Reviewerly/exHarmony huggingface dataset:
Andragogical Orientation of Social Sphere Specialist’s Educational Training in the Context of Innovative Projects Implementation

The article reveals the problem associated with the training of social specialists in the context of the andragogical paradigm. Based on a new worldview discourse that strengthens the anti-discrimination policy in relation to low-mobility groups of the population and groups exposed to socio-economic risks that may threaten a decrease in the quality of life, the authors see in increasing the professional competence of social specialists one of the most important factors in solving this problem. In the system of interaction &amp;quot;specialist-recipient of social services&amp;quot;, among which there are social and pedagogical services, a significant place is occupied by competencies that require the ability to inform, advise, convince, conduct a constructive dialogue, which implies knowledge of adragogy as a science of theory, content and learning technologies adults. In connection with overcoming the extensive path of development of social policy and the activation of civil initiatives, the use of the potential of the social environment, special attention is paid to innovative technologies in social work related to raising funds, in this case, to the social sphere. The authors raise the question of studying the direction of andragogical activity, considering innovative areas that have become more active in recent years in order to overcome the growing problems associated with social uncertainty. In this regard, the authors consider it expedient to propose the organization of andragogical seminars for social specialists.
Analysis of how Economic Growth in Developing Countries is Influenced by Public Borrowing: A Case Study of Rwanda

Purpose: This study sought to analyze how economic growth in developing countries is influenced by public borrowing referencing on Rwanda as a case study. &#x0D; Methodology: The study used time series data from 1980 to 2018. The study used domestic debt and external debt to analyze how it influences Rwanda’s Gross Domestic Product (GDP). To achieve this objective, secondary data was collected from the National Bank of Rwanda and the debt office in Rwanda. The study employed multiple regression model to identify the relationship between the dependent variable (GDP) and the independent variables (domestic debt and external debt). The t-test was used to confirm the formulated hypotheses at the 5% significance level.&#x0D; Findings: The study found out that a positive relationship exists between IMF Loan and Rwanda’s gross domestic product, while a negative relationship exists between domestic debts and Rwanda’s gross domestic product, which violates the Keynesian theory of public debt.&#x0D; Conclusion: The study concludes that both domestic and external debt significantly affect economic growth in Rwanda.&#x0D; Recommendation: The study recommend that developing countries should develop a good structure of Debt Management Office including a plan for capacity building in order to make its proper debt strategy analysis without external support. The study also recommend developing countries to reduce reliance on internal borrowing to reduce competition between citizens and the government which can reduced economic growth. Furthermore, the study recommend developing countries to account for public debts and ensure that such debts are solely acquired for economic purposes rather that political purposes.
Exhibition projects of creative workshops of the Russian Academy of Arts (Moscow) 2015–2019

Artistic images are created by creator – painters, sculptors, architects, decorators… Their works influence aesthetic and ethical norms, form a person`s historical memory, educate categories of consciousness that unite us as members of a civil society. If artists are deprived of their creative production base, if the links of the unified system of professional training are broken, society will gradually lose the parameters of its identity and native artistic images will replace those of others. The need for the Russian Academy of Arts to preserve an integral system of training professional artists clearly confirms by our album.
PENGEMBANGAN BAHAN AJAR BERBENTUK MEDIA POSTER PADA MATERI CERITA

This study aims to develop teaching materials in the form of poster media in learning Indonesian fable story material by measuring the validity, practicality and effectiveness of the poster media. This research was tested at MTs Al Khoiriyah 2 Mulyorejo Dalegan Panceng Gresik, the subject of the research was class VII stud ents with 10 students. This study uses a development model as suggested by Thiagarajan and Sammel (1974). This model consists of four stages of development, namely define, design, development, and dissemination. The instruments used in this study were a material expert validation questionnaire, design expert validation, practicality questionnaire, student response questionnaire and pretest posttest questions to determine the effectiveness of teaching materials in the form of poster media. The results show that: the development of poster media products has gone through the assessment stage by material expert lecturers, design expert lecturers, practitioners (teachers), field trials (students). The overall rating average got a final score of 89.6% with a very decent category. Based on these results, the teaching materials in the form of poster media that have been developed are feasible to use.
Differences in geochemical behavior of Be, Nb, Ta, Rb and Cs in NaCl-H<sub>2</sub>O-CO<sub>2</sub> fluids: Implications for rare metal mineralization processes

