Reviewerly/exHarmony huggingface dataset:
Hybrid Cloud Approach For Secure Authorised Deduplication

Data deduplication is one of essential data compression strategies for putting off replica copies of repeating data, and has been broadly used in cloud storage to reduce the amount of storage area and retailer bandwidth. To shield the conﬁdentiality of sensitive information. whilst assisting deduplication, the convergent encryption approach has been proposed to encrypt the records earlier than outsourcing. To better shield data security, this paper makes the ﬁrst strive to formally tackle the trouble of authorized data deduplication. Different from normal deduplication systems, the differential privileges of customers are further considered in duplicate check besides the data itself. We also present several new deduplication constructions supporting
SAT-based Circuit Local Improvement.

Finding exact circuit size is a notorious optimization problem in practice. Whereas modern computers and algorithmic techniques allow to find a circuit of size seven in blink of an eye, it may take more than a week to search for a circuit of size thirteen. One of the reasons of this behavior is that the search space is enormous: the number of circuits of size $s$ is $s^{\Theta(s)}$, the number of Boolean functions on $n$ variables is $2^{2^n}$. In this paper, we explore the following natural heuristic idea for decreasing the size of a given circuit: go through all its subcircuits of moderate size and check whether any of them can be improved by reducing to SAT. This may be viewed as a local search approach: we search for a smaller circuit in a ball around a given circuit. We report the results of experiments with various symmetric functions.
EXTRAMURAL TRAINING AT THE EDUCATIONAL ORGANIZATION OF THE RF INTERIOR MINISTRY SYSTEM: THE EXPERIENCE OF SOCIOLOGICAL ANALYSIS

A significant proportion of students of educational institutions of the RF Ministry of Internal Affairs (the RF Interior Ministry) are students of the correspondence courses. Moreover, there is practically no relevant sociological understanding in the literature of the conditions to implement the educational process with their participation. In this regard, the authors set a goal - based on studying the public opinion of students and teaching staff, to conduct a sociological analysis of the conditions of the educational process implemented in the educational organization of the system of the Ministry of Internal Affairs of Russia in correspondence form. The students and teachers of the Far-Eastern Law Institute of the RF Interior Ministry were the subjects of the research. A combination of quantitative and qualitative (focus group interviews) sociological surveys used in the paper ensured the results’ reliability. The authors conclude that the main cause for entering an educational organization of the system of the Ministry of Internal Affairs of Russia is an opportunity to obtain a legal education. The interviewed students consider the practical, law enforcement orientation of the education received and the discipline and strictness of the educational process implementation as the main substantive advantages of education at the Institute. The respondents see the difficulties of the educational process, first of all, in the insufficient amount of time for the examination period, i.e., face-to-face interaction with lecturers. In a separate block, the authors describe the state and the prospects of extramural education using distance learning technologies: the paper shows the dualism of perception of such technologies by the teaching staff and students, determines the relations between the training level of the respondents and the assessments of these prospects and reveals the altruistic moods of lecturers regarding the possible full transfer of distance education on the remote form.
Attributes Dimension Reduction and its accuracy in Big Data Analytics

The primary objective of this paper is to show the importance of attributes in the big data. Making business decisions from big data needs lot of time. Data mining is the process of using special algorithms/techniques to extract hidden information from large set of data. The accuracy of model result depends on the metrics. Variable selection or reduction is also one of those metrics to improve predictive power. With data is getting bigger and bigger every second, variable selection become the focus of research in recent times. Thus, objective of this paper is to explain the important algorithms and steps to select right features with high predictive power. Churn analysis will also be discussed in this paper.
Medical care for children with activity and attention disorders

Impulsiveness, inattention and high activity are the hallmarks of children. Many consider these traits to be normal behavior in children; unfortunately, sometimes the severity of these traits reaches a degree of disorder when the help of competent professionals is required. The aim of the study was to analyze the medical care of children with activity and attention disorders. A qualitative study was performed. The research tool is a semi-structured interview. The study involved 6 nurses working at the Child Development Center and 6 visiting parents of children. The study showed that children with activity and attention disorders are impulsive, distracted, intrusive, restless, and cause a lot of trouble not only for their parents but also for professionals. Prolonged disorders require complex treatment, nursing and care. Specialists control children's impulsivity, communicate with the child and his parents, find out the need for help, analyze the child's mental health. The most common mental problems in children and adolescents are activity and attention disorders.
Ontology Development for Motorcycle Semantic Knowledge Representation

