Reviewerly/exHarmony huggingface dataset:
Natural Language Processing in Teacher Training : a systematic review

In the previous decade, there has been a growing interest within the research community to apply artificial intelligence (AI), particularly natural language processing (NLP) tech-nology, across various domains such as law, medicine, and finance. More recently, the fo-cus has shifted towards exploring the potential of NLP technology in education, specifi-cally in teacher training. Thus, it becomes crucial to conduct a systematic literature review to comprehensively examine the literature on the use of NLP technology in teacher train-ing. This study concentrates on the applications and use cases of NLP technology in higher education institutions and educational research institutions. Our analysis suggests that significant NLP applications in education include Language Learning, intelligent analysis, assistive technology, automatic content analysis, and speech emotion analysis. Further examination reveals that NLP technology can be effectively utilized to improve teachers professional abilities, such as helping language teachers improve their accents, ultimately contributing to the delivery of high-quality education. Finally, this paper summarizes the critical lessons learned from the application of NLP technology in teacher training that can guide future research endeavors in this rapidly evolving field.
EVOLUTION OF SOUND: PRACTICES OF PREPARED PIANO IN MUSIC OF THE 20TH – EARLY 21ST CENTURIES

The article is devoted to the reception of piano preparation, which became one of the significant innovations in the context of experimental trends in music of the 20th century. The historical context of the emergence and evolution of this technique is studied through the analysis of various approaches and methods of its implementation in composition practices. This is, in particular, playing on the strings of a grand piano as a harbinger of the emergence of this technique (Henry Cowell), giving it the function of an ensemble of percussion instruments by changing its timbre colouring (John Cage), involving all the components of the body of the instrument (George Crumb), overcoming the evenly tempered sound scale in the context of sonoristic technique (Karlheinz Stockhausen), and a combination of prepared piano technique with experiments in the field of electronic music (Pierre Schaeffer). Each of the mentioned composers made a unique contribution to the development of the prepared piano technique and expanded the palette of its possibilities. In the studies devoted to the prepared piano, a classification of performing techniques has been carried out, in particular, Viktor Muzhchil talks about manual and non-manual ways of playing within the framework of a multiparadigmatic method of sound production. In turn, Oleksandr Perepelitsa distinguishes between professional and non-professional means within the framework of a non-manual way of playing. According to the method of implementing the piano preparation technique within a specific work, Luk Vaes divides fixed preparation and non-fixed preparation. It was determined that the prepared piano remains relevant even today, inspiring modern musicians to further experiments, because its potential has not yet been exhausted.
Potential outcome and decision theoretic foundations for statistical causality

Abstract In a recent work published in this journal, Philip Dawid has described a graphical causal model based on decision diagrams. This article describes how single-world intervention graphs (SWIGs) relate to these diagrams. In this way, a correspondence is established between Dawid's approach and those based on potential outcomes such as Robins’ finest fully randomized causally interpreted structured tree graphs. In more detail, a reformulation of Dawid s theory is given that is essentially equivalent to his proposal and isomorphic to SWIGs.
Towards Fluid Intake Quantification in Older Adults: An Algorithm for Movement Detection Using Accelerometry and Gyroscope Sensors

Dehydration in older adults leads to numerous adverse outcomes and is associated with cognitive diseases and medical treatments affecting thirst sensitivity. Technological solutions, including wearable sensors in devices like smartwatches, play a crucial role in monitoring physical activity and health. The integration of wearable technology, data processing, and advanced analysis offers a non-intrusive, accurate method for quantifying fluid intake in older adults by analyzing wrist and arm movements. This paper presents an algorithm for detecting liquid intake movements in older adults using signal samples collected from a wearable sensor equipped with accelerometry and gyroscope technology. The algorithm focuses on preprocessing the signals and extracting relevant features related to fluid intake in two different experimental conditions: standing and sitting. The proposed algorithm accurately identifies fluid intake events, including instances with uncontrolled movements. Various validation metrics were used to evaluate the algorithm's performance, including precision, accuracy, sensitivity, and F1-Score. The recorded metrics consistently showed high percentages ranging from 92% to 100%. These results indicate the algorithm's effectiveness in accurately detecting and classifying fluid intake events in older adults.
The Application Dilemmas in the Crime of Refusing to Perform the Obligations of Information Security Management

