Reviewerly/exHarmony huggingface dataset:
Design and Implementation of a Credible Blockchain-based E-health Records Platform

With the development of information and network technologies, Electronic Health Records (EHRs) management system has gained wide spread application in managing medical records. One of the major challenges of EHRs is the independent nature of medical institutions. This non-collaborative nature puts a significant barrier between patients, doctors, medical researchers and medical data. Moreover, unlike the unique and strong anti-tampering nature of traditional paper-based records, electronic health records stored in centralization database are vulnerable to risks from network attacks, forgery and tampering. In view of the data sharing difficulties and information security problems commonly found in existing EHRs, this dissertation designs and develops a credible Blockchain-based electronic health records (CB-EHRs) management system. To improve security, the proposed system combines digital signature (using MD5 and RSA) with Role-Based AccessControl (RBAC). The advantages of these are strong anti-tampering, high stability, high security, low cost, and easy implementation. To test the efficacy of the system, implementation was done using Java web programming technology. Tests were carried out to determine the efficiency of the Delegated Byzantine Fault Tolerance (dBFT) consensus algorithm, functionality of the RBAC mechanism and the various system modules. Results obtained show that the system can manage and share EHRs safely and effectively. The expectation of the author is that the output of this research would foster the development and adaptation of EHRs management system.
Restriction Algorithm for Duplicate Posts on Online Social Networks: Facebook

Duplicate content or writing on online social networks is a material that shows up in many more than one location on Online Social Site, Pages etc. Nowadays Facebook is an online social networking site that connects people together during the form of expressing personal preferences and opinions as well as communication. In this research paper, we found detecting duplicate material in Facebook groups, pages, and trying to provide a solution for limiting this duplicate content, that is being posted to Facebook and other online social networks. We specified the solution to the issue in the first step and designed an algorithm called Restriction Algorithm for Duplicate Content, which is restricted to posting the copied content in more times on social networks like Facebook. In the second step, we have implemented it to validate our methodology and we have checked the identification of duplicate content of social media writing by using various social media posts as input tests and finally enriching the findings at a satisfactory stage. With optimal computation time, our proposed algorithm can handle large string sizes (more than 10,000 bytes).&#x0D; GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 6(1), Dec 2019 P 33-38
Criminological prognostication of the emergence of new types of narcotic drugs

The article presents the results of studying the algorithms for the emergence of new types of narcotic drugs, identifies the patterns of changes in the chemical structures of new psychoactive substances, and proposes a mechanism for criminological prognostication of the emergence of new types of substances with narcogenic potential. Analytical studies of the emergence of new psychostimulants have confirmed the correctness of the chosen model of state control of new psychoactive substances – the introduction of “derivative narcotic substances and psychotropic substances” into Russian legislation. An objective and comprehensive study of the chemical structures of molecules of new psychoactive substances also confirmed the legitimacy of establishing state control over the illegal traffic of analogues of narcotic drugs and psychotropic substances. In general, the conducted analytical study suggests considering from the scientific and analytical point of view the possible introduction into law enforcement practice of a new direction "Criminological prognostication of the emergence of new types of narcotic drugs". The general algorithms and patterns found in the process of analytical research in the new structures of molecules of psychoactive substances have confirmed both the forensic search and the logical and stepwise development of science in the field of psychoactive substances.
AN EMPIRICAL RESEARCH OF CRITICAL INCIDENT OF EARTHQUAKE DISASTER BASEDON CREDIBLE ASSOCIATION DATA MINING

Earthquake disasters usually cause panic in the community affected areas, so it is necessary to be analyzed to deal with earthquake events in the future. This paper analyzes data from 9 major earthquakes in Indonesia over the past 4 years and determines 14 critical events. The analysis is based on credible association rules (CAR), data mining, and the maximum clique algorithm. To verify the accuracy of the association relationship and CAR effectiveness, it is performed using a maximum clique algorithm. Based on the results of data mining, that earthquakes have a credible association relationship and have a probability of critical events in various regions in Indonesia. Thus, these results can be used for prediction, early warning, and logistic distribution planning.
Reliable part-based long-term tracking using multiple correlation filters

