Reviewerly/exHarmony huggingface dataset:
Extractive Text Summarization Using Deep Learning for Tigrigna Language

With the ever-increasing amounts of textual material such as web pages, news articles, blogs, microblogs, and similar, the Internet became the massive body of unstructured information.In this paper to deal with the issues for the availability of more and more information with less time, the extractive text summarization using the deep learning model was used.In this paper, the proposed approach uses three basic stages of feature extraction, feature enhancement, and summary generation of the given news article to extract the core information, to produce well understandable summary and save reader's time.In the feature extraction, We explore various features to improve the extracted sentences to the summary by the score and rank of the extracted features matrix by calculating the top thematic words, paragraph segmentation, sentences length & position, proper nouns, and TF-ISF, and the sum of the feature vector given to RBM to enhance the extracted feature vector and finally generate the final summarization by taking top high scores and 50% 0f the sum second higher scores from the enhanced feature extracted scores.For experimenting purpose, we have used 10 news articles from the total gathered news articles gathered from BBC-Tigrigna, Fana-Tigrigna and VOA-Tigrigna news website.The evaluation of the extracted summary was evaluated using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) to compare the system extracted summary with the reference / manual summary prepared by human experts.According the experimentation, the average score of ROUG-1 shows 49% for recall, 39% precession, 42% for F-score and for the ROUGE-2 shows that 32% recall, 26% precession and 28% for F-score, for ROUGE-l also shows that 39% of recall, 33% of Precession, and 35% of F-scores.The result shows the proposed approach have higher result in Rouge-1 and the F-score or harmonic mean of precision and recall is 42% and it solves the problems of information overloading in the ever-increasing available news articles by generating the extractive summarizations.
Optimizing Surplus Resources To Private Cloud

A special set of capabilities made available by cloud computing make it a very effective and scalable hosting solution. To host their software and applications in the Cloud, all commercial enterprises and academic institutions make use of one hosting platform or another. Additionally, a lot of these organisations or companies have excess or underused computing resources, even though they are fully functional but lack the necessary capacity to function as a standard workstation, leading to the creation of e-waste. The method for combining these extra computing resources into a single datacenter Private Cloud that can execute applications, containers, and virtual machines is presented in this paper. Its effectiveness for various types of hypervisors is then tested.
Multipurpose Virtual Assistant Using Machine Learning

— Virtual assistant is a software agent who will perform a different task or work for personally supported Questions or commands called a Virtual Assistant with the intelligence of a human. In some phenomena, virtual assistants can interpret human speech, and sign language responds via synthesized voices and moves to convert voice to text. Clients can interrogate with their virtual assistants to control home automation devices manage their tasks like email, to-do lists, and media playback, check weather updates interact with help of sign language with verbal command and response. Several research papers regarding multipurpose virtual assistant were reviewed and an appropriate solution to address this problem was concluded. You Only Look Once Natural Language Processing and Convolutional Neural Network (CNN) algorithms assist to perform operations with voice and text commands. By using this approach, the final result is expected to have an accuracy score of over 96%.
Diminution of Extended Euclidean Algorithm for Finding Multiplicative Inverse in Galois Field

This manuscript deals with the theorem on diminution of the Extended Euclidean Algorithm for finding the multiplicative inverse of non-zero elemental polynomials of Galois field with respect to a monic irreducible polynomial over , where is a prime and is any positive integer. This method became successful in finding the multiplicative inverse of all those non-zero polynomials for which the Extended Euclidean Algorithm fails. We find the inverse of all 342 non-zero elemental polynomials of using an irreducible polynomial We also used Cayley Hamilton’s theorem for finding the multiplicative inverse of the non-zero elemental polynomials of a finite field.
A Twenty-First Century Prototype Research in Languages, Social Sciences and Progressive Sciences Empirical and Pedagogical Observations

University Education is vital because it promotes truthfulness, honesty, mutual-trust, reason, and humanness. These desirable qualities of mind are inculcated through extending the horizon of Reasearch and Teaching in Social Sciences, Languages, and Progressive Sciences. All outstanding accomplishments in those domains of knowledge were well-explored, and augmented during renaissance. It is generally acclaimed that the foundation of modern society was essentially laid down by Renaissance itself. Since then, the prevalence of the Age of Reason, (18th Century); and the occurrence of First, Second, Third, and Fourth Industrial Revolutions in succession (1760 AD to 2022 AD) have theoretical basis drawn richly from fundamental research in Social Sciences, Languages, and Progressive Sciences. The author of this research paper brings-forth the present state of research in Indian Universities based on select authentic sources.
Development Education in Digital Era

