Reviewerly/exHarmony huggingface dataset:
The Degree of Availability of Crisis Management Elements in the Boards of Directors of Jordanian Football Sport Clubs in Light of the Coronavirus (COVID-19) Pandemic

The study aimed at investigating the degree of availability of crisis management elements in the boards of directors of Jordanian football sport clubs in light of the Corona virus pandemic .The study adopted the descriptive cross-sectional research approach.The sample of the study comprised of (208) members of clubs boards of directors.The study utilized a 5-domain.The findings revealed that the degree of availability of crisis management elements in the boards of directors of Jordanian football sports clubs in light of the Coronavirus (COVID-19) pandemic was at a moderate degree.In addition, there were no statistically significant differences in the degree of availability of crisis management elements in Football sport clubs' boards of directors referred to the variables (administrative experience, educational qualification, team rank).The study recommended the necessity of activating the role of crisis management elements in sports bodies and institutions and the need to enact legislation and laws that oblige members of sports club boards of directors to obtain training courses in the field of crisis management.
On the Parity of Power Permutations

Side-channel analysis (SCA) attacks and many countermeasures to foil these attacks have been the subject of a large body of research. Different masking schemes have been proposed as countermeasures, one of which is Threshold Implementation (TI), which carries proof of security against DPA even in the presence of glitches. At the same time, it requires a smaller area and uses much less randomness than the other secure masking methods. One of the methods to have an efficient TI of high degree S-boxes is the decomposition method. Our goal in this paper is to analyze the nonlinear components of symmetric cryptographic algorithms. To minimize the area of the protected implementation of cryptographic algorithms, we show the conditions to decompose the substitutions boxes, which are permutations, of high algebraic degree into the ones of lower degree. To find the conditions, we target the decomposition of permutations into quadratic or cubic permutations by considering the power permutations and their parities, which help us determine whether the higher degree permutations are decomposable power permutations or not. Finally, the decomposition results about the finite fields and corresponding lower degree power permutations are presented.
A Study on the Mobile Library Services in the Public Libraries: With reference to the Public Libraries in Matara District, Sri Lanka

The Public library is an institution that provides equal access to all. It stands in societies with diverse development stages and cultures. Hence, the manner of service as well as the way of providing the service differs from context to context. Extension service is one of the many services which should be provided by the public libraries, as it offers service for a diversity of readers and also it benefits in giving a clear idea about library services to those that currently do not use it. The main purpose of this concept is to take the library to readers who have difficulties visiting the library. Therefore, the main objective of this study was to investigate the application, practice and challenges of providing mobile library services by the public libraries. The Survey method was utilized as the data collection method. The study involved public libraries in Matara district, Sri Lanka as the study sample. The survey revealed that the libraries do not possess a separate collection of books for the mobile library service, the books in the mobile library collection is less (below 750), the mobile libraries identify the school children as their target reader group (54.54%), the majority use a vehicle (a cab) of the governing institutions to transport the books and offer the service (54.54%). The study also revealed that none of the libraries offers this service to people in hospitals and prisons and the vehicles allotted for the mobile libraries lack the necessary facilities. Increasing the financial support, number of books collection, awareness program, improving the facilities in the mode of transportation, etc. can be pointed out as recommendations.
A Culturally Relevant Picture Book for Children’s Early Literacy

This research aimed at designing a picture book which is based on local folktales to support children’s early literacy. With observation and one group pre-test post-test experimental design, the main field test was carried out to a total of 120 preschool children aged 5 and 6 years old. Of the total, 43 children were chosen as the control group, while the other 77 children were as the experimental group. An independent sample t-test was used to determine the score difference between the two groups. The findings show that there is an improvement in reading readiness among the experimental group. Therefore, it can be concluded that the use of the local folktale picture book developed in this study can give a positive impact on children’s early reading development. The implication of this study is expected to shed light on the importance of local culture in children language development.
Information System Renting and Renting Books By Website Based Host To Host

&#x0D; In the survey that has been conducted, there are less than 3 books of less than 3 books out of 110 respondents aged 15-25 years. 74% of respondents get books from bookstores and libraries. A total of 30% are those who do not have money to buy books and 22% are incomplete collections of regional libraries. To help people who do not have the money to buy books or those books are not in the regional library, a platform is needed to bridge these problems, namely renting and renting books. From this solution, it is expected that the public's interest in reading will increase in percentage. The purpose of this research is expected to improve public literacy in Indonesia, especially students. The results of this research are that it can provide a platform for borrowing and borrowing books without spending money, renting books at low prices, and mutually beneficial book exchanges for both parties. The conclusion of this research is that users can get books from the features provided, such as rent, borrow, buy and exchange books.
Tren Marketplace Berdasarkan Klasifikasi Ulasan Pelanggan Menggunakan Perbandingan Kernel Support Vector Machine

