Reviewerly/exHarmony huggingface dataset:
PERANCANGAN MEDIA PEMBELAJARAN E-MODUL MENGGUNAKAN CANVA PADA MATA PELAJARAN TIK KELAS X DI SMA NEGERI 1 HARAU

The rapid development of the digital world today leads teaching staff to be able to utilize technology to help them boost student interest in learning, one way is by designing learning media. For this reason, the Research and Development method is used which uses the 4D development model, namely Define, Design, Develop, and Disseminate. As well as the product test used is the validity test by experts and the effectiveness test by Informatics teachers and students. Launched in 2013, Canva is an online design and publishing tool with a mission to empower people around the world to create any design and publish anywhere. The test results obtained obtained a value of 97% which was stated to be valid and the results of the effectiveness test on students obtained an average of 87.64 which was declared to have high effectiveness. Based on the test results of the modules developed, it can be concluded that learning media using Canva can be used properly and effectively&#x0D; &#x0D;
Perancangan Sistem Informasi Pembelajaran Online (E-Learning) Berbasis Web

Education is a basic human need that constantly transforms and updates in line with developments in all aspects of life. Changes and improvements in the world of education encompass various components, including teacher competence, educational quality, curriculum, infrastructure, educational management, as well as innovative teaching methods and strategies. The limitation of time in school often becomes the cause of restricted material delivered by teachers. Additionally, when teachers are unable to attend classes, it results in difficulties for students in accessing materials for learning. This system involves various inputs, such as student data, teacher data, class data, subject data, teaching schedule data, lesson material data, assignment data, student registration data, and assignment answer data. The outputs of this system include reports on student data, teacher data, classes, subjects, teaching schedules, lesson materials, assignment grades, and assignment grade data. This e-learning application is developed using the PHP programming language and utilizes the MySQL database in this Final Project.
Klasterisasi Faktor Orang Tua Dalam Memilih Sekolah Taman Kanak-Kanak Menggunakan Algoritma K-Means Clustering (Studi Kasus : TK Aek Litta)

School is a place where students are taught under the guidance of teachers. Schools have an important role in developing children's intellectual capacity because school is a place where children look for information and hone their skills. Choosing a school that suits your child's character is very important. Children need kindergarten education to develop their character and personality and to prepare themselves for entering elementary school. There are many things parents choose to do when choosing a school for their children, including: distance, facilities, curriculum, costs, etc. In this case, to find out the parents' factors in choosing a kindergarten school for their child, the author uses the K-Means algorithm to see the highest factors that make parents choose the Aek litta kindergarten school. K-Means separates data into groups according to how close each group is to a particular cluster. The results of the clustering process with 3 iterations stated that for cluster 1 there were 7 parents who had similar factors in choosing Aek Litta Kindergarten, for cluster 2 there were 3 parents with similar factors.
The Effect of Using Wordwall Game Application Media on Economics Subjects on Student Learning Outcomes at SMA Negeri 2 Sanga Desa

In this study, the problems found in the field are that the teaching and learning process is not optimal because students experience a form of learning difficulties related to characteristic, personality and study habits or students who excel below their ability level (wordwaall game). By applying synectic learning media, it is expected to overcome or at least direct adjustments to the problems faced by students. This study aims to determine the learning interest of grade XI IPS 1 students in economic growth and development at SMA Negeri 2 Sanga Desa. The method used in this study is the experimental method. Based on the results of the study, the results of the student wordwall game test showed that the average student who experienced it was 85.66% in the experimental class. In the synectic model category, the average student activity is 46.66% and in the experimental class learning outcomes students have an average Student activeness is 46.66%. The overall increase that occurred in students after applying wordwall game media synectic learning in the experimental class had an average of 85.66% or in the creteria "Improving / influential". In the results of the hypothesis carried out by researchers using a simple regression formula, this study there is an influence of wordwall games on the interest of high school students in economics subjects at SMA Negeri 2 Sanga Desa on the material of economic growth and development obtained t_(count =) 7.277&gt;t_(table=)1.697 which means Ha is accepted while Ho is rejected. This study has an influence on other factors. Thus, this study shows that there is an influence of wordwall games on high school students' interest in economics subjects at SMA Negeri 2 Sanga Desa.
85 YEARS OLD MARINE GEOLOGIST E. G. MIRLIN

