Reviewerly/exHarmony huggingface dataset:
Uncertainty-Based Adaptive Learning for Reading Comprehension

Recent years have witnessed a surge of successful applications of machine reading comprehension. Of central importance to the tasks is the availability of massive amount of labeled data, which facilitates the training of large-scale neural networks. However, in many real-world problems, annotated data are expensive to gather not only because of time cost and budget, but also of certain domain-specific restrictions such as privacy for healthcare data. In this regard, we propose an uncertainty-based adaptive learning algorithm for reading comprehension, which interleaves data annotation and model updating to mitigate the demand of labeling. Our key techniques are two-fold: 1) an unsupervised uncertainty-based sampling scheme that queries the labels of the most informative instances with respect to the currently learned model; and 2) an adaptive loss minimization paradigm that simultaneously fits the data and controls the degree of model updating. We demonstrate on the benchmark datasets that 25\% less labeled samples suffice to guarantee similar, or even improved performance. Our results demonstrate a strong evidence that for label-demanding scenarios, the proposed approach offers a practical guide on data collection and model training.
Evaluations of Distributed Computing on Auto-Scaling and Load Balancing Aspects in Cloud Systems

Distributed computing is widely used and applicable to the variety of applications nowadays. Information technology resources for making the applications are different for your business and can change the customer experience than administering systems. With the help of cloud, availability of resources can be made whenever needed. It results in sending a huge number of requests in a fraction of time. The cloud makes it basic and snappy to get a broad extent of advancement. For instance, register, storing, information bases, assessment, artificial intelligence and various organizations subordinate upon the requirement. Subsequently, the new applications can be made easily and further tested for improvement or changes at a rapid pace. The cloud allows you to deal with resource disbursement (physical, data centers server, etc) at lower expenses as you have to pay only for the resource usage. In this paper, the Amazon web services (AWS) has been used for the evaluation purpose. It offers a variety of services to more than 165 featured organizations. Two performance based factors namely; auto-scaling and load balancing on the cloud platform have been evaluated in this work.
Carlo Revelli e i suoi studi sulla soggettazione e la catalogazione

Carlo Revelli dealt with subjecting, classification, descriptive cataloging, and almost all the library topics; he published 336 contributions described in the bibliography of his writings (1950-2006; to be updated). The collaboration with “Biblioteche oggi” was particularly intense. The series Osservatorio internazionale is one of the jewels of Italian librarianship thinking, with an attentive and critically informed look on experiences and reflections in the international arena. The essay focuses on Revelli’s studies on subjecting and cataloging, themes dealt with mainly in Il catalogo per soggetti, and in Il catalogo. The essay highlights the modernity of Revelli’s thought and terminology, which probably depended on his ability to perceive the fundamental novelties of the context of international studies. Revelli was a great scholar and a great librarian, for a long time director of the Turin public libraries: he was able to harmoniously develop the relationships between these different ways of his cultural and professional commitment. The distinctive feature of his figure, and his work, has always been the interest in cataloging, linked with the service to the public, theory with practice, tradition with social and technological changes, and their implications on the librarianship level.
PERSONALITY TRAITS BASED ONLINE LEARNING

Collaborative learning affects with lot of factors like students personality, their interaction patterns,learning styles etc. Grouping of students is one of the important factors. It is important to arrange groups byskills and/or backgrounds. Hence it is noteworthy to create groups based on specific skills of students. Generallythe students can be randomly grouped or grouped themselves. But this method of grouping students based oncertain features like personality, interaction patterns and learning styles can improve the efficiency ofcollaborative learning. The students data can be collected from social networking site like Facebook. Thepersonality of each student can be identified by comparing the individuals chat history with psycholinguisticdatabases like MRC and LIWC The main objectives of this paper are to identify the students personality. Basedon that, the group of students can be formed using k-means clustering algorithm.
ОСОБЛИВОСТІ ФОРМУВАННЯ ПРОЕКТНО-ТЕХНОЛОГІЧНОЇ КОМПЕТЕНТНОСТІ ЗАСОБАМИ 3D-МОДЕЛЮВАННЯ

