Reviewerly/exHarmony huggingface dataset:
Supremum Distribution of Weighted Sum of Random Processes from Orlicz Spaces of Exponential Type with Continuous Deviation

The paper studies distribution of sum of random processes from Orlicz spaces of exponential type weighted by continuous functions, in particular, processes from spaces Subϕ (Ω), SSubϕ (Ω) and class V (ϕ, ψ) are considered. Such spaces and classes of random variables and corresponding stochastic processes provide generalizations of Gaussian and sub-Gaussian random variables and processes and are important for various applications, for example, in queuing theory and financial mathematics. We derive the estimates for the distribution of supremum of weighted sum of such processes deviated by a continuous monotone function using the entropy method. As examples, weighted sum of Wiener and weighted sum of fractional Brownian motion processes with different Hurst indices from classes V (ϕ, ψ) are considered. Corresponding estimates of the probability of exceeding by trajectories of such weighted sums a positive level determined by a linear function are obtained. In the insurance risk theory, such aproblem arises during estimating a ruin probability of the corresponding risk process with a constant premium income, and in the communications theory, it appears for the buffer overflow probability for a single server with a constant service rate.
The Effect Of Corporate Social Responsibility On Corporate Image Of PT Pertamina Geothermal Energy Area Kamojang (Study of the Kamojang Regional Communities)

This study aims to find out how Corporate Social Responsibility (CSR) and the corporate image of PT Pertamina Geothermal Energy Area Kamojang are, and how much influence CSR has on the corporate image of PT Pertamina Geothermal Energy Area Kamojang. This study used an explanatory survey method with a sample of 177 which were analyzed using descriptive statistics and simple linear regression. The results of the study stated that the influence of Corporate Social Responsibility on corporate image was 19.6%, while the remaining 80.4% was influenced by other factors. This research can be improved again by adding other variables and increasing the sample size and involving more stakeholders such as company employees and managers.&#x0D;
A Study on the Contents of education of Japanese Korean learners ‘-고 있다’ and ‘-아/어 있다’

‘-고 있다’, ‘-아/어 있다’는 일본어의 ‘-ている(-teiru)’로 번역되며 이로 인해 일본인 한국어 학습자가 두 문법을 혼동하는 경우가 많다. 따라서 본고는 일본인 한국어 학습자의 ‘-고 있다’, ‘-아/어 있다’에 관한 교육 내용 및 오류 양상을 살펴보았다. 그 결과 한국 대학 기관의 한국어 교재에서는 ‘-고 있다’, ‘-아/어 있다’를 별도의 과에 수록하였고 두 문법의 차이점을 제시하지 않았다. 일본 대학 기관의 경우 ‘-고 있다’, ‘-아/어 있다’를 한 책에 수록하고 차이점을 제시한 교재도 있었다. 일본인 한국어 학습자를 대상으로 설문 조사를 실시한 결과 [상태의 지속]을 의미하는 ‘-아/어 있다’를 ‘-고 있다’로 응답하였다. 이는 한·일 동사 성질의 차이에 따른 결합 제약 때문임을 알 수 있었다. 이 결과를 바탕으로 두 문법의 차이점을 명확하게 구분하여 사용하도록 교육 방안을 제안하였다.‘-고 있다' and ‘-아/어 있다' are translated into Japanese ‘-ている' which is often used by Japanese Korean learners by confusing the two grammar. Therefore, this paper examined the educational contents and error patterns of Japanese Korean learners on ‘-고 있다' and '-아/어 있다'. As a result, Korean language textbooks at Korean university institutions contain ‘-고 있다' and ‘-아/어 있다' in separate departments, and no textbooks suggest differences between the two grammar. Japanese university institutions included ‘-고 있다' and ‘-아/어 있다' in one book, and there were textbooks that suggested differences. As a result of conducting a survey of Japanese Korean learners, they responded with ‘-고 있다', which means ‘continuation of state', as ‘-아/어 있다’. It can be seen that this is due to the attaching restriction according to the nature of the verb. Based on these results, an educational plan was proposed to clearly distinguish and use the differences between the two grammar.
A study on acquisition of relative clauses by Korean learners based on the Noun Phrase Accessibility Hierarchy(NPAH)

