Reviewerly/exHarmony huggingface dataset:
The Effect of Beliefs About Learning English, Self Regulation, And Self Esteem Toward High School Students’ Writing Achievement:

The purpose of the study is to find out the effect of beliefs about learning English, self regulation, and self esteem toward the achievement of writing for senior high school’s students. The sample was taken by  using simple random sampling method. The study was conducted by giving out three questionares for the independent variables and by taking writing scores through writing rubric for the dependent variable. These research instruments were validated through expert’s and panelist’s judgement. Then, empirically, these instruments were tried out to 200 senior high school students grade XI. Afterwards, 225 different students answered the final version of the quetionares. The data were collected and calculated using path anlysis to test six hipotheses. The analysis was also carried out by using Lisrel 8.80 programme. The result of the study show: 1) Writing achievement was directly and positively effected by beliefs about learning English, self regulation, and self esteem, 2) Self esteem was directly and positively effected by both beliefs about learning English and self regulation, and 3) Self regulation was directly and positively effected by beliefs about learning English.
The Effect of Career Path Planning on Organizational Performance

Researchers consider career path planning an important subject. It has attracted the attention of human resource managers in specific and organisational administrations in general, because of its effective role in developing and managing occupations, and its positive direct impact on the organisational performance when employed effectively. The study attempted to recognise the effect of career path planning on organisational performance of Jordan pharmaceutical companies. The researchers employed a descriptive analytical methodology to gather and analyse data. The population of the study included all Jordan pharmaceutical companies (No. 15). The researchers applied a random sampling method in selecting four companies for studying. Employees in the four companies holding supervisory positions participated in the study. The career path planning had affected organisational performance in the pharmaceutical companies. The researchers recommend Jordan pharmaceutical companies to adopt the culture of career path planning and recommend other researchers to increase academic research on it.
Practical Semi-Device-Independent Quantum random number generators

We describe a series of works where different Semi-DI protocols for Quantum Random Number generation are proposed and experimentally realized using photonic systems. These protocols exploit both discrete and continuous variables to generate private randomness.
DESIGN OF SMART SCHOOL BUS TRACKING USING ANDROID (Case Study in Bandung City)

A proposed smart school bus tracking is an easy-to-use software, including web-basedprograms and mobile applications, which primarily gives parents, students, and schoolservice companies the ability to track their school official vehicle location accurately. Asmart school bus of service information system is inevitable in the context of smart cityfeatures. The mobile app makes it more elegant for kids/students using their school services;parents can also easily track their kids' bus. Also, bus service companies can easily enrollnew students and determine school bus routes dynamically. This system provides scalability,flexibility, low cost, security, and reliability. All shared location information and personaluser data are stored encrypted; parents can only receive information about their associatedbus. This system is based on web and mobile platforms and is implemented as an interactiveapplication.
MECHANISM OF MOTIVATING PERSONNEL INTELLECTUAL ACTIVITY IN THE CONTEXT OF DIGITAL TRANSFORMATIONS

The article is aimed at improving conceptual, theoretical, methodological and applied aspects of forming the mechanism for personnel intellectual activity motivation in the context of digital transformations. The relevance of the study is confirmed by the dominance of the intellectual factor in functioning of universities' as a key one in achieving the goals of activities in the prism of digitalization. The article further developed the conceptual and categorical apparatus for the problematic of motivating personnel's intellectual activity. The importance of “intellectualizing” trends in the modern conditions of social development is determined. The fundamental principles of intellectual growth are revealed. The classification aspects of the motives that induce the employee to intellectual and innovative activities are expanded. The classification structure of motives are highlighted, which is represented by the following groups: psychological and cognitive; cognitive-intellectual; emotional and motivational; material and value; social and communicative. The conceptual provisions for the process of forming a mechanism for motivating personnel intellectual activity have been formed. A model for motivating the intellectual activity of personnel based on B. Skinner's motivational theory of reinforcement is proposed. Methodological support for creating a mechanism motivating personnel intellectual activity as a target function of management in the context of digital transformations has been developed. An algorithm for the formation of a mechanism for motivating the intellectual activity of personnel has been formed, including a set of stages with a description of the constituent elements and the processes of their implementation. The tools of the mechanism of motivating the intellectual activity of personnel, used in the management practice of a particular university, are characterized. The obtained effects from the introduction of tools for the mechanism of motivating the intellectual activity of the university staff in the form of certain motives are highlighted. This article is of particular value for the top management of universities, which need to manage the intellectual activity of staff, as well as motivate research and teaching staff in the context of global digital transformations.
Comments on “TLPCM: Transfer Learning Possibilistic C-Means”: Errata and Observations

