Reviewerly/exHarmony huggingface dataset:
The Level of satisfaction of school principals to the educational supervisors services In public schools in Aqaba-Jordan: مستوى رضا مديري المدارس نحو الخدمات المقدمة من قبل المشرفين التربويين في المدارس الحكومية في مدينة العقبة بالأردن

The present study aimed at identifying the level of satisfaction of school principals to the educational supervisors services in public schools in the city of Aqaba, Jordan. The sample population consisted of the schools principals (60) individuals, divided into (14) males and (56) females. To achieve the objectives of the study, the researcher developed a questionnaire consisting of (35) items. The results of study indicated that the level of satisfaction of school principals the educational supervisors services was moderate, and the results indicated that there were no statistically significant differences between the averages in the sample's views due to gender.
Intersemiotic Translation Study on E-commerce Advertisements under Non-Verbal Communication: An Analysis of the Apparel Campaigns on Alibaba International Website

With the development of economic globalization, E-commerce advertising has become a good way for enterprises to expand their international market, and people tend to be more likely to go shopping online especially under the influence of COVID-19. E-commerce platforms often provide verbal and nonverbal signs as they are normally designed to be used across different countries and cultures. The discursive nature of E-commerce advertising always needs some translation of meanings when enterprises want to sell products worldwide, which thus offer significant opportunities to bring light on intersemiotic translation of multimodal E-commerce advertisements under the guidance of nonverbal communication. This article takes the apparel advertising campaigns in Alibaba International Website as research target and mainly focusing on the nonverbal signs from four categories: body language, paralanguage, object language and environmental language in order to study how did nonverbal signs been handled in advertising, how the nonverbal signs interact with verbal signs to realize nonverbal communication functions and what’s the meaning of nonverbal communication for intersemiotic translation in improving the quality of E-commerce advertisements to fulfill online marketing communication purposes.
A Linear-Time Algorithm to Find the Second Smallest Number

An algorithm is defined as a finite step-by-step procedure to accomplish a required result. It is also defined as a sequence of computational operations that convert the given input into the required output. In general, in the worst case, an algorithm is said to be optimal if there are no algorithms that perform a less basic number of well-defined operations, in the worst case. This paper presents an optimal algorithm for finding the second smallest among n numbers. The complexity of the proposed algorithm and its advantages are also analyzed in this paper.
Investigation and Analysis of Aerobic Exercise for Female College Students to Reduce Fat—Taking Shandong University of Traditional Chinese Medicine as An Example

Cardiovascular and cerebrovascular diseases caused by obesity reach as many as 30 million every year, which has threatened people’s lives. In my country, with the improvement of people’s material level and the change of dietary structure, the obesity rate is increasing year by year. At present, the obesity and overweight people in our country are showing a trend of rapid growth. Overcoming the obesity problem is a top priority now. Contemporary female college students pursue beauty, so they pay more attention to physical beauty. They have different understandings of aerobic exercise to reduce fat. This article uses mathematical statistics to compile a questionnaire to investigate the situation of college students’ aerobic exercise, found the shortcomings of female college students in the process of aerobic exercise to reduce fat, and summarized the aerobic exercise methods suitable for female college students.
Designerly Ways of Knowing in HCI Education: A Case Study of a Peer Community-Based Studio

Design methods and approaches are common within Human-Computer Interaction. And while design is recognized as a discipline with its own epistemology and pedagogy outside of HCI, there is a lot of work to be done in incorporating, facilitating, and developing designerly knowledge in HCI education. The abrupt shift toward distance education caused by COVID-19 surfaced the necessity for course design to purposely support online informal learning environments and facilitating tacit knowledge as previously prevalent in the design studio environment. Firstly, we present theory on design epistemology, related to “designerly ways of knowing” and the role of the studio in the learning process. Secondly, a case study presents the set up of a digital studio for a course in Designing User Experiences, with an emphasis on supporting a community-based studio. The empirical material includes an overview of the course set up and a thorough qualitative analysis of the feedback provided by a cohort of 48 students with diverse backgrounds. The course was conducted online and heavily based on the use of software such as Zoom and Miro. We conclude by offering a set of themes in three categories to be considered when designing community-based “designerly” courses within HCI. As future work, we suggest the Community-Based Designerly Scale to be used, adapted, and developed by teachers and students as a tool in their educational practice.
Counterfeit Currency Detection based on AI

