Reviewerly/exHarmony huggingface dataset:
Detection of Transformed Data Leaks using Enhanced Encryption Algorithm

Leaking sensitive information into computer systems poses a serious threat to the security of the organization. Statistics show that the lack of proper encryption and communication due to human error is one of the leading causes of data loss. Organizations need tools to identify sensitive data exposure by testing content and storage, that is, to obtain sensitive information that is stored or sent to a specific location. However, finding disclosure of sensitive information is a challenge due to data conversion of content. Modifications (such as installation and removal) lead to unexpected leakage patterns. In this paper, the secure algorithm with double encryption key authentication is used to obtain leaky asymmetric cryptography data, facilitating a guaranteed correlation between the public key (the public part of the asymmetric key pair) and the identity (and / or other attributes) of the corresponding private key holder (private part of that couple), for uses such as verifying the identity of a particular business, verifying the authenticity of information, supporting rejection, and establishing an encrypted communication section
A Visual Study of Jiangxi Music Non-legacy Knowledge Based on VR Technology

As the development of society and the innovation of science and technology, VR technology, as a new product of the 21st century, brings us not only shock, but a fusion of innovation. As a hot spot in this era, VR technology is also called “spiritual technology”. This technology makes a virtual world by computer, makes the diversified information merge into a three-dimensional body information, through the equipment, can make people in a virtual real environment can not extricate themselves. The progress of science and technology has always surprised us.” VR technology “is a comprehensive innovation for all walks of life. How to make Jiangxi music non-legacy knowledge get attention again, VR technology should be a breakthrough.
Analysis of the Influence of Knowledge and Belief of TCM on Behavior Based on Structural Equation Model

Objective: To understand the influence of residents' knowledge and belief in TCM (TCM) on their behaviors, and to provide support for the government to optimize TCM policies; Methods: The structural equation model was used to analyze relation between TCM knowledge, belief and behaviors.Results: TCM knowledge had negative effects on TCM beliefs, and TCM beliefs strongly influenced TCM behaviors.Conclusion: the negative effect may be due to the influence of other factors between TCM knowledge and TCM belief; It is necessary to attach importance to the cultivation of TCM beliefs, strengthen the education and edification of TCM culture, give full play to the main role of various organizations and media, strengthen the standardization and supervision of TCM industry, and increase the input of TCM "inheritance and innovation".
Editorial of Special Issue “Machine and Deep Learning for Earth Observation Data Analysis”

Earth observation and remote sensing technologies provide ample and comprehensive information regarding the dynamics and complexity of the Earth system [...]
RANCANG BANGUN SISTEM PEMUTUS ARUS SEBAGAI PENGAMAN TEMPERATUR BERLEBIH PADA INKUBATOR BAYI

Several countries in the world, including Indonesia, have reported baby-care accidents in the baby incubator due to the failure of the temperature control system to maintain a stable temperature. Therefore, this study reports the design of an circuit breaker system as an over-temperature safety in a baby incubator. Experimentally, the prototype consists of hardware design, software design, and testing system design. The hardware design has four main part, sensing layer using PT1000 as a temperature sensor, data processing layer using an ESP32 microcontroller, a circuit breaker system using a solid-state relay as an electronic switching, and LCD as a display. System testing has been done by evaluating the temperature readings on a prototype against the HTC-02 digital thermometer instrument and carried out in the electromedical engineering laboratory. The results show the accuracy of the temperature parameter is 99% and the circuit breaker system is able to cut the current from the power supply to the appliance when the temperature is more than 39°C which is indicated by an incandescent lamp "off" where this is equivalent to a heater at the baby incubator is in the "off" condition. From the results of this test, it can be concluded that the circuit breaker system as a safety over temperature in the baby incubator has functioned according to the design.Recommended the development of this prototype needs to be followed up by testing on low-tech baby incubators available at basic health care facilities so as to improve technology readiness to be effective in the community.
An Analysis of Student's Reading Motivation in Reading Subject at English Department of Universitas Negeri Padang

Abstract Reading is an important activity that cannot be separated from human’s activity. As a student, reading becomes a vital aspect for helping them toward the learning. However, there are many factors that steal students’ attention from reading. In this research, the researcher wanted to find out how students’ motivation in this recent situation. The purpose of this study was aimed to analyse the students’ reading motivation and defined the type of students’ motivation in reading subject at English Department of UNP. The study was descriptive study using quantitative approach. The data were collected through a ready-made questionnaire “Motivation Reading Questionnaire” by Wigfield and Guthrie (1997). The subject of the study was 2016 English Education students from English Department of UNP. The samples of the study were chosen by using cluster random sampling technique. The result of this study showed that: (1) 2016 English Education Students have a good motivation in reading, because a half of the participant were in average level of reading motivation, followed by the high level of motivation, and there were only two students who have low motivation, (2) the students’ type of motivation were dominantly extrinsic motivation.
Application of the O-Chat Bot Program to Provide Learning Motivation to National University Students Using AIML: Application of the O-Chat Bot Program to Provide Learning Motivation to National University Students Using AIML

