Reviewerly/exHarmony huggingface dataset:
Digital Transformation of Science and Education: International Conference in Tashkent

The article is devoted to the scientific and practical conference with foreign participation "The importance of digital technologies in the study of the history of Uzbekistan", held by the Department of History of Uzbekistan of the Mirzo Ulugbek National University of Uzbekistan on September 28, 2022. The introduction of digital technologies in science and education is a necessary condition for the development of society in the context of digital transformation. To train modern specialists in all areas of education, it is necessary to use digital technologies in educational programs at the university and postgraduate levels, as well as in research activities. Today, virtual museums, creative exhibitions, various online conferences are organized in Uzbekistan, which contribute to the rapprochement of peoples and actively attract young people. All this was discussed at the conference. About 100 reports on the main directions of digital transformation of science and education were presented at the conference. Special attention was paid to virtual reconstructions of cultural and historical heritage, digital technologies in archeology, informatization and digital technologies in historical education. The conference supported the efforts of Uzbek universities to form a unified scientific and educational space and called for extensive training of specialists using digital methods in historical science and education. The participants of the conference noted the high level of its holding and organization and proposed to make the conference traditional – to hold it every two years.
Research on the Teaching Design of Problem Chain for Professional Ability Improvement

As a basic cultural course, mathematics course in vocational education should not only lay a good foundation for students, but also cooperate with professional courses, organically integrate professional spirit and form educational resultant force.The problem chain teaching based on the improvement of professional ability provides a field for cultivating outstanding professional quality, and the problem chain education with the goal problem as the main line provides an effective way to cultivate the core quality of mathematics.Adopting the cone volume model method to solve the problem of professional bartending is helpful to cultivate students' ability to solve practical problems and lay a good foundation for students' sustainable development.
A Bibliometric Analysis of DevOps Metrics

DevOps has become an important set of organisational and technical practices in software development under the agile umbrella. Many efforts are still being made in this field, mainly focused on the inclusion of metrics for monitoring progress. Gathering metrics is a difficult task, but it can provide insight into the performance of the software delivery process. The current status of the definition, application and implementation of metrics in DevOps projects and processes is of interest to software practitioners. Thus, the objective of this article is to analyze documents regarding the impact of metrics in DevOps projects. 103 documents were obtained from the Scopus database to analyze them through the bibliometric method considering several aspects. The bibliometric analysis performed included author analysis, author affiliation, authors’ countries, keyword analysis, citation analysis, and network analysis. The results indicate that DevOps research is not centralized in a specific group of researchers. Moreover, the most significant contributions of DevOps are related to continuous integration, software design, and software testing. The bibliometric analysis presented in this article helps to identify the current state of the DevOps literature and provides an insightful discussion of future research trends.
THE PROBLEM WITH COMPUTER ACCOUNTING ONLINE LEARNING FOR STUDENTS OF SMKN 2 KOTA MADIUN

&lt;p class="JurnalASSETSABSTRAK"&gt;&lt;strong&gt;ABSTRACT&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Online learning is distance learning between students and teachers using laptop/computer/mobile devices and internet networks. Distance learning cannot be separated from the problems faced by students starting from learning facilities, motivation, and learning activities. It will have an impact on students' understanding of accounting computer materials. This study aimed to analyze the problem of online learning regarding motivation, activity, and student learning facilities toward understanding computer accounting learning materials. This research method uses ex post facto primary data using questionnaires distributed to vocational students. The data analysis technique uses SEM analysis with the SmartPLS tool. The results of this study indicate that students' motivation, activity, and facilities significantly positively affect their understanding of learning materials during online learning.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;ABSTRAK&lt;/em&gt;&lt;/strong&gt;&lt;br /&gt;&lt;em&gt;Pembelajaran daring merupakan pembelajaran jarak jauh antara siswa dan guru menggunakan peralatan laptop/komputer/handphone dan jaringan internet. Pembelajaran jarak jauh tidak lepas dari permasalahan-permasalahan yang dihadapi oleh siswa mulai fasilitas belajar, motivasi dan keaktifan belajar. Hal ini akan berdampak terhadap pemahaman siswa terhadap materi komputer akuntansi. Tujuan penelitian ini untuk menganalisis problem pembelajaraan daring ditinjau dari motivasi, keaktifan dan fasilitas belajar siswa terhadap pemahaman materi pembelajaran Komputer Akuntansi. Metode penelitian ini menggunakan penelitian ex post facto data primer dengan menggunakan kuesioner yang disebarkan kepada siswa SMK. Teknik analisis data menggunakan analisis SEM dengan alat SmartPLS. Hasil penelitian ini menunjukkan bahwa motivasi, keaktifan dan fasilitas siswa berpengaruh positif signifikan terhadap pemahaman materi pembelajaran selama pembelajaran daring.&lt;/em&gt;&lt;/p&gt;
The influence of supportive work environment and organisational culture on the information technology competency of external auditors in a developing economy

