Reviewerly/exHarmony huggingface dataset:
PUBLIC-PRIVATE PARTNERSHIP IN THE ASPECT OF PROFESSIONAL IDENTITY OF THE INDIVIDUAL

The paper reveals the characteristic features of an individual’s professional identity in the context of public-private partnership and the role of the employer as the main participant of such interaction. The authors present a structural-functional model as well as organizational and educational requirements for its implementation. The article summarizes the experience of a large industrial enterprise in creating conditions that facilitate professional identity of young people. The findings of the study indicate the effectiveness of the employer's participation in building a system of interaction with educational organizations in order to help graduates to make an informed choice of their future profession.
The Determination of Shortest Path Using Genetics Algorithm Assisted Matlab

The problem is taking the shortest path for a road driver is an interesting thing. This paper explains how to find the shortest path using a genetic algorithm to achieve the best solution. Then it shows how to implement the genetic algorithm using the MATLAB program. For example, it is given a connected directed graph containing 20 vertices and 41 arcs where these vertices are assumed to be cities.
Use of Dark Primary Color Priors for Haze-line-Based Infrared Image Dehazing

The main task of infrared image dehazing algorithms is to solve the problems of low visibility and blurring in infrared images;these problems arise from Mie scattering.However,current infrared image dehazing algorithms poorly estimate the dark transmittance of infrared images.Hence,in this study,an infrared image dehazing algorithm is developed based on the dark primary color prior of the haze-line.First,the Hough transform was employed to estimate the atmospheric illumination.Second,a dark primary color prior was employed to address the failure of the haze-line dehazing method in some scenarios.The transmittance was estimated by assuming that the dark end of the haze-line corresponds to the real color,and a transmittance map was obtained.To remove noise in the transmittance map,total variation regularization was used;thus,the transmittance map was optimized.The experimental results obtained using LTIR,a public infrared dataset,as the test dataset show that the proposed algorithm can enhance the clarity of infrared images without affecting the distribution of infrared radiation;in addition,the results show that the proposed algorithm enhances infrared images corresponding to various scenes.The proposed method accurately estimates transmittance and effectively dehazes infrared images.
ELEARNING FOR PROFESSIONALS – “VOGUE” TREND OR AN UNAVOIDABLE ALTERNATIVE?!

The report explores the eLearning capabilities for acquiring modern vocational education in the cultural and creative industries in Bulgaria. The problem is socially significant and affects large groups of the population, employed not only in the public but also in the private sector. This is the main point on which we build our hypothesis – our strategic tool is to create a modern virtual environment for vocational education through an educational platform. It enables successful integration of lecture courses and all new digital tools for learning and upgrading knowledge and skills by combining hybrid vocational dual training with eLearning. The conclusion summarizes the results achieved, which are only the beginning of the promotion of sustainable dual hybrid digital vocational training. References include 45 bibliographic resources.
PENGARUH PERMAINAN PUZZLE HITUNG TERHADAP KEMAMPUAN MENGENAL LAMBANG DAN NAMA BILANGAN ANAK USIA DINI

Lamongan based on the children low cognitive abilities in recognizing symbol and name of numbers. This research used a quantitative approach that is namely pre experimental design and the kind research that is namely one-group pre-test - post-test design. The data analysis technique used SPSS with 22 Windows version. The test used Wilcoxon Signed Rank Test. Based on the result, the researcher provided a treatment was used puzzle game, the children have increasing cognitive’ abilities on recognizing symbols and the name of numbers with the average increased by 7, 50 whereas the sum of ranks were 105, 00. The hypothesis test known asymp.sig (2-tailed) has 0, 001 smaller than 0, 05. Then, it can be known that “Ha received”. This research can be concluded that using of puzzle count game in learning process has more significant influence to the children’ cognitive abilities on recognizing symbols and the name of numbers besides the learning activity without  media namely puzzle count.
Aplikasi Pengelompokan Mahasiswa Potensial Drop Out Pada STMIK TIME

Collage is an institution that certainly has a large number of databases, such as: academic data, administrative data and student data. Patterns or knowledge in decision making originate from these data if they are explored appropriately. One of the data that can be extracted is the understanding of information on the grouping of potential drop out students. This is important to know and understand. Understanding groupings can be done by understanding and disclosing the knowledge they have. Failure prevention in database management is a very important part of higher education management. The measure of student success or achievement can be seen from the Achievement Index (IP) which reflects all the scores obtained by students until the current semester. With the help of data mining techniques or what is called extracting added value from data in the form of information from a database, such as the Naive Bayes algorithm, which makes it possible to find the characteristics of student achievement scores using the available data base. A good naive bayes algorithm should ideally produce distinct groups, although in practice perfect separation is usually not achievable.Keyword: Data, Naive Bayes, Students, Grouping.
The Effects of E-Brochure Functions and Attitudes to E-Brochures on Self-Efficacy and Salespeople Job Satisfaction in Pharmaceutical Companies