The purpose of this article is twofold. First, and foremost, it fixes an error that somehow made it through all the reviewing, both by the authors and the referees. Second, it provides insights into the meaning and variation of the main PCM parameters in this approach to transfer clustering.
DeepSumm: A Novel Deep Learning-Based Multi-Lingual Multi-Documents Summarization System

With the increasing amount of accessible textual information via the internet, it seems necessary to have a summarization system that can generate a summary of information for user demands. Since a long time ago, summarization has been considered by natural language processing researchers. Today, with improvement in processing power and the development of computational tools, efforts to improve the performance of the summarization system is continued, especially with utilizing more powerful learning algorithms such as deep learning method. In this paper, a novel multi-lingual multi-document summarization system is proposed that works based on deep learning techniques, and it is amongst the first Persian summarization system by use of deep learning. The proposed system ranks the sentences based on some predefined features and by using a deep artificial neural network. A comprehensive study about the effect of different features was also done to achieve the best possible features combination. The performance of the proposed system is evaluated on the standard baseline datasets in Persian and English. The result of evaluations demonstrates the effectiveness and success of the proposed summarization system in both languages. It can be said that the proposed method has achieve the state of the art performance in Persian and English.
Проблемы и перспективы формирования электронного пространства знаний

The Review on the monograph by T. V. Maistrovich «The role of research electronic libraries in expanding the knowledge space»
Implementation of BI-RADS Classification and Priority Prediction for Mammogram Pre-screening based on Multi-decision Framework

Mammography is the general way for breast cancer screening worldwide. However, the amount of Negative breast cases is always more than that of Positive ones. It results in radiologists spend much time on the Negative mammograms in the earlier period of screening. This paper introduces a method to assess the risk of breast lesions by two-category BI-RADS. Meanwhile, this method finds out the Positive cases before the Negative ones. First, the detection module finds breast lesions and generates confidence scores to quantify the severity of malignant lesions. Subsequently, the analytics module performs a two-category BI-RADS classifier and then predicts the priority of the mammogram pre-screening based on the multi-decision framework. The experiment results demonstrate that the proposed method achieves higher accuracy of 76% than the compared approaches in two-category BI-RADS classification, and advances the mammogram pre-screening by the 15% number of breast cases at least.
КУЛЬТУРА РЕАЛЬНОЇ ВІРТУАЛЬНОСТІ В ДИСТАНЦІЙНОМУ НАВЧАННІ МАЙБУТНІХ УЧИТЕЛІВ МУЗИЧНОГО МИСТЕЦТВА

The article analyzes the existence of virtual reality in distance learning, taking into account the rapid development of scientific and technological progress, where there is an increase in the amount of information, modernization of science, a change in scientific and social theories, and the rapid leveling of knowledge. The values of modern changes in the sphere of culture associated with the development and spread of virtual reality are determined. It is noticed that the technology of distance activities, based on the culture of virtual reality, makes it possible for a future teacher of musical art to create their own creative products, to receive not only practically significant developments, but also to master methods of activity that can subsequently be used in future professional activities. The proposed activities can be successfully applied in the formation of a culture of virtual reality in distance learning for a future teacher of musical art.The technology of remote events based on the culture of virtual reality allows future music teachers to create their own creative products, receive not only practically significant developments but also to master the methods of activity, which can later be applied independently. The article proposes measures that deserve attention and can be successfully applied in music education.It is impossible to ignore the performance of independent work by a future music teacher in the conditions of distance learning, which requires: providing him with access to the network of electronic information and educational resources of the institution in which he receives educational services; specially equipped premises, which are replaced by virtual analogues, which allows students to master the skills and abilities provided for future professional activities.The existence of a culture of virtual reality, in the distance learning of future music teachers, is real and promising under a number of conditions: with a minimum technical base, the availability of computer equipment, the Internet the necessary support; at competently and adequately developed educational materials taking into account specificity of distance learning; when integrating the efforts of specialists; development of programs of educational disciplines with the available content of education on the basis of virtual reality.These conditions are effective in teaching future teachers of music and provide for the development of their individuality by creating their own interpretation of musical works and mastering the treasury of world culture.
U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods

It is widely recognized that the policy objectives of fiscal and monetary policymakers usually have different time horizons, and this feature may not be captured by traditional econometric techniques. In this paper, we first decompose U.S macroeconomic data using a time-frequency domain technique, namely discrete wavelet analysis. We then model the behavior of the U.S. economy over each wavelet frequency range and use our estimated parameters to construct a tracking model. To illustrate the usefulness of this approach, we simulate jointly optimal fiscal and monetary policy with different short-term targets: an inflation target, a money growth target, an interest rate target, and a real exchange rate target. The results determine the reaction in fiscal and monetary policy that is required to achieve an inflation target in a low inflation environment, and when both fiscal and monetary policy are concerned with meeting certain economic growth objectives. The combination of wavelet decomposition in an optimal control framework can also provide a new approach to macroeconomic forecasting.
Blockchain Technology as a Health and Safety Contributor in the Transport and Logistics Industry – Human Resource Requirements

Adaptation of blockchain technology in the Transport and Logistics industry may provide for not only increased transparency, trust and efficiency but also improved safety by minimising mis-declaration of cargo. There are currently a number of operators in the industry developing applications based on blockchain with may others planning to utilise the approach. As organisations commit to blockchain based projects, there will be an increased demand for blockchain developers, and associated job roles, and this paper considers the skills and knowledge requirements for those in these roles and provides a basis for determining the competence required for blockchain development.
(Updated submission 11/20/2020) MISIM: A Novel Code Similarity System

Semantic code similarity systems are integral to a range of applications from code recommendation to automated software defect correction. Yet, these systems still lack the maturity in accuracy for general and reliable wide-scale usage. To help address this, we present Machine Inferred Code Similarity (MISIM), a novel end-to-end code similarity system that consists of two core components. First, MISIM uses a novel context-aware semantic structure (CASS), which is designed to aid in lifting semantic meaning from code syntax. We compare CASS with the abstract syntax tree (AST) and show CASS is more accurate than AST by up to 1.67x. Second, MISIM provides a neural-based code similarity scoring algorithm, which can be implemented with various neural network architectures with learned parameters. We compare MISIM to four state-of-the-art systems: (i) Aroma, (ii) code2seq, (iii) code2vec, and (iv) Neural Code Comprehension. In our experimental evaluation across 328,155 programs (over 18 million lines of code), MISIM has 1.5x to 43.4x better accuracy across all four systems.
Penerapan Metode MABAC Pada Penerimaan Ahli Kesehatan dan Keselamatan Kerja (K3)

PT. Universal Gloves, a company engaged in the production of gloves, certainly requires occupational Health and Safety (K3) experts. Occupational health and safety (K3) experts must master their own field in the field of occupational health and safety (K3), therefore at PT. Universal Gloves requires an accurate selection process to accept occupational health and safety (K3) experts. Getting the results of the decision in the selection of occupational health and safety (K3) experts at PT. Universal Gloves is not easy because you have to choose occupational health and safety (K3) experts who really comply with PT. Universal Gloves, which have requirements based on predetermined criteria. Occupational Health and Safety (K3) is a field related to the health, safety and welfare of people who work in a company, among others, companies engaged in production. The purpose of occupational health and safety (K3) is to maintain the health and safety of the work environment. Occupational health and safety also protects co-workers, workers' families, consumers, and others who may also be affected by working conditions. To facilitate the leadership of PT. Universal Gloves make decisions in the selection process for the acceptance of occupational health and safety (K3) experts, a decision support system is needed for the admission of occupational health and safety (K3) experts at PT. Universal Gloves so as to provide accurate decision results in the acceptance of Occupational Health and Safety (K3) Experts at PT. Universal Gloves
Analysis of Interpolation-Based Image In-Painting Approaches

Interpolation and internal painting are among the basic approaches in image internal painting, which is used to eliminate undesirable parts that occur in digital images or to enhance faulty parts. This study was designed to compare the interpolation algorithms used in image in-painting in the literature. Errors and noise generated on the colour and greyscale formats of some of the commonly used standard images in the literature were corrected by using cubic, Kriging, radial-based function (RBF), and high-dimensional model representation approaches, and the results were compared using standard image comparison criteria, namely, PSNR (peak signal-to-noise ratio), SSIM (Structural SIMilarity), and mean square error (MSE). According to the results obtained from the study, absolute superiority of the methods against each other was not observed. However, Kriging and RBF interpolation give better results for both numerical data and visual evaluation for image in-painting problems with large area losses.
Welcome and Introduction to SPIE Conference 11597

Welcome and Introduction to SPIE Medical Imaging conference 11597: Computer-Aided Diagnosis
New tutoring app helps high school and college students struggling during pandemic

It could be a resource valuable to kids during the pandemic and the tutoring app is surprisingly affordable.
HYPER HEURISTIC EVOLUTIONARY APPROACH FOR CONSTRUCTING DECISION TREE CLASSIFIERS

