Reviewerly/exHarmony huggingface dataset:
Contracting in The Open Access Age: Unboxing ‘Big Deals’ In Academic Publishing

Since the digitalization of academic publications, subscription to journals had taken the form of access rights to content platforms for users. Despite almost 20 years of open access policies, paywalled papers and subsequently subscriptions are still paramount for the oligopoly of publishing industry in its relations with ever-growing consortia of universities and libraries. Nevertheless, in the last five years, new forms of agreement have been signed, notably including paying open access publishing options. The range of names given to these Big Deals underlines their complexity and diversity: offset agreements, read and publish, publish and read, transformative agreements. Whereas previously subscription agreements included confidentiality clauses on their content, the transparency requirements of some consortia have led to their availability. Thanks to this publicity, we will present a first systematic comparison of more than 50 agreements between big or medium publishers (ACS, Elsevier, Sage, Springer, Wiley, etc.) and European or North American consortia. Drawing on STS approaches, we will first describe the various content of these agreements and the material effects of the reciprocal obligations they define (system of recognition of authors and rights holders, financial payment circuits, monitoring of actual costs, etc.). We will then analyze the expected, hoped for or feared effects of these agreements (tipping point effect for open access, reinforcement of publishers oligopoly, stabilization of APC or subscription prices…) from contrats themselves, monitoring reports and grey literature. Finally, we will discuss how the interactions between agreements as a container vs papers and journals as content are conceived.
Структурно-семантичні особливості скорочень у соціальній мережі Твіттер

The article is devoted to the study of the structural and semantic features of abbreviations in the social network Twitter. The study of the phenomenon of language compression picked linguistic interest of many researchers due to the intensive use of the World Wide Web. The basic principles and concepts of the «new linguistic environment», which have their own linguistic laws, are considered. The article analyzes common wordformation models in writing tweets (short messages on the network), among which the most productive are abbreviations of phrases, acronyms, abbreviations and graphic abbreviations. An empirical corpus analysis of the study suggests that the use of abbreviations on Twitter is extremely common. This leads to the fact that a significant number of messages require a certain decoding, and their interpretation becomes impossible without the appropriate knowledge of abbreviations and acronyms, which have become integral elements of the paradigm of intercultural communication for millions of users around the world.
‘Imaginary Landscape’ Project for a Space Experience Where Reality and Virtuality are Combined

This paper describes an experiment conducted in an effort to realize an 'imaginary landscape' in which the virtual world and reality are integrated through the practice of media arts in actual places. This experiment attempts to create a new space using invisible display technology with transparency by which the virtual world and reality are unified. Reality integrated with the virtual world changes into a conceptual space within an idea, and the space mixed with the world within the idea leads to an imaginary space, a new media-combined space. Interfaces in the high-tech era are not limited to simple two-dimensional visual perception display media but pursue the integration of reality and the virtual realm beyond virtual reality. This phenomenon requires a wide range of technical and artistic integration with various fields and requires practical technicalization and research on applications in multiple fields. In the area of media art, from the perspective of a fusion between science and art, research on practical technologies and experiments in which artistic creations are not divided into a dichotomy are required, and the “imaginary landscape” project was planned as a venue for such media art experiments. Through this study, I would like to examine the artistic meaning of experimental explorations of an invisible screen and media installations in actual environments. During the project, visual experience in the environment is directly presented to the viewer and communicated with the place, thereby creating a multidimensional spatial production. That induces an emotional experience in the individual in a public space, expanding such an experience back into the public space and allowing viewers to experience this type of new space. In an ideological sense, the expansion of place and the perception of space will bring an image of the imagination into reality and motivate an experience of the landscape of the imagination. Through this project, we can look forward to an aesthetic experience of a space to as to stimulate the imagination and realize the objects of the imagination in reality.
Impact of Artificial Intelligence and Social Media Analytics

Artificial intelligence, sometimes referred to as machine intelligence, is fairly new science that has been introduced in the 20th century, even though we can find references of AI from earlier dates. Leading researchers refer to AI as any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. In simpler terms, artificial intelligence refers to machines that imitate cognitive functions that humans correlate with human mind. Humanity, though, has to be careful and draw a line of creation artificial intelligence that is too identical to the human being.
VM Consolidation and Migration for IAAS In Cloud Storage