Transportation is currently a basic necessity in supporting daily life, starting from supporting economic activities and various other things. One of the most commonly used means of transportation is a motorcycle because it is very practical to use. However, the development of motorcycles is currently very fast, confusing the community in choosing a motorcycle that suits their needs. The solution used to overcome this problem can be overcome by using the concept of semantic ontology. The method of building the ontology model used is METHONTOLOGY. This method is one of the methods of building an ontology model that can reuse the built ontology for further system development. The motorcycle ontology development model generates 16 classes, 13 object properties, 11 data properties, and 69 individuals. The ontology evaluation process by performing SPARQL queries also provides appropriate results.
CHALLENGES OF DISTANCE LEARNING IN RUSSIA: HISTORY TEACHERS’ PRACTICES DURING COVID-19

1 National Research University Higher School of Economics (RUSSIAN FEDERATION)2 Sber Gamification Lab (RUSSIAN FEDERATION)
Libraries: Collection Development for Education in the Boston College Libraries: Additional Criteria

Criteria for collecting and maintaining materials in the subject area of Education, with links to general library collection policies.
Application of Web-Based Expert Systems to Diagnose Dental and Oral Diseases using CF (Certainty Factor) Method

The increasing number of people with dental and oral diseases from year to year is one of the reasons behind the formation of a system that anticipates the increasing number of sufferers. An expert system is a system that resembles the workings of an expert. One of the existing methods in the expert system is the CF (Certainty Factor) method with a series of work, namely to diagnose dental and oral diseases with the CF (Certainty Factor) method used values of disease symptoms based on research results, the number of diseases is 20 types and 56 symptoms. Thus the CF (Certainty Factor) method is implemented into an application that is built with the Web programming language, Database and Mysql.
Decompositions of a rectangle into non-congruent rectangles of equal area

In this paper, we deal with a simple geometric problem: Is it possible to partition a rectangle into k non-congruent rectangles of equal area? This problem is motivated by the so-called ‘Mondrian art problem’ that asks a similar question for dissections with rectangles of integer sides. Here, we generalize the Mondrian problem by allowing rectangles of real sides. In this case, we show that the minimum value of k for a rectangle to have a ‘perfect Mondrian partition’ (that is, with non-congruent equal-area rectangles) is seven. Moreover, we prove that such a partition is unique (up to symmetries) and that there exist exactly two proper perfect Mondrian partitions for k=8. Finally, we also prove that any square has a perfect Mondrian decomposition for k≥7.
Tempo Tracking on Guru Ding Dong Transcript using Connected Component Labeling (CCL) Method

Music notation is a system of writing musical expressions as outlined in the form of symbols in the form of numbers or blocks. Music notation is used to document the composer's work in the form of songs so that it can be used by the public. In Balinese culture there is also a musical notation called Guru Ding Dong's Notation. This study discusses the segmentation of guru ding dong transcript to determine the tempo of each notation using the Connected Component Labeling method and the rule-based method. CCL algorithm applies Graph theory, where all pixels in an area that have a relationship with obeying the rules of pixel proximity will become a new image. The image that can be processed by the CCL algorithm is a binary image. In addition, this study also uses the image preprocessing method for initial data processing, namely grayscaling and binarization. The system built for research uses the MATLAB 2017b application. The results of the test resulted in an accuracy of the successful identification of characters and the tempo of each notation of 82%, this is influenced by the preprocessing process where there is a lot of noise in the image.&#x0D;
Decision Supporting The Best Student with the Implementation of the SAW Method System in SMK Muhammadyah 8 Medan

Being an outstanding student is the dream of every school age child. The achievements obtained are of course based on an ability of the knowledge possessed by each student, so this achievement will greatly help get a good life in the future. At SMK Muhammadyah 8, it is still difficult to give rankings in determining outstanding students among the many outstanding students because the selection is still manual and often experiences errors due to human errors. Decision Support Systems (DSS) are used to increase effectiveness and reduce subjectivity in decision making. There are several methods used in Decision Support Systems, one of which is the Simple Additive Weighting (SAW) method. The SAW method or often referred to as a combination linear weighting or scoring method, this method is based on the average weighting. The criteria used in this study were student absenteeism, student attitudes, the average score of report cards, extracurricular activities, student and academic activeness and 10 alternatives were used. By applying the Simple Additive Weighting (SAW) method, the results obtained from this study are Alternative 1 (A1), namely Sinta who is the best student at SMK Muhammadiyah 8. And the system that has been built using the programming language PHP and MySQL as the database can be assisting the SMK Muhammadiyah 8 in determining the selection of the best students using the SAW method at SMK Muhammadiyah 8 Medan.
ENGLISH PHONOLOGY FOR LANGUAGE LEARNERS: EXPLORING LEARNERS’ PREFERENCES