Development education has been acknowledged for a long time as an essential instrument for advancing social justice, global citizenship, and sustainable development. The field of development education is entering a new era that is fraught with both new opportunities and new problems brought about by the proliferation of digital technology. This paper explores the role of development education in the digital era, focusing on how digital technologies are being incorporated into educational settings to enhance learning and engagement, as well as the theoretical and practical repercussions that these changes have for the field of development education. The paper argues that while digital technologies offer new possibilities for engaging learners and promoting global understanding, they also present challenges related to access, equity, and critical engagement. Drawing on existing literature and case studies, the paper concludes by outlining some of the key issues and opportunities for development education in the digital era.
Impact of Non- Store Retailing in Indian Economy

Non-store retailing is the selling of goods and services without ever establishing a physical store, as opposed to the traditional way – the very foundation of retail. In an ever-changing market of globalization era, where need for better efficiency is crucial, non-store retailing is patronized to time conscious consumers or compulsive buyers. Non-store retailing, that includes e-commerce, direct selling, telemarketing, etc., has evolved throughout the years and continues to offer consumers the convenience of buying 24 hours a day, 7 days a week and delivery at the location and time of their choice. Taking a leap in popularity in the pandemic era, the mere expectation that it will grow at a staggering rate over the next few years is no rocket science either. Although here the potential customer base can be limitless, it’s not devoid of its own demerits and negative aspects, of which unhealthy competition leading to customers having to pay twice-thrice the money they should pay, is the biggest. This study aims to thoroughly go through both the positive and negative aspects of non-store retailing, to seek out and strike a balance between store based retailing and non-store retailing, so that both continue to develop, evolve and thrive in a healthy manner and contribute to the nation’s GDP and towards customer satisfaction as well as retention.
The Need for Digital Teaching Materials of Poetry Texts for Junior High Schools Based on the Creative Process

This study aims to find out the teaching materials needed by junior high school teachers in overcoming the low quality of Indonesian language learning outcomes at the primary and secondary education levels, especially in producing creative works.The results of this study are used as a basis for developing teaching materials that can encourage students to express their thoughts, feelings and ideas through beautiful, rhythmic language, which has literary values and politeness which is done creatively.The research method used is mixed research methods (mixed method).The research instruments used were interviews and questionnaires.The data sources are productive young poets and teachers who are members of the Cirebon District Middle School Indonesian Language Teacher Conference.The results of this study note that the creative process in writing poetry is: (1) capturing information, both external phenomena or thoughts, self-feelings, internal in nature; (2) processing information until it settles and experiences incubation; (3) produce poetry texts with a stimulus from poetic ideas and poetic knowledge; (4) make edits based on reflection on the fulfillment of the building blocks of poetry so that readers can understand and enjoy them.The creative process in writing poetry needs to be poured into teaching materials needed by teachers to train students in developing students' creative abilities in producing poetry texts.Teaching materials presented digitally can help teachers improve learning efficiency.
Publishing activity of the Stavropegic Institute in Lvov at 1920–1930

For the first time, a historical review of publishing activities at the Stavropegic Institute in Lvov and its printing house is given. A brief historiographical review of the topic is given. The main circle of authors is revealed. The thematic-typological analysis is given. The influence of the ideology of Galician Russophiles on publishing activity is analysed. The role of the Secretary of the Institute of the well-known public figure V. R. Vavrik. The circumstances of the publication of the most famous publication in the Stavropegian Institute – „Thalerhof Almanac” are given. The distribution channels of publishing products in the Stavropegian Institute are shown. Based on new archival documents, it is proved that the bookstore at the Stavropegic Institute was closed not in 1939 or 1944, as previously thought, but in 1950. The article is based on the documents of the V. R. Vavrik in the Department of Manuscripts of the Russian National Library.
Professional development of the human resources of the library

Professional education of a librarian is the most vital component of the evolution of the library and information industry, a progressive movement that contributes to the development and formation of a modern library specialist. The purpose of this article is to substantiate an additional study of the concept of “professional development” in the context of social modernization of both society as a whole and the library industry. The task of the study was to consider the components of vocational education and professional development. The study examines and substantiates the subtasks of professional development in the context of the personnel strategy of modern personnel management related to increasing the social mobility of specialists, positive social well-being, increasing the degree of adaptation to new technologies and working conditions, synergetic personality culture, reducing the risks of emotional burnout of specialists, motivation for self-development of young capable employees. The authors have considered and systematized the main components of professional development and formulated the definition of “professional development of the library’s personnel potential“.
A STUDY ON QUALITY OF SERVICE AT SKILL VERTEX, BANGALORE