Today, companies are making efforts to improve the performance of workers by utilizing various IT-based mobile and internet devices. In pharmaceutical companies, salespeople are using the e-brochure to search for diverse expertise in real time. Through the e-brochure, pharmacists and doctors can be provided with the information they need, thereby increasing confidence in pharmaceuticals and salespeople. Salespeople can also use e-brochures to improve their work performance and to be more satisfied with their jobs. This study examines which functions of e-brochures satisfy salespeople and what attitudes to the e-brochures they need to have. This paper explains the effect of satisfaction and attitude to the e-brochures on job satisfaction through self-efficacy with statistical analysis. As a statistical result, the functions of e-brochures (professional knowledge, massive amount of data, easy searching, information updates, and the reflection of feedback) and attitudes to the e-brochures (importance, intention to use, belief in improvement, efficacy to use, and negative cognition) influence on self-efficacy of salespeople. Further, self-efficacy has mediating effects on the relationship between the functions of e-brochures / attitudes to e-brochures and job satisfaction. Exceptionally, the mediating effect of self-efficacy was not significant in relation to information updates / reflection of feedback and job satisfaction. These results will explain what functions should be focused for the future development of e-brochures. It will also suggest what attitudes the salespeople should have about e-brochures. Through these efforts, salespeople will be able to utilize new technology of e-brochures to satisfy their jobs and improve their performance.
Supplementary_Materials_V2_SUBMIT - The Location of Maximum Emotion in Deceptive and Truthful Texts

Supplementary_Materials_V2_SUBMIT for The Location of Maximum Emotion in Deceptive and Truthful Texts by Amir Sepehri, David M. Markowitz and Rod Duclos in Social Psychological and Personality Science
PENGARUH EVALUASI COUNTENANCE TERHADAP HASIL BELAJAR MATA PELAJARAN FIQIH

This research discusses effect of evaluation of countenance model on learning outcomes of Grade VII students of Fiqh subjects at MTs N 2 Lamongan in academic year 2019/2020. This research is motivated by learning that is carried out less in accordance with what is expected. This research attemped answered question in this study is (1) How is implementation of evaluation of countenance model ?. (2) What are learning outcomes of Grade VII students of Fiqh? (3) How does evaluation of countenance model affect learning outcomes of Grade VII students of Fiqh in MTs N 2 Lamongan in Academic Year 2019/2020? To answer these questions, this research uses quantitative methods. The sample in this study used Probablity Sampling Area, which is sampling by taking representatives from each class VII, starting from class VII A to VII H, with a population of 224 students in class VII, number of respondents was as much as 56 students by selecting 7 students every class. Based on results of this study indicate that the effect of countenance model evaluation on student learning outcomes in class VII Fiqh subjects in MTs N 2 Lamongan, this can be proven from significance results of 0,000 <0.05 and average student learning outcomes of grade VII of Fiqih subjects are 83.10 which shows that value of learning outcomes is good.
An Example on Elliptic Curve Cryptography

Cryptography on Elliptic curve is one of the most important public key encryption systems, whose security depends on difficulty of solving the discrete logarithm problem. The reason of importance is that elliptic curves provide security equivalent to classical systems while using fewer bits. To encrypt a plain message with El-Gamal algorithm, we embed the message to the point on the elliptic curve using the Koblitz technique. In this paper, we explore the conditions that encrypt the message without mapping the point on the elliptic curve.
Implementation of educational technology for the development of computational thinking in fourth grade children in a public educational institution in Colombia

Statistics are becoming more and more important in the teaching of mathematics, being an essential part of the curricula and school environments, for which this project seeks to solve a problem that was detected in the Ciudad Verde educational institution and that is related to the prediction, interpretation and calculation of probabilities in fourth grade students. When carrying out an analysis, it was possible to show that it is necessary to strengthen these probabilistic knowledge that are fundamental in the learning processes of students and that in fact are part of the daily context; therefore, the purpose is to seek that children are able to function in the community and with the skills to take on the challenges of innovation and change demanded by today's society, where information and communication technologies have gained more and more relevance in the training of students. In this way, the project incorporates the tools Schoology, Scratch and the application of computational thinking with a STEAM model, which will support the pedagogical strategy to solve the problem with the students under study of the Educational Institution, the results of the research allow demonstrate the strengthening in problem solving in probability issues using computational thinking through Scratch.
Perancangan Ui (User Interface) Company Profile Berbasis Aplikasi Android Sebagai Media Pengenalan Pt. Machara Konstruksitama