English Phonology is an absolutely necessary subject that should be mastered by foreign language learners in learning English. It is taught mostly at university level. However, there are still many students who are not aware of how important learning English Phonology is and less interested in learning this subject. There also has been little study that concerns students' preferences in learning English Phonology whereas knowing students’ preferences on topics or themes used in learning materials is a good step to make better learning outcomes. This study aims to investigate the most and least preferred topics and themes by EFL (English as a Foreign Language) students during English Phonology learning. This was a descriptive quantitative research by using a cross-sectional survey design. The data was collected with questionnaire from 112 participants of English Education Study Program students. The result showed phonological process pattern in English becoming the most preferred topic and theme while segmental phonology becoming the least preferred topic and theme in learning English Phonology.
Analysis of student and student interest in the Darmajaya IIB management study program (S1) Concentration in Bandar Lampung

Purpose – The aim to be achieved in this research is to study the interests of prospective students and students at the concentration of management study program (S1) Darmajaya IIB in Bandar Lampung.Design/methodology/approach – This research is a descriptive research. This research used questionnaire to collect data from 2387 sample consist of Darmajaya 3rd and 5th semester students and external respondents namely SMA / K and MA / I students in 47 schools spread across Bandar Lampung. Findings – Based on the results of the distribution of questionnaires conducted and the results of the analysis, obtained information for opening a new concentration of management study program IIB Darmajaya, the recommendation for opening the concentration is the concentration of Hospitality Management, Strategy Management, Operations ManagementOriginality/value – This research spesificallyto support IIB Darmajaya to increase the number of students in this college.
Psychological mechanisms of the formation of a students socio-cultural activity

The article presents the socio-psychological mechanisms of the dynamics of social intelligence in the process of professional formation of the student, designed a mechanism that provides psychological and educational assistance, fixes problems in the professional formation, has a systematic nature of the activities. The intellect of students in psychology will be reached in process researching social- psychological quality of dynamic's developing, and also were elaborated theoretical approaches, directed at solving problem, elaborated scientific-methodical recommendations. These approaches can be used on planning work sections and youthful organizations, at determining contents of textbooks, educational- methodical work of higher educational institutions.
Semantic Parsing of Disfluent Speech

Speech disfluencies are prevalent in spontaneous speech.The rising popularity of voice assistants presents a growing need to handle naturally occurring disfluencies.Semantic parsing is a key component for understanding user utterances in voice assistants, yet most semantic parsing research to date focuses on written text.In this paper, we investigate semantic parsing of disfluent speech with the ATIS dataset.We find that a state-of-the-art semantic parser does not seamlessly handle disfluencies.We experiment with adding real and synthetic disfluencies at training time and find that adding synthetic disfluencies not only improves model performance by up to 39% but can also outperform adding real disfluencies in the ATIS dataset.
Structural Enhancement of Cloud Monitoring System Using Elasticity Properties

Distributed computing gives an adaptable and enormous scope framework for people what's more, associations to convey administration situated arrangement at the ostensible expense. The cloud foundation board turns out to be progressively mind-boggling as server farms are becoming quicker as far as equipment what's more, programming assets. Consequently, a productive cloud checking framework is expected to deal with the cloud foundation and enhance generally speaking execution of the cloud. The Multi-administrator system is a better way to improve the presentation of the cloud. In this paper, we quickly talk about essential ideas of cloud checking framework alongside the near investigation of specialist based cloud checking framework regarding stages and properties of cloud observing framework. A multi-specialist cloud checking framework gathers crude information sift through undesirable information, and totals important information to help the checking of cloud conditions.
A GPU based virtual screening tool using SOM

This paper attempts to introduce the applicability of low cost graphics processing unit alternatives to a virtual screening technique using a novel self-organising map (SOM) based technique. This method combines the unsupervised learning capability of the SOM with a subsequent supervised labelling of the trained SOM neurons for building the prediction model. This novel iteration-based SOM technique can label molecule as undefined classes which can reduce the false positives in the screening. For running large datasets, the serial implementation of the proposed algorithm is very time-consuming and cannot be completed in a stipulated time frame. This has been overcome by exploiting the parallelism present in finding the winner neuron and neuron weight updating steps. A tool named SOMSCREEN is developed based on the proposed parallelised method to make the drug discovery process faster. It is observed that, the proposed method offers reduced false positive rate than the Random Forest based work.
Fine Grained Decentralized Access Control With Provable Data Transmission and User Revocation in Cloud