This project titled “A Study On Quality of service Of Skill Vertex “.The main objectiveof this study is to determine the quality of service that is by the Skill Vertex to its customers.&#x0D; Primary, well defined objectives are framed to the study then questionnaire is preparedbased on defined objectives. The prepared questionnaire is used to get the direct response from theselected sample size of 120 customers of Skill Vertex on the basis of convenience sampling method.The response given by the employees are analyzed and interpreted using different statistical tools such as chi square test and correlation methods.From this analysis some general findings arrived and that are more related with the framed objectives for this study. It is found that the overall quality of service score is within the acceptable level. According to the findings, the suggestions and recommendations are given whichwill be more helpful for the organization.
Peter the Great’s scientific instruments in the collections of Kunstkamera

The history of modern collections of MAE (Kunstkamera) RAS roots to Peter the Great’s private gatherings. However, the ascertainment of correlation of modern museum objects with the ones which were in the museum in the first quarter of the 18th century demands complicated research – work with the objects, archival documents and historiographical background. Results of this kind of work with scientific instruments are presented in the current article. The research leads to the conclusion that seven objects presented at modern expositions can be surely determined as originating from Peter the Great’s collections: the Great Gottorf (Academic) globe, armillary sphere, lens, two sundials, goniometer and protractor. Twenty-five more instruments can be also associated with Peter the Great’s collections, but the discovery of additional documentary evidence is hardly possible. They are compasses, telescopes, backstaff and a row of drawing instruments (compasses, protractors, rulers, angles, levels and pens). Some museum objects (such as B. Scott’s boussole and N. G. Chizhov’s sundial) came to the memorial Emperor’s cabinet in the second half of the 18th – first half of the 19th century by mistake, they could not be made in the first quarter of the 18th century.
INTELLIGENT METHOD WITH THE REINFORCEMENT OF THE SYNTHESIS OF OPTIMAL PIPELINE OF THE DATA PRE-PROCESSING OPERATIONS IN THE MACHINE LEARNING PROBLEMS (Eng)

The paper is devoted to the synthesis and optimization of the pipelines of the data pre-processing operations in the problems of the machine learning models construction. It is noted that it is important to optimize the triad of these pipelines - select optimal sequence of the optimal operations with the optimal parameters. In this case, the change of even one element immediately influences the choice of all other elements and their parameters. In general case, there exists a great number of the admissible variants of such pipelines for each model of machine learning and input data (random values or time series) and, as a rule, there is no marked datasets of model training for the synthesis of such pipelines. The survey of the known approaches to the solution of such problems has been carried out, the conclusion that the best way is to formalize them as the problems of reinforcement &nbsp;machine learning &nbsp;has been substantiated t. Typical approaches to the formalization and intellectual methods of similar problems solution have been presented. It is noted that the solution of the problems with reinforcement, as a rule, is complicated due to large dimensionality of the possible sets of the types and subtypes of the operations with different parameters and has problems with the coincidence to really optimal value during limited time. That is why, several improvements, enabling to solve this problem at certain conditions, are suggested. First, it is suggested to allocate variable and constant sections of the pipeline of the data pre-processing operations. It is also suggested for different types of the machine learning models what operations should be referred to the first and last unchangeable links and what operations – to variable link and only to this link it is suggested to apply reinforcement learning. Secondly, the algorithm of the initial setting of RL-policy parameters depending on certain statistical and other characteristics of the input data is suggested. The proposed improvement of the method with the reinforcement of the synthesis of the optimal pipeline of the operations can be applied not only for pre-processing operations but for other problems with the similar data formalization and problem set up.
Digital transformation in foreign language education: Examining the position of the EFL teacher in ICT literacy diffusion

Digital transformation and ICT adoption in Japanese higher education has lagged behind other developed countries.Drawing on Diffusion of Innovation theory, this preliminary case study examines the role of English foreign language (EFL) teachers as opinion leaders in information communication technology (ICT) literacy diffusion in the Japanese university context.The preliminary findings indicate EFL teachers enhance ICT literacy in breadth and depth for both teachers and students.With these findings this study proposes a tentative conceptual model that adds to the current scholarship on ICT utilization in Japanese higher education by illuminating how teachers can support digital transformation to expand the breadth and depth of ICT literacy, and cross-cultural diffusion of technology.Policy and pedagogical implications for in-service teacher professional development are discussed.
Dynamically selected watermark insertion using machine learning

