Reviewerly/exHarmony huggingface dataset:
Explainable Multi-class Classification of Medical Data

Machine Learning applications have brought new insights into a secondary analysis of medical data. Machine Learning helps to develop new drugs, define populations susceptible to certain illnesses, identify predictors of many common diseases. At the same time, Machine Learning results depend on convolution of many factors, including feature selection, class (im)balance, algorithm preference, and performance metrics. In this paper, we present explainable multi-class classification of a large medical data set. We in details discuss knowledge-based feature engineering, data set balancing, best model selection, and parameter tuning. Six algorithms are used in this study: Support Vector Machine (SVM), Naïve Bayes, Gradient Boosting, Decision Trees, Random Forest, and Logistic Regression. Our empirical evaluation is done on the UCI Diabetes 130-US hospitals for years 1999-2008 dataset, with the task to classify patient hospital re-admission stay into three classes: 0 days, &lt;30 days, or &gt; 30 days. Our results show that using 23 medication features in learning experiments improves Recall of five out of the six applied learning algorithms. This is a new result that expands the previous studies conducted on the same data. Gradient Boosting and Random Forest outperformed other algorithms in terms of the three-class classification Accuracy.
PENERAPAN MODEL CONTEXTUAL TEACHING AND LEARNING BERBANTUAN MEDIA POP-UP BOOK UNTUK MENINGKATKAN AKTIVITAS SISWA SD

This study aims to determine the increase in student activity by applying the contextual teaching and learning model aided by pop-up media. This research was conducted in grade V elementary school with the number of students 26. The method used is a classroom action research method that lasted for 2 cycles, each cycle consisting of planning, implementation, observation, and reflection. Data collection techniques used were interviews, observation, tests, and documentation. Analysis of the data used is quantitative data analysis and qualitative data analysis. the results of observations in cycle I get an average percentage of 68.07% with qualifications need guidance, and in cycle II increased to 84% with good qualifications. From the research that has been done it can be concluded that the contextual teaching and learning model is assisted Pop-up book media can increase student activity.
REPOSITORI DATA NASIONAL: TANTANGAN BARU PENGEMBANGAN KOLEKSI PERPUSTAKAAN

Data has become one of the important things in research. Data as a library collection will make the library more complete. That is why more and more institutions want research results not only in the form of research reports, but also in the form of usable datasets. Data that is managed by the library can be reused by other researchers to allow for further research.The various data that have been collected and processed will become a form of "collection" of the library and can be easily accessed by the users. Therefore, data as part of the library collection will be a challenge in collection development. The National Data Repository is a repository capable of managing various kinds of data, both hard data in the form of numbers or numeric, as well as soft data in the form of textual, audio, and visual. As a library that has both reference and research functions, the National Library of Indonesia is expected to build a national data repository as a reference for researchers in Indonesia.
A Data Driven Decision Making and Contract Tracing App for Organizations to Combat COVID-19

In this paper we review the threat posed by the COVID-19 pandemic, the justification for the elimination strategy adopted by New Zealand, and some of the actions required to maximize the chances of success.During the current COVID-19 pandemic, there have been many efforts to predict the infection cases, number of fatalities, and other medical indicators, using a range of statistical or epidemiological models.During the current COVID-19 pandemic, there have been many efforts to forecast the infection cases, deaths and other medical indicators including hospital capacity calculation, with a variety of predictive epidemiological models.These forecasting projects have influenced policies in some countries.However, the prediction of the COVID-19 pandemic as a "wicked problem" is uncertain by nature.The uncertainty is deep-rooted in the many unknown unknowns about the communicable virus itself and the complexity, heterogeneity and dynamism of human behaviors, government interventions and testing protocols.As there are no set standards between and sometimes within the countries, it makes it a 'wicked problem', nearly impossible to predict.The wicked and uncertain nature of this pandemic makes the aim for prediction accuracy deceptive.Herein, we propose to be cautious about the intent for "accurate" predictions or models.Instead of making inaccurate predictions let us try to understand the data that is available to us to explore the significant indicators of the uncertainty.Such indicators are expected to make the planning and policy more "futureinformed" and possibly introduce and guide pre-cautionary actions now to shape the real future.Also, we have proposed here a Power Apps-based app for organizational users to do a check in on their known location(s) to facilitate contact tracing if needed in an event of Novel Coronavirus suspected case as the countries move between different lockdown levels.
EsoCipher: An Instance of Hybrid Cryptography

