Reviewerly/exHarmony huggingface dataset:
THE EFFECTIVENESS OF USING IMAGE MEDIA AND REALIA MEDIA ON THE LISTENING ABILITY OF CHILDREEN AGED 4-5 YEARS

&lt;p&gt;&lt;span class="fontstyle0"&gt;The aim of this research is to find the effectiveness of pictures and realia usage towards the listening capability of children at 4-to-5 year old. &lt;/span&gt;&lt;span class="fontstyle0"&gt;This research uses comparative method to compare two groups that is pictures and realia as the instructional media. Meanwhile, the variable on this research is the listening capability of the children. &lt;/span&gt;&lt;span class="fontstyle0"&gt;The population of this research is all students of Gugus 9 Bugenvil Kindergarten School Surakarta grade A. The chosen samples are Berita Hidup Kindergarten School, Indriyasana Kindergarten School, Paramayoga Kindergarten School, and Animah Kindergarten School. They are chosen by using the cluster random sampling method. The data is collected through performances, interview, and documentation. In analyzing the data, the researcher uses One Way ANOVA. The result of this research shows that there is no difference between the listening capabilities of children at 4-to-5 year old based on the pictures and realia usage. The use of instructional media either pictures or realia must considers the number of the children in a class and also the size of the instructional media itself, therefore it can be effective.&lt;/span&gt; &lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
EFL Students in Speaking Skill: Identifying English Education Students’ Perceptions of the Psychological Problems in Speaking

This research focuses on students' English speaking problems, and this research aims to find out the most dominant problem of speaking in English as a Foreign Language (EFL) situation faced by the students of English Departement at Tidar University. The research method used in this research is the qualitative method. The writer uses a questionnaire as a tool for data collection. From the questionnaire, the problems that most dominant faced by the English education students of the English Department at Tidar University is Linguistic problems. Linguistic problems include less grammar, lack of vocabulary, and poor pronunciation. The next is psychological problems include, including lack of self-confidence, anxiety, and shyness. Meanwhile, instructor related problems did not have much effect on speaking problems for the students. In conclusion, Linguistic problems are the most dominant problem faced by the English education students of the English Department at Tidar University.
Critical thinking development technology: theoretical basis and its application in secondary school (to teaching the russian language)

The paper presents a modern pedagogical technology for the critical thinking development, aimed at forming the pupils' ability to analyze facts, phenomena, and processes from the standpoint of logic in their relationship and interdependence. It reveals the specifics of critical thinking development technology, provides a description of the methodology for critical thinking development using the example of teaching the Russian language at high school: the stages of the educational process (challenge, comprehension, reflection), techniques and methods of this technology, examples of their application and advantages of use. In course of the study, the authors conclude that the critical thinking development technology is implemented through the interactive inclusion of students in the educational space through a specific organization of the educational process based on three main stages and a system of teaching methods that consistently implement the tasks at each stage. The critical thinking development technology activates the pupils’ mental and speech activity and contributes to their active involvement in the educational and cognitive process. The study is based on the methods of observation, analysis, synthesis, description, comparison, and generalization.
The Impact of Employee Engagement on the New Generation of Employees’ Turnover Tendency

Taking new generation employees as the research object and the social identity theory and social exchange theory as the basis, SPSS22.0 is used to explore the mechanism of action of employee engagement on turnover intention, and the intermediary role of organizational identification is also discussed in the influence mechanism of employee engagement and turnover intention.According to the results, there is significantly negative correlation between the new generation of employee engagement and turnover intention.This paper provides a new theoretical perspective for studying the turnover tendency of the new generation of employees.Theoretically, it enriches the research on the role of the antineutic mechanism of dimission intention, and provides a good enlightenment for the new generation of employees to quit office in practice.
Neural Network Algorithms and Methods for Monitoring the Psychological State of Society During Epidemics