December 16, 2023 to the former chief researcher of the V. I. Vernadsky State Geological Museum of the RAS, Doctor of Geological and Mineralogical Sciences, Evgeniy Mirlin turned 85 years old. The main direction of E. G. Mirlin’s research is the study of lithospheric plates and rifting, mineralogy, geodynamics and minerals, magnetic heterogeneity of the Earth’s crust and the structure of the spreading zones of the Atlantic and Indian Oceans. Dr. Mirlin took part in many expeditions to various regions of the World Ocean, and in 1975, together with colleagues from the United States, took part in an expedition on the ship “Knorr” in the North Atlantic, where the tectonics of the ocean floor was studied using deepsea towed vehicles. He processed experimental data at leading research centers in the USA: the Lamont-Doherty Geological Observatory, the Massachusetts Institute of Technology and the University of California. Awarded orders and medals: in 1982 E. G. Mirlin led the country’s first oceanological expedition to Lake Baikal, where the “Pysis” underwater manned vehicles were used for the first time, as a result of which he was awarded the Order of the Red Banner of Labor. For his great contribution to the geological structure of the subsoil, in 1999 he was awarded the “Excellence in Subsoil Exploration” badge; in 2002 the “Honorary Subsoil Prospector” badge; in 2011 the “Academician A. L. Yanshin” medal; in 2012 – the sign “Mining Glory” of the third degree.
ESSENTIAL ASPECT OF RESEARCH ON THE PROBLEM OF PREPARATION FOR THE PEDAGOGICAL PROFESSION

One of the priority areas of research in the field of education is the issue of professional training of future teachers. The growing interest of researchers in this issue is associated with the emergence of special requirements for the quality of professional education. The requirements are due to the complexity of the teacher's professional activity in modern conditions, the diversity of its context, the change of communication principles, and the ambiguity of its value and semantic foundations. In accordance with this, the article examines the concept of pedagogical training in higher education and its essential aspect, and analyzes several areas of interrelated research.
DIGITALIZATION OF EDUCATION IN KYRGYZSTAN: EXPERIENCE, PROBLEMS, PROSPECTS

The author of the article focuses on the fact that digitalization is becoming an integral part of the life of the whole society today. Through the use of digitalization opportunities, it is possible to improve the activities of the education sector. Today, education, as the engine of all positive principles of a dynamically developing society, plays a leading role in the process of digitalization. In the article, the author tried to show the problems and prospects for the development of the digitalization process in the field of education related to the training of IT specialists for the country's economy, as well as retraining and professional development of teachers. Our universities have a lot to do to make getting additional education and retraining for people of all ages and professions, including regional universities, easier and more accessible in every sense.
APPLICATION OF INFORMATION-COMPUTER TECHNOLOGIES IN TEACHING NATURAL SCIENTIFIC KNOWLEDGE TO SCHOOLCHILDREN

The introduction of information and computer technology into the educational process of educational institutions significantly changes learning, as a result of which the efficiency of assimilation of material that is rather complex in content increases. The article reveals the importance of using information and computer technologies in teaching a cycle of natural science subjects. Attention is paid to the implementation of the competence-based approach in the education and upbringing of schoolchildren. It is shown that interactive forms and teaching methods can be applied at all stages of the lesson, many of which are universal. Information and computer technologies are used in many subjects, including being effective for the study of natural science material. Innovative forms and methods of teaching using computer technologies are briefly described and specific examples of topics of integrated natural science seminars are given
Automated Saliency Prediction in Cinema Studies

Abstract In visual cognition research, saliency refers to the prominence of specific elements in a scene. Moreover, saliency guidance is part of a filmmaker's toolset to build narratives and guide the audience into emotive responses. This article compares two Convolutional Neural Network (CNN) saliency mapping models with viewers’ eye-position mapping to investigate the potentiality of automated saliency mapping in moving image studies by analyzing saliency's role during cinema's transition from one-shot to multiple-shot. Although the exact moment when montage and editing methods appeared cannot be identified with precision, findings suggest one of the reasons for this transition was saliency guidance, hence its preponderance.
Digitization of newspaper for space shaping and ensuring user facility in Dhaka University Library, Bangladesh

Purpose: The digitization and automation functions of newspaper will have an enormous influence on library and information institutions. The purpose of the study is to explore the digitization process of printed newspaper preserved in Dhaka University library. Design/methodology/approach: The observational method based on reassessment of the related literature was used in the study. Authors’ experience as well as their managerial and observational involvement in digitization process of printed newspaper is reflected in the study. Findings: Digital scanners were employed to digitize the newspaper collection, making online accessible scanned editions of printed issues from 1900 to 2022. DocuDex software used to convert papers, and a sizable, sophisticated scanner is being used to scan newspapers into digital form in Dhaka University Library. Every month, on average, 100-200 scholars use the digitized newspapers. The scanner with a camera is used to scan the papers. The scanner operates at a speed of 700 pages per hour (Manually). Apart from scanning newspaper, currently, M.Phil theses, PhD theses, books, and articles are being scanned with this machine. Research limitations/implications: The premeditated approach used in this study can serve the library practitioners to develop a successful transition from traditional systems to a technology based one. Originality/value: The study is one of the first attempts to trace the implications of newspaper automation in any university libraries of Bangladesh.
A Model of Continual and Deep Learning for Aspect Based in Sentiment Analysis