Most visual trackers focus on short-term tracking. The target is always in the camera field of view or slight occlusion (OCC). Compared with short-term tracking, long-term tracking is a more challenging task. It requires the ability to capture the target in long-term sequences and undergo frequent disappearances and reappearances of target. Therefore, long-term tracking is much closer to a realistic tracking system. However, few long-term tracking algorithms have been developed and few promising performances have been shown until now. We focus on a long-term visual tracking framework based on parts correlation filters (CFs). Our long-term tracking framework is composed of a part-based short-term tracker and a re-detection module. First, multiple CFs have been applied to locate the target collaboratively and address the partial OCC issue. Second, our method updates the part adaptively based on its motion similarity and reliability score to retain its robustness. Third, a switching strategy has been designed to dynamically activate the re-detection module and interact the search mode between local and global search. In addition, our re-detector is trained by sampling positive and negative samples around the reliable tracking target to adapt to the appearance changes. To evaluate the candidates from the re-detection module, verification has been carried out, which could ensure the precision of recovery. Numerous experimental results demonstrate that our proposed tracking method performs favorably against state-of-the-art methods in terms of accuracy and robustness.
On the divisibility Fk|Fx2 + Fx + 1

Let F n and L n be the nth Fibonacci and Lucas numbers, respectively.We show that if
Waste not, Want not: All-Alive Pruning for Extremely Sparse Networks

Network pruning has been widely adopted for reducing computational cost and memory consumption in low-resource devices. Recent studies show that saliency-based pruning can achieve high compression ratios (e.g., 80-90% of the parameters in original networks are removed) without sacrificing much accuracy loss. Nevertheless, finding the well-trainable networks with sparse parameters (e.g., < 10% of the parameters remaining) is still challenging to network pruning, commonly believed to lack model capacity. In this work, we revisit the procedure of existing pruning methods and observe that dead connections, which do not contribute to model capacity, appear regardless of pruning methods. To this end, we propose a novel pruning method, called all-alive pruning (AAP), producing the pruned networks with only trainable weights. Notably, AAP is broadly applicable to various saliency-based pruning methods and model architectures. We demonstrate that AAP equipped with existing pruning methods (i.e., iterative pruning, one-shot pruning, and dynamic pruning) consistently improves the accuracy of original methods at 128× - 4096× compression ratios on three benchmark datasets.
AUTOMATION OF QURANIC READINGS GATHERING PROCESS

Quran has been the focus of many computer science and computational linguistics researchers. However, insufficient contribution is directed towards Quranic readings. This field focuses on the different ways in which Quranic words can be recited. Quranic readings gathering is a recitation process that is well-known by the specialists in this field. In this process, all the possible ways of reading a verse are covered in a compact and well-structured manner. To the best of the authorâ€™s knowledge, no computational automation has been cited for this process in literature. In this paper, this process was algorithmically formulated and a developed software system was presented to automate this process. This system took Quranic verse texts as input and generated a text file containing the detailed gathering of the readings of this verse as done by a specialised reciter. The system was applied to the verses of Surah Al-Baqarah and the output text was carefully validated against authentic books in this field. This system can be the basis of software systems for teaching and vocal construction of Quranic readings gathering. It would be useful for students who are interested in Quranic readings.
Metaphor In The Scientific Discourse

There was investigated the role of metaphor in the scientific discourse. The possibility to get clear and laconic information with metaphoric transfer was studied.The goal of this article was to determine the features of the metaphors in the scientific style texts.The scientific novelty was to determine the role of metaphor in the scientific texts and the possibility its use as a scientific term.Conclusion: 1) metaphor is an integral part of the scientific style texts and terminology systems of science, 2) it is an instrument of enrichment of the scientific language (the appearance of new terms, etc.), 3) almost all types of metaphor and metaphorical transfer are represented in the scientific style texts, 4) the evaluative-expressive metaphors are completely absent in the scientific texts, 5) figurative metaphors are used to convey scientific information in a more accessible and easy-to-understand form, 6) metaphor serves as a vector for the further development of scientific knowledge.
Sistem Informasi Administrasi Sekolah Dasar (Studi Kasus : SD Negeri 2 Lingkis)

Primary schools are educational institutions which are the main source educational data needed by education actors to carry out their duties and profession. All activities of recording or recording data in the school are called with administration, administration in schools there are many kinds and types, one of them student administration. Student administration, there are various kinds of activities carried out, starting from enrollment of new students until students leave the school. And management student administration currently running at SD Negeri 2 Lingkis is currently not very good management, especially in storage so that we need an information system Can support the activities of recording data and reports on school student administration. Purpose This research is to build an Elementary School Student Administration Information System which will be more effective and efficient to support all data recording and reporting activities which will be built with a web-based information system. The method used in the development of the school administration information system is Prototype where this prototype model consists of communication, planning, modeling, construction and delivery . The result of this research SD Negeri 2 Lingkis can make it easier for registranst, student, teacher, administrators and principals in student administration
KONTRIBUSI PEMAHAMAN TEKS BERITA TERHADAP KETERAMPILAN MENULIS TEKS BERITA SISWA KELAS VIII SMP NEGERI 12 PADANG

