Reviewerly/exHarmony huggingface dataset:
Research on Music Teaching Innovation Based on Big Data

In this way, people can make in-depth analysis of the nature of big data and the relationship between these things. Under this condition, because big data is widely used, its application scope is expanding, and gradually enters into music teaching. At this time, how to realize music teaching innovation under the background of big data is a problem worth thinking about. This paper will also carry out research on this, and discuss the basic concept of big data, the positive role of teaching, and the current situation of music teaching (the existing problems of music teaching, that is Then the big data music teaching system and teaching scheme are designed according to the current situation.
A Study on the Impact of Transformational Leadership Style on Employee Engagement and Employee Performance in ICT Industry – (a Study With Reference to the ICT Industry in United Arab Emirates)

The study is an effort to investigate the impact of transformational leadership on employee engagement and employee performance in ICT industry in UAE. As the country has been giving much attention to the application of knowledge management, the development of ICT and related industries are crucial as it plays a prominent role in knowledge management application. But many of the firms operating in this sector of business activity have been facing serious problems related to employee retention, employee engagement and employee commitment. Since employee engagement is very crucial for the performance of the employees and their productivity, the study attempts to find out the impact of transformational leadership style on employee engagement variables such as vigor, dedication and absorption and explores how these variables influence the employee performance in terms of task performance, adaptive performance and contextual performance. The study reveals strong positive correlation between transformational leadership style with employee engagement and employee productivity in ICT industry in UAE.
Enfoque profesional del uso de las herramientas informáticas como medios de enseñanza

This article offers the readers a study of the application of the professional approach to the use of informatics tools as teaching aids, to give the university students an active role in learning and help them develop professional acting styles. The objective is to reveal the formative results of the application of a professional approach to the use of the informatics tools as teaching aids in university majors. This article started from a thorough research in the sources directly linked to its topic. The authors processed the sources, which data generalized by means of the logic procedures of the scientific knowledge: analysis-synthesis and induction-deduction. Likewise, the materials were selected according to the demands of the research process.
A Secure Framework for Record Exchange Between Medical Institutions

Abstract The Personal Health Record (PHR) is a framework of health information exchange. In the digital age, hospitals and medical institutions are moving to an online platform to store the medical record of patients because physical storage has become quite labor-intensive, expensive and also very inconvenient in terms of maintenance and retrieval while online storage overcomes those obstacles. But there are still numerous privacy concerns as confidential health information may be accessed by unauthorized people. Storage of medical records and other patients related information on third party servers may be vulnerable to breaches as third-party servers usually do not possess a lot of security. To assure the patient’s authority over to their PHRs, this method is used, to encrypt the PHRs before storing on a server and that data is linked with the blockchain. In this paper, we propose a model and mechanism for control of data access to Personal Health Records stored on the cloud. To achieve efficient data access control for Personal Health Records, we use AES and SHA algorithm as an approach to encrypt each PHR file. The analysis and results exhibit the security and efficiency of our proposed scheme.
The Cluster Analysis of Online Shop Product Reviews Using K-Means Clustering

Technological developments have made changes in people's lifestyles, namely changes in the behavior of people who had shopped directly or offline to online. Many benefits are obtained from shopping online, namely the many conveniences offered by shopping online, besides that there are also many disadvantages of shopping online, namely the many risks in using e-commerce facilities, namely the problem of product or service quality, safety in payments, fraud. This research aims to mine review data on one of the e-commerce sites which ultimately produces clusters using the K-Means Clustering algorithm that can help potential customers to make a decision before deciding to buy a product or service
Factor models of the Kolmogorov–Sinai entropy indicators of EEG in adolescents with depression