Today the construction industry in Indonesia is growing so rapidly, the high competition between construction service companies in the midst of globalization and the advancement of information technology in this millennial generation era, makes construction companies must be able to adapt, innovate and move quickly to face global challenges, this company is a major client company / government agency that requires construction services and this company wants to expand its wings by reaching out to millennials who are the first to want to build houses left but confused in its implementation and planning, the absence of a mobile media profile that can be accessed anytime and anywhere becomes a constraint for the company. Considering the rapid development of technology, especially in the era of information disclosure, companies are demanded to move quickly in accordance with the conditions of today's society which is very high mobility, for that media profile is needed that can be accessed anytime and anywhere, without being obstructed by space and time. Data collection techniques are through observation, interviews with employees or directors of the company, data is also obtained through library research, search of previous research results, news articles, and other supporting information that can be used as a foundation for the work to be designed, both in print and online media. The conclusion of this final is to make it easier for prospective clients to find out and get to know about the company through a company profile based on an android application, anytime and anywhere. so as to make consideration of prospective clients or clients in using the services of construction companies.
Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems

We introduce a novel learning-based approach to synthesize safe and robust controllers for autonomous Cyber-Physical Systems and, at the same time, to generate challenging tests. This procedure combines formal methods for model verification with Generative Adversarial Networks. The method learns two Neural Networks: the first one aims at generating troubling scenarios for the controller, while the second one aims at enforcing the safety constraints. We test the proposed method on a variety of case studies.
SLAVIC TRANSLATIONS OF BIBLE TEXTSOF THE 16 TH – EARLY 20 CENTURY: TO THE GLOBAL YEAR OF THE BIBLE TH

2020 A. D. has been declared Global Year of the Bible. The main goal of such an initiative is to promote translations and editions of Holy Scripture as well as to expand the cultural horizons of mankind. At all times, the Bible was one of the most popular books being translated into different languages and reprinted in all Christian countries. The Scientific Library of the Odessa I. I. Mechnikov National University contains a valuable collection of biblical texts published in different languages. This article presents Slavic translations of the Bible and biblical texts. The presence of translations of biblical texts in the stocks of the of the Scientific Library of Odessa I. I. Mechnikov National University can be regarded as an evidence of the development of the Library as an auxiliary subdivision of a higher education institution focused on providing the educational process with appropriate literature. Since Theology was a subject taught at Novorossiysky University, and professors of the department of Theology taught a compulsory course for students of all faculties and special courses on Christianity and other religions, biblical texts in translations were necessary for teaching University disciplines. Significantly fewer biblical texts were acquired by the Library in Soviet times, when Theology as a discipline was not available, but biblical texts were necessary in order to study the History of religion and Atheism. The experience of Christian churches shows that translations of Holy Scripture into modern literary language serve as an integral part of the dialogue between tradition and modernity: translations of the Bible and biblical texts are in demand not only for a more accessible perception of the Word of the Lord by believers, but also for studying the foundations and history of the Christian religion by everybody.
Deep Learning Based Semantic Segmentation for Nighttime Image

Semantic segmentation of nighttime images has become an interesting research topic recently. In this work, we focus on semantic object recognition for nighttime driving scenes. The paper proposes a method to adapt the semantic models trained on daytime scenes to nighttime scenes through twilight time. In this process, the Pyramid Scene Parsing Network (PSPNet) model is suggested to provide an advanced framework for pixel prediction. The goal of the method is to reduce the cost of human annotation for nighttime scenes by transferring knowledge from typical daytime illumination conditions. Our model is trained and tested on the Cityscape dataset which is recorded in street scenes and intended for assessing the performance of vision algorithms for major tasks of semantic urban scene understanding. The proposed PSPNet model yields a mIoU record of 44.9% on nighttime driving scenes. Our experiments show that the proposed method is effective for knowledge transfer from daytime scenes to nighttime scenes without using additional human annotation. Further analysis on the proposed method has been presented in this study.
DEVELOPMENT OF TEACHING MATERIALS "QUANTITATIVE RESEARCH METHODOLOGY FOR STUDENTS BASED ON QR CODE

The problem in research that you want to find a solution to is 1) How is the development of Research teaching materials for students based on QR Code? 2) how is the effectiveness of Research teaching materials for students based on QR Code? The operational objective is to improve quantitative research proposals. The research method used is Research and Development with the Dick and Carey's model. The results showed that the average learning score of the research methodology, after using QR Code-based research methodology teaching materials, was higher than the learning outcomes before using QR Code-based quantitative research methodology teaching materials. 7 = 8.41> 7.03. Based on the t-test calculation, it is obtained tcount = (11.67)> t table (2.05). Which means a significant increase in learning outcomes Research Methodology using QR Code-based Quantitative Research Methodology teaching materials. A combination of text and QR Code leads to better learning than just text. Which means that the results of learning Research Methodology will be better if QR Code-based Quantitative Research Methodology teaching materials are used, when compared to reading the material alone.
THE APPRAISAL ANALYSIS OF CHARACTER IN RESOLUTION PART OF THE OLD MAN AND THE SEA BY ERNEST HEMINGWAY