The article presents the issue of monitoring the sociopsychological state of society in the period of epidemics by means of neural network algorithms and methods. Publications of sociologists, psychologists, and philologists, who have created a number of methods for in-depth analysis of emotions and tonality of texts in the Internet media, including cognitive and interpretive decoding, are devoted to substantiating approaches and methods for studying the content of Internet content. The purpose of the study is to substantiate the methods and computer tools for studying the socio-psychological state of society in crisis situations, in particular epidemics, based on neural network technologies based on Internet resources. The article considers methodological approaches and particular methods of their computer implementation. It is shown that for the computer analysis of the psychological state of society in the context of the epidemic, it is necessary to adapt the methodology for designing neural network technologies, as well as systems for collecting and textual analysis of the content of electronic and Internet resources. An effective approach to creating such systems is embedding, which uses a dense vector representation of tokens in a multidimensional space, the dimension of which should be selected experimentally in the process of training and testing the developed artificial neural networks (ANN). For contextual neural network analysis, a multiclass-oriented ANN with regularization layers of the form “SpatialDropout1D”can be used. The neural network architecture can be built on fully connected layers with an activation function of the “ReLU” type. The scientific and applied significance of the results of neural network analysis based on Internet resources is the possibility of obtaining classified assessments and segmentation of target information about the psychological state of society during periods of epidemics. This information can be used to effectively counter information threats to society.
Intriguing New Model for Improved Visibility and Access to Theses and Dissertations

The George A. Smathers Libraries at the University of Florida (UF) are participating in an innovative program to explore whether making electronic theses and dissertations (ETDs) available in print through online retail sites can have positive impacts for graduates, the University, and the general public. Digitization and metadata enhancement have improved discoverability and ease of access for ETDs in the Institutional Repository at the University of Florida (IR@UF). However, through this new program, research can be shared widely beyond academe with practitioners, corporate researchers, independent scholars, and international readers. This paper will describe how the Smathers Libraries have worked with a corporate partner, BiblioLabs, to leverage online retailers’ discovery engines to promote print versions of ETDs while alerting readers to the free digital versions available in the IR@UF. This paper will also share how alumni, current graduate students, and other campus stakeholders have responded to the pilot of this new service. The Libraries are monitoring referred traffic to the IR and sales data. UF is the first university to contribute content to this effort, but we expect others to follow suit if the data supports the expectations of the University, the Libraries, and our graduates.
Generating CCG Categories

Previous CCG supertaggers usually predict categories using multi-class classification. Despite their simplicity, internal structures of categories are usually ignored. The rich semantics inside these structures may help us to better handle relations among categories and bring more robustness into existing supertaggers. In this work, we propose to generate categories rather than classify them: each category is decomposed into a sequence of smaller atomic tags, and the tagger aims to generate the correct sequence. We show that with this finer view on categories, annotations of different categories could be shared and interactions with sentence contexts could be enhanced. The proposed category generator is able to achieve state-of-the-art tagging (95.5% accuracy) and parsing (89.8% labeled F1) performances on the standard CCGBank . Further-more, its performances on infrequent (even unseen) categories, out-of-domain texts and low resource language give promising results on introducing generation models to the general CCG analyses.
The Effect of Financial Inclusion on Economic Growth and Human Development: A Case Study of the Islamic World

The purpose of this paper is to determine the effect of financial inclusion on economic growth and human development for Muslim countries. The importance of this topic lies in shedding the light on the crucial and vital role that financial inclusion plays in the development of human capital and thus leading to economicgrowth.An econometric model was developed to estimate this relationship empirically.The data was collected from the World Bank Group for 28 countries.The correlation coefficient was 0.79, indicating that there is a strong positive correlation between financial inclusion and human development.Nonetheless, the two regression models indicated that financial inclusion is one of the independent variables which affect both economic growth and human development; where a 1 percent increase in IFI will result in both a 0.83 percent increase in GDP per capita and a 0.09 percent increase in HDI.Therefore governments should try to create an environment that promotes an improvement in the quality of financial services which in turn will contribute to sustainable economic development.
RESILIENCE AND LIFE-MEANING ORIENTATIONS IN STUDENT AGE (ON THE EXAMPLE OF THE REPUBLIC OF KAZAKHSTAN AND THE RUSSIAN FEDERATION)

The article deals with the problem of resilience and life-meaning orientations in students on the example of Kazakhstan and Russia. The data of the study are presented. It is shown that the overall positive indicator of resilience and its components prevail in the sample of students in Russian.
The Anxiety as a Trigger of the Repressive Actions in the novel Still Alice

This research focuses on the anxiety of Alice Howland in the novel Still Alice by Lisa Genova. There are two objectives of this research; 1) to find out the kinds of anxiety on Alice Howland in the novel Still Alice by Lisa Genova and 2) to explain the condition of Anxiety trigger the repressive Actions to Alice Howland in the Novel Still Alice by Lisa Genova. In this research the researcher used the theory is Psychoanalysis by Sigmund Freud that talk about Anxiety and Defend Mechanism; the methodology employed is qualitative and the researcher present the issues descriptively and using the data collected from the novel were taken out as the primary data. The result the research was found the kinds of anxiety that occurred in Alice Howland namely hormonal anxiety, social anxiety and attack anxiety which could trigger repressive actions in Alice Howland and the researcher found several repressive actions in Still Alice's novel, namely repetition, moral felling and composing self.
Weather Forcast Optimization Using Learning Vector Quantization Methods with Genetic Algorithms

