Reviewerly/exHarmony huggingface dataset:
THE EFFECT OF THE CHARACTER QUOTES STRATEGY ON THE STUDENTSâ€™ READING ABILITY

The problem in this study â€œIs there any significant effect of the application of Character Quotes Strategy on the students reading ability on narrative text to the eighth grade students of PGRI junior high school of Tebedakâ€. The objective of the study was to find out whether or not there were significant effect of the application of Character Quotes Strategy on the students reading ability on narrative text to the eighth grade students of PGRI junior high school of Tebedak. The population was the eighth grade students of PGRI junior high school of Tebedak. The sample was 30 students chosen by using purposive sampling. The method used in this study was the poor experimental method. In collecting the data, the writer used written test consisted of 40 items in the form of multiple choice tests. The written test was used to collect the data and analyzed through the matched t-test. Based on the studentsâ€™ scores, it is found that it is significant effect of the application of Character Quotes Strategy on the students reading ability on narrative text to the eighth grade students of PGRI Junior High School of Tebedak. The studentsâ€™ achievement can be seen from the average of their score in pre-test it was 56.33 and the average score of post-test was 74.58. The t-obtain 14.919 exceeding 1.699 as it is critical value. In indicated that the Ho was rejected and Ha was accepted. It means that it was significant effect of the application of Character Quotes Strategy on the students reading ability on narrative text to the eighth grade students of PGRI Junior High School of Tebedak.Â Keywords: teaching reading, narrative texts, Character Quotes Strategy
An Enhanced Concept Based Approach for User Centered Health Information Retrieval to Address Medical and Vocabulary Mismatched Issues

With the huge growth in health related information online, user centered health information retrieval has become an obli-gation today.In spite of all its numerous benefits, laymen patients are faced with the challenge of finding relevant and authoritative information online due to vocabulary mismatched issues between laymen queries and expert vocabulary during query expansion.However, this study is focused on designing an enhanced concept based approach for user cen-tered health information retrieval that will address vocabulary mismatched issues.The Proposed Enhanced Concept Based Approach has two special modules fully designed and incorporated in it namely: vocabulary controlled module and the medical terms control module to specifically address vocabulary mismatched issues by ensuring that only the most specific terms in a layman's search query are searched for and their synonyms extracted from the dictionary of the selected dataset.We presented and discussed the performance of the proposed enhanced concept based approach with the existing information retrieval approaches.We concentrated on comparing and evaluating the proposed enhanced concept based approach with three existing approaches used in health information retrieval which are: Concept Based Approach, Query Likelihood Model and the Latent Semantic Indexing.The experimental results obtained using the Met-amap, MeSH, UMLS and Khresmoi Project 6 datasets shows that the Proposed Enhanced Concept Based Approach is the best approach to be applied in addressing vocabulary mismatched issues as it managed to obtain best results in re-spect to maxSim scores and idf weighting values using the Text Similarity Scoring Function with maxSim scored 0.89 (89%) and idf weighting value of 3.61.The Proposed Enhanced Concept Based Approach outshines the existing ap-proaches: Concept Based Approach, Query Likelihood Model and Latent Semantic Indexing with scores ranging be-tween 11% to 15% in respect to maxSim scores and idf weighting values.This better results were obtained by the en-hance concept based approach due to the fact that, it ensures that all the medical terms contained in both the layman's queries and expert vocabularies are vocabulary matched and same.Hence we conclude that the Proposed Enhanced Con-cept Approach is best suited to be deployed in addressing the Vocabulary Mismatched issues encountered during query expansion.
Growth Strategy of PASECO as a Global Electronic Company: Focusing on the Middle East Market

Purpose - This study aims to analyze PASECO's environment and strategies during its advance into the Middle East to find out the success factors of the kerosene heater market and provide strategic implications for small and medium enterprises' growth based on these factors. Research design and methodology - This study analyzes the success factors of companies operating in the Middle East. As a case analysis study, the method of research analyzes case enterprises through existing literature, newspaper articles, and corporate interview materials. Results - PASECO's success was shown by its high technological power in kerosene heater products, understanding customers' needs, understanding the Middle East market and localization strategy. Conclusions - PASECO has been constantly developing R&D capability to secure competitive products and has released localized products to enhance the satisfaction of its customers in the Middle East and has also been successful by constantly creating new opportunities. The firm's success strategies provide implications for small and medium-sized businesses for greater growth.
Compression of Bayer Colour Filter Array Images

