Reviewerly/exHarmony huggingface dataset:
Model Aplikasi Pembelajaran Pengenalan dan Pencegahan Covid-19 Berbasis Game Edukasi

&lt;p&gt;Abstrak. Kurangnya pengetahuan mengenai pengenalan dan pencegahal covid 19 pada siswa sekolah dasar yang hanya bersumber dari para orang tua, guru, maupun sosial media, menjadi landasan untuk megembangkan aplikasi pengenalan dan pencegahan covid 19 berbasis Game Edukasi. Pengembangan aplikasi menggunakan metode &lt;em&gt;Multimedia Development Life Cycle&lt;/em&gt; melalui enam tahapan yaitu konsep, perancangan, pengumpulan bahan, pembuatan, pengujian, dan distribusi. Pengembangan animasi menggunakan &lt;em&gt;software Adobe Flash&lt;/em&gt; dengan &lt;em&gt;Action Script&lt;/em&gt; agar objek animasi menjadi lebih hidup, sedangkan efek suara untuk keperluan &lt;em&gt;backsound&lt;/em&gt; dibangkitkan melalui aplikasi &lt;em&gt;Adobe Audition&lt;/em&gt;. Adapun proses editing vidio menggunakan aplikasi &lt;em&gt;Wondershare filmora X&lt;/em&gt; yang cukup ringan namun mempunyai efek-efek vidio yang memadai. Struktur aplikasi mencakup fitur belajar melalui vidio tutorial berbasis animasi dan fitur kuis melalui Game. Hasil pengujian fitur-fitur fungsional pada aplikasi menunjukkan fungsi-fungsi pembelajaran dan fungsi kuis yang terdapat pada aplikasi telah berjalan sesuai dengan kebutuhan yang telah diidentifikasi.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kata kunci: &lt;/strong&gt;&lt;em&gt;Covid 19, Media Pembelajaran&lt;/em&gt;&lt;em&gt; Interaktif&lt;/em&gt;&lt;em&gt;,&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;Game Edukasi, &lt;/em&gt;&lt;em&gt;Multimedia Development Life Cycle&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;br /&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Abstract. The lack of knowledge about the introduction and prevention of covid 19 in elementary school students, which only comes from parents, teachers, and social media, is the basis for developing applications for the introduction and prevention of covid 19 based on educational games. Application development using the Multimedia Development Life Cycle method through six stages, namely concept, design, collection of materials, manufacture, testing, and distribution. Animation development using Adobe Flash software with Action Script so that animated objects become more alive, while sound effects for backsound purposes are generated through the Adobe Audition application. The video editing process uses the Wondershare Filmora X application which is quite light but has adequate video effects. The structure of the application includes learning features through animation-based tutorial videos and quiz features through games. The results of testing the functional features on the application show that the learning functions and quiz functions contained in the application have run according to the identified needs.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;: Covid 19, Interactive &lt;/em&gt;&lt;em&gt;Instructional&lt;/em&gt;&lt;em&gt; Media, Educational Games, Multimedia Development Life Cycle&lt;/em&gt;&lt;/p&gt;
Artificial Intelligence Machines in Medicine and Health Care Management

In medicine, as in many aspects of our lives, we are experiencing the implementation of software tools described as artificial ‘intelligence’ (AI) or, more precisely, machine learning (ML). These are systems built on a body of mathematics combining Bayesian probability modeling, rules, and neural networks (NN). This transformational technology is a cause for much optimism and concern. The change enabled by any new technology is naturally followed by a gradual appreciation of the impact, as optimism is gradually tempered by real experiences, often as we revise and refine our opinions in a dialectic manner. It takes time to understand the capabilities of these AI and ML tools before we can feel safe and comfortable working with them in critical tasks. These issues are discussed from various perspectives withe implications for the future of how we consider evidence in medical decision-making.
Position paper on The Use of Blockchain to Facilitate Physician Credentialing

