Reviewerly/exHarmony huggingface dataset:
(THE IMPACT OF ORGANIZATIONAL TRUST ON ORGANIZATIONAL CITIZENSHIP BEHAVIOR (A FIELD STUDY ON GENERAL AUTHORITY OF CIVIL AVIATION IN JEDDAH: أثر الثقة التنظيمية على سلوك المواطَنة التنظيمية(دراسة ميدانية على الهيئة العامة للطيران المدني بمحافظة جدة)

The main objective of this study is to illustrate the impact of the Organizational Trust on Organizational Citizenship Behavior. The study also aims to identify the level of the Organizational Trust which include: (Trust in Organization, Trust in Immediate Supervisor, Trust in Coworkers). And the level of practicing Organizational Citizenship Behavior which include: (Altruism, Sportsmanship, Conscientiousness, Civility, Civilized behavior) among the employees of the General Authority of Civil Aviation. To achieve the study objectives, the researcher adopted the analytical descriptive approach and applied the questionnaire as a data collection tool. The study community consists of all employees of the General Authority for Civil Aviation at King Abdul Aziz Airport in Jeddah. The questionnaire was distributed to a random sample (n= 280). A total of 236 questionnaires were valid for analysis. A number of results have been reached, the most important of which are: the Organizational Trust and its dimensions positively influences the Organizational Citizenship Behavior in its dimensions. The results showed that the Organizational Trust was high at an average of (3.51/5), Trust in Coworkers was high (3.95/5), Trust in Immediate Supervisor was high (3.56/5), and Trust in Organization was average (3.14/5). The results showed that the practice of Organizational Citizenship Behavior was high (3.73/5) in all dimensions. Considering the results reached, the study made several recommendations, the most important of which are: The Authority's management should promote the Organizational Trust among employees by improving human resources practices; take into consideration the interests of employees when making decisions regarding human resources; provide a justification for the adoption of these decisions in recognition of the employees’ feelings.
Fixed point computing based on fireworks algorithms

Fixed point theory is of importance in calculus equation, operational research, program analysis and mathematical economics. The calculation of fixed point is the core of fixed point theory, and it is a difficult problem. In this paper, the fixed point problem is transformed into an optimization problem, and the fireworks algorithm is used to solve the optimization problem. Experiments show that the algorithm is feasible, but the convergence speed and accuracy of the algorithm decrease when solving complex problems and the algorithm is easy to fall into local optimal solution. For this reason, adjusting the explosion amplitude of fireworks algorithm, it shows that the adjusted algorithm can greatly improve the convergence speed and accuracy, and effectively solve the local convergence problem.
Практическая направленность деятельности по формировании экологической культуры

The article is devoted to the study of effective approaches to organizing extracurricular work to ensure its practical orientation. The types of students' activities are considered, which are the basis for the formation of their active-positive behavior in nature
Difficulties of Distance Training in the Kingdom of Saudi Arabia from the point of view of Trainers and Female Trainers (A Prospective Study)

The study aimed at identifying the difficulties of distance training in Saudi Arabia from the point of view of trainers and female trainers. The study methodology is the descriptive survey approach using open questionnaire. The study community was the trainers and female trainers who provided distance-training programs during the Corona pandemic period, whether in a governmental or private sector. This community study is not specific, the descriptive survey was applied to a sample of 37 trainers. The study concluded that the most difficulties faced by trainers and female trainers in distance training in the KSA are: the difficulty of interacting with distance trainees, poor internet connectivity, unavailability of virtual halls and electronic platforms, negative behaviors of some trainees, poor money return on trainers, difficulty in carrying out manual skills courses, lack of clarity and insufficient regulations and regulations for distance training. The study came out with a set of recommendations and proposals for developing distance training in the Kingdom of Saudi Arabia.
Effect of Changing Distances for Extracting Image Information for Error Reduction of Mouth Features

Verity of information of the image in the form of image features is used in different application like pattern recognition, feature matching, image segmentation, image fusion, video processing, visual surveillance, medical diagnosis, traffic safety monitoring, remote sensing, human computer interaction, etc. Image is defined precisely and uniquely with the help of features which are useful in classifying and recognition of images. Extracting information from features of the image is a complex and diverse phenomenon. Retrieval of correct image information becomes very difficult for error reduction in the image processing. Lighting effect, zoom, distance, position, color model selected, angle of the object from camera etc. are considerable factors that affects the accuracy of featuredetection from the image. In this paper we studied and experimentation using Viola Jones algorithm are performed on distance and zoom for object detection for mouth feature detection on primary face database which is captured by smartphone. Analysis of the result concludes that as distance between object and camera increases, false negatives (Type II error) increase in mouth feature detection and it goes increasingly if the camera goes far away from object. These false negatives can be reduced by increasing zoom of the camera to achieve the accuracy and improve the mouth feature detection.
온라인수업에 대한 통번역대학원 학습자 인식 - 교수자 인식과의 비교를 중심으로