Teaching and learning process raises new problems, some students feel the turmoil in understanding the online-based learning process and the lack of motivation to do the work. With the Chatbot-O Program, students will find it helpful to better understand the online learning process but have not been fully able to build student learning motivation. This study aims to develop to a further stage regarding the Chatbot application to provide motivation to learn at national university students by displaying answer messages based on the questions given. This research uses AIML which is part of the XML set. And also as a language used in composing chatbot logic to understand the input that has been received
Lightweight Delegated Authentication with Identity Fraud Detection for Cyber-physical Systems

Delegated authentication is a very popular and effective paradigm to deal with entity authentication problems for resource-constrained clients in cyber-physical systems; namely, the authentication between two clients is proxied by a trusted authentication server. However, an attacker may compromise the authentication server to impersonate the clients for sabotaging the cyber-physical systems. To detect the identity fraud attacks caused by an authentication server compromise, we propose two mutual authentication protocols by using a pseudo-random function family and a one-time signature (OTS) scheme. Our idea is to leverage the continuously evolving OTS signing and verifying keys at the signer and the verifier sides respectively for identity fraud detection because an identity fraud attack would violate the victim's honest OTS key update procedure. The proposed protocols are proven secure under a new mutual authentication security model that formulates the identity fraud detection.
Application of fuzzy algebraic model to statistical analysis of neuro-psychopathology data

The purpose of this paper is to describe and present applications of fuzzy logic in analysis of certain neuro-psychopathological symptoms. These symptoms have been linked to conditions relating to occupational hazards. Our method of data analysis which is based on Hamacher operation on picture fuzzy sets is then applied to analyze such occupational hazards. Our result proves to be effective and applicable in medical decision processes especially in situations where such neuro-psychopathological symptoms are detectable by first-aid diagnostic machines.
THE EFFECTIVENESS OF GAMES ON STUDENT’S SPEAKING SKILL AT SECOND GRADE OF ISLAMIC JUNIOR HIGH IN GRESIK

The researcher examine the effect of games on oral production competemce at second grade of junior high school in gresik. The reason of this study are low motivation on speaking material and students feel difficult on the material. This study is caried out at Islamic Junior High School in Gresik by 40 students. The researcher uses pre-experimental non-randomized pretest posttest design. The result shows that the average score of pretest is 47,89 and 61,71 for posttest, it means that games is effective strategy on teaching speaking, besides the students have high responds in applying the strategy at learning process.
A Study on the Emotional Analysis of Abandoned Surrogacy Events Based on Text Mining

In late January 2021, news that actress Zheng Shuang had surrogacy abroad and had wanted to give up her children sparked a public outcry. This paper takes Zheng Shuang’s comments on the topic of surrogacy and her abandonment as the research object. Firstly, the web crawler technology is used to grab and mine the comment text, and then the ROSTCM software is used to analyze the text data to explore the comment topics of Weibo network users after the abandonment event and the analysis of their emotional tendencies to the event.
A random signal generator by using analog electronics

The describing function theory is a powerful mathematical tool to predict oscillations in non-linear dynamical systems. This theory is here invoked to design a random signal generator and realized by using analog electronic elements. Then, and according to experimental results, histograms of the resultant signal are shown along with the generated signal in the time domain. Finally, the proposed electronic circuit is simple and cheap to construct.
Conceptual study of NNARX method for solar radio burst prediction model development / Mohd Rizman Sultan Mohd, Juliana Johari and Fazlina Ahmat Ruslan

Dependencies for electromagnetic spectrum-based technologies have increased with the introduction of digital broadcasting and high-speed internet. The solar weather which specifically related to the sun’s activities caused an impact toward the stability and the continuity of electromagnetic spectrum on earth with the strike of solar flare. With the use of low-frequencies radio spectrometers, the early detection of solar flare can be made with the appearance of solar radio bursts. With the prediction model developed for solar radio burst, the effect of it can be reduced with a precaution action. Artificial Neural Network (ANN) had been widely applied in various prediction model development. Since solar radio flux is a highly non-linear data, Neural Network Autoregressive Model with Exogenous Input (NNARX) is considered for the solar radio burst prediction model development. NNARX is a dynamic ANN which had been widely applied in solar radiation prediction model development. In this paper, previous study on the application of NNARX will be discussed to develop an architectural concept in order to prepare the NNARX for solar radio burst prediction. By the end of this study, framework for the prediction model development is established to prepare future work for solar radio burst prediction using NNARX.
A Systematic Literature Review of Utility Itemset Mining Algorithms for Large Datasets

