Reviewerly/exHarmony huggingface dataset:
Design of new anti-buckling fixture for cyclic tension-compression testing of sheet metal

The currently available anti-buckling fixtures for uniaxial tension-compression testing of sheet metal could not fulfill the requirements and standards. In this study, a unique system of the anti-buckling fixtures to enable getting accurate and repeatable isotropic and kinematic behavior of sheet metal was designed. The front surface of the specimen was fully supported during the initial position, tension, and compression and free from any buckling. Because using acrylic blocks, has a greater level of optical clarity, there was the possibility to measure the deformation on the front surface of the specimen using a digital image correlation system. The special pusher vice with compressed spring was attached to the fixture to avoid misalignment and calculating supplementary forces related to uniaxial direction. Furthermore, the new fixture was simple, flexible, and suitable for any universal testing machine.
Analysis Of Information Technology Risk Management In Raja Computer Balikpapan Branch Using ISO 31000 Framework

Raja Computer Balikpapan Branch is a store that is engaged in selling computers, the store already uses IS/IT in supporting every business activity it carries out. The store uses the Ipost application which is used to support computer sales, record stock of goods, and can be used to record daily contests needed by the store. However, in the world of management, there is always the possibility of risks that may occur and can interfere with business activities in using the system. Thus, an analysis is needed of the IS/IT resources contained in the computer shop. Therefore, it is hoped that using ISO 31000 can help minimize every risk contained in the Ipost application. The results of this risk analysis are in the form of an analysis of possible risks, can group possible risks based on applications that can generate offers and risks that exist in Ipost, so the computer shop can treat existing risks according to the priority level of risk and be able to prevent and minimize disrupting business activities at Raja Computer store Balikpapan branch.
Forewarn Traffic Signal with Ambulance Detection By GPS and Light Standard Signal Using Machine Learning

People's lives are enriched by human activity recognition (HAR), which extracts action-level details about human behaviour from raw input data. There are a variety of uses for Human Activity Recognition, including elderly surveillance systems, abnormal behaviour, and so forth. However, deep learning models such as Convolutional Neural Networks have outperformed traditional machine learning methods. As a result of CNN, it is possible to extract features and reduce computational costs. Transfer Learning, on the other hand, refers to the use of pre-trained machine learning models that can be used to detect human activity using a special type of Artificial Neural Network known as Leveraging CNN. Resnet-34 Use of a CNN model can provide detection accuracy up to 96.95 percent for human activity recognition Numerous studies and research have been conducted on HAR. There are only a few models in the majority of the paper, however What we know is that the more data we have, the better the model and the more accurate the model will be.
METHODS OF PEDAGOGICAL STIMULATION OF THE FUTURE TEACHER TO SELF-ASSESSMENT IN EDUCATIONAL ACTIVITY

During the research, based on a thorough study of various definitions related to the concept of "pedagogical stimulation", we have formed up the following definition: pedagogical stimulation is the purposeful use of didactic tools in the process of self-affirmation and activation of the intellectual and moral potential of the agent of learning process, taking into account his personality characteristics.Among the methods of pedagogical stimulation of the future teacher to self-assessment in edu- cational activity, we identified and characterized four key groups: the formation of cognitive interest and the development of a positive emotional attitude to self-assessment in educational activities; formation of the sense of duty and responsibility in teaching; to bolster the motivation influence in training group; to encourage students to overcome obstacles to learning.The students who have already experienced some difficulties in learning require the development of cognitive interest as well as of a positive emotional attitude towards the self-assessment in educational activities. Thus we consider the introduction of a comfortable moral and psychological atmosphere to be the essential condition for the method to be implemented. It is manifested in verbal encouragement when the students are performing their tasks and projects, in situations when a student has achieved positive results.The method of forming a sense of duty and responsibility in learning encourages students to be actively engaged in certain activities and at the same time it impedes their inappropriate actions. The content of the method is to focus on students’ individual rights as members of the team, future specialists, as well as on the moral assessment of their activities.The use of motivational influence of the educational group is a method of pedagogical stimulation, which integrates all other methods of stimulation and involves students in the development and presentation their socially and morally valuable requirements to each other, it encourages to setting and implementation of socially and personally significant perspectives and it influences the effectiveness of promotion and punishment .The incentive to overcome the barriers in learning is planned by the teacher and is based on the student's bias on priority, leadership, primacy, self-affirmation. Different forms of overcoming obstacles are implemented at higher educational establishments: competitions, festivals, projects, exhibitions, quizzes, etc. These kinds of competitions of contribute to the identification and development of interests, creative abilities of students, expansion of knowledge and outlook, activation of cognitive activity.
An Adaptive Collaborative Filtering Based Approach for Point-of-Interest Recommendations

