Reviewerly/exHarmony huggingface dataset:
TEXT AND DATA MINING EXCEPTION AND THE BENEFIT FOR THE LIBRARIES

In the field of research, the exception of text and data mining makes the processing of large amounts of information with a view to gaining new knowledge and discovering new trends possible, through new technologies that enable the automated computational analysis of information in digital form, such as text, sounds, images or data.Although such technologies benefit universities and other research organisations, in which libraries are also included, they are also confronted with legal uncertainty as to the extent to which they can perform text and data mining of content.In certain cases, text and data mining can involve acts protected by copyright, by the sui generis database right or by both, in particular, the reproduction of works or other subject matter, the extraction of contents from a database or both which occur for example when the data are normalised in the process of text and data mining.If no exception or limitation applies, an authorisation to undertake such acts is required from rightholders.For the benefit of the research community and the support of innovation and in order to secure legal certainty, the EU legislator has adopted an exception for text and data mining, regulated in Articles 3 of the DSM Directive.In this Paper, this exception and the benefit for libraries will be analyzed.
Features of organization of training at Academy of FPS of Russia in interaction of teacher and cadets using information and communication networks

The article describes specific features of the organization of training at the Academy of the FPS of Russia in the interaction of a teacher and cadets in the context of restrictions on contact work associated with countering the spread of the new corona-virus infection. The aim of the work was to substantiate the effectiveness of using the algorithmic method for the formation of sustainable skills in the implementation of the educational process through the use of distance technologies. The methodological framework of the study was made up of analysis, synthesis, induction, systematization and generalization. The study was carried out throughout a year at refresher courses and classes conducted by employees of the Department of Mathematics and Information Technologies of Management of the Academy of the FPS of Russia. As a result, it was found that to maintain the quality of education at a proper level, it is necessary to develop the computer literacy of teachers, familiarize them with modern innovative pedagogical technologies and features of their application; expand the variety of methods, forms and means of teaching used in the interaction of a teacher and students through information and communication networks. Conclusions are made about the importance of combining organizational, information-technical and methodological measures to improve the professional competence of the teaching staff and ensure the proper quality of education when switching to e-learning. The fact of maintaining the quality of education at the Academy of the FPS of Russia at a proper level was confirmed by the commission of experts, which in 2021 conducted an accreditation examination in relation to the educational programs implemented. The described experience will be useful to the teaching staff of educational organizations of the Federal Penitentiary Service of Russia. Key words: information technology, computer literacy, professional pedagogical competence, distance learning technologies.
Mammogram Segmentation using a Improved Nonlinear Access of Level Set Method

Image segmentation plays a serious role in field of medical image processing, forensic sciences and many more.A nonlinear approach for image segmentation leads to a critical issues compare to a linear approach. In this paper a nonlinear approach algorithm is proposed for segmentation purpose by using Bayesian rules of probability weighted force function for retrieve weak sense boundaries. This proposed method reduces the boundary leakages and also provide true boundaries of an images. An experimental setup results for an improved proposed method of snake or Level set method on mammograms gives a better results.
Strategies and Tools for the Sonification of Prosodic Data: A Composer's Perspective

Does it make sense to sonify information that refers to an already audible phenomenon such as prosodic data? In order to be useful, a sonification of prosody should contribute to the comprehension of paralinguistic features that may not otherwise attract the attention of the listener. Within this context, this paper illustrates a modular and flexible framework for the reduction and processing of prosodic data to be used for enhancing the perception of a speaker's intention, attitude and emotions. The model uses speech audio as input and provides MIDI and MusicXML data as output so allowing samplers and notation software to auralize and display the information. The described architecture has been subjectively tested by the author over many years in compositions for solo instruments, ensembles and orchestra. Two outcomes of the research are discussed: the advantages of an adaptive strategy for data reduction, and the auditory display of the deep pitch and temporal structures underlying prosodic processing.
INEFFECTIVENESS SENTENCE IN STUDENT’S THESIS OF PROGRAM STUDI PENDIDIKAN BAHASA DAN SASTRA INDONESIA STKIP PGRI SUMATERA BARAT