Currently, many Indonesian people like to conduct online trading transactions. However, a number of business people find it difficult to choose a marketplace to market their products. One of the reasons is because they rarely pay attention to the marketplace trends that consumers are discussing. Therefore, analyzing trends on social media such as Twitter, it becomes very important for business people to understand the pattern of consumer tendencies towards their services or products. So the purpose of this study is to create a model that can analyze marketplace trends based on the classification of customer reviews on Twitter using the SVM algorithm. The kernels used are linear, RBF, sigmoid, and polynomial with parameter optimization using grid search. The methodology used is KDD. The results of the evaluation of the best classification model are the sigmoid kernel with 92% accuracy, 92% precision, 92% recall, and 92% F1 score and parameters C=100, =0.01, and r=1. Market trend results based on the highest percentage of positive reviews are Tokopedia, Shopee, and lastly Bukalapak.
Cognitive Computing For Sustainable Agriculture

Cognitive computing in agriculture is going to be a big revolution like the green revolution. Agriculture is a big step that accompanied the humanity to evolve from the ancient times to the modern days and has fulfilled the basic need for food supply. Today still remains it’s at most importance. Cognitive computing uses cognitive technologies in agriculture that help to understand, learn from experiences and environment, reason, interact and thus increase the efficiency. Civilization has led to more urbanization. There are more people than available food. There is a great necessity to increase the per meter yield, So many techniques have been for seen in agriculture in terms of usage of pesticides and fertilizers, use of hybridization and green revolution to increase the production in agriculture. Now the use of modern technologies such as artificial intelligence and cognitive computation is going to bring a new big revolution for sustainable agriculture. The present paper focuses on the problems faced by the modern society in agriculture and how the cognitive computation provides an ultimate solution to the problems. We also discuss some illustrations for the usage of cognitive technologies and machine learning in the field of agriculture.
The Effects of Reading Habits on Reading Comprehension among EFL Students at Van Lang University

Reading habit and reading comprehension seem to share a significant correlation, but there is less research conducted in Viet Nam in order to reveal the relationship between them. This research aims to describe Van Lang EFL students' reading habits, reveal their reading proficiency, and determine the correlation between the two elements. Quantitative data were collected through an online questionnaire, and the test would be analyzed by using Statistical Package for the Social Sciences 26 (SPSS 26). The questionnaire was used to identify learners' habits of reading, and the test was supervised to evaluate their reading productivity. Pearson Correlation and regression analyses were conducted in order to affirm the effects between five aspects of reading habits on reading comprehension. Qualitative data were collected through a structured interview and later were quantified by using Microsoft Excel 2016. The interview was conducted in order to clarify some similarities and differences between the reading habits and attitudes of purposive samples. From the result of this study, the researcher can declare that Van Lang EFL scholars have good attitudes toward reading habits and perform reading mostly because of their own motivation. From the statistics, it can be concluded that their reading comprehension performance was mediocre. The findings show that the correlation between reading habit and reading comprehension is perfect significant (robtained=0.608 to 0.710). 53.9% of the factors of reading habit contribute to reading comprehension. The result implicates that reading comprehension achievement would be enhanced if reading habit is maintained and vice versa. The researcher recommends that further research focus on the procedure, obstacles, interests of having good reading habits, and how learners apply reading habits to subjects requiring specific reading comprehension skills.
System Identification of Coupled Electric Drive Using Machine Learning Algorithms

System identification is behaviour of the system and hence nonlinear system identification is important. Machine learning which the application of artificial intelligence technique are programs that can learn and adapt to the changes without human interference. These are implemented in such a way that they try to find the relationship between the inputs and the target. Hence machine learning algorithms such as gradient descent based linear regression and neural networks are implemented for a coupled electric drive system. The simulation results are then analysed for their performance indices. the method of developing mathematical relationship between the input and output variables. Linear models cannot capture the non-linear
On Function Approximation in Reinforcement Learning: Optimism in the  Face of Large State Spaces