t Introduction. According to the WHO, there is currently an increase in the prevalence, incidence and rejuvenation of depression. This phenomenon is also observed in adolescents. Purpose of the study. Search for sensitive and specific «markers» of depressive disorder in adolescents, which not only make it pos-sible to distinguish between patients and healthy people, but will also be able to assess the effectiveness of different types of treatment. The contingent of the surveyed. Research methods. Examined: 1. Group of adolescents with depression: 52 patients (35 girls and 17 boys). 2. Control group (healthy) — 40 adolescents (18 girls and 22 boys). 3. The EEG was recorded in a state of calm wakefulness and during mental stress. 4. EEG analysis — qEEG software complex — NeuroResearcher®InnovationSuite (MI&amp;T Institute, Ukraine). The entropy of Kolmogorov–Sinai EEG was calculated — a nonlinear indicator of the state of neurodynamics in the studied EEG electrode placement. 5. Multivariate statistical analysis. Factor analysis was used to create the models (STATISTICA, 13.3). Results. The search for objective quantitative «markers» of the depressive state of both sexes adolescents was carried out on the basis of nonlinear EEG analysis and the creation of factor models of the results obtained. The factorial models of the Kolmogorov–Sinai EEG entropy of the studied areas of the cerebral hemispheres of sick and healthy both sexes adolescents in a state of calm wakefulness and during mental test were obtained. A physiological interpretation of the identified main factors is given. Comparison of factor models made it possible to identify differences between depressed and healthy adolescents, as well as gender differences. Differences in the factor models of the EEG pacemaker parameters were also revealed in depressed adolescents in a state of calm wakefulness and during mental stress. Based on the obtained factor models, it is possible to calculate the individual values of the factors for each pa-tient. This allows to determine the individual severity of the studied pathology. The revealed significant differences in factor models in adolescents of both sexes with depression in comparison with factor models of adolescents in the control group can be used to detect depressive disorder during EEG examination. Key words: Depression in adolescents; EEG; Nonlinear EEG analysis; Kolmogorov–Sinai entropy; Factor analysis.
The Influence of Further Study Information Services on The Interest of Enterprising Students of SMK Negeri 2 Mataram

This study aims to determine whether the guidance of further study information services affects the higher education interest of students of SMKN 2 Mataram. This study uses a quantitative research approach with the Pre-Experimental Design method in the form of One-Group Pretest-Posttest Design. The variables of this research are the interest in entering higher education and the independent variable of further study information service guidance. The study population was SMKN 2 Mataram, while the sample was students of class XI who attended further study information service guidance, namely 36 (thirty) students, who were determined by incidental sampling technique. Based on the results of data analysis with SPSS 17.0 for windows software with the Paired Sampe t Test procedure, the results show that t is greater than t table, t (count) (3.986)&gt; t (table) (1.690). So the hypothesis of this research: there is an effect of further study information services on student interest in learning at SMKN 2 Mataram is accepted. The results of this study prove that information services for further studies have an effect on student interest in entering higher education. Therefore, it can be used as input and material for consideration for Guidance and Counseling Teachers in order to increase their role in directing vocational students who intend to continue to a higher level of education after completing their studies.
A Semantic Analysis on the Research Trend of International Arts Management