This paper discusses about the use of blockchain technology and what is blockchain and how blockchain can be used in the healthcare. The paper focuses on the use of blockchain technology and how it will be beneficial for the physician credentialing process which would save thousands of hours of work for the physicians, surgeons, and as well as the stakeholders involved and will make the credentialing process more secure, efficient, and easy and less time consuming. It also includes in depth details about the functioning of the blockchain process and how it makes the whole process of credentialing easier. It also mentions about advantages of using blockchain for the credentialing system and how this advanced technology could be used to transform the credentialing process. The paper also highlights the potential benefits of blockchain and how it compares to the current process of credentialing which depends upon using outdated technology and is associated with high administrative workload.
Exploring Employee Engagement: Linkage to Organizational Performance in Local Manufacturing Organizations Based at Karachi

Human capital, rather than other financial resources, is now perceived to be an organization's asset and the best method for achieving organizational goals. In this digital environment, companies who invest in employee training, development, compensation, and engagement, gain a competitive advantage. This study looked into the effects of open communication, employeesupervisor relationships, training and growth, compensation and benefits, and the mediating influence of employee engagement on perceived organizational performance. The relationship between variables is examined using a qualitative method. The empirical findings of this study show that there is strong linkages among the variables under consideration, and the employee engagement has a major effect on organizational success. Based on our results it can be established that employee engagement is a continuous mechanism which is a highly business specific and plays a vital role in the growth of organizations.
Communication in the Age of Black Screens “...Whoever Looks at Me in Black Does Not Know Who I Am…”

"Why do we have the black screens (closed cameras) when we are at the zoom? This is the Millennium 'Dollar' Question. From my doctoral research: Communication in the age of black screen, I research the phenomenon of black screens when using zoom. I wish I could write one main reason responsible for closing the cameras and the appearance of the black screens phenomenon, because if there was one, then there would also be one solution and our (teachers) lives would be much easier. The reasons for closing the cameras are many and varied, including: socioeconomic, social, digital, psychoanalytic, multitasking and sometimes even boredom and lack of interest. The latter is also found in school but zoom has a seemingly democratic ‘delegitimization’ of choosing whether to be or not to be. Or in other words - whether to open the camera or not. (Although not always at camera closure the participant disappears). I will not expand in this article the discussion of the pros and cons of opening the camera when using zoom, although these are derived from the text, but will seek to reveal the mental mechanisms that work on zoom participants and how these mechanisms affect zoom communication and user experience. This article is about Zoom's Self-Representation. Keywords: self-representation, image, Zoom "
“My Street” – Project-Based Learning in Mathematics in First Grade

The current focus of education lies in the development of key competencies set out in the European Competency Framework, namely: communication in the mother tongue, communication in foreign languages, mathematical competence and basic knowledge in science and technology, digital competence, learning skills, social and civic competences, initiative and entrepreneurship, cultural awareness and creative expression. These are knowledge, skills and attitudes that help students achieve personal fulfillment and later in life to find work and participate in society. These competencies provide a connection between the personal, social and professional expression of modern man. The school is one of the places where these competencies can and should be developed. It is good to work on their development from an early age - at the elementary stage of education. Project-based learning is a powerful tool for competency development and personal integrity.
Quarantine Pass Tracer System

This research addressed the gaps encountered by the current contact tracing process used by the Municipality of Candijay as one of the measures to help combat covid-19. The current process starts with the issuance of quarantine passes and listing its details on the logbooks every time a resident passed on a quarantine control point. The problem is that the quarantine passes can be counterfeited, checking the quarantine passes and writing down the details into the logbooks are time consuming and tracking or the whereabouts of a quarantine pass is difficult to trace. The Bohol Quarantine Pass Tracer (QPass Tracer) is a system developed aiming to implement a contact less verification and validation of the issued quarantine passes with the use of QR codes, minimize the extra job done by the front liners in checking the quarantine passes, easily track the whereabouts of the quarantine pass holder, provide data transparency, provide data portability, view real time reports via dashboard. This is also designed to run both online and offline. and a self-made QR reader app which is specially design for QPass Tracer. The system project was carried-out using the agile scrum methodology of software engineering which steps are collecting user stories, project backlogs listings, task scheduling, development, daily stand-up meeting and product delivery. This system was implemented in the Municiplality of Candijay during the lockdown period. The 21 Barangays and the QCP personnel have benefited from the features of the system.
Different Structures of Neural Networks Training by Genetic Algorithm for Nonlinear System

