Reviewerly/exHarmony huggingface dataset:
Perceived Critical Success Factors for Information System Risk Management Implementation in the Bank Sector

Information System (IS) risk management implementation is a program that enables an organizations capture, manage and analyses the risks that are peculiar to IS adoption in a secure system.By implementing IS risk management organizations can improve operation efficiencies and save cost of risk investment.Meanwhile, bank is an institution that relies heavily on information technology for the network of business activities therefore; there is need to be aware of various risks associated with the usage of information system such as criminal threat and natural disasters.The present study examines the effect of perceived critical success factors for information system risk management implementation in the bank sector.Data were obtained from top executives of the selected banks using questionnaire instrument.The study employed descriptive correctional research design.The study population comprises of banks located in Oyo State South-Western part of Nigeria.Overall, 30 banks were selected for the study with four respondents from each bank.The questionnaire was pre-tested prior to actual distribution to the respondents.SPSS software was employed as analytical tool to test the study hypotheses using correlation and multiple regression analysis.Three factors were employed in the study; organization culture, organization structure and trust.The finding revealed that only organization culture was perceived to be positive critical factor for IS risk management implementation in the bank sector, while organizational structure and trust are in weak positions.Therefore, culture as an internal factor should be given priority in IS risk management implementation in the bank sector.
Application of Particle Swarm Optimization Algorithm in Power Source Thermal Transient Prediction

This paper proposes the usage of particle swarm optimization (PSO) algorithm in identifying system unknowns for heat source thermal transient prediction in electronics device. The proposed method shortens the calculation time and removes the difficulty of unknowns' identification for thermal transient prediction question. Result shows that the RMS error is 0.81°C which indicates the majority is well predicted and the error is 5.39°C while the power has violent variance. PSO converges Req τeq in 20 iterations from 7,000 seconds of data with given each unknown 15 particles. The usage of PSO solves the system unknowns' identification issue from performance application transient and provides reliable results.
Petrography, Mineral Chemistry and Geothermobarometry of Gabbro-Diorite intrusions from Hurjand Area, NE of Kerman

Petrography, Mineral Chemistry and Geothermobarometry of Gabbro-Diorite intrusions from Hurjand Area, NE of Kerman
A Full-Text Kalmyk Expatriate Community Database

The article describes a full-text Kalmyk expatriate database containing publications by first- (1920-1930s) and second-wave (1940s) Kalmyk emigres. Materials. The database on the Kalmyk expatriate community was compiled from journal collections of the Kalmyk Scientific Center of the RAS included into the Rarity Fonds of the Alekseeva Scientific Library and Archive, as well as from other digitized works contained both in domestic and foreign libraries. Results. The paper provides a scholarly description of the database’s structure, characterizes its materials both quantitatively and qualitatively. Still, the developed database remains incomplete, some of the to-be-included published and archival sources being unavailable for a score of reasons that are essentially objective (e. g., whereabouts of the famous Eurasianist and author of ‘Genghis Khan and His Heritage’ E. Khara-Davan’s archives are actually unknown) and subjective (lack of funding and related opportunities to investigate archives and libraries of cities where first- and second-wave Kalmyk emigres used to live and work).
Combined Approach for Teachers’ Evaluation Aspects Identification Using Dictionary and Patterns Based

Teacher performance evaluation is a common method and often used for evaluates teaching quality in higher education. With the rapid growth of opinion mining technique. Aspect-based opinion mining application has been possibly employed to extraction and summarization of students' comments for teacher evaluation. However, to automated teacher evaluation features identification from a large number of students' comments collection is very hard work. This study has the goal to address this problem. The main objectives of the proposed method are: (1) to identify teacher evaluation aspects, (2) to compare the efficiency of dictionary based, patterns based and the combination of them, and (3) to enhance the accuracy result in the teachers’ evaluation aspects identification from the unstructured text of students' feedbacks. The students' feedbacks were collected by questionnaires and the dataset was constructed manually with a total of 4,496 sentences from 300 undergraduate student responses in 10 subjects by purposive sampling and the collection of positive and negative sentences from 30 participants group interviewed in the workshop. Both approaches were applied to identify the frequency teachers' evaluation aspects. The experimental results found that our proposed approach provided reasonably more accurate results, the combination approach enhanced a significantly average of precision and recall. For future work, we focus on the application of new linguistic patterns and non-frequency aspects in order to increase the accuracy result.&#x0D; Keywords—aspects identification, lexicon relation, linguistic pattern, opinion mining, teacher evaluation.
VISUALIZATION OF LEARNING LOG OF WEB-BASED APPLICATION FOR UNDERSTANDING THE STRUCTURE OF GEOMETRIC PROOFS