본 논문은 해외의 예술경영 학술연구의 동향을 언어네트워크분석을 통하여 연구한것이다. 본 연구는 예술경영 분야의 대표적 국제 전문학술지인 &#65378;International Journal of Arts Management&#65379;에 수록된 185편의 논문 초록에 게재된 357개의 주 제어를 대상으로 분석을 시도하였다. 시간적 범위는 최근 연구 동향 분석을 위해 2008년부터 2017년까지로 설정하였다. 분석결과에 따르면 첫째, 빈도수가 가장 높은 주제어는 ‘박물관/미술관’이었다. 그리고 ‘공연예술’과 ‘예술’ 또한 빈도수 20회 이상을 기록한 상위 그룹이었다. 그 뒤를 이어 ‘영화산업’과 ‘연극’에 대한 연구들이 많았다. 이런 예술 장르에 관련된 연구 외에도 ‘소비자행동’과 ‘시장전략’ 등 경영에 관련된 주제어들도 상위 그룹에 포함되어 있다. 둘째, 연도별 연구 동향을 보면 지난 10년 동안 매년 평균 53개의 주제어와 19개의 논문이 개재되고 있는데 국제적으로 예술경영연구가 꾸준하게 수행되고 있음을 알 수 있다. 분석대상 주제어 중 ‘박물관/미술관’은 빈도수가 가장 높은데, 지난 10년 간 지속적인 연구 소재가 되어져 왔고, ‘공연예술’도 지속적인 관심 주제어인 것을 볼 수 있다. ‘영화산업’, ‘연극 그리고 ‘문화’는 10년 동안 간헐적인 연구 대상이었으며, ‘화랑’은 2011년까지 언급이 없다가 2012년부터는 꾸준히 언급되어져 왔음을 알 수 있었다. 전반적으로 해외의 예술경영연구 흐름을 살펴보면 대중문화나 문화산업보다는 2000년대 후반에는 순수예술 쪽이 강세를 보이다가 시간이 흐를수록 주제들이 다양해지며 예술경영에 대한 연구들 또한 다양해지고 있음을 유추해 볼 수 있다. 셋째, 주제어별 연결빈도에서는 34회의 연결빈도를 보여준 ‘예술’과 ‘공연예술’이 가장 높은 연결 빈도를 기록하였다. 넷째, 주제어들 간의 밀도는 0.039로 주제어들 간 밀도 수치는 높지 않은 편이었다. 다섯째, 중심성분석에 따르면 ‘예술’, ‘박물관/미술관’, ‘공연예술’, ‘연극’ 그리고 ‘브랜드’ 등이 중심에 위치하며 중심성이 높은 것을 보여주었다.The main purpose of this study was to use semantic network analysis to examine the international trend of arts management and other studies pertinent to this field. The subject was based on 357 keywords listed on the abstract of 185 research papers in the International Journal of Arts Management. To examine the most current trends of arts management based studies the time frame was restricted from 2008 to 2017. To briefly summarize the result, first, museum was the most frequently appeared keyword. This was followed by performing arts and arts with more than 20 appearances. Motion picture industry and theater were the next frequently appeared keywords. Customer behavior and market strategy , keywords related to management, were also included in the high ranked group along with art related keywords. Second, yearly research trend shows that arts management has been regularly studied for past ten years with average of 19 research papers with about 53 keywords. Keywords such as museum and performing arts has been regularly studied for past ten years. Culture , theater and motion pictures industry does not regularly appear in the result of yearly research trend but nevertheless they have sparsely made an appearance along the past decade. Art gallery has not been cited till 2011 but from 2012 it was regularly and continuously made an appearance in the yearly research trend. Overall, the yearly trend result shows that the trend of international arts management studies within IJAM, was at first centered on fine arts but as the time passed there has been diversified keywords related to management. Third, performing art and art has the highest link frequency(34). Fourth, density result was 0.039 which shows that the keyword density is not very high. Fifth, art , performing art , museum , theater and brand were positioned in the middle when looking at the visualized version of centrality result. This means that these five keywords has the highest centrality among other keywords.
A Semantic Knowledge-Based Framework for Information Extraction and Exploration

The availability of online documents that describe domain-specific information provides an opportunity in employing a knowledge-based approach in extracting information from web data. This research proposes a novel comprehensive semantic knowledge-based framework that helps to transform unstructured data to be easily exploited by data scientists. The resultant sematic knowledgebase is reasoned to infer new facts and classify events that might be of importance to end users. The target use case for the framework implementation was the financial domain, which represents an important class of dynamic applications that require the modelling of non-binary relations. Such complex relations are becoming increasingly common in the era of linked open data. This research in modelling and reasoning upon such relations is a further contribution of the proposed semantic framework, where non-binary relations are semantically modelled by adapting the semantic reasoning axioms to fit the intermediate resources in the N-ary relations requirements.
METHOD TO FILTER THE UNWANTED MESSAGES FOR OSN