ABSTRACT This article reveals the contribution of skills comprehension text news to writing skills text news grade students VIII SMP Negeri Padang 12. The purpose of this research there are three. First, it describes the skills of comprehension text news grade VIII SMP Negeri 12 field. Second, it describes the writing skills text news grade VIII SMP Negeri 12 field. Third, describing the contribution of the intermediate comprehension text news against writing skills text news grade VIII SMP Negeri 12 field. This research type is quantitative descriptive method. The design used in this research is the design contribution. This research population is grade VIII SMP Negeri Padang are registered on the 12th school year 2019/2020, i.e. as many as 282 students. The sample in this research are determined by proportional random sampling of 20% of the population, i.e. 53 students. Research data is a score test results intermediate comprehension text news and score the writing skills test result text news. The data obtained through two types of tests i.e. objective tests to measure the comprehension text news and performance tests to measure the skills of writing a text news. The results of the research there are three. First, the skills of writing text news grade VIII SMP Negeri Padang 12 are on good qualifications (B) with an average of 76,42. Second, comprehension text news grade VIII SMP Negeri Padang 12 are on more than enough qualifications (LdC) by the value of the average 73,95. Third, there is a contribution of comprehension in the news of text to the skills of writing news texts of class grade VIII SMP Negeri Padang 12 at 15,37%. Kata kunci: Kontribusi, Keterampilan, Pemahaman, Menulis, Teks Berita
HIJANETICS (HIJAIYAH AND ENGLISH PHONETICS) IN EFL PRONUNCIATION CLASSES: A PARTICIPATORY ACTION RESEARCH

This study explored the use of sounds association of Hijaiyah (Arabic Alphabets) and English phonetics (HIJANETICS) in teaching pronunciation to students who learn English as a Foreign Language, especially in Aceh context. It aimed at overcoming the learners’ difficulties in producing English sounds, enhancing their communicative competency, and also promoting an alternative approach to teach pronunciation for teachers. The researcher worked with four English teachers of Madrasah Ulumul Quran (MUQ) Langsa, Aceh Province, whom were selected purposively. Observation and in-depth interview were conducted to obtain the results of the research. The findings revealed that phonetics training by associating the sounds to Hijaiyah (Arabic Alphabets) improved some learners’ pronunciation qualities, which were clearer and understandable. It promoted independent learning for the students since their ability to recognize phonetics symbols allow them to discover how a word is pronounced. Most importantly, it engaged and motivated them to learn the foreign language.
SPEECH TRANSFER PATTERNS IN FORMAL CLASSROOM

This study aims to explain the patterns of formal conversation speech transfer in the Law Studies program at Wisnuwardhana University of Malang. This study is a descriptive qualitative one-site study. The results of the study include transaction patterns in the initial, core, and final activities of learning. Conversation patterns are divided into (a) transaction patterns, (b) speech transfer patterns, and (c) movement patterns informal conversations. The conversation strategy is divided into initiation, negotiation, and an elicitation strategy. The function of conversation is divided into the function of declaring, asking, ordering, and expressing feelings. The use of negotiation strategies, speech expressing apologies, and expressions of gratitude are new phenomena informal conversations.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0747/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
KONTRIBUSI KEMAMPUAN MEMBACA APRESIATIF TEKS CERPEN TERHADAP KETERAMPILAN MENULIS TEKS CERPEN SISWA KELAS VII SMPN 26 PADANG

ABSTRACT This article has written the contribution of appreciative reading skills in fairy tale texts to the skills of producing short story text in class VII students of SMP 26 Padang. This research is quantitative research using descriptive methods and contribution research designs. The research data is a score of appreciative short story text reading skills and short story text test scores. Data is obtained through two types of tests, namely objective tests that use short story texts that write. Based on the results of data analysis and discussion, the researcher concluded the following three things; first, the average score of appreciative reading skills reads short story texts of students in class VII Padang 26 Junior High School in good qualification (82.01). Second, the average score of short story text students who write students in class VII of Padang 26 Junior High School is in good qualification (79.17). Third, there is a significant contribution between the ability to read short story texts that are appreciative of students who write short story text students in class VII of Padang 26 Junior High School as much as 84.82%. Kata Kunci: kontribusi, kemampuan, membaca apresiatif, menulis, teks cerpen
DIGITALIZATION OF GENERAL SECONDARY EDUCATION: ISSUES AND PROSPECTS