이 연구는 언어유형론적 접근으로 Keenan & Comrie(1977)에서 제기한 NPAH 계층을 한국어 관계절에 적용하여 검증함으로써 NPAH가 한국어 학습자의 관계절 습득에 설명력이 있는지에 대한 추가적인 검증 결과를 제시하는 데 목적이 있다. 이를 위해 한국어 고급 학습자와 모어 화자 통제 집단을 대상으로 문법성 판단 테스트로 실험을 진행하였다. 연구 결과, 한국어 관계절에서 관계화에 접근 가능한 명사구의 문법적 기능에 대한 학습자들의 습득 순서는 “IO > DO > SU > OBL”로 나타나 SU 위치에서의 관계절 습득이 DO보다 더 용이하다고 주장하는 NPAH 계층을 따르지 않음을 보여주었다. 본 연구의 실험 결과가 제2언어 습득 연구에서 한국어 학습자들의 관계절 습득 현상과 NPAH 계층에 대한 검증 자료로 보태어질 수 있는 데에 의의가 있을 것이다.This study, as a linguistic typological approach, applies and verifies the NPAH hierarchical structure proposed by Keenan & Comrie (1977) to relative clauses, thereby providing additional results on whether NPAH can explain the phenomenon of Korean learners' acquisition of relative clauses acquisition. To this end, an experiment was conducted through a grammatical judgment test targeting Korean learners and a control group of Korean native speakers. As a result of the study, the order of learners' acquisition of the grammatical function of noun phrase accessibility hierarchy in Korean relative clauses was “IO > DO > SU > OBL”, showing that it does not follow the NPAH hierarchy, which claims that acquisition of the relative clauses at the SU position is easier than the DO. The experimental results of this study will be meaningful in that they can be added as verification data for the acquisition of relative clauses and the NPAH hierarchy of Korean learners in second language acquisition research.
IMPLEMENTASI METODE PROTOTYPE PADA SISTEM INFORMASI DIGITAL ANGKRINGAN BERBASIS WEB DI KECAMATAN MAYONG

Information systems are designed to provide information that interacts systematically and regularly, to make it easier for information seekers to obtain the information they want. Branding can be used to introduce the company's brand and build a positive image and company reputation so that it is always good in the eyes of consumers. Research on Digital Information Systems for Angkringan in Mayong District was designed with the aim of adding and displaying a floor plan of the locations of the angkringan in the Mayong sub-district along with their menus and also the conditions of the surrounding scope so that it can make it easier for people to choose and find the location of the angkringan as desired. The prototype method is used in making this application with the stages: (1) Communication, (2) Quick Plan, Modeling and Quick Design, (3) Construction of Prototype, (4) Development, Delivery and Feedback. This method is proven to facilitate the creation of an angkringan digital information system. The prototype method can be used well in developing web-based angkringan applications in Mayong District. The angkringan digital information system in Mayong District can display angkringan lists, angkringan addresses, angkringan products, whatsapp links and angkringan google maps.
Semi-Supervised Learning with Pseudo-Labeling for Pancreatic Cancer Detection on CT Scans

Deep learning techniques have recently gained increasing attention not only among computer science researchers but are also being applied in a wide range of fields. However, deep learning models demand huge amounts of data. Furthermore, fully supervised learning requires labeled data to solve classification, recognition, and segmentation problems. Data labeling and annotation in the medical domain are time-consuming and labor-intensive. Semi-supervised learning has demonstrated the ability to improve deep learning performance when labeled data is scarce. However, it is still an open and challenging question on how to leverage not only labeled data but also the huge amount of unlabeled data. In this paper, the problem of pancreatic cancer detection on CT scans is addressed by a semi-supervised learning approach based on pseudo-labeling. Preliminary results are promising and show the potential of semi-supervised deep learning to detect pancreatic cancer at an early stage with a limited amount of labeled data.
Penerapan Model Pembelajaran Kooperatif Tipe Stad dengan Berbantuan Media Balok Hitung, Meningkatkan Hasil Belajar