This paper proposes a whole new concept in the field of Cryptography, i.e., EsoCiphers. Short for Esoteric Cipher, EsoCipher is an algorithm, which can be understood by a few, who have the knowledge about its backend architecture. The idea behind this concept is derived from esoteric programming languages, but EsoCiphers will be having a practical use in the future, as more research is done on the topic. Although the algorithm is quite simple to understand, the complexity of the output will indeed prove to be difficult to brute-force if a secret is embedded in it. It uses a hybrid cryptography-based technique, which combines ASCII, Binary, Octal, and ROT 13 ciphers. The implementation and similarity index has been provided to show that it can be implemented practically.
Software, Attacker and Asset-centric Approach for Improving Security in System Development Process

Secure development process is a procedure taken by developers to ensure the programs developed are following the general security standards and will always be up to date so that the outcomes are well secured and obedient. As a software developer, it is very crucial to implement and develop a highly secured and reliable program for clients and users. In this current digital world where everything is advancing faster than we can ever think of, most of the old security policies can no longer be implemented alone. The consequences and impacts that could be brought upon a company are really huge if the software applications are not secured according to the modern trend. Therefore, in this paper research is done to asses the security integration in software development process. The concept and the purpose of this research is to provide insight about the current issues and challenges faced by most of the software developers in terms of secure software development. With a better and clearer explanation of these issues, challenges, and methodologies adopted to overcome them are discussed which can potentially provide a better and higher level of security along with better software programmers and client relationship. To comply with future demands and threats, security concerns need to be involved in all phases while developing a software system. Therefore, an effort is made to investigate and contribute to this domain through this paper.
APLIKASI PENGELOLAAN KEUANGAN PADA PERGURUAN ADVENT SIMBOLON

The Simbolon Adventist College is one of the private status schools in the area of ​​Samosir, Palipi District. This school has used computer equipment in carrying out its work activities, such as Microsoft Office Excel. However, the use of computer devices only utilizes small activities such as calculating cash income and expenditure and making reports. Administration of data processing that is processed by the finance department is still manual, namely in the form of files. The administrative data processing in question, such as recording the cash in the school as well as the cash out used by the parties, as if they were still using the records in the books stored in the storage cabinet. The problems found are data redundancy, file buildup will cause the file to be damaged, and require a long time to search for information because of the large number of files. Making Simbolon Adventist College Information System using Microsoft Visual Studio 2010 programming language, Microsoft Office Access 2007, and Crystal Report 8.5. The results of making the system are optimal computer use and simplify the financial management of the Simbolon Adventist College and assist in the process of inputting school financial data and presentation of reports.
Efektivitas Metode Penugasan Vlogging dalam Pembelajaran Berbicara Siswa Kelas X SMAN 1 Kedungwuni

This study aims to 1) find out the differences in Javanese language speaking skills in groups of students who are treated using the vlogging assignment method with groups of students who only use the conventional method or without the vlogging method. 2) find out the effectiveness of learning using the vlogging method to the learning outcomes of Javanese speaking skills in class X students of SMAN 1 Kedungwuni. This research is quasi-experimental research. The research data were obtained from quantitative and qualitative data, namely interviews and test results. The data analysis technique used a t-test, distribution normality test, and variant homogeneity test. The validity of the study was obtained based on expert judgment. The results of this study indicate that 1) there are differences in learning outcomes of Javanese language speaking skills in groups of students who are treated using vlogging assignments with groups of students who only use conventional methods. In the post-test, the mean value of the experimental class students taught by using the vlogging assignment method was 84.61, the value was greater than the average control class result of 77.89. 2) the vlogging assignment method is more effective in improving the Javanese language speaking skills of class X students of SMAN 1 Kedungwuni. The effectiveness of the vlogging assignment method is proven through the t-test on the pre-test and post-test scores of the experimental and control groups. The difference in the average value of pre-test and post-test in the experimental class. is higher in the experimental class that is equal to 21.44&gt; 14.89 in the control class. These results indicate that the experimental group with the vlogging method is more effective in improving students' Javanese speaking skills.
The Use Of Macromedia Flash Player As Media To Improve Students’ Reading Skill