Many students are not good at geometric proofs.One reason for this is that it is possible to memorize the proof procedure explained by the teacher without understanding the structure of a geometric proof.So far, we have developed a web-based application that supports the understanding of the "structure of geometric proofs" in junior high school mathematics and have verified its effectiveness.Although the results of the evaluation experiments have indicated the usefulness of this web-based application, it was not possible to identify the factors that brought about its usefulness.In addition, because the web-based application was not equipped with a log analysis function, it was not possible to grasp the aspects that students struggle with during a proof in the web-based application.In this paper, we present the results and problems of the evaluation experiment of the web-based application so far and discuss the newly added log analysis function.
Developing a Software Module to Automate the Process of Categorizing Objects of Critical Information Infrastructure

This article presents a program for automating the process of categorizing critical information infrastructure of the Russian Federation. The program for automating the process of categorizing critical information infrastructure objects is located on Windows 7 that provides consistent, logically verified work. When you run it, the user is given the ability to automatically enter data in the object scope, type, architecture. As a development environment for this software product PyCharm developed by JetBrains based on IntelliJ IDEA was used for Python programming language. The program provides libraries pyqt5, python-docxtemplate’s, pyinstaller. In the end of the program the objects of critical information infrastructure are identified as the outcome of importance (or not given) and create the resulting document in Microsoft Word (.docx). Thus, the developed software module for automating the process of categorizing critical information infrastructure objects allows to speed up the process making it easier to implement.
Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation

With the current technological advancements, the autonomy of numerous systems has raised significantly. Consequently, they are becoming complicated and highly nonlinear dynamical systems. To attain the desired control autonomy in those systems, significant research interest on developing learning machine based Autonomous Intelligent Controllers (AICon) have been observed in recent times. In this paper, a brief introduction about the AICon, recent advancement in their design, structure, and implementation in various nonlinear dynamical systems have been discussed. Some of the successful employment of AICons with some positive results are attached in this paper. It also includes the challenges with AICons' real-time implementation, possible solutions with some future research directions.
An Efficient Method for Speeding up Large-Scale Data Transfer Process to Database: A Case Study

Among the of characteristics of Large Data complexity comprising of volume, velocity, variety, and veracity (4Vs), this paper focuses on the volume to ensure a better performance of data extract, transform, and load processes in the context of data migration from one server to the other due to the necessity of update to the population data of Tegal City.An approach often used by most programmers in the Department of Population and Civil Registration of Tegal City is conducting the transfer process by transferring all available data (in specific file format) to the database server regardless of the file size.It is prone to errors that may disrupt the data transfer process like timeout, oversized data package, or even lengthy execution time due to large data size.The research compares several approaches to extract, transform, and load/transfer large data to a new server database using a command line and native-PHP programming language (object-oriented and procedural style) with different file format targets, namely SQL, XML, and CSV.The performance analysis that we conducted showed that the big scale data transfer method using LOAD DATA INFILE statement with comma-separated value (CSV) data source extension is the fastest and effective, therefore recommendable.
RANCANG BANGUN SISTEM INFORMASI BENGKEL UNTUK PENGELOLAAN TRANSAKSI DAN PENINGKATAN PELAYANAN KEPADA PELANGGAN

Abstract : Bengkel is a business entity engaged in the sales and service of vehicle repair. The business process in the bengkel handles activities of purchasing, inventory, sales and service. In handling these activities, several problems were found, including frequent loss of purchase invoices, didn’t have debt due reports, inventory of goods not recorded properly, frequent errors in recording and calculating sales and service, not yet well-recorded technicians handling each repair from customers, and there are no purchasing reports to know purchase target achievement. Therefore, the bengkel needs an information system to manage daily transactions. The use of bengkel information systems will certainly improve service to customers because all activities and transactions are well managed by the bengkel information system. The information system developed has the advantage of being able to customize features according to needs and is flexible to be used by all bengkel
Cognitive Defusion Techniques to Improve Self-Confidence of Students

The present study was aimed to identify the level of self-confidence, formulating a hypothetical draft cognitive defusion techniques to increase self-confidence, and developing cognitive defusion techniques to improve students' selfconfidence.This study is a research and development research, which involves identification of students' self-confidence level, the formulation of hypothetical draft of cognitive defusion techniques to improve self-confidence, and the product feasibility test.The data was analyzed using quantitative descriptive analysis.The study was conducted in Muhammadiyah Vocational High Schools in Yogyakarta.The result of the study suggested that the cognitive defusion techniques is feasible to be implemented by counselor to support the counselor's program in enhancing students' self-confidence.
Developing a Participatory Platform for Teaching Cultural Heritage in Informal Learning Environments: The Case Study of Culture Gate