Sentiment Analysis is a useful tool in several social and business contexts. Aspect Sentiment Classification is a subtask in Sentiment Analysis that gives information about features or aspects of people, entities, products, or services present in reviews. Different Deep Learning models have been proposed to solve Aspect Sentiment Classification focus on a specific domain such as restaurant,hotel, or laptop reviews. However, there are few proposals for creating a single model with high performance in multiple domains. The Continual Learning approach with neural networks has been used to solve aspect classification in multiple domains. However, avoid low aspect classification performance in Continual Learning is challenging. As a consequence, potential neural networkweight shifts in the learning process in different domains or datasets.In this paper, a novel Aspect Sentiment Classification approach is proposed. Our approach combines a Transformer Deep Learning technique with a Continual Learning algorithm in different domains. The input layer used is the pre‐trained model Bidirectional Encoder Representations from Transformers. The experiments show the efficacy of our proposal with 78 .
Robotic Technologies in Education and Educational Robotic Applications

Developments in information and communication technologies have triggered a process of social transformation. The spread of technology in every field from past to present has led to emergence of different perspectives on technology. Technological tools are used in almost every field, from medicine to engineering, from education to construction. In this context, robotic technologies have come to the fore as a large developing field that affects human life. When the studies on the use of robotics in education are reviewed, it is seen that developed countries see robotics as a driving force in education and attach great importance to the use of these technologies in terms of improving their education systems. The purpose of the current study designed based on the idea that robotic systems make great contributions to the field of education and will make even more contributions is to investigate robotic technologies and related concepts, the reflections of robotic technologies in the field of education and educational robotic applications. It is thought that such an investigation of the status and reflections of robotic technologies in education and the suggestions presented in this direction will shed light for the studies to be conducted on the use of robotic technologies in education and will provide guidance for researchers.
Language Evolution: An NCT and Conlang Framework

Decades of scholarly work have displaced previously accepted assumptions of the separation of the cognitive and the cultural as two separate entities. Notably, interventions of scholars such as Bouchard, Arbib, and Odling-Smee, have effectively positioned this older and more archaic thinking. In this paper, we posit that the propensity for constructivism in human languages has not been sufficiently studied. To this end, we propose Niche Construction Theory, a framework with which to address this gap. We also juxtapose natlangs (natural languages) with conlangs (constructed languages) in order to clarify the effectiveness of each. To facilitate this discussion, we propose the following points: Conlang origins are well-known, the study of conlangs has tangible evidence of manipulation of language elements, and the study of conlangs can further our understanding of natlangs. We draw on multiple fields to effect this anthropological study. Our literature in this paper has invited our use of Bouchard’s concept of offline base systems (OBS) to respond to questions of the characteristics and mechanics of language vis-à-vis ethnological work. For this, we turn to issues of embodiment, to then extend this to other consequences of and motives for developing conlangs and hence language evolution, such as language disabilities and impairments, a field which is still in its infancy. A focus on language construction using conlangs to test OBS promises another avenue to explore language evolution.
SOCIO-PHILOSOPHICAL PROSPECTS FOR THE DEVELOPMENT OF MODERN EDUCATION

The article is devoted to the peculiarities of socio-philosophical aspects for the development of modern education, when analyzing their characteristic impact on the life of society, and taking into account students' requests for science and the learning process. It is noted that socio-philosophical perspectives are one of the main factors in the design of the progressive sphere of education. At the same time, all teaching methods should form a single value system in order to meet individual needs and help society in solving many practical problems. Innovative approaches to the use of advanced technologies, which give a socio-philosophical direction in the development of education, are also of significant importance. The author emphasizes that the awareness of socio-philosophical views on education will be of great importance in the activities of teachers in order to anticipate the most important problems in a certain scientific discipline with timely reflexive response. Consequently, the teacher must constantly check, evaluate and update educational strategies, striving to optimize them with the socio-cultural, technological and pedagogical spheres of the modern era.
Physical Layer Secret Key Generation with Kalman Filter Detrending