The modern world society is on the threshold of total digitalization of all spheres of human activity. As a result, the process of digitalization has become widespread at the beginning of the 21st century. Ukraine does not stand aside from these processes. She joined the process of digital transformation. The Cabinet of Ministers of Ukraine approved the Concept for the Development of the Digital Economy and Society of Ukraine for 2018–2020. Digitalization provides for the saturation of the physical world with electronic-digital devices, means, systems and the establishment of electronic communication between them. Readiness to use information and digital resources in professional activities over time becomes decisive for the industry. The number of jobs in Ukraine that require employees to have at least a basic understanding of information and communication and digital technologies is growing rapidly. The ability to use modern technology is becoming one of the main requirements for staff. There is a problem of reviewing the competencies that must be formed in students in accordance with the requirements of the time. One of such competencies is design and technology. Therefore, in the article we focused on the problem of forming project-technological competence in students by introducing 3D-modeling in the educational process of technical, physical-mathematical and natural sciences. 3D-modeling software allows you to transform ideas into models that can be used in teaching, design, architecture, cinema and many other areas of human life. Today, there are many programs used for 3D-modeling. They differ in the degree of complexity and the functionality required for the task.To ensure the formation of design and technological competence in the educational process, we propose to use the program Blender version 2.82a. We offered an example of practical work «Transparent vase and fabric simulation» performed using the Blender program. We have described in detail the stages of creating an object. We have developed elements of the methodology of formation of design and technological competence during the implementation of 3D-modeling. Its contribute to the renewal of the content of education and educational technologies, which aligns them with the modern needs of society. Total digitization of all areas of human activity outlines the prospects for further development in the direction of improving the organization of the educational process.
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language

Facial expressions are important parts of both gesture and sign language recognition systems. Despite the recent advances in both fields, annotated facial expression datasets in the context of sign language are still scarce resources. In this manuscript, we introduce an annotated sequenced facial expression dataset in the context of sign language, comprising over $3000$ facial images extracted from the daily news and weather forecast of the public tv-station PHOENIX. Unlike the majority of currently existing facial expression datasets, FePh provides sequenced semi-blurry facial images with different head poses, orientations, and movements. In addition, in the majority of images, identities are mouthing the words, which makes the data more challenging. To annotate this dataset we consider primary, secondary, and tertiary dyads of seven basic emotions of sad, surprise, fear, angry, neutral, disgust, and happy. We also considered the None class if the image's facial expression could not be described by any of the aforementioned emotions. Although we provide FePh as a facial expression dataset of signers in sign language, it has a wider application in gesture recognition and Human Computer Interaction (HCI) systems.
ГИБРИДНЫЙ ПОДХОД К УПРАВЛЕНИЮ ПРОЕКТАМИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ БИЗНЕСА

The transition to the digital economy, the intensification, and globalization of the business digital transformation trend influence the changes and the possibility of applying many traditional technologies and methodologies, including project management. Managing business digital transformation projects faces many challenges and issues, taking into account the fact that digital transformation is a constant process. The paper presents the analysis of the application of the traditional, agile, and hybrid approaches to project administration. The author analyzes the advantages and disadvantages of the existing approaches to project management and proposed using a hybrid approach to manage business digital transformation projects as one of the principal management tools while forming a digital transformation project management strategy. The paper considers the methodological support for project management and proposes the options for implementing a hybrid approach. The author developed the system for evaluating projects, which is based on the existing estimation models and takes into account the specifics of business digital transformation projects and the recommendations and explanations stated by the PMI experts in the Agile ruling documents. The proposed evaluation system will simplify the process of selecting the most efficient combination of the traditional and agile approaches, which is necessary to increase the manageability of the processes of developing the products and solutions in the sphere of digital transformation. The proposed criteria system can be used as an element of the knowledge subsystem of a project team and a project office that will significantly simplify and speed up the management decision-making process and make it more clearly arranged.
A New Robust Copy Move Forgery Detection Method

