Reviewerly/exHarmony huggingface dataset:
Constructing Explainable Classifiers from the Start—Enabling Human-in-the Loop Machine Learning

Interactive machine learning (IML) enables the incorporation of human expertise because the human participates in the construction of the learned model. Moreover, with human-in-the-loop machine learning (HITL-ML), the human experts drive the learning, and they can steer the learning objective not only for accuracy but perhaps for characterisation and discrimination rules, where separating one class from others is the primary objective. Moreover, this interaction enables humans to explore and gain insights into the dataset as well as validate the learned models. Validation requires transparency and interpretable classifiers. The huge relevance of understandable classification has been recently emphasised for many applications under the banner of explainable artificial intelligence (XAI). We use parallel coordinates to deploy an IML system that enables the visualisation of decision tree classifiers but also the generation of interpretable splits beyond parallel axis splits. Moreover, we show that characterisation and discrimination rules are also well communicated using parallel coordinates. In particular, we report results from the largest usability study of a IML system, confirming the merits of our approach.
The Impact of Bitcoin Halving Day on Stock Market in Indonesia

This study aims to determine the impact of the bitcoin halving day phenomenon that occurred on May 11, 2020, on abnormal return and trading volume activity on listed firms of index LQ45 on the Indonesia Stock Exchange. At the bitcoin halving day, there was a jump in the price of bitcoin and other cryptocurrencies. Based on the event theory, the researcher wanted to find out whether capital market investors in Indonesia tend to switch investment instruments to the cryptocurrency market with this phenomenon. These data were taken weekly for four weeks before the halving and four weeks after the 5-month halving. Using the Paired sample T-test to determine whether there is a difference in abnormal return and trading volume. The results showed that there was a significant difference between stock price’s abnormal return and trading volume before the halving day and after the bitcoin halving day. The abnormal return did not increase, but the trading volume decreased, which is thought to be due to the halving day
Urgensi Media E-Comic dalam Pembelajaran Sosiologi di SMA

The development of information technology in the 21st century has resulted in various changes in society, one of which has occurred in the education sector. The 21st century is also called the era of the industrial revolution 4.0, where life is getting faster and more open. In order to adapt to this century, humans need life skills called 21st-century skills. To acquire 21st-century skills, learning must be adaptive to developments because information technology is fundamental and must be mastered and applied in the learning process. This study aims to determine the need for e-comic learning media in sociology subjects. This study uses quantitative research methods with research subjects of class XI IPS students with a sample of 35 people and two sociology teachers. The instrument used in this research is a questionnaire. The observational data analysis technique was used in the form of quantitative data, which was obtained from a questionnaire analysis of the needs of E-comic learning media for students and teachers. The analysis of the data was carried out descriptively. Based on the questionnaire, it is known that the teacher has never used e-comic learning media. The results showed that the need for e-comic media for students was 99.36%, and for teachers, it was 100%. In conclusion, students' needs for e-comic learning media in sociology subjects must be considered and fulfilled so that the learning process can run optimally.
Pengembangan Komik Matematika Digital pada Materi Aritmetika Sosial Kelas VII SMP

This research was a development research which was aimed to producing a new product in the form of digital mathematical comic. Digital mathematical comic developed through four stages according to the 4D model procedure which are define, design, develop, and disseminate. The instrument in this study was a questionnaire used to assess the feasibility of comics and student responses. The feasibility of comics was assessed by 2 lecturers as media experts and 2 teachers as material experts. The media expert’s give an average score of 70.50 out of a total average of 80.00 with very feasible category and the material expert’s give an average score of 48.00 out of a total average of 52.00 with very feasible category. Subsequently, a trial was conducted on 26 seventh grade students at SMPN 8 Mataram. According to the student response questionnaire an average score of 14.27 was obtained from a total average of 15.00 with very feasible category. So it can be concluded that digital mathematical comics are declared very feasible for use in math learning in the classroom.
GENDER MATTERS IN FINANCIAL INCLUSION, BUT WOMEN IN MANAGERIAL POSITIONS MAKE A DIFFERENCE. EVIDENCE FROM THE NAMIBIAN ENTERPRISES