Aiming at cybercrimes, China has stipulated the crime of refusing to perform the obligations of information security management in the Amendment (IX) to the Criminal Law. However, in judicial practice, the application of this crime is extremely rare, causing a waste of legislative resources. The reason can be attributed to the zombification of legal provisions. This paper focuses on the dilemma of applying this crime in judicial practice. There are two specific dilemmas. The one is the identity of the applicable subject of the crime and the accompanying management obligations are vague. The other is that the boundary Between this crime and the crime of aiding network information crime is unclear, which can be attributed to the similarities in constituent elements. There are three aspects that this paper considers confusing including the identity of knowing, their criminal patterns and the boundaries Between consequential and behavioral offenses. Based on these judicial application dilemmas, this paper urges that the court should consider the details of the cybercrime more carefully in the trial to better apply this crime. Meanwhile, it is unacceptable to directly apply the crime of aiding network information crime as a pocket crime without detailed analysis. The popularization of law should focus on the underlying logic, which means targeting netizens. Therefore, the ultimate goal of eradicating cybercrime can be achieved.
INFORMATION SYSTEM FOR BORROWING AND RETURNING BOOKS AT MANDA ELU PRIVATE HIGH SCHOOL

In the current era of globalization, the world of information is developing very rapidly because it is supported by increasingly sophisticated technological developments. Computers are a tool to support the development of information technology. Therefore, an institution that uses computers to manage its information system will have more value than a system that is processed manually. Current technological developments are very diverse in various aspects of life so that they really help human activities every day. This includes the development of computer technology with various applications used in various scientific disciplines. It is hoped that this technology, which was born thanks to human creativity and innovation, can regenerate creativity and new innovations in various fields that mark the progress of this technology. One area that cannot be separated from the use of technology is education. Hardware and software. Hardware includes one notebook unit with eighth generation Intel Core i3 specifications, 4 Gb RAM, 256 Gb SSD. The software used includes the Windows 10 Pro 64bit operating system, Notepad++, XAMPP, Chrome, Microsoft Word, Microsoft Visio.The results obtained from this research are an information system for borrowing and returning books that can solve the problems faced by Manda Elu Private High School. From the results of the discussion it can be concluded that the information system for borrowing books and returning books can answer the problems faced, including making data searches easier and faster, archiving data does not take up a lot of space because it has been replaced by digital storage, and data reporting can be presented quickly and completely. , attractive and suitable for office needs.&#x0D; Keywords: information system, book lending, website
LITERACY ABILITY USING PICTURE STORYBOOK MEDIA IN INDONESIAN LANGUAGE LEARNING CLASS IV SDN 90 PALEMBANG

The purpose of this study was to determine students' literacy skills using picture story books in Indonesian language learning class IV SDN 90 Palembang. The problem in this study was to determine students' literacy skills using picture story books. The research method used was descriptive qualitative. The data collection technique used observation of the homeroom teacher of class IV.B and students of class IV.B, documentation in the form of photographs during the research, interviews with class IV.B teachers and students of class IV.B and questionnaires which were distributed to 33 students and documentation of students reading picture story books in class. The result of distributing the questionnaire was that the average result of the questionnaire respondents was 98.29%.. On average, the whole can read and understand picture story books fluently, but there are not a few students who are not yet fluent in reading or still spell words, especially 3 male students who are still spelling when reading picture story books. Keyword: literacy skills, picture story book media
The path and time optimal movement plan for steel ball filling robots

In response to the problem of increasing steel ball efficiency during the semi -self -grinding grinding process, it is proposed to apply the 6R robotic arm to the steel ball filling. In order to improve the work efficiency of the robotic arm, find the optimal path, based on D-H parameters theory, and the robotic arm sports model has been established. Based on the cubic quasi-uniform B-Spline, the end of the robotic arm is planned, and the innovative nature introduces the arc-cosine function in the genetic algorithm, and combines the sine and cosine algorithm to propose a sine cosine genetic algorithm (SCGA). The control point of the B -shaped curve is optimized through this algorithm to obtain the optimized trajectory of the terminal motion of the robotic arm. The experimental results show that the SCGA algorithm has increased 69.2%at the convergence speed, and the mechanical arm motion curve has no mutation continuously. The movement efficiency has increased by 67.1%.
Hubungan Usia dan Kadar Prostate Specific Antigen (PSA) dengan Derajat Histopatologi Adenokarsinoma Prostat di RSUD Abdoel Wahab Sjahranie Samarinda

Adenocarcinoma prostate generally occurs in older adults and maybe because of increase in prostate-specific antigen (PSA) levels. It is essential to know the relationship between age and PSA levels with histopathological grade to determine the appropriate management in cases of prostate adenocarcinoma. Objective: To determined the relationship between age and PSA levels with the histopathological grade of prostate adenocarcinoma patients at Abdoel Wahab Sjahranie General Hospital, Samarinda. Methods: The research design was analytic observational with a cross-sectional study approach. The data was taken from the medical records of prostate adenocarcinoma patients at Abdoel Wahab Sjahranie Hospital Samarinda from 2018 until 2022 using the total sampling method. 52 patients met the inclusion criteria. Bivariate analysis using the Chi-square test. Results:This study showed that there was no relationship between age (p=0.433) and PSA levels (p=0.347) with the histopathological grade of prostate adenocarcinoma patients at Abdoel Wahab Sjahranie General Hospital, Samarinda. Conclusion: There was no significant relationship between age and PSA levels with the histopathological grade of prostate adenocarcinoma at Abdoel Wahab Sjahranie Hospital, Samarinda.Keywords: adenocarcinoma prostate, age, histopathological degree, PSA levels
A Research on the Characteristics and Translation Strategies of Popular Science English