One key issues in the present (OSN) is to give clients a full capacity to control all the messages posted on their own space to keep up a key decent ways from that unwantedthings are  showed. Upto  now, OSNs offer a little help to the basic. To fill the gap thing, as of now, it has proposed a structure permitting clients to having a brief control over  the messages that are posted on their space. This paper comprise of a writing study paper of the current frameworks with proposed framework as a procedure to channel comparative importance words utilizing Ontology alongside the fundamental usefulness to channel the OSN divider for undesirable message. There are different sorts of data sifting techniques specifically Content based separating strategy, Policy based sifting technique and Collaboration sifting strategy.
Analysis and Research Based on Instrument Drift Data

Instruments and meters are used to inspect, measure, control, analyze, calculate and display the physical quantity, chemical quantity, biomass, electrical parameters, geometric quantity, and movement status of the object under test. Its applications cover a wide range of industries, agriculture, transportation, science, and technology, etc., and can be divided into electrical instruments, optical instruments, laboratory instruments, analytical instruments, testing machines, industrial instruments, etc. It assumes the task of gatekeeper and guide in the construction of the national economy. The analysis and research techniques of this article are based on the professional data of power plant industrial instrumentation. This paper presents an overview of various analysis methods of instrument data, and in-depth analysis of time correlation and coverage analysis, outlier analysis, etc. We give the statistical analysis process of drift data, focusing on the process of the AFAL method; We also described the drift algorithm of random behavior and deviation behavior and explored and discussed the analysis tools and data analysis results of the power plant industry professional data. We have designed a set of application systems for instrument data import, export, storage, and analysis, which can store instrument calibration data onto a Hadoop database in a prescribed format. Which provides great reference values for the calibration of instrument data. Finally, it looks forward to the analysis and research direction and development trend of industrial big data.
Microscopic Image Retrieval Scheme Using Neural Network For Multi Image Queries

In this paper, we describe the plan and advancement of a neural network based image retrieval framework for microscopic images using a reference information base that contains images of more than one information. Such an extraction requires a point by point assessment of retrieval execution of image highlights. This paper presents a survey of crucial parts of content based image retrieval including highlight extraction of color and surface highlights. The proposed neural network based image retrieval framework utilizes a multitier way to deal with arrange and recover microscopic images including their particular subtypes, which are generally hard to separate and characterize. Broad examinations on neural network based image retrieval frameworks show that low-level image highlights can't generally depict elevated level semantic ideas in the clients mind. This framework empowers multi-image inquiry to ensure the semantic consistency among the recovered images. New weighting terms, roused from information retrieval hypothesis, are characterized for multiple-image inquiry and retrieval. The multi-image inquiry calculation with the proposed weighting technique accomplishes about normal order exactness at the main position retrieval, beating the image-level retrieval precision by about ideal rate focuses for different infections separately. Utilizing low level highlights just does exclude human insight. In the event that human mediation is permitted in the image retrieval framework the proficiency supports up.
REGULARITAS DAN RELASI GREEN PADA SEMIGRUP TRANSFORMASI LINEAR PARSIAL INJEKTIF DENGAN RESTRIKSI RANGE

Injective partial linear transformations in the vector space V and the function composition operations form semigroups called semigroups of injective partial linear transformations denoted by I (V). Suppose Z is a subspace in a vector space V, then the set of all members of I (V) whose function results are contained in Z to the function composition operation is also a semigroup denoted by I (V, Z) which is called a semigroup of injectable partial linear transformations with range restrictions. . In this article, we will examine how the characteristics of regular elements and the characteristics of two set members in I (V, Z) are related to Green using the literature study method. The results of the research in this article are the necessary and sufficient conditions needed so that any element is called a regular element and the characteristics of the two members of the set I (V, Z) are related.
MATILDA - Multi-AnnoTator multi-language InteractiveLight-weight Dialogue Annotator