This research is background by the frequent errors in writing effective sentences The formulation of the problem is how is the ineffectiveness of sentences in scientific papers of Indonesian Language and Literature Education Study Program students in STKIP PGRI West Sumatra. Research purpose to describe the ineffectiveness of sentences in scientific papers of Indonesian Language and Literature Education Study Program students in STKIP PGRI West Sumatra. Research data is an ineffective sentence found in scientific papers (theses) students of the Indonesian Language and Literature Education Study Program STKIP PGRI West Sumatra. Data collection technique is the listening method.. Data analysis techniques are reading and marking, inventorying, classifying, analyzing and conducting discussions, discussions, conclusions of data and writing the results of research reports. The results of the study are sentence ineffectiveness based on the seven effective sentence requirements, namely the comparability of the structure, the parallelism of forms, the firmness of meaning, the effectiveness of words, the accuracy of reasoning, cohesion of ideas, and the logic of language.
Performance Assessment of Content Based Image Retrieval System using Particle Swarm Optimization Algorithm and Differential Evolution

In this paper, a content-based image retrieval (CBIR) system is presented by employing 12 distance measurements and three types of visual parameters, undergo optimization through particle swarm optimization (PSO) and Differential Evolution (DE) algorithm. Here after, it is called as image retrieval system (IRS) method for the convenience. Initially, IRS derives three types of features of an image: texture, shape and color. Consequently, for every feature type, the similarity among the others and query image in a database D will be estimated, and it uses suitable distance measurements. To optimize the IRS, the closely optimum permutations among the features, similarity metrics and optimum weights for 3 similarities in terms of 3 types of features are determined. In this paper, we made a performance analysis of the application of PSO and DE algorithms to optimize the parameters in the IRS. At the end, simulation outcome shows that the DE method dominates the other traditional methods.
THE TIME IS ALREADY HERE: Tax Administrations in Digital Evolution

Tax administrations around the world face a new era of digital evolution. Tax policy is one of the most important policies of each country, so the time of new digital challenges cannot be ignored. Tax administrations have a huge amount of information that needs to be safe, confidential and disposed of in accordance with regulations and prescribed procedures. In addition to collecting tax revenues, one of the tasks of the tax administration is to serve taxpayers. In digital era, they try to ease the administrative burden on taxpayers using new technologies. New technologies are also used for the purpose of preventing tax frauds and determining the risk of taxpayers. What kinds of new technologies will be used by tax administrations depends on their estimate, but cannot be overlooked if they want to be efficient in their work. Tax legislation is also faced with new challenges such as the occurrence of crypto currency. The subject of this article is the emphasis on the possibilities of applying new technologies in tax administrations, the relationship between tax legislation and technology, the possibilities of digitization and the consideration of crypto currency issues.
Modeling Security Risk with Three Views

Organizations are responsible for implementing due care, or controls for risk, by calculating the likelihood multiplied by the impact for high-risk threats. Organizations cover their own risk expenditures and they do this independently. However, this may be myopic. We investigate a societal perspective by calculating risk via three models: an individual, organizational and societal view of security at a high level for two issues: ransomware and mobile privacy. For these two issues, we consider fault, responsibility, interdependency and ethics. By considering a more societal and interdependent solution, new or better solutions arise.
High-speed modular reduction device using multiples of module

A hardware implementation of a high-speed device for reducing numbers modulo is considered. We used a modified division algorithm with a shift of the dividend, where at each step n + 3 most significant bits of the dividend, and then the resulting remainders, participate. The shift of the reduced number at each step by three bits to the left towards the higher bits shifted and it makes it possible to speed up the process of reduction in modulus by reducing the number of modular reduction steps. The main unit of the device is a block of partial remainder formers (PRFs), which use subtraction of the P modulus and multiples of the P modulus.
Unraveling the Use of Quantity Maxim among EFL Learners on Online Classroom Interaction

This naturalistic qualitative study is intended to unravelling the working of quantity maxim introduced by Grice (1975) on EFL online classroom interaction amid the Covid-19 pandemic. Besides, this study is designed to investigate whether or not students violating or obeying the quantity maxim by observing and unravelling the utterances produced during online classroom interaction. Moreover, this study also provides factors that influence the non-observance maxim of quantity. The participant consists of 31 students from the fifth semester majoring in English Education at Tidar University. The study is conducted by recording, transcribing, and classifying the conversations done on online classroom interaction, viewed from Gricean maxim perspectives. The results reflect that students both observed and violated the maxim of quantity. The total number of observance maxim is 9, and 14 for the non-observance maxim. This study brings the conclusion that external factors such as unstable internet connection and interference coming from the surrounding environment during the online classroom can cause EFL students to break the maxim of quantity principle. Meanwhile, anxiety as an internal factor plays a crucial factor that leads the EFL students to violate the quantity maxim.
Дуалізм у музично-художньому втіленні образу Азучени в опері «Трубадур» Дж. Верді: технічні рекомендації

