Reviewerly/exHarmony huggingface dataset:
Копінг-стратегії керівників закладів загальної середньої освіти: зв’язок із задоволеністю роботою та організацією

Introduction. Improvement of behavior of heads of general secondary education institutions in complex and stressful situations involves, in particular, the study of organizational and psychological factors that influence the heads' choice of coping strategies. Aim of the study: to investigate the relationship between coping strategies used by heads of general secondary education institutions and their satisfaction with work and organization. Methods: My Attitude to Work questionnaire (K. Maslach, M. Leiter) and Coping Behavior in Stressful Situations (S. Norman, D. Endler, D. James, M Parker; adapted by T. Krukova). Results. It was found that secondary education institution heads'&nbsp; job and organization satisfaction had statistically significant relationship with the coping strategies used by the heads (high heads' satisfaction with the organizational values, workload, staff, organizational fairness and rewards positively correlated with such active and constructive stress-coping strategies as problem-oriented strategy and social support search strategy, and negatively correlated with such non-constructive coping strategies as emotion-focused strategy. There was no statistically significant relationship between heads' job and organization satisfaction and the distraction coping strategy, which was probably due to the fact that this coping strategy was used outside the work environment. Conclusions. The research findings can be helpful in increasing the efficiency of general secondary education.
ПЕДАГОГИЧЕСКАЯ ТЕХНОЛОГИЯ КОНСТРУИРОВАНИЯ УЧЕБНОГО ПРОЦЕССА

&#x0D; &#x0D; &#x0D; The article is devoted to the educational technology design of the educational process. According to the author, the technology of designing the pedagogical process cannot be reduced only to thinking of the teacher’s actions, maintenance and use of pedagogical tools, but should be carried out with a focus on students, a group of schoolchildren and each individual.&#x0D; &#x0D; &#x0D;
Analysis of TB Case Counts in Southwest Ethiopia Using Bayesian Hierarchical Approach of the Latent Gaussian Model

Introduction: Tuberculosis is the long-lasting infectious disease caused by bacteria called Mycobacterium tuberculosis.Globally, in 2016 alone, approximately 10.4 million new cases have occurred.Africa has shared around 25% of the incidence and specifically in Ethiopia around 82 thousand was caught by Tuberculosis.Methods: The study has been conducted in, south west Ethiopia, Jimma zone of entire districts and the data is basically secondary which is obtained from Jimma zone health office.The counts of Tuberculosis case counts have been analyzed with factors like gender, HIV coinfection, Population density and age of patients.The Integrated Nested Laplace Approximation (INLA) method of Bayesian approach which is fast, deterministic and promising alternative to MCMC method was used to determine posterior marginal of the parameters of interest.Results: The Latent Gaussian Model (LGM) of Poisson distributional assumption of Tuberculosis cases that includes both fixed and random effects with penalized complexity priors appeared to be the best model to fit the data based on the Watanabe Akaike Information Criteria and other supportive criteria.Using Kullback-Leibler Divergence criteria, the under-used simplified Laplace approximation indicated that posterior marginal was well approximated by normal distribution.The predictive value of the best model is not far deviated from the actual data based on the Conditional Predictive Ordinate and the probability integral transform.Conclusions: All the variables were significant under this model and the posterior marginal was well approximated by standard Gaussian.The PIT indicated that predictive distribution was less affected by outliers and the model was reasonably well.
Collection Development from Scratch: Supporting a New Degree Program in Construction Management

Construction management is a growing field with strong job prospects and expanding educational opportunities. It is closely related to business and engineering. The article provides an introduction and overview of collection development for academic librarians supporting construction management, from the perspective of the author’s experiences at Florida Gulf Coast University. Information types specific to the field include building codes and cost data. Relevant journals, conferences, books, and databases are also discussed.
Advertising and Public Relations Professional Education in the Regions of Russia: Educational Organizations Branding Issues