The article presents the results of the analysis of analytical and statistical materials of the Ukrainian mass media and relevant scientific publications on reforms in the education system, as well as the statistical material of the Ministry of Education and Science of Ukraine, the State Statistics Service of Ukraine, the State Employment Service of Ukraine and corresponding Internet resources (HeadHunter, UNESCO Database, Eurostat Educational Statistics), for it indicates the conditions of digitalization of the Ukrainian general secondary education as the primary link of the national IT education, therefore describes the issues of developing digital competency in pupils. They involve the conservatism of the Ukrainian school education, the predominance of memorization over empirical practical activity, the uneven digitization and the low results of implementing inclusive education. The article shows that the uneven digitalization of education has been caused by unequal access of urban and rural children to high-speed Internet and digital resources. The conservatism of the Ukrainian school education in determining the priorities lies in the prevalence of hard skills over soft and digital skills. The process of developing pupils’ digital competency does not take into account the peculiarities of their mental and physiological development. Besides, preference is given to the memorization of information, rather than to empirical practical activities. One can observe the slow introduction of "the new literacy studies" requirements into the educational process of modern schools. Consequently, it expands the horizons for the classical school triad of basic primary school skills (reading, writing, numeracy) and motivates pupils towards self-development and self-improvement. Teachers find it difficult to combine the latest teaching aids with traditional ones rationally. Modern schools are not always ready to use a wide range of information and communication technologies’ opportunities for the full implementation of inclusive education. The use of distance learning technologies in general secondary schools is somewhat sporadic. The level of many teachers’ digital literacy and cultureis rather insufficient. The moral challenges of the global digital society call into question the system of traditional human values, moral and ethical norms. The reforms in the national schooling have been attempting to eliminate the above-mentioned issues.
Efektivitas Pemanfaatan Media Online dalam Pembelajaran di Masa Pandemi Covid-19

This research aims to determine what applications are used by lecturers and students in learning and how it's effectiveness in supporting the learning process. The approach used in this research is qualitative, with data collection through observation, documentation, and interviews. To test the validity of the data, triangulation of sources, data and discussions with peers was used. Data was collected by interview via WhatsApp to ten students of UIN Maulana Malik Ibrahim Malang. The result shows that lecturers and students using apps Zoom Meeting, Google Meet, E-learning and WhatsApp Group to support learning online. Lectures with these media often have problems with the signal or internet network, especially for students who live in areas with poor signal and do not use wifi and that will also have an impact on the quality of learning that students receive. However, this application media is still considered effective by the majority of students, because it has advantages in practicality, saves costs and time, and facilitates communication between lecturers and students.
KONTRIBUSI KETERAMPILAN MEMBACA PEMAHAMAN TEKS ANEKDOT TERHADAP KETERAMPILAN MENULIS TEKS ANEKDOT SISWA KELAS XI MA NEGERI 3 PADANG

ABSTRACT The purpose of this research is three. First, describing the reading skills of anecdotal text students XI MA Negeri 3 Padang. Secondly, it describes the writing skills of anecdotal text students XI MA Negeri 3 Padang. Third, describing the contribution of reading skills of anecdotal text to the writing skills of anecdotal text students XI MA Negeri 3 Padang. This type of research is quantitative by a descriptive method. The design used in this study is design contributions. The population of this study is the XI MA Negeri 3 class students enrolled in the 2018/2019 school year, with 250 students. The samples in this study were determined by simple random sampling 25% of the population, which is 61 students. This research Data in the form of scores of test skills reads the understanding of anecdotal text and scores test results of anecdotal text. The Data is obtained through two types of tests i.e. objective tests to measure the reading skills of anecdotal text and test performance to measure anecdotal text writing skills. The results of this study were three. First, the reading skills of understanding anecdotal text students XI MA Negeri 3 Padang are in good qualification (B) with an average value of 85.09. Secondly, the writing skills of anecdote-class students XI MA Negeri 3 Padang are on a good qualifying (BS) with an average of 86.13. Thirdly, there is a contribution of the reading skills of anecdotal text to the writing skills of anecdotal text students XI MA Negeri 3 Padang amounted to 17.56%. Kata Kunci:Kontribusi, Keterampilan, Membaca Pemahaman, Menulis, Teks Anekdot