The formulation of the research problem is how the learning process, increasing learning outcomes knowledge and place value skills, and changes in student behavior by applying the STAD (Student Teams Achievement Division) cooperative learning model with the help of counting blocks as media. This research was conducted in two cycles, each cycle three meetings. The subjects of this study were class I students at SD Negeri Podosugih 01 Pekalongan City even semester of the 2021/2022 academic year. There was an increase in the average score from 82 in cycle I to 93 in cycle II, accompanied by a change in behavior for the better
Solution Optimal Transportation Problems Using the Sirisha Viola Modification Method Python assisted programming

One of the problems that exist in operations research is the problem of transportation. This study proposes the completion of the optimal solution in the transportation problem using the Modified Method of the Sirisha Viola method. The method proposed hereinafter is called the Sirisha Viola Modified Method . The algorithm in this method is the same as in the Sirisha Viola method but differs in the allocation step, where the allocation is made to the minimum demand first, then compared with the corresponding supply value. The data used in this study consisted of secondary data and simulated data (random data). The results of numerical calculations or using the help of the Python program for secondary data obtained an optimal solution of 12,100 cost units. Whereas for random data consisting of 4 0 balanced data and 40 unbalanced data with sizes 10 x 10, 13 x 17, 25 x 27, and 50 x 50 the optimal solution results are obtained. It is concluded that the Sirisha Viol a Modification Method in solving transportation problems can produce optimal solutions directly without the need to determine the initial feasible solution.
Construction of Two Classes of Minimal Binary Linear Codes from Definition Sets

Linear codes have wide applications in many fields such as data storage, communication, cryptography, combinatorics. As a subclass of linear codes, minimal linear codes can be used to construct secret sharing schemes with good access structures. In this paper, we first construct some new classes of linear codes by selecting definition set properly. Then, the lengths, dimensions and the weight distribution of the codes are determined by investigating whether the intersections of the supports of vectors and the definition sets are empty. Results show that both wide and narrow minimal linear codes are contained in the new codes. Finally, we extend some existing results to general cases.
The Effect of MBKM Policy on student activities outside the Campuss at Universitas Narotama

Merdeka Belajar Kampus Merdeka (MBKM) is a policy of the Minister of Education and Culture which aims to encourage students to master various sciences to enter the world of work.The Independent Learning Policy-Independent Campus is in accordance Law of the Republic of Indonesia No. 3 of 2020 concerning National Higher Education Standards.The policy provides opportunities for students to learn autonomously or independently and be responsible for themselves.Students have the right to take part in learning outside the study program on
Knowledge Sharing (KS) Strategy and Operational Performance in University of Uyo Teaching Hospital, Uyo - Nigeria

This study examined the effect of knowledge sharing strategy and operational performance at the University of Uyo Teaching Hospital, Uyo -Nigeria.In the study, we used the proportional sampling technique to determine the respondents.The clinical staff of the University of Uyo Teaching Hospital was used as respondents.We got a sample size of 400 clinical staff from a population size of 798 via the administration of four hundred and fifty (450) copies of the questionnaire to selected clinical staff.Thus, we employed frequencies; Linear Regression Model, and Morphological Analysis for data analysis.The findings revealed that knowledge sharing has a statistically significant effect on the operational performance of a tertiary hospital (p-value < 001).The morphological analysis revealed that technology is the key driver of knowledge sharing in the organisation.Regrettably, the use of technology in knowledge sharing at the University of Uyo Teaching Hospital is rather very low.We conclude that knowledge sharing practices have a significant effect on the operational performance of the University of Uyo Teaching Hospital.We also conclude the low knowledge sharing capabilities of the University of Uyo Teaching Hospital are because of poor technology utilization in knowledge management.Thus, we recommend that the University of Uyo Teaching Hospital should increase knowledge sharing through the extensive and diverse use of technology as such actions can lead to increased operational performance.
An Approach to Automation of the Principle of Insignificance based on Fuzzy Descriptive Logic

