Reviewerly/exHarmony huggingface dataset:
Intelligence Shoes - Sneakers King Sdn. Bhd. / Farah Diyanah Hairi

Massage plays an important role to all people in this world. Massage can bring some relieve of pain and improve blood circulation to become more healthy to the people. There are some issues among old and young people in having feet pain problem. Although there are some products in the market like acupressure slipper or massage foot machine but it is still does not meet the consumer’s requirement. Hence, Sneakers King Sdn. Bhd. wants to introduce a new product which is “Intelligent Shoes”. Intelligent Shoes is lightweight, portable, durable and easy to wear it as it use high quality of material and technology in making this product. The target market for the Intelligent Shoes are all young and old people in Malacca. Customers who are in the middle level economy to the higher level economy are our potential buyers. We are also focus on the people who are always have tired feet while doing some works and at the same time they want some relaxation on their feet after a long day at work. Other than that, we are focusing on people in the age between 18-70 years old who are high heel-lover, long run or walk, excessive physical activities and wrong posture during some activities. Since Veerapen, Wigley, and Valkenburg (2007) stated that Malaysia have statistic that shows the percentage of people who are having feet pain is higher, the demand to want massage on their feet is highly expected. So, we grab this opportunity to sell this product to retailers and wholesalers.
ON METHODOLOGICAL APPROACHES TO TRAINING FUTURE TEACHERS OF KAZAKHSTAN FOR UPBRINGING WORK

Globalization, informatization, digitalization, led to large-scale changes that have problematized the modern process of upbringing. The modern practice of upbringing in Kazakhstan is aimed at solving the problem of forming an intellectual nation. The key figure in the upbringing process is the teacher. The modernization of public consciousness taking place in Kazakhstan, the renewal of both the content of education and the system of upbringing require understanding not only the content, but also the methodology of the professional training of teachers for the upbringing of children, for the organization of the upbringing system in educational organizations. We believe that the analysis of traditional and clarification of modern methodological foundations of professional training of future teachers of Kazakhstan for upbringing work will give us the opportunity to develop a strategy for training future teachers in the conditions of spiritual renewal of Kazakhstan's society. The article reveals the experience of Abai KazNPU. As a result of the conducted research, we came to the conclusion that the process of training a teacher in Kazakhstan, who has a high degree of ethnic, cultural, and religious diversity, requires strengthening the upbringing and socializing components of the educational process of the university. The strategy of professional training of a modern teacher should be a polyparadigmatic concept with the leading role of ideas of personality-oriented, competence paradigm.
EzSports Enterprise / Mohamad Aidil Arif Adnan

EzSports Enterprise is a company that selling goods sporting equipment. The Agility Ladder is a product made for those individuals engaged in sporting activities. Our main objective is to succour people who loves to exercise and importantly, to achieve the performance to the standard expected by the customers and also exceed customer satisfaction. The target market for this product is for athletes. The Eztech agility ladder can compete with another company because the product has a sensor to count the step that the user made. The product idea is to allow athletes, coaches, and outdoor recreation people to recognise the issue during training. This product helps by using the sensor to count the move the consumer is making. We are providing sports equipment at lowest price. Correspondingly, EzSports Enterprise is here to provide people with great sporting gear. Our main target is to promote our sporting equipment and gain more profits by providing good and excellent product to customers that will eventually help to increase gross domestic product to the country, and to become a very well-known company all by people across the place later in becoming a successful in upcoming years. The business is based on partnership where it consists of five members which hold important positions in the company such as General Manager, Administration Manager, Operational Manager, Marketing Manager and Financial Manager. Every person has their own role and responsibilities towards the organization.
Isotonic Data Augmentation for Knowledge Distillation

Knowledge distillation uses both real hard labels and soft labels predicted by teacher model as supervision. Intuitively, we expect the soft label probabilities and hard label probabilities to be concordant. However, in the real knowledge distillations, we found critical rank violations between hard labels and soft labels for augmented samples. For example, for an augmented sample x = 0.7 * cat + 0.3 * panda, a meaningful soft label distribution should have the same rank: P(cat|x)&gt;P(panda|x)&gt;P(other|x). But real teacher models usually violate the rank: P(tiger|x)&gt;P(panda|x)&gt;P(cat|x). We attribute the rank violations to the increased difficulty of understanding augmented samples for the teacher model. Empirically, we found the violations injuries the knowledge transfer. In this paper, we denote eliminating rank violations in data augmentation for knowledge distillation as isotonic data augmentation (IDA). We use isotonic regression (IR) -- a classic statistical algorithm -- to eliminate the rank violations. We show that IDA can be modeled as a tree-structured IR problem and gives an O(c*log(c)) optimal algorithm, where c is the number of labels. In order to further reduce the time complexity of the optimal algorithm, we also proposed a GPU-friendly approximation algorithm with linear time complexity. We have verified on variant datasets and data augmentation baselines that (1) the rank violation is a general phenomenon for data augmentation in knowledge distillation. And (2) our proposed IDA algorithms effectively increases the accuracy of knowledge distillation by solving the ranking violations.
Prediction of Future Immediate Actions

