Reviewerly/exHarmony huggingface dataset:
Coping with Teaching and Learning Creative Arts in Malaysian Public Universities in The Time of Covid-19 Pandemic

The unprecedented COVID-19 pandemic has disrupted the operation of Malaysian public universities and infinitely affected the way academics work.It is a devastating challenge where academics in the field of creative arts strived to cope with a transition from shifting face to face studio-based teaching and learning activities to online teaching and mentoring.This gave rise to a sudden change for them to carry out their administrative duties full-time at home and to re-adjust to alternative academic activities during the cordon sanitaire.This article describes the experiences and unusual situations faced by the academics, as well as their responses to this crisis in different dimensions starting from the initial stage of the Movement Control Order until the period they resumed work in the university office.The discussion proceeds with how the global pandemic has affected their teaching routine in the field of creative arts at present with a focus on music and film specialisations.This phenomenonderived ethnography significantly employs self-conscious observation along the online teaching process uniquely conducted for a few respective courses in designated Malaysian public universities when the pandemic-triggered disruption was experienced.With a discussion only limited to observation based on the data gathered for the teaching component, the authors hope to recommend a practical approach in reinvigorating academic practices during and post COVID-19 period.
Design Thinking

Book four of the American Library Association’s (ALA) Library Futures Series, Design Thinking proves to be a compelling book. With the print edition being only 59 pages, this seemingly quick read e...
FEATURES OF MODELING PEDAGOGICAL SYSTEMS IN THE INFORMATION SOCIETY

S. Arsaliev1, V. Pisarenko 2 1Chechen State Pedagogical University (RUSSIAN FEDERATION) 2Southern Federal University (RUSSIAN FEDERATION)
Multi-Factor Biometrics for Enhanced User Authentication in an E-Health System, Ghana

For most existing computer systems, once the user’s identity is verified at login, the system resources are available to that user until he/she exits the system. In high-risk environments such as healthcare or where the cost of unauthorized use of a computer is high, a dynamic check of the user’s identity is extremely important. This study evaluated the feasibility of multi-factor authentication with bio-metrics, incorporating both traditional and the time dynamics-based techniques of keystrokes (behavioral) and fingerprint swipes (user’s physical characteristics), for adoption into an eHealth system (DHIMS 2). The results indicate that individual authentication by Keystroke and Fingerprint dynamics yields acceptable results. However, when combined with the traditional methods of authentication, extremely high security is obtained than could be obtained by each paradigm acting independently. Hence, it is concluded that combining Keystroke and fingerprint dynamics with traditional authentication procedures into an eHealth system (DHIMS 2) will yield a system with improved account security and integrity of health information.
MamboNet: Adversarial Semantic Segmentation for Autonomous Driving

Environment semantic maps provide essential information for autonomous vehicles to navigate in complex road scenarios. In this paper, an adversarial network to complement the conventional encoder-decoder semantic segmentation network is introduced. A newly proposed adversarial discriminator is piggybacked to the segmentation network, which is used to improve the spatial continuity and label consistency in a scene without explicitly specifying the contextual relationships. The segmentation network itself serves as a generator to produce an initial segmentation map (pixel-wise labels). The discriminator then takes the labels and compare them with the ground truth data to further update the generator in order to enhance the accuracy of the labeling result. Quantitative evaluations were conducted which show significant improvement on spatial continuity.
Spatio-temporal variation level of heavy metals in surface water and sediment in Tagwai Lake, Minna, Nigeria

The high contamination of aquatic systems with toxic heavy metals is of major concern since the elements are not biodegradable. Heavy metals often get into the water through runoff from farmlands and dumping of effluents from industries into the water bodies. The toxicity of these heavy metals can cause harmful and even lethal effects on the human health. The objective of this study was to investigate the level of Pb, Cu, Mn, and Fe in both surface water and sediment of Tagwai Lake. Atomic Absorption Spectrometry investigation was carried out on the collected and digested water and sediment samples to determine the extent of these heavy metals contamination in the water. The results showed that the average concentration of heavy metals ranked in the following order: Pb&gt;Mn&gt;Cu&gt;Fe with higher concentration in sediment compared to the water. The correspondence of the mean concentrations of heavy metals in water and sediment of the Tagwai Lake with the WHO standard suggests that the mean concentration of Pb, Cu, and Fe lies within the standard range while Mn exceeds the standard range in both the water and sediments. We therefore advocate regular surveillance as a tool for monitoring impacts of anthropogenic activities in the lake to ensure safety of the general populace who depend on it for their livelihood.&#x0D; Keywords: spatio-temporal, heavy metals, sediments, Tagwai Lake
Interaction-free measurements and counterfactual computation in IBM quantum computers