Bayer Colour Filter Array is a matrix of photosensors covered with red, green, and blue colour filters. This setup is advantageous in smartphones as only a third of the required data is captured by the sensor in the camera. The rest of the components based on the colour format can be interpolated using a suitable algorithm to arrive at a full-colour image. Increasing the resolution of the camera sensor will translate to increased bandwidth in the image signal processing pipeline, and consequently power consumption. In addition to that, the bit depth is also on the rise to enhance the colours. These two factors will create a huge impact on the data to be handled in the pertinent processor. Hence, compression of the Bayer data is of immense significance. The existing standard compression schemes can be adapted to suit the Bayer format. Also, several compression schemes, specific to Bayer format have been proposed. Two compression methods, viz. JPEG-LS and Hierarchical Prediction based compression have been tested and the corresponding results are presented in this paper. The former is a standard while the latter has been proposed keeping the Bayer format in mind. Modelling of the algorithms shows that JPEG-LS is best suited in the use cases where lossless compression is desirable, and Hierarchical Prediction based compression is the better option where some amount of loss is acceptable.
Subjective Dimension of Mental Health: Psychometric Properties of the Ukrainian Version of Orientation to Happiness Scale

According to Seligman's concept of authentic happiness, people tend to choose one of three different ways to be happy: through pleasure, through engagement, and through meaning.This paper addresses the development of Ukrainian adaptation of the 18-item three-dimensional Orientation to Happiness Scale (Peterson, Park, Seligman, 2005) and the examination of its psychometric properties.On the results of PCA (N = 468) a three-factor structure due to a theoretical framework was confirmed with Cronbach's alphas between .65 and .80.A satisfactory test-retest stability for each sub-scale in the 4-week period (N = 123) and the construct validity were revealed.During criterion-validity analysis statistically significant differences (p < .05) in orientations to happiness were shown for religious and non-religious people, reflecting the specificity of connections between happiness, faith, and religious behaviour.
Sound Environmental Development By Younger School Students As a Condition of Introduction to Culture

The article reveals the significance of the sound environment in the formation of the audio culture of a person; The author’s definitions of the terms “sound environment”, “personality culture” are given, the interdependence and interdependence of the sound environment and personality culture is revealed, the role of school disciplines in the development of the pupils’ sound space is indicated. The author presents the author’s program the formation of the audial culture of students in elementary school.&#x0D; Keywords: sound environment, audio culture, development of a sound environment, formation of audio culture, younger students.
ROLE PLAY AS A TECHNIQUE OF DEVELOPING LEARNERS' PROFESSIONALLY SIGNIFICANT COMPETENCES

The article addresses essential aspects of role play as a technique aimed at facilitating military students' professionally significant competences. The study undertaken here advocates the task-based language teaching as an integral part of the military students’ vocational training at the law faculty. Hence the goal of our study is to provide theoretical justification and methodological development of the concept of role play in foreign language teaching as a means of promoting second language learning and facilitating vocational training. We have analysed the impact of role play on the learner acquisition processes and forming of their professionally significant competences. We have identified stages and algorithms of role play, examined its components and characteristics in foreign language teaching. The conceptual framework of the study follows the model of professional competence approach. Research and experience data obtained in our experimental work make it possible to identify the significance of role play in second language learning designed for military students’ professional development in educational programs at law faculties.
Extracting Time-Aligned Topic Segments and Labels from the Speech Transcripts of Video Lectures

The advent of the internet opens the learners with a pool of resources online with all the information, knowledge and data they need for their study.Different platforms are existing where they can access video lectures for them to study in advance, to further their study or cope with their behind topics.However, with vast video lectures available online, students need to watch or check the whole video just for them to identify its relevance, if it fits what they need.Thus, taking much of their time during their gathering of possible and helpful video.This research develops a platform that utilized Natural Language Processing (NLP) and Artificial Intelligence that will analyze video lectures and generate a table of contents.The table of Contents generated to act as an aid to student learning by helping them navigate to the content of the video.It provides the list of topics discussed in the video and link to a specific time frame the topic was discussed.Thus, outcomes to a more convenient and efficient in reviewing the video content.
A New Approach to Quantum Gravity

In this paper, we introduce a different approach to the theory of gravitational field. This method can give the semiclassical graviton directly. We discuss the dynamics and quantization of graviton and obtain the field equation of graviton. Also we give proof to prove that the quantum field theory constructed in this paper is classically equivalent to the general theory of relativity. We obtain the Green’s function of the graviton by the field equation, and the difficulty of Feynman integral divergence can be solved by this method.
A Novel Category Group Index Mechanism for Efficient Ranked Search of Encrypted Cloud Data

