Reviewerly/exHarmony huggingface dataset:
Association Rule Mining for Temporal Data without Lifespans

There are significant challenges in finding association rules for temporal data due to the associations' temporal factors. In particular, fuzzy temporal association rule mining, a widely applied human explainable method to reveal such rules by discovering fuzzy associations among temporal data, encounters a problematic issue caused by unknown lifespans of the patterns and associations, including start time and end time during the period of effective duration. More specifically, temporal data could have their unique lifespans. These lifespans are essential to the discovery of such temporal association rules. Current work only deals with objects that have directly observable lifespans. However, objects whose lifespans are usually unknown can only be indirectly estimated according to their effects. This thesis, therefore, aims to cope with unknown lifespans so that the proposed methods can serve the purpose of revealing temporal rules.
Aplikasi Jelajah Kampus Universitas Suryakancana Menggunakan Augmented Reality dan Virtual Reality

Augmented Reality and Virtual Reality can be an innovation for exploring the Suryakancana University which aims as one of the promotional media to the community, especially prospective new students. Because with virtual reality an object visualization can be carried out regarding the actual layout of the campus floor plan without having to come directly to the campus. Meanwhile, to find out some general information about the University of Suryakancana can be done by utilizing augmented reality. The use of these two technologies will simulate an object so that campus roaming can be more interesting and efficient so that the goals of a campus promotion can be achieved. The application development method uses the Multimedia Development Life Cycle.
Blockchain Technology and Its Growing Role in the Internet of Things

The complicated environment of IoT represents a rich surface for attackers to exploit its vulnerabilities and disclose its assets. The ownership of IoT devices considers as one of the main assets that ordinarily managed by the centralized entity. The centralized entity can become a potential site of attack or become an attacker itself. The proposed approach aims to address the central authority issue by utilizing the advantage of the blockchain and Ethereum smart contract. Our approach involves playing the role of controlling the ownership functions during the device lifecycle, such as transferring the ownership, as well as, getting a trusted log of device owners from the current owner back to the origin. Our analysis shows that our solution is viable and offers a significant degree of transparency, anonymity, immutable, and non-repudiation.
A Recognition Method of OAM based on Diffraction Neural Network

Orbital angular momentum has attracted a lot of attention due to its potential to increase communication capacity. However, the recognition of orbital angular momentum has always been a difficult problem. This paper proposes an orbital angular momentum recognition method based on diffraction neural network, and the simulation is done with CST software. The good results were obtained.
Development of Special Library Consortia in India: A Comparative Study of e-ShodhSindhu and NKRC

The growth of technology increases the growth of information, due to the vast amount of information; it is difficult to get the all required information from one resource. To fulfill the user needs, the libraries may either depend on the other library or obtain the resources through resource sharing i.e., the concept of consortia. The paper discusses the development and current status of e-ShodhSindhu and National Knowledge Resource Consortia (NKRC). The main purpose of this paper is to describe the development of e-journal consortia in India.
A survey and study on modern OS reliability and security

Current studies in operating systems focuses on either security or on reliability. However, current or modern OS platforms call for answers that match both styles of requirements. If we build not only best applications but also middleware and OS in a similar way, we can construct systems that not only are inherently stable however also can resist attacks from malicious programs and face up to errors. In this paper, we conduct an exploratory study on Modern OS reliability and security. We examine many real OS failure facts collected from distinct administrative and real time environments and present the results which show a number of the primary reasons of OS failures.
Modelling and Verification Analysis of Cooperative and Non-Cooperative Games via a Modal Logic Approach

In game theory, a cooperative game (or coalitional game) is a game with competition between groups of players (coalitions) due to the possibility of external enforcement of cooperative behavior (e.g. through contract law). Those are opposed to non-cooperative games in which there is either no possibility to forge alliances or all agreements need to be self-enforcing (e.g. through credible threats). Cooperative games are often analyzed through the framework of cooperative game theory, which focuses on predicting which coalitions will form, the joint actions that groups take and the resulting collective payoffs. It is opposed to the traditional non-cooperative game theory which focuses on predicting individual players’ actions and payoffs and analyzing Nash equilibriums. In this work, the cooperative and non-cooperative game problem is modeled by means of a modal logic formula. Then, using the concept of logic implication, and transforming this logical implication relation into a set of clauses, a modal resolution qualitative method for verification (satisfiability) as well as performance issues, for some queries is applied.
Exploring the Effects of Sanctions and Power Distance on Information Security Policy Compliance in a High-Power Distance Society