One of the passive image authentication methods, copy move forgery detection has become an important research area. In this study, a robust forgery detection method was proposed considering the attacks that can be applied to the image. In the method, suspicious source and target regions are detected by matching SIFT keypoints extracted after obtaining the texture information of the image. The feature vectors of the image sub-blocks are obtained by using DCT-phase to detect forged pixels within these regions. The fact that the corresponding blocks have similar feature vectors indicates that the pixels in the block are forged. In the performance analysis, online dataset named GRIP was used and compared with popular studies in the literature.
Сетевые возможности приграничных библиотек: разнообразие взаимоотношений

The article considers the cultural and educational tasks of border libraries: preservation of tradition, formation of the positive attitude to the inhabitants of neighbouring states, interest in the culture of another people. The author defines a new historical situation in which the border library workers use forms and methods that allow not to lose cultural and book heritage, which was created by many years of mutual enrichment, to use the possibility of modern communications for the development of the humanitarian component of the cultural process: network communication, social networks, new formats of library services.
EDITOR'S NOTE: ARTICLES IN THE BULLETIN OF THE NKMZ WILL RECEIVE DOI

The editorial Board of the scientific journal "Bulletin of NMS" to announce to all our readers and au-thors that we have reached a basic agreement on the assignment of the articles of our journal unique numbers DOI via CrossRef system on the basis of the placement issues of the journal in the electronic library system of the Central scientific library named after N. And. Zheleznova RGAU-ICCA them. K. A. Timiryazev.
Let’s (be) play(ed by) an ocean : Of situated actions within ecological sound art

This chapter investigates participatory sense-making within ecological sound art. The field links to “a broader set of cultural practices in which the imperial power of ‘the human’ over the rest of the world is shifting in favor of what we might call a more eco-systemic engagement” (Hogg, 2013). In summer 2018, the project sent poet Gunnar D. Hansson, composer Anders Hultqvist and ecological sound artists Halla Steinunn Stefansdottir and Stefan Ostersjo on a search for the sounds of the book Tapeshavet (Hansson, 2017), through the artistic method of activation. This chapter analyses the processes of such participatory sense-making, which springs out of an ecological-enactive approach. Based on this the author puts forth and argues for the concept of multi-entity performance (Rawlings, personal communication, May, 2019; Stefansdottir, 2019a) as a technique as well as analytical and conceptual stance, thus showing through doing that the ecological-enactive approach has the power of “providing one with new tools and technology and new understandings of processes, in any musical environment and its collaborative creativity, where things happen in the connection” (Stefansdottir, 2019b). (Less)
Large Scale Land Acquisitions in Nigeria: To What Extent Do Property Rights Matter for Economic Development?

From 2008 onwards, developing countries have seen a surge in acquisitions of large areas of agricultural land by international investors. If local farmers have secure property rights and services that support business are available, positive spillover from the acquisitions is expected to drive up the size and value of their parcels. Otherwise, it could lead to conflict and land grabbing. This article studies the effects of such acquisitions in Nigeria by focusing on diverse legal- institutional factors observed across the country. It shows that (1) even if the acquisitions create a short term shock, they can be beneficial later on and that (2) protection of property rights on the ground can bring long term benefits, while their formal recognition helps only in the short term.
واقع استخدام تطبيقات الهواتف الذکية في تعليم اللغة العربية للناطقين بلغات أخرى في معهد تعليم اللغة العربية لغير الناطقين بها بالجامعة الإسلاميةمن وجهة نظر المعلمين.