Weather forecasting is one of the important factors in daily life, as it can affect the activities carried out by the community. The study was conducted to optimize weather forecasts using artificial neural network methods. The artificial neural network used is a learning vector quantization (LVQ) methods and genetics algorithms (GA). BMKG weather data was originally modeled using the LVQ method, then also created the LVQ Method Optimization weather forecast model using GA. Data attributes consist of numeric and categoric. Numeric attributes as input parameters are: temperature, evaporation, sunlight, humidity and rainvol. While the categorical attributes are ourput from weather forecasts include: Cloudly (C), Partly Cloudly (PC), Sunny (S), Rain (R) and Cloudly rain (CR). Sample data used is 1096 data. Both models were tested so that they obtained 72% accuracy results for weather forecast models using the LVQ method and 73% of the weather forecast accuracy results that were optimized using GA. The results have not achieved the most optimal results because it turns out that citeko region weather data is not suitable for use in both methods. Because the data has an imbalance in the amount of data per class.
FOREIGN STUDENTS IN RUSSIA IN THE CONTEXT OF MODERN REALITIES OF HIGHER EDUCATION DEVELOPMENT: INTERDISCIPLINARY RESEARCH EXPERIENCE

The article highlights various approaches and plots of the research of foreign students studying in Russian higher school, from the standpoint of the accumulated theoretical and applied experience in the disciplinary practices of social humanitarian sciences. Considered separately, disciplinary practices in the aggregate of key areas and research problems of this topic made it possible to identify a common layer of problem areas and topical issues, among which the problems of adaptation of foreign students to the social and cultural realities of the Russian educational polyethnic environment, to regional conditions and factors of the functioning of the system of education and the sphere of interethnic relations are most emphasized. It is shown that the methods and methodological models proposed by scientists for studying this problem are diverse and need to be rethought from the point of view of the changed educational and sociocultural realities, as well as the contingent of the foreign students themselves. The need to develop a sociological toolkit for studying the problem of integrating foreign students into the educational and ethnosocial space of Russia is substantiated.
Prediction of the Number of Women Population in Medan City 2025 by Using the Leslie Matrix

Population problems can cause problems, both in terms of political, economic, socio-cultural life, defense and security, as well as other aspects of life concerning the use of natural resources and the environment.By knowing the population growth rate, the Medan city government can implement a policy to anticipate social problems that may arise.This study aims to determine the number and rate of female population growth in the city of Medan in 2025.The Leslie matrix model is a model that can be used to predict the number and rate of female population growth.The step taken to predict the number of population in the following year is to form a column vector whose entry is the initial number of population for each age class.Next look for n (t + p) which is the total population for the following year using the formula n(t + p) = A p n(t) where A is the Leslie matrix.Furthermore, to predict the population growth rate using the Leslie matrix is to find the positive eigenvalues of the matrix .Based on positive eigenvalues , three cases occur, namely: 1) the population will tend to increase if > 1; 2) the population will tend to decline if < 1 ; 3) the population will tend to be stable if = 1.Based on data analysis, the total female population in the city of Medan in 2025 is 1,576,294.Furthermore, the eigenvalues of = 1,3673 which mean that the number of female populations in the city of Medan tends to increase.
Temperature verification method of solar heat gains in installations with flat plate solar collectors – case study

Temperature verification method of solar heat gains in installations with flat plate solar collectorscase study
Use Of E-Learning To The Effectiveness Of Students In Coronavirus Pandemic

Abstract. This research aims to determine the effectiveness of student learning in the coastal areas of the island of Sumatra at the time of the Covid-19 virus pandemic using e-learning. The respondent is an accounting student at the state Polytechnic in Bengkalis where almost all students live in the coastal areas of the island and differ from those in urban areas.&#x0D; The variables examined the perception of benefits, perception of ease, and quality of service towards the use of e-learning and the effectiveness of student learning. The results showed a perception of benefits and quality of service impacting the use of e-learning and the effectiveness of student learning. While the perception of simplicity does not affect the use of e-learning and the effectiveness of student learning.&#x0D; The results of research using track analysis show that variable perception of benefits and quality of service affects the effectiveness of learning through the use of e-learning as a mediation variable. While the variable perception of ease has no influence on the effectiveness of student learning through the use of e-learning as a mediation variable.
Facial feature exaggeration system for caricature generation

