Reviewerly/exHarmony huggingface dataset:
Profession-oriented coaching in the army environment

The article is devoted to the problem of professional development and career development of officers of the armed forces, other troops and military formations. The relevance of this problem is due to the rapidly changing conditions of the military-pedagogical environment. At present traditional forms and methods of professional training cannot fully meet the demand of military personnel for the formation of self-development, self-actualization and self-realization skills. In this regard the author raises the question of the need to find new approaches and views on the process of improving professional training, the result of which should be the readiness of officers to build, design and develop a military career. The author suggests using coaching, the methodology of which is focused on the disclosure of professional and personal potential and the awakening of the activity of officers as promising forms and methods of military professional training. The concepts of «profession-oriented army coaching» and «army coach» are clarified. It is emphasized that the technology of coaching is new for the military sphere and requires substantial and technical adaptation to the army reality. In this work the author presents the concept of profession-oriented army coaching, taking into account the ideas of the acmeological approach, the military specifics and the architecture of the coaching process. The goals, objectives,principles, directions and conditions for the implementation of coaching in the army environment are defined. The author comes to the conclusion that in the army environment, the coaching and acmeological approaches have similar views, combining the search for ways to maximize self-expression in the military profession and the optimal ways to organize professional activity to achieve success in the future. The concept of profession-oriented army coaching proposed by the author reflects the requirements for finding new approaches to the process of improving the professional training of military personnel, imposed by the modern training and combat process of the armed forces. The practical implementation of this concept became development and introduction of «Profession-oriented army coaching» teaching guide to the learning process of military universities of the Republic of Kazakhstan. The author sees the prospect of further work in the use of profession-oriented army coaching in the troops in organizing classes for the professional development of personnel.
Implementasi Penerapan Metode Kerja Kelompok Dalam Meningkatkan Hasil Belajar Siswa Pada Mata Pelajaran IPS Di SD Inpres Kampus IKIP Kota Makassar

This study aims, namely, 1) to determine how the method of group work in social studies subjects at SD Inpres Kampus IKIP, 2) to determine whether the technique of group work affects improving student learning outcomes in social studies topics. The research was conducted using a quantitative statistical approach. The data collection techniques used were observation, questionnaires, interviews, and documentation. The data were analyzed using descriptive statistical analysis and quantitative statistical analysis. Based on the research results, it can be seen that 1) the application of group work methods in social studies subjects at SD Inpres Kampus IKIP Makassar city is in the "good" category with indicators of fostering interest and the ability to cooperate among students, increasing socio-emotional involvement of students and increasing attention on the process and results of the learning process, 2) the application of group work methods affects improving student learning outcomes in social studies subjects at SD Inpres IKIP Kampus, Makassar city.
PROBLEMS OF FORMATION OF READINESS OF THE SOCIAL TEACHER TO ANIMATION ACTIVITY

The article presents a theoretical analysis of the works of native, foreign, Russian scientists studying the concepts of social pedagogue, animation, animation activities, leisure, effective leisure organization, as well as ways of formation of readiness of social pedagogue to animation activities. The objects of work of a social teacher are not only students and parents, but also people of different ages, clubs, sections, groups and public associations. management of pedagogical systems, trainings, pedagogical and psychological diagnostics. Animation activity is a special organization-driven type of activity with the goal of socializing a human person. In this context, the educational potential of animation is predominant. Characteristic features, structure and content allow using it as a means of social education of students. Animation has potential as an instrument of social education.
Pythagorean Fuzzy Cognitive Maps in Making Optimal Decisions on Feasible Strategies for Inhibiting Electronic Waste

Electronic waste is an emerging cataclysm to the environment in recent times and the mounting industrial sectors are the constant contributors to it.Escalation of technology is being hailed but the environment impacts highly intrudes the resilience of the ecosystem.Refraining from technology is quite not possible in this digital epoch but reclamation of the milieu has high probability.Decision making on inhibiting electronic waste demands feasible strategies and it is the most challenging task for the industrial administrators.This paper proposes the new approach of Pythagorean fuzzy cognitive maps to find the viable strategies of electronic waste inhibition.The representation of the elements of the connection matrix as Pythagorean fuzzy sets is a distinctive feature of the research work.The strategies are subjected to the analysis of the experts to investigate their interrelational impacts.The resultant of the decision making model based on Pythagorean fuzzy cognitive maps is the score value of the strategies based on which they are ranked.This paper also presents the comparative analysis of Pythagorean fuzzy cognitive maps over fuzzy cognitive maps.
Pemberian Buku Cerita Bergambar Bertema "Superhero" dapat Meningkatkan Pengetahuan Sayur dan Buah Siswa Sekolah Dasar

