Reviewerly/exHarmony huggingface dataset:
A Privacy Preserving Anonymization Approach using Scalable Top Down Specialization and Randomization for Big Data Security

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity

Joint learning of words and entities is advantageous to various NLP tasks, while most of the works focus on single language setting. Cross-lingual representations learning receives high attention recently, but is still restricted by the availability of parallel data. In this paper, a method is proposed to jointly embed texts and entities on comparable data. In addition to evaluate on public semantic textual similarity datasets, a task (cross-lingual text extraction) was proposed to assess the similarities between texts and contribute to this dataset. It shows that the proposed method outperforms cross-lingual representations methods using parallel data on cross-lingual tasks, and achieves competitive results on mono-lingual tasks.
Engineering discontinuous quantum phase transitions for weak signal detection (Conference Presentation)

We introduce a first-order quantum-phase-transition model, which exhibits giant sensitivity χ∝N2 at the critical point. Exploiting this effect, we propose a quantum critical detector (QCD) to amplify weak input signals. The time-dynamic QCD functions by triggering a first-order dynamical quantum phase transition in a system of spins with long-range interactions coupled to a bosonic mode. We numerically demonstrate features of the dynamical quantum phase transition, which leads to a time-dependent quantum gain. We also show the linear scaling with the spin number N in both the quantum gain and the corresponding signal-to-quantum noise ratio of this QCD. Our QCD can be a resource for metrology, weak signal amplification, and single photon detection.
Creative activities as a form of activity optimization of students - choreographers

Purpose of Article. To examine creative activities (contests, festivals, concerts) as an effective form of optimizing the activity of students – future choreographers. The methodology of the research lies in applying systematic approach to revealing the issues of creative activities as an effective form of students – choreographers’ activity optimization. Scientific novelty explains the further determination of gaps in the topic of research of creative activities as an effective form of optimization, which can be considered as technologies of the newest conception, that is, the orientation to the final result. Conclusions. The activity is considered by modern scientists as priority precondition for creative education. It is the creative events that encourage students, the future choreographers to activity in order to become a self-forming personality as professional artists. The student will turn the acquired creative and professional-plastic skills to the discourse of a career promotion, which will direct him to the stability of the results in solving practical tasks, learning and chorographical activities.
The Effectiveness of Cooperative Integrated Reading and Composition (CIRC) Technique on Students’ Reading Comprehension: A Study at the Grade Seven of MTsN Koto Baru Junior High School, West Sumatera, Indonesia

Indonesian junior high school students have been asked by the Indonesian Ministry of Education and Culture to understand various English texts effectively.However, reading comprehension has been considered a major issue in the Indonesian EFL context including in the junior high schools.Therefore, in an attempt to comply with the required criteria above, this paper proposed a possible solution to cope with Indonesian students' reading comprehension issue.In this sense, CIRC was proposed as a treatment to enhance Indonesian junior high school students' reading comprehension.Specifically, this research attempted to measure the effectiveness of CIRC technique on students' reading comprehension at grade seven of a junior school located in West Sumatera, Indonesia namely the MTsN Koto Baru Junior High School.Accordingly, the study employed quantitative methodology, specifically the quasi-experimental design which compared students' pre-test and post-test to measure the effectiveness of CIRC toward students' reading comprehension.The different result between the pre-test and post-test was tested using the paired sample t-test, which was found that students' scores on pre-test (before treatment) was lower than post-test (after treatment).Thus, it could be inferred that CIRC was effective to increase students' reading comprehension.
Smartglasses in the Sterile Supply Process

The presented demonstrator showcases the potential of augmented reality (AR) smartglasses in the sterile supply chain. In the scope of the project "Smartglasses in der Sterilgutver-sorgung", we developed an application to investigate on the applicability of smartglasses and AR paradigms during the reprocessing of used operational tools. The demonstrator was developed and tested using the iterative user-centered approach involving actual employees of the respective domain.
MopDop � A Device for Deaf, Speech Disorder, Patients and Old Age Peoples

Independency is the putting up blueprint in attaining fantasy, final cause, and destination in life. Deaf persons find challenging to go out independently. In this world of busy people's lots of deaf peoples in counting of millions are eternally in need of helping hands or use their sign language to make communication. American Sign Language or chirognomy becomes a conventional trait for disabled populations. Deaf peoples have big problems when they have to communicate with others or they are at new place. The MopDop will help them by providing more convenient means of life and a new device to share their views. The final cause of writing this paper is to forward my knowledge and services to the peoples of deaf society.
Managerial Structure of Editorship: Functions and Purposes