In this paper, Artificial neural network training by genetic algorithm is applied to modeling the governor-turbine system using a big system test data.Three different data sets are used for training, testing and validation.The validation data used to stop GA training to prevent data over fitting.The studied system is a standard nonlinear thermal device implemented for stabilizing the system frequency due to load changes.Genetic algorithm is used to finding the optimum values for the weights and bias matrix of the fixed structure neural network, which provide the minimum error.Varying the model of the network can be fulfill by affecting the connections between neurons and the number of hidden layers.Different number of hidden layers with the same number of neurons are applied to determine the best structure for governor control problem.A comparative study is used for different neural network structures using mean square error and the time of optimization to achieve the best hidden layer frame.The studied system is represented by a set of nonlinear differential and algebraic equations.MATLAB software is implemented for solving the proposed system equations.
EXPERIENCE IN INTRODUCING SUSTAINABLE DEVELOPMENT IDEAS INTO ECONOMIC DISCIPLINES IN A GLOBAL PANDEMIC

The article examines the experience and challenges of integrating sustainable development into the learning process in the context of the coronavirus pandemic. Forced transition to distance learning required teachers to transform the entire learning process. The aim of the study is to analyze moodle experience using economic disciplines. The problems and successes of this process are analyzed, the contradictions between the traditional and remote form of education are shown. It is concluded that the possibilities of educational online content contribute to the accumulation, improvement and use of the database of electronic resources related to environmental issues. The inclusion of these resources in the content of economic disciplines contributes to the saturation of the software material with environmental aspects and key issues of sustainable development.
USING NORDIC WALKING IN THE EDUCATIONAL PRACTICE OF STUDENTS

The article presents the information about Nordic walking and its use in educational, training classes, as well as in free time in the style of «Nordic Walking». The data of the students ‘ motivation of Nordic walking classes are presented.
ExaLearn: Co-Design Center for Exascale Machine Learning Technologies.

appear poised to have important implications for the design and use of exascale computers themselves, including high-performance computing (HPC) for ML and ML for HPC. The overarching goal of the ExaLearn co-design project is to provide exascale ML software for use by Exascale Computing Project (ECP) applications, other ECP co-design centers, and DOE experimental facilities and leadership class computing facilities.
Countermeasures Against Military Cyber Threats in Accordance with Internet of Things-Based Defense Intelligence

The new world paradigm as brought on by the Fourth Industrial Revolution has initiated a change in a nation’s defense system, with cybersecurity now being recognized as a crucial to national security. As the scope of national security expands to include cyberspace, it is now necessary to protect both a nation’s physical and cyber space in order to secure national security and the people’s safety. As such, countries all over the world are seeking to strengthen their defense capacity and prepare reliable cybersecurity strategies by linking the private, public, and defense sectors at the national strategy level. South Korea’s military should also focus on reinforcing its national defense by establishing a cyber defense system that meets the rapidly changing security environment that applies the latest information and communication technologies, such as the Internet of Things. This paper suggests five areas in which Korea’s military may be able to actively lead its transformation by looking at various coping mechanisms against cyber threats.
Distributed Generalized Canonical Polyadic Decomposition.

the GCP decomposition on several real-world examples including interactions in a social network, neural activity in a mouse, and monthly rainfall measurements in India.
A New Uncertainty Measure and Application to Image Processing

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Different Types of Multi Class Classification Algorithms A Study

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Enhancing Chess Engine with a Personalized Quantitative Database

Designing chess engines have become a popular topic of computer science studying since 1997, when Deep Blue, invented by the IBM company, defeat Gary Kasparov in a 6-game match. Nowadays, chess engine designers improve their engines with more efficient neural networks, enhanced self-learning methods, complete databases of past games, and so on. However, what these designers ignore is the human’s perspective of playing chess. Different human players have different styles and preferences, and even when their Elo ratings are near, they may choose various options in the same situation. This human’s way of thinking is what modern chess engines do not consider, and I assume that their performance when playing against human players could improve by considering these different styles. What this research is attempting is to set up a personalized quantitative system based on previous games. The author’s and some other chess players’ understanding of chess would be added to create more enhanced standards for this quantitative system. After that, the system will be implemented to Stockfish, the best open-source chess engine in the world, by modifying its source codes. If the modified engine knows the opponents they are facing, it adds those quantitative statistics into analysis with a specific weight. Instead of directly calculates the best moves for a position, the engine chooses the moves that bring the hugest challenge for the opponent, and the moves chosen vary when the opponents change. Then, the performance of Stockfish will be compared to its original version, and verify whether the engine gets better. If the research is done successfully, both the designs of the chess engine and the methods for training human players would get improved.
Redesign of Unmanned Surface Vessel (USV) Hull to Increase the Performance and to Support Naval Operations