The main focus of the present study was to investigate the relationship between supervisor support, organisational support, organisational culture, and information technology (IT) competency. For this purpose, data were collected from 328 external auditors in the Yemeni private and public sectors by using a questionnaire. The SmartPLS 3 has been used in analysing the data, based on the partial least squares-structural equation modeling (PLS-SEM). Organisational support theory (OST) has been employed as an underpinning theory. The findings of the paper indicate a positive connection between organisational support, organisational culture and IT competency. This paper contributes to the current literature by recognising the supportive work environment-missing connections in the form of supervisory support and organisational support on IT competency for external auditors. The findings are, therefore, valuable for managers to develop organisational policies, procedures, and practices that support employee needs and then invest in training the employees.
THE DESIGNING OF ANDROID-BASED SMART RT-RW INFORMATION SYSTEM PERUMAHAN PERMATA DEPOK REGENCY, KELURAHAN RATU JAYA, DEPOK, INDONESIA

The monograph is a detailed administration of statistics on government and human resources. As the smallest form of government, the RT/RW performs administrative services in the form of RT/RW cover letters, monographic population data when needed to collect data on potential citizens, economic status, assistance and health data. For RT/RW cover letter service facilities, every citizen certainly expects a fast and precise service. For this reason, the RT/RW administrators need supplements to make it easier for them to provide services to the community, namely the development of an application that can support the performance of the RT/RW especially in citizen administration facilities. By developing a citizen information system then all needs related to citizens can be accommodated online, especially in the most basic matter, namely the management of citizen data. The main problems faced by RT 01 and RT 03, RW 11 Permata Depok Regency are data that is not properly updated, financial reports that are not transparent, it is difficult to request data from residents, some data in hardcopy form is easily lost, various information is not conveyed to residents , the mailing service can not be fast. The main goal of the Community Service Team for the Kegiatan Kampung Bangkit (KKB) of Universitas Satya Negara Indonesia is to provide solutions to partners problems by creating a prototype of a smart RT/RW management system in the form of an Android-based Smart RT-RW Information System Design (SIAR). The activities were carried out in order to observe the needs of the residents, develop the SIAR (Citizen Administration Information System) application, socialize and train the residents to use the application. The results of this Community Service activity worked well. The residents were enthusiastic and satisfied with these activities based on the testimonials that were carried out. Applications are very useful for managing citizen data in a detailed and sustainable manner.
Mediated Effect of Mentoring with Functional Elements of Metaverse Learning on Cultural Motivation

The purpose of this study is to identify the mediated effect of mentoring between the functiona elements and cultural motivation of college students in the metaverse learning and to derive the educational implications. For this, survey was conducted on 202 college students at a private university in Chungbuk. In this study, the significance of the mediated effect was examined by using the structural equationmodel analysis (SEM) and bootstrap analysis. As a result of the study, first of all, functional elements in the use of metaverse turned out to be analyzed not to influence cultural motivation of users. Second, metaverse learning user mentoringwas analyzed to positively influence culturalmotivation of users. Third,mentoring of userswas analyzed to have themediated effect on the influence of educational function on cultural motivation of users inmetaverse learning. Hereupon, it turned out that functional elements including interest-stimulating design, user control function, and responding speed influenced cultural motivation of learners when designing metaverse English learning. In addition, mentoring of metaverse learning turned out to have themediated effect on culturalmotivation of users aswell asmetaverse English learning function.
Prediksi Predikat Kelulusan Mahasiswa Menggunakan Naive Bayes dan Decision Tree pada Universitas XYZ

The success of universities in managing learning standards can be seen from the number of students who can graduate with high predicates and on time. The graduation predicate of a student is influenced by several factors. This study aims to find out the profile of students who graduated with a set predicate and what are the factors that influence it. The method used in this study is the Cross Industry Standard Process for Data Mining CRISP-DM by utilizing the Naïve Bayes algritma in looking for graduate predicate patterns and Decision Tree in looking for causative factors. In the calculations using the NBC algorithm it was found that the profiles of students who passed the predicate were less satisfactory, satisfactory, very satisfactory and with praise . In the Desicion Tree calculation, the highest gain value is obtained at the attributes of IPK4, IPS5 and IPK5. The factors that most influence graduation are the cumulative achievement index in semesters 4 and 5 and the achievement index in semester 5. The pattern of graduating with predicate can be known from the second year of the incoming student to the third year. This research needs to be developed again by increasing the number of attributes and data, and it is necessary to create a system for determining student graduation predicates from the patterns that have been produced in order to help universities to improve the quality of student graduation in each period.
Thermodynamically consistent master equation based on subsystem eigenstates