Human action recognition and prediction are two of the important areas in computer vision. The researches and outputs are being used in various contexts like security surveillance systems, robotics and human-computer interaction. While human action recognition is a common research area, the prediction of human actions is still an area that needs more attention and research. The work in this paper focuses to design an easy-to-implement intelligent system to recognize humans/objects by using various basic object detection algorithms and predict their immediate future actions by training a model in neural networks as one of the main machine learning approaches. The system will predict the immediate future location of a moving object/human. The experiments that have been done are also provided step by step in this paper. The pieces of codes that have been used and the results of the experiments are provided as well
Klasifikasi Rumah Tangga Miskin Di Kecamatan Kaubun Tahun 2020 Dengan Menggunakan Metode Improved Chi-Square Automatic Interaction Detection

Classification was grouping samples based on similarities and differences by using categorical variables. The classification method used in this study was the Improved Chi-square Automatic Interaction Detection (I-CHAID) which was an improvement from the CHAID method. This research aims to provide an overview of poor households and classify poor households, and to compare the accuracy of the classification results for each data proportion. The data used is household data in Kaubun District in 2020 with poor and non-poor status. The results of this study indicate that there were 10 households with poor status, and households were classified as poor if the frequency of eating is less than 3 times a day, and the best classification accuracy results use the proportion of training data of 60% and testing data of 40%.
LibGuides: PathFinder: Browsing with PathFinder

A suite of browse and search tools for multidisciplinary, subject-specific research. PathFinder's unique browse tools.
Towards Large-Scale Super Resolution Datasets via Learned Downsampling of Ray-Traced Renderings

Delivering high resolution content is a challenge in the film and games industries due to the cost of photorealistic ray-traced rendering. Image upscaling techniques are commonly used to obtain a high resolution result from a low resolution render. Recently, deep learned upscaling has started to make an impact in production settings, synthesizing sharper and more detailed imagery than previous methods. The quality of a super resolution model depends on the size of its dataset, which can be expensive to generate at scale due to the large number of ray-traced pairs of renders required. In this report, we discuss our experiments training an additional neural network to learn the degradation operator, which can be used to rapidly generate low resolution images from existing high resolution renders. Our testing on production scenes shows that super resolution networks trained with a large synthetic dataset produce fewer artifacts and better reconstruction quality than networks trained on a smaller rendered dataset alone, and compare favorably to recent state of the art blind synthetic data techniques.
How We Leave: Migrating Library Publishing Platforms

Presented at 14th Annual Electronic Resources & Libraries Annual Conference in Austin, Texas on 4 March 2019
Analysis of financial frauds in electronic payment systems in India and China

This paper aims to study various fraud occurrences in India and China and their outcomes on the general public. Financial transactions have become easy since the invention of internet, but some miscreants called fraudsters are using it for unlawful activities which causes huge financial losses worldwide every year. The results of this research can be used by financial organizations around the world for customer’s awareness and education and also in making better policies for protecting the citizens and bank from financial frauds in respect of financial activities, geographical location and its usage. In both the countries used to conduct research the quotative data is being used to test the fraud occurrence model. The results from this research helps us in understanding different behaviors of customers regarding online transactions and frauds associated with them. It was noted that in China, the satisfaction level of customers was relatively less and service quality was not up to the expected mark in the majority of situations. After conducting this research, the study suggests that a number of areas for improvement in the near future, especially related to fraud detection. If we can research the problems from the financial institution side rather than the consumer’s side we can come up with better solutions to frauds as these institutions deal with fraud on a regular basis. The aim of the paper is to create a precise and statistical occurring globally and understanding of various frauds by using three approaches (geographical factors, IT usage and financial activities).
‘Word Cloud’ as a Graphical Supplement to a Scientific Article (Editor-in-Chief’s Column)