The aim of the article is to consider the musical embodiment of the image of the Mother in the dramatic basis of the work, the characteristics of the image, and how the dramatic image of the work depends on the stage image, techniques in performing the opera part, namely analysis on the example Verdi in the performing context. Also, the aim of the article is consideration of the possibilities of voice and techniques for the formation of the image of the Mother in the European opera music of the XIX–XX centuries, the identification of typical features of parallel dramatic lines. The methodology of the article is a combination of the principles of historical-cultural and typological methods, as well as stylistic analysis of performance. The scientific novelty is as follows: in the opinion of the author of the article, in modern studies of opera, two parallel dramatic lines in the image of Azuchena’s opera “Troubadour” by Giuseppe Verdi are not sufficiently studied. In a play, in turn, one dramatic line dominates over another or they act equally, uniting. This is a great challenge for the performer. This article examines the dualism in the musical-artistic embodiment, that is, the unification in one role of the images of Mother and Daughter who coexist in one heroine. Therefore, the performance coverage of this topic significantly complements the musicological theory of opera and its performance aspect. Conclusions. This article reveals the musical and artistic embodiment of dualism in the image of Azuchena in Giuseppe Verdi’s opera The Troubadour; extensive experience of the author’s work on the stage image, vocal difficulties that arise in an inexperienced performer, technical recommendations for party preparation, the ability to master the psychological load are revealed and systematized; the author’s goal was achieved as a singer to pass on his experience to the next generation of performers of the Azuchena part in Giuseppe Verdi’s opera The Troubadour. The practical value of the article is determined by the possibility of using its materials in the class of solo singing, as well as for courses in theory and history of performance in higher and secondary music school. The article is written on the example of the author’s own performance of Azuchena’s party.
Effectiveness of Online Learning During the Covid-19 Pandemic on Economic Subjects in High Schools

The Covid-19 pandemic has an impact on changing learning methods from face-to-face earning to online learning. Learning ctivities that were originally carried out in schools because of the pandemic must be carried out at home. This learning method then made many teachers use various online learning media as an alternative learning method which turned out to cause many complaints from students. The application of online learning due to changes in learning methods is a phenomenon that is studied more deeply by researchers using a descriptive qualitative approach. There are three kinds of data collection techniques used in this research, namely observation, documentation, and the interview. All data obtained by the researcher were analyzed in detail, then the validity of the data was carried out using triangulation technique. The findings of this study indicate that Google Classroom learning platform is preferred by teachers over other learning platforms such as Edmodo, WhatsApp Group, Zoom.us, and Google Meet. Google Classroom learning platform is considered effective by teachers and easily accessed by students so that students can learn independently. Many learning features make it easier for teachers to create, modify, and monitor learning so that learning is more interesting, flexible, and a collection of student assignments can be known in more detail.
Progress in Human Breast Profiling using Shape-From-Shading

Experiments have been undertaken in a continuation of a previously reported investigation into whether useful quantitative breast shape information may be deduced by numerical analysis of a single digital photograph of the breast.The work utilises the principle of extracting shape from image shading, known as shape-from-shading (SfS).The SfS method attempts to deduce surface gradients, and hence shape, across an object, by using the reflectance levels which are apparent in a monochrome digital image of an object.The method requires that the object has smooth physical texture and light even colouring.The significant feature of SfS is its simplicity, as it needs no special equipment, and involves the numerical analysis of a single digital photograph, which may be obtained with a mobile phone.The various features of SfS make it attractive for breast measurement.However, it is theoretically impossible to deduce two parameters of surface slope from one reflectance level, so the method faces difficulties which are prohibitive in many applications.This major theoretical predicament may be overcome by using known surface shape information.The approach which has been investigated here involves obtaining profiles horizontally across the breast centre.This approach, which is feasible because of the regular geometry of the breast, has been proposed previously by the writer.The most recent tests of the technique, including both accuracy tests of the technique on objects of known shape and trials of breast profile measurement, are promising, and suggest that the concept is practicable.Sources of error are discussed.The impetus for further testing and development depends on the prospects of the use of breast information of this type, whether for medical or perhaps apparel purposes.
GPU implementation of restricted Boltzmann machines with application to view classification in sports videos