Cloud computing is capable of handling a huge amount of growing work in a predestined manner for the usage of the business customers. The main enabling technology for cloud computing is virtualization which generalize the physical infrastructure and makes it easy to use and manage. In this project virtualization is used to allocate resources based on their needs and also supports green computing concept. “Skewness” concept is introduced here in which the same is minimized to combine various workloads to improve the utilization of the server. Managing the customer demand creates the challenges of on demand resource allocation. So can implement Virtual Machine (VM) technology has been employed for resource provisioning. It is expected that using virtualized environment will reduce the average job response time as well as executes the task according to the availability of resources. Hence VMs are allocated to the user based on characteristics of the job. The VM live migration technology makes the VM and PM (Physical machine) mapping possible when the execution is running.
CHALLENGES FACING EDUCATIONAL LEADERSHIP AT SAUDI UNIVERSITIES DURING CORONAVIRUS DISEASE 2019

Appears in: ICERI2020 Proceedings Publication year: 2020Pages: 5071-5080ISBN: 978-84-09-24232-0ISSN: 2340-1095doi: 10.21125/iceri.2020.1102Conference name: 13th annual International Conference of Education, Research and InnovationDates: 9-10 November, 2020Location: Online Conference
Research on the Vocabulary Relevancy Algorithm of the Improved Search Engine

Abstract Aiming at the limitation of the existing search engine search algorithm and the low reliability of the derived vocabulary relevancy algorithm, a vocabulary relevancy algorithm based on search engine and vocabulary relevancy algorithm is proposed under the background of making full use of the knowledge base of Hownet. Firstly, the main defects of search engine algorithm are considered in two aspects, meaningless text and redundancy. Then, the two problems are solved by using “Hownet” and DSC algorithm. Finally, the search engine-based vocabulary relevancy algorithm is improved by integrating multiple factors such as weight reduction and noise reduction. Experimental results show that compared with the pure improvement method based on the search engine, the method of spearman coefficient and Pearson coefficient were improved, as well as reduce meaningless language segment on the calculation of correlation, verified the “Hownet”, and DSC algorithm into the search engine algorithm can effectively improve the computing performance of relevant vocabulary.
KLASIFIKASI GAMBAR MENGGUNAKAN METODE K-NEAREST NEIGHBOR

Classification is an important process to recognize and distinguish one thing from another, this can be humans, animals, or plants. This identification is done by recognizing the characteristics that something has. Indonesia has a variety of citrus varieties. These many varieties make it difficult to distinguish one orange variety from another. One way to classify citrus fruits can be done using the k-nearest neighbor method based on images. Image processing focuses on efforts to transform an image or image into another image by using certain techniques. Image processing stage is the first, namely image acquisition. Image acquisition is the initial stage for obtaining digital images. Preprocessing aims to improve image quality. Important things that are done in this process include size transformation, change to gray level, quality improvement (histogram equalization). After the preprocessing process, it is continued with the feature extraction process. Then proceed with the classification process using the k-nearest neighbor method.
EVALUASI KINERJA METODE CLUSTER ENSEMBLE DAN LATENT CLASS CLUSTERING PADA PEUBAH CAMPURAN

Most of the traditional clustering algorithms are designed to focus either on numeric data or on categorical data. The collected data in the real-world often contain both numeric and categorical attributes. It is difficult for applying traditional clustering algorithms directly to these kinds of data. So, the paper aims to show the best method based on the cluster ensemble and latent class clustering approach for mixed data. Cluster ensemble is a method to combine different clustering results from two sub-datasets: the categorical and numerical variables. Then, clustering algorithms are designed for numerical and categorical datasets that are employed to produce corresponding clusters. On the other side, latent class clustering is a model-based clustering used for any type of data. The numbers of clusters base on the estimation of the probability model used. The best clustering method recommends LCC, which provides higher accuracy and the smallest standard deviation ratio. However, both LCC and cluster ensemble methods produce evaluation values that are not much different as the application method used potential village data in Bengkulu Province for clustering.
Development of AR-applications as a promising area ofresearch for students

Abstract. The article substantiates the importance of using augmented reality in the educational process, in particular, in the study of natural and mathematicaldisciplines. The essence of AR (augmented reality), characteristics of AR hardware and software, directions and advantages of using AR in the educationalprocess are outlined. It has proven that AR is a unique tool that allows educators to teach the new digital generation in a readable, comprehensible, memorable andmemorable format, which is the basis for developing a strong interest in learning.Presented the results of the international study on the quality of education PISA(Programme for International Student Assessment) which stimulated thedevelopment of the problem of using AR in mathematics teaching. Within thelimits of realization of research work of students of the Borys Grinchenko KyivUniversity the AR-application on mathematics is developed. To create it usedtools: Android Studio, SDK, ARCore, QR Generator, Math pattern. A number ofmarkers of mathematical objects have been developed that correspond to theschool mathematics course (topic: “Polyhedra and Functions, their properties andgraphs”). The developed AR tools were introduced into the process of teachingstudents of the specialty “Mathematics”. Prospects of research in development ofa technique of training of separate mathematics themes with use of AR have beendefined.
Pengembangan Teknologi ERP Modul Accounting Management Studi Kasus PT DISS (Diamond Indo Satria Sejahtera) SAMPIT