Abstract&#x0D; The study is classroom action research. It is conducted at Junior High School of PGRI 4 Labuan Ratu.The subject of the research is eight students of Junior High School of PGRI 4 Labuan Ratu. The objectives of the research are: 1) to know how macromedia flash player can improve students’ reading skill at eight year of Junior High School of PGRI 4 Labuan Ratu; 2) to know how is the classroom situation when macromedia flash used in teaching reading at eight year of Junior High School of PGRI 4 Labuan Ratu.&#x0D; The research is conducted in two cycles. The procedure of the research consists of identifying the problem, planning the action, implementing the action, observing the action, and reflecting the result of the research. To colect the data, the writers employ observation, interview and test. In the meantime, to analize the data, the writers make use of some steps: (1) Data Reduction (2) Data Display (3) Data Conclusion.&#x0D; The result of the research indicates that there is an improvement on students’ reading skill; (1) the students are able to identify the specific information of the text; (2) the students are able to identify the purpose of the text; (3) the students are able to identify the generic structure of the text. The students’ scores are as follow: The average of pre test is 51,46%. The average of post test 1 is 69,59% and the average of post test 2 is 82,34%. Therefore, it can be concluded that, teaching reading using macromedia flash player is quiet effective for the eight year students of Junior High School of PGRI 4 Labuan Ratu.
Kitap Tanıtımı: Discourse Meaning: The view from Turkish. 2020. Zeyrek, D., and Özge U. (Eds.). De Gruyter Mouton. 284 pages. ISBN 978-3-11-067892-5

This is a book review of the Book Review Discourse Meaning: The view from Turkish. 2020. Zeyrek, D., and Özge U. (Eds.). De Gruyter Mouton. 284 pages. ISBN 978-3-11-067892-5, which includes two parts, 1) the overview of the book; 2) the evaluation of the book. These are followed by the references. This volume, “Discourse meaning from the view of Turkish” edited by Zeyrek and Özge, contributes to the field by providing various topics, perspectives and methodologies. The volume is not only an invaluable reference for researchers, instructors, graduate students, that is, principally for those interested in discourse analysis and those who would like to investigate further into these issues, but also an illuminating source in the field of discourse analysis, its teaching, and the use of corpora in discourse studies.
AUDIOBOOK FOR INCLUSIVE STUDENTS: ITS EFFECTIVE PRACTICE

The purpose of this study is to describe audiobook as learning media and todescribe factors influencing the successful used of audiobook by the blind studentsin inclusive school. This study was conducted at MA Muhammadiyah 1 Ponorogo.The instruments were observation, interview, and documentation. The result ofthis study revealed that the process of the use audiobook for supportingreferences in learning English, the teacher introduces an audio application andthen installing it on a blind students’ hand phone or laptop. The factor influencingthe successful use of audiobook by the blind students there are two factors thatare internal and external factor. Internal factor that influencing the success ofblind students in English learning by using audiobook the existence of enthusiasmfrom within. External factor that from parents, teacher, caregivers, and also theirfriends. All of them always help the blind students when needed.
Student Mixture and Its Machine Learning Applications to PVT Properties of Reservoir Fluids

Distribution mixture models are widely used in cluster analysis. Particularly, a mixture of Student t-distributions is mostly applied for robust data clustering. In this paper, we introduce EM algorithm for a mixture of Student distributions, where at the E-step, we apply variational Bayesian inference for parameters estimation. Based on a mixture of Student distributions, a machine learning method is constructed that allows solving regression problems for any set of features, clustering, and anomaly detection within one model. Each of these problems can be solved by the model even if there are missing values in the data. The proposed method was tested on real data describing the PVT properties of reservoir fluids. The results obtained by the model do not contradict the basic physical properties. In majority of conducted experiments our model gives more accurate results than well-known machine learning methods in terms of MAPE and RMSPE metrics.
PAARS: Privacy Aware Access Regulation System

During pandemics, health officials usually recommend access monitoring and regulation protocols/systems in places that are major activity centres. As organizations adhere to those recommendations, they often fail to implement proper privacy requirements to prevent privacy loss of the users of those protocols or systems. This is a very timely issue as health authorities across the world are increasingly putting these regulations in place to mitigate the spread of the current pandemic. A number of solutions have been proposed to mitigate these privacy issues existing in current models of contact tracing or access regulations systems. However, a prevalent pattern among these solutions are they mainly focus on protecting users privacy from server side and involve Bluetooth based ephemeral identifier exchange between users. Another pattern is all the current solutions try to solve the problem in city-wide or nation-wide level. In this paper, we propose a system, PAARS, which approaches the privacy issues in access monitoring/regulation systems from a micro level. We solve the privacy issues in access monitoring/regulation systems without any exchange of any ephemeral identifiers between users. Moreover, our proposed system provides privacy on both server side and the user side by using secure hashing and differential privacy mechanism.
3D MAPPING OF UKRAINIAN EDUCATIONAL SYSTEM