Nowadays, searchable encryption technology has become the focus of research. Owing to the enormous growth in data storage capacity arising from individual users, business organizations, enterprises and government agencies, it will take these data owners a great deal of time to construct and update indexes in the field of encrypted search in untrusted cloud environment. This has become an urgent problem to be solved. In this paper, based on multiple keywords ranked search, a novel category group index mechanism is proposed. By classifying documents, we create group vectors in each index which can not only transform a high-dimensional secret key into several low-dimensional keys to accelerate the process of encrypting indexes but also improve the flexibility of adding, modifying or deleting documents. When updating indexes, only the group vectors corresponding to the changed category keyword sets need to be updated. During the retrieval process of the proposed mechanism, a novel “targeted search” method is designed. With this method, instead of calculating the whole products, cloud server only needs to calculate some inner products of group vectors corresponding to query keywords in the trapdoor and each index to improve the search speed and efficiency. Extensive theoretical analysis and experiment results demonstrate that the method is more feasible and more effective than the compared schemes.
Information exposure rating based on hierarchical model for big data

Big data improves the function of information, but also increases the exposure of information leakage. From the perspective of information leakage, Information entropy is used to quantify information, and the quantitative index of security exposure are identified as mutual information, and a hierarchical exposure assessment model is established. With the help of local priority principle, classify the types of information leaks and attack methods, the mutual information is determined as quantitative indicators for the exposure of information disclosure. The security exposure of information leakage is evaluated by fuzzy comprehensive evaluation
Cultural Interpretation: From Method to Methodology

The method of cultural interpretation is considered as a way to comprehend the processes of culture in their integrity and particular phenomena from the point of their inclusion in the general cultural context. The interpretation underlying the method is a complex procedure of interpretation and comprehension of reality. It is important in research and educational practices. As an alternative, a technique of segmental analysis of the visual image is proposed, which allows to solve general pedagogical tasks.&#x0D; Keywords: method of cultural interpretation, interpretation, segmental analysis technique, visual image, general pedagogical tasks
Formation of Readiness of Higher Education Institutions’ Students to the Introduction of Musical-Pedagogical Technologies

The model for the formation of the readiness of pre-service music teachers to the introduction of music-pedagogical technologies is developed, it includes elements: methodological-targeted; content-technological; productive-evaluative. The created model of the use of music-pedagogical technologies in lessons of musical art in secondary schools contains music perception, vocal-choral work, improvisation, playing on musical instruments, and musical-plastic activity.
An Improved Collaborative Filtering Algorithm to Improve Recommendation Accuracy and Protect User Privacy

The emergence of recommendation algorithm alleviates the problem of information overload to a certain extent, makes recommendations to users on the premise of protecting user privacy, and helps users to explore potential demands. An improved collaborative filtering algorithm is proposed for solving the problem that the relationship between recommendation time as well as accuracy cannot be weighed and how to protect user privacy. In this paper, the matrix dimension reduction technique of locally optimized singular value decomposition(SVD) and the K-means clustering technique are used to reduce the dimensions and cluster similar users in the user-item scoring matrix. The approximate difference matrix is used to represent the local structure of the scoring matrix to implement the local optimization. The locally optimized SVD technique can alleviate the problem of data sparsity and poor scalability in collaborative filtering by using fewer iterations. K-means clustering technique can greatly narrow the search range of neighbor sets and improve the recommendation speed. Therefore, collaborative filtering algorithms based on dimensionality reduction and clustering can generate recommendations in an accurate and real-time manner. The experimental results on the MovieLens dataset show that the algorithm can reduce the impact of data sparsity, protect user privacy and effectively improve the accuracy of recommendation.
Gauss–Hermite PHD Maneuvering Multi-target Tracking Algorithm

Considering the low accuracy, filter divergence, the loss of tracking targets and other problems of nonlinear multi-target tracking based on probability hypothesis density (PHD), a Gauss–Hermite PHD algorithm combined with interactive multiple models (IMM) is proposed. Cubature Kalman and Unscented Kalman approximate the Gaussian probability density function by sigma points, which overcomes the limitations of EKF in strong nonlinear systems, but the filtering accuracy can only reach the third order at most. On this basis, the motion pattern uncertainty in the target maneuvering system is solved by utilizing the interactive multiple models algorithm integrated into the Gauss–Hermite PHD filtering framework. The simulation results show that the proposed algorithm has higher precision and it decreases the loss of rate of target.
Verbal Aggressiveness and Hate Speech: New Considerations for Study Abroad Students