The low consumption of vegetables and fruit in school-age children is one of the unresolved nutritional problems in Indonesia. A way to improve vegetable and fruit eating behavior is to increase students' knowledge and attitudes through illustrated story book and heroic tales. The aim of this study is to find out the impact of picture books on students' knowledge and attitude. This is a quasy experimental study with Non equivalent control group with a pre-test and post-test which was followed by 97 fourth gradeelementary school students including 41 students of intervention group and 56 students of control group. The mann-whitney test is used to see whether there are relationships between independent variable (given of illustrated story books) and the dependent variable (knowledge and attitude) between the intervention and control groups.The results showed a significant increase in knowledge and attitudes in the group which given illustrated story book. There were also significant differences in knowledge changes between the intervention and control groups. Illustrated story books can significantly increase students' knowledge about vegetables and fruitKeywords : Knowledge; Attitudes; Vegetable; Fruits; Illustrated Story Book
Analyzing language errors in mathematics Electronic School Book

This study aims to describe and categorize the types of language errors in the Class VII Mathematics Electronic School Book (BSE). The content analysis is a design chosen through a qualitative descriptive approach. The data source comes from BSE Mathematics Class VII. Data in the form of language errors related to speech errors, rules, and word choices in the Mathematics Electronic School Book. Data were collected using identification and categorization techniques in the corpus table. This study shows 43 language errors identified in BSE, consisting of 12 lapses, 21 errors, and ten mistakes. The results of this study become input for improving the use of language in electronic school books so that users can easily understand the meaning conveyed.
FPGA implementation of Lempel-Ziv data compression

When transmitting the data in digital communication, it is well desired that the transmitting data bits should be as minimal as possible, so many techniques are used to compress the data. In this paper, a Lempel-Ziv algorithm for data compression was implemented through VHDL coding. One of the most lossless data compression algorithms commonly used is Lempel-Ziv. The work in this paper is devoted to improve the compression rate, space-saving, and utilization of the Lempel-Ziv algorithm using a systolic array approach. The developed design is validated with VHDL simulations using Xilinx ISE 14.5 and synthesized on Virtex-6 FPGA chip. The results show that our design is efficient in providing high compression rates and space-saving percentage as well as improved utilization. The Throughput is increased by 50% and the design area is decreased by more than 23% with a high compression ratio compared to comparable previous designs.
MODELING OF PEDAGOGICAL CONDITIONS FOR THE FORMATION OF THE READINESS OF FUTURE OFFICERS OF THE INSTITUTIONS OF THE SECURITY AND DEFENSE SECTOR OF UKRAINE TO USE HAND-TO-HAND COMBAT TECHNIQUES AGAINST THE PREDOMINANT ENEMY

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PENGARUH TRANSFORMASI DATA PADA METODE LEARNING VECTOR QUANTIZATION TERHADAP AKURASI KLASIFIKASI DIAGNOSIS PENYAKIT JANTUNG

Learning Vector Quantization (LVQ) is a type of Artificial Neural Network with a supervised learning process based on competitive learning. Despite the absence of assumptions in LVQ is an advantage, it can be a problem when the predictor variables have big different ranges.This problems can be overcome by equalizing the range of all variables by data transformation so that all variables have relatively same effect. Heart Disease UCI dataset which used in this study is transformed by several transformation methods, such as minmax, decimal scaling, z-score, mean-MAD, sigmoid, and softmax. The result show that the six transformed data can provide better LVQ classification accuracy than the raw data which has 75.99% for training performance accuracy. LVQ classification accuracy with data transformation of minmax, decimal scaling, z-score, mean-MAD, sigmoid, and softmax are 89.16%, 88.22%, 89.7%, 90.1%, 88.17% and 92.18%. Based on the One-way ANOVA test and DMRT post hoc test known that there are significant differences between the results of the classification with data transformations and raw data in 0,05 significant level of α. It is also known that the best data transformation methods are softmax for training and sigmoid for testing. Keywords: heart disease, neural network, learning vector quantization, classification, data transformation
An efficient FPGA implementation of hand gestures recognition based on neural networks

