Reviewerly/exHarmony huggingface dataset:
Improving k-Nearest Neighbors Model using SMOTE with Bagging Ensemble

Water is a primary need and the quality of drinking water greatly affects human life. The purpose of this research is to classify the quality or feasibility of drinking water using machine learning. The use of a single k-Nearest Neighbors (k-NN) algorithm often results in low accuracy due to many factors, so in this study SMOTE (Synthetic Minority Oversampling Technique) is used to handle imbalanced data and k-NN is used as an estimator in the Bagging technique for classify. This research will compare the performance of the model in classifying when only using the k-NN algorithm, k-NN with SMOTE and SMOTE integrated with k-NN as a Bagging estimator (SMOTE + k-NN as Bagging estimator) and to evaluate the performance results, researcher use accuracy, precision, recall, f1-score and ROC-AVC. In this research of classifying the quality or feasibility of drinking water, the single k-NN algorithm only produces an average AVC of 0.75 while the SMOTE <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$+\mathrm{k}-\text{NN}$</tex> as Bagging estimator produces an average AVC of 0.958. In this case study, the our proposed model is able to increase the AVC by 20.8% so it can be said that the out proposed model is able to improve the performance of the model in distinguishing classes on the target.
Leadership and information - communication competencies as the leading military professional competence components of a modern officer

Leadership and information - communication competencies as the leading military professional competence components of a modern officer
Bias Reduction News Recommendation System

News recommender systems (NRS) are crucial for helping users navigate the vast amount of content available online. However, traditional NRS often suffer from biases that lead to a narrow and unfair distribution of exposure across news items. In this paper, we propose a novel approach, the Contextual-Dual Bias Reduction Recommendation System (C-DBRRS), which leverages Long Short-Term Memory (LSTM) networks optimized with a multi-objective function to balance accuracy and diversity. We conducted experiments on two real-world news recommendation datasets and the results indicate that our approach outperforms the baseline methods, and achieves higher accuracy while promoting a fair and balanced distribution of recommendations. This work contributes to the development of a fair and responsible recommendation system.
The Russian Avant-Garde and the System of Archetypes. Demonstration Experience

The article is devoted to a large-scale exhibition at the Primorsky State Art Gallery in Vladivostok, prepared by the State Tretyakov Gallery (curator Irina Kochergina), as well as the album-catalog of this exhibition. Consisting of more than fifty first-class works, mainly from the Tretyakov Gallery collection, it is interesting because for the first time in exhibition practice it correlates the figures of Russian avant-garde artists with the system of psychological archetypes developed by Carol Pearson. While some points are controversial, this experiment is very indicative. Firstly, it responds to the recent tendency to view the avant-garde through the prism of philosophical and natural-scientific concepts of the time. Secondly, an appeal to one of the popular theories allows us to solve another educational task — to involve the viewer in a dialogue with sophisticated art, which despite the catchiness of the Russian avant-garde as a national brand still remains alien and obscure to many people.
The New Business Model for the State Scientific and Technical Library of Ukraine Enhancing New Digital Tools for Researchers

Objective. The research activities play a significant role in the transformation of libraries, helping them to develop new business models that better suit the changing needs of their users and new services that are responsive to those needs. The new challenges introduced by the Law of Ukraine "On Scientific and Scientific-Technical Activities" 2016 aim to promote a more innovative and competitive scientific and technical ecosystem in Ukraine, and to encourage greater collaboration between researchers, businesses, and the government as well the EU approach to the research data. In this regard, the State Scientific and Technical Library of Ukraine (SSTL of Ukraine) has to redirect its main activities and begin using fundamentally new means and methods of research and science management. This research aims to study the transformation of the SSTL of Ukraine under the influence of changes in scientific data management and the usage of scientific information. These factors play a vital role in the transformation of SSTL of Ukraine by providing a foundation for understanding user needs, developing new models and services, enhancing information literacy, promoting collaboration, and informing policy. By incorporating these insights, SSTL of Ukraine remains relevant in an ever-evolving digital landscape. Methods. The study employed a mixed-methods approach, combining qualitative and quantitative data collection techniques. A comprehensive review of existing literature on digital tools in research libraries was conducted, followed by surveys and interviews with library stakeholders, researchers, and patrons. The data obtained were analyzed using statistical methods and thematic analysis to derive meaningful insights. Results. The new tools facilitate interdisciplinary collaboration, enabling researchers to connect with peers, exchange ideas, and engage in collaborative projects. Such networking opportunities have proven invaluable in promoting innovation and fostering a vibrant research community. Conclusions. The successful implementation of the new business model for the State Scientific and Technical Library of Ukraine, focusing on enhancing research through the utilization of new digital tools, has yielded significant benefits. Researchers now enjoy improved accessibility to research materials, enhanced collaboration opportunities, and advanced data analysis capabilities. These outcomes have positively impacted the research ecosystem in Ukraine by facilitating knowledge dissemination, fostering interdisciplinary collaborations, and accelerating the pace of scientific discoveries. The results of this study emphasize the importance of embracing digital transformation in research libraries and provide valuable insights for other institutions seeking to enhance their support for researchers through the integration of digital tools.
Project Based Learning, Discovery Learning and Sports Models on Critical Thinking Ability Children Age 5-6 Years: Study Literature

