Reviewerly/exHarmony huggingface dataset:
E-office implementation to support office administration activities

Office Administration is a science that deals with planning, organising, implementing, and controlling all matters relating to the life cycle of business and business information in the company. And very closely related to correspondence or correspondence, archives, and communication skills. With the existence of e-office, it can manage and integrate computer-based such as digital archives, or correspondence that does not require physical letters or paperless. Therefore, due to the development of technological disruption, the purpose of this research is how to build a system and application of e-office¬ for office administration and find out the advantages of implementing e-office. This research uses the literature study method by reviewing books, journals, and related research.
A Long Tail Item Recommendations for MovieLens

Amidst the framework of the Movie-lens dataset, this research paper digs into the essential topic of long-tail item suggestions. Long tail items, which are frequently neglected in traditional recommendation systems, constitute a substantial reservoir of specialty material. We evaluate and analyze existing methodology and breakthroughs in this subject, including collaborative filtering and matrix factorization, as well as hybrid and deep learning-based approaches. Our assessment highlights the ongoing issue of improving recommendation accuracy and diversity, especially for less popular films. In this paper, we investigate the crucial importance of user-item interaction patterns and auxiliary data sources in tackling the long tail problem. We present a complete analysis of the state-of-the-art in long tail item suggestions for movie lenses by exploring the strengths and limits of various strategies. This study gives insightful information for long-tail recommendations looking to create more inclusive, user-centric, and interesting movie recommendation platforms. It also sheds light on the changing landscape of recommendation systems.
The effectiveness of trivariate shrinkage computer radiography (CR) technique on image quality and anatomical information in radiotherapy geometric verification

Geometric verification is mandatory before radiotherapy treatment by comparing the image suitability results from the Computer Radiography (CR) imaging portal with the planned reference image at the TPS (Treatment Planning System). EPID is an advanced technology that has yet to be applied to all radiotherapy departments in Indonesia because it is commercial, so CR is an alternative to geometric verification. The purpose of analyzing the effectiveness of using the Denoising Technique with Trivariate Shrinkage CR compared to EPID in improving image quality and anatomical information on geometric radiotherapy verification. Research Method experimental quasy or pseudo experiment with pretest and posttest design of one group with control design. The respondents were all patients who underwent CR and EPID examinations. Determination of respondents using consecutive sampling so that the number of samples obtained was 16 samples. Denoising was performed using the Matlab Program with Trivariate Shrinkage on CR and compared to EPID. There are differences in anatomical information of geometric verification of radiotherapy carried out before and after denoising using Trivariate Shrinkage, as seen from all variables obtained p-value &lt;0.05. There is no difference in anatomical information of geometric verification of radiotherapy denoising using Trivariate Shrinkage on CR compared to EPID, as seen from the variable obtained p-value &gt;0.05. In conclusion, the Trivariate Shrinkage Computer Radiography (CR) technique effectively improves image quality and anatomical information in the geometric verification of radiotherapy. The Trivariate Shrinkage Computer Radiography (CR) technique can produce optimal images and provide good anatomical information comparable to EPID.Â Â Â
Methodological concepts of teaching pharmacology to medical high school students in the process of distance learning

The article reveals the essence of distance learning during the pandemic and martial law, characterizes its components, considers the importance of competence formation and the need for its implementation among student youth. In today's world, when we are faced with the choice of student's health or knowledge, distance learning has come to the rescue, which has been introduced and used in all higher education institutions in Ukraine. The introduction of online education (distance learning) couldn't help the implementation of new methods of teaching young medical students. This has opened new opportunities for both teachers and students, using the tools of modern technology in distance learning. The aim of the study is the features of the methodological concepts of teaching pharmacology to medical students in distance learning. The use of distance learning of medical students has the following advantages: unlimited access to educational materials anywhere in the world, time mobility, extensive use of online resources; saving the life and health of all participants in the learning process. The use of multimedia technologies as a components online education is very important when teaching the subject of "pharmacology"through distance learning sessions, video lectures, as well as online consultations. However, there are a number of disadvantages in distance learning – different Internet speeds, distracting components, and the lack of emotion during conversations. Distance learning can bean alternative learning to infectious epidemics, wars, cataclysms when it is impossible to conduct in person training. The use of distance learning introduces young people to a modern style of education. Meanwhile the use of online technologies in the teaching of pharmacology also directs the development of student self-education. All of these factors are valuable for finding new skills throughout life. The use of distance education components (online lectures, online consultations) will be important in the future of teaching pharmacology and in full-time (offline) training of medical students.
Open Access and Libraries: The Free E-Journals Collection as a Case Study in Stewardship