The objective of this project is to develop a software tool which assists in comparison of a work known as "M-GenESys: Multi Structure Genetic Algorithm based Design Space Exploration System for Integrated Scheduling, Allocation and Binding in High Level Synthesis" with another well established GA approach known as "A Genetic Algorithm for the Design Space Exploration of Data paths During High-Level Synthesis". Two sets of Software are developed based on both approaches using Microsoft visual 2005,C# language. The C# language is an object-oriented language that is aimed at enabling programmers to quickly develop a wide range of applications on the Microsoft .NET platform. The goal of C# and the .NET platform is to shorten development time by freeing the developer from worrying about several low level plumbing issues such as memory management, type safety issues, building low level libraries, array bounds checking, etc. thus allowing developers to actually spend their time and energy working on the application and business logic.
Adopt: A Context-Aware Domain Ontology-Based Framework for Public Transportation

Understanding dynamic environments is a problem that many developers face when developing mobile applications for a particular domain. Dynamic environments can contain large sets of objects, people, and places that have varying characteristics and attributes that are constantly changing. Therefore, understanding all of the domain concepts and their relationships is a challenge for many application developers. To solve this problem an ontology based framework, ADOPT (context-
Design of Enhanced Dynamic Resource Allocation Framework for Heterogeneous Cloud Environment

Cloud is a heterogeneous environment which is used to provide computing infrastructure as a service to the users. Cloud services are delivered to the users based on the demand received from the cloud service users. The best quality of a business model is to satisfy the product demand on time. Cloud is a business model to enable computing infrastructure everywhere. The cloud resources are scheduled and allocated to the users based on the requirement. Resource allocation in cloud computing environment is suffered by lack of improper monitoring, measurement and on time delivery of resources. This may affect the business growth of cloud service providers. This paper proposes an enhanced dynamic resource allocation framework to allocate resources based on the demands as well as cost of the resources to the users. The demand is forecasted based on the previous request repository. Fastcaster analyzes previous demands on different time and predicts future demands. Resources are prepared and to be in a ready state for allocation. The paper also describes the procedure of the proposed dynamic resource allocation technique for efficient allocation of resources in the cloud. The main focus of this framework is to schedule and allocate the resources which are in demand by the users on time also considered cost of the resources. Framework initiates a new paradigm of a single point of service delivery for all cloud services.
Security Issues and Risks for Banking Services under Cloud Computing

In present day time, immense beginnings identified with jumpers working field use the advantages of cloud computing for reducing their operational expense and overseeing data. Notwithstanding, Cloud computing offers different advantages to associations, yet it is an online network system thusly financial organizations like banks consider that this plan relates to the few risk factors. Among different viewpoints data security, protection, legitimate, compliance and regulatory risks are key limitations. Moreover, fast presentation of high expert’s aggressors into this field has scaled up such issue’s everyday into an extreme issue. This paper shows the thought of cloud computing and its offered models. Besides, this paper traces the related risk elements of cloud computing, extraordinarily under financial sectors to help credulous researchers.
IMPROVING STUDENTS 'CONFIDENCE IN SPEAKING THROUGH SIMULATION METHOD

The aim of this study is to improve students' confidence in speaking (Speaking) through Simulation methods for grade 9.1 students at SMP Negeri 3 Pringsewu. This study is a collaborative action research (CAR) with two cycles. Researchers used questionnaires and observations which were then triangulated. The data analysis technique uses a comparative descriptive analysis. After being given treatment in cycle I and II there were 31 (86%) students who had high self-confidence, 3 (8.4%) students of the total number of students who had low self-confidence, and 2 (5.6%) students of the total who still had low self-confidence.
PELATIHAN MENULIS PUISI DENGAN MEDIA GAMBAR PADA SISWA KELAS VII SMP NEGERI KOTA BARU KEFAMENANU

The dedication entitled “The Training of Poetry Writing using picture to Grade Seven of SMPN Kota Baru Kefamenanu”. This activity aimed to provide knowledge and explaination to students in SMPN Kota Baru Kefamenanu about the procedure to create a poetry using picture; improve students' creativity in writing poetry using picture; and motivate students regarding the importance of the writing, and develop literature like poetry. The targets of this dedication activity were 30 students in SMPN Kota Baru Kefamenanu. This training was implemented through two methods, there are communicative method and action method. Communicative method was used to explain the topics like essence of poetry, and how to create poetry. Action method was used to practice writing a poetry based on observation results of the provided picture. The anthusiasm from the participants, the supports from the head masters and co-teachers, and the financial support from LPPM are helpful in accomplishing this dedication. As a result, the ability of students of grade VII in SMPN Kota Baru Kefamenanu in creating a poetry especialy using picture is at medium category with average score 67.