The classical theory of reinforcement learning (RL) has focused on tabular and linear representations of value functions. Further progress hinges on combining RL with modern function approximators such as kernel functions and deep neural networks, and indeed there have been many empirical successes that have exploited such combinations in large-scale applications. There are profound challenges, however, in developing a theory to support this enterprise, most notably the need to take into consideration the exploration-exploitation tradeoff at the core of RL in conjunction with the computational and statistical tradeoffs that arise in modern function-approximation-based learning systems. We approach these challenges by studying an optimistic modification of the least-squares value iteration algorithm, in the context of the action-value function represented by a kernel function or an overparameterized neural network. We establish both polynomial runtime complexity and polynomial sample complexity for this algorithm, without additional assumptions on the data-generating model. In particular, we prove that the algorithm incurs an $\tilde{\mathcal{O}}(\delta_{\mathcal{F}} H^2 \sqrt{T})$ regret, where $\delta_{\mathcal{F}}$ characterizes the intrinsic complexity of the function class $\mathcal{F}$, $H$ is the length of each episode, and $T$ is the total number of episodes. Our regret bounds are independent of the number of states, a result which exhibits clearly the benefit of function approximation in RL.
The Validity Of Learning Media E-learning Based On Edmodo On Kingdom Protist Material Class X SMA/MA

The development of Science and Technology has had a very significant impact on all aspects of human life, including in the field of education. One example of the use of technology in the learning process that is often used is the use of e-learning. E-learning is a system operation that utilizes information technology in learning. One of the e-learning media is edmodo. Edmodo is a social networking based learning platform intended for teachers, students and parents of student. This type of research is research and development (R &amp; D) research with using the 4D Model. The object of this research is the edmodo based e-learning. The learning media is Kingdom Protist material for the X grade students of the SMA Adabiah Padang. The subject of this research were two lecturers Jurusan Biology FMIPA UNP and one teacher of SMA Adabiah Padang as the validator of using this e-learning. The result of validation show an average value of 90.98 with a very valid category. This shows of edmodo based e-learning developed is very valid among in terms of the feasibility aspects of content, language, presentation, and graphic aspects.
weighting power quality evaluation based on cloud model and anti-entropy

Abstract There are subjectivity and uncertainty in the general comprehensive evaluation of power quality. And there are problems of randomness and ambiguity in the boundary of power quality classification. Firstly, the subjective weight is obtained based on the cloud model theory. Secondly, the objective weight is obtained based on the improved anti-entropy method. Thirdly, the subjective and objective combined weight is obtained through the moment estimation theory. And then the final score of each observation point is obtained and sorted by the improved TOPSIS. Finally, the effectiveness and feasibility of the method are verified by an example, which provides a new idea for the effective combination assessment of power quality.
WHEN BLENDED LEARNING IS FORCED IN THE AMID OF COVID-19: WHAT HAPPEN ON EFL LEARNERS’ SPEAKING ANXIETY?

The existence of Covid-19 has forced the migration of the teaching and learning paradigm from face to face interaction to online learning and to the combination of both known as blended learning. Blended learning is believed to provide opportunity for students to interact with each other with anxiety put at the lowest. This research was aimed to know 1) to what extent is the EFL Learners’ anxiety influenced by blended learning approach in this covid-19 pandemic?; 2) What factors contribute to student’ anxiety during Speaking activities in class in the Covid -19 age?. Mix research method was employed in this study as the data was analyzed both quantitatively and qualitatively. This study was conducted at second semester students of English department at Mandalika University of Education. The findings show that most students were anxious when communicating with each other. Factors like lack of confidence and fear of making mistakes, lack of vocabulary, low English proficiency, lack of practice, fear of being unable to follow and understand others were the primary causes of their anxiety.
Non-interactive zero-knowledge proof scheme from RLWE-based key exchange

Lattice-based non-interactive zero-knowledge proof has been widely used in one-way communication and can be effectively applied to resist quantum attacks. However, lattice-based non-interactive zero-knowledge proof schemes have long faced and paid more attention to some efficiency issues, such as proof size and verification time. In this paper, we propose the non-interactive zero-knowledge proof schemes from RLWE-based key exchange by making use of the Hash function and public-key encryption. We then show how to apply the proposed schemes to achieve the fixed proof size and rapid public verification. Compared with previous approaches, our schemes can realize better effectiveness in proof size and verification time. In addition, the proposed schemes are secure from completeness, soundness, and zero-knowledge.
ODD: Outlier Detection and Description

We propose to organize the 6th ODD workshop at KDD 2021, following the successful series of the past five ODD Workshops that have been organized at KDD 2013, KDD 2014, KDD 2015, KDD 2016, and KDD 2018.
Novel Deep Learning Models for Medical Imaging Analysis

