Reviewerly/exHarmony huggingface dataset:
Informed Deep Learning for Epidemics Forecasting

The SARS-CoV-2 pandemic has galvanized the interest of the scientific community toward methodologies apt at predicting the trend of the epidemiological curve, namely, the daily number of infected individuals in the population. One of the critical issues, is providing reliable predictions based on interventions enacted by policy-makers, which is of crucial relevance to assess their effectiveness. In this paper, we provide a novel data-driven application incorporating sub-symbolic knowledge to forecast the spreading of an epidemic depending on a set of interventions. More specifically, we focus on the embedding of classical epidemiological approaches, i.e., compartmental models, into Deep Learning models, to enhance the learning process and provide higher predictive accuracy.
Mathematical Solution of ULTE Based Salt Generation Password Based Key Derivation Function (PBKDF)

In modern life, users use the cloud spaces for storing important data and valuable information. To avoid security problems, every cloud storage provider requires help from several security mechanisms. Every mechanism has its own security scheme. Most of them use the PBKDF (Password-Based Key Derivation Function) and Salt for generating encryption keys. By analyzing, we found that unique and random Salt plays a vital role for generating keys. But to create powerful keys, we must avoid pseudorandom generators for making salt because hackers can easily crack the key by using it. We have to take inputs from beyond expected sources. We proposed an algorithm by which we can generate Salt by using the client’s real-time environmental information known as Location Information of user, User Time Information with Entropy Data at key generation time. In this paper, we focus on simulation result and compare each algorithm with the proposed algorithm ULTE. Simulation result represents the whole statistical distribution as stated in the algorithm. The result shows that ULTE has provided excellent performance than other algorithms.
Development of E-Office Information System in Administration Faculty of Engineering, State University of Padang

Office management plays a very important role in an organization or institution that provides many information and data management services. As a result, management services often have time, energy, and cost inefficiencies. Therefore, we need an information system that can support the management process so that it can be executed effectively and efficiently. The method used to develop this system is the method of software development using the DevOps (Development and Operations) development model. This model consists of several stages including the planning stage, the needs analysis stage, the design stage and the implementation stage. This model allows system administrators to integrate with IT professionals during the system development process. This system architecture is based on Model-View-Controller, which uses the Yii2 framework in the PHP programming language. The result of this final project is the creation of an E-Office information system that includes several services such as human resources and student affairs. This information system is expected to reduce problems and improve the process of government services.
Ethical Climate: Analyzing the Moderation Effect on Cardinal Virtues and Employees’ Cyber Security Ethical Behavior Intention in Ugandan Commercial Banks.

Purpose: Ethics is the last issue that organizations ponder about when planning cyber security strategies. Yet Ethical behaviors have a big impact on the interactions with software and technology. The lack of employees’ cyber security ethical behavior and a weak ethical climate have encouraged security violations in the banks. Employees organize over 90% cyber security breaches and even cooperate with external attackers to cause havoc. This research aimed at understanding the moderation effect of Ethical Climate on the influence of the ethical virtues and cyber security ethical behavior in the central Ugandan commercial banks.&#x0D; Methodology: Ethical climate theory provided the conceptual framework for this study. The quantitative survey method utilizing an online questionnaire was used. Data was obtained from a sample of 240 commercial banks’ employees drawn from Centenary and ABSA banks’ branches in central Uganda. Partial Least Squares Structural Equation Modeling was used to test for casual relations between the study’s constructs. The data was analyzed and the hypothesis tested using Mod graphs.&#x0D; Findings: The results reveal that ethical climate effect on temperance, courage, prudence and justice was positive but insignificant. All the lines of the mod graphs were parallel meaning that the slope and the influence of cardinal virtues on cyber security ethical behavior intention is the same at all levels of the ethical climate. Inferring that Ethical climate does not moderate the influence of cardinal virtues and cyber security ethical behavior. Ethical Climate on the other hand had a positive and significant influence on cyber security ethical behavior. An increase in ethical climate positively influences an increase in cyber security ethical behavior.&#x0D; Contribution to theory and Practice: This research makes a theoretical contribution in promoting ethical climate as a theory that has a positive effect on employees’ cyber security ethical behavior. The research further provides a significant understanding to Ugandan banks administrators, policy makers and cyber security policy implementation committees of the substantial positive influence of Ethical Climate on connection between Virtue ethics and employees’ cyber security ethical behavior.&#x0D; Recommendation: The study recommends that the banks need to establish strong ethical climate to allow employees to continue observing cyber security ethical conduct. When the ethical climate is strong, employees experience a lesser amount of force to breach the banks’ cyber security.
Pengembangan Media Podcast untuk Pembelajaran Dialog Bahasa Jawa Kelas VII di SMP Negeri 3 Semarang