This paper reports on the results of a survey of graduate-level T&I trainees on their perceptions of and preferences for online T&I classes. In order to fine-tune the comparison and analysis, the survey was conducted in two phases, one after the midterm and the other after the final, and divided the responses into eight categories based on the respondents’ prior experiences with offline classes, the type of courses taken (translation/interpreting), and the length of the experience with the pertinent online classes. The study found that overall, the second-year students, who have prior experiences with offline T&I classes and are thus able to compare the online classes against the offline ones, were more positive toward the online mode than the first-year students, who have no prior experiences with offline classes. It also found a significant gap between the trainers and trainees in their perceptions of the online experiences as well as their preferences for the mode of teaching/learning. The paper concludes by discussing the implications of the results for future training and research.
COVID-19: A Study on Emotions

COVID-19 has created an unprecedented crisis. With the number of coronavirus (COVID-19) cases growing exponentially, the entire world has come to a standstill. This COVID-19 global pandemic has created stressful unsettling circumstances for the whole world. It has completely disrupted the normal socio-economic activities. People have flooded their social media accounts with their views and comments in these circumstances. In this paper, we have extracted tweets for two months on a weekly basis. A total of nine lac tweets are extracted in the course of two months. The extracted tweets are pre-processed and a dataset is made for the month of March and April 2020. The research is based on emotional analysis classifier using computer software programmes count vectoriser, tfidf transformer and logistic regression. Also, human emotions are classified into four broad categories: Anger, Fear, Joy, Sadness. The model is trained on a training dataset and tested on our dataset to retrieve the emotions of tweets. The results prove that people have a lot of fear in their mind and they are worried due to COVID19. The results also depict that there is a geographical shift of density of fear emotion from March to April. This is because of the shift in epicenter of coronavirus from Europe to USA. The paper has also listed some suggestions to improve the emotion and mental health of the people as well as to avoid the panic and stress created due to COVID-19 global pandemic.
Codon modulo cryptosystem for privacy preservation of vertically partitioned outsourced data

Data passes crossways the cloud by the methods of assorted way. It is fundamental to safeguard the data from unapproved users to access the information in any structure. The information refuge is guaranteed by changing a plain text into an incomprehensible configuration by encoding text utilizing cryptographic calculations and these techniques are espoused for scrambling the text to made sure about their data from aggressors to guarantee data protection. Deoxyribo Nucleic Acid (DNA) is an encryption method utilized to provide security to the distributed computing data. In this paper Codon Modulo Cryptography-based Algorithm for vertically partitioned data is applied for privacy concerns. Affiliation Rule Mining and Frequent Itemset strategies are applied to aggregate the Association Rules among the Frequent Items in a scrambled exchange of vertically partitioned information base. The exhibition of Rule Mining calculations such as Apriori, FP-Growth and Eclat with the proposed Codon Modulo algorithm is contrasted with the conventional Homomorphic Encryption.
The Image of Confucius as a Teacher in The Confucian Analects

The Confucian Analects is a classical literature of Confucianism, which embodies Confucius' teaching system, teaching philosophy and teaching content. The classic feature of The Confucian Analects is that it records the great image of Confucius as a teacher in a language full of life flavor and poetry. This paper analyzes the great image of Confucius teachers in The Confucian Analects from three angles: the way of education, the content of education and the essence of education. The author hopes to discover the theoretical essence that is beneficial to the current national education, and provide theoretical support for promoting the reform and innovation of education.
Storyboard relational model for group activity recognition.

This work concerns how to effectively recognize the group activity performed by multiple persons collectively. As known, Storyboards (i.e., medium shot, close shot) jointly describe the whole storyline of a movie in a compact way. Likewise, the actors in small subgroups (similar to Storyboards) of a group activity scene contribute a lot to such group activity and develop more compact relationships among them within subgroups. Inspired by this, we propose a Storyboard Relational Model (SRM) to address the problem of Group Activity Recognition by splitting and reintegrating the group activity based on the small yet compact Storyboards. SRM mainly consists of a Pose-Guided Pruning (PGP) module and a Dual Graph Convolutional Networks (Dual-GCN) module. Specifically, PGP is designed to refine a series of Storyboards from the group activity scene by leveraging the attention ranges of individuals. Dual-GCN models the compact relationships among actors in a Storyboard. Experimental results on two widely-used datasets illustrate the effectiveness of the proposed SRM compared with the state-of-the-art methods.
The Use of Virtual Financial and Monetary Instruments is Soaring. How Urgent is Their Regulation