Different gestures of hand which is a powerful communication channel between man to man and/or man to machine transfers a large amount of information in our daily lives. For example, sign languages are widely used by individuals with speech handicaps. Recognizing hand gestures in the image can be considered a powerful parameter in man-to-machine communication. Although researchers have been trying to implement different hand gestures on several hardware platforms over the past years, their attempts have been confronted by many challenges including restricted resources of hardware platforms, noise factors in the environment, or insufficient accuracy of output in high numbers of experimental samples. In this work, an optimum and parallelized method is developed to implement recognition of different hand gestures in the image on FPGA. The introduced method uses an MLP network with high numbers of hidden layers without wasting resources of the hardware platform. The results comparing the proposed optimized method with the state-of-the-art methods show that the suggested method can be implemented on an FPGA platform with high output accuracy and lower resources.
Research on in-service training for teachers as continuous learners (2): Content of and measures related to in-service training

This research was subsidized by the (B) Development of Active Learning Based Teacher Training Programs that Support Teachers as Continuous Learners (JP 16H03765) grant-in-aid for scientific research from JSPS.
Innovative teaching pedagogies, interculturality and transversal skills

In line with the previous three conferences (two were held at Shanghai Normal University in China in 2016 and 2017 and one at Utah Valley University in the United States in 2018), the overall objective of the 4th International Teaching Forum will be to address innovative pedagogical practices in higher education in different countries. Over two days, teachers and researchers together will work on issues related to the contributions and limits of innovative teaching practices, based on experiments conducted more particularly (but not exclusively) in the field of communication and management. For this edition, the theme of pedagogical innovation will be addressed from the perspective of interculturality and skills. Papers will discuss how teaching pedagogies have fostered the creation of a context favorable to interculturality and facilitated the acquisition of transversal skills.
Implementation of Experimental Text Writing Learning in Internet Networks during the Covid-19 Period: A Case Study in Class IX of SMP Negeri 1 Kedung

The purpose of this study is to describe: 1) planning for learning to write experimental texts through the internet during the COVID-19 period; 2) implementation of learning to write experimental texts through the internet; 3) obstacles in learning to write experimental texts through the internet; 4) solutions to overcome obstacles in learning to write experimental texts through the internet. This research is a qualitative research case study method with a qualitative descriptive approach. Sources of research data are: 1) informants include Indonesian language teachers and grade IX students; 2) documents include lesson plans, media, and learning materials. The sampling technique used the purposive sampling technique. Data collection techniques used are 1) interviews and 2) document analysis. The data analysis technique used is an interactive model. The results of this study were: 1) the planning of learning to write experimental texts through the internet network in class IX went well; 2) the implementation of learning to write experimental texts through the internet is well implemented; 3) The obstacles encountered are as follows: a) students are not used to or have not adapted to learning through the internet; b) the interest and motivation of students who are not used to doing learning through the internet are low; c) different levels of ability and interest among students; d) the teacher finds it difficult to give examples. 4) Solutions from the teacher are: a) the teacher motivates students to be active; b) the teacher gives continuous assignments; c) conduct two-way interaction; d) teachers collaborate with teaching materials with appropriate learning media. Furthermore, the solutions from the students are: a) students actively seek to ask questions and discuss; b) students try to adapt; c) students try to learn independently; d) students always try to learn the material given by the teacher.
The Role of Theory in L2 Empirical Research on Language Complexity, Accuracy and Fluency

This forum attempts to uncover the role played by theory in three empirical studies. To that end, in the sections that follow, I will begin with the review of literature on language complexity, accuracy, and fluency. Next, I will report on metric indices employed in the studies to measure the phenomenon of linguistic complexity and the results pertaining to grammatical and lexical complexity. Then I proceed with describing the status of theory in empirical research and the challenges research on CAF faces. The closing presents the discussion on how theory impacted the design of the empirical studies sampled for this paper.
Evaluation of the Interval between the Onset of Symptoms and Reperfusion Therapy in Patients with Acute Myocardial Infarction with Elevated ST Segment in Emergency Department Patients

Evaluation of the Interval between the Onset of Symptoms and Reperfusion Therapy in Patients with Acute Myocardial Infarction with Elevated ST Segment in Emergency Department Patients
Pengaruh Ketersediaan Jurnal Online Proquest Terhadap Pemenuhan Kebutuhan Informasi Pemustaka di Perpustakaan Universitas Negeri Padang

