Reviewerly/exHarmony huggingface dataset:
PROBLEMS OF SOCIAL ENVIRONMENT RESEARCH: INTER-ETHNIC AND INTER-CONFESSIONAL CONFLICT IN HIGHER EDUCATION INSTITUTIONS

The specific character of interethnic and inter-confessional conflicts in the university environment is studied. The key tasks that arise before those who by virtue of their duties or for other reasons try to settle the arising conflicts are defined. It is considered that interethnic conflict is often actually understood as a conflict of quite a different nature. Selected elements of a mechanism for ‘redressing’ such conflicts or moving them from a situation of confrontation to one of dialogue or even constructive cooperation, which is much more difficult but more effective in the long term, have been proposed.
Interfacing Relationship among Work Stress, Service Quality and Customer Satisfaction: Evidence from Banking Industry of Bangladesh

The performance of the employees serving at different levels of an organization gets directly affected by work stress which is also associated with employee motivation and customer satisfaction.Many scholars have argued on the previous comment.The present study's primary purpose is to determine the interfacing relationship among work stress, quality of services, and customer satisfaction of Bangladesh's banking industries.The study mainly followed a quantitative research method based on survey technique.The study has been completed in two sections.The first one was designed for bank employees to measure job stress and job satisfaction.The second one was for customers to investigate their satisfaction level on selected banks.Using the SERVQUAL model responses on service quality and customer satisfaction were collected.A total of 200 employees of the sampled banks were selected conveniently from 40 branches.Subsequently, 110 customers of the sampled Bank were selected randomly from bank premises.Besides, a total of 130 customers were selected purposively based on the contact number collected from the Bank, and the link of the google survey was sent to the selected customers but only 90 responses were collected out of the 130 respondents.Collected data were analyzed by using SPSS and Spreadsheet.Job stress and employee satisfaction were measured with the Kahn et al. (1964) instrument by descriptive statistics.The SERVQUAL model of Parasuraman et al. (1988) was applied to measure the quality of service and satisfaction level of customers.The present study found that bank employees are not satisfied with four dimensions: Governance, working environment, structure and facilities, benefits, etc. Subsequently, the SERVQUAL model analysis found that customers are not satisfied at all on all dimensions.The study concludes with having a positive relationship between the stress level of employees, quality of service, and satisfaction level of the customer within Bangladesh's banking industry.
AI smashes video game high score

Learning from previous successes can help an artifical intelligence perform better
Stimulating Unceremonious Mobile Learning: An Empirical Study of Business Students of Sindh, Pakistan

Educational Technology has been increasingly used by teachers and students to achieve educational objectives. Such an increasing trend has been paid focus limitedly by researchers in the field of education, particularly in the context of Pakistan. This experimental study attempts to explore the impact of mobile learning (m-learning technology) accessibility on student academic achievement. The study utilized the quantitative research method to evaluate the performance of business school students before and after having mobile learning accessibility. Inferential analysis was conducted to determine the performance of business school students before and after their exposure to internet-oriented lectures. The results found in the study suggest that the performance of students was significantly improved after the exposure to internet-based lectures (after having mobile learning accessibility). The study concludes that technology aids in the students’ performance. Access to mobile-like devices such as iPad, laptops, tabs etc. provides students with the opportunity of academic achievement.
“German Parties” in the Russian Science of the 19th Century

The article is the devoted to the issue of German and Russian groups opposition that arose in various scientific institutions and associations in Russia in the 19th century, such as Russian Geographical Society, Russian Archeological Society, Imperial Public Library and others. The author examines the influence of those groups on the development of certain scientific lines of research, which demonstrated itself in the choice of the scientific language, scientific priorities and strategies, also very often – in the choice of scientific methodology, and finally – in the formation of scientific schools. All this confirms the ideas of the Slavophils and N.Ya. Danilevsky formulated in the 19th century regarding the influence on science of national consciousness and specific worldviews of the scientists.
An Automatic Vowel Space Generator for Language Learner Pronunciation Acquisition and Correction

Speech visualisations are known to help language learners to acquire correct pronunciation and promote a better study experience. We present a two-step approach based on two established techniques to display tongue tip movements of an acoustic speech signal on a vowel space plot. First we use Energy Entropy Ratio to extract vowels; and then we apply Linear Predictive Coding root method to estimate Formant 1 and Formant 2. We invited and collected acoustic data from one Modern Standard Arabic (MSA) lecture and four MSA students. Our proof of concept was able to reflect differences between the tongue tip movements in a native MSA speaker to those of a MSA language learner. This paper addresses principle methods for generating features that reflect bio-physiological features of speech and thus, facilitates an approach that can be generally adapted to languages other than MSA.
Collimation performance measurement of FAC lenses by active and automated alignment