An ever-greater number of journals now not only publish text content but also try to provide graphical abstracts for manuscripts. A graphical abstract is a graphical presentation of the main conclusions of the paper. The figure can be taken from the paper or specially designed. At the same time, it should represent the content of the paper as much as possible and be understandable for readers. However, it is not always possible to create a graphical abstract, for example, for review and theoretical articles in the field of social and economic sciences. The editors of the Economic Consultant journal suggested publishing a “word cloud” as a graphical supplement to a scientific paper. Since 2019, the “word cloud” has been published for each paper. A word is a visualization of word frequency in a text. The font size of each word in the cloud is determined by its prevalence in the text. The word helps readers to understand what basic keywords and terms the author uses directly in the text of the paper. To present this visualization, the editors decided to use the service https://wordscloud.pythonanywhere.com/. The layout designer can process the paper, using only its text (without the title, abstract, and references). From 2020, the editorial board decided to publish such graphical supplements not only in pdf articles but also on the pages of journal articles. However, we understand that graphical supplements cannot substitute for graphical abstracts, and the development of the latter seems to us to be a promising trend in the development of the Economic Consultant journal.
Business Model Canvas : Automatic Dishwasher / Samihah Mohamad Yusoff

The Automatic Dishwasher designed to solve the customer problem that face problem to clean the dishes so we created Automatic Sponge that will move automatically so customers do not have to clean dishes manually. Automatic Dishwasher has Adjustable Button that will manage customers to adjust the speed so it is also user friendly. Sponge’s size improves to more thick so the dishes will be more clean. Place to refill detergent will enable user to clean dishes anywhere and anytime
Solving the Multi-Agent Path Finding with Waypoints Problem Using Subdimensional Expansion

Little to no research has been done on the multi-agent path finding with waypoints problem (MAPFW) even though it has many important real world applications. In this paper we extend an existing algorithm for the multi-agent path finding problem (MAPF) called M* \cite{New}. We do so by ordering the waypoints using a Travelling salesman problem solver before creating a policy for each waypoint and the target. Lastly we extend the underlying A* planner to keep track of the visited waypoints. This results in the new WM* algorithm which will be shown to be performing better than other recently created algorithms with respect to run-time while being optimal in the case of the ordered waypoint variant and near optimal in the unordered variant.
Engaging Learners in Online Classrooms: A Case Study from Nepal

Since the Novel Coronavirus (COVID-19) outbreak compelled many teachers and students globally to shift online, several unexpected circumstances have emerged. This research contextualized a current scenario with teachers and parents working together towards achieving meaningful learning in Nepal. A qualitative case study was employed as a research design to explore how to maintain collaboration and engagement in English as a Foreign Language (EFL) learning. Two English language teachers were interviewed to ascertain their perceptions about virtual classrooms. Similarly, two parents were interviewed separately. Parents Teacher Association (PTA) meeting was observed to triangulate the data. This study sought to gain insights into the perceptions of the participants and discovered that students' reactions to online classrooms were mixed; some were more motivated, while others demonstrated unsatisfactory concerns. However, good communication and collaboration with students using visual aids, music, and interesting topic talk related to lessons outside the textbook as supplementary teaching material helped teachers engage their students. Also observed was that teachers with digital literacy built better collaboration than the teachers struggling with digital competency.
SYLLABUS DESIGN OF SPEAKING SKILL MATERIAL BASED CONTEXTUAL APPROACH

The purpose of this article is to describe an example of a syllabus design for teaching contextual-based English speaking skills in the Elementary School Teacher Education Department at a university in Indonesia. The design is developed within a relevant theoretical framework, such as syllabus design, language teaching and assessment. The syllabus is designed to contain goals, skills and tasks. The syllabus design uses a student-centered approach. The syllabus prioritizes student needs in learning foreign languages. The syllabus integrates three types of syllabus, namely by topic, structural syllabus, and task-based syllabus. The syllabus design covers all selected topics and grammar items are identified from the needs analysis and used to develop teaching materials. The syllabus can provide guidance in teaching and is used as a reference in designing a contextual-based English speaking syllabus.
A Stochastic Time-Series Model for Solar Irradiation

We propose a novel stochastic time series model able to explain the stylized features of daily irradation level data in 5 cities in Germany. The model is suitable for applications to risk management of photovoltaic power production in renewable energy markets. The suggested dynamics is a low order autoregressive time series with seasonal level given by an atmosphericclear-sky model. Moreover, we detect a skewness property in the residuals which we explain by a winter-summer regime switch. The stochastic variance is modelled by a seasonally varying GARCH-dynamics. The winter and summer standardized residuals are proposed to be a Gaussian mixture model to capture the bimodal distributions. We estimate the model on the observed data, and perform a validation study. An application to energy markets studying the production at risk for a PV-producer is presented.
A Study on the Need of Redefining Child Abuse and Redesigning New Responses to It — Through the Revision of Child Welfare Act —