LBSNs (Location-based Social Networks) provide abundant information for users to browse and explore the places where they are interested in, named POI (Point-of-Interest).However, such large amount of check-in records in LBSNs cause information overload problem and increase difficulty for users to find the really desire POIs.POI recommendation systems can be employed to solve this problem.Most traditional POI recommendation methods are CF (Collaborative Filtering) based and achieve recommendations for a particular user according to check-in records of his similar users.In this paper, we propose an adaptive CF based algorithm to achieve POI recommendations for users, considering their personalized activity regions.Compare with existing algorithm, our algorithm does not construct user-POI matrix by using the entire historical records.Instead, we first explore users' activity regions and construct more personalized user-POI matrix for each particular user according to corresponding activity regions.Besides, we propose a method to dynamically determine the number of similar users for a certain user, instead of using a fix number for all users, leading to more personalized recommendations.We have implemented our POI recommendation system and compared with state-of-theart methods by using Foursquare dataset.The experimental results show that our POI recommendation system achieves better performance than all these compared approaches.
Exploratory Study of Need Analysis for Literature Appreciation Text Books Based on The Meaning of Philosophy and The Value of Characteristics Education in Yogyakarta

This exploratory study aims to explain the state of the textbooks that have been used so far and to find out the need for literary appreciation textbooks that are suitable for use in the Elementary School Teacher Education Study Program (PGSD) in Daerah Istimewa Yogyakarta (DIY).The type of research used in this study is an exploratory study with a qualitative descriptive method.Data collection techniques through document analysis and interviews.The results of exploratory data analysis show that most of the literature appreciation reference books (texts) used in lectures do not contain philosophical meanings, especially those that highlight the works of Ki Hadjar Dewantara (KHD) as the Father of National Education.Both lecturers and students stated that they needed and were happy if there was a literary appreciation textbook in which it examined the philosophical meaning and value of character education from KHD works to support literary appreciation study.
The correlation of knowledge of prevention with neuropathy treatment in diabetes mellitus patients in Sukoharjo regency

Introduction: Acute and chronic complications can occur in diabetes mellitus with high blood glucose levels and tend to fluctuate. The most common chronic complication is diabetic neuropathy. Treatment of diabetic neuropathy that is not carried out can lead to diabetic foot ulcers and even amputation. The prevention of diabetic neuropathy can be done by improving patients' knowledge to ease neuropathy treatment; as a result, the disability can be avoided. This study aims to determine the relationship between knowledge about preventing and treating diabetic neuropathy in people with diabetes mellitus in Sukoharjo.Methods: This type of research is descriptive with a correlation design using a cross-sectional approach. The population used in this study was all people with diabetes mellitus, who collected 17,403 patients. The sample used was 120 respondents who were selected by purposive sampling. The research instrument used a knowledge questionnaire. To analyze the data, used Spearman Rank correlation test.Results: The sample in this study was 120 respondents obtained by the purposive sampling technique. The sample used as research respondents are people with diabetes mellitus who have met the research criteria. This study uses an instrument in the form of google form with data analysis using the Spearman rank test. The results showed the respondents' knowledge level was excellent, as many as 76.7% of 120 respondents and the treatment of diabetic neuropathy was good as many as 65% of 120 respondents. Spearman Rank test results showed an r count of 0.439 and a p-value of 0.001 (&lt;0.05).Conclusion: Based on the research that has been done, it can be concluded that knowledge about the prevention of neuropathy in patients with diabetes mellitus in Sukoharjo Regency is mostly very good, the management of neuropathy in patients with diabetes mellitus in Sukoharjo Regency is mostly good. There is a significant relationship between knowledge about the prevention and treatment of diabetic neuropathy in people with diabetes mellitus in the Sukoharjo Regency.
HDL Design and Implementation of a Convolutional Neural Network for Efficient FPGA/Hardware Platforms

Neural networks are a set of algorithms modeled on the human brain, primarily for pattern recognition which has a special category called convolutional neural networks. Convolutional neural networks also called as ConvNets or CNNs which is the most important tool for the machine learning practitioners today. CNN has proved that its works effectively in various areas such as recognition of image and classification. This CNNs also have been proved successful in identifying objects and faces and identifying traffic lights apart from powering vision in robots and self-driving cars. Among these layers hidden layer plays an important role which inturn consists of convolution, Activation Filter (ReLU) and pooling. Any CNN which is used in identifying image or classifying an object etc., must contain these blocks to work efficiently for classification of the higher representation of the image content. The primary contribution of this work is a step towards assisting an introductory designer targeting to design and implement a basic CNN in FPGA and detailed design procedure and steps are outlined in the paper. Basic CNN by taking 5*5 input feature is designed in Xilinx Vivado and parameters such as area, delay and speed are compared.
Educational model based on Tele Education in times of pandemic in a Peruvian Educational Institution

