Reviewerly/exHarmony huggingface dataset:
Analisis Kesalahan Penggunaan Ejaan dan Tanda Baca dalam Karangan Narasi Dikaitkan dengan Sikap Tanggung Jawab Siswa

This study aims to describe the use of spelling and punctuation errors that are high, medium, and low in narrative essays associated with the attitude of responsibility in fifth grade students of SD Negeri 30 Pontianak Selatan. This study uses a descriptive qualitative approach. The data analysis technique uses the Miles and Huberman model which includes for stages, namely data collection, data reduction, data presentation, and drawing conclusions. The results of responsibility based on the error rate, namely at high errors because students did not understand the use of proper spelling and punctuation, for moderate errors because there were students who did not pay attention to the use of spelling and punctuation. Correct in composing, and far low errors, students already know the use of proper spelling and punctuation, but there are still few errors found, and it is associated with an attitude of responsibility based on the error rate, student with high, medium, and low error rates for their attitudes it’s all good.
Financial transfer in cyber currency and the private international law

The object of this study is the analysis of the legal nature of the so-called cryptocurrencies or virtual currencies and the positions defended by different authors based on the current regulatory status and the decisions issued by international authorities, with special emphasis on the conception of cryptocurrencies as “means of payment” and “property susceptible of ownership.” In addition, an examination is also carried out on the sufficiency of the existing legal mechanisms in matters of private international law to deal with the consequences derived from said qualifications and on the possibility or need to carry out legislative modifications to achieve a satisfactory regulation of cyber currencies.
Staying Safe Online: Online Privacy Management Behaviour Among Deaf Community

Statistics on internet usage and reliance in Malaysia have shown staggering annual growth, especially among youths.Though advantages of technology adoption are acknowledged, the issue of cybersecurity has been a rising concern with incremental cases over the years.To ensure users' safety and devise an inclusive action plan, it is imperative to understand the usage pattern and the factors that promote or hinder certain online behaviours.This understanding can only be done by looking at different subgroups as there may be unique experiences, such as the Deaf community.Since there have been limited studies on Malaysian Deaf youths' privacy management behaviour, this study is imperative to be explored.Methodologically, 17 Malaysian Deaf youth were chosen through a multi-stage sampling method.Semistructured interviews and face-to-face surveys were conducted in Bahasa Isyarat Malaysia (BIM) by an interpreter to examine the extent of Deaf youth engagement in online privacy management as well as to investigate the factors that contribute to or hinder their privacy management behaviour.It was found that the respondents mainly engaged in basic privacy management behaviours due to their lack of exposure to the technical aspects of privacy management as well as the negative repercussions of their behaviours.These findings point to the urgent need for further awareness and education training among the Deaf community to ensure that all users are safe amidst the further technological advancement of the nation.
MP-BERT4REC: Recommending Multiple Positive Citations for Academic Manuscripts via Content-Dependent BERT and Multi-Positive Triplet

Considering the rapidly increasing number of academic papers, searching for and citing appropriate references has become a nontrivial task during manuscript composition. Recommending a handful of candidate papers to a working draft could ease the burden of the authors. Conventional approaches to citation recommendation generally consider recommending one ground-truth citation from an input manuscript for a query context. However, it is common for a given context to be supported by two or more co-citation pairs. Here, we propose a novel scientific paper modelling for citation recommendations, namely Multi-Positive BERT Model for Citation Recommendation (MP-BERT4REC), complied with a series of Multi-Positive Triplet objectives to recommend multiple positive citations for a query context. The proposed approach has the following advantages: First, the proposed multi-positive objectives are effective in recommending multiple positive candidates. Second, we adopt noise distributions on the basis of historical co-citation frequencies; thus, MP-BERT4REC is not only effective in recommending high-frequency co-citation pairs, but it also significantly improves the performance of retrieving low-frequency ones. Third, the proposed dynamic context sampling strategy captures macroscopic citing intents from a manuscript and empowers the citation embeddings to be content-dependent, which allows the algorithm to further improve performance. Single and multiple positive recommendation experiments confirmed that MP-BERT4REC delivers significant improvements over current methods. It also effectively retrieves the full list of co-citations and historically low-frequency pairs better than prior works.
The Degree of Practicing of Public-School Principals to Technological Leadership in Aqaba Governorate in Light of the Corona Pandemic from Teachers' Point of View for the Academic year 2020-2021