Exponential growth has been measured in the size of data during the last two decades. The mining of utility itemsets from a large dataset is a challenging issue because of the diverse dimensions of data. Various itemset mining algorithms have been projected by the researchers to discover relations among the items of a database. In this paper, a systematic literature review has been presented for different algorithms, which are being used for utility itemset mining. 37 studies have been selected to answer the research questions framed for this review based on different methods of mining. These methods have been sorted into four categories with their benefits, drawbacks, performance, and scalability. It has been concluded that research efforts should be geared towards more scalable, secure, and safe methods that can operate more meritoriously on large datasets.
중학교 한문 교과서에서의 ‘학습 용어’ 구현 양상에 관한 연구 - 2015 개정 한문과 교육과정에 따른 교과서를 중심으로 -

In this paper, I reviewed the aspects of the 'learning term' in the middle school Chinese character textbook and proposed measures for effective learning term education. First, I organized the composition of learning terms, the presentation of subjects and terms, the meaning solving and teaching-learning methods, etc. Five of the 17 species did not have separate learning terms, and only one was composed of small-unit body learning. Next, I organized the current status of learning terms with subject name. It contained more than 480 learning terms in a total of 16 subjects, and sometimes included subjects and learning terms that were not in the middle school curriculum. I suggested improvements in the selection of subjects and learning terms, the composition of units, and the method of education. In consideration of the compilation of middle school curriculum, I proposed to limit myself to six subjects: Korean, Social, Historical, Moral, Mathematics, and Science. And I proposed a list of learning terms based on the terms in the 'core concepts, content elements, and learning elements' of these six curriculum and the 'List of learning vocabulary by subject' of the Korean language curriculum. I emphasized that learning terms should be organized into more than one unit of text, and the structure of words should be trained together. I hope this paper will help in revising the curriculum and writing new textbooks in the future.
СОВРЕМЕННОЕ СОСТОЯНИЕ ОЦЕНИВАНИЯ УЧЕБНЫХ ДОСТИЖЕНИЙ ОБУЧАЮЩИХСЯ С ОСОБЫМИ ОБРАЗОВАТЕЛЬНЫМИ ПОТРЕБНОСТЯМИ В УСЛОВИЯХ ИНКЛЮЗИВНОГО ОБРАЗОВАНИЯ

The article deals with the development of inclusive education in USA, Great Britain, Russia and Kazakhstan, its problems and trends. The main part of the article raises questions of a the educational assessment of students with special educational needs in the conditions of the implementation of inclusive education. The authors reveal the basic principles that teachers must adhere to when assessment students' learning achievements in an inclusive education environment. The article assumes that correct assessment in the presence of a rigid state educational standard is impossible. The main conclusions of the article provide for the need to expand and supplement educational and methodological recommendations on the system of assessing the educational achievements of students with special educational needs.
Odyssey Self Reflection - knittingtechnique / Faculty of Art and Design UiTM Cawangan Sarawak

The design of knitting techniques had encouraged me tocreate works of art consisting of drawing, painting,printmaking and sculpture. The concept of my artworkswas significantly associated with the famous postimpression paintings, the predominantly French artmovement. The elements and principles in the artworkshighlighted the form of knitting technique where a ball ofyarn is manipulated using a needle to create a fabric. Iapplied ready-made materials for my sculpture such aswood and yarn. I used mixed techniques for theprintmaking artwork which were intaglio and stencil.
Determinants of Transparency and Disclosure in Annual Reports: Evidence from Iraqi Companies

The present study aims to empirically verify the factors affecting the level of transparency and disclosure provided in the annual reports of Iraqi companies listed in Iraq Stock Exchange. The level of transparency and disclosure was measured in the published annual reports of 30 Iraqi companies listed on the market for the period 2013-2017 distributed across five sectors using the Standard and Poor's methodology. The results showed that the average rate of transparency and disclosure for all companies for the five years was approximately 42%. A regression analysis conducted on the same sample indicated five factors (determinants) that influence transparency and disclosure levels. Three factors were positively related: size, age and activity of the company, while leverage and auditor type were negatively related. Moreover, no significant effect of profitability ratios was identified on transparency and disclosure levels. Such findings are not only useful in providing support for some previous studies, but also suitable for those who need to learn about the determinants of transparency and disclosure in Iraq from local and foreign investors. Furthermore the regulators can benefit from these results to improve the level of disclosure and transparency.
ANALYSIS OF CAREER AND ALUMNI CENTER WEBSITE USING DELONE AND MCLEAN MODELS BASED ON ALUMNI PERCEPTION OF DYNAMICS UNIVERSITY SURABAYA