This brief essay explores the changing nature of librarianship and the dynamics of working with electronic resources. It focuses especially on the aspects of maintaining connections to free and open resources through library systems.
AN INTELLIGENT TRAVEL RECOMMENDER SYSTEM BY MINING BEHAVIORAL ATTRIBUTES FROM ONLINE TRAVELOGUES IN MALAYALAM – A LOW RESOURCED LANGUAGE

Language technology involves various language processing tools and techniques which significantly contribute to Natural Language Processing (NLP). Among NLP, natural language text and speech processing are two emerging segments that require huge attention from research. Regional language processing with the advent of Artificial Intelligence brings umpteen opportunities, especially in the Indian context as many languages were spoken in different parts of the Country. A Recommender Model in the Malayalam language in Travel and tourism domain using unsupervised machine learning techniques is the intention behind this paper. Malayalam is a low-resource and highly inflected language that possesses a greater chance for ambiguity. Data sharing online platforms and social media are used as data collection sources, where the availability is still limited and challenging, which may cause scarcity of data. The works propose various methodologies to generate a custom-made scraping model from the social media written in the Malayalam Language and its preprocessing. A deep-level Travelogue Tagger has been specially constructed as part of the experiment. This paper proposes a recommender model based on traveler reviews using Collaborative filtering and Cosine similarity methods. The experiment succeeded with high precision
Bentuk Pengungkapan Citraan pada Aspek Kejiwaan dalam Sajak Penyair Jambi Dimas Arika Miharja

This research is included in the type of descriptive research with a content analysis approach to documents in the form of poetry literary works. The purpose of this study is to describe the type of image revealing psychological aspects contained in the poems of Jambi poet Dimas Arka Mihardja. The primary data in this study are words or sentences in the form of expressions contained in poems by Jambi poet Dimas Arka Mihardja which are related to the image of revealing psychological aspects. While the source of data in this study is the Anthology of Jambi Poetry Poems by Dimas Arka Mihardja. Research data were collected using documentation study techniques. The research data were analyzed using document analysis techniques that rely on rhyme discourse containing psychiatric aspects. From the results of the study, it was found that the poems of Jambi poet Dimas Arka Mihardja contained many forms of imaging revealing psychological aspects in the form of visual images, auditory images, olfactory images, taste images and motion images. Psychiatric aspects found include depression, obsession, irritation, fear, frustration, hope, attention, and anxiety.
Transforming Expository Writing Skills in Class V Students: The Impact of the 'Modeling the Way' Method on Learning Outcomes

This study aims to determine the effect of the application Modeling the Way learning methods to the learning outcomes of fifth grade students.. This study refers to 3 indicators namely; 1) the achievement of completeness of learning outcomes, 2) student activity in learning activities has increased, 3) students respond positively to the implementation of learning using the Modeling the Way method. The research design uses The One Group Pretest-Posttest Design. Sampling using a proposive sampling technique. The population is the fifth-grade students with a research sample are 35 students of VB class. The study was conducted during 6 meetings. Data collection techniques using tests to measure learning outcomes before and after following learning by using the Modeling the Way learning method, observation sheet activities of students to observe student activities during the learning process, questionnaire responses of students to find out their responses to the implementation of learning using the Modeling method Way. The results showed that the average score of the initial test (Pretest) was 50.17 and there were 4 students (11%) who completed it, while the average score of the final test (Posttest) was 83.11 and there were 33 students (94%) in the complete category. Thus, it is evident that the use of the Modeling the Way method affects the learning outcomes of writing skills in the exposition paragraphs of fifth grade students of SD Inpres Mangga Tiga Makassar City.
Rice Classification with K-Nearest Neighbor based on Color Feature Extraction and Invariant Moment