The purpose of this paper is to present the educational dimension of the Culture Gate platform and Culture Gate Collector application. Culture Gate is a multidisciplinary multipurpose online participatory platform for the management of cultural heritage digital content. A unique feature of the Culture Gate platform is that it enables any teacher or student to create, upload, share, and comment on a wide variety of cultural content ranging from theatre to music. The platform integrates several characteristics of well-known IT-ready educational theories, such as collaborative learning theory and constructivism theory. Furthermore, the platform possesses an application for smart devices (smartphone, tablet) known as Culture Gate Collector. Using this, students can collect content from formal and informal environments, edit it, and share their own cultural content that comes from the historical-cultural setting of the local community in which they live and operate. Culture Gate Collector can enhance mobile learning, as well as situated learning. This paper makes reference to the developmental philosophy behind Culture Gate and Culture Gate Collector, their educational and technical capabilities, and proposals for their optimal utilization in informal learning environments.
The Card-Board DIY Microcontroller for Use with Paper Mechatronics (Resource Exchange)

He researches the development of STEM practices
METHODS OF FRACTAL ANALYSIS AND PHASE TRAJECTORIES FOR THE IMPROVEMENT OF IDENTIFICATION OF COMPLEX TECHNICAL SYSTEMS

The procedure of the qualitative analysis of complex technical systems is discussed.One may use such methods of analysis for time series characterized the functioning of such systems.These time serious aren't confirmed the hypothesis of trend existence.One may use at this qualitative analysis the methods of nonlinear dynamics and the theory of chaos.The basis for similar researches is Takens's theorem.The randomness of the studied dynamical system as the model of the complex technical system given by time realizations is established by means of Lyapunov's indicator.The state stability is estimated by Hausdorf's fractal dimension and the fractality index.Visual evaluation of the time series was carried out by means of the phase trajectory restoration procedure.As a result of the analysis of the phase points in the phase space the split attractor is indicated, which gives the chance to speak about its bifurcation.
PELATIHAN SISTEM INFORMASI REKAM MEDIS DI PUSKESMAS PEMBANTU PEJUKUTAN, NUSA PENIDA BALI

Pejukutan village is one of the villages in Nusa Penida sub-district, Klungkung regency, Bali province. In the health sector in this village there is a Helper Health Center. Pejukutan Supporting Health Center is one of the agencies engaged in the field of public health that helps Puskesmas I Nusa Penida. The Pejukutan Supporting Health Center has only one health worker (nurse) in handling all health services located in the village of Pejukutan Nusa Penida District, Klungkung Regency. The service system of the Public Health Center of Pejukutan is still using a conventional system, namely the processing of patient medical record data which still uses bookkeeping or manual media which is then recapitulated by health workers to make medical reports. In addition the outpatient service process is often hampered because the process of searching outpatient medical records data by manual is quite long. To overcome this, an electronic-based medical record system was developed. This information system is made with a code ignitter framework. To run it requires a web browser like Mozilla or chrome. The realization of the application of the medical record information system at the Pejukutan health center, Pejukutan village, Nusa Penida, Klungkung Bali has been successfully carried out. This medical record system is felt to be more effective and efficient by officers when compared to the old reporting method.
Observation on the Quality of Lecturer Performance Based on Computer Self-Efficacy, Organizational Culture and Motivation

Lecturer performance in Indonesia based on accordance with publication was not sufficiently high as low as its citation level.This is caused by several factors such as individual competence, amount of effort, computer self-efficacy, organizational culture, and motivation.This article reveals how much the effect of lecturer's computer self-efficacy, organizational culture, and motivation toward the quality of lecturer performance.The amount of effect will be measured both simultaneously and partially.Data collection in this study used a survey method involving 37 lecturers as samples.Data is then analyzed using multiple regression analysis and path analysis.The result of this research showed that computer selfefficacy on lecturers' organizational culture and motivation simultaneously give a positive and significant effect on the quality of lecturer performance.The information technology and organizational culture partially give a positive and significant effect on the quality of lecturer performance.Meanwhile, lecturer motivation has a negative effect on lecturer performance.
USE OF MIND MAPPING METHOD IN LEARNING WRITING TEXT EXPLANATION