ERP (Enterprise Resource Planning), which helps organizations deal with supply chains, receiving, inventory management, customer order management, production planning, shipping, accounting, human resource management, and other business functions. Accounting Management, which is closely related to the problem of presenting the information needed by an organization. Based on various forms or types of information, one of which is management accounting. ERP for Accounting Management Module is financial accounting presented in general ledger reports, trial balance and profit and loss reports. to find out the problems experienced by the problems because they still use Microsoft Excel in recording and reporting data so it takes a long time. The method in developing this system is by using the Waterfall Method. PT DISS (Diamond Indo Satria Sejahtera) is a company that sells Indosat and Mentari SIM cards as well as M-Tronik credit sales. The problems experienced include managing financial data that still uses Microsoft Excel so that it takes a long time and important documents that have been stored and not managed with the existing system so that if there is a loss or an error computer at any time, all data will be lost and it will take a long time to repeat the data management. Therefore, the system that the researcher will create is a web-based information system that functions as managing general journal financial data, trial balance and profit and loss, reporting sales data. By implementing this information system it is hoped that it can minimize errors and difficulties that have been experienced and help the finance department to search and process data quickly, precisely and without obstacles. The web-based information system uses the Waterfall method and uses the Codeigniter Framework programming language, PHP, Javascript and CSS
TECHNICAL DRAWING AUGMENTED REALITY INTEGRATION IN ACTIVE LEARNING ENVIRONMENT

I. Pazos, X. Garikano, J.A. Oriozabala, I. Martin, M. Iturrate, E. Solaberrieta, X. AmezuaUniversity of The Basque Country (SPAIN)
The Effectiveness of Using Cornell Note-Taking Strategy to Improve Students’ Listening Comprehension

Ika Fitri Ramadhani. 161230011. 2020. The Effectiveness of Using Cornell Note-Taking Strategy to Improve Students’ Listening Comprehension.The research is aimed to know and explain the effectiveness of using cornell note-taking strategy to improve students’ listening comprehension. The population of this research was the first grade students of SMAN Cahaya Madani Banten Boarding School. There were two classes named experiment class and control class, each of which has 30 students. This research used quantitative method with the quasi-experimental as the research design. The instruments used for collecting data were test in the form of multiple choice. The tests were given as the pre-test and post-test of the classes. Both tests were conducted to measure the students’ listening comprehension before and after giving the treatment. The data which was collected was calculated by using T-test in the form of Fisher formula to see how is the effectiveness of using cornell note-taking strategy on students’ listening comprehension. Based on the research analysis, the effectiveness of using cornell note-taking strategy was found in the result of to was 2,9. The value was higher than the value of tt in the significance of 5% in which 2,9>2,00. In addition, the value of to that was 2,9 was also higher than the value of tt in significance of 1% in which 2,9>2,66. Hence, the alternative hypothesis (ha) was accepted and null hypothesis (ho) was rejected. In conclusion, there is an effectiveness of using cornell note-taking strategy on students’ listening comprehension at the first grade students of SMAN Cahaya Madani Banten Boarding School.
Categorical models of Linear Logic with fixed points of formulas

We develop a denotational semantics of muLL, a version of propositional Linear Logic with least and greatest fixed points extending David Baelde's propositional muMALL with exponentials. Our general categorical setting is based on the notion of Seely category and on strong functors acting on them. We exhibit two simple instances of this setting. In the first one, which is based on the category of sets and relations, least and greatest fixed points are interpreted in the same way. In the second one, based on a category of sets equipped with a notion of totality (non-uniform totality spaces) and relations preserving them, least and greatest fixed points have distinct interpretations. This latter model shows that muLL enjoys a denotational form of normalization of proofs.
Field of Junctions.

We introduce a bottom-up model for jointly finding many boundary elements in an image, including edges, curves, corners and junctions. The model explains boundary shape in each small patch using a junction with M angles and a freely-moving vertex. Images are analyzed by solving a non-convex optimization problem using purposefully-designed algorithms, cooperatively finding M+2 junction values at every pixel. The resulting field of junctions is simultaneously an edge detector, a corner/junction detector, and a boundary-aware smoothing of regional appearance. We demonstrate how it behaves at different scales, and for both single-channel and multi-channel input. Notably, we find it has unprecedented resilience to noise: It succeeds at high noise levels where previous methods for segmentation and for edge, corner and junction detection fail.
Mathematical preparation of students for their professional self-realization in modern innovative society