Rice is the staple food of Indonesians which comes from rice plants. Rice plants often experience crop failure due to disease. Of course this will affect the yield. Therefore, in this era of technological advances, digital images can be used to help farmers classify rice leaf diseases so they can be controlled. One of the classifications uses K-Nearest Neighbor (KNN) which is sourced from learning data information with the closest distance. Research requires color feature extraction and invariant moment methods in order to obtain information on the distinguishing characteristics of an object from other objects. Data comes from the UCI Machine Learning Repository totaling 120 images which are divided into 3 types of bacterial disease leaf blight, brown spot, and leaf smut with each class having 40 images. The color features used by HSV are Hue, Saturation, and Value. Meanwhile, the invariant moment uses the seven features H1 to H7 introduced by Hu. Feature selection is carried out after the feature extraction process to get the highest accuracy value. In addition, variations in the number of neighbors (k) in KNN are also varied from k=1 to k=10. The best accuracy results are obtained from the use of features, namely hue, saturation, value, h2, h3, and h7 and the value of the number of neighbors in KNN k=1 with an accuracy 81.66%.
Index/Impressum: Vakuum in Forschung und Praxis 5/2023

Vakuum in Forschung und PraxisVolume 35, Issue 5 p. 51-51 MagazinFull Access Index/Impressum: Vakuum in Forschung und Praxis 5/2023 First published: 09 October 2023 https://doi.org/10.1002/vipr.202370509AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume35, Issue5October/November 2023Pages 51-51 RelatedInformation
Forschung: Vakuum in Forschung und Praxis 5/2023

Vakuum in Forschung und PraxisVolume 35, Issue 5 p. 12-17 Magazin Forschung: Vakuum in Forschung und Praxis 5/2023 First published: 09 October 2023 https://doi.org/10.1002/vipr.202370503AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Volume35, Issue5October/November 2023Pages 12-17 RelatedInformation
Impact of Internal Marketing on Organizational Performance: A Field Study of Islamic Banks in Sana’a

This study aimed to identify the impact of internal marketing on organizational performance in Islamic Banks in Sana’a. To achieve this, the study adopted the descriptive analytical method. Four banks represented the study population, which included (630) individuals. A questionnaire was distributed to a sample of (242) participants who were selected, using the stratified non-probable sampling method; however, only 164 questionnaires were valid for analysis. The data were analyzed with the help of SPSS. A set of descriptive and inferential statistical techniques were used to assess the study questions and test its hypotheses. The study results revealed that there was a high level of interest in the banks about the realization of organizational performance, whereas the level of practicing internal marketing was medium. There was a disparity in the effect of internal marketing on organizational performance, where the most effective one was the dimension of internal communication, followed by training, motivation, and empowerment. The study proposed a number of recommendations, including paying more attention to the various dimensions of internal marketing, which would lead to increasing the effectiveness of organizational performance, especially the internal communication factor as it is the most effective factor.
Research on users’ mental model in image retrieval

Through the study of users’ mental model, this paper discusses the interactive process of image retrieval, and provides ideas for accurate image retrieval in line with user psychology. Through the methods of concept list and user log, this paper builds a Users’ Mental Model in Image Retrieval (UMMIR), discusses the dimensions, characteristics and types of users of image retrieval, and applies UMMIR to the retrieval strategy, constructs the topological relationship of Tagcloud, and verifies it with the visual prototype. The UMMIR consists of three levels: the Platform Technology Level (PTL), the Interactive Experience Level (IEL), and the Image Content Level (ICL). It includes 12 dimensions: Service Platform (SPD), Intelligent Drive (IDD), Intellectual Property (IPD), Retrieval Entrance (RED), Feedback and Sifting (FSD), Interactive Interface (IID), Topic (TD), Emotion (ED), Composition (CD), Style (SD), Purpose (PD), Quality (QD). UMMIR has the characteristics of Scenarios, Complexity, Imperfection, and Gradualness. Users in UMMIR can be divided into five types: Target-driven, Art-driven, Structure-driven, Platform-dependent and AI-yearner. The visualization of UMMIR to the retrieval platform provides a direct basis for the optimization of the interactive process in image retrieval.
Research on concept drift data stream classification based on adaptive online broad learning system