Dialogue Systems are becoming ubiquitous in various forms and shapes, from virtual assistants (like Siri, Alexa and various chat-bots) to customer support systems embedded within websites.Recent publications and advancements with natural language modelling have opened up NLP (and its more advanced applications like conversational AI) to a wider audience.Unfortunately, the lack of labelled data within this field remains a significant barrier and so we have developed MATILDA (the first multi-annotator, multi-language dialogue annotation tool) as an initial contribution to help the community overcome this barrier.MATILDA is a tool for creating highquality corpora via a user-friendly interface so as to facilitate the annotation of dialogues, resolve inter-annotator disagreement and manage multiple users at scale.We have evaluated the tool on ease of use, annotation speed and inter-annotation resolution for both experts and novices and can confidently conclude that MATILDA offers a novel, streamlined, end-to-end solution to dialogue annotation and is intuitive enough to use, even for a non-technical audience.The tool is completely open-sourced at https://github.com/wluper/matilda and is easily adaptable to any language.We are also providing a complementary tutorial video 1 .
Enhancing the Authentication Scheme to Auditing the Cloud Storage and Security

Cloud computing has become a reality with new IT infrastructure based on several techniques such as distributed computing, virtualization, etc. Besides the many benefits that they can offer, cloud computing also comes with the difficulty of protecting data security. This paper first explores the basic concepts and analyzes the main aspects of data security about cloud computing. We then look at each problem, discussing its nature and existing solutions, if any. In particular, we will pay special attention to protecting data confidentiality/integrity/availability, data access, and monitoring, and complying with rules and obligations to ensure data security and confidentiality. With the fast advancement of organizing and portable gadgets, we are confronting a dangerous incensement of swarm sourced information. Existing frameworks as a rule depend on a confided in server to total the spatio fleeting publicly supported information and after that apply differential security component to bother the total insights previously distributing to give solid protection ensure. We propose a Modified appropriated specialist based protection saving structure, called MDADP that presents another dimension of various operators between the clients and the untrusted server.&#x0D;
Sistem Pengambilan Dan Pengembalian Rekam Medis Rawat Inap Berbasis Web Menggunakan Metode Prototype Di RSUD Arifin Achmad Provinsi Riau

The Regional General Hospital of Arifin Achmad, Riau Province, carries out the process of retrieving and returning inpatient medical records is still manual, namely still using the expedition book. By still using the expedition book, the process of searching for medical records of inpatients who will seek treatment will take longer if they have not been returned from the inpatient room. Returns of medical records between Januari 2019-December 2019 experienced a delay of 71,78%. The purpose of this study was tho design and create a system for retrieving and returning inpatient medical records to overcome the problem of inaccurate returns. This type of research is to use the prototype development method. Data collection was carried out through interviews, observation, documentation and Focused Groub Discussion (FDG). System design is done using flowcharts, Context Diagrams, Level 1 Data Flow Diagram, and Entity Relationship Diagrams. Making a system using the programming language PHP and MySQL as the database. Testing of this system is Black Box Testing by testing the software in terms of functional specifications without testing the design and program code. This test is used to determine user or user satisfaction with the software that has been mad. The result of the tests carried out stated that the functionality of the retrieval system for inpatient medical record was running well or was successful.  The result of this research is a system that can help the process of retrieving and returning medical records so that it can reduce the number of inaccuracies in returning with a reminder message via telegram if the medical records are not returned immediately.
Attracting children’s attention to literature through the object of project activity-table theater

Today, there are many electronic devices that can replace the things we are used to. Todays children and adolescents spend more and more time learning new means of communication and searching for information, which is why traditional means (books, communication, experience) take a back seat and eventually become less important for overall development. While studying in primary school, it is easier for children to work with Internet sources because of the simplicity and conciseness of information that is in General use. Reading material from a book is replaced by gadgets. The very concept of reading has acquired a different meaning, has ceased to be a part of culture. Many parents and teachers face this problem when trying to teach their children to read literature. The purpose of this project is to find an alternative way to attract children to literary works through the object of project activity-table theater for children.