This research aimed to analyze the character of Santiago in resolution part of the novel “The Old Man and The Sea” by Ernest Hemingway using SFL Appraisal Theory. From the data analysis, it was found that attitude (affect) and graduation (force) dominated the appraisal items in the resolution part of “The Old Man and The Sea”. In total there were 34 appraisal items found. There were 11 appraisal items on affect found (29.72%), 3 items on judgment (8.1%), 1 item on appreciation (2.7%), 5 items on engagement (13.5%) and 17 items on graduation (45.94%). Those expressions developed from character revelation through dialogue and narration on setting, and those difference marks significant importance of character’s development in the resolution part. The character revelations found in the resolution part are: reflective, affectionate (caring and loving), humble, wise, realistic, and optimistic. This research showed the contribution of appraisal theory, especially attitude and graduation to develop a character in fiction, to be more exact, vivid, and naturally convincing. In the context of language teaching, the awareness of linguistics expression, language evaluations on meanings and values are relevant to be introduced from early to get better understanding of the language.
Charles Dickens’ A Tale of Two Cities and Data Librarians: Connections that Resonate

Key themes in Dickens’ novel, transformation and resurrection, darkness and light, and social justice are firmly connected to the work being done in data. Data librarians can make a difference in times like these: resurrecting data, transforming how students, researchers, or the public think about and use data; unearthing and bringing to light historical data that will give context and meaning to an issue; and that accessible data can help address, and perhaps solve, social justice issues.
비대칭전략의 유형과 사례분석 그리고 교훈

An asymmetrical strategy means a war-performing method that makes the enemy unimaginable in terms of types, dimensions and forms via the analysis of my strengths and the enemy’s weaknesses. Due to the possibility of victory opened to the weak, it can be differentiated in its strategic dimension, level and type utilized in the East and West as well as in the past and present times. This inquiry analyses the Mao’s guerilla war and U-boat’s pack of wolves war as the representative case study based on the Metz and Johnson’s classification of the asymmetrical strategy.As a result, this study is reached at the following conclusion: First, an asymmetrical strategy has a powerful effect in a way that it controls the win or lose of war in the land and sea wars. Second, despite of its effects, it does not guarantee the victory by using the strategy by itself. Third, to win the battle and war, one must to apply the strategy flexibly. The asymmetrical war will be fall into the failure if he or she does not grasp and apply it flexibly according to the changes of time, opinions and situations. This study contends that South Korea needs to research and develop her own symmetrical strategy faced with North Korea and strong neighboring countries in Northeast Asia.
A Novel Approach by Using a New Algorithm: Wolf Algorithm as a New Technique in Cryptography

In order to develop the cryptographic systems, it must always find new techniques to construct the strong cryptosystem, the proposed method try to employ the nature and animals activates in their society to propose the new algorithm for new cryptosystem, depending completely on the behaver of the wolfs communications between each other’s through howls to exchange the information between the wolf’s group to determine the locations and for warning each other’s against the dangers, in this paper propose a new algorithm through classify the characters of the message into groups and exchange the keys between the groups to be difficult on the cryptanalytics to follow the path of constructing the system, also using the different cryptanalysis techniques to evaluate the proposed algorithm.
Socio-psychological determinants of resource potential of civil servants

The problem of socio-psychological resource potential of the individual in modern social systems is one of the global and key problems in the civil service. Professional development of human resources of public authorities in the process of civil service reform, identification of social factors that affect the professional development of personnel. According to the implementation of the Concept of reforming the system of professional training of civil servants, heads of local state administrations, their first deputies and deputies, local government officials and deputies of local councils, socio-psychological determinants of resource potential of public managers are considered as the main mechanism for practical efficiency. work of state authorities and local governments.
A Novel Deep Learning Approach in Haematology for Classification of Leucocytes.

This paper presents a comparison between two different Computer Aided Diagnosis systems for classification of five types of leucocytes located in the tail of a Peripheral Blood Smears: Lymphocytes, Monocytes, Neutrophils, Basophils and Eosinophils. In particular, we have evaluated and compared the performance of a previous feature-based Back Propagation Neural Network classifier with the performance of two novel classifiers both based on Deep Learning using Convolutional Neural Networks introduced in this study. All the classifiers are built considering the same dataset of images acquired in a previous study. The experimental results, reported in terms of accuracy, sensitivity, specificity and precision, show that the different strategies could be compared and discussed from both clinical and technical point of view.