Traditional online broad learning system are unable to adapt to dynamic changes in data streams for concept drift data stream classification. To address this issue, this paper proposes an Adaptive Online Broad Learning System (AOBLS) classification algorithm that introduces an adaptive forgetting factor and concept drift detection mechanism. Additionally, this paper proposes a concept drift index to measure the degree of concept drift. By combining the concept drift index and forgetting factor, the model can adaptively adjust the size of the forgetting factor to better handle concept drift. Experimental results demonstrate that the proposed algorithm performs better than similar algorithms in terms of classification accuracy, stability, and concept drift adaptability.
Psychology of information and communication technologies users as a new research area

Introduction. The unprecedented spread of information and communication technologies (ICT) in various social activities is causing significant changes in human life. Therefore, researchers should focus on studying the impact of ICT on the modern society as a whole as well as on the cognitive processes and behaviors of specialists who work with information. Aim. To highlight the main areas of research into the impact of information and communication technologies on the daily social life as well as on the personality of Internet users. Methods. Application of ICT for Self-Organization and Self-Development of the Individual (Vynoslavska, 2015) and Advantages and Disadvantages of Using ICT in the Educational Process (Vynoslavska, 2016). Results. The relevance of the study is confirmed by the list of modern scientific literature on the impact of ICT on the daily life of society, in particular on the cognitive and personal development of the individual. The article analyzes the opinions of the technical university teachers and students as advanced Internet users about the advantages and disadvantages of ICT, the dynamics of Ukrainian Internet users’ opinions about the negative impact of online work (2012-2022), and compares the obtained data with the results of foreign studies. Prospects for further research in psychology of ICT users are outlined. Conclusions. The information presented in the article can be useful in researching the problems of social psychology of ICT users as well as the psychological consequences of their online work.
DEVELOPMENT OF METACOGNITIVE SKILLS OF COLLEGE STUDENTS IN THE PROCESS OF LEARNING MATHEMATICS, TAKING INTO ACCOUNT NATURAL POSSIBILITIES

Abstract. This article examines the assessment of metacognition, which allows the teacher to consider the learning process, and helps to identify a lack of knowledge and inaccuracies in understanding the material. The general theory of metacognition and its assessment is analyzed, which allows to find practical approaches to metacognitive strategies using reflective methods. Metacognition enables the teacher to consider the learning process, identify the lack of knowledge and inaccuracies in understanding the material, and understand which metacognitive strategies should be used at one time or another. The theory of metacognition and evaluation allows finding practical approaches to metacognitive strategies. By monitoring the logical thinking of students, a metacognitive strategy for conducting classes with college students is selected. And also in this article we will also consider two components of a complex synthesis – the metacognitive concept and B. Bloom's taxonomy.
Human centric intellectual property rights and legal personality of artificial intelligence

As technology continues to revolutionise how humans work and operate, many parts of human activity will be replaced or supplemented by newer technologies. Trends in technological innovation may have a more significant impact on some previously unaffected human tasks. A growing number of consensus recommendations give legal personality to AI systems. Arguments are often based on utility and contrasted with companies. When AI systems are indistinguishable from living things, they should have the same legal status. Therefore, a legal assessment of the effectiveness of technological developments is required. This article will discuss the potential impact of AI on intellectual property. With AI advancing so rapidly, existing IP rules need to be overhauled. There are few or no legal provisions for AI in the intellectual property. However, there is a significant degree of interaction and correlation between the two, which we will discuss in this article. AI is developing rapidly worldwide, coinciding with the scope of intellectual property (IPR). Because of this, the system needs to recognise and change some rules.
ADVANTAGES AND CHALLENGES OF NOSQL COMPARED TO SQL DATABASES - A SYSTEMATIC LITERATURE REVIEW

Relational data models represent a long-standing standard in database technologies. A unique language for writing queries, fixed schema, vertical scalability, consistency, durability are just some of their basic features. However, the development of information technologies and intensive recording of data leads to the emergence of Big Data, where problems arise when using SQL databases. Large amounts of semi-structured and unstructured data cannot be stored in a simple way, so new systems in data storage are being developed - NoSQL databases. The aim of this paper is to present the advantages and challenges of NoSQL compared to SQL databases through a systematic literature review. Based on the set research questions, the main features where NoSQL databases have advantages were formed, but the challenges they face during implementation and operation in relation to SQL databases were also presented. The research results were presented and interpreted.