In the article the author considers collective and personalized forms of management of the editorial staff. In the author’s opinion, in the modern editions the administrative link of the edition is subject to constant changes and searches. It all depends not only on the quantitative composition of the editorial board, but also on the management tasks ahead for the leadership of the publication. What is the model of management the most preferable in modern conditions? What are administrative tasks of editorial management? What functional roles do they play? These are the primary issues that the author tried to answer in this article. The primary research objective of this project is the determine the main functions of collegial and personalized subjects of management, on which the success of the editorial team mainly depends. In the modern edition, management functions can be performed collegial bodies (editorial board, secretariat) as well as by personalized persons (editor-in-chief, Executive Secretary, etc.). They can perform their regulatory functions through the principles of directive, regulation and normativity. The author appeals to the analysis of domestic media experience in the field of editorial management, to show how these principles are put into practice.
A Simple RBAC And SSO Architecture for ISONER Framework

Nowadays, IM has become an increasingly popular application platform and has begun to be used for database access services. IM has been mostly used for robotic services with keyword-based interactions and natural languages. The publication of ISONER framework has become the starting point of the latest breakthrough that enables the information system access services to be provided on IM platform. An architecture model is proposed in this present study to manage users' access rights (RBAC) and SSO on ISONER platform.
Study on the Evaluation Index of Cadet’s Physical Training Based on the Entropy Weight

This paper studies the principle and method of the entropy weight and fuzzy comprehensive evaluation method applied in the assessment of students’ physical training comprehensive evaluation. The paper focuses on the standardized evaluation matrix, as well as the combination of subjective and objective weights to get synthesis weights and other aspects, and introduces the application of the method in the cadet training evaluation comprehensive performance.
Developing Peripheral Learning Material to Improve Students’ Vocabulary for The Fifth Grade of Elementary School

This study aimed at developing peripheral learning material in an attempt to improve fifth grade students’ vocabulary. This study used ADDIE model proposed by McGriff to develop the product. The stages used were (1) Analyze, (2) Design, (3) Develop, (4) Implement, and (5) Evaluation. Based on the result of need analysis it can be concluded that the peripheral learning material produced was in the form of poster that contained word, picture and simple sentence by concerning the criteria of the good material and poster. The interview guide and questionnaire were used in this stage as the instruments. After analyzing the needs, the product was design by making the blueprint, draft, illustration as well as inserting the word and sentences. The product was revised and developed in the development stage. Furthermore, the product was implemented in limited trial by attaching the poster around the class, conducting the first observation, changing the poster, and conducting the second observation. The response of the students and the teacher were gained by using the questionnaire and the interview. In order to check the quality of the product, the expert judgement sheet was used as the instrument. From both of expert judges it can be categorized that the product was excellent product.
Face Recognition Method Based on Enhanced Edge Cosine Loss Function and Residual Network

At present, the loss function in the deep convolutional neural network (CNN)can not make the face feature reach the ideal feature classification criteria, that is, maximizing the inter-class difference and minimizing the intra-class difference. Therefore, a face recognition method based on enhanced edge cosine loss function(EECL) and combined residual network(ResNet) is proposed. The RestNet used in this paper is based on the EECL. By normalizing and maximizing the cosine decision boundary, it can realize the maximization of inter-class differences and the minimization of intra-class differences more effectively, enhance the discriminant ability, make the face features more distinguishable, and thus improve the the recognition rate of the face. Through a large number of analysis and experimental verification, the proposed method has a face recognition accuracy of 99.40% on the Labeled Face in the Wild(LFW) face dataset, 72.602% and 85.420% respectively in MegaFace face recognition task and face verification task, indicating the effectiveness of the method.
ILRA: Novelty Detection in Face-Based Intervener Re-Identification