The possibility of interaction-free measurements and counterfactual computations is a striking feature of quantum mechanics pointed out around 20 years ago. We have designed simple quantum circuits that realize both phenomena in real 5-qubit, 15-qubit and 20-qubit IBM quantum computers. In particular, counterfactual computation in its simplest form (Jozsa protocol) cannot be directly implemented in present quantum computers, requiring the design of a modified quantum circuit. The results are in general close to the theoretical expectations. For the larger circuits (with numerous gates and consequently larger errors), we implement a simple error mitigation procedure which improve appreciably the performance.
Implementing IceCube in SNOwGLoBES

We present an implementation of IceCube in the SNOwGLoBES package, which is used to calculate expected detection event rates resulting from supernova neutrinos.The SNOwGLoBES package is widely used to compare the sensitivity of different neutrino observatories, but currently does not include simulation files for IceCube.In this paper, we give a brief overview of the design process that went into this implementation.
A Blockchain-Based Secure and Sustainable Electronic Healthcare Record System

In today’s world, Data is the new gold. Data holds an exorbitant value in a plethora of areas. The increase in demand for data is directly proportional to Data Privacy. Blockchain is one of those technologies which helps in data privacy and facilitates data integrity and confidentiality. The healthcare sector is in constant need of data security, privacy, confidentiality and decentralization in electronic medical records. The objective of this paper is primarily to implement blockchain technology for electronic medical records and secondarily to provide secure storage of these records and define access rules for the users of the proposed system.
Diagnostics of the development of reflection of future educational psychologists

Modern innovative teaching technologies are guided by the reflective processes of the subject. In the process of professional training, a person is formed as a professional, which becomes possible only taking into account personal factors, which subsequently determine the development of professional reflection. Reflection is defined as a necessary part of a cognitive procedure and an important characteristic of an individual. The development of reflection in future teachers-psychologists is one of the urgent problems in the modern educational process. This article presents an analysis of the results of a stating experiment on the development of reflection in future teachers-psychologists to identify their ability to analyze and introspection, professional and personal self-development. To achieve the goals of the desired problem, we have identified the applicable methodologies that allow us to determine the levels of reflection development in future teachers-psychologists by components. The methods given by us in the article allow us to further develop an educational and methodological complex for the development of reflection in future teachers-psychologists.
DEVELOPING RUBIK’S CUBE VOCABULARY FOR ELEMENTARY SCHOOL

The Research and Development aimed to find out the target needs and the learning needs and develop appropriate English learning materials especially for using media in learning process for Grade 5 students at Elementary School of Muhammadiyah Gisting. The purpose of this study is to increase and develop the students’ vocabulary in daily activity. The product of this study is using two different types of rubik s, 2x2 and 3x3 rubik . In each rubik has a worksheet. Based on the material evaluation and implementation, the students can increase their vocabulary using these rubik and the rubik is so useful for learning process .
The heretic

"The Heretic" is the fourth real-time-cinematic project by director Veselin Efremov and producer Silvia Rasheva. It tackles one of the most significant artistic and technical challenges in CG animation today - creating photorealistic animated humans. While telling a story of how humans and technology eventually might merge, the Heretic is the team's first attempt to take on this technical hurdle. The production is combining an array of ground-breaking tech to obtain and maintain the aesthetics and high standards we are used to in conventional filmmaking.
BUSINESS STRATEGY DEVELOPMENT OF LANGUAGE SERVICE PROVIDER IN THE COVID-19 ERA

COVID-19 pandemic era stimulates a more competitive environment in the business of the language industry. Appropriate business strategy development to respond and to determine business direction become crucial for language service providers. The qualitative descriptive methodology applied to this study, and data for analysis was collected through interviews with the owner and CEO of Cakrawala Translation Service – one of the language service providers in Indonesia, which was established in 2000. Further analysis was conducted on the language industry micro and macro environment, key success factors of the industry, and business core competence. The strategy formulation was carried out through TOWS (Threat, Opportunity, Weakness, and Strength) matrix analysis. Results of the analysis shown Cakrawala Translation Service has several business strategy alternatives, which makes it possible to implement in order to embrace current and future business competition in the language industry. The business strategy alternatives are marketing penetration, updated technology, and uniqueness of service. The study results can be used to provide recommendations for language service providers to develop their business strategy in the COVID-19 pandemic era.
THE INVITATIONAL PERSPECTIVE AND CREATION OF EXTERNAL CONDITIONS IN THE EDUCATIONAL PROCESS