Cloud computing started a new era for IT enterprises. It allows the movement of application from local to remote location, massive data storage. Owner has access to centralized or decentralized data storage server, where data management handled by remote vendor. But, the heterogeneous and dynamic nature of cloud introduces security challenges. Among them, access control and integrity checking are most important which incur high consideration. Attribute-based encryption is one of the access control technique which allows integration of access policies, attributes, and encrypted data. In this paper, a new fine-grained decentralized data access control technique with user revocation has been proposed. Here, service provider is responsible for verifying the user authenticity. The proposed schema supports integrity checking and user revocation. The integrity checking proof validates that the user data is intact and revocation mechanism will help to revoke the user in linear time. Moreover, the proposed access control and authentication schemes are decentralized and comparable to other approaches.
PENINGKATAN KETERAMPILAN MENULIS DESKRIPSI DENGAN PENERAPAN METODE QUANTUM LEARNING PADA SISWA KELAS IV SDN JEMUR WONOSARI III/526 SURABAYA

The application of quantum learning method as a means to improve the ability to write description in fourth grade students of SDN Jemur Wonosari III/526 Surabaya . After the researchers explain about the application of quantum learning methods to teachers and their advantages, the teacher also agreed to apply the method of quantum learning in learning to write a description. Through the method of quantum learning is expected to foster interest and activity of students in learning to write a description. Such interest and interest will foster students 'enjoyment in learning that will ultimately improve students' learning abilities and learning outcomes. Therefore this research entitled "Improvement of Descriptive Writing Skill with Implementation of Quantum Learning Method on Grade IV Students of SDN Jemur Wonosari III/526 Surabaya .The application of quantum learning method can improve the learning process of writing description in fourth grade students of SDN Jemur Wonosari III/526 Surabaya . This is evidenced by the increased learning process, which includes: (a) increasing student activeness when following apersepsi. It can be seen from the increase of student activeness when following apersepsi at each cycle. In the first cycle students activeness when following apersepsi by 72%, on the second cycle of 92%; (b) increased activity and attention during learning. This is evidenced by the increased activity of students in responding to the stimulus provided by the teacher (asking, answering, responding, naming) and attention at the time of learning in each cycle. Cycle I active students follow the learning activities by 72%. In the next cycle the activity of students during the learning activities has increased significantly. The increase is 80% in cycle II; (c) the increased motivation and interest of students in following the learning of writing the description. This seems apada sincerity of students while doing the task and enthusiasm and spirit of students while following the learning activities. In the first cycle students who seem interested and motivated as much as 64%, in the next cycle increased to 81% in cycle II.
‘행복한 나 되기’ 프로그램이 간호대학생의 감사성향, 자아존중감, 몰입 및 주관적 행복감에 미치는 영향

The purpose of this study was to investigate the effects of the ‘Becoming Happy I’ program on gratitude disposition, self-esteem, flow, and subjective happiness in nursing college students. Methods: Participants in this study were 39 nursing college students (20 in the experimental group and 19 in the control group) at a college of nursing. The research design was a non-equivalent control group pretest-posttest as a quasi-experimental study. Data was collected from February to April in 2011 and analyzed via the SPSS/WIN 18.0 program with the χ2 test, Fisher’s exact test, repeated measures ANOVA, and Tukey HSD test. Results: There were significant changes in gratitude disposition, self-esteem, flow, and subjective happiness in the experimental group before and after treatment, which was significantly different from the control group, and these effects lasted at a 4-week follow-up. Conclusion: The ‘Becoming Happy I’ program was effective in improving gratitude disposition, self-esteem, flow, and subjective happiness for nursing college students. As a result, we recommended that the ‘Becoming Happy I’ program be utilized as an effective intervention for nursing college students to improve gratitude disposition, self-esteem, flow, and subjective happiness.
Play It Again, Sam

There are probably few players who are able to optimize their strategies with the help of the simplex algorithm. And moreover, most games people play are much too complex for such calculations to actually be carried out. But can good strategies be found without such calculations. One must say that mixed strategies are as strange to many players as they were to mathematicians for many centuries. Strategic games such as poker, mixed strategies play a central role in usual play. Thus, the concepts of a mixed strategy can be brought into play based on empirical experience. This chapter focuses on a two-person zero-sum game presented in normal form. It sets up a series of games in which both players attempt to improve their strategies progressively. Each game is played according to the normal rules. Each player seeks a pure strategy that brings the best result against the opponent’s previous average strategy.