Most rare-metal-bearing pegmatites in the world, especially LCT-type pegmatites, produce inclusions containing CO 2 [1][2][3][4] and Li 2 CO 3 , calcite and (Mn, Fe)CO 3 sub-minerals are found in fluid inclusions [5][6] .Therefore, CO 2 is common in LCT-type pegmatite magmas, but compared with other volatiles, the effects of CO 2 on rare metal mineralization processes was less studied.To provide insight into the formation of rare metal-bearing pegmatite deposit, high pressure experiments were performed to quantify the role of CO 2 on the dissolution and distribution behavior of pegmatite-type rare metals (Be, Nb, Ta, Rb and Cs).Metal oxides was placed together with a single-phase NaCl-H 2 O-CO 2 fluid (8 wt% NaCl Eq.) at 600 â-¦ C and 300MPa.At such conditions, combined microthermometric and LA-ICP-MS analysis of synthetic fluid inclusions reveals that CO 2 -rich fluids can transport comparable amounts of rare metals as in H 2 Odominated solutions.As with previous studies [7] , CO 2 can enhance immiscibility and independent gas phase separation, affecting the migration of rare metals.
EFFECT OF BRAINSTORMING TECHNIQUE IN PROMOTING STUDENTS' SPEAKING SKILL AT UPT SMPN 4 PINRANG

This research aimed to know the effect of brainstorming technique in fluency and accuracy of the students’ speaking skill. The population for research was the eighth grade (VIII.6) of UPT SMPN 4 Pinrang that consist of 32 student. This research used quantitative method, with pre-experimental research. The instrument that used to collecting the data was test for students speaking in descriptive text.For results of the information; it appears that the understudies cruel score of pre-test in familiarity is 63.59. While the post-test is higher than mean score of pre-test, it is 80.31. With this improvement, it means that there is a significant difference. The means score of the learners pre-test in exactness is 65.31, whereas the post-test was high than 83.12. It implies that there is significance diverse. The results of advancement speaking from pre-test to post-test talking fluency is 26.29% and speaking accuracy is 27.26%. Therefore, Brainstorming Technique gives effect on students’ speaking skill.
Application of Artificial Intelligence to the Development of Playing Ability in the Valorant Game

From children to adults, everyone enjoys playing online games as a form of entertainment. Online games have a more popular market because they can meet other players worldwide connected to the internet. NPCs (players controlled by a computer system) are also available in online games as player substitutes or for skill practice. As a result, we have been interacting with artificial intelligence in the competition and our environment without realizing it. The game's AI (Artificial Intelligent) can offer an experience similar to playing with other players. Artificial intelligence may always influence online games, whether to replace opponents or choose the game's plot. First Person Shooter (FPS) game Valorant was made available for free on the Windows platform by Riot Games. With a CS: GO-like concept (Counter Strike Global Offensive). The amount of money you have available for each round must be calculated at the equipment purchasing phase to produce effective gaming equipment. The Greedy Algorithm is one of the algorithms that can be used to choose the equipment for the money/cred owned. This algorithm will select the most expensive item the player can buy each round so that the player's chances of winning that round increase.
FORMATION OF TEACHER’S PROFESSIONAL COMPETENCE IN AN INSTITUTION OF HIGHER EDUCATION IN THE CONDITIONS OF INCLUSION

The article describes the process of formation of professional competence of teachers in institutions of higher education in the process of professional activity in the conditions of inclusive education. Now, competence is interpreted as the ability or readiness to implement the acquired knowledge, skills, and abilities in real activity. Competence components are subject and operational knowledge, skills and abilities – ability and readiness to use them in activities and confidence in activities and responsibility for their results. In modern society, which is constantly undergoing changes, the high professionalism and professional competence of teaching specialists, teachers, has acquired an important importance, because the competitiveness of specialists is an urgent issue that is being prepared by a higher education institution. This directly applies to workers in the field of education with an inclusive population, because teachers must be competent in the scientific field of activity, because professional education has always been and continues to be aimed at the comprehensive development of the individual in order to prepare him for active and effective participation in public production with the greatest benefit for themselves and for society as a whole. In world educational practice, the concept of competence acts as a central, a kind of “nodal” concept, because the competence of an individual: combines the intellectual and practical components of education; the concept of competence contains the ideology of interpreting the content of education, which is formed from the result; the competence of the individual has an integrative nature, as it incorporates a number of homogeneous or closely related knowledge and experience belonging to broad spheres of culture and activity (informational, legal, etc.). Personal competence has a certain structure, the components of which are related to a person’s ability to solve various problems in everyday, professional or social life. The structure of competence of a person includes: competence in the field of independent cognitive activity; in the sphere of civil and social activities; in the field of social and labor activity; competence in the household sphere; in the field of cultural and recreational activities. Among the knowledge and practical experience formed in the process of a person achieving a certain level of competence are the skills of selfeducation, critical thinking, independent work, self-organization and self-control, teamwork, the ability to predict the results and possible consequences of various solutions, establish cause-and-effect relationships connections, find, formulate and solve problems.
DEVELOPMENT OF EDUCATIONAL GAME APPLICATIONS AS EARLY CHILDREN'S LEARNING MEDIA