The massive deployment of low-end wireless Internet of things (IoT) devices opens the challenge of finding de-centralized and lightweight alternatives for secret key distribution.A possible solution, coming from the physical layer, is the secret key generation (SKG) from channel state information (CSI) during the channel's coherence time.This work acknowledges the fact that the CSI consists of deterministic (predictable) and stochastic (unpredictable) components, loosely captured through the terms large-scale and small-scale fading, respectively.Hence, keys must be generated using only the random and unpredictable part.To detrend CSI measurements from deterministic components, a simple and lightweight approach based on Kalman filters is proposed and is evaluated using an implementation of the complete SKG protocol (including privacy amplification that is typically missing in many published works).In our study we use a massive multiple input multiple output (mMIMO) orthogonal frequency division multiplexing outdoor measured CSI dataset.The threat model assumes a passive eavesdropper in the vicinity (at 1 meter distance or less) from one of the legitimate nodes and the Kalman filter is parameterized to maximize the achievable key rate.
Improved Chi Square Automatic Interaction Detection on Students Discontinuation to Secondary School

Improved Chi Square Automatic Interaction Detection (CHAID) with bias correction is the developmentof the CHAID method by relying on Tschuprow’s T test calculations with bias correction in the processof forming a classification tree. This study aims to obtain a classification of factors which influencestudents for not continuing their education from junior high school or equivalent to high school orequivalent. The results obtained in the classification tree produce nine classifications. Based on theresults of the classification tree, the classification of students who do not continue their education tohigh school or equivalent is: students with disabilities who do not have access to Information andCommunication Technology (ICTs) (0.89); students who work without disability but do not have accessto ICTs (0.73); and students who do not work without disability but do not have access to in ICTs(0.60). Based on the classification obtained the factors which influence students for not continuingtheir education to high school or equivalent are access to ICTs, employment status, and persons withdisabilities. The classification accuracy of the results uses the Improved-CHAID method with biascorrection with a proportion of 80% training data and 20% testing data, namely 72.3033% on trainingdata and an increase of 73.3300% on testing data.
Gold Price Fluctuation Forecasting Based on Newton and Lagrange Polynomial Interpolation

Gold is a highly valuable commodity and an investment opportunity for many people. However, thereare often significant fluctuations in gold prices that affect investment decisions. Various mathematicalforecasting methods have been developed to anticipate gold price fluctuations. This study uses historicaldaily data of gold prices during January-May 2023. The method used in this study is the Newton andLagrange polynomial interpolation method with several orders to analyze data and forecast gold pricefluctuations. The purpose of this study is to compare the performance and accuracy of the order levels ofthe Newton and Lagrange polynomial interpolation forecasting models. In this study, the test data pointsand orders are selected so that a range is formed that matches the amount of data available. The testorders used in this study include orders 2, 3, 5, 6, and 10. This study found that the 2nd order polynomialinterpolation method is more effective and accurate in forecasting gold price fluctuations compared tothe higher orders tested. This is indicated by the results of the calculation of MAE, RMSE, and MAPEvalues in 2nd order polynomial interpolation which are smaller than in 3rd, 5th, 6th, and 10th orderpolynomial interpolation. This suggests that a polynomial of 2nd order has been able to model andforecast gold price fluctuations well. However, it is important to remember that these conclusions arebased on the data and methods used in this study. Variability in forecasting results can occur dependingon the quality of the data, the time period used, and the interpolation method applied, among others.Therefore, further research and wider testing needs to be conducted to validate these conclusions.
Modeling The Influenced Factors of Remaining Operation Results Using Multiple Linear Regression

The amount of Remaining Operation Results (ROR) obtained by Koperasi can reflect the health ofits financial management. Many economic factors can affect the ROR of Koperasi itself. This studyaims to determine the economic factors that significantly influence ROR based on a statistical model ofmultiple linear regression. The novelty of this research provides new analytical results that compare themost three influential factors based on previous research to show the factors significantly influencingthe ROR. The quantitative data used the five years financial statements of Koperasi Sawit Makmur in2017-2021 consists of 20 data on liabilities, net worth, assets, and ROR of Koperasi Sawit Makmur. Theresults show that asset variable as an excluded variable that does not affect the ROR of Koperasi withR2 = 0, 961. Liabilities and net worth variables can explain 96.1% of ROR, with 3.9% can be explainedby assets and other variables not included in the study. Liabilities have a negative and tangible effect,and net worth has a positive and partially real influence on ROR. The factor with the most dominantinfluence on ROR is net worth, with an influence percentage of 63,80%. The future research is expectedto provide an overview of net worth and asset determinants using related statistical methods.