The article analyzes the problems of mathematical university preparation of specialists in the context of their professional self-realization in the modern labour market. The structure of mathematical competence of students is considered, its most important components are substantively described (the ability to ask and answer questions in and with mathematics, the ability to deal with mathematical language and tools). As a result of the first (ascertaining) stage of pedagogical experiment allowed to establish the level of students’ mathematical competence formation according to the specified structure was established. It is proved that students of both mathematical and non-mathematical majors have poor mathematical knowledge and skills for solving problems that require their complex application, in particular, modeling problems in the context of future professional activity. The basic approaches to formation of mathematical competence of students are substantiated: research-oriented teaching; interdisciplinary approach and practical orientation; use of digital learning environments and related tools. The methods of implementation of these approaches are disclosed in the authors’ elective discipline for the students of mathematical specialty “Methods of formation of students’ mathematical competence for the future successful career”. The continuation of the research will be the introduction of the discipline above to the educational process which contains the next monitoring of future teachers’ readiness to use indicated approaches in their professional activity.
Towards Multiparty Computation Withstanding Coercion of All Parties.

Incoercible multi-party computation [Canetti-Gennaro’96] allows parties to engage in secure computation with the additional guarantee that the public transcript of the computation cannot be used by a coercive external entity to verify representations made by the parties regarding their inputs to and outputs from the computation. That is, any deductions regarding the truthfulness of such representations made by the parties could be made even without access to the public transcript. To date, all incoercible secure computation protocols withstand coercion of only a fraction of the parties, or else assume that all parties use an execution environment that makes some crucial parts of their local states physically inaccessible even to themselves.
The experience of distance and virtual teaching in the pandemic period

The pandemic has destroyed all the usual methods of teaching in higher education. Already on March 12, 2020, a decision was made in Ukraine to transfer students and schoolchildren to distance education (DE) or distance learning (DL).Some universities issued orders to organize distance education and left teachers and students to solve the problem on their own. Quarantine has revealed a problem in the educational process that is more difficult to solve than technical deficiencies.
Extracting and Learning Visual Features to Improve Keyword based Web Search

Retrieving and ranking the search result for a search engine is a machine learning problemworth multibillion-dollar. Multimodal learning to rank model is implemented that uses the rich image featuresalong with textual features to rank the webpages. The visual features from images are extracted using pretrainedCNN model, VGG. These visual features extracted using transfer learning along with the textualfeature from LETOR are integrated to train a combined LTR model. The combined LTR model presentedprovided a better loss and accuracy value. The mean average precision value of the ranking of webpages bymultimodal LTR shows an average improvement of 5-10%.
DEVELOPMENT OF COMBINATORIAL THINKING BY MEANS OF NON-STANDARD ARITHMETIC PROBLEMS

Dice and card games formed a significant part of the social life of nobles in the 16th and 17th centuries. This led to a great development of combinatorics and to writing of the first major works in this area (Blaise Pascal, Gottfried Wilhelm Leibniz, Jacob Bernoulli). The arithmetic triangle (Pascal's triangle) played a crucial role in all these works.Both combinatorics and arithmetic are very important components of mathematics education, so it seems to be useful to develope the combinatorial thinking by means of non-standard arithmetic problems. In our paper, we will present several non-standard arithmetic problems requiring combinatorial considerations. Among the others, we recall the problem named Sum and Product Puzzle which was published by Hans Freudethal in 1969. We show the modifications of this problem that can be accessible to pupils of different age groups. We will also show how to use MS Excel during solution of some non-standard arithmetic problems (requiring combinatorial considerations), thus helping to develop digital literacy of pupils. Using two tests, one focused on combinatorics and the other on arithmetic, we conducted research among prospective lower secondary school teachers to determine the dependence between their ability to solve combinatorial and arithmetic problems. We will use Spearmann's rank correlation coefficient for the collected data.
Method for Treatment and its Incidence in the Change of Social Rehabilitation Regime using Neutrosophic Compensatory Logic

Throughout life, people can make mistakes that lead to custodial sentence. When people pay off their debt to society, they join a social rehabilitation regime. Unfortunately, in all cases a complete rehabilitation is not achieved. This research aims to develop a method for the treatment and its impact on changing social rehabilitation regimen. The uncertainty of this process is modeled using compensatory neutrosophic logic. This is an extension of fuzzy compensatory logic to the neutrosophic framework. A case study is implemented from which a group of people undergoing rehabilitation is analyzed to determine their best treatment. As a result, the status of compliance with the main treatment axes was obtained for the different cases analyzed.
SWOT AND SPSS ANALYSIS OF SOFTWARE PROJECTS FOR CREATING PROJECTS

I. Getova1, N. Yanev2 1University of Library Study and Information Technologies (BULGARIA) 2University of Mining and Geology "St. Ivan-Rilski" (BULGARIA)