The aim of our study is to investigate the environment in which the academic educational process takes place. Apart from the informational content and some specific materials, we support the hypothesis according to which the teachers should be the initiators of the pedagogical communication format or environment. To facilitate meaningful learning and authentic student-centered education, it is necessary to promote specific conditions that favor transformation. From the perspective of the invitational rhetoric, a number of four external conditions have been proposed to create an environment favorable to ethical interaction: safety, openness, freedom and importance. Our study offers an articulated theoretical perspective and an auto-ethnographic exercise to clarify how to create external conditions for transformationand a genuine concern for the ethical in teaching socio-human disciplines in the university environment.The present study also seeks to explore how the four external conditions can be capitalized on and implemented in the context of emergency remote teaching, considering the new type of online interaction on the Zoom platform. Our study highlights both teachers' and students' perspective on the challenges they have to face in relation to teaching and learning remotely, based on interviews and questionnaire responses, in particular on the newly released comprehensive report "Analysis of online education through students' eyes. ANOSR recommendations". As the rapid transition to emergency remote teaching had negative impacts on student learning, engagement and mental well-being, the study makes recommendations on how the four external conditions can be used to improve the performance of teaching and learning activities, as well as both students' and teachers' general well-being.
SINGAPOREAN FLUE DETECTION WITH EXPERT SYSTEM IN SUPPORT BY JAVA JESS FRAME WORK

Singaporean Flue is a disease that attacks humans, therefore, an effort to improve people’s health is how to cope with this disease, starting from prevention, health improvement, data collection and medication (curative). To widen people’s knowledge about health, computer science is required to provide optimal, effective and efficient knowledge. The diagnosis of Singaporean Flue is still a problem now, because the etiology is still uncertain since the early symptoms are not typical, furthermore, it is difficult to distinguish between ordinary flue and Singaporean Flue. To help diagnosing the disease, in case of unavailable specialist, a computer-based system is needed that can provide an initial diagnosis based on symptoms of the disease. The system, which will be designed as a research, is expected to provide conclusions about the disease based on existing symptoms. One system that is widely used is a knowledge-based system. By using an Expert System that will be supported by Java Jess Frame work and forward chaining, a conclusion can be obtained. To strengthen the result, calculation is also done with the certainty factor method. Therefore, a final diagnosis is obtained. Keywords: Singaporean Flue, Disease, Expert System, Java Jess Frame
BLENDING MIMIND AND WHATSAPP TO ENHANCE STUDENTS’ READING COMPREHENSION ON NARRATIVE TEXT (An Action Research at First Grade of a Vocational High School in Cianjur)

Technology always presents in every aspect of life, including in education. Nowadays, in digital era learners can not be separated from gadgets. Automatically, in this digital era the teachers have to support themselves with some applications in transfering material in learning process. Mimind and WhatsApp are the example of the applications. The purpose of this research are to reveal to what extend blending Mimind and Whatsapp help the students in enhancing reading comprehension on Narrative text, to investigate the improvement of class situation in reading comprehension on Nnarrative text and to find out the obstacles faced by the students in enhancing reading comprehension on Narrative text by using Mimind and Whatsapp. The instruments used in this research were classroom observation, students’ test, and questionnaire. The site of this research was in SMKN 1 Pacet and the participants of this research were students of the first grade majoring in tourism industry. Classroom action research by Kemmis and Mc.Taggart with two cycles was applied in this research. The findings show that blending Mimind and Whatsapp helped the students in enhancing students’ reading comprehension on Nnarrative text about 8.82% in two cycles. The effectiveness of classroom situation is improved up to 23% in two cycles. Improvement was also seen based on the results from the observations that showed positivity and good responses from the students. The obstacle faced by the students in using Mimind and WhatsApp are internet connection and self-control during teaching and learning process such as open other applications. Both applications can help the students to make a digital mind mapping to develop reading comprehension on Nnarrative text
GAMIFIED LEARNING PLATFORM FOR INCREASING RECYCLING AWARENESS BASED ON MACHINE LEARNING TECHNIQUES