Introduction . The Russian higher education market in the sphere of Public Relations and Advertising is represented in the paper. The basic approach to the market is shaped by the vision on higher education in the frame of service paradigm. The need to analyze and implement professional communication activities while promoting university education organizations is stressed by the authors. A special attention is put to the necessity of professional communication technologies, such as branding, their application to universities, because it influence such institutions managerial efficiency, helps to systemize a share of their voice, and it is already the necessity for the present day society. Methodology and sources . Theoretical and methodological basis of the paper was composed by scientific works of Russian researchers in the field of university branding, brand-management, including papers on Russian Federation regional universities branding. Empirical study base was designed by materials of regional leading universities, which give higher education in PR and Advertising. Underlying rationale for defining the leadership were the following: number of state-funded student places; 1st year students’ unified national exam results; the dynamics of prospective students in PR and Advertising on tuition payment basis enrollment. Russian regions, the most of enrollees are coming from to Saint Petersburg Electrotechnical University, were also unveiled. The elements of value-based branding platforms of departments responsible for Public Relations and Advertising education in regional leading higher education institutions are also brought in focus. Results and discussion . Empirical study revealed that PR and Advertising education departments of the universities studied did not fulfill their scientific and methodological potential in practice to the full extent. The education institutions examined in the research mostly communicate their objective quantitative indicators positioning Public Relations and Advertising education rather than core value messages. Thus it does not seem possible to typify these communication components as examples of branding process and brand element of university. It would help to structure the market share and influence positively on university promotion. Conclusion . Following the results of the study the authors conclude the necessity to apply communication technologies of brand development and brand management for structuring the market share and influencing positively on university promotion. It directly impacts on education institutions managerial efficiency and proves its relevance to modern society.
Change Management Over Financial Information: A Multi-Criteria Evaluation of System Change Controls Using Desirability Functions

The increasing complexity of information technology, attacks on confidential information, and the passing of new laws and regulations have shifted the focus around internal controls in organizations.Particularly, general information technology controls related to change management (i.e., system change controls) are critical in ensuring the integrity, completeness, and reliability of financial information.The literature points to various evaluation methods for these controls to determine which ones to implement.However, these methods do not necessarily consider relevant organization constraints, preventing the inclusion of required controls or the exclusion of unnecessary controls.This paper proposes a novel approach, using Desirability Functions, for evaluating system change controls providing management with a measurement that is representative of the overall quality of each control based solely on organizational goals and objectives.Through a case assessment, the approach is proven successful in providing a way for measuring the quality of system change controls in organizations.
A Negatively Correlation-Based Selection Strategy for Parameter Adaptation in SHADE

Negatively correlated search (NCS) is a population-based metaheuristic algorithm inspired by human behaviors in cooperation. One of the main processes of NCS is to evaluate the Bhattacharyya distance of two generations of population and employ a “winner takes all” selection strategy to possess good exploitation ability. SHADE is an efficient variant of differential evolution algorithm which embedded a success-history based parameter adaptation strategy and demonstrates strong exploration capability. In this paper, a simple hybridization of NCS and SHADE is presented, which employs the negatively correlated method in the selection strategy of success parameters of SHADE. Due to the combination of advantages of both algorithms, the newly proposed NC-SHADE performs excellently on CEC'2017 benchmark function suit and has superiority in comparison with other related algorithms.
A Preliminary Study on Teaching Korean students Chinese tones: Taking Korean High School Students as an Example

This paper takes the learners who have a one-year experience of learning Chinese in Korean high schools as the investigated and studied sample, concludes the teaching methods of the first, second, third, and fourth Chinese tones, and focuses on the methods of tone teaching.
Analyzing static calls in Java byte-code

The major goal of research is to analyze and propose a new approach for static analysis of method calls in Java code and finding the class configurations using auxiliary libraries for reading and byte code search.
A Comparative Study of Relevance and Adaptation in Listening Corpus for College English Test Band 4 and 6

The relevance-adaptation theory can be said to be a combination of relevance theory and adaptation theory. It is a kind of cognition of context. Generally speaking, cognition context is a kind of mental cognition, which belongs to a form of mental structure recognition, relating to the knowledge, understanding and relevance of discourse information in this context. This article mainly elaborates the operation mechanism of relevance and adaptation theory and the comparison of relevance of College English Test Band 4 and 6. This can be used as a reference for relevant academic staff.
Applying Standard JPEG 2000 Part One on Image Compression