Due to the transformation of education, the traditional role of the researcher is changing. The modern scientific and pedagogical worker must be able to choose and use ICT to teach students; to organize cooperation and communication between the participants of the educational process; to design electronic resources and educational electronic environment, to be a facilitator and assistant for students, to understand and take into account in the educational process their needs and features, cognitive learning styles, new services and tools for effective cooperation, communication, 21st century skills. Higher education institutions must prepare graduates for today's conditions - graduates with new, digital, competencies needed in the modern workplace. Graduates who have a sufficient level of digital competence, who understand and use modern digital technologies for professional purposes, are able to communicate by means of modern technologies and solve problems, process, analyze and manage information data; quickly master new technologies and tools and are able to assess their own level of competence and self-learn in the digital society. The report analyzes the state policy and regulatory framework in the field of digital skills and competencies in Ukraine, the study of information and communication competence in the European educational space. Based on the results of the analysis of these documents, questionnaires were developed for the survey of three groups of respondents (Annexes 1-3) and questionnaires were conducted within six universities that are participants in the MoPED project. Also presented in detail is a 3D mapping of the education system in Ukraine based on the results of a survey that reflects the trends of understanding of teachers and students of higher education and secondary education teachers of modern educational trends, the use of innovative pedagogical technologies and digital tools in education.
Engineering and Economic Evaluation of Production of SnO2 Nanoparticles by Microwave-Assisted Green Synthesis

The synthesis of nanoparticles from noble metals such as tin (IV) oxide (SnO2) is a research in progress with a very wide application in various fields, such as environmental improvement, gas sensors, catalysis, and lithium-ion batteries. The purpose of this study was to evaluate the economic feasibility of producing tin (IV) oxide (SnO2) nanoparticles using the microwave-assisted green synthesis method on an industrial scale for 10 years by evaluating from an engineering and economic perspective. Various economic parameters are used to analyze economic viability, including Gross Profit Margin (GPM), Payback period (PBP), Cumulative Net Present Value (CNPV), as well as economic variations in sales, taxes, raw materials, labor wages, and utilities to ascertain project viability. Technical analysis to produce 8.54 kg of SnO2 nanoparticles per day shows a total production cost of 1,982,243,613.12 IDR and a total investment cost of 1,732,590,765.12 IDR. The resulting gross profit margin is 39,231,578,268 IDR/year, the profit is relatively economical, so this project can be run for 10 years under ideal conditions. This research is expected to be a reference for technical and economic analysis of industrial scale production of SnO2 nanoparticles.
THE ANALYSIS OF AMBIGUITY IN CONCEPTUAL ANNOTATION OF RUSSIAN TEXTS

Properly annotated text corpora are an essential condition in constructing effective and efficient tools for natural language processing (NLP), which provide an operational solution to both theoretical and applied linguistic and informational problems. One of the main and the most complex problems of corpus annotation is resolving tag ambiguities on a specific level of annotation (morphological, syntactic, semantic, etc.). This paper addresses the issue of ambiguity that emerges on the conceptual level, which is the most relevant text annotation level for solving informational tasks. Conceptual annotation is a special type of semantic annotation usually applied to domain corpora to address specific informational problems such as automatic classification, content and trend analyses, machine learning, machine translation, etc. In conceptual annotation, text corpora are annotated with tags reflecting the content of a certain domain, which leads to a type of ambiguity that is different from general semantic ambiguity. It has both universal and language- and domain-specific peculiarities. This paper investigates conceptual ambiguity in a case study of a Russian-language corpus on terror attacks. The research methodology combines automated and manual steps, comprising a) statistical and qualitative corpus analysis, b) the use of pre-developed annotation resources (a terrorism domain ontology, a Russian ontolexicon and a computer platform for conceptual annotation), c) ontological-analysis-based conceptual annotation of the corpus chosen for the case study, d) corpus-based detection and investigation of conceptual ambiguity causes, e) development and experimental study of possible disambiguation methods for some types of conceptual ambiguity. The findings obtained in this study are specific for Russian-language terrorism domain texts, but the conceptual annotation technique and approaches to conceptual disambiguation developed are applicable to other domains and languages.
Towards Races in Linear Logic.

Process calculi based in logic, such as $\pi$DILL and CP, provide a foundation for deadlock-free concurrent programming, but exclude non-determinism and races. HCP is a reformulation of CP which addresses a fundamental shortcoming: the fundamental operator for parallel composition from the $\pi$-calculus does not correspond to any rule of linear logic, and therefore not to any term construct in CP. We introduce non-deterministic HCP, which extends HCP with a novel account of non-determinism. Our approach draws on bounded linear logic to provide a strongly-typed account of standard process calculus expressions of non-determinism. We show that our extension is expressive enough to capture many uses of non-determinism in untyped calculi, such as non-deterministic choice, while preserving HCP's meta-theoretic properties, including deadlock freedom.