The study aimed to reveal the degree to which public school principals practice technological skills from teachers' point of view in the Aqaba Governorate in light of the Corona pandemic. The descriptive survey method was adopted to achieve the objectives of the study where a questionnaire was developed that included (35) paragraphs, the study sample takes by simple random method from the study population, and it consisted of (200) male and female teachers. The statistical package for the social sciences (SPSS) was used to analyze the data. The study results concluded that the degree of technological leadership practice among principals of primary schools in light of the Corona pandemic from the teachers' point of view came to a high degree. The study results found that there are statistically significant differences at the level of significance (α ≥ 0.05) in the impact of the gender differences tend in favor of females with an arithmetic mean higher than the arithmetic mean for males. Whereas the females see the administration's application of technological leadership to provide the student's right to learn despite the challenges that the Kingdom is experiencing as a result of the Corona pandemic in the educational sector and other sectors). The arithmetic averages for the level of application of government school principals to technological leadership ranged between (3.70- 4.60 out 5), this indicates the high level of application. Paragraph No. (10) came in the first place, which states, "The principal uses the presentation program during school meetings, " with an arithmetic mean of (4.60). While Paragraph No. (28) states, "The principal makes supervisory visits to teachers during their training of students in remote meetings, "on the last rank, with a mean of (3.70). The study recommended increasing the education and training of administrative leaders on applying modern technological concepts and practices in management.
A Study of Cyber Security Challenges and Developing Tendencies in the Latest Technologies

Abstract: Today, with modern lifestyles, people have become involved in the life and use of technology. More technology for financial transactions as well as shopping in their cyberspace.At the same time, the protection of knowledge has become increasingly difficult. In addition, the proliferation of social media has led to an increase in online crime or cybercrime. in the world data security plays an important role in information technology. Information with security become one of the major challenges of today. Whenever we think of cybersecurity, we come first think of the 'cybercrimes' that are spreading every day. Different governments and Businesses take various steps to avoid this form of cybercrime. In addition to numerous cyber security measures, many people are also very worried about it. This paper focuses primarily on cybersecurity concerns related to new technology. It also focuses on the new. Cybersecurity, ethics, and technologies for development that affect cybersecurity.
Three Lockup Tables to Protect Digital Color Image

This research paper presents a new method for encoding-decoding digital color images using three generated lockup tables. The proposed method generates encryption-decryption chaotic logistic keys; these keys are converted into lockup tables, one lockup table for each color channel. The proposed method uses a complex PK with complicated structure, which contains the values of CLMMs parameters, needed to rn these models to get the CLKs. The color channel s of the image are to be extracted, each color channel is to be encrypted-decrypted. Then the encrypted-decrypted colors to be combined to form the encrypted-decrypted color image. The PK will provide a huge key space to increase the level of image security, and the generated lockup tables will be very sensitive to the selected values of the PK, any changes in the PK during the decryption phase will be considered as a hacking attempt by generating a damaged encrypted image. The proposed method will be tested and implemented using various color images, the results will be analyzed to prove the quality and efficiency provided by the proposed method.
A Reconstruction Study on the 30-Wheeler Ceremonial Vehicle of Melaka Sultanate

Portuguese historical sources mentioned the existence of a 30-wheeler ceremonial vehicle that belonged to the Sultan of Melaka embedded in the 1511 war narrative.This report documented several measurements on the vehicle but was rarely analyzed academically.This project's fundamental goal was to reconstruct the arguably historical and extinct vehicle.It employed narrative analysis in dealing with textual clues involving components and measurements of the vehicle.Moreover, each component was carefully scrutinized as an integrated whole.Visual anthropological research was applied to cross-compare related historical visuals involving a Dutch Melaka sketch of a similar concept vehicle.It also investigates the route to where the vehicle was driven which has direct and indirect implications on its design.Subsequently, design thinking was applied to pursue the design process to achieve the research's reconstruction objective.The analysis and design process of the reconstruction consider the context in which the vehicle was used.According to the findings of this study, this Malay Sultanate ancient vehicle has a unique form and has complex mechanical design and maneuvering capability.Nevertheless, it is not comparable to the Malay royal vehicles that existed during the Dutch Melaka period.The study has limitations since it relies on English translation in dealing with ancient Portuguese texts.The long-term goal of this reconstruction study is to promote historical Melaka identity tourism, which is in line with SDGs 8.9 and 11.4.
Data Mining Pengelompokan Akta Nikah Berdasarkan Usia Nikah atau Domisili Menggunakan Metode Clustering:

&#x0D; One way to find out the marriage certificate data is to group the prospective bride and groom data that has been recorded at the Langkat Ministry of Religion. The analysis was carried out using the Clustering method using the K-Means method which was translated into a software. This software is used for grouping data. The output is to find out the grouping of marriage certificate data with the closest relationship between the age group of the groom, occupation and address. The results showed that the age of the groom-to-be between 19-28 years old had a civil servant job at the address/district of Kutambaru.&#x0D; Keywords: age, occupation, address/location and clustering
Deep Active Learning for Pornography Recognition Using ResNet