AbstractResearch in information security requires investigating many influential factors, sometimes in combinations, to evaluate their effectiveness in combating policy compliance issues.  Organizations often use sanctions to mitigate security violations; some research findings point to the efficacy of sanctions, and some find them encouraging information security breaches. Still, this research was to study the effect of sanctions in a high-power distance society where people traditionally respect rules.  The following theories, General Deterrence Theory, Self-Efficacy Theory, Theory of Reasoned Action, and Theory of Planned Behavior, were involved in developing the model for this study.  The number of completed questionnaires used for the study was 129.  Structural equation modeling-based analysis performed on the collected data generated the following results: benefits of compliance, power distance, and self-efficacy were significant and impacting.  Sanctions were not significant.  Information security policy awareness and training programs should emphasize the variables that have positive impacts and de-emphasize sanctionsKeywords:  Information security compliance, Benefits of compliance, Self-efficacy, Power distance, Sanctions
Why Simplicity? Choosing a Web Architecture

This article examines managing a web project, and why the simpler option can also be the most appropriate.
Increasing System Security with Full Homo-morphic Encryption using Lagrange’s Functions

Homo-morphic systems present a novel way to encrypt data, via which operations performed on the encrypted data are fully/partially reflected in the decrypted data. For example, if the input data D is homo-morphically encrypted to E, and if we perform X=E+N, then while decrypting X, we are bound to get D+N. Such a kind of encryption helps data owners to safely share their data among different analysers, without the risk of any kind of data leakages. Data analysers usually perform mathematical operations on the data which include addition, subtraction, multiplication and division. Homo-morphic systems which support addition &amp; subtraction but do not support multiplication and division are termed as partially homo-morphic systems. While systems which support all the operations are termed as fully homo-morphic systems. In this paper, we have implemented a fully homo-morphic system based on Lagrange’s functions. These functions help in improving the overall security of the system by adding stochastics to the input data, which ensures that the same input data has different cipher text, and full homo-morphism is achieved. Security of overall system increased by 40% by using FHE.
Mrs Performance evaluation of Convolution Neural network for handwritten Digit Recognition

Image classification problems are very well addressed by computer vision methods. However is not devoid of manual feature extraction. The recent advancements in the field of artificial neural network and particularly convolution neural network are proven to outperform the conventional methods. The CNN, a deep learning technique is capable of addressing a large number of classification and recognition problems. However, there is no one unique model that works for all and exhibits high degree of flexibility in the selection of model parameters such as   filter count, kernel size,  number of layers, pooling size and optimiser. The performance of CNN is evaluated for handwritten digit recognition of MNIST data base. The kernel size and type of optimiser have greater contribution on accuracy. The single layer CNN model with 32 filter count, kernel size of 9x9, pooling size of 2x2 and adam as an optimiser has achieved an recognition accuracy of 99.13%
Age estimation using Demirjian’s method and Foti’s method: A comparative study

Introduction Age is one of the essential factors which play an important role in every aspect of life. This study was to compare dental age with chronological age using Demirjianrsquos method and Fotirsquos method. Aim and objective To determine the Chronological age using date of birth and Dental age using Demirjanrsquos and Fotirsquos method and to compare the chronological and dental age from both the methods and to assess which method is better in estimating Chronological age.Material and methods The present study includes total of 50 patients from age group of 7 to 20 years. their chronological age was estimated using date of birth. Then the dental age was estimated using orthopantomogram from stored database by Demirjianrsquos method and Fotirsquos method.nbspResult On comparing chronological age with Demirjianrsquos and Fotirsquos methods Demirjians method showed no statistical significance but Fotirsquos method showed significant differences. Conclusion Demirjianrsquos method was better than Fotirsquos method in estimation of dental age.
Online information literacy training for users during covid-19 pandemic: A case study of east West University Library, Dhaka, Bangladesh

The study aims at exploring the present status of online Information Literacy (IL) training at East West University Library (EWUL), Dhaka, Bangladesh and providing some recommendations for the successful implementation and sustainability of the program. It adopted a case study method and conducted interviews of fifteen (15) library staff of EWUL using a pre-structured interview protocol. The findings reveal that a total seventy-nine (79) users participated in the online IL training program organized by EWUL during COVID-19 pandemic. The number of participants as well as the sessions conducted during COVID-19 were less than traditional mode of IL training. The languages of both the training were English and Bangla, however, some minor changes in the format of online training were identified. The structure of the online IL training program is based on ten modules with distinctive features. A number of problems including online infrastructure issues, lack of awareness, short duration of training, non-engaging users, lack of policy, absence of follow-up after training, etc. were faced by the library staff of EWUL while conducting online IL training. The implications of this study are discussed by providing a set of practical recommendations which may encourage other academic libraries adopting online IL training programs.
Calendars, Culture, and Multithreading in C#