Master equations under appropriate assumptions are efficient tools for the study of open quantum systems. For many-body systems, subsystems of which locally couple to thermal baths and weakly interact with each other, the local approach provides a more convenient description than the global approach. However, these local master equations are believed to generate inconsistencies with the laws of thermodynamics when intersubsystem interactions exist. Here we develop an alternative local master equation by virtue of similar approximations used in deriving the traditional Gorini-Kossakowski-Lindblad-Sudarshan master equation. In particular, we stick to using eigenstates of each subsystem to construct quantum jump operators, and the secular approximation is also employed to modify the intersubsystem interactions. Our results show that violations of thermodynamic laws will be avoided after correcting intersubsystem interactions. Finally, we study a two-qubit heat transfer model and this further shows the validity of our modified master equation.
ICT TOOLS FOR TEACHING AND RESEARCH IN CHEMISTRY

Chemistry is the discipline of study of atoms & molecules and their properties due to which chemistry have lot of applications from agricultural sector to the chemical industries.In present scenario, the computer is just an essential tool as the test tube for chemists.The employment of ICT for teaching and research is compulsory for the overall development in the field of chemical science.Now-a-days, chemistry laboratories are using a lot of softwares which run under the various operating systems like Windows, Mac, UNIX, and Linux.In this paper, some tools of ICT which are helpful to draw chemical structures, , to realize the structure of chemical bonds, molecular design and 2d & 3D visualization of chemical structural formula are discussed.
Self-Assessment and Working time on Nut Size Distinction Skill of Marine Engineers

A rule of thumb for marine engineers is that if a marine engineer has much experience in maintaining machines, the marine engineer can distinguish the size of the tool (spanner or wrench) required for removing machine nuts or bolts by mere observation [1]. This study investigates whether this rule of thumb is related to self-assessment and working time for the distinction of nuts. The participants in this experiment were marine engineering students without practical experience. The experiment included visual and hand conditions. The experiment place was not only a ship engine room but a training room where noise, high temperature, and the smell of fuel oil in the marine engine plant were not experienced by the students. The results showed that the number of the nuts accurately distinguished was unaffected by working hours and self-assessment of the participants who had a boarding history of 12 months on the training ship. Safe operation on marine engine plants must rely on the skills of marine engineers, such as a nut size distinction skill.
Supplementary material to "Probing environmental and tectonic changes underneath Ciudad de México with the urban seismic field"

This supplementary document provides additional information about the methodology used in the study, in particular the waveform clustering technique, the variable reference for the monitoring approach, and the Bayesian inversion.We also provide the following additional figure to support the main manuscript statements:-Figure S1: Comparison of waveform clustering results for phase auto-correlation and raw auto-correlation -Figure S2: Rule-base 1-D velocity model, examples -Figure S3: Surface wave phase velocity sensitivity kernels with respect to isotropic shear wave velocity -Figure S4: Effect of hydraulic diffusivity and Poisson ratio on estimated pore pressure changes -Figure S5: Results of Monte Carlo inversion (RSVM network) -Figure S6: Results of Monte Carlo inversion (temporary TO deployment) -Figure S7: Elliptical particle motion 2 Auto-correlation waveform clusteringWe adopt the correlation waveform clustering strategy by Viens and Iwata (2020) based on Gaussian Mixture Models, principal component analysis (PCA) for dimensionality reduction, and the Bayesian Information Criterion (BIC) for determining the optimal number of clusters.We introduce the following modifications, which adapt the clustering to urban seismic noise: First, we apply the clustering separately to each octave bands between 0.5 and 8 Hz: 0.5-1 Hz, 1-2Hz, 2-4Hz, and 4-8 Hz.We do
Probability Study on Privacy-Preserving Methods in Fact Mining

Protection of security and privacy has long been a topic of public discussion. However, quick technological advancements, the rapid development of the internet and virtual space, and the development of more advanced state-of-the-art methods of obtaining, researching, and using private information have made privacy a top concern for the general public and the government. The field of data mining is becoming more important due to the availability of vast amounts of records that can be easily collected and stored through computer architecture. Recent years have seen an enormous increase in the amount of data collected through different channels, including a great lot of private information. When private and sensitive data are published and/or analyzed, it's important to consider whether or not the analysis infringes the privacy of the data subjects. People whose records is noted. the significance of statistics that may be used to growth earnings cuts fees or every. information mining software program software program is one in each of some of analytical equipment for analyzing information. Let the clients to analyze records privacy is growing continuously. We will specific safety and privacy issues for net databases and offerings. Finally, some commands in the direction of growing a cozy semantic net may be furnished.
Detection of Fake Profiles on Social Networks using Machine Learning ANN &amp; SVM Algorithms