The development of technology information could increase performance and enable various activities could be held with fast, precise, and accurate so that finally will increase productivity. Technology is one style of life moment this. With android, humans can too get entertainment without going to something place, that is, one of them through the games in the application android. Besides that, there are many game features that are not only as entertainment play however already lots of games for honing power thinking and logic that can introduce material for more interesting for accepted and understood especially by children who are still in age early, they are in a period of most rapid growth and development good physique nor mentally. because of that, the author create educational games based on the system Android operation with the hope that the children could direct use the application game. With getting knowledge more a lot and, changing patterns learn not to be too bored and bored. Educational games this is application learning for a child at an age early starting from around ages 3 to 6 years containing Theory learning about introduction animals, letters, numbers, colors, and fruits. With apply results of educational games this, hope could help children in learning and can increase patterns think creative as well as add more knowledge.
Efficient Ground-state Searches by Scheduling Sparsity of Interactions of Physical Spin Dynamics for Ising Spin Computing

Ising spin computing has received gaining attention as an efficient computing technology for solving combinatorial optimization problems. We have introduced extraction-type majority voting logic (E-MVL) that purposely disconnects the interactions between spins and controls the sparsity to find the ground state. In this study, we examine how to control the sparsity, which is a key factor in performance. As a result, the residual energy of E-MVL is reduced by 33.2% compared with that of highly optimized simulated annealing (SA) at solving the Sherrington-Kirkpatrick model with 400 spins. Further, we show that E-MVL exhibits acceleration by increasing the sparsity. These results indicate that E-MVL provides faster and more accurate optimizations than SA by setting an appropriate sparsity.
Predictive maintenance of pumping system bearings with evolved autoencoders

Industry 4.0 introduced the application of various remote sensing and intelligent or autonomous decision-making to the manufacturing floors. One of the most important aspects is the maintenance of the machinery and equipment preemptively so that their breakage does as minimal damage (in downtime, safety, etc.) as possible. Analyzing the machinery data with machine algorithms (especially artificial neural networks (ANN)) plays a crucial role. However, designing and training ANN algorithms is still a time-consuming and complex process with various remaining issues, including generalization, the necessity for large datasets, and high time complexity. As a result, a few decades ago, neuroevolution was developed to improve the ANN construction process. Recently, it has gained considerable attention alongside a rise in computational power. In this paper, we use the power of neuroevolution to design a specific type of ANN called an autoencoder (AE) which can be used for a particular type of task, such as anomaly detection (AD). Our proposed method, has shown promising results. Our approach achieved a peak test accuracy of 75% in 0.4 quantiles and an area under the curve (AUC) of 73% in AD on the predictive maintenance dataset. Our proposed method can serve as a starting point for further research.
Analisis Model Matematika PLSQ Jumlah Perokok

Smoking is a habit that is favored by some people, but smoking causes health, economic, social and environmental burdens not only for smokers but also for others. This study aims to determine the mathematical model of the number of smokers, analysis of the equilibrium point of the PLSQ mathematical model of the number of smokers and a simulation of the mathematical model of the PLSQ of the number of smokers. In this study, the researcher assumed that the current smoker had a death rate caused by smoking and that the former smoker after he recovered, would not return to smoking. The results obtained are the PLSQ mathematical model of the number of smokers which produces 1 (one) smoke-free equilibrium point and 1 (one) smoker endemic point from the model. The stability analysis of the model was carried out using the Routh-Hurwitz Criteria to identify the characteristics of the eigenvalues. From the results of the stability analysis, it was found that the smoker-free equilibrium point E0 and the smokers endemic equilibrium point E1 were stable if the condition for the relationship between parameters were met. At the end of the study, a simulation model was given using the Maple application
Human pose estimation based on intra-level feature fusion

To improve the low estimation accuracy and poor robustness of invisible human joints in 2D human pose estimation in computer vision, a convolutional network based on intra-layer feature fusion is proposed to improve the estimation accuracy. Firstly, the convolutional block based on intra-layer feature fusion is proposed to obtain abundant local features and reduce the influence of local information loss. Secondly, intermediate supervision is introduced to reduce the influence of vanishing gradient in deep neural network. Finally, several proposed convolutional blocks form the neural network in cascade, through continuous Up-Sampling and Down-Sampling operations, convolutional blocks obtain local information from images with different resolutions and have the information fully fused, the local information after fusing can establish the connection between joints and accurately estimate the joints. The proposed neural network achieves first-class results on standard benchmark including the LSP dataset and its extended dataset.
It Costs to Get Costs! A Heuristic-Based Scalable Goal Assignment Algorithm for Multi-Robot Systems