The high-power diode-laser industry is dependent on highly qualified production output for fast axis collimation (FAC) lenses in scalable quantities. Not only controlled production processes but also the optical qualification of the final FAC product contribute to this goal. The product qualification approach chosen is based on diode laser collimation by active alignment and automated positioning of the FAC in collimation for the fast axis and imaging in the slow axis, allowing to evaluate the collimation performance with a specific and installed diode laser on individual emitter intensity profiles. We present the automated setup with results for corresponding sensitivity and repeatability analysis for the measurement of residual divergence.
Artificial Intelligence for the Development of University Education Management

Artificial intelligence has entered people's lives in physical or virtual forms such as intelligent assistance, robots, etc. Technologies such as deep learning, big data processing, and face recognition will make changes in the management of college education.This article uses qualitative research methods to conduct systematic research and finds that artificial intelligence will make education management more forward-looking, promote the digitalization, transparency and management rationality of education management, and reconstruct the education management supervision and correction system, but in practice there are also some problems during the operation.The article proposes that clarifying the working boundary between human and artificial intelligence in education management activities, strengthening relevant legal functions, and doing a good job in the development and application of artificial intelligence in education management talent training will promote the complementarity of artificial intelligence and university education management, and start with intelligence a new journey of modernization of university education management.
An Assessment of Challenges and Prospects of the Women’s Entrepreneurs in Hawassa City, Southern Nation Nationalities and People, Ethiopia

Women entrepreneur plays a decisive role in the economic and social development of the country.In spite of their position still, they are facing a range of challenges like lack of access to capital, inadequate managerial and marketing skills and their contribution is not yet recognized.Thus, this study aimed to assess the challenges and prospects of women's entrepreneur in Hawassa city.A graphic research design was conducted.Simple random sampling was used to select 42 women out of the total population.Both primary and secondary source of data was used.Primary data was collected using a scheduled questionnaire and structured interview.Regular supervision and follow up was made.The SPSS software version 20 was used to code, compile, and analyze data.Multivariate analysis was used to see the effect of the independent variable on the outcome variable.The finding of the study found that poor managerial and marketing skills, inexperience, and insufficient business related training were among the significant hampers of women entrepreneurs in Hawassa city.The result of the study also showed that educational background, market problem, lack of premises and lack of collateral were strongly associated with women entrepreneur at a p-value less than 0.05.Women who have collateral to access credit were about four times more likely to participate in business than women who do not have collateral ).Thus, it is recommended that the government should work to strengthen women entrepreneur via providing various skills training, finance support, business-oriented information and advising services.
Reproduction based Multi-Contents Distribution Platform

As the use of smart devices is being increased rapidly by the development of internet and IT technology, the contents production and utilization rate are showing higher increase, too.In addition, the type of contents also shows very diverse forms such as education, game, video, UCC, etc.In the meantime, the contents are reproduced in diverse forms by reprocessing the original contents, and they are being serviced through the contents service platform.Therefore, the platform to make the contents reprocessing easy and fast is needed.As the diverse contents distribution channels such as YouTube, SNS, App Service, etc, easier contents distribution platform is needed, and the development of the relevant area is expected.In addition, as the selective consumption of the contents having easy accessibility through diverse smart devices is distinguished, the demand for the platform and service that can identify the contents consumption propensity by individual is being increased.Therefore, in this study, to vitalize the online contents distribution, the contents reproduction and publishing platform, was designed and materialized, which can reproduce and distribute the contents based on the real-time contents editing technology in URL unit and the consumer propensity analysis technology using the data management-based broadcasting contents distribution metadata technology and the edited image contents streaming technology.In addition, in the results of comparing with other platforms through the experiment, the performance superiority of the suggested platform was verified.If the suggested platform is applied to the areas of education, broadcasting, press, etc, the multi-media contents can be reproduced and distributed easily, through which the vitalization of contents-related industry is expected.
Development of BAKULIKAN Blended Learning Model Using ADDIE Pattern