Social Networks plays an important role for internet users to carry out their daily activities like content sharing, news reading, posting messages, product reviews and discussing events etc. At the same time, various kinds of spammers are also equally attracted towards these social media. These cyber criminals including sexual predators, online fraudsters, advertising campaigners and trollers etc. These guys are creating fake profiles to spread their content and carry out for scams. All these malicious identities are very harmful for both the users as well as the service providers. From the social media service providers identify those accounts and check it is genuine or fake. In this Paper we proposed many classifications algorithm like support vector machine algorithm and neural network. These algorithms help to detect the fake profiles on social media.
Factors Influencing on Prevention Behaviors in Crisis of a Novel Infectious Disease in Gyeongsangnam-do Residents

This study was conducted to identify influencing factors on COVID-19 prevention behaviors to manage COVID-19 in Gyeongsangnam-do. The survey was carried out using a method of self-reported questionnaire between February and March in 2021 to 457 adults selected through convenience sampling in 6 randomized regions in Gyeongsangnam-do. The tool was a Likert scale used to measure health beliefs and COVID-19 prevention behaviors. Collected data were analyzed for descriptive statistics, t-test, ANOVA, correlation, and multiple regression using SPSS WIN21.0 program. The study results showed that the degree of COVID-19 prevention behaviors was 3.40±.38 points (out of 4) on average. The influential factors of COVID-19 prevention behaviors included the degree of perception of COVID-19 (β=.34, p&lt;.001), cues to action (β=.16, p&lt;.001), perceived severity (β=.15, p=.002), perceived barriers (β=.15, p&lt;.001), and perceived benefits (β=.14, p&lt;.001), and their explanatory power was 33.8% (F=26.78, p&lt;.001). In conclusion, it is suggested that we use strategies to improve the perceptions of COVID-19 so as to effectively perform COVID-19 crisis management in Gyeongsangnam-do.
Understanding Errors in Auxiliary Verb Usage in Korean Primary Students and Young Native English Speaking Children

In this paper, the four possible language acquisition models(the Structure Building Model, the Truncation Model, the Underspecification Model, the Linking Mechanism Switching Model) are considered to examine the auxiliary verb errors produced by the young native English speaking children(L1 young children) and the Korean primary students of English. The prefunctional stage analyses such as the Structure Building Model and the Truncation Model have shown the limitations in explaining the examples such as the interpretation of wh-questions without CP, the movement of default Case subjects within VP without TP and the wh-movement in the utterance of L1 young children, and the difficulties in accounting for the auxiliary verb errors in the Korean primary students over 10 years old, The Underspecification Model has also shown the limitations in explaining the auxiliary verb be insertion errors appearing in Korean primary students’ writings, but not in L1 young children utterance. As a last resort, under the Linking Mechanism Switching Model, it is argued that, unlike English, the syntactic feature checking and agreement in Korean are operated by Merge and Binding rather than Agree and Move. Thus, both L1 young children and Korean primary students have the same syntactic structures based on UG, but the different linking mechanisms of their first languages affect to some extent the process of acquiring English as a first or foreign language. This analysis makes it possible to explain not only the auxiliary verb be insertion errors appearing only in Korean primary students’ writings, but also the similar auxiliary verb errors between L1 young children and Korean primary students. This theoretical study of the auxiliary verb errors needs more experimental studies based on empirical data. However, this theoretical approach is expected to be of a great help in understanding the syntactic processing used by L1 learners and L2 learners.
PELATIHAN PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS MULTIMEDIA UNTUK MENINGKATKAN KUALITAS DAN KREATIVITAS GURU SMA NEGERI 1 LHOKSEUMAWE

Advances in information technology are one of the potentials that are useful in improving learning methods. Currently, content and media that are directly related to science can be more interactive and interesting for students to trigger interest in learning. Internet technology can remove limitations in various information and provide learning materials more easily. However, there were still many teachers who focus on traditional and oral teaching approaches, even using less learning media. The use of learning media is very important for the teaching and learning process and the role of the media can be used in every discipline to enhance learning in the classroom and outside the classroom. The problems that have arisen so far indicate that teaching uses abstract concepts were not easy to be presented in both verbal and visual forms. Another goal was that visual media can be more easily understood and be easily accessed by students than text media. Therefore, another goal of this service was to train educators at SMA 1 Lhoksemawe to become more familiar with the latest learning media to be applied in the teaching and learning process. From the results of this communty service it is expected that teachers can use several multimedia in learning which is a combination of text, graphics, animation, images, video and audio which help students understand the material more easily.