Covid -19 according to the World Health Organization is a disease caused by SARS-CoV-2, for which it declared a global pandemic on March 11, 2020, because of this, in Peru a state of emergency was decreed. emergency proclaimed by the country's government through Supreme Decree No. 044-2020 and prolonged by Supreme Decree No. 116-2020-PCM, primarily limiting the right to free transit and access to public places, harming the continuity of academic training in all the educational institutions of the country. The objective of this research was to analyze the influence of the implementation of an educational model based on tele-education in the teaching-learning process in a Secondary Educational Institution. The study was preexperimental, pre and post tests were carried out on the observation units, using observation techniques, documentary analysis and surveys, whose reliability of the latter was greater than 0.8 and were also validated by expert judgment. The da ta collection took place in two periods of time, before the implementation from August 17 to September 11 and then from September 21 to October 16, 2020, then the average of both tests and the standard deviation of the pre-test using Microsoft Excel 2019 of each of the dimensions, with these data the Z test wa s applied to a sample for each dimension in order to test the genera l hypothesis; the results obtained showed that the implementation of the educational model based on tele-education positively influenced the teaching-learning process in the SecondaryEducational Institution.
Perancangan sistem informasi akuntansi penyaluran BSU di PT Bank Tabungan Negara menggunakan Micrsoft Visual Studio 2010

BSU is assistance given to workers or laborers during the COVID-19 pandemic. The purpose of this study was to find out the information system for channeling BSU funds at PT. State Savings Bank to BSU beneficiary customers. Information is collected using qualitative methods with a descriptive approach by means of observation and literature study. The results of research that has been done by the author at the PT. State Savings Bank (BTN) Bandung Branch With the BSU distribution accounting information system, it can be easier for officers to input, process, generate data, and check the accuracy of customer data for those who receive Wage Subsidy Assistance (BSU). At the time of data input, the officer has successfully entered data into the system, which can be processed for data checking and then processed for the storage process. The output of this system is that it displays customer data that receives wage subsidy assistance, which is then sent to customer service so that customer service no longer manually checks customer data. In addition, this BSU distribution information system has become more integrated into improving the quality of the bank.
Aplikasi Pengenalan Pola Penyakit Kulit Menggunakan Algoritma Linear Discriminant Analysis

Sometimes, someone underestimates to check up skin disease unless the disease has affected his face or body in severe condition. The checkup fees for skin diseases are relatively expensive because they require a specialist. While the reach of society, in general, is the lower community. The purpose of this study is to bridge the gap between the patient and the examination of the disease based on the patient's skin image. The methods used in feature extraction and classification are Linear Discriminant Analysis LDA and Euclidean Distance respectively. LDA performs image feature extraction through a matrix operation process and distinguishing features in the same class and different classes. Classification will give the output of disease: abscess, eczema, ringworm, and urticaria. The accuracy results obtained are 80%. The next research is on adding features in the form of skin color so that it can be an input feature in the image as well as to improve its performance in the future. This application can be an alternative initial checkup for patients. It will detect the type of skin disease be suffered before consulting an expert.
Short Answers Assessment Approach based on Semantic Network

Finding similarities in texts is important in many areas such as information retrieval, automated article scoring, and short answer categorization. Evaluating short answers is not an easy task due to differences in natural language. Methods for calculating the similarity between texts depend on semantic or grammatical aspects. This paper discusses a method for evaluating short answers using semantic networks to represent the typical (correct) answer and students' answers. The semantic network of nodes and relationships represents the text (answers). Moreover, grammatical aspects are found by measuring the similarity of parts of speech between the answers. In addition, finding hierarchical relationships between nodes in networks. The similarity is then calculated, and students' answers are evaluated. The best results are for weights (α = 0.1, = 0.6, γ = 0.3) = 1.82 from 5, giving more weight in nodes similarity by 6, least similarity by relationships by 3, and least similarity by parts of speech by 1.
Use of Information and Communication Technologies among Farming Community of Khyber Pakhtunkhwa