The project-based learning (PBL) model is a learning approach that emphasizes working on certain projects or tasks as a way to understand and apply knowledge. Discovery Learning is a learning approach that emphasizes student exploration and experimentation to build their own understanding. Sports in children aged 5-6 years not only provide physical benefits, but also contribute to the development of various cognitive skills, including critical thinking abilities. This type of research uses literature study. The database in this study with article criteria comes from Sinta. In this study, 3 articles were used as references for researchers to carry out reviews. Characteristics of the 3 articles, 1). Publications from the last 9 years, 2). The articles reviewed are related to the focus of this research. Then the procedure for searching for articles needed in this research is based on Google web: 1). Google scholar and 2). Google Chrome. The analysis of this research focuses on project based learning, discovery learning and sports models on the critical thinking abilities of children aged 5-6 years, project based learning, discovery learning. It was concluded that the project based learning, discovery learning and sports models affected the critical thinking abilities of children aged 5-6 years.
Advances in the Automatic Lemmatization of Old English: Class IV Strong Verbs (L-Y)

The morphological features of an inflectional language like Old English (OE), which also presents generalized spelling inconsistencies, limit the use of lemmatizing and tagging tools that can be applied to natural languages. Consequently, the development of Natural Language Processing (NLP) models, which crucially depend on lemmatized corpora, is slowed down. Against this background, this article develops a lemmatizer within the framework of Morphological Generation that allows for the type-based automatic lemmatization of OE class IV strong verbs (L–Y). The lemmatizer incorporates a set of algorithms to account for features of inflectional, derivational, morphophonological and diatopic variation. The generated forms are automatically compared with Taylor et al. (2003) and Healey et al. (2004) to confirm their attestation and are assigned a lemma. Overall, the research proves successful in setting up form-lemma associations, while highlighting areas of ambiguity and mismatches. The main conclusion of the article is that taking the route of automatic lemmatization with this methodological framework will contribute to the field of OE lexicography by both lemmatizing attested inflectional forms and by identifying areas for manual revision.
Accents in Speech Recognition through the Lens of a World Englishes Evaluation Set

Automatic Speech Recognition (ASR) systems generalize poorly on accented speech, creating bias issues for users and providers. The phonetic and linguistic variability of accents present challenges for ASR systems in both data collection and modeling strategies. We present two promising approaches to accented speech recognition— custom vocabulary and multilingual modeling— and highlight key challenges in the space. Among these, lack of a standard benchmark makes research and comparison difficult. We address this with a novel corpus of accented speech: Earnings-22, A 125 file, 119 hour corpus of English-language earnings calls gathered from global companies. We compare commercial models showing variation in performance when taking country of origin into consideration and demonstrate targeted improvements using the methods we introduce.
Most Sought-After Professional Competencies in Leading Research Teams of the Ural Federal District

At the current stage of socio-economic development, one of the key tasks is to ensure that education quality matches labour market expectations, and the industry of science and technology is no exception. Nowadays, there is no systemic evaluation and due regard of research staffing needs and competencies required in this field. Hence, the gap between the current level of human capital development and its necessary level is ever increasing. This study focuses on leading research teams working in the area of advanced manufacturing technologies. The main research methods are the following: publication activity analysis for organizations in the Ural Federal District (henceforth UFD) in the field of advanced manufacturing, bibliometric mapping for identifying research teams, a series of in-depth interviews with research team leaders, job postings analysis using HeadHunter website database. Key findings: 1) we developed a methodology to identify leading research teams in the UFD that possess unique research and technology competencies in the field of advances manufacturing technologies; such teams and their leaders were identified; 2) in-depth interviews with research team leaders allowed to determine the most sought-after competencies for young researchers; 3) we compared the results of qualitative analysis (the in-depth interviews) with the final list of required competencies obtained in the process of analyzing job postings in the area of advanced technology in the UFD using the HeadHunter website. Thus, we identified the pools of the most sought-after competencies for the research and manufacturing sectors in the field of advanced manufacturing technologies. Identifying the most sought-after and in-demand competencies in the UFD leading research teams can inform decision-making on updating university study programmes to ensure that student training matches the needs of the industry of science and technology in the UFD.
Moving On from the NAND Gate