Curriculum 2013 Javanese language level basic competency dialogue/conversation prioritizes the verbal ability of students. Unggah-ungguh requires more refraction and understanding to be applied in a real conversationThis indicates that listening media such as relevant for the learning process of dialogue/conversation. This study aims to, (1) identify the needs of educators and students to podcast media for learning dialogue Javanese language grade VII junior high school level, (2) develop a prototype form of podcast media for learning dialogue Javanese language grade VII junior high school level, (3) describe the results of expert validation of podcast media for learning dialogue Javanese grade VII junior high school level. This type of research is Research and Development (R&amp;D) with five stages. The results showed that educators and students need podcast media for learning Javanese dialogue. This research successfully developed a podcast-based learning media with the title Podcast Pak Jaka "Pacelathon Kawruh Jawa lan Kabudayan". The research products then assessed by material and media experts. The results of these assessments are used as a basis for improving media to be appropriate for use in learning.&#x0D; Keywords: learning media, podcasts, pacelathon, Javanese dialogue.
Pengembangan Literasi dalam Buku Teks Panggelar Basa Sunda Untuk SMA/SMK/MAK Kelas XI

&#x0D; &#x0D; This research was motivated by the discovery of literacy development contained in Sundanese language textbooks at the SMA/SMK/MA/MAK equivalent level. This literacy development is important to be studied further, so that it can be used as a model in the application of literacy development to students. Based on this background, this study aims to describe the development of literacy contained in the Panggelar Basa Sunda text book for students of SMA/SMK/MA/MAK class XI. The method used in this research is descriptive qualitative by using literature study technique. The research data source is a Sundanese language textbook entitled Panggelar Basa Sunda pikeun SMA/SMK/MA/MAK students class XI 2013 revised 2017 curriculum, while the research data are 8 KD or 8 chapters contained in the contents of the textbook. After being analyzed, the textbook has criteria that are very feasible and easy to understand. The development of highly qualified literacy is able to support more competent, creative, productive resources and have high fighting values ​​in facing the era of globalization.
Kemampuan Calon Pendidik Bahasa Jawa dalam Menentukan Teknik Penilaian Pembelajaran Bahasa Jawa di Sekolah

&#x0D; &#x0D; Educational assessment is a process of collecting and processing information to measure the achievement of student learning outcomes. An assessment process that is carried out properly can have an impact on the learning process and can be a reference in determining further policies. The accuracy of the selection of the assessment method will greatly affect the objectivity and validity of the assessment results which in the end are objective and valid information on the quality of education. On the other hand, errors in selecting and applying assessment methods also result in invalid information regarding learning and educational outcomes. One of the competencies that must be mastered by prospective educators is an understanding of the process of assessing student learning outcomes, both theoretically and practically. The purpose of writing this article is to describe the extent to which the objectives of the Java Language Learning Evaluation lecture have been achieved, particularly in learning outcomes to study and select assessment techniques based on the basic competencies measured. This research was conducted at PGRI University Semarang, with the data source being 19 students in the 4th (fourth) semester of the Regional Language and Literature Education Study Program. The data in this study is the ability of students to examine and select or determine assessment techniques based on the measured basic competencies. Data collection techniques used are test and non-test techniques. Based on the data that has been collected, it is analyzed using the interactive analysis technique of the Miles and Huberman model which consists of the stages of data reduction (data reduction), data presentation (data display), and conclusion drawing/verification. Meanwhile, to measure the achievement of the objectives of the implementation of the Javanese Language Learning Evaluation course, a goals-oriented program evaluation model was used. The results showed that most of the students had a good understanding of the application of various types of learning outcomes assessment techniques, namely 57.8% of students got a score of 100, 31.5% of students got a score of 94, 5.2% of students got 89 and 5, 2% of students got 78. Moreover, in the psychomotor or skill domain, the results showed that 41.2% of students got a score of 100, 42.1% of students got a score of 75, and 16% of students got a score of 50.
Cross-Project Defect Prediction Method based on Feature Distribution Alignment and Neighborhood Instance Selection