The goal assignment problem for a multi-robot application involves assigning a unique goal to each robot to minimize the total cost of movement for all the robots. A significant step in the state-of-the-art algorithms solving this problem is to find the cost associated with each robot-goal pair. For a large multi-robot system with many robots and many goals in a complex workspace, the computation time required to find the paths for all robot-goal pairs may become prohibitively large. We present an algorithm that solves the optimal goal assignment problem without computing the paths between all the robot-goal pairs. Instead, our algorithm computes the obstacle-free optimal path for any robot-goal pair in a demand-driven way, i.e., if it is absolutely required to ensure the optimality of the goal assignment. We evaluate our algorithm extensively on both randomly generated and standard workspaces for hundreds of robots. Our experimental results demonstrate that the proposed algorithm achieves an order-of-magnitude speedup over the state-of-the-art baseline algorithm. To the best of our knowledge, our algorithm is the first one to solve the multi-robot optimal goal assignment problem without computing the paths for all robot-goal pairs explicitly, guaranteeing high scalability.
Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies

Let f(y∣θ),θ∈Ω be a parametric family, η(θ) a given function, and G an unknown mixing distribution. It is desired to estimate EG(η(θ))≡ηG based on independent observations Y1,...,Yn, where Yi∼f(y∣θi), and θi∼G are iid. We explore the Generalized Maximum Likelihood Estimators (GMLE) for this problem. Some basic properties and representations of those estimators are shown. In particular we suggest a new perspective, of the weak convergence result by [14], with implications to a corresponding setup in which θ1,...,θn are fixed parameters. We also relate the above problem, of estimating ηG, to nonparametric empirical Bayes estimation under a squared loss. Applications of GMLE to sampling problems are presented. The performance of the GMLE is demonstrated both in simulations and through a real data example.
Organizational Ignorance in the Educational Institutions: Reasons and Treatments

The search targets the extent of the existence of organizational ignorance in higher education institutions, as well as recognition of reasons that led to the emergence of organizational ignorance and how to face and manage them through administrative leaders in the field of research.The problem of the study relies in the submission of many questions , the most important of them is that the cases of organizational ignorance vary in terms of their level of presence in the field being investigated.Is there a treatment for the cases of organizational ignorance in the researched field?The research employed the descriptive and analytical method in proposing theoretical and conceptual ideas, data processing, analysis and interpretation.The field of research was determined at the University of Mosul, represented by its colleges, and the search sample was chosen from the teaching staff working in the researched colleges with various scientific titles.The questionnaire was used to collect primary data from the 239 individuals surveyed, and by using a number of statistical methods, the data were analyzed and processed to arrive at the opinions of the individuals researched towards the paragraphs of the questionnaire.Ambiguity was the most common cause of organizational ignorance in the researched field due to the lack of clarity of the work instructions as well as the possibility of interpreting them in several meanings, which may cause repeated mistakes in work because of the large number of instructions and the duplication of their interpretation ‫ة‬
Economic Analysis of Waste Heat Utilization in Data Center under Different Business Models

Waste heat utilization of data center is an important way to realize green and low-carbon transformation of data center industry. This paper analyzes typical business models suitable for data center waste heat utilization, including build-transfer mode (BT), build-operate-transfer mode (BOT) and operating lease mode. Then, the cost-benefit models of different business models are constructed and the economic benefits of different business models are analyzed. Moreover, we discuss the influence of construction investment, heating price, operating cost, heating area and other factors on payback period, net present value and internal rate of return. Finally, some suggestions are put forward for the popularization and application of waste heat utilization technology in data centers in the future.
Android Application Clustering with K-Means Method

Android is the two primary operating systems used worldwide besides Apple's iOS. The many uses in the world run the business environment, one of which is the application. Clustering is a way to group a set that has the same characteristics. This paper aims to determine the data clusters of applications in the Google Play Store on Android-based smartphones. This research uses the google play dataset from Kaggle to do clustering. The Clustering process uses the K-Means method because it is easy to adapt and commonly used. The use of the Euclidean distance function gives better results because the cluster sum of squared errors is 40,34548185675776, which is smaller than Manhattan, which is 230,14186656443604.