For solving a problem, we need to know what is the reason for it. We may not properly handle the problem of child abuse if we hurry up responding to it without carefully thinking about from which point we have lost the right way and redesigning how to change the route for the final destination: effective protection of abused child. There is a crime of “child abuse” and an “act” of child abuse. Sometimes we need to prosecute the parents because they committed a crime but they are often doing bad acts on their kids even if the prosecutor may not intervene with various coercive measures for stopping their abusive act. This article is written for arguing that it is time to redefine various abusive acts and to redesign the way to respond to them. We have too much focused on child abuse crime committed by the parents: the Specific Act on Punishment of Child Abuse Crime(hereinafter “the Specific Act”) was in on the center of our child protection system. However, the Specific Act was not so successive in carrying out the mission. Police officers have been hesitant about arresting the parents under the Specific Act because it would be against the victim’s interest. They could not do any thing in situation where they do not have other options for protecting the victim outside the scheme of the Specific Act. Thus, we have to revisit and rewrite the Child Welfare Act for providing with proper tools for preventing parents’maltreatment, to which the Specific Act is not applicable. This Article shows the map of redesigning how to respond to child maltreatment and proposes a possible revision of the Child Welfare Act.
Assess the Engagement with 3D Virtual Learning Tools during the COVID-19 Pandemic

The recent growth of learning technologies has catalyzed the surge in investments in e-learning systems across higher education to revolutionize pedagogical practices. Thus, the implementation of 3D virtual learning tools has become an indispensable, standard methodological tool in higher education. More recently, the enforcement of restrictions and emergency lockdowns to curb the spread of the COVID-19 pandemic compelled higher education institutions worldwide to cope with and meet the requirements of online education while preserving the quality of the learning experience at an equal pace. To develop a 3D physics laboratory, the appropriate equipment for physical experiments was first collected; then, the design software was applied to construct the 3D model. Software was then developed to edit the 3D experimental environment. Two practical tests were performed on the completed setup to verify the disadvantages and feasibility of the experiments. The present study develops and validates the incorporation of user satisfaction approaches to examine the quality of the most influential 3D learning tools during the coronavirus outbreak. The findings of this study confirm that 3D laboratories can positively influence learning attitudes when it comes to physics and improve learners’ understanding of physics concepts; they also confirm that 3D laboratories are a suitable tool for teaching physics experiments. Finally, the difficulties and solutions encountered in the development of the 3D laboratory are outlined as a reference for subsequent studies.
Study on the structure and optical properties of ZnO films doped with the III main group elements by sol-gel method

Ga- doped ZnO films and Ga-Al co - doped ZnO films were prepared on glass and Si substrates by sol - gel spin coating. The crystal structure of the sample film was characterized by X-ray diffractometer (XRD), the surface morphology of the film was measured by scanning electron microscope (SEM), the optical properties were investigated by UV-vis spectrophotometer, and the luminescence properties were analyzed by photoluminescence spectrum (PL spectrum).In the experiment on the effect of Ga doping amount on ZnO thin film, Ga doping did not change the structure of ZnO hexagonal wurtzite. A proper amount of Ga will make the grain of the film grow optimally along the c-axis, the grain size becomes smaller, and the film surface becomes smoother and smoother. When Ga doping amount is 3 at%, the film has the best preferred orientation, the most uniform grain growth, and the highest transmittance in the visible region. The effect of Al doping amount on Ga-Al co—doped ZnO thin films was investigated in this paper. The doping amount of Ga was controlled as 3at%, and the doping amount of Al was 0.5 at%, 1.0 at%, 1.5 at%, 2.0 at%, and 2.5 at%. It was found that the addition of an appropriate amount of Al ion would make the grain grow along the horizontal direction, reduce the grain gap on the surface of the film, make the surface smooth and smooth, and improve the crystallization and optical properties of the film. When Ga doping amount is 3.0 at% and Al doping amount is 2.0 at%, the average transmittance of the film in the visible light region is the highest (92%) and the forbidden band width is the largest (about 3.95 ev). At this time, the near-band emission peak of the film is the strongest and the defect luminescence peak is the weakest.
The challenge of future education for building sustainable strategic developmental economies =تحدي التعليم المستقبلي لبناء اقتصادات التنمية الاستراتيجية المستدامة

This paper addresses the question of the Challenge of Future Education For Building Sustainable Strategic Developmental Economies. As the world enters an unprecedented era of complexity and multi-risk realities, there is a need to develop a new model of education that can cope with this situation. There must be a new integrated vision for education and its roles in enhancing the drive for strategic sustainable development of desirable development. The paper provides an approach to rejuvenating education for sustainable development stressing the future trends, the 4 IR, the quality of human talents, the global ecosystem of work, the sophistication of management and governance, the internet of things and the culture of global work. The paper proposes the enhancement of research towards developing multi-integrated models and strategies for the reorientation of education of strategic sustainable development. Keyword: Future Education-Economy- Sustainable development- strategic planning