The demand for nudity and pornographic content detection is increasing due to the prevalence of media products containing sexually explicit content with Internet being the main source.Recent literature has proved the effectiveness of deep learning techniques for adult image and video detection.However, the requirement for a huge dataset with labeled examples poses a restriction in practical use.Several research has shown that training deep models using an active learning framework could reduce the annotation effort, but this approach has yet to be applied for pornography detection.In this paper, the classification efficiency and annotation requirement of fine-tuned ResNet50V2 model trained using an active learning framework in pornographic image recognition was explored by comparing the method's performance using three sampling strategies (random sampling, least confidence sampling, and entropy sampling).The baseline for comparison was a fully supervised learning method.The video frames of the public NPDI dataset were utilized to run a 5-fold cross-validation.The results of the experiments demonstrated that similar average test accuracy of five folds could be obtained using the deep active learning method, with only 60% of labeled samples in the training dataset compared to 100% annotated samples in fully supervised learning.
The Influence of Performance Appraisal System on Employees from Work Motivation and Satisfaction

AgrobisnisTarutama Nusantara Cooperative is one of the biggest cooperative in Jember, East Java focuses on tobacco exporter field to Bremen, Germany.The employees' performance assessment system obtained in AgrobisnisTarutama Nusantara Cooperative uses Management by Objective method and process approach.However, to fulfill the purpose in works, there are still several obstacles in which the level of employee performance considered to be less.Thus, it aims to prove significantly the effect of employees' performance assessment system through job motivation and satisfaction.The method applies is explanatory research using quantitative approach and the sample are using 108 respondents. In case to analyze the causal relations between each variable and hypothetical testing, therefore, the analytical tools used is Structural Equation Modeling (SEM).The results show that employees' performance assessment has positive impacts on job motivation and satisfaction, moreover, job motivation and satisfaction has positive impacts toward employees' performance as well.
Writing Your First Scholarly Book

As scholars, we are regularly reminded of the importance of journal articles.Rightly so, but in some disciplines, it is the book rather than the article that establishes and marks your academic reputation.Usually your first book comes from your doctoral thesis.The decision to publish your first scholarly book will also often coincide with the most important juncture in your professional and scholarly career: applying for a permanent teaching position at a university, or, increasingly also in the humanities and social sciences, applying for a
The Extent to Which Augmented Reality Technology Improves Education in the Kingdom of Saudi Arabia

Our reality today is witnessing progress in technology in a rapid way, where the mechanisms of education have evolved according to the development of technology, which contributed to increase educational productivity, it made the process of learning more fun, easy instead of relying on traditional teaching methods as it contributed to increase the interaction of students with the learning environment as well as the level increased achievement creative thinking. Augmented Reality is one of the most important techniques that improved the learning and awareness processes. Moreover, contributed to the satisfaction of student's needs and their education effectively, as well as in student's health awareness inside the schools. This paper investigates to study the impact of Augmented Reality technology in education in the classroom and educate students about healthy nutrition, Survey and interviews were conducted among teachers, students, and health advisers to determine the extent of impact AR technology in education in classroom and health awareness, this paper will work to promote the use of Augmented Reality in education.
The Significance of the RTE Act in the Reform of the Education System

The major problems in education today are interrelated and as such, its true nature is multiple and systemic rather than isolated and specific.Therefore, the attempts to address these problems must also be structural and holistic.Systemic reform embodies three integral components: central, enabling and supporting factors.The Government of India endeavours to enhance quality education for all learners between the age group of 1 to 14 through the Sarva Shiksha Abhiyan (SSA), the designated scheme to meet the object of RTE Act, 2009.Systemic reforms have to be designed whereby the functions that schools are expected to do can be performed most effectively and competently.There is need for more effective and strategic approach to the allocation of resources to improve instruction which require greater overall financial investment in education and thus greater public commitment to the future.
Research on Influence Factors and Driving Strategies of Online Autonomous Learning

Online autonomous learning is becoming a new way of learning.Based on the understanding of the main characteristics of online autonomous learning, the author analyze the main influence factors of online autonomous from the aspects of cognition and internal driving force, behavior and strategy selection, environment and resource utilization, etc., and explore the driving strategies of online autonomous learning in stimulating learners' learning motivation, optimizing learning strategies, and creating a high-quality online learning environment, which will help improve learners' online autonomous learning capabilities.
AI Virtual Painter using OpenCV and Mediapipe