Abstract: The use of technology has grown tremendously within the few years it has made it easier to have access to advanced printing equipment in the industry which resulted in color printing of currencies to produce counterfeit notes across the country. To eliminate such unethical activities of printing counterfeit currency it is mandatory to make a system that detects the fake currency, In systems such as a money exchanger for example ATMs and vending machines, counterfeit currency notes must be detected beforehand exchanging process takes place. In the past, there have been similar systems developed based on methods such as image processing techniques that are done on the Matlab platform and other such platforms these methods possess some limitations including being less efficient and time-consuming. Our system is designed to eliminate all of the above problems through the use of deep learning techniques by detecting the features of currencies and determining whether its fake with a great accuracy rate. our proposed system verifies the Indian currency notes using Deep learning, deep learning helps in extracting meaningful information from the dataset fed into the machine using a set of methods to perform the classification of images. Our project makes use of the deep learning framework TensorFlow and its high-level API Keras which simplifies the creation of the model making it easier to achieve a less time-consuming and accurate model. Index Terms: Currency Detection, Deep Learning, Deep Neural Network, Convolution Neural Network
Analysis of Online Marketplace Scams

One of the many effects of the Covid-19 pandemic was reflected in the accelerated migration of many face-to-face activities towards the online environment, with online trading experiencing a significant growth during this period. At the same time, the risks specific to the digital environment have gone through a prosperous period. Thus, a telling example is given by the period August - December 2020, during which, at the level of the relevant authorities (D.I.I.C.O.T. and the Romanian Police) were registered approximately one thousand cases, based on cybercrime with similar modus operandi. These cases involved the collection of personal data through online resources, phishing, targeting in particular those who posted advertisements for the sale of objects through the OLX platform.
APPLICATION TO DIAGNOSE INTERNET ADDICTION ON STUDENTS/ HIGHER EDUCATION BASED ON WEB-BASED USING FORWARD CHAINING METHOD

The rapid development of technology makes everything easier. As time passes, technology is growing and human needs can be easily fulfilled. The problem in technological development that is going faster every day is that the development can not be stopped, but the standard of human need for technology will be higher. Researchers write the meaning of application and internet addiction which is the topic of this scientific work. The researcher is using the Forward Chaining method in the process of making this application and using the Waterfall model as a system development method. Researchers also include the understanding of the internet, and the object that researcher researched, which is college student. Researcher gather information by questionnaires and literature study, collecting information such as student data from various colleges and reviewing for books, journals and websites for reference to this research. This website is created to determine the internet addiction of college students in general so college students and parents can find out the impact and find solutions for those who have Internet addiction. Through the research process and the website development that has been done, the researcher concludes that the website that the researchers has created can be useful for students to determine the level of internet addiction owned by the student
Inert and mobile agents navigation interaction using reciprocal velocity obstacles for collisions avoidance

Reciprocal velocity obstacles (RVO) is a method used for multiagents navigation that enables collision and oscillation-free avoidance against other mobile agents. Despite its ability in collision avoidance between agents, RVO has a hard time dealing with static obstacle avoidance. This problem has led to a tendency to use RVO only for agents avoidance and use other methods to handle static obstacles avoidance. In this paper, we present our new approach for interaction between mobile agents against static obstacles in the RVO based collision avoidance. We propose a concept called inert agents that interact as static obstacles. This inert agent is stand firm as static obstacles should be, while the inert agent also able to satisfy reactive collision avoidance nature of RVO to produce better avoidance result. We conduct an experiment to compare the performance of avoidance in a certain scenario. Our method shows better results when compared with generic static obstacles.
Drowning Detection System using LRCN Approach

Abstract: This project provides the insights of a real-time video surveillance system capable of automatically detecting drowning incidents in a swimming pool. Drowning is the 3rd reason for the highest unintentional deaths, and that’s why it is necessary to create trustable security mechanisms. Currently, most of the swimming pool's security mechanisms include CCTV surveillance and lifeguards to help in drowning situations. But this method is not enough for huge swimming pools like in amusement parks. Nowadays, some of the security systems are using AI for drowning detection using cameras situated underwater at a fixed location and also by using floating boards having a camera mounted on the bottom side so that underwater view can be captured. But the main problems in these systems arise when the pool is crowded and vision of cameras is blocked by people. In this project, rather than using underwater cameras, we are using cameras situated on top of the swimming pool to get an upper view of the swimming pool so that entire swimming pool will be under surveillance all time. Keywords: Computer vision, Convolutional neural network, Convlstm2D, LRCN, UCF50, OpenCV.
A Research of Cybersecurity and Threats in Emerging Technologies