هدفت هذه الدراسة إلى التعرف على واقع استخدام تطبيقات الهواتف الذکية في تعليم اللغة العربية للناطقين بلغات أخرى في معهد تعليم اللغة العربية لغير الناطقين بها بالجامعة الإسلامية من وجهة نظر المعلمين، ولتحقيق هذا تم استخدام المنهج الوصفي التحليلي، وتکونت عينة الدراسة من (60) معلم وعضو هيئة تدريس في معهد تعليم اللغة العربية لغير الناطقين بها بالجامعة الإسلامية ، وتم اختيارهم بطريقة عشوائية، واستخدمت الاستبانة کأدوات لجمع البيانات، تم تحليل بيانات الدراسة باستخدام مجموعة من الأساليب الإحصائية هي: المتوسطات الحسابية، الانحرافات المعيارية، معامل ارتباط بيرسون، معامل ألفا کرونباخ، واحتبار(ت) للعينات المستقلة وأظهرت نتائج الدراسة أن أعضاء هيئة التدريس في معهد تعليم اللغة العربية لغير الناطقين بها بالجامعة الإسلامية وافقوا بدرجة متوسطة على توظيف الهواتف الذکية في تدريس اللغة العربية، وتوجد فروق ذات دلالة إحصائية عند مستوى دلالة (05,0) في استخدام تطبيقات الهواتف  الذکية في تعليم اللغة العربية للناطقين بلغات أخرى تعزي لمتغير الدرجة العلمية (معلم – عضو هيئة تدريس)، وذلک لصالح أعضاء هيئة التدريس، ومتغير التخصص (تربوي – غير تربوي)، وذلک لصالح الحاصلين على مؤهل تربوي، و متغير الدورات التدريبية (حاصل على تدريب - لم يحصل على تدريب)، وذلک لصالح الحاصلين على تدريب، ومتغير الخبرات التدريسية (5) سنوت إلى (10) سنوات - أکثر من (10) سنوات)، وذلک لصالح الخبرات التدريسية أکثر من (10) سنوات).This study aimed to identify the fact of using smart applications in teaching Arabic to speakers of languages at Institute Of Teaching Arabic To Non Native Speakers In Islamic University Teachers ’point of view, To achieve this objective, the analytical descriptive methodology was used. The study sample consisted of (60) Teacher and Faculty member at Institute Of Teaching Arabic To Non Native Speakers In Islamic University, and the questionnaire was used to collect search data, and the study data were analyzed using a set of statistical methods: Arithmetic Averages, Standard Deviations, Reliability Analysis Scale, Coefficient Of Person Correlation,   Independent Sample T-Test, The results of  the study indicated that hat the faculty members of Institute Of Teaching Arabic To Non Native Speakers In Islamic University They agreed with a moderate degree to employ smartphones in teaching Arabic, There are statistically significant differences at the level of (05,0) in the use of smart phone applications in teaching Arabic to speakers of other languages due to the degree variable (teacher - faculty member), in favor of faculty members, and the specialization variable (educational - non educational), for the benefit of those with an educational qualification, and the training course variant (with training - no training), for the benefit of those with training, and the teaching experience variable (5) years to (10) years - more than (10) years ), In favor of teaching experiences of more than (10) years.
Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) with Vikor method for evaluation of student performance / Ahmad Hisyamuddin Abd Rahman

Education is the key to success in life and it allows individuals and society to progress socially and economically. The quality of education is assessed through the way students live and process of their learning in the university. There are two important processes to make sure the quality of students learning which are their academic and the involvement in university. Therefore, the Analytic Hierarchy Process, Fuzzy Analytic Hierarchy Process and VIKOR method, a decision-making instrument was constructed in this project that focuses on the selection process to calculate and to rank the most successful student in the university. In this research, three important main criteria and several sub-criteria have been considered, the main criteria which are academic, club involvement and participation. The weighting of each criterion and sub-criteria were calculated by using the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) method. The results will be rank by using Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR method).
PERAN GURU KELAS UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA DI SEKOLAH DASAR