The Indonesian Navy's current unmanned vessel is the first unmanned ship made by the Indonesian Navy's Research and Development Service. This vessel is not optimal, it is necessary to redesign the hull using the model simulation method with the assistance of Maxsurf software. By using this maxsurf software, it will be easier to analyze hydrodynamic performance, one of which is the vessel's resistance. The redesign shows the results that there is a reduction in ship resistance. By redesigning, the hull of the Indonesian Navy's unmanned vessel by using the model simulation method with the assistance of the Maxsurf software in analyzing hydrodynamic performance, we get the resistance value at maximum speed. Meanwhile, the power required by the ship is at maximum speed so that the speed shows an increase in maximum ship speed, thereby fulfilling the operational requirements and producing good maneuverability. Therefore, it can be concluded that the ship after being redesigned can be better.
DISAIN FASILITAS PENDUKUNG KAYEHAN DESA ALAS JERINGO DI DESA PEDAWA

Kayehan Desa in Pedawa Village is a water source and public facilities that are used by all levels of Pedawa society. Kayehan desa located in a water source area in the middle of the forest, the condition of these public facilities are still not feasible and difficult to reach during the rainy season. One of the kayehan desa named Kayehan Desa Alas Jeringo has great potential to be developed under the community service activities in the PUU scheme in 2020. This paper will discuss the design of the supporting facilities needed by the village of Alas Jeringo so that it can function more optimally both in the dry season and in the rainy season. Qualitative methods that involve field observations, interviews and discussions are used to generate a suitable design concept that combines the designer's ideas and is able to accommodate the aspirations of the local community. SWOT analysis applied for this study. The results show that the appropriate design for the Kayehan Desa supporting facilities in Alas Jeringo uses the concept of tropical architecture and sustainable architectural design so that these facilities are able to provide good sustainable functions and can be used by local communities and visitors who come to visit in the long term. Moreover, with the concept of tropical and sustainable architecture, the design of supporting facilities does not damage the surrounding environment.
DIGITAL SCIENTIFIC AND EDUCATIONAL ENVIRONMENT AS A BASIS OF HUMAN RESOURCES FOR THE INDUSTRY

The article discusses the processes of digital transformation of the university in the field of training specialists for the digital industry. Authors сonsider a conceptual model of a digital university that reflects the interaction of student training levels with the requirements of modern industry.
Denoising of mammograms subject to structural and spatially-correlated noise: a virtual clinical trial

Image quality directly influences the accuracy of lesion detection and characterization in x-ray mammograms. Thus, it is crucial that acceptable image quality is maintained while using as little ionizing radiation as possible. In this scenario, denoising plays an important role in recovering image quality while keeping constant radiation dose. Although most ‘off-the-shelf’ denoising algorithms assume signal-independent and frequency-independent (white) Gaussian noise, in x-ray generation and detection this assumption is seldom valid. In this work we leverage a recently published variance-stabilizing transform and a frequency-dependent denoising algorithm to address signal-dependent and frequency-dependent denoising of x-ray mammograms subject to structural and correlated noise. To illustrate the application of the proposed pipeline, we restored synthetic mammograms generated by a virtual clinical trial platform. The results showed that the denoising pipeline was able to recover the quality of mammograms acquired at lower radiation levels to achieve similar image quality of full-dose acquisitions, in terms of the QILV, residual variance and power spectrum metrics. The bias<sup>2</sup> metric indicates that even though the pipeline is able to achieve very similar noise levels to a full-dose acquisition, there is a penalty to the signal, which becomes biased due to blur and smearing as the dose level is reduced.