Abstract : The purpose of this study was to determine the increase in interest and writing skill of explanation text using mind mapping method in students of Nusawungu State Vocational School. This research is a classroom action research conducted in two cycles. Research subjects were students and teacher of Indonesian language class at grade XI. Data sources in this study included: learning events, informants, and documents. Data collection technique through: observation, interviews, tests, and document analysis. Validity test of the data used triangulation techniques and data source methods. Data analysis techniques used in this study were comparative descriptive techniques and critical analysis. The use of mind maping method was proven to increase students' interest in learning to write explanatory texts. The percentage of students' interest in pre-cycle was 52.94%, cycle I was 67.64%, and cycle II was 88.24%. The use of mind mapping method has also succeeded in improving writing skill of explanation text. This can be seen from the average score obtained by students. In pre-cycle, the average score of students is only 65.79. In cycle I it became 74. In cycle II, the average score of students became 79.79. Based on these results it can be concluded that the use of mind mapping methods can improve the process and learning outcomes of students in writing explanatio texts. Keywords : Mind Mapping Method, Learning, Explanatory Text.Abstrak : Tujuan penelitian ini adalah untuk mengetahui peningkatan minat dan keterampilan menulis teks eksplanasi menggunakan metode mind mapping pada siswa kelas XI SMK Negeri Nusawungu. Penelitian ini merupakan penelitian tindakan kelas yang dilaksanakan dalam dua siklus. Subjek penelitian adalah siswa dan guru bahasa Indonesia kelas XI SMK Negeri Nusawungu. Sumber data dalam penelitian ini meliputi: peristiwa pembelajaran, informan, dan dokumen. Teknik pengumpulan data melalui: observasi, wawancara, tes, dan analisis dokumen. Uji validitas data menggunakan teknik triangulasi metode dan sumber data. Teknik analisis data yang digunakan dalam penelitian ini adalah teknik deskriptif komparatif dan analisis kritis. Penggunaan metode mind maping terbukti dapat meningkatkan minat siswa dalam pembelajaran menulis teks eksplanasi. Persentase minat siswa pada prasiklus sebesar 52,94%, siklus I sebesar 67,64%, dan siklus II sebesar 88,24%. Penggunaan metode mind mapping juga berhasil meningkatkan keterampilan menulis teks eksplanasi. Hal ini terlihat dari nilai rata-rata yang diperoleh siswa. Pada prasiklus, nilai rata-rata siswa hanya 65,79. Pada siklus I menjadi 74. Pada siklus II, nilai rata-rata siswa menjadi 79,79. Berdasarkan hasil tersebut dapat disimpulkan bahwa penggunaan metode mind mapping dapat meningkatkan proses dan hasil pembelajaran menulis teks eksplanasi siswa.Kata kunci: Metode Mind Mapping, Pembelajaran, Teks Eksplanasi.
EXPLORING THE SCIENTIFIC PHILOSOPHY AND APPLICATION OF THE LANGLANDS PROGRAM CIRCULAR LOGARITHM ALGORITHM : UNRELATED MATHEMATICAL MODELS ARE SOLVED IN THE 0 TO 1 INTERVAL

In this paper I explore the scientific philosophy of the Langlands Program and propose a circular logarithm algorithm called -mathematical relativity".Defining functions (groups, algebraic geometric numerical equations, circular logarithmic equations) are infinite "element-factors" of uncertainty that are not repeated combinations-switch-topology-sets.I also prove symmetry and asymmetry, unity, isomorphism, relative symmetry, zero point, parallel/serial, equivalent permutation, normalization etc. of the Reciprocity Theorem.Besides, I establish circular Logarithmic equation with the eccentric elliptic function as base and perform arithmetic solution of the unrelated mathematical model within [0 to 1] interval.Application examples: unification of functions, unification of physical formulas, three-body problems, ecological-biochemical problems, unification of natural forces, qubit equations, digitally simulated cosmic equations, parity non-conservation, etc., which reflect the profound autonomy of function-circular logarithms and extensive scientific fields Make unified tacts.
CRYPTOCURRENCY IN THE NEW ECONOMY: PROBLEMS AND PROSPECTS

For a couple of years, the cryptocurrency has made a splash in the world of economy, turning from virtual money into a huge market in its size and creating a new full-fledged ideology of money-cryptoeconomy.Cryptocurrency has a huge potential for development.Cryptocurrency is a digital currency that uses encryption technology to transfer value over the Internet.But today cryptocurrency is trading that most meets the needs of modern society.This form of currency works independently of the banking system and can use in many countries as cash.The relevance of the study is whether cryptocurrency has a positive impact on the development of the economy.The purpose of this article is studying the impact of the process of introduction and use of cryptocurrencies in the economy of Kazakhstan.This process is intensively developing.The key issue for a deeper understanding of the role cryptocurrency is determining their economic nature.Research methods include the stage of cryptocurrency analysis affecting the financial sector, the dynamics of the cryptocurrency market and the overall analysis of assets.For analysis, we paid attention to five cryptocurrencies with the largest capitalization and a large amount of data.The analysis revealed the main factors affecting the market price of cryptocurrency and ways to eliminate them.In addition, the main problems of introducing cryptocurrencies in Kazakhstan, such as the process of regulation of the cryptocurrency market identified and prospects analyzed.A new form of cryptocurrency uses proposed.