With the advances in the applications of Artificial Intelligence to Law, tasks such as the representation of legal knowledge for organization/structuring, indexing/searching, and decision-making gain more space due to cost reduction, reduction of liabilities, and faster lawsuit applications. However, legal knowledge, such as laws and legal principles (such as the principle of meaninglessness or trifle), is generally subject to various semantic and syntactic anomalies with the presence of vagueness in its wording. One of the ways to automate processes, on the other hand, is using models and applications in descriptive logic, which has been conveniently used in Semantic Web applications because it is a decidable logic and with a higher level of expressiveness than classical propositional logic. On the other hand, Fuzzy Logic has been used since the last century in situations where knowledge needs to be understood in degrees of pertinence, given the present inaccuracies. This work, therefore, aims to propose an application based on fuzzy descriptive logic for the automation of the principle of insignificance. Furthermore, we also present the benefits and difficulties encountered when modeling applications in the legal domain through this logic.
kM++kNN : A fast algorithm for the exact search of k-nearest neighbors

The k-NN algorithm - k-nearest neighbor - is widely used in Machine Learning and Statistics for tasks involving classification and regression. Having as inputs an instance x, a set of instances T and an integer $k \geqslant 1$, the k-NN performs an exhaustive search in T of the k instances most similar to instance x (k-nearest neighbors). In applications involving many instances and/or instances with high dimensionality, the search process is time-consuming due to the need to perform many calculations of similarity functions between instances. Several proposals to reduce the k-NN search time have been made, some of them aiming at the exact search of the k most similar instances to x in T and, others, reducing the search time via approximate methods to calculate the most similar instances to x. This work proposes an algorithm called $\mathrm{kM}++\mathrm{kNN}$ for the exact search of the k most similar instances to x in T, which uses the triangular inequality concept to reduce the ${\mathrm {k-N N}}$ search time. The ${\mathrm {k M++k N N}}$ algorithm is compared, in experiments to measure the economy of the number of calculations of similarity functions between instances and search time, with an algorithm currently considered fast, the kMkNN.
The concerns of financial auditors with Information Security : 10 recommendations to consider

The present article contributes to the information security theme and how it should be one of the concerns for financial auditors, providing ten recommendations. Information security serves to protect the information coming from the systems and devices in which it’s used, stored, and transmitted by ending up being a mandatory requirement to minimize the risks associated with an activity or business, to ensure compliance with the legal provisions or of regulatory nature. Besides the literature review for better understanding, the article presents ten recommendations related to the use of mobile devices, teleworking, protection against malware, backup procedures, physical and surrounding security, information transfer, recording and monitoring, information security aspects related to business continuity, network security management and user management.
MACHINE TRANSLATION: COMPARISON OF WORKS AND ANALYSIS OF ERRORS MADE BY DEEPL AND GOOGLE TRANSLATE.

The article is focused on the study of machine translation errors on the example of the results of DeepL and Google Translate. The aim of the study is to compare the results of these services on the basis of literary and journalistic texts. The following methods were used to achieve this goal: theoretical analysis, descriptive, comparative, contextual, deductive, and quantitative methods. The results of this study make an important contribution to further detailed research on machine translation services and provide a basis for improving the algorithms of these services. The article will also be useful for researchers who want to deepen their knowledge in the field of translation. The discussion of the results shows that there is currently no firm opinion in favor of one of the above-mentioned competitor services, as the quality of translations by machine translation services varies from year to year. The conclusions of the study present the results of the analysis of the services, namely: DeepL made fewer errors in general than Google Translate. Therefore,translations from DeepL are considered to be of higher quality than translations from Google Translate on the basis that post-editors need more time to process and edit translations from Google Translate. The study is of great novelty, as the constant updating and improvement of machine translation systems makes previous studies obsolete today. It is also one of the first studies for the German-Ukrainian language pair. The results are of great practical importance for practical, lecture and seminar courses in translation-related disciplines. The results can also be used as a basis for a more detailed study of the process of each individual stage of translation or translation programs.
Analysis of Phonological Errors Made by Grade 4 Learners with Communication Difficulties in Kieni East Sub-County