This study aims to determine how the influence of the availability of online proquest journals on meeting the information needs of users in the Padang State University Library.This research is a qualitative research with descriptive analysis method, a method that describes data to get conclusions in general.The data collection technique in this research is to use the interview method.The results of this study are the availability of online proquest journals in the UNP Library according to the library users' perception is good and the library users claim that they get advice from lecturers so that they look for sources of reference to make lecture assignments from these online proquest journals not from the library.Library users have used it well as a source of reference to assist in making college assignments.The influence of the Proquest Journal on the information that is needed by the user is quite influential in meeting the information needs because this journal provides an up-to-date and accurate source of information to be used as a reference in making college assignments and in completing research.
IDENTIFIKASI RISIKO SISTEM INFORMASI BP-REMUN UNIVERSITAS LAMPUNG MENGGUNAKAN METODE NIST SP 800-30

The implementation of remuneration information system make a various risks that can disturb of performance assessment and make a damage for the time or material for Remuneration Management Agency of Lampung University. This research intend to analyze the risk management of remuneration information system and to know the influence of factor the implementation system of risk management remuneration information to used NIST SP 800-30 method. This remuneration information system risk management held for anticipating the source of threat by the following step risk assesment, risk mitigation, and risk evaluation. The result of this risk management is, slow system performance, no features update data, human error, no synchronization with the staffing system, password, security server, differences in perception between verifiers, no notifications data which has not been verified, late data claim and invalid report. The from risk assesment for differences in perception between verifiers and late data claim is high risk, to reduce and eliminate the impact of risk Remuneration Management Agency of of Lampung University do risk mitigation with choose verifier who masters the lecturer performance and early warning system to remind lecturers who have not made claims. The factor that influencing remuneration information system Lampung University risk assesment is human resource that having and ability in information technology for convenience support to risk all risk in every circumstances.
Social Video Advertisement Replacement and its Evaluation in Convolutional Neural Networks

This paper introduces a method to use deep convolutional neural networks (CNNs) to automatically replace advertisement (AD) photo on social (or self-media) videos and provides the suitable evaluation method to compare different CNNs. An AD photo can replace a picture inside a video. However, if a human being occludes the replaced picture in the original video, the newly pasted AD photo will block the human occluded part. The deep learning algorithm is implemented to segment the human being from the video. The segmented human pixels are then pasted back to the occluded area, so that the AD photo replacement becomes natural and perfect appearance in the video. This process requires the predicted occlusion edge to be closed to the ground truth occlusion edge, so that the AD photo can be occluded naturally. Therefore, this research introduces a curve fitting method to measure the predicted occlusion edge’s error. By using this method, three CNN methods are applied and compared for the AD replacement. They are mask of regions convolutional neural network (Mask RCNN), a recurrent network for video object segmentation (ROVS) and DeeplabV3. The experimental results show the comparative segmentation accuracy of the different models and DeeplabV3 shows the best performance.
Analisis Review Penggunaan Sistem Informasi pada PT Pertamina

The information system is a means of transforming company data which is closely related to the efficiency of the company in its operational activities. Along with technological developments, the application of information technology in the company is an important factor in increasing the value and competitiveness of the company. So far, there are still many companies that have not implemented information systems as expected because there is no standard for supervising the use of information technology within the company. This research tries to find out how the information system implementation at PT Pertamina. The sample selection is because PT Pertamina is a state-owned company with large assets. Data analysis using qualitative analysis using a systematic review approach. The results of this study indicate that PT Pertamina has implemented an information system in the form of a management information system properly in the company as a way to achieve company goals so that efficiency and competitiveness of the company can be achieved.
Fenix: A Semantic Search Engine Based on an Ontology and a Model Trained with Machine Learning to Support Research

This paper presents the final results of the research project that aimed to build a Semantic Search Engine that uses an Ontology and a model trained with Machine Learning to support the semantic search of research projects of the System of Research from the University of Nariño. For the construction of FENIX, as this Engine is called, it was used a methodology that includes the stages: appropriation of knowledge, installation and configuration of tools, libraries and technologies, collection, extraction and preparation of research projects, design and development of the Semantic Search Engine. The main results of the work were three: a) the complete construction of the Ontology with classes, object properties (predicates), data properties (attributes) and individuals (instances) in Protegé, SPARQL queries with Apache Jena Fuseki and the respective coding with Owlready2 using Jupyter Notebook with Python within the virtual environment of anaconda; b) the successful training of the model for which Machine Learning algorithms and specifically Natural Language Processing algorithms were used such as: SpaCy, NLTK, Word2vec and Doc2vec, this was also done in Jupyter Notebook with Python within the virtual environment of anaconda and with Elasticsearch; and c) the creation of FENIX managing and unifying the queries for the Ontology and for the Machine Learning model. The tests showed that FENIX was successful in all the searches that were carried out because its results were satisfactory.