This study aims to describe: 1) the problem of students’ learning motivation in primary school; 2) the role of classroom teachers to improve students’ learning motivation in primary school. This research includes quantitative research, with the type of library research. Based on the data source, research data is divided into primary and secondary data. Primary data is the main reference data collected by researchers from relevant scientific sources such as scientific journals. Meanwhile, secondary data is data collected from other sources that are not obtained from primary sources and is complementary in nature, such as relevant books. The data collection technique is done by tracing and reviewing various literature related to research. In this study, the analysis technique used by the Miles & Huberman model, namely data reduction, display data, and conclusion drawing / verification. The results showed that there were problems which showed that students’ learning motivation was still low. As for the learning conditions of students when learning takes place in class, some are sleepy; book scribble or draw your own; chatting with classmates; daydreaming when the teacher explains the subject matter; desire / drive and low interest in learning. Students look bored with the monotonous way of learning, where students only listen and take notes. Students also seem less motivated in the teaching and learning process carried out by the teacher. When studying, students look gloomy, less enthusiastic, and less enthusiastic about learning. Students find learning boring. Classroom teachers have an important role in improve students’ learning motivation. Good and intense motivation from the classroom teacher will stimulate students to have better learning readiness. Good learning readiness will make it easier for students to take part in learning actively, so that they are easy to absorb the subject matter delivered by the teacher. In the end, learning motivation will have an indirect impact on the achievement of student learning outcomes itself.
qgs: A flexible Python framework of reduced-order multiscale climate models

&amp;lt;p&amp;gt;In atmospheric and climate sciences, research and development is often first conducted with a simple idealized system like the Lorenz-&amp;lt;em&amp;gt;N&amp;lt;/em&amp;gt; models (&amp;lt;em&amp;gt;N &amp;amp;#8712;&amp;lt;/em&amp;gt; {63, 84, 96}) which are toy models of atmospheric variability. On the other hand, reduced-order spectral quasi-geostrophic models of the atmosphere with a sufficient number of modes offer a good representation of the dry atmospheric dynamics. They allow one to identify typical features of the atmospheric circulation, such as blocked and zonal circulation regimes, and low-frequency variability. However, these models are less often considered in literature, despite their demonstration of more realistic behavior.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;qgs&amp;lt;/strong&amp;gt; (Demaeyer et al., 2020) aims to popularize these systems by providing a fast and easy-to-use Python framework for researchers and teachers to integrate this kind of model. The documentation makes it clear and efficient to handle the model, by explaining the equations and parameters and linking these to the code.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The choice to use Python was specifically made to facilitate its use in Jupyter Notebooks and with the multiple recent machine learning libraries that are available in this language.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this talk, we will present the modeling capabilities of &amp;lt;strong&amp;gt;qgs&amp;lt;/strong&amp;gt; and show its usage in a varieties of didactical and research use cases.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Reference&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Demaeyer, J., De Cruz, L., &amp;amp; Vannitsem, S. (2020). qgs: A flexible Python framework of reduced-order multiscale climate models. Journal of Open Source Software, 5(56), 2597, https://doi.org/10.21105/joss.02597 .&amp;lt;/p&amp;gt;
PSYCHOLOGICAL EFFECT OF THE PROTAGONIST IN EMMA DONOGHUE’S NOVEL ROOM

Research about psychology always become an  interesting topic, because there are many psychological  condition, especially in the novel Room by Emma donoghue.Those are psychology, the relation between psychoanalysis and literature,protagonist and characterization.In this study analyzed kind of psychological effect to the protagonist ,include Social Anxiety Disorder and Posttraumatic Stress Disorder.Jack, a boy that has been locked in his whole life in the narrow room in which only a few boy has an experienced like him  .In this novel, Jack only knows his mother, Joy or the so called Ma-the only human living in this world.he never knows if there are many people outside of the room.Therefore, when Jack does to get out of the room by running,he is extremely shocked and could not believe that Ma is not the only person in the world.This study was done by using a qualitative research with library study.Qualitative research used to describe fact qualitatively.