on the survey, 53.1% of participants were highly satisfied with the conducted training activities and agree that such activities should be continued.
Edukasi Literasi Digital : Pendampingan Transformasi Digital bagi Generasi Muda di Desa Nepo Kabupaten Polewali Mandar

This service activity aims to increase the understanding of young people in Nepo village regarding digital literacy and digital transformation assistance. The method of implementing this service uses socialization and training with a participatory approach. The evaluation instrument for this activity uses a questionnaire and is analyzed descriptively. The results of this service show that there has been a significant increase in participants' understanding of the concepts of digital literacy, digital transformation and social media. Digital literacy understanding increased from 50% to 79%, while benefits of digital literacy understanding rose from 50% to 87%. Participants also showed an increase in understanding the era of digital transformation (from 38% to 79%) and the impact of social media (from 43% to 93%). They also understand ethics and cyber security better, with significant improvements. The digital literacy education program in Nepo village has successfully achieved its goals, empowering the younger generation in digital literacy, digital transformation and social media ethics.
Hebrew nonverbal sentences wear reconstruction on their sleeve

In this paper, I discuss a particle in Hebrew which has been termed Pron by Doron (1983). While its surface form is that of a pronoun, its distribution resembles that of a copula – it appears between the subject and the predicate in nonverbal present-tensed sentences. However, its distribution is limited in unexpected ways for a copula, which gained it some attention in the literature. Contra the standard line of analysis, I argue that Pron is in fact a resumptive pronoun left by the subject as it raises to a higher position. I show that this analysis ties together many of Pron’s prima facie-surprising distribution patterns.
Contextual Complexities and Second Language Acquisition in Cameroon

The complexity of the linguistic environment in Cameroon raises the question of context and its role in the acquisition of another language. While examining progress in English language learning in Cameroon, this chapter draws a dichotomy between learners in such contexts considered rural&nbsp;and those regarded as urban or cosmopolitan&nbsp;with its inherent complexities. Using the irregular verb as a yardstick, an evaluation of the acquisition of irregular verb patterns by 80 final year primary school learners from two contexts in the Northwest Region of Cameroon serves as a guide. Oral and written tests are used to check learners’ acquisition of verb inflectional categories, verb tenses and general written and oral productions within the mixed method design. The findings reveal similar trends in the acquisition of inflectional categories and verb tenses by learners in both contexts and divergent trends in general oral and written productions. For instance, learners in both contexts exhibit similar challenges using the Vs, Ved and Ven inflections with a very low average frequency of 26% and with a high frequency of 67.2% for the Ving and Vo inflections. Though learners in the urban centres have higher degrees of efficiency in oral productions, their counterparts in the rural areas exhibit more challenges in verbal as against written productions. The chapter concludes that second language acquisition is not a consequence of a unilateral context but a result of a plethora of other factors both within and without the learning environment with evident pedagogic implications for stakeholders in the second language acquisition industry. While context is noted to have impending implications in language learning as highlighted in the chapter, the finality of SLA is also dependent on other linguistic factors like innate capabilities inherent in all learners.
Perancangan Sistem Informasi Akuntansi Penggajian Pegawai Instansi Pemerintah di BKPSDM Kab. Cianjur

The process of employee payroll system at BKPSDM Kab. Cianjur Agency already uses a computer but it is not optimal because it still uses Microsoft Excel in data collection and calculation salaries. The purpose of this research is to create a computerized payroll information system that make it easier for agency in the payroll process for employees and minimize the problems that often occur. This information system designed using PHP Myadmin programming language and MySQL as a database. The approach to developing this system uses the waterfall method and the tools involved include Flowmap, Context Diagram, Data Flow Diagrams (DFD), and Entity Relationship Diagrams (ERD). The results of this employee payroll application can make it easier to collect employee data and calculation of employee salaries accurately and can streamline time in making reports so as to reduce errors in the employee payroll system.