Decision tree models have earned a special status in predictive modeling since these are considered comprehensible for human analysis and insight. Classification and Regression Tree (CART) algorithm is one of the renowned decision tree induction algorithms to address the classification as well as regression problems. Finding optimal values for the hyper parameters of a decision tree construction algorithm is a challenging issue. While making an effective decision tree classifier with high accuracy and comprehensibility, we need to address the question of setting optimal values for its hyper parameters like the maximum size of the tree, the minimum number of instances required in a node for inducing a split, node splitting criterion and the amount of pruning. The hyper parameter setting influences the performance of the decision tree model. As researchers, we know that no single setting of hyper parameters works equally well for different datasets. A particular setting that gives an optimal decision tree for one dataset may produce a sub-optimal decision tree model for another dataset. In this paper, we present a hyper heuristic approach for tuning the hyper parameters of Recursive and Partition Trees (rpart), which is a typical implementation of CART in statistical and data analytics package R. We employ an evolutionary algorithm as hyper heuristic for tuning the hyper parameters of the decision tree classifier. The approach is named as Hyper heuristic Evolutionary Approach with Recursive and Partition Trees (HEARpart). The proposed approach is validated on 30 datasets. It is statistically proved that HEARpart performs significantly better than WEKAâ€™s J48 algorithm in terms of error rate, F-measure, and tree size. Further, the suggested hyper heuristic algorithm constructs significantly comprehensible models as compared to WEKAâ€™s J48, CART and other similar decision tree construction strategies. The results show that the accuracy achieved by the hyper heuristic approach is slightly less as compared to the other comparative approaches.
ANALISA DAN PERANCANGAN SISTEM INFORMASI PERIKANAN TANGKAP DI KABUPATEN LINGGA

Most of the people in Lingga are dependent on the fisheries sector, mainly capture fisheries. However, the Capture Fisheries Sector at the Lingga Fisheries Service experienced problems in the process of archiving data generated by fishermen. The data collection process that has been running so far is still using a conventional system, which is to manually record data according to reports from officers in the field, then do a recapitulation and save it into a file with Excel format. Therefore, there is a need for a computerized information system that can process data quickly and accurately. So that it can display data in realtime
Confluence in non-left-linear higher-order theories

We develop techniques based on van Oostrom's decreasing diagrams that reduce confluence proofs to the checking of critical pairs for higher-order rewrite rules extending betareduction on pure lambda-terms. We show that confluence is preserved for a large subset of terms that contains all pure lambda terms. Our results are applied to famous Klop's examples of non-confluent behaviours in lambda-calculi with convergent rewrite rules, on the one hand, and to fragments of an encoding in a dependent type theory augmented with rewrite rules of the Calculus of Constructions with polymorphic universes. on the other hand.
Youth Health Smartphone Application "TEENFIT" in Increasing Adolescent Knowledge about Anemia, in Bantul, Yogyakarta

Background: The prevalence of anemia in women of reproductive age (15 – 49 years) has increased every year. Lack of knowledge of adolescents about anemia is a major problem of non-adherence to taking iron supplements. Cellular technology-based knowledge enhancement intervention is the “TEENFIT” application. Researchers designed this health smartphone application containing material on anemia, knowledge, attitudes, and behavior of drinking iron supplements, an alarm that serves as a reminder to take iron supplements, a report that contains reports on all activities of adolescents taking iron supplements. This study aimed to examine the the use of youth health smartphone application “TEENFIT” in increasing adolescent knowledge about anemia, in Bantul, Yogyakarta. Subjects and Method: A randomized control trial conducted in Bantul, Yogyakarta, from June to August 2020. A sample of 95 adolescents was randomized into two groups: (1) Experiment group that used the youth health smartphone application “TEENFIT, and (2) Control group that received no intervention. The dependent variable was knowledge about anemia. The independent variable was youth health smartphone application “TEENFIT”. The data were collected using questionnaire. The data were analyzed by independent t-test. Results: After the intervention, knowledge about anemia in the experimental group (Mean= 77.31; SD= 6.60) was higher than the control group (Mean= 67.55; SD= 5.60), and it was statistically insignificant (p= 0.266). Conclusion: Knowledge about anemia in adolescents increases with the using of youth health smartphone application “TEENFIT”, but it is not statistically significant. Keywords: health application, knowledge, anemia, adolescents Correspondence: Tuti Rohani. Master in Development and Community Empowerment, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: tuti.rohani80@gamil.com. Mobile: +62818460097. DOI: https://doi.org/10.26911/the7thicph.02.38