I n Pakistan, many farmers are illiterate, socially ex- cluded and unaware of the latest developments in the agricultural sector.It is not that they are resistant to technology; the fact is that new technologies and necessary support systems were rarely provided to them.Their poverty has led them to various forms of Abstract | Through the utilization of Information and Communication Technologies (ICTs) tools, farmers can get timely, up-to-date, relevant, accurate technical information and advice and extension agents can effectively answer farmers' abundant information needs.Thus, the present study was conducted to investigate the usage of ICT tools in agricultural extension services in Khyber Pakhtunkhwa.For the study three districts (i.e.Swat, Haripur and Mardan) of Khyber Pakhtunkhwa were chosen and a total sample size of 400 respondents was selected.Data were collected through pre-tested and validated interview schedule and analyzed using Statistical Package for Social Sciences (SPSS).The findings of the study showed that the maximum of the respondents (34.5%) were in the age category of 36 to 45 years whereas, 25.8% of the respondents were illiterate.About 64.5% of the sampled respondents were owner cultivators and almost 40% of the sampled respondents have farming experience of 21 to 30 years.More than half of the respondents (55%) owned mobile, 22.5% of the respondents owned telephone, 52.8% of the respondents owned television and 9.8% of the sampled respondents owned radio in the study area.About, 49.8% respondents were uncertain about the favorable effects of ICTs on production while 14.2% of the respondents agreed about favorable effects of ICTs on production.Krushkal Wallis analysis showed that there was highly significant difference in respondents' perception about the effect of mobile, telephone, television and radio on production.The study suggested that extension agents are required to create awareness of the use of ICTs among the farming communities.Department of agriculture extension needs to establish an ICT based program so that innovative agricultural information might be communicated to the farming community.
PENGARUH MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING (CTL) BERBANTUAN MEDIA POP UP BOOK TERHADAP KECERDASAN LINGUISTIK

This study aims to determine the effect of thelearning model Contextual Teaching and Learning (CTL) assisted bymedia pop up book on linguistic intelligence in fourth grade students at SDN Ngargogondo, Borobudur District, Magelang Regency. This study uses an experimental research type with aresearch design pre-experimental Design with the "One Groups Pretest-Posttest Designmodel". The research subjects were 14 fourth grade students at SDN Ngargogondo consisting of 7 male students and 7 female students. Methods of data collection using a questionnaire. The instrument validity test used theformula product moment while the reliability test used theformula Cronbach's Alpha. The data prerequisite test used the normality test, while the hypothesis test used the Paired Sample t-test test with the help of the IBM SPSS version 26.00 for windows program. The results showed that the calculation of the averagequestionnaire score posttest was 83.07 which was greater than the test results in the pretest with an average value of 77.29. Based on the results of the hypothesis test showing 0.004, it can be concluded thatHo is rejected, so it can be said that there is an influence from thelearning model Contextual Teaching and Learning (CTL) assisted bymedia pop up book on linguistic intelligence in fourth grade students at SDN Ngargogondo.&#x0D;
Geomorphological and Drainage Morphometrical Relationship of Gem Potential Alluvial Deposits in Upper Kalu Ganga Basin, Sri Lanka: A Remote Sensing and GIS Based Approach

Journal of the Geological Society of Sri Lanka is a peer-reviewed and open access journal published by the Geological Society of Sri Lanka. It aims to publish the most topical and highest quality papers, summarizing the results of recent research across all sub-disciplines of the Earth Science. Papers are frequently interdisciplinary covering both pure and applied fields of Geology. Contributions often refer to local, regional and/or international studies and emphasize the development of the understanding of fundamental geological processes.
Minat Baca Praja Terhadap Buku Novel Di Perpustakaan IPDN Kampus Nusa Tenggara Barat

Reading interest can be seen from the level of wearability of the collection. For this reason, it is necessary toresearch how frequency the library collections use. The purpose of this study is to find out the student's readinginterest in novel books related to the use of novel collections at the Library Unit of IPDN NTB Campus, fromJuly 2019 to December 2020. In this study, the researcher used a descriptive method, namely by describingaccurate data regarding the facts, the nature of the relationship between the phenomena under study. The resultsof this study indicate that the number of novel collections are 61 titles with 326 copies. The number of usabilityof the novel collections in the IPDN Library of the NTB Campus from July to December 2019 reached 384 books(117.79%). While the usability of the novel collection from January to December 2020 are 97 books (29.75%).There was a decrease in the usability of novel books reaching 287 books (88.04%). Minister of Home AffairsRegulation number 21 of 2020 concerning Large-Scale Social Restrictions (PSBB) triggered a drastic decreasein the use of novel book collections at the IPDN Library, NTB Campus.