Transparency laws facilitate citizens to monitor the activities of political representatives. In this sense, automatic or manual diarization of parliamentary sessions is required, the latter being time consuming. In the present work, this problem is addressed as a person re-identification problem. Re-identification is defined as the process of matching individuals under different camera views. This paper, in particular, deals with open world person re-identification scenarios, where the captured probe in one camera is not always present in the gallery collected in another one, i.e., determining whether the probe belongs to a novel identity or not. This procedure is mandatory before matching the identity. In most cases, novelty detection is tackled applying a threshold founded in a linear separation of the identities. We propose a threshold-less approach to solve the novelty detection problem, which is based on a one-class classifier and therefore it does not need any user defined threshold. Unlike other approaches that combine audio-visual features, an Isometric LogRatio transformation of a posteriori (ILRA) probabilities is applied to local and deep computed descriptors extracted from the face, which exhibits symmetry and can be exploited in the re-identification process unlike audio streams. These features are used to train the one-class classifier to detect the novelty of the individual. The proposal is evaluated in real parliamentary session recordings that exhibit challenging variations in terms of pose and location of the interveners. The experimental evaluation explores different configuration sets where our system achieves significant improvement on the given scenario, obtaining an average F measure of 71.29% for online analyzed videos. In addition, ILRA performs better than face descriptors used in recent face-based closed world recognition approaches, achieving an average improvement of 1.6% with respect to a deep descriptor.
FORMING OF THE SCIENTIFIC AND INNOVATIVE POTENTIAL OF A UNIVERSITY: FOREIGN CITIZENS IN RUSSIAN POSTGRADUATE STUDIES

The article analyzes the main indicators of the activities of the Russian postgraduate studies in the period from 2014 to 2018, analyzes the dynamics of the number of organizations involved in postgraduate training. One of the criteria for raising the status of a higher education at the international level is the development of academic mobility of students. Since 2014, the increase in the number of foreign citizens in universities has been significantly growing. This entails the need to introduce and implement measures to revise organizational policies regarding the activities of the postgraduate departments of higher educational institutions. The article provides the reasons why foreign citizens choose Russia postgraduate programs, what was revealed by means of a survey. The organization faces difficulties, mainly due to flaws in the organization of scientific and educational activities of foreign postgraduates. Academic mobility, as an indicator that brings the university to a new quality level, requires special attention. The efficiency of postgraduate studies as per the existing methods does not take into account the peculiarities of training foreign postgraduates. According to the analysis of official ranking agencies, the leading universities in Chelyabinsk were identified and analyzed as per four key criteria of the efficiency of postgraduate studies. The results of the analysis emphasized the need to revise the organizational policy of an educational institution in terms of the activities of the postgraduate department. Attention is focused on the key problems of the head of an educational organization and suggests appropriate solutions to problems. As an additional criterion for assessing the efficiency of the postgraduate study activity in the framework of the development of academic mobility, an additional indicator “Accessibility of Postgraduate Education for Foreign Citizens” has been proposed and considered.
SISTEM PENDUKUNG KEPUTUSAN PENERIMA DANA DESA DENGAN MENGGUNAKAN METODE PROMETHEE DI KECAMATAN GODEAN KABUPATEN SLEMAN

Decision support systems for village funds were used to assist the head of the Community and Village Empowerment Agency in deciding the priorities of recipients of village funds. Village funds can be used for the purposes of financing governance, development and community empowerment. The method used in designing and making this application is the PROMETHEE method for ranking the priorities of village fund recipients in sleman district. Village funds are funds originating from the APBN intended for villages that are transferred through the APBD and used to finance the administration, implementation, development, community development, and empowerment of village communities. The purpose of this study is to develop a decision support system that can be used by regional heads as a tool to assist in the selection of priority recipients of village funds to be given funds. Based on calculations using the Promethee method, the results obtained ranking with the highest net flow value of 0.292 namely A4 so that the village of Sidokarto will be the priority of the recipient of village funds in the district Sleman Keywords : Village Funds , Decision Support System , Promethee
Teaching Reform and Practice in the Course of Plant Tissue Culture

Plant Tissue Culture is an important comprehensive course in plant protection, biotechnology and biological sciences. Because the course is complex, descriptive and abstract, students often feel boring and difficult to understand the contents. In the teaching practice of the course, the teaching content can be enriched with the addition of micro-video teaching in a timely, increasing the interest and knowledge of the course. In addition, the enthusiasm of the students to listen to the class will be fully mobilized, and enhancing students' understanding and mastery of the relevant professional knowledge of the course. The advantages of micro-video teaching were summarized in this paper, and some problems that should be paid attention to when applying micro-video teaching were also pointed out. The results in this paper will lay a theoretical foundation for further application and promotion of this method.
Machine Listening as a Generative Model: Happy Valley Band