Purpose: The paper examines if gender matters in the financial inclusion in the enterprises of Namibia.&#x0D; Methodology: Using the Namibia Enterprise Survey Database (NESD) 2014/2015, which was collected from 580 enterprises by the World Bank, the paper tests a null hypothesis that there is no association between gender and financial inclusion in the Namibian enterprises.&#x0D; Findings: The article finds out that there is no difference between women’s and men’s top-managed enterprises in having a Cheque and saving accounts. It is also established that women have more access to mobile money facilities compared to men, on the one hand, and men have more accessibility to credit and loans compared to women, on the other hand. Such findings imply both an institutionalized gender financial inclusion divide and institutionalized financial inclusion equality between women and men’s top-managed enterprises in Namibia. Hence, gender matters.&#x0D; Unique Contribution to Theory, Policy and Practice: The gender theory that women are victims in their conditions and positions with regard to men is not always applicable because women in positions of power are more strategic and have capacity and agency to influence processes. With preferential treatment to men, there is need for concerted efforts to invest in mobile money literacy and numeracy and the promotion of perceptions and attitudes that will lead to the use of mobile money technologies; with preferential treatment to women, there is need for policies to promote sharing of the risks of the cost of borrowing and also to promote entrepreneurship in the use of loans.
A model of the professional field as the basis for an adaptive educational process

Objectives. The main purpose of the work is to study the advantages of an activity-based approach, or functional approach in comparison with a subject-based approach, or lecture-based approach for creating a model of a professional field for adaptive educational process. The relevance of the problem being solved is caused by due to the fact, that adaptive educational technologies, thanks to the extensive computerization and informatization of all spheres of human activity, as well as the innovative development of artificial intelligence, have become dominant in teaching systems at all levels, from preschool to higher education institutions. Without a highly effective model of the professional field, it is impossible to successfully implement adaptive learning. Methods. To achieve the goals and to prove the statements formulated, the method of comparative analysis of the most widely used ways for creating models of the professional field for adaptive learning in modern systems, was used. To do this, we studied: the effectiveness of using the traditional approach, which is based on subjectspecific or lecture-seminar signs of structuring educational material; as well as the effectiveness of using an activity-based approach based on the concept of "Modules of labor competencies" for the formation of educational material. Results. The analysis of the quality of educational material (a model of a professional field for an adaptive educational process) obtained using the traditional approach, and educational material (the same model for its intended purpose) obtained on the basis of an activity approach in accordance with the concept of "Modules of labor competencies". The results of the analysis are compared and theoretical statements are summarized, taking into account the examples of developed modular materials, as well as the pilot implementation of previously developed modular programs. Conclusion. The information given in the article can be useful for specialists, researchers and heads of educational institutions of various levels, when planning and creating adaptive learning systems. The conclusions and recommendations fully comply with the requirements of the development of the education system of the Republic of Belarus.
Development and Assessment of Augmented Reality Technology for Using in an Equipment Maintenance and Diagnostic System

This study presented work considering the development and initial assessment of an augmented reality approach to provide a user interface for operators that could be a part of an equipment maintenance and diagnostics system. Its purpose was to provide an equipment system for graduate students of engineering and technology to experiment with the design of augmented reality technology. The proposed system took place three hours per week over a period of four weeks of corrective actions that were triggered in the Department of Industrial Education and Technology at the National Changhua University of Education, Taiwan. The students adopted augmented reality technology to achieve big data acquisition and analysis for pre-diagnostic and maintenance applications. Preliminary assessment of the proposed system was encouraging and showed that it achieved success in helping students understand concepts and using augmented reality technology for equipment maintenance and diagnostics. The study provided important initial insights into its impact on student learning.
Re-Label By Data Pattern Is All You Need For Knowledge Driven Deep Learning

&lt;p&gt;In industry deep learning application, we should fix the badcase after we achieve more than 95% accuracy at dev dataset. The badcase reason is from the wrong rule/knowledge of human labeling and will cause low accuracy under human evaluation. In this paper, we propose the pattern-based method to fix the badcase for industry application inference. We propose the pipeline to solve the problem and improve the accuracy of human evaluation. The experiment results verify our idea, which means label-edit is the method to implement controllable deep learning application.&lt;/p&gt;
Web-based traffic signalisation databank application of traffic signalisation on Slovene national roads – WEPS

Web-based traffic signalisation databank application of traffic signalisation on Slovene national roads -WEPSThe Slovenian Infrastructure Agency and the Motorway Company in the Republic of Slovenia operate and maintain road infrastructure on Slovene national roads network.Part of the road infrastructure is traffic signalisation, which must be set up in a manner providing road users with essential traffic informations to ensure traffic safety.There are 219,120 traffic signs and 235,584 road markings set up on the Slovene national roads with a total length of 6,541 kilometres.Traffic regulation changes hereby traffic sign replacements are dynamicand must be persistently recorded.Web-based GIS traffic signalisation databank application -WEPS (Web Traffic Signalisation databank) was developed, which enables the successful and effective management of traffic signs, road markings and events related to traffic signalisation database.
Aktivitas dan Prestasi Belajar melalui Penerapan Metode Permainan di Kelas V SD N 09 Batang Anai Kabupaten Padang Pariaman