Technologically advanced companies attract more advanced businesses in the field of AI or adapt their business more easily to everyday realities. This allows them to accumulate capital more easily, with fewer human resources, giving sustainability to the business in the long run, but not to the society. The incredible speed with which technology has developed has often left a gap in the regulation or legal requirements of new technologies. The lack of this regulation has become extremely visible in the field of cryptocurrencies, virtual money, without necessarily having an intrinsic value, which, however, circulate unhindered and produce effects on the entire chain of economic value.KEYWORDS: cryptocurrencies, regulations, bitcoin, blockchain, financial technology
DIABETIC DIAGNOSIS WITH DATA ANALYTICS IN NEURAL FRAMWORK WITH MACHINE LEARNING

Personal health record has emerged as a patient-centric model of health information exchange. To ensure patient-centric control over their own diabetic symptoms analyze statistics are framed, which is essential to have fine-grained data access control mechanisms that scrutinize the performance of diabetic system. Different type of algorithms is framed to create the cluster of record based on the medical history of the diabetic patients. The data set is mined to analyze the symptoms and the un-necessary data are pruned to create a valid set. A disease, if predicted wrongly, there may not be any chance of curing it. With the advancement of computing facility provided by information technology, it is now possible to predict many conditions of ailments more accurately. The first big advantage of information technology is that a huge data storage of past patient’s records are maintained and monitored by hospitals continuously. The stored medical data can be helpful to doctors to examine patterns in the data set. The patterns found in data sets may be used for clinical diagnosis. Clustering and Genetic Algorithms are quite suitable for pattern analyses. The principal objective of clustering computation was to find different groups of diabetes patients with similar symptoms within a group but different symptoms of other groups. The classification was performed based on selected training parameters
Role of Citizen Science in Safe Drinking Water in Nepal: Lessons on Water Quality Monitoring from Brazil

Availability and accessibility of safe drinking water remain some of the main challenges in many parts of the world, especially in developing countries. Brazil and Nepal are two developing countries from two different continents, and both are considered water resourceful countries, but they still face significant water and sanitation problems. An experience of a research work in the rural area of Rio de Janeiro, Brazil ‘Design of a Community-Based Water Quality Monitoring (CBWQM) Strategy’ implies a huge potential of involving active stakeholders in assessing and monitoring water quality to ensure the improved health of the citizens. In the case of Nepal, about 80% of prevalent communicable diseases are due to poor sanitation and lack of access to quality water. There is a big gap between the coverage and functionality of the water supply system owing to the degraded quality of water. In fact, there is no data available on water quality. The Water Safety Plan (WSP) tool has been helping the government strategy, but the data accuracy of Citizen Based Monitoring (CBM) needs to be checked. In order to provide reliable baseline of water quality data and institute a monitoring mechanism with proper SDG indicators, a specific methodological approach has been designed for the selected area of Nepal (Pokhara Metropolitan City). The approach focuses mainly on the selection of appropriate tools (Information and Communication Technologies (ICTs) like mobile applications, sensors) implemented with stakeholders’ participation (through water user’s committees, local schools and authorities), which in conjunction will provide a suitable data management system for the proper collection, storage, analysis, verification, and dissemination of acquired data.
IMPROVING SASTRA LITERATURE IN POETRY LEARNING THROUGH OUTDOOR LEARNING FOR S-2 ELEMENTARY EDUCATION STUDENTS

The objectives of this research were: (1) to improve the learning process of poetry learning through outdoor learners in bachelor students (S2) at elementary education (Pendas) and (2) to Improve learning outcomes by increasing literacy in poetry learning through outdoor learning in S-2 Pendas students . This research is a class action research, with 2 cycles, each cycle consisting of planning, implementation, observation and reflection. The subjects of the study were the students at A class and B class in the first semester in the Indonesian Language Elementary Education course. The research instrument was an observation sheet and test results. Research data in the form of test data and observation data. Data analysis techniques used the average value. The results showed that outdoor learning can improve student learning processes and outcomes. Improved learning process is characterized by the involvement of teaching participants more active and enthusiastic during learning. The improvement of learning outcomes is characterized by an increase in the average value of 59,7 in the first cycle to an average value of 74.43 in cycle 2
The Method of Detecting Online Password Attacks Based on High-Level Protocol Analysis and Clustering Techniques