Watermarking is a process of embedding one image into another image, used to protect the image from copyright infringement; the main aim of this watermarking is to provide ownership assertion- only rightful owner can extract the watermark from image to prove the ownership. Day-to-day the attacks on digital content (like images) are increasing, but still the same traditional watermarking process is used to for content protection. In traditional watermark embedding process static watermarks are used at the source which may lead to compromise of algorithm. To avoid this, in this paper a very new way of watermarking is introduced with the help of object detection, along with the concept of content-related watermarking by dynamically selecting the watermark image.
Enhancing pupil engagement and learning through augmented reality-based interactive phonetics education

The traditional learning environment often lacks interactivity, which can impede the learning process for young students, particularly in subjects like phonetics, where engagement is crucial for success. This research explores the development and implementation of an interactive learning project aimed at enhancing the educational experience for school pupils by leveraging augmented reality (AR) technology. By overlaying digitally created content such as computer-generated graphics, videos, text, and sound on top of a physical view, AR provides an immersive and engaging platform for students to interact with real and virtual elements. The proposed System focuses on fostering a better understanding and faster Learning of phonetics among students by incorporating interactive features into their learning environment. This approach seeks to bridge the gap between conventional teaching methods and the need for more engaging educational experiences, particularly for young learners who struggle with traditional phonetics education approaches. To evaluate the effectiveness of the AR-based interactive learning project, a pilot study will be conducted in selected schools, comparing the learning outcomes and engagement levels of students using the AR platform against those in a traditional learning environment. Data will be collected and analysed to assess the impact of the AR intervention on students' learning progress, engagement, and overall satisfaction with the educational process. If successful, implementing this AR-based interactive learning project in schools could revolutionise phonetics education, leading to improved learning outcomes and more engaging student learning experiences. Moreover, this research could serve as a foundation for future studies examining the broader applicability of AR technology in various educational contexts.
Design and implementation of an android base system for job recruitment

The benefit of computerisation in the organisation, either public or private, is essential to make the organisation's activities run effectively and efficiently. lt simplifies the complexities in getting data, analysing it and producing the output in a specified format based on the result of the program analysis of the data used. Despite the complexities of both entries and analysis of vast data of the applicant records, this project is aimed at simplifying it by designing a computer-based program that will manage part of the activities taking place at the Nigerian Institute Of Leather And Science Technology and also will perform all necessary tasks of analysing those that will yield the correct and meaningful result (output) format in the required by the Institute recruitment. The program produces a room for using an entry form as an interface between the database and the data, which will then be analysed and the desired result produced. The development of the analysed data is then presented in a specific format using the report designed to suit the usual request by the Nigerian police recruitment on such report or data. This includes the applicant's Name, qualifications and other things the applicant records. Therefore the computer program developed in this project work. Serve as a considerable improvement over this existing system and as a tool for technology development for Nigerian police recruitment.
Odd Harmonious Labeling of the Zinnia Flower Graphs

An odd harmonious graph is a graph that satisfies the odd harmonious labeling properties. In this study, a new graph class construction is presented, namely zinnia flower graphs and variations of the zinnia flower graphs. The research method used is qualitative and includes several phases, namely data collection, data processing and analysis, and verification of the results. The purpose of this research is to find a new class of graphs that is a family of odd harmonious graphs. We will prove that prove that the zinnia flower graph and its variations satisfy odd harmonious labeling properties. The result of this research is that the zinnia flower graph and its variations are odd harmonious graphs. Keywords: Flower graph; odd harmonious graph; odd harmonious labelling; zinnia flower graph Pelabelan Harmonis Ganjil dari Graf Bunga Zinnia ABSTRAK Graf yang memiliki sifat pelabelan harmonis ganjil adalah graf harmonis ganjil. Pada penelitian ini akan didapatkan konstruksi graf bunga zinnia dan variasi graf bunga zinnia. Metode penelitian yang digunakan adalah penelitian kualitatif yang terdiri beberapa tahapan yaitu pengumpulan data, pengolahan dan analisis data, serta verifikasi hasil. Tujuan penelitian ini adalah menemukan kelas graf baru yang merupakan keluarga dari graf harmonis ganjil. Hasil penelitian ini diperoleh bahwa graf bunga zinnia dan variasi graf bunga zinnia merupakan graf harmonis ganjil. Kata kunci: Graf bunga; graf bunga zinnia; graf harmonis ganjil; pelabelan harmonis ganjil