In this paper, has been proposed Algorithm for standard JPEG2000 part one for image compression.The proposed Algorithm was executed by using MATLAB7.11environment, applied these algorithm on the gray and color images for type of the images natural, medical, Graphics images and remote sensing.Dependence on the Peak Signal-to-Noise Ratio (PSNR) for comparing the result of the proposed Algorithm by using the Daubechies filters 5/3 tap filter and 9/7 tap filter Biothogonal , Another comparison is held concerning the obtained results of the algorithm of ModJPEG and Color-SPECK.Proved the processing results Efficiency performance of proposed Algorithm.
Prediction Analysis Student Graduate Using Multilayer Perceptron

Student graduation data is a data that is important to the College, especially for the Faculty as well as the courses in question.Acquisition of knowledge in a database (a number of large data) commonly referred to as data mining.This research aims to analyze the student's graduation predictions that can be done on a fourth semester using Multilayer Perceptron (MLP) classifier which available in WEKA software implementations.Then do the testing and performance comparisons of MLP against Naïve Bayes classification, IBk and Tree J48.Cross Validation and Percentage Split are used as the testing procedure in this research.The parameters in the process of testing using correctly classified instances and Root Mean Squared Error (RMSE).On the mode of Cross Validation, MLP has better performance compared to all contender methods with accuracy of J48 81.82% and the value of the smallest RSME i.e. 0.273.On a Percentage Split MLP mode has the same accuracy value with Naïve Bayes i.e. 92.31%, and the value of the RMSE on the MLP of 0.182.
TECHNIGUES USED FOR THE ACTIVATION OF COGNITIVE ACTIVITIES IN SENIOR PUPILS INVOLVED IN THE TEAM WORKING

The team form of learning activities appeared as an alternative to the available traditional forms of teaching. Psychological and pedagogical research data show that team learning activities contribute to the activation and effectiveness of the teaching of schoolchildren, rearing humane interrelations between them, self-reliance, ability of pitching and espousing the standpoint of their own and also listening to the opinion of their comrades, rearing the dialoging culture, responsibility for the results of their work. Therefore, team learning activities is the form of learning organization for the small teams of students that are united by the common learning goal with the intermediate management of the teacher cooperating with them.Analyzing the available forms and methods of work used by the teachers in their activities we drew a conclusion on the insufficient amount of techniques that contribute to the activation of mental activities in pupils. For this purpose we developed “the labyrinth” that allows the team of students to pass through it. The “labyrinth” permits the solution of a number of problems with intricate moves and the students are supposed to manage the situation. “The labyrinth” developed by us consists of many problems that include in their turn the microproblems.The obtained results allowed us to define the following peculiarities of use of the “labyrinth” as a team working technique:Aspiration for the information exchange;Positive emotionality during the fulfillment of all the tasks;Mutual assistance during the discussion; Cooperation;some students felt the need for the explanation of the problem solution procedure to other students;Aspiration for the self-assertion.
Utilizing the QRI as a Diagnostic Assessment and Intervention Instruction: A Case of a Thai Learner

The present exploration aimed to assess a reading level of a young Thai student by using the Qualitative Reading Inventory (QRI), and to plan reading intervention instruction targeted on the identified needs based on the assessment results.In this study, a single case study approach was employed.A seven-year old Thai learner was the focal participant.The research questions are threefold as follows: (1) What was the student's diagnostic assessment result measured by the Qualitative Reading Inventory?, (2) Did the designed QRI-based reading intervention instruction lead to student's literacy growth?, and (3) What was the student' attitude towards the self as a reader, reading, and school before the diagnostic assessment took place, and after the reading intervention?The research instruments used in this study included the QRI tests, semi-structured interviews and observations.The diagnostic assessment results revealed that the student's instructional reading level was at the pre-primer, and the QRI-based intervention instruction proved to assist the student in literacy growth.Moreover, the results from the interviews and observations showed that the student had a better attitude towards reading.
Auto-Sapiens Autonomous Driving Vehicle

This paper presents the Auto-Sapiens project, an autonomous driving car developed by the Mechatronics and Vehicle Dynamics Lab, at Sapienza University of Rome.Auto-Sapiens is a technological platform to test and improve innovative control algorithms.The car platform is a standard car (Smart ForTwo) equipped with throttle, brake, steering actuators and different sensors for attitude identification and environment reconstruction.The first experiments of the Auto-Sapiens car test a new obstacle avoidance.The vehicle, controlled by an optimal variational feedback control, recently developed by the authors, includes the nonlinearities inherent in the car dynamics for better performances.Results show the effectiveness of the system in terms of safety and robustness of the avoidance maneuvers.
Robust Visual Tracking Based on Complementary Diverse Information