Deep learning is a sub-field of machine learning inwhich models are developed to imitate the workings of the humanbrain in processing data and creating patterns for decision making.This dissertation is focused on developing deep learning models formedical imaging analysis of different modalities for differenttasks including detection, segmentation and classification. Imagingmodalities including digital mammography (DM), magnetic resonanceimaging (MRI), positron emission tomography (PET) and computedtomography (CT) are studied in the dissertation for various medicalapplications. The first phase of the research is to develop a novelshallow-deep convolutional neural network (SD-CNN) model forimproved breast cancer diagnosis. This model takes one type ofmedical image as input and synthesizes different modalities foradditional feature sources; both original image and synthetic imageare used for feature generation. This proposed architecture isvalidated in the application of breast cancer diagnosis and provedto be outperforming the competing models. Motivated by the successfrom the first phase, the second phase focuses on improving medicalimaging synthesis performance with advanced deep learningarchitecture. A new architecture named deep residual inceptionencoder-decoder network (RIED-Net) is proposed. RIED-Net has theadvantages of preserving pixel-level information and cross-modalityfeature transferring. The applicability of RIED-Net is validated inbreast cancer diagnosis and Alzheimer’s disease (AD) staging.Recognizing medical imaging research often has multiplesinter-related tasks, namely, detection, segmentation andclassification, my third phase of the research is to develop amulti-task deep learning model. Specifically, a feature transferenabled multi-task deep learning model (FT-MTL-Net) is proposed totransfer high-resolution features from segmentation task tolow-resolution feature-based classification task. The applicationof FT-MTL-Net on breast cancer detection, segmentation andclassification using DM images is studied. As a continuing efforton exploring the transfer learning in deep models for medicalapplication, the last phase is to develop a deep learning model forboth feature transfer and knowledge from pre-training ageprediction task to new domain of Mild cognitive impairment (MCI) toAD conversion prediction task. It is validated in the applicationof predicting MCI patients’ conversion to AD with 3D MRIimages.
Penerapan Pendidikan Karakter pada Genre Deskripsi dalam Buku Teks Bahasa Indonesia Kelas VII dalam Upaya Meningkatkan Kualitas Diri

Indonesian language textbooks in junior high schools consist of various genres, one of which is genre description. It is hoped that the description genre will be able to instil character education in students. This study aims to determine the cultivation of character education in Indonesian textbooks, especially genre descriptions. This research is qualitative descriptive research. The data of this research are in the form of phrases, words, clauses, sentences, paragraphs, and discourses that contain the cultivation of character education in Indonesian junior high school textbooks. The data were obtained from Venda Margareta's research (umbrella research) and Indonesian junior high school textbooks. In this study, the research instrument is a researcher who has been equipped with a set of theories and data cards that contain a study of operational verbs in a textbook. The instrument was validated with content validation by experts carried out by language teaching experts. Data collection techniques in this study using documentation techniques and literature study. The validity of the data was carried out by peer checking techniques through discussion or Focus Group Discussion (FGD). Analysis of the data in this study through the process of reduction, data presentation, and leverage. The results of the seventh-grade research show that the application of character education is found in text descriptions and is able to increase the character values ​​of students. The planting of character education found, namely the values ​​of honesty, discipline, responsibility, caring, polite, and confidence.
Augmented Reality Technologies in Education

The world in which we humans live is three-dimensional. To have a deeper understanding of the world, we must first experience it in three dimensions. In actuality, we frequently use two dimensions in our learning. Augmented reality is a technology that enhances and adds more information to the existing reality rather than totally creating an illusion or virtual world. It adds extra information to the human mind's perception, allowing a student to better encounter and experience the world. Education can benefit greatly from augmented reality applications since they can provide effective, appealing, and simple teaching and learning methods. A student does not need to go to different places to receive information on an object or an entity; instead, he or she can acquire all of the related information in an augmented reality application, which automatically improves the learner's vision and knowledge. This paper provides an overview of the technological components of augmented reality, because of how it differs from and differs from other forms of technology, as well as how it may also be used in education for integrated learning.
Implementasi Aplikasi Mobile Peta NKRI (Negara Kesatuan Republik Indonesia) Berbasis Android Menggunakan Metode Prototype

Android technology is developing very rapidly, it is proven that everything can be done easily. Indonesia is the largest archipelagic country in the world. The alternative name for Indonesia is called Nusantara. With its many islands, Indonesia has 34 provinces. Therefore, the author makes an android-based application program about the map of the State of Indonesia. Where the method used is the prototype method. With Android studio programming language. This mobile application makes it easy for users to view a map of the Indonesian archipelago which consists of 34 provinces. This application is intended for school students, but ordinary people can also use it. In the past we could only see maps of the islands and provinces using books. With the development of mobile applications, an Android-based application for the NKRI map was made. In this application, users can view a map of Indonesia, and can use other features such as interactive games, questions about the map of Indonesia to add insight into the map of Indonesia