Surabaya dynamics university career and alumni service centers have a career and alumni service center website. The website is a digital information specifically for Surabaya dynamics university alumni with an online system released in 2008. The career center and alumni university Surabaya dynamics services website ranks 3,395 in Indonesia according to Alexa with the Uniform Resource Locator (URL) www.alexa.com. After the career center and alumni website has been implemented, there has never been an evaluation of the system quality, information quality and service quality of the career center and alumni website based on the end-user perception as feedback to the website manager. Based on the existing problems, by analyzing the success of the career service center website and alumni as an evaluation material and input or consideration material for the career service center and alumni of Surabaya dynamics university in knowing the quality of the system, the quality of information and the quality of service. This success analysis uses the information system success method of DeLone and McLean by analyzing the variables of System Quality, Information Quality, Service Quality, Usage, User Satisfaction, and Net Benefits from the career center and alumni service center website. The results of the study by distributing questionnaires to a sample of 137 alumni, showed that the System Quality variable had a positive and significant effect on User Satisfaction. Service Quality Variables have a positive and significant effect on Usage. The User Satisfaction variable has a positive and significant effect on Net Benefits. And the Service Quality variable has a significant influence on the Net Benefit variable through the mediation variable. So the Surabaya dynamics university career and alumni service center should further improve digital service information related to job vacancies, and the website service system of the career and alumni center of Surabaya Dinamika University.
O Dataverse e suas contribuições para a comunicação científica

Data Repositories (RD) guarantee the principles of transparency and offer a secure storage system, in addition to the possibility of having research data available online, indexed, documented, to be accessed, downloaded, viewed and processed by people or by systems, extending it to a wider and networked community. The objective of this research is to present the contributions provided by the use of RD Dataverse to promote efficiency in scientific communication. This is a qualitative, descriptive and bibliographic research in which we sought to identify relationships between the bibliographic content on scientific communication, data and data repositories and informational content on the RD Dataverse contained in the sites The Dataverse Project ”- presentation site of the Dataverse - and “Harvard Dataverse. The results demonstrate the functionality of Dataverse has relations with aspects that benefit scientific communication, among which can be mentioned: preservation of scientific data, production of quality metadata, promotion of ease in processes of retrieval of scientific information, availability of data that can be cited, among other issues. Therefore, it is concluded that the Dataverse provides benefits that are associated with the communication processes between scientific researchers.
Database Interaction using Speech Recognition

Interaction with standard databases are possible only if we know about standard SQL queries. This paper focuses on interacting with a database with speech. Here users can interact with the database with their voice for retrieving details from it. Hence it is not necessary that user must a prior knowledge of SQL queries. Information Retrieval deals with the easy access to the information based on the user’s request, which will be presented in the form of a query. A dialog system that understands spoken natural language queries, asks for further information if necessary and produces an answer to the speaker’s query. Most of the research works in Information Extraction focus only on written language processing, in which a few are devoted to the study of Spoken Language Information Extraction.
Theories of change in Agile Psychology

Theory of Change is essentially a detailed illustration and exemplification of how and why a desired change is expected to occur in a certain setting. It is particularly concerned with mapping out or what has been termed as the missing gap between what an intervention or change effort performs and how they contribute to the achievement of desired outcomes. It accomplishes this by first defining the intended long-term objectives and then working backwards from these to determine all of the circumstances (outcomes) that must exist (and how they are causally connected to one another) for the objectives to occur. All of this is stated out in an Outcomes Framework. The Outcomes Framework then serves as the foundation for determining what form of activity or intervention will result in the outcomes listed as prerequisites for reaching the long-term objective. The precise relation between activities and the attainment of long-term goals is better understood using this technique. This results in improved planning since actions are related to a full grasp of how change occurs. It also leads to improved assessment since it allows for the measurement of progress toward the attainment of longer-term goals that extend beyond the identification of program outcomes. For modern managers, working with agile development necessitates the adoption of a new philosophy or psychology. While method is vital to guarantee that the team produces high-quality interventions that fulfills clients’ needs, it's also crucial to remember that the Agile Method emphasizes flexibility, collaboration, and transparency among team members as well as between the team and management. It creates a management climate in which managers exert less control and more facilitation. The manager's responsibility shifts to one of removing bottlenecks, fostering openness and communication, and monitoring the change-driven environment to ensure that the results satisfy goals and criteria but not exerting too much control on the flow of the process of agile development. Change is no longer incorrect; rather, the inability to change is incorrect. Thus, the emphasis of this paper is to raise awareness of the importance of approaching agile psychology with theories of change methodologies.