Tons of waste are generated in Europe each year and correlated with a growing number of bans and restrictions, coupled with stricter international rules on the export of certain waste to other countries, pollution and garbage remains a very important topic nowadays. There is a lot of concern about the impact of this waste on the environment and our health. Increased resource extraction, production and consumption generates waste that contributes to pollution of air, water, and soil, as well as general climate change and loss of biodiversity. Recycling helps reduce pollution caused by waste and everyone can help make our world a better place if we reuse what we can and recycle what we cannot.The current article proposes a web platform to educate children how to recycle, by offering attractive multimedia content and interactive rewarding games. The platform is innovative due to its complex technological stack, but most important it uses Tensorflow for implementing machine learning. Users can bring various objects in front of the computer webcam and the application detects them automatically, using the YOLO (You Only Look Once) algorithm. Then, the user has to drag-and-drop the virtual copy of the object into the correct virtual bin, gaining points for each correct virtual recycling action. Thus, this interactive game was considered attractive by children and not only. YOLO is an intelligent convolutional neural network (CNN) for performing object detection in real time. The algorithm "only looks once" at the image in the sense that it only requires one pass of forward propagation through the neural network to make predictions. After non-maximal deletion (which ensures that the object detection algorithm only detects each object once), it then generates recognized objects with bounding boxes. Various objects have been used to validate the accuracy of the detection algorithm in the platform, with great confidence, such as: fruits, organic (banana, apple, orange), plastics and metals (laptop, portable, remote control), paper (book), glass (cup, wine glass).The current study proves that real-time machine learning and image classification in a browser is possible and these modern technologies can be used to educate children and people in general to be aware of the impact of recycling to our wellbeing though an interactive gamified web platform.
When Your Wearables Become Your Fitness Mate

Abstract Acknowledging the powerful sensors on wearables and smartphones enabling various applications to improve users' life styles and qualities (e.g., sleep monitoring and running rhythm tracking), this paper takes one step forward developing FitCoach, a virtual fitness coach leveraging users' wearable mobile devices (including wrist-worn wearables and arm-mounted smartphones) to assess dynamic postures (movement patterns & positions) in workouts. FitCoach aims to help the user to achieve effective workout and prevent injury by dynamically depicting the short-term and long-term picture of a user's workout based on various sensors in wearable mobile devices. In particular, FitCoach recognizes different types of exercises and interprets fine-grained fitness data (i.e., motion strength and speed) to an easy-to-understand exercise review score, which provides a comprehensive workout performance evaluation and recommendation. Our system further enables contactless device control during workouts (e.g., gesture to pick up an incoming call) through distinguishing customized gestures from regular exercise movement. In addition, FitCoach has the ability to align the sensor readings from wearable devices to the human coordinate system, ensuring the accuracy and robustness of the system. Extensive experiments with over 5000 repetitions of 12 types of exercises involve 12 participants doing both anaerobic and aerobic exercises in indoors as well as outdoors. Our results demonstrate that FitCoach can provide meaningful review and recommendations to users by accurately measure their workout performance and achieve 93 % and 90 % accuracy for workout analysis and customized control gesture recognition, respectively.
Fundamental Limitations to the Scalability of Quantum Annealing Optimizers

Commercial quantum optimizers have been unable so far to demonstrate scalable performance advantages over standard state-of-the-art optimization algorithms. Multiple independent efforts continue to develop the technology, with the belief that larger optimizers with more coherent and densely connected qubits will be necessary to observe a quantum speedup. We point to two fundamental limitations of physical quantum annealing optimizers that we argue prevents them from functioning as scalable optimizers: their finite temperature and their analog nature. We numerically demonstrate that for quantum annealers to find the minimizing configurations of optimization problems of increasingly larger sizes, their temperature and noise levels must be appropriately scaled down with problem size. We discuss the implications of our results to practical quantum annealers.
Design of Normal distribution-based algorithm for solving systems of nonlinear equations

In this paper, a completely new statistical based approach is developed for solving the system of nonlinear equations. The developed approach utilizes the characteristics of the normal distribution to search the solution space. The normal distribution is generally introduced by two parameters, i.e., mean and standard deviation. In the developed algorithm, large values of standard deviation enable the algorithm to escape from a local optimum, and small values of standard deviation help the algorithm to find the global optimum. In the following, six benchmark tests and thirteen benchmark case problems are investigated to evaluate the performance of the Normal Distribution-based Algorithm (NDA). The obtained statistical results of NDA are compared with those of PSO, ICA, CS, and ACO. Based on the obtained results, NDA is the least time-consuming algorithm that gets high-quality solutions. Furthermore, few input parameters and simple structure introduce NDA as a user friendly and easy-to-understand algorithm.
Securing The Analysed Data Using Rjb21 Algorithm

The current world is information world; without this information can’t make due in present stage. This information created more from web- based media; this media information is public information; This public infor- mation did not have well security; so we applying the proposed method and it has 2 steps; 1.Addition property in matrix; 2. Using prime numbers in qua- dratic equations. The proposed method gives well security while comparing with Salsa method.