&lt;p&gt;In the practice of software project development, the developed project is a brand-new project. Defect prediction for this type of software project requires the use of other similar projects (i.e. source projects) to collect relevant data to build a defect prediction model, and make defect prediction for the project under development (i.e. target project). However, the prediction model built with the relevant data of the source project cannot achieve the ideal prediction performance when predicting the target project. The main reason is that there is a large data distribution difference between the source project and the target project. The data distribution difference is mainly in the distribution of features between projects and differences between instances. In response to the above problems, starting from both features and instances, a cross-project defect prediction method is proposed. This method first aligns the feature distribution based on the data of the existing target project and the source project data. Then, it selects the labeled instance that is similar to the unlabeled instance in the target project, and finally builds a defect prediction model based on the selected source project instances. Cross-project defect prediction experiments were carried out on the Relink datasets and the Promise datasets. Compared with the classic instance-based cross-project defect prediction method, significant improvements have been made in F-measure and AUC; compared with the prediction of within project defect prediction, it has achieved comparable performance.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Pengaruh Gamification Terhadap Brand Engagement dengan E-satisfaction sebagai Variabel Mediator

Along with the development of technology, the implementation of gamification, namely bringing game elements in various fields, has been widely carried out, including in e-commerce or electronic commerce. The implementation of gamification is carried out for various purposes, such as getting consumers to be actively involved with a brand. This research was conducted on the implementation of Shopee Tanam gamification in the Shopee Indonesia application to explain whether there is an effect of gamification on brand engagement through electronic satisfaction or better known as e-satisfaction. The concept used is gamification with the dimensions of entertainment, interaction, and novelty; e-satisfaction related to convenience, customization, information, and communication; and brand engagement that includes emotional, cognitive, and social. This study uses an explanatory research method with a quantitative approach and uses a survey research method. The results obtained show that the implementation of Shopee Tanam's gamification can directly affect Shopee's brand engagement without being mediated by e-satisfaction with Shopee Tanam. However, mediated by e-satisfaction, the implementation of Shopee Tanam's gamification has a greater influence on brand engagement.
Using Cost-cognitive Bagging Ensemble to Improve Cross-project Defects Prediction

&lt;p&gt;Cross-project defect prediction (CPDP) is a field of study that allows predicting defects in software projects for which the availability of data is limited and produces generalizable prediction models. Due to the heterogeneity of cross projects, CPDP is particularly challenging and several methods have been employed to address this problem. Nevertheless, the class-imbalanced characteristic of the cross-project defect data also increases the learning difficulty of such a task but has not been investigated in depth. This paper proposed a novel, cost-cognitive ensemble method for CPDP, which includes four phases: bagging balanced resampling phase, base classifiers learning phase, cost value cognitive phase, and base classifiers ensemble phase. These phases create a composition of classifiers that are used for predicting defects. Results of an empirical evaluation on 10 datasets from the PROMISE repository indicated that our method achieves the best overall performance with respect to conventional methods. Moreover, our method could cognize the cost value automatically during the model training, it is shown to be more effective and practical.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Investigations on Deep Learning Techniques for Analysing Mammograms

Mammograms have been acknowledged as one of the most reliable screening tools as well as a key diagnostic mechanism for early breast cancer detection. Though mammography is a valuable screening tool for detecting malignant growth in breasts, its competence as a diagnostic tool is heavily reliant on the radiologists’ understanding. Automated systems are now widely used for detection of breast cancer. Image processing techniques were widely used in automated systems for classifying mammograms. Of late with the advent of deep learning (DL) where images can be processed directly for classification, the DL is widely researched for medical image classification. Basically, DL techniques are representation-learning methods which aid in understanding data like sounds, images as well as texts. DL algorithms have the ability to learn multiple levels of representation as well as abstraction. Residual network (ResNet) is given due consideration as a kind of highly advanced Convolutional Neural Networks (CNNs). This work has offered a potential application of Visual Geometry Group (VGG), Residual network (ResNet) and Inception based CNN model for differentiating the mammograms into the abnormal class and the normal class. Experimental results demonstrated that the deep learners are effective for classifying mammograms and Inception deep learner achieved the best accuracy of 91.49%.
THE ISSUE OF TECHNOLOGICAL DETERMINISM IN ARTISTIC PRACTICES: CULTURAL REFLECTIONS