Popular Science English (PSE) plays a pivotal role in disseminating knowledge to diverse audiences, bridging the gap between scientific discourse and the general public. Recognizing the intricate linguistic features of PSE, including specialized terminology, scientific narrative styles, and the need for accessibility, this study identifies multifaceted challenges in translation, such as managing cultural nuances, dealing with technical jargon, and maintaining the engaging style. Then, drawing upon thorough analysis and a wealth of examples, this research unveils a range of translation strategies to facilitate the conversion of PSE from source language to target language.
Mosque-mekteb “Nugmania” in the Seoul city and its patron Gabdulkhak Nugman

At present, Tatars can be found anywhere in the world, and each of them has their own story and different reasons for relocation to a new territory. Wherever fate takes Tatar people, the first priority for them is to unite with their compatriots, brothers in faith, organize a Muslim parish. This trait helped the Tatar people to preserve their self-awareness, identity, religion, and native language in different historical periods. The Tatars who relocated to Korea are no exception to these rule. This article, based on the materials of the newspaper Milli Bayrak, provides information about the activities of the mosque-mekteb Nugmaniya of the Seoul city and its philanthropist Gabdulkhak Nugman. Founded in 1926, the mekteb-mosque served as the main educational center for Korean Tatars for a long while. It was administered by the board of the Volga-Ural Turkic Tatars’ Cultural Society of the city of Keijo. Information about its activities can be traced only until 1944. Along with the name Seoul, its Japanese pronunciation Keijo is commonly used in newspaper articles. Today, the study of the history of our countrymen in exile is an important and relevant work in the field of accumulation, study and return of the rich cultural heritage of the Tatars. On the basis of these data, we can get acquainted with the state of the national education of the Korean Tatars, educational programs, the internal procedures of the school and teaching aids. In addition, the author has identified the names of individual teachers, patrons, public figures and has provided insights into the history of creating the school. The publication of new information, different opinions, individual photographs related to the school help to further reveal the essence and specifics of the Tatar people’s development.
MONTE CARLO SIMULATION OF SAMPLES WITH SPECIFIED PROPERTIES FOR TRAINING AND RESEARCH OF NEURAL NETWORKS OF DIRECT PROPAGATION

Today, big data is either unavailable or expensive. But it is necessary to investigate the behavior of neural networks of direct propagation right now. That is why it is necessary to model arrays of data (samples) with specified properties (for example, arrays of correlated quantities of any finite dimension) in order to investigate the behavior of neural networks of direct propagation of any architecture. It is possible to implement the task of forming such samples using the Monte Carlo method.
Speciation of Potentially Toxic Metals from the Mine Impacted soils: A Case Study of Riruwai Mining Area, Kano State, Northern Nigeria

Mining and smelting sectors contribute significantly to global growth on a regional and local scale. However, the operations are causing significant environmental damage, particularly pollution of the soil with potentially toxic metals (PTMs). In this study, the speciation of PTMs (arsenic, cadmium, chromium, mercury, manganese, nickel, lead and zinc) from the mine impacted soils of Riruwai mining area was investigated using a modified Tessier sequential extraction method. The findings of the study revealed that all the PTMs examined are considerably associated with non-residual fractions in all the sampling locations. This indicates that all the PTMs investigated in the study area may be highly mobile in the soils and hence potentially toxic. The concentrations of PTMs in the soil’s geochemical fractions were found to vary with the sampling locations, with active mining sites significantly (p ≤ 0.05) recording the highest value, followed by farmland, while the lowest value was reported at the control site. Therefore, to protect the environment and the health of the local populace, PTMs in the soils of the study area should be regularly monitored and a treatment program should be put in place.
Ensemble of Term Classification (ETC): Classifying Word Occurrences

Automatic text classification in Natural Language Processing (NLP) and the task of predicting classes for textual documents. Traditionally, there have been two predominant approaches: bag-of-words-based models and more recent sequence-based models. While bag-of-words-based models represent documents considering only the occurrence of individual terms, sequence-based models take into account the order of terms within the text, up to an established maximum length. While deep learning-based sequence models have dominated the field, bag-of-words-based approaches continue to produce competitive results. However, existing methods generally require building a representation of the document and then predicting its class, without specifically classifying individual occurrences of terms within the wordset. This research gap serves as motivation for the proposed thesis, which presents a new perspective for automatic text classification. The main objective is to classify each term occurrence within the word bag and then estimate the class of the document, thus eliminating the need for a single hidden representation of the document. As demonstrated by the results obtained, the proposed approach offers greater interpretability and efficiency in text classification, by addressing the limitations of existing methods.
Differential Privacy