This chapter is dedicated to one of the most versatile languages out there: the mighty C#. By now, you are hopefully familiar with the basic syntax of this language and the setting up of an integrated development environment. We'll hereby proceed to explore some of the more advanced topics related to this stout language, including the basics of calendar work and multithreading.
Improving Essay Writing through Project-Based Learning

This study focuses on recount essay writing.  However, teaching writing needs specific attention, method, materials, and strategy.  To make students write a good writing, innovative teaching techniques are needed.  In this study, PjBL is selected as the alternative to teaching recount essay. The design of this study is classroom action research (CAR). The study was conducted at the eighth grader of SMPN 1 Tenggarong Seberang. The class consists of 30 students. The results of the research are: In the first cycle, there were 4 weaknesses found in different parts of techniques, in mechanics score, language score, vocabulary score and organization score. The weaknesses in the first and second cycles were the same, and in the third cycles all the weaknesses had been corrected.  The average score of students’ mastery changed in every cycle. The average scores of students’ mastery in cycle I, II and III were increased in series 28.33%; 55.00% and 73.33%.
Kesesuaian Obat Hipoglikemik Oral pada Pasien Diabetes Mellitus Tipe 2 di Fasilitas Kesehatan Tingkat Pertama X di Surakarta

ABSTRAKDiabetes mellitus (DM) didefinisikan sebagai penyakit kronis yang disebabkan karena keturunan atau kurangnya produksi insulin oleh pankreas, atau tidak efektifnya insulin yang dihasilkan. Pelayanan obat untuk peserta Jaminan Kesehatan Nasional pada fasilitas kesehatan mengacu pada daftar obat yang tercantum dalam Formularium Nasional (Fornas). Selain itu, pelayanan kesehatan juga harus sesuai dengan algoritma terapi. Pemilihan obat hipoglikemik oral (OHO) yang tepat sangat menentukan keberhasilan terapi DM. Penelitian ini bertujuan untuk mengetahui gambaran kesesuaian penggunaan OHO berdasarkan Fornas dan algoritma terapi DM tipe 2 di Faskes Tingkat Pertama X di Surakarta. Penelitian ini termasuk jenis penelitian deskriptif. Pengambilan data dilakukan secara retrospektif dari catatan rekam medik pasien. Sampel dalam penelitian ini adalah OHO di Faskes Tingkat Pertama X di Surakarta pada periode Januari sampai Mei 2019. Hasil penelitian menunjukkan bahwa pasien yang mendapatkan OHO sesuai rekomendasi Fornas sebanyak 105 dan pasien yang mendapatkan OHO sesuai rekomendasi Algoritma Terapi DM sebanyak 75. Kesimpulan penelitian ini adalah 100% penggunaan OHO sesuai rekomendasi Fornas dan 71,43 % penggunaan OHO sesuai rekomendasi Algoritma Terapi DM.Kata kunci : Kesesuaian, Diabetes, Fornas, Algoritma terapiDiabetes mellitus (DM) is a chronic disease caused by heredity or when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces. Medication services for National Health Insurance participants in health facilities refer to the list of drugs listed in the National Formulary. In addition, health services must also be in accordance with the therapy algorithm. The selection of the right oral hypoglycemic (OH) drug greatly determines the success of DM therapy. This study aimed to know the description of conformity of OH drug use based on the national formulary and type 2 diabetes mellitus therapy algorithm at primary health facility X in Surakarta. This research was a descriptive research with data collection in Retrospective from medical record patient. Sample in this research was OH drug in Primary Health Facilities X at Surakarta period January to May 2019. The results showed that patients who received OH drug according to Fornas recommendations were 105. Patients who received OH drug according to the recommendations of the DM Therapy Algorithm were 75. The conclusion of this study is 100% OH drug according to National recommendations and 71,43% OH drug according to DM Therapy Algorithm recommendations Keywords: Conformity, Diabetes, National Formulary, Therapy Algorithm
UTILIZING SCRABBLE AS A MEDIUM TO IMPROVE STUDENTS’ VOCABULARY SKILLS IN HIGH SCHOOLS