The objectives of this Classroom Action Research (CAR) are to improve students' mathematics learning activities, and 2) to improve the mathematics learning achievement of students. The research was carried out in two (2) cycles each consisting of two (2) meetings through the following stages of planning, observation, and reflection. The results obtained from CAR through the game method model showed an increase in the results of student activities, especially in activities to prepare places, materials, and tools by 54,71 %, activities to express ideas by 65,12 %, and for activities to read game rules and books experienced by 73,02 %. Based on the student's mathematics learning achievement data, the average grade in cycle 1 was 65,12, increasing to 71,91 in cycle 2. The percentage of students who achieved the standard of completeness also increased in cycle 2 by 87,18 % (good category), increasing to 100 % (special category) in cycle 2.
A Novel Artificial Jellyfish Search Algorithm Improved with a Differential Evolution Algorithm-Based Global Search Strategy

Metaheuristic algorithms are algorithms inspired by natural phenomena and that are used to decide which possible solution is more efficient to solve a problem. Although these algorithms, whose numbers are increasing day by day, do not guarantee the exact solution, they promise to reach a solution around the exact solution quickly. Artificial Jellyfish Search Algorithm (YDA) is also a new metaheuristic algorithm proposed in 2021. In this study, a modification has been made to the global search part of the standard algorithm in order to improve the global search capability of YDA. Accordingly, the "current-to-best" approach, which is one of the successful mutation strategies in the Differential Evolution Algorithm, has been integrated into the global search method of YDA. The advanced algorithm (MYDA) obtained as a result of this modification has been tested for 10,30,50,100,500 and 1000 dimensions on a total of twelve benchmark functions, seven of which are uni-modal and five are multi-modal. In addition, MYDA has also been compared with algorithms selected from the literature. The results have been interpreted with the help of statistical tests. When the results obtained are examined, it has been determined that the proposed algorithm outperforms the standard algorithm for all dimensions in all functions. In the comparison with the literature, it has been determined that the algorithm produces successful and competitive results.
Enhancement of Images with Very Low Light by Using Modified Brightness Low Lightness Areas Algorithm Based on Sigmoid Function

Enhancement of images with very low light has become an important role in the field of digital image processing, especially during night photography, tracking and medical imaging using binoculars. In this study, a new algorithm was proposed to enhance images with very low light on the basis of the development of brightness low lightness areas algorithm with the treatment of lighting component (Y) by using Sigmoid function in accordance with YIQ colour space. The proposed method was compared with several algorithms as (contrast enhancement approach, multi-scale retinax with color restoration, histogram equalization, fuzzy logic based-on sigmoid membership function, second-order Taylor series approximation and parallel nonlinear adaptive enhancement) by using non-reference quality measures on the basis of LIME data. Results showed the success of the proposed method on improving images with very low light, obtaining the best quality values rates of Entropy (6.81), NIQE (3.46) and PIQE (35.87).
Yüksek Faydalı Öğe Kümeleri için Veri Madenciliği Algoritmalarının Analizi Üzerine Bir Anket

High-Utility-Itemset Mining (HUIM) is meant to detect extremely important trends by considering the purchasing quantity and product benefits of items. For static databases, most of the measurements are expected. In real time applications, such as the market basket review, company decision making and web administration organization results, large quantities of datasets are slowly evolving with new knowledge incorporated. The usual mining calculations cannot handle such complex databases and retrieve useful data. The essential task of data collection in a quantifiable sequence dataset is to determine entirely high utility sequences. The number of sequences found is always extremely high, though useful. This article studies the issue of the mining of repeated high utility sequence that meet item restrictions in order to identify patents that are more suited to the needs of a customer. Also, this article introduces high-value element set mining, examines modern algorithms, their extensions, implementations, and explores research opportunities.
Solar radiation performance adjusting to PV system