The purpose of the article is to explore the importance of digital technology in the organisation of the creative process. The article analyses the methods of using digital technologies in cultural practices, highlights theoretical reflections on the meaning of technology in artistic creativity through the prism of the provisions of technological determinism. The research methodology is based on an integrated approach and a combination of several methods: analytical — to consider philosophical, sociological, cultural and art studies literature on the subject of research; theoretical and conceptual method — to analyse the conceptual and terminological system of research and identify the features of the introduction of digital technologies in cultural practices, as well as a comparative typological method — to compare the specifics of human activity and the functioning of mechanised equipment in the process of creating a work of art. The scientific novelty of the work lies in the fact that for the first time the features of using digital technologies, in particular artificial intelligence, in the process of creating artwork are considered, the provisions of the concepts of “technological determinism” and “singularity” are analysed (using examples of creating works of art through the use of digital technologies). Conclusions. As a result of the automation of the creative process, a decrease in human activity is revealed, which actualises the issue of the uniqueness of artistic work. Potential threats related to the misuse of digital technologies, in particular artificial intelligence, and people’s excessive trust in automated mechanisms are identified.
Analysis of Data and Virtualization Security in Cloud

Cloud computing is getting attention of the researchers these days. Large number of users are attached with cloud computing. But as there are several merits of cloud computing some demerits are also there. The one of the greatest threat in cloud computing is security. This security is concerned with data of the users that is present in cloud and is transferred across the clouds and the virtualization concept. In this paper several attacks on cloud are studied and solutions to those threats are compiled. In this paper a secure technique to handle data in cloud and secure virtualization is proposed in this paper. A secure VM migration technique which gives VM isolation guarantee and VM escape protection is proposed here. And it is shown that this security algorithm possess no considerable overhead.
Distance Learning Management Systems

The purpose of the article is to research, analyze and consider general problems and prospects for the development of management systems for learning processes with the ability to support distance learners using the latest technologies. The research methodology consists in methods of semantic analysis of the basic concepts of this subject area (management systems of educational processes). The article considers the approaches to the development and operation of the learning management system. The scientific novelty of the research is the analysis of the functioning of modern learning management systems and learning systems, the results of which can be used in the development of their own learning management system, which is relevant in today’s online learning environment. Conclusions. The paper considers well-known views on distance learning and analyzes modern information systems for distance learning management. Taking into account the results of the analysis, the authors decided to develop an information system for managing educational processes in distance education.
Cloud LMS of Statistic Data Visualization

The purpose of the article is to create a cloud LMS (Learning Management System) analysis and visualization of statistics. The research methodology is cloud information processing technologies. The novelty of the research is the implementation of a new training course on the use of modern means of data visualization in the form of cloud LMS. Conclusions. The material presented in the article gives a clear example of cloud technology usage in distance education. The materials of the training course “Information and Analytical Programs and Services” are implemented in the form of a cloud LMS based on the Google Classroom platform using a modern structure of material presentation.
Modern University Libraries as Centres of Communication: Scientific Aspect

The purpose of the article is to study modern university libraries as centres of communication through the prism of scientific and social aspects. Research methodology. To implement this task, some theoretical and general scientific research methods were used, among which we note the analysis, synthesis, induction and deduction, and concretization. Equally important was the method of comparison, which was used to compare the practice of using university libraries in Ukraine and other European countries. The method of abstraction used in the analysis of general theoretical approaches and the formation of recommendations for the use of university libraries in modern higher education institutions in Ukraine involves the ascent from abstract ideas to concrete facts. Scientific novelty. For the first time, an important and underestimated development vector of the scientific space of university libraries was noted, which will allow optimizing their activities in the future, transforming them from ordinary reading rooms into a creative scientific space, profitable and accessible to visitors. Conclusions. The article considers the peculiarities of the modern university libraries functioning through the prism of the communicative function. The main focus is on the transformation of the library space and its focus on modern requirements for the formation of creative “territory” for scientific conferences, including international, free exchange of views during student tournaments, excursions and celebrations, seminars or lectures, etc. It has been established that university libraries in modern conditions are universal institutions that perform much broader functions of information retrieval than previously thought. Until now, the academic community has not been sufficiently aware of this process. As the analysis of several projects has shown, in modern conditions it is possible to further develop this aspect.