After conducting an initial study using websearch the use of BaKuLiKan learning model resulted in a diversity of student learning outcomes. On this basis, the BaKuLiKan learning model is developed into a blended learning model. The model is then developed according to the ADDIE development sequence. BaKuLiKan is an acronym for Baca-disKusi-Lihat-lakuKan (Read-Discuss-Observe-Do). BaKuLiKan is a series of learning activities for students. The application of this learning model accustoms students to learn to use the Read-Discuss-Observe-Do sequence. The Bakulikan Learning Model itself was first developed in 2004 by the LPA. Nugroho. The development goal at that time was to increase the creativity of students. The BaKuLiKan blended learning model was then developed using the ADDIE pattern. ADDIE (analysis Design Development Implementation Evaluation) is one pattern for developing a learning model. The analysis of initial development needs is that a blended learning model with criteria is needed to improve literacy skills. Although in this model student’s character building is also observed. One indicator of increasing literacy skills is increasing creativity and critical thinking skills of students. This model is applied to 15 classes in different schools. The observation period was carried out collaboratively and collegial teaching and resulting in precise data. The results show that the model can achieve the goals when it is applied to learning well. However, further studies are still needed, so that learning outcomes are steady in schools with various conditions.
Uranium mineralization in the Nigerian Basement and sedimentary basins: Case study of North-Eastern Nigeria—Application of UNFC as a standard for sustainable energy in Nigeria

The exploration efforts related to uranium ore in Nigeria date back to the end of World War II in 1945. In an attempt to deploy its nuclear sovereignty, all the major powers competed in a search for uranium ore to provide sources of raw materials for generating energy. The Nigerian territory, being part of the British Empire, became a hive of exploration activities for western nations. According to Ogedengbe (1984), the first documented record of uranium exploration was by Beer (1952). The British Geological Survey, Atomic Energy Division, published a classified report of uranium mineralization in Nigeria.
Creative component of the professional activity of a university teacher

The creative potential of a teacher’s personality has a huge impact on high-quality specialist training, implementing the strategic line of teaching creativity with creativity when shaping the student’s readiness for constant search in informational and educational space. The body of knowledge and the requirements for it do not determine the essence of the teaching profession. A particular feature of this profession is that it has an impact on the entire lifestyle of the teacher in terms of its regime, working conditions, format and didactic form of communication with students, as well as emotional and volitional load. Moreover, teaching activities are more personality-centered than other professions and, therefore, personal qualities of the teacher play a significant role in achieving professional success. Pedagogical work is and will be creative because students, circumstances and the personality of the teacher are unique; thus, any pedagogical decision should come from these constant nonstandard factors. A teacher can only educate the way they wereveducated and do it as long as they work on their development, education and improvement of their pedagogical excellence. Pedagogical activity is one of the most difficult areas of human labor. Even the most profound knowledge of the subject is not enough for the successful performance of work. The work of a teacher is not a craft, but an art that requires from them great knowledge, high culture and pedagogical excellence
Exchange Rate in Ethiopia: A Graphical Analysis of Trends and Determinates

The question of exchange rate determination has been just in the core of academic debates.Even though many exchange rate determination models and their amendments have been developed, scholars/writers still cannot agree on which model best describes behavior of exchange rate.Exchange rate is an essential element of the macroeconomic variables that needs to be address in Ethiopia since the Ethiopian birr consistently losing its value and it is necessary to know the factors affecting, in order to analysis the determinate factors, to see which of those possible factors need to be care to control the exchange rate.The objective of this paper was to analysis the relationship among the level of exchange rate in Ethiopia and selected main determinant factors argued in both flow and stock theory of exchange rate determination.The analysis was carried out by detail reviewing the prior researchers work on the area and using correlation and trend analysis for the 18 (2000-2017 G.C) year data obtained from National bank of Ethiopia Quarterly Bulletin.The result shows that nominal exchange rate of Ethiopia relates positively with government spending, broad money supply, inflation level, economic growth, interest rate and negatively with term of trade balance and current account balance.Moreover, it revealed that, government spending; broad money supply and nominal interest rate are the major determinants than inflation, economic growth term of trade balance, and current account balance.
Design and Build A Clean Water Service Information System (Case Study of The Down Ciasem Village)

Abstract PAMSIMAS in Hilir Ciasem Village has customers that include residents of Hilir Ciasem Village. In managing customer data, the calculation of bills and payment of water bills are now still done manually. The purpose of this research is to build a web-based information system with PHP programming language and MySQL database as data storage. The design method in this study uses the System Development Life Cycle (SDLC) waterfall model. A clean water service information system is produced that can store data, manage customer data, and make payments easily. Testing is done using the Blackbox and UAT methods given to 3 respondents. The test results showed that the application is running as expected with a 100% success rate for Blackbox testing and 82% for the average UAT testing value. It showed that this application can overcome existing problems related to clean water services in PAMSIMAS Hilir Ciasem Village, Subang district. Keywords: Information Systems, Services, Websites, PAMSIMA
Cyber Gremlin: Social Networking, Machine Learning, and the Global War on Al-Qaida–And Is-Inspired Terrorism