This chapter will discuss how engineers moved on from discovering the first NAND gate. It will introduce you to the SR latch and show how this led to the creation of the memory in the modern-day computers.
Online Student Satisfaction in Following Distance Learning Using the Microsoft Teams Application

The purpose of this research is to find out whether students are able to take part in distance learning properly according to their expectations or not so that they feel satisfaction in learning online using Microsoft Teams. This type of research is descriptive and quantitative. The total population is 135 Bintang Pelajar class 12 high school students who take part in assistance to enter public universities. The sampling method was convenience sampling, with a total sample size of 131 respondents. Data collection techniques include surveys and filling out questionnaires. Data analysis was carried out by presenting quantitative data in the form of numbers and graphics and then describing the conditions of the subjects. The result is that 54.20% of respondents are very satisfied and can follow the lesson very well; 41.98% are satisfied and can follow well; and 3.82% are dissatisfied and are unable to follow because it is too fast or unclear.
PERAN CONCEPT ART DALAM PEMBUATAN PROYEK FILM ANIMASI BATIK GIRL - FICUSIA

Currently, the number of drug users is increasing every year. This problem is not only faced by Indonesian people, but also almost all countries. From the statement of the National Narcotics Agency (BNN), there were 851 cases of drug abuse involving a total of 1350 suspects in 2022. And the data increased from the previous year. Many people already know that drugs are prohibited items that are very dangerous because they not only harm the users themselves, but also the people around them because they can cause symptoms such as dependence, hallucinations and convulsions. It is therefore very important to remind relatives or friends to avoid drugs because if they use drugs, they have to deal with the law and can be imprisoned for a long time. Based on this problem, Yayasan Cinderella Indonesia worked with the police to give jobs to female prisoners where the proceeds would be donated to people in need. The foundation then came up with the idea to create an animation project to inform the public about the dangers of drugs. And in 2021, Cinderella Foundation collaborated with Politeknik Negeri Batam in creating an animated film project entitled Ficusia.
ENHANCING PUNJABI-HINDI BRAILLE NEURAL MACHINE TRANSLATION VIA SYNTACTIC ANALYSIS

This paper introduces a neural machine translation system designed for Punjabi to Bharati Braille. In response to the lack of an on-the-fly translation tool from Punjabi (Gurmukhi) to Bharati Braille, we crafted a system trained on a 6-lac parallel corpus. The training process included augmenting Punjabi text by translating name entities into Hindi. Comparative analysis against the baseline NMT system demonstrated a notable enhancement, as the syntax augmented NMT system achieved a score of 36.66, significantly outperforming the baseline's 26.34.
The Main Tendencies of Discourse Representation of Immigrant Workers: A Critical Discourse Analysis in Malaysian Online News Portals

Being one of the most industrialised nations in Southeast Asia, Malaysia has been receiving many immigrant workers from neighbouring countries to provide labour for economic expansion. The government was heavily criticised following its announcement on the intake of 1.5 million Bangladeshi workers into the country. The local media have profoundly reported on the issues of immigrant workers in Malaysia. This study focuses on the main tendencies of discourse representation of immigrant workers in Malaysia, specifically in The Star and Malaysiakini online news portals. A total of 20 news articles, 10 from each news portal concerning the above-mentioned issues are analysed according to Fairclough’s (1995) Discourse Representation in Media Discourse framework. Each phrase undergoes a five-level parameter analysis to investigate the language and the strategies employed. As a whole, both online news portals maintained the ideational meaning of the primary discourse in their news reports.
PEMBUATAN VIDEO ANIMASI “GREEN TOURISM” SEBAGAI MEDIA EDUKASI DALAM UPAYA MENGURANGI PERMASALAHAN SAMPAH PLASTIK