Inclusive education in Kenyan primary schools brings together learners with special needs and their peers without special needs in the mainstream classroom. Some learners in inclusive classrooms have challenges that hinder the acquisition of literacy skills. Official instruction in ESL in primary schools begins in Grade 4. Learners who fail to acquire basic language skills in Grade 4 will struggle to master ESL in the upper classes. Against this backdrop, this study set out to analyze the phonological errors made by Grade 4 learners of ESL in Kieni East Sub-County. The study adopted a descriptive research design. Seven primary schools in Kieni-East were randomly sampled, and 11 students with communication difficulties purposively sampled for data collection. The 11 learners were observed during an ESL listening and speaking lesson. The researcher turned Sony ICD-UX570 Digital Voice Recorder on and left it on the learner’s desk for a 35-minute lesson. The study identified twenty-seven (27) words with phonological errors. The phonological errors were categorized into five classes such as cluster reduction (22%) followed by reduplication (19%), distortion (15%), deletion (15%), stopping (11%), backing (11%) and gliding (7%), respectively. The audio-recorded data was transcribed, and the correct forms provided in a table. Data was analyzed qualitatively using Error Analysis and Natural Phonology Theory to describe the phonological errors. The study found that Grade 4 learners with communication difficulties make phonological errors due to word complexities, biological disorders, and poor cognitive development. Further, the study established that inclusive schools do not have adequate assistive resources to instruct learners with communication difficulties. This study recommends that teachers should partner with speech therapists and language researchers to assist learners with communication needs. Further, EARC should equip all inclusive classrooms with assistive resources to address the needs of learners with communication needs.
The Impact of Empowerment on Job Stress During Employee of General Sector of Media A Case Study of the Employee at Syrian Arab TV

This study was aimed to investigated to the relationship between empowerment and job stress during the employees of the general sector of media.The study was conducted on a sample of 83 participants, and the questionnaires focused on occupational stress and employee empowerment.Data were collected using questionnaires.The p < .05significance level was used to accept or reject the null hypotheses, Based on the results of data analysis there is a negative correlation between empowerment dimensions (meaning, selfdetermination, competence, Impact) and job stress
Analysis of Major Selection Under the Background of Enrollment in Large Category

By using questionnaire survey and Logit regression analysis, this paper explores the influencing factors of students' major choice under the background of enrollment in large category, and draws the following conclusions: personal professional endowment, family, teacher guidance and major construction level have significant influence on students' major choice, and there are great differences between comprehensive universities and local professional universities. Some suggestions are put forward in shaping personal qualities and environment, strengthening professional construction, and expanding the space for professional selection.
Students’ Composition Evaluation Model Based on Natural Language Processing Algorithm

It is subjective, time consuming and labor intensive to evaluate students’ compositions. Use of natural language processing (NLP) technology effectively improves the evaluation efficiency and reduces the burden on teachers. In order to overcome the problems of traditional models, such as over-fitting and poor generalization ability, this research studied a students’ composition evaluation model based on an NLP algorithm. A students’ composition evaluation model based on a multi-task learning framework was proposed, which completed three sub-tasks simultaneously using the NLP algorithm. Three different encoding methods were used; namely, convolutional neural network (CNN), recurrent neural network (RNN), and long short-term memory (LSTM), which captured text information from multiple perspectives. A new pairing pre-training mode was built, which aimed to help build an NLP-based students’ composition evaluation model based on the multi-task learning framework, thus alleviating the deviation caused by excessive correlation. The experimental results verified that the constructed model and the proposed method were effective.