Among our mundane and technical concepts, machine learning is currently one of the most important and widely used, but least understood. To date, legal scholars have conducted comparatively little work on its cognate concepts. This article critically examines the use of machine learning technologies to suppress or block access to al-Qaida and IS-inspired propaganda. It will: (i) demonstrate that, insofar as law and policy dictate that machine learning systems comply with desired constitutional norms, automated-decision making systems are not as effective as critics would like; (ii) emphasise that, under the current envisaged ‘proactive’ role of networking sites, equating radical and extreme ideas and ideology with ‘violence’ is a practical reality; and (iii) outline a workable strategy for cross-border legal and technical counterterrorism that satisfies the requirements for algorithmic fairness.
DynASP2.5: Dynamic Programming on Tree Decompositions in Action

Efficient exact parameterized algorithms are an active research area. Such algorithms exhibit a broad interest in the theoretical community. In the last few years, implementations for computing various parameters (parameter detection) have been established in parameterized challenges, such as treewidth, treedepth, hypertree width, feedback vertex set, or vertex cover. In theory, instances, for which the considered parameter is small, can be solved fast (problem evaluation), i.e., the runtime is bounded exponential in the parameter. While such favorable theoretical guarantees exists, it is often unclear whether one can successfully implement these algorithms under practical considerations. In other words, can we design and construct implementations of parameterized algorithms such that they perform similar or even better than well-established problem solvers on instances where the parameter is small. Indeed, we can build an implementation that performs well under the theoretical assumptions. However, it could also well be that an existing solver implicitly takes advantage of a structure, which is often claimed for solvers that build on Sat-solving. In this paper, we consider finding one solution to instances of answer set programming (ASP), which is a logic-based declarative modeling and solving framework. Solutions for ASP instances are so-called answer sets. Interestingly, the problem of deciding whether an instance has an answer set is already located on the second level of the polynomial hierarchy. An ASP solver that employs treewidth as parameter and runs dynamic programming on tree decompositions is DynASP2. Empirical experiments show that this solver is fast on instances of small treewidth and can outperform modern ASP when one counts answer sets. It remains open, whether one can improve the solver such that it also finds one answer set fast and shows competitive behavior to modern ASP solvers on instances of low treewidth. Unfortunately, theoretical models of modern ASP solvers already indicate that these solvers can solve instances of low treewidth fast, since they are based on Sat-solving algorithms. In this paper, we improve DynASP2 and construct the solver DynASP2.5, which uses a different approach. The new solver shows competitive behavior to state-of-the-art ASP solvers even for finding just one solution. We present empirical experiments where one can see that our new implementation solves ASP instances, which encode the Steiner tree problem on graphs with low treewidth, fast. Our implementation is based on a novel approach that we call multi-pass dynamic programming (M-DPSINC). In the paper, we describe the underlying concepts of our implementation (DynASP2.5) and we argue why the techniques still yield correct algorithms.
The Use of Visualization Technologies Within the Framework of Adult Education in the Digital Space

The article describes the results of research on the use of visualization technology in adult education in the digital space, also describes the features of the digital educational environment, and considers various aspects of visualization. The paper describes the main directions of personality realization in the digital educational space (cognitive, behavioral, value-semantic), which are possible through the use of the introjection mechanism. As part of the study of visualization, a study was conducted on its use in adult education in the digital space. The goal is to study in practice the possibilities of using visualization in adult education in the digital space. The study used: questionnaires, testing, and active learning methods. Research stages: development of the employee training program "rules of digital etiquette", interviewing employees before and after the program, implementing the program in organizations, testing employees immediately after the program is implemented and a month later in order to evaluate the results obtained. The results and contribution of the research to the scientific field are that the visualization method helped to find ways to solve the problems of training employees of organizations in an active format and achieve goals. it also contributed to a more effective assimilation of knowledge, awareness of the relationships between different components of the program, which allowed us to assess the role and importance of visualization in training at a higher level. Also, the use of visualization in the process of training and development of personnel helps to improve the ability to solve problems and formulate their goals, which leads to increased efficiency. In The use of visualization allows you to qualitatively increase the level of imaginative thinking of staff, contributes to the development of cognitive flexibility, the ability to prioritize activities, clearly present goals, plans, and tasks.