A facial caricature is an art form that captures the facial features of a person and exaggerates those features. Caricatures are commonly used to convey humor and sarcasm, as gifts, souvenirs, and social networking avatars. There are attempts to generate facial caricature, but these attempts have just focused on transforming the style into artistic style and do not exaggerate facial features. We focus on the exaggeration of facial features and propose a facial feature exaggeration system for generating portraits. Feature detection by comparing facial landmarks detected by the facial landmark detector with the mean face, and feature exaggeration by transforming the facial landmarks further away from the mean face. We also experiment with a new exaggeration method that combines normalization to exaggerate facial features. The results show that features can be exaggerated without collapsing the shape.
Structural analysis of the proposed multi-layer dodecarotor UAV

In this study, structural analysis of a multilayer dodecarotor drone system is presented. In the structural analysis performed with the finite element method, a multi-body analysis was performed for the major components that make up the system in order to see the effect of the contact forces at the joints due to assembly. In this way, the mechanical behavior of the material used for the main parts of the drone under the effect of the predicted forces was examined and its minimum requirements were determined. Among these parts, currently available carbon fiber materials were used for components with standard geometry. However, more specific components with non-standard geometry are produced by additive manufacturing method using Polylactic Acid material. The forces acting on the system was predicted by considering the propeller and motor properties to be used in the system and the stress, strain and displacements occurring in the components under these forces was examined. Finally, system strength has been discussed by presenting the obtained analysis results both graphically and numerically.
PENGGUNAAN GOOGLE CLASSROOM SEBAGAI MEDIA PEMBELAJARAN PADA MATA PELAJARAN BAHASA ARAB DI MAN 3 BOYOLALI

Learning media is the main supporting element in learning, especially the current conditions.Google classroom is one of the media that can be applied.The purpose of this study was to determine how to use Google classroom in Arabic learning at MAN
Semiparametric inference for mixtures of circular data

We consider X1,…,Xn a sample of data on the circle S1, whose distribution is a two-component mixture. Denoting R and Q two rotations on S1, the density of the Xi’s is assumed to be g(x)=pf(R−1x)+(1−p)f(Q−1x), where p∈(0,1) and f is an unknown density on the circle. In this paper we estimate both the parametric part θ=(p,R,Q) and the nonparametric part f. The specific problems of identifiability on the circle are studied. A consistent estimator of θ is introduced and its asymptotic normality is proved. We propose a Fourier-based estimator of f with a penalized criterion to choose the resolution level. We show that our adaptive estimator is optimal from the oracle and minimax points of view when the density belongs to a Sobolev ball. Our method is illustrated by numerical simulations.
Improving the energy efficiency of a solar power plant

The urgency of the work is due to the feasibility of increasing the energy efficiency of solar power plants through the use of solar energy concentrators. Ways to improve the energy efficiency of solar panels using a sys-tem of directional mirrors, flat Fresnel lenses, spherical concentrators and trackers have been investigated. It is established that the most optimal way to improve the energy efficiency of solar panels is to use inexpensive track-ers with a simple design. The analysis of known types of solar panels, which differ in materials from which their elements are made, and the coefficients of efficiency – dependence of energy produced by a photocell on the intensity of solar radiation per unit of its surface has been carried out, and the type of solar panels by the criterion “price-quality” has been selected. A tracker design has been developed to track the angle of inclination of solar panels to increase efficiency. The electricity generated by the proposed solar power plant was calculated using an online calculator. It is projected to reduce losses when generating electricity for a given power plant due to the use of a tracker compared to a fixed power system, with the same number of solar panels. In order to reduce the cost of the tracker, it is suggested to orientate it to the south at once, and to change the inclination angles twice a year (in early April and late August). The energy efficiency of the power plant is calculated in two stages. At the first stage the amount of electricity from solar panels per year when adjusting only the angle of inclination of the panels to the south is calculated. At the second stage energy efficiency of the power plant is calculated taking into account the increase of energy efficiency of the solar power plant when using the tracker system. The calculated electricity generation of the proposed solar power plant with tracker confirmed the efficiency and feasibility of using the designed tracker system. The application of the designed tracker system allows to increase the energy efficiency of solar panels by an average of 25%.