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МОДЕЛІ УПРАВЛІНСЬКИХ ІННОВАЦІЙНИХ КОМПЕТЕНЦІЙ: СТРУКТУРНО-ФУНКЦІОНАЛЬНИЙ АНАЛІЗ

The level of professional and psychological readiness of managerial staff is the main factor in the success of various social institutions of society and economic development in general. The purpose of the study is to provide a comprehensive analysis of t
Fusion of CNN and ORB Detection with Graph Convolutional Network for Enhancing Feature Discrimination

A novel image classification scheme called ORB-GCN, which combines convolutional neural networks (CNNs) with features from Oriented and Rotated BRIEF (ORB) detection for a graph convolutional network (GCN). CNN models often encounter challenges in differentiating between similar features, leading to reduced interpretability and lower accuracy. Enhancing feature discrimination in local and global information is the goal of the ORB algorithm fusion for graph construction in GCN. By training CNN and ORB-GCN simultaneously and performing end-to-end classification, the proposed method effectively improves the discriminative ability of features compared to state-of-the-art methods. According to experiments on the MIT Indoor CVPR09 and Intel Image Scene datasets, the proposed ORB-GCN approach has the best accuracy.
Financial leapfrogging and innovative financing in sub-Saharan Africa: gender-lens investments for gender equality

The lack of gender equality has been a systemic issue in the business and investment community throughout its existence, but there is growing evidence that investing in gender equality will produce positive benefits. Conventional financial institutions are path dependent in the way they service their clients, while the newcomers - impact-investing firms - can leapfrog conventional investment practices and act as catalysts for shifting informal norms and customs that negatively affect women as entrepreneurs, employees and suppliers. A term coined in 2009 by investment specialists Jackie Van der Brug and Joy Anderson, gender-lens investing plays a critical role in guiding investments with the objective of women's empowerment and more equitable workplaces and communities. This chapter conveys new stories about how entrepreneurial companies are transforming African businesses through financial leapfrogging, and how investments promoting women-owned businesses will advance local and regional economies. While research on gender-lens investing remains scant, this chapter explores the practical strategies for profitable gender-lens investing, unpacking some of the investment opportunities within the infrastructure sector.
Multi-label Classification Using Vector Generalized Additive Model via Cross-Validation

Multi-label classification is a unique challenge in machine learning designed for two targets with each containing one or multiple classes. This problem can be resolved using several methods, including the classification of the targets individually or simultaneously. However, most models cannot classify the target simultaneously, and this is not expected to happen in the modeling rule. This study was conducted to propose a novel solution in the form of a Vector Generalized Additive Model Using Cross-Validation (VGAMCV) to address these problems. The proposed method leverages the Vector Generalized Additive Model (VGAM), which is a semi-parametric model combining both parametric and non-parametric components as the underlying base model. Cross-validation was also applied to tune the parameters to optimize the performance of the method. Moreover, the methodology of VGAMCV was compared with a tree-based model, Random Forest, commonly used in multi-label classification to evaluate its effectiveness based on fourteen metric scores. The results showed positive outcomes as indicated by 0.703 average accuracy and 0.601 Area Under Curve (AUC) recorded, but these improvements were not statistically significant. Meanwhile, the method offered a viable alternative for multi-label classification tasks, and its introduction served as a contribution to the expanding repertoire of methods available for this purpose.
The Use of Interactive Learning Video Amat Cantik To Enhance Pisa Based Cognitive Learning Outcomes and Science Literacy Skills of Grade VIII Students

The Use of Interactive Learning Video Amat Cantik to Enhance PISA Based Cognitive Learning Outcomes and Science Literacy Skills of Grade VIII Students at UPTD SMPN 5 Camplong. Thesis. Master’s Program in Educational Technology, Faculty of Education, Universitas Dr. Soetomo. Supervisors: (I) Dr. Edy Widayat, M.Sc., (II) Dr. Nuril Huda, M.PdI. This research employs a quantitative approach with a quasi-experimental design, where the research sample is not selected randomly. Data collection is conducted through pre-tests and post-tests. The study is conducted in the experimental class, which receives treatment through the use of Interactive Learning Video Amat Cantik, compared to the control class using conventional learning media (images). The research results are analyzed using a T-paired test with a significance value below 0.05, indicating a difference between the class using the Interactive Learning Video Amat Cantik and the class using conventional media (images).