The first section of this paper presents the conditions of solar radiation orientation in Kosovo. The sheer existence of the sunlight is indeed an inexhaustible source of renewable energy having ample potential to meet all humankind’s needs for it when innovative technology is used in compliance with modern standards appropriate to economic and social environment and to the nature itself, too. The research conducted for the purpose of the present paper reveals that the greatest amount of radiant energy is focused on the absorber of the collector sensor which transmits the entire moving space at right angles to the sunlight. It is important to note that the collector angle in relation to the horizontal plane cannot be less than 20°, because there is a possibility that the collector, due to the small angle, is covered in dirt and aerosol pollution. These data ensure that best performance in high generation efficiency is reached by improving harnessing patterns in solar cell response. The objective of the Kosovo Plan in 10 years’ period has stimulated the support policy for renewable energy sources, set to be at least 10% at the national level. This paper examines radiation efficiency assessments under sensor monitoring over the absorption space where all time, high absorption power PV system panels are located. Experimental study shows that Kosovo has radiation potential due to its Geographical position equal to 1400kWh, with the optimal sensor orientation angle of 25° in the Gjakova Region. The solar radiation efficiency for one-year period has resulted in increased performance under sensor monitoring during the months of March - September, from 0.89 kWh/m2/y to 0.92 kWh/m2/y, when the equinox provides the longest sunlight intervals.
SAAC - Kriptosistemlerin analizi için istatistiksel mutlak çığ-etkisi kriter testi

Cryptosystems using binary radix (bit) arrays must first meet the strict avalanche criterion, which prevents correlation between input and output values in order to resist differential attacks. For this criterion, which is also called confusion/diffusion and butterfly-effect in the common literature, it is expected that two inputs with only one-bit difference from each other will cause half the total number of bits to differ in the output bits. While the literature includes the difference of at least half of the output bits, it does not include that changing all the bits will cause the binary complement and thus another undesirable result. The Statistical Absolute Avalanche Criterion (SAAC) test proposed in this study allows the statistical determination of a lower limit and the establishment of hypotheses. The SAAC test is a tool that can be easily used in the analysis of cryptosystems, especially encryption methods and message hash functions.
Inheritance Sharing Expert System

&lt;p&gt;One of the computer-based information systems is a website, usually this web information system is in offline or online form. Dissemination or delivery of information carried out on online information systems can be accessed by anyone and anywhere with the provision that they must have an internet connection. The purpose of this study is to provide a solution through the study of several theories and observations in the design of a web-based inheritance distribution expert system. The author uses the forward chaining method in designing an expert system. The application development methodology that I use is the ESDLC (Expert System Develop Life Cycle) method. The expected result of this research is the creation of an application design that can simplify the process of calculating inheritance in accordance with Islamic perspective because inheritance is often crucial which sometimes triggers disputes and causes rifts in family relationships and crime. Therefore we need an expert system that can assist in performing calculations.&lt;/p&gt;
Android-based English education application

&lt;p&gt;Current technological developments continue to be rapid and science continues to advance, requiring guidance as an educational medium. Learning education will be easier to teach to elementary school children. Educational content is highly preferred by android users. Learning media always face developments along with rapid technological developments. The MDLC method is a suitable method for designing and improving a media application which is a combination of photo, sound, video, animation and other media. The MDLC method has six stages as follows: Concept, Design, Material Collecting, Assembly, Testing and Distribution. Android-based educational applications can only be used by Android-based mobile phones. And to learn educational applications as an Android-based learning media is easier, more practical, and efficient. It is hoped that educational applications as learning media for elementary school children can help in mastering and pursuing each of the subjects contained.&lt;/p&gt;
Software Testing Based on McCall's Quality Theory on Academic Information System Study Plan Cards, Universitas Muhammadiyah Purwokerto

&lt;p&gt;The development of technology is currently growing rapidly, one of which is in the manufacture of software and information systems. But often software that is made or developed to meet basic functional needs only, there are several qualities that need to be considered that will determine the quality and performance of the software built. University of Muhammadiyah Purwokerto is one of the universities in Purwokerto that has used an Academic Information System, one of which is the Study Plan Card, in which there are sub menus to meet the academic needs of students. Testing the quality of the UMP KRS is based on McCall's quality theory, the McCall method has the most complete and in-depth criteria, there are several aspects that are studied in the McCall method. This study focuses on product operations, namely factors related to the nature of software operations with 5 quality factors. The purpose of the test is to determine the quality and utilization of the KRS system at the University of Muhammadiyah Purwokerto, so that errors or problems that occur in the system can be identified which will be corrections for developers to improve the performance and quality of the KRS system that has been made, the average results obtained The quality of the UMP KRS is 46.68% which is in the fairly good category, with the highest factor being the integrity factor 71.6% which is in the good category, while the lowest quality factor is efficiency with a percentage of 26.48% which is in the poor good category.&lt;/p&gt;