A good education produces satisfactory learning outcomes. Creative learning requires teachers to be able to use all available resources so that students learn optimally. One of the efforts to maximize learning at home is the use of appropriate media for the conditions and situations at school. The teachers’ difficulty of using suitable media is a problem, especially the teaching of English words. Students still have insufficient vocabulary mastery; as a result,innovations and effort are required in order that students can improve their learning outcomes. One of the media that can be used is scrabble. This research used classroom action research method. The class action was carried out in 2 cycles. The initial cycle began with mapping the students' initial abilities and administering a test after using Scrabble. The second cycle was conducted by improving the teaching through scrabble. 21 students were involved in the classroom action research. The results showed that scrabble could improve English vocabulary learning outcomes. The average score in cycle 1 was 77.9 and in cycle 2 was 78.9. There was an increase for1 point. This result was expected to be improved as the students' vocabulary increased. Teachers should be able to use various and effective media so that students would not get bored studying in class. Learning outcomes increased along with the increase in students’ activities in the classroom.
Sistem Informasi Pengolahan Data Anak Panti Asuhan Mentawai

Mentawai orphanage is a social welfare institution/foundation that is responsible for providing social welfare services to children from Mentawai. In processing the data for foster children in this orphanage it is still manual or still using paper. This orphanage experienced several obstacles in managing the data for foster children. When foster children's data is needed, they must check each other's files first, if there are foster children who have to update their data it takes a long time to process. Data processing in the form of an information system is very much needed by this orphanage because a lot of data for foster children are requested by both donors and the government to provide assistance. This application also helps the orphanage to change, add and delete existing foster children's data and provide data when ordered by other parties.
Java, C#, and Python 101

In this chapter, we'll get acquainted with three of the most popular programming languages in 2021 (and probably beyond). Several concepts related to programming will be presented and discussed in some detail. These terms may seem daunting and/or clunky at first, but be aware they are actually rather simple once grasped and offer a special path straight into your computer's very heart. We'll begin by introducing you to these three amazing languages: Java, C#, and Python.
Knowledge Base Design for Diagnosis Pregnancy Problems

In Indonesia, the death rate of pregnant women was still very high. Lack of knowledge about the perceived symptoms during pregnancy make pregnant women regardless of the specific symptoms that can be harmful and disease records indicate the causes of indirect maternal death in pregnant. Moreover, the risk of pregnant mother mortality is also higher due to the delay in taking the decision factors for referenced. Based on the fact, the proposed solution in the form of expert system diagnosis of diseases of pregnant women using the method of Backward Chaining that can help recognize diseases during pregnancy to take place based on the perceived symptoms of pregnant women as well as references that should be targeted by the patient. The methods of the Backward Chaining have a performance system that is capable of running the functional needs and high accuracy percentage results. With the existence of a system of experts on pregnancy problems that use the Backward Chaining method can describe the level of confidence of an expert on the problem at hand. Based on the test results, obtained results 100% functionality of disease diagnosis expert system of pregnant women worked in accordance with a list of system requirements and the system.
New Diversity Measures Based on the Coverage and Similarity of the Classification

In supervised pattern classification, it often happens that a single individual classifier is not able to meet the requirements of the problem. This is the main reason that leads to the successful use of systems composed of several classifiers (classifier ensembles) looking to obtain better results than a single classifier. The selection of the classifiers to be used is difficult due to its great variety and to the presence of necessary conditions such as the diversity between them to obtain the best possible results. Specifically, the diversity among the classifiers continues being a crucial factor in these systems and the way of measuring it in an effective way is still an open field. There are different measures in literature that help to decide if a group of classifiers is diverse. Some methods explicitly use these measures to obtain more effective classifier ensembles. The obtained results show it is possible to find combinations of classifiers that assure a superior accuracy compare to the best individual accuracy. In this paper, we propose two new diversity measures based on the coverage and similarity of the classification. Our objective is to measure the diversity in a different way in search of better results. We show several experiments where the behavior of the proposed diversity measures is analyzed. Also, we present the correlation that exists among the propose measures and other measures, including the classifier ensemble accuracy.
Phonological Errors in Reading Tawasul among Cirangrang Society, Bandung District

This research is a qualitative descriptive study with an analytical approach to errors in reading tawasul. This study aims to describe and analyze the form of phonological errors in reading tawasul and their causes, then formulate solutions to these errors so as to minimize errors and be able to read tawasul well, perfectly, and in accordance with the rules. The data in this study were obtained by free listening, recording, and writing techniques. They were done sequentially with several resource persons who became leaders in each activity that contained the reading of tawasul in it. From the results of observations, several errors were found in the form of addition, subtraction, and substitution of letters, tasydid, and mad signs. Additionally, some spelling errors were also found due to similarities in pronunciation, such as the letter ع becomes أ, letter ض becomes ظ, خ letter becomes ح, letter ش becomes س, and letter ق becomes ك.