Places like Bali, Tower of Pisa, The Eiffel Tower and such are called Tourist Attractions. The reason is that because of the functionality of the system is to serves as a recreational for tourists and best spots during vacations. However plastic waste and litterings have been a major ongoing issue across the world, not only it’s ruining the environment but it also reduces the lifespan of the surrounding ecosystem of the tourist attraction themselves. Indonesia has been the world’s number 3 worst plastic processing country in the world and the places that usually a go to spot for tourists have been contaminated by plastics, either by the locals or the tourists that currently visiting the place. According to Nat Geo’s report that in 2050, there will be at least 12 trillion plastic waste if the accumulation of plastic wastes is not prevented. Educating people to increase and spread awareness about how bad the plastic waste problem are now and how we as an individual reduces the upcoming plastic waste disaster is important, therefore an animation video that acts as an awareness media is created in hope to delivers the messages and prevent people from littering on a tourist attractions.
Perspektif Akuntansi Syariah Atas Sistem Informasi Akuntansi Penggajian Karyawan Di Cv Gunung Dono Putra Kemantren LamonganPerspektif Akuntansi Syariah Atas Sistem Informasi Akuntansi Penggajian Karyawan Di Cv Gunung Dono Putra Kemantren Lamongan

The purpose of this study was to determine the sharia accounting perspective on the employee payroll accounting information system at CV Gunung Dono Putra Kemantren Lamongan. This study used a descriptive qualitative method using triangulation of data analysis which combines interviews, observation, and documentation. The results of this study are that the payroll accounting information system at CV Gunung Dono Putra has been running well by implementing all related functions, a network of procedures, documents and accounting records. The four components have also been implemented in accordance with sharia accounting principles in the form of responsibility, fairness, truth, piety, and honesty so as to achieve corporate prosperity.
Accessibility of Virtual Museum Spaces in the 21st Century in Turkey

Museums, which are the embodiment of art, exhibition, culture, and science, have started to offer virtual space experiences as well as traditional physical space experiences in recent years. In addition to the development of technology, the pandemic, which started in 2019 and affected the whole world, has also been effective in accelerating the transformation of museums from physical space to virtual space. The increasing use of virtual museums directly concerns different user groups in terms of accessibility. In a physical museum experience, solutions that appeal to different types of users are generally produced. Thanks to these solutions, an individual with any disability can be included in the space with all senses such as sight, touch, smell, and hearing during a museum visit, while the lack of inclusion of all senses in the virtual space experience causes the experience to be more limited. This study discusses this limitation in terms of accessibility. How can the virtual space experience be more accessible for different types of users? Can different solutions be offered to all user groups for a better understanding of the space and the art product? These questions constitute the research questions of this study. In this context, this study aims to examine how accessible virtual museums are. The study has conducted this inquiry through 59 virtual museums in Turkey. As a method, virtual museums were classified and tabulated in terms of their accessibility levels in line with their characteristics. It was concluded that there are deficiencies in the experience of different types of users and various suggestions were made in terms of virtual accessibility.
User Experience Design and Prototypes of Mobile-based Learning Media for Children with Special Needs in the Dyslexia Category

Education is the right of all living things regardless of social status, gender, or physical condition. Persons with disabilities have the same rights and obligations as citizens. Based on the 1945 Constitution Article 31 Paragraph 1 and Law Number 20 of 2003 concerning the National Education System, it can be concluded that the state provides full guarantees for children with special needs to obtain quality education services. Children with special needs are divided into several categories, in this study the research team will focus on solving learning problems for children with disabilities in the dyslexia category. Dyslexia also known as reading disorder, is a disorder characterized by reading below the expected level for one's age. This study aims to find learning solutions by developing user experience designs and prototypes of mobile-based learning media for children with special needs in the dyslexia category. This research applies design thinking methodology to understand users, challenge assumptions, redefine problems, and create innovative solutions to prototype and test.
Implementation of Recurrent Neural Network (RNN) for Question Similarity Identification in Indonesian Language

In a question-and-answer forum, the identification of question similarity is used to determine how similar two questions are. This procedure makes sure that user-submitted questions are compared to the questions in a database for matches to improve system performance on the online Q&amp;A platform. Currently, question similarity is mostly done in foreign languages. The purpose of this research is to identify question similarities and evaluate the effectiveness of the methods used in Indonesian language questions. The data used is a public dataset with labeled pairs of questions as 0 and 1 where label 0 for different pairs of questions and label 1 for the same pairs of questions. The method used is a Recurrent Neural Network (RNN) with the Manhattan Distance approach to calculate the similarity distance between two questions. The question pairs are taken as two inputs with a reference label to identify the similarity distance between the two question inputs. We evaluated the model using three different optimizers namely RMSprop, Adam, and Adagrad. The best results were obtained using the Adam optimizer with 80:20 ratio split-data and overall accuracy is 76%, precision is 74%, recall is 98.8%, and F1-score is 85.1%.