Author(s): Kant, David | Advisor(s): Polansky, Larry | Abstract: ORGANVM PERCEPTVS is a collection of 11 songs for mixed ensemble written by translating machine listening analysis of pop songs into musical notation. Motivated by the idea that analysis algorithms inherently carry the values of the communities that produce them, I see my compositional process as a way of understanding how musical ideas, beliefs, preferences, and aesthetics are embedded within analysis algorithms. The musical scores are overly-specific, complex, and brimming with the artifacts of the machine listening process, and I formed a dedicated ensemble, the Happy Valley Band, to develop a performance practice unique to the idiosyncratic music. This dissertation essay documents the analysis algorithms used, my compositional process, the performance practice developed, the process of recording and releasing an album of music, and the public reception. I discuss my compositional ideas in the context of a number of twentieth century aesthetic traditions, including plunderphonics and sampling, computer analysis driven composition, and complexity in computer-assisted composition. I see this project as relevant to emerging cultural concerns of algorithmic bias and discrimination, and I relate my experience to contemporary dialogues around digital automation.
AN ALTERNATIVE MATRIX TRANSFORMATION TO THE <i>F</i> TEST STATISTIC FOR CLUSTERED DATA

Abstract For the regression analysis of clustered data, the error of cluster data violates the independence assumption. Consequently, the test statistic based on the ordinary least square method leads to incorrect inferences. To overcome this issue, the transformation is required to apply to the observations. In this paper we propose an alternative matrix transformation that adjusts the intra-cluster correlation with Householder matrix and apply it to the F test statistic based on generalized least squares procedures for the regression coefficients hypothesis. By Monte Carlo simulations of the balanced and unbalanced data, it is found that the F test statistic based on generalized least squares procedures with Adjusted Householder transformation performs well in terms of the type I error rate and power of the test.
A Conceptual Analysis and Review on Cloud Computing Data Security: Challenges and its Solutions

Cloud computing is one of the most developing technology in computing. It gives so much benefit to users. But still it has many different security issues and challenges. In this paper we explore some major issues and challenges of cloud computing in multi-tenant environment, and prefer some useful techniques and methods to overcome the challenges and issues in cloud. As we know that now a days business fully depends upon cloud, cloud uses in any business directly or indirectly and if any data threat or leakage has happened, that will affect the business on daily basis. Leakage of data or threats of data can break the trust of cloud users that is why it is very important that cloud companies give special attention on the cloud security issues.So here I am discussing some suggestion on the basis of review to avoid data security issues in cloud computing.
Responsive and Self-Expressive Dialogue Generation

Generic responses frequently generated by neural models are a critical problem for user engagement in dialogue systems.For a more engaging chit-chat experience, we propose a response generation model motivated by the interpersonal process model for intimacy.It generates responsive and self-expressive replies, which are implemented as domainawareness and sentiment-richness, respectively.Experiments empirically confirmed that our model outperformed the sequenceto-sequence model; 68.1% of our responses were domain-aware with sentiment polarities, which was only 2.7% for responses generated by the sequence-to-sequence model.
Sounding the Truth in Academic Writing

The article purposes to describe some problems of ethical issues of writing for academic paper as part of academic responsibility.The dissemination of academicswriting do through international journals.There are some several reasons, such as enhancing personal and university level, widening networking, implementing a better academic atmosphere, and academic work.However, Indonesia academics are still have some problems in academic work especially writing international journal, such as lack of ability in writing and low research.This case study was conducted qualitatively in 2017 with data collection method through in-depth interviews, observation, and document studies.The result shows that hence, the article discusses the unethical practice in academic writing as misconduct, fabrication, falsification and plagiarism or handling the prevention.In sumthat paper involves two aspect discourses: the unethical of academic writing and how to avoid this worse work., therefore, quality of the journal reflects the quality of the writing.
Edge-adaptive Jpeg Image Compression Using Matlab

In this paper, Edge-adaptive JPEG image compression is designed and implemented. The standard JPEG is a very popular image compression method results in a good compression with low computational complexity and memory requirements. JPEG gives users the ability to take an image and compresses it with little or no noticeable quality degradation. Compression is useful method because it helps to reduce the consumption of expensive resources such as storage space or transmission bandwidth. Edge-adaptive JPEG image compression is a modified image compression of standard JPEG. This technique achieves higher visual quality and smaller image data size than standard JPEG at the same bit rate. Edge-adaptive JPEG achieves compression at variable bit rates with minimal loss in visual quality. Visual activity is measured using a canny edge detector; the image is segmented with quadtree decomposition and apply DCT (discrete cosine transform) to each of the channels. The performance of image compression is simulated and analyzed by using MATLAB