Correlation Filters have become the dominant tracking approaches with the state-of-art performance in challenging videos. However, many of them concentrate on stronger feature descriptors or more sophisticated machine learning techniques but ignore the diverse information existing in sequences such as global context, motion states and response maps, consequently leave out lots of valuable clues to tracking. To tackle with this problem and take full advantage of the videos, a succinct tracker is proposed by simply merging response maps inferred by these diverse information. Additionally, to avoid model pollution caused by occluded samples, the fluctuation of response maps are exploited to determine whether to update the model. The exper-iment results reveal that the combination of the above diverse information with two simple standard features can significantly improve the performance with a gain of 4.2% in mean success rate on OTB-2015. Our tracker outperforms some recent trackers based on deep features or deep learning frameworks trained with large data set. It demonstrate that diversity and complementarity of tracking information play a crucial part in tracking process.
On Translation Strategies of Culture-Specific Items in Game Localization

Translation is of great importance in game localization.During the translation process, some words may cause difficulty in translation as they are unique in game culture.They are either newly created words, or common words with new meanings in the game.Javier Franco Aixelá defined CSIs as "certain items in source texts whose function and connotation involve translation difficulties in their transference to target texts, because of nonexistence of given items or their different textual status in the cultural system of the readers of target texts".Guided by his study on Culture-Specific Items, this paper takes the translation of the created words and neologies in League of Legend as examples to study the detailed translation strategies of Culture-specific items in the fictional game context, so as to offer some help to the improvement of the translation quality of game culture-specific items.
Application Researching of Container Technology on Satellite Control Center System

With the continuous development of spaceflight industry in recent years, the number of on-orbit satellites is rapidly increasing, the scale of the Satellite Control Center (SCC) is becoming larger and larger, and the cloud technology has been applied completely. Although the cloud technology plays an important role on improving system flexibility, reliability and recoverability of SCC, there are still some insufficiency to be solved at present, such as the virtual host configuration is yet complex, and the complexity and difficulty of system maintenance is rapidly increasing as more and more kinds of platform have been deployed. As a kind of lightweight virtualization technology, container technology encapsulates the business application, and runs on the operating system directly. The delivery and deploy time of SCC system can be reduced, the critical business application can be lightweight isolated, the system migration and extension ability can be improved according to characteristics of container technology. This paper presents an initial conception of the application of container technology on the current SCC system, and the qualitative and quantitative analysis of SCC system running critic technical indicators on the container is carried out, this gives a good way and a good reference model to the subsequent development and construction of the SCC system.
Multi-criteria Collaborative Filtering Based on Reliable Factor

Multi-criteria collaborative filtering additionally take user preferences in multiple criteria into account, in order to better generate recommendations. The data sparsity is a critical factor affecting the accuracy of prediction and effectiveness of the recommendation. Existing solutions such as dimension reduction, decomposition and matrix filling can effectively reduce the impact of data sparsity. This paper proposes a matrix filling method based on reliable factor to alleviate the problem as matrix filling can retain the original data of rating matrix. Each criteria rating matrix is pre-predicted by a fusion similarity, and reliable factor is introduced to ensure the reliability of filled score. We use two methods to aggregate the ratings of the criteria. One is to extract the criteria preferences of users to assemble scores and the other aggregation was carried out by regression of GBRT model. A series of experiments demonstrate the effectiveness of the proposed method in prediction task.
Development of Web-Based Information Media for Career Choice Recommendations According to Personality Type of MBTI

This study aims to develop a web for information media on career choice recommendations based on MBTI personality types (Myers-Briggs Type indicator).The method used for web development was the SDLC (Software Development Life Cycle) method with the Prototyping model.The author uses the PHP programming language and MySQL as a database in web development, with a decision-making model using the forward chaining method so that the search for inference is more natural and follows the existing rules.This media was used by students to search for career choice information that suits their personality.From the personality types obtained through a series of tests by answering the questions given, users can develop themselves from the conclusions and suggestions received in the form of career choice recommendations that were appropriate to the personality type of the MBTI.The white box tested results were obtained by recapitulating parameter calculations, considered to have succeeded from logic errors, and the results of the trial user response in the category 60% very good, 30% good, and the rest were quite good.