Although there have been many solutions applied, the safety challenges related to the password security mechanism are not reduced. The reason for this is that while the means and tools to support password attacks are becoming more and more abundant, the number of transaction systems through the Internet is increasing, and new services systems appear. For example, IoT also uses password-based authentication. In this context, consolidating password-based authentication mechanisms is critical, but monitoring measures for timely detection of attacks also play an important role in this battle. The password attack detection solutions being used need to be supplemented and improved to meet the new situation. In this paper we propose a solution that automatically detects online password attacks in a way that is based solely on the network, using unsupervised learning techniques and protected application orientation. Our solution therefore minimizes dependence on the factors encountered by host-based or supervised learning solutions. The certainty of the solution comes from using the results of in-depth analysis of attack characteristics to build the detection capacity of the mechanism. The solution was implemented experimentally on the real system and gave positive results.
Decentralized finance and regulation : enhancing the role of innovative techniques through regulation

In enhancing the role of innovative techniques which involve the use of distributed ledger technology platforms, consequences or implications of such techniques could initially focus on more obvious risks – such as those risks associated with financial stability, inadequate governance and control mechanisms in place, or cybercrime. However, consideration of climate risk related factors have increasingly made the aim of focus towards a sustainable future, a more popular and increasingly justified topic. In a recent report by the European Environmental Agency, it was highlighted that “ in comparison with alternative payment methods, Bitcoin was claimed to be 20,000 times more energy intensive than Visa – with an energy consumption for each Bitcoin transaction increasing to 635 kWh – an equivalent of electricity that could power approximately 21 US households for 1 day, based on 2019 estimates according to some analysts.” However there are also potential benefits to be derived from blockchain technology - one of which includes environmental protection, as further highlighted in the report. Notwithstanding, efforts and endeavors will still be required to address climate related impacts of engaging the use of such technologies. This paper will focus on other risks – as well as benefits to be derived through the use of innovative techniques such as smart contracts and decentralized finance in a rapidly evolving financial landscape. It will also highlight why central bankers and financial regulation have to adapt and evolve rapidly in engaging the use of supervisory techniques which will not only enhance the efficiency of the use of such innovative techniques but also facilitate an adequate and well balanced approached to regulation – one which whilst not overly regulating technology, seeks to ensure that the abuse or misuse of such technologies are appropriately regulated.
The role of human resources management in assessing employee performance – An applied study on a sample from the colleges of King Khalid University –: دور وممارسات إدارة الموارد البشرية في تقييم أداء العاملين للمنظمات – دراسة تطبيقية على عينة من كليات جامعة الملك خالد –

The paper examined the role of human resources management in the process of evaluating the performance of employees applying to King Khalid University in the period (2016- 2019). The problem of the paper is an attempt to know the role of human resources management in the process of evaluating the performance of the university. The study aimed to highlight the role that human resources management plays in the evaluation process The performance of workers, which is reflected in the course on achieving the goals of the university, as well as aimed at identifying the obstacles facing human resources management in carrying out the performance evaluation process, which limits its effectiveness. The paper followed the descriptive analytical approach, the most important results of the paper. The Human Resources Department works to raise the efficiency of workers through attention to training programs that help in continuous growth and improvement. The university relies on the information provided by the performance appraisal system for the purpose of determining the rewards and incentives that distinguished employees deserve. The most important recommendations of the paper should be the process of evaluating the performance of university employees in the great interest, the need to benefit from feedback in the process of performance evaluation in dealing with the deficiencies in performance.
Administrative obstacles to training female employees - A field study on female administrative staff at Imam Muhammad bin Saud Islamic University – Riyadh: معوقات تدريب الموظفات الإداريات – دراسة ميدانية على الموظفات الإداريات بجامعة الإمام محمد بن سعود الإسلامية – الرياض –

This study aimed to identify the organizational, financial and technical obstacles facing the training of administrative staff in Imam Bin Saud Islamic University. The survey descriptive approach has been applied, and the first study results regarding organizational constraints that are limited to participation with external training institutes achieve from training programs provided to female administrative employees. As for financial constraints, the incentive system could not be linked after the courses that the administrative employee obtained from desire and motivation Administrative female employees, and not allocating a budget for the external technical training courses that employing the technology in the training process and publishing it electronically and its weight that benefit from the advantages of technology in providing electronic training opportunities for female administrative employees, and that limited electronic uses for training applications after your use of the technology advantages in remote training for female administrative staff And among the most important elements that concern the measurement of the impact of training on female administrative staff in King Abdullah City for female students at the Imam Muhammad bin Saud Islamic University, and to educate leaders in King Abdullah Female Students University in Imam Muhammad bin Saud Islamic University training for female administrative staff.