Escalating political and racial tensions across the U.S. have led to increased incidents of what communication scholars call verbal aggressiveness, including hate speech. Instances of verbal aggressiveness can occur anywhere, including university and workplace contexts. For Japanese university students preparing for study and/or internship opportunities abroad, this raises the question: To what extent are these learners being prepared for such instances? This article offers suggestions for addressing this topic with students who plan to study and/or work abroad in the future. First, the article offers suggestions for curricular content, specifically drawing on a well-known model for de-escalation and bystander intervention training that is used in the U.S. Second, the article explains how focused communicative tasks are ideal for teaching the specific content material. It is hoped that the article will open a dialogue regarding the extent to which verbal aggressiveness and hate speech should be addressed with students preparing to study in the U.S. アメリカ合衆国内での政治的、民族的緊張の高まりはヘイトスピーチを含む言語的攻撃による衝突を増加させている。例えば、言語的攻撃は大学や職場など、どのような場においても起こり得る。留学や海外インターンシップを控える日本人大学生が、このような場面に備えてどの程度まで対策ができるのか。この論文では、将来的に留学や海外インターンシップに臨む学生達が、言語的攻撃やヘイトスピーチに対処できるように提案をする。初めに、アメリカ合衆国で取り入れられている教育プログラムを紹介する。これは、学生達が問題に直目しても、感情的にならず、冷静に議論ができるようにするためのトレーニングである。その後、コミュニケーションの手法に重点を置く教材が、どれほど理想的であるかを説いていく。この論文が、アメリカ合衆国に飛び立つ学生達にとって、言語攻撃やヘイトスピーチに負けないための指南書になることを願う。
Pengaruh Motivasi dan Persepsi Biaya Pendidikan pada Minat Mahasiswa Mengikuti Pendidikan Magister Akuntansi

Master of Accounting is a secondary education in higher education to get a master's degree. The purpose of this study was to determine the effect of quality motivation, career motivation, economic motivation, and perceptions of education costs on the interest of students attending the Master of Accounting education. The population in this study were all accounting students at the Faculty of Economics and Businessclass of 2015 many as 298. The sampling technique used was purposive sampling method. The number of samples determined is 171 samples. Methods of collecting data using a questionnaire. The data analysis technique used is multiple linear regression analysis. The results of the analysis show that quality, career, and economic motivation have a positive effect on students' interest in taking part in the Accounting Master's education, while the perception of education costs has a negative effect on the interest of students attending the Master of Accounting.Keywords: Quality motivation, career motivation, economic motivation, perception of education costs, student interest.
SOCIO-PEDAGOGICAL ASPECT OF THE PROBLEM OF «SOUL ECOLOGY» OF CHILDREN AT RISK

The article is devoted to the search for ways of spiritual enrichment of the soul of children at risk. The authors actualize the problem of" impoverishment" of the soul and justify the socio-pedagogical conditions of its ecology. The purpose of the work was to study the problem of "soul ecology" and experimental study of value orientations of children at risk, filling both the external and internal world of the child. The paper used theoretical and empirical research methods. As the results of the study show, the most significant are material values. Therefore, it is important to create a system of spiritual and moral education of children at risk and teach them spiritual existence by gaining personal meaning in the social situation in which they find themselves.
Persepsi Mahasiswa Akuntansi Atas Perilaku Akuntan Publik Dipengaruhi oleh Pengetahuan, Sensitivitas Etis, Idealisme, dan Religiusitas

The purpose of this study was to determine the effect of knowledge, ethical sensitivity, idealism, and religiosity on the perceptions of accounting students on the ethical behavior of public accountants in students in the Faculty of Economics and Business at Udayana University. The sample used amounted to 60 people with multiple linear regression analysis techniques. The results show that knowledge has a positive and significant effect on the ethical perceptions of Udayana University accounting students for the ethical behavior of public accountants. Ethical sensitivity has a positive and significant effect on ethical perceptions of Udayana University accounting students for ethical behavior of public accountants. Idealism has a positive and significant effect on the ethical perception of Udayana University accounting students for ethical behavior of public accountants. Religiosity has a positive and significant effect on the ethical perception of Udayana University accounting students for ethical behavior of public accountants.&#x0D; Keywords : Knowledge; Ethical Sensitivity; Public Accounting; Idealism; Perception.
A SIMPLE METHOD FOR A PRECISE SOLUTION OF THE DIGITAL OPTIMAL CONTROLLERS DESIGN PROBLEM FOR SISO OBJECTS WITH DELAY

Models of aperiodic and integrator links with delay are traditional representations of controlled objects of various processes. In this case, the PID-family algorithms are traditionally used as control algorithms for which standard technical means have been developed. At the same time, the appearance of powerful miniature controllers with unified interfaces predicates the control quality improvement in the base of more advanced digital control systems usage. Such systems can be designed using the developed approach for the synthesis of optimal digital controllers with observers. Such an approach, in the traditional formulation, is impossible without the usage of specialized software which often substantially overload computer resources. At the same time, it is desirable to have a simple tuning method for customizing the controller at the control object, as well as for use in adaptive control systems. Obtaining such rules is described in this article. The theoretical result that follows from the obtained rules is that the parameters of the optimal state regulator do not depend on the delay and are determined solely by the object time constant and the selected sample period.