Recognition of hand gestures has great importance for Human-computer interaction (HCI). The human hand is very small with complex junctions compared with the entire human body, hence recognizing the human hand is not an easy task. By using the hand gesture recognition the hand point/coordinates of hands can be detected using which we can make many impossible happens. Our work indicates one such finding, that is, VIRTUAL PAINTER. In our project, the main objective is to display the words on the monitor screen which we write on air in front of the webcam. This is done by recognizing the human hand through the normal webcam of a computer and the hand points are detected using the MediaPipe python library. Using the detected hand points the count of opened fingers is stored. When the index and middle fingers are open it means it is in Selection mode and when only the index finger is open it is in drawing mode. In Selection mode, the colors using which we want to draw can be selected from the list of colors that are made displayed on the screen. In drawing mode, the content that is written in front of the camera on air is drawn on the monitor screen. The application of this implementation can be used in many places where immediate implementation or explanation is needed.
A literature review of genetic algorithm applied to games

In this paper, the following work is done: The application of genetic algorithms in games is discussed, and based on reading relevant references, the design of the algorithm is explained in detail; the current situation of combining algorithms with games is analyzed; the novelty of combining algorithms with games is explained; and the paper concludes with a summary of the considerations and the scope of application of using genetic algorithms in games. The aim of the study is to reduce the cost of consultation and understanding for game makers and researchers, allowing them to focus on the specific application of genetic algorithms in games to make the AI of the game evolvable and intelligent to the level of the players.
Arabic text classification using deep feature and bidirectional long-short-term memory

Due to the increased demand for automatic document organization, text classification is essential in both academic and commercial platforms. The aim of text classification is to automatically group text documents into one or more predefined categories,that helps to solve a variety of challenges. Many of these concerns are related to data management. In this paper, we propose a new model for Arabic text classification. The model consists of two main phases. The first phase is concerned with extracting three sets of features: statistical feature, Latent Semantic Analysis (LSA) feature, and a combination of both. While the second phase is concerned with introducing these features separately to the Bidirectional Long-short Term Memory (BI-LSTM) for classification purposes. The performance of the proposed model evaluated using CNN Arabic corpus. The experimental results showed solid performance of the proposed model, especially for a combination feature when the averages of precision, recall, and F-measurement reached 94, 91, and 91.94 respectively.
Explainable analytics: understanding causes, correcting errors, and achieving increasingly perfect accuracy from the nature of distinguishable patterns

Abstract In addition to pursuing accurate analytics, it is invaluable to clarify how and why inaccuracy exists. We propose a transparent classification (TC) method. In training, data consist of positive and negative observations. To obtain positive patterns, we find the intersection between each of the two positive observations. The negative patterns are obtained in the same manner. Next, pure positive and pure negative patterns are established by selecting patterns that appear in only one type. In testing, such pure positive and pure negative patterns are used for scoring observations. Next, an observation is classified as positive if its positive score is not zero or if both its positive and negative scores are zero; otherwise, it is classified as negative. By experiment, TC can identify all positive (e.g., malignant) observations at low ratios of training to testing data, e.g., 1:9 using the Breast Cancer Wisconsin (Original) and 3:7 using the Contraceptive Method Choice. Without fine-tuned parameters and random selection, the uncertainty of the methodology is eliminated when using TC. TC can visualize causes, and therefore, prediction errors in a network are traceable and can be corrected. Furthermore, TC shows potential in identifying whether the ground truth is incorrect (e.g., identifying diagnostic errors).
Overlooking to CSR and Women Issues After 12th IConGFESR and 12th IWBC London 2020 Conference

International Group on Women & Business, GovernanceGovernance, Fraud, Ethics & Social Responsibility started working on women entrepreneurshipsEntrepreneurship and governance and CSRCorporate Social Responsibility (CSR)-related debate from 2009. Several conferences have been held since the group was founded. This book has been exemplified using papers presented in the 11th International Conference on Governance Fraud Ethics and Corporate Social ResponsibilityCorporate Social Responsibility (CSR) (CSR) and 11th International Women and Business Conference hosted by London Metropolitan University in 2020, in the past conference held in different countries, e.g., 2018 in India; 2017 in Malaysia; 2016 in Canada; 2015 in BrazilBrazil. In this book, we have published some of the papers presented at the 2020 conference in London. The debates that take place in the conferences are extensive, outlining the contemporary issues in the world. Our group’s fundamental purpose is to recognize, promote, and support excellence in research and to encourage the development and use of knowledge for the benefit of humanity. Following few pages are summarized version of research scholars’ contributions from India, Canada, BrazilBrazil, Portugal, Turkey, Bangladesh, Estonia, Tunisia, Bosnia, Lebanon, and UK.