Abstract: Cyber security is crucial in the information technology field in today's world. Because every piece of data is now housed online, securing data has become one of the most challenging responsibilities. The first thing that comes to mind when we think of cyber security is cyber criminals, namely hacking, which is on the rise. To tackle cybercrime, several governments and corporations are pursuing several measures. Aside from spectacular attempts, many people still have concerns about cyber security. This study focuses mostly on the issues that cyber security faces with emerging technology. It also concentrates on the most important aspects of data security, such as methods, ethics, and developments that are transforming the public's belief in cyber security. Keywords: Cyber security, cybercrime, firewall, social media, cloud computing, and hacking
Alterations in Some Coagulation Factors (F VII and F XII), PT, APTT and D-Dimer) in Newly Infected Tuberculosis Patients from South-Southern Nigeria

Tuberculosis (TB) is a major health concern as well as leading infectious killer disease in man caused by the bacterium Mycobacterium tuberculosis. This study was carried out to assess the effect of tuberculosis on some specific coagulation factors (F VII and F XII), PT, APTT and D-Dimer). It wias caried out at the Tuberculosis and Leprosy Hospital Igbogene, the Federal Medical Center (FMCY) and Niger Delta University Teaching Hospital (NDUTH) all in Yenagoa Local Govt Area of Bayelsa state, Nigeria. Ethical approval and participant’s informed consent were obtained. Fifty (50) newly diagnosed TB subjects and 50 apparently healthy control subjects participated in this study. Specimens used were Sputum and blood. PT was assayed by the Quick one stage method. Fortress diagnostics reagents were used for the APTT assay while D-Dimer was tested by the sandwish immunodetection method by ICHROMAX. The data gathered from this research were analyzed using SPSS statistical software version 20.0. The results for the haemostatic parametres shows significantly higher (p&lt;0.05) PT, APTT, and D-Dimer values, but significantly lower (p&lt;0.05) F VII in newly diagnosed TB subjects when compared to controls group. There was no significant difference (P&gt;0.05) in F XII in newly diagnosed TB subjects when compared to the controls. The results from this research indicates that Tuberculosis disease greatly altered almost all the, haemostatic, parameters studied, except coagulation factor XII that was virtualy unaltered.
Demographic variables and their impact on the level of job performance of employees of the Ministry of Labor in the Sultanate of Oman: المتغيرات الديمغرافية وأثرها على مستوى الأداء الوظيفي لدى موظفي وزارة العمل في سلطنة عُمان

The current study aimed to identify the reality of job performance and the impact of demographic variables on the level of job performance among employees of the Ministry of Labor in the Sultanate of Oman. The study has followed the descriptive analytical approach, and the questionnaire was selected as an essential means of data collection. The (337) questionnaires were distributed to the study sample from various administrative divisions of the Ministry, and the data was analyzed by the Statistical Package of Social sciences (SPSS). The results of the study revealed that the level of job performance among employees of the Ministry of Labor in Oman is very high. The results also showed that there are no statistically significant differences between the following variables (age, scientific qualification, career level, and number of years of service) and level of job performance, except the gender variable, where statistical differences were in favour of the male sample.
Arabic open information extraction system using dependency parsing

&lt;p&gt;Arabic is a Semitic language and one of the most natural languages distinguished by the richness in morphological enunciation and derivation. This special and complex nature makes extracting information from the Arabic language difficult and always needs improvement. Open information extraction systems (OIE) have been emerged and used in different languages, especially in English. However, it has almost not been used for the Arabic language. Accordingly, this paper aims to introduce an OIE system that extracts the relation tuple from Arabic web text, exploiting Arabic dependency parsing and thinking carefully about all possible text relations. Based on clause types' propositions as extractable relations and constituents' grammatical functions, the identities of corresponding clause types are established. The proposed system named Arabic open information extraction(AOIE) can extract highly scalable Arabic text relations while being domain independent. Implementing the proposed system handles the problem using supervised strategies while the system relies on unsupervised extraction strategies. Also, the system has been implemented in several domains to avoid information extraction in a specific field. The results prove that the system achieves high efficiency in extracting clauses from large amounts of text.&lt;/p&gt;
Security Enhancements for Cloud Applications

This study scrutinizes the cloud applications infrastructure and the associated vulnerabilities that could allow unauthorized access to users’ accounts. The research is based on a Fault Tree Analysis that uncovers various security design flaws and their occurrence probabilities. For each undesirable event, a preventive mechanism is suggested and validated by the testing results, decreasing to a minimum the risk exposure of unauthorized access to users’ sensitive data.
Rancang Bangun Sistem E-Recruitment Karyawan Pada Intrack Market Services Sdn Bhd

The Covid-19 outbreak in our country has forced the acceleration of the digitalization era to avoid crowd in many ways, including the recruitment of new employee in targeted countrys. Besides that, Business expansion must continue, therefore looking for potential employees according to the company's competence is very necessary. The previous recruitment system by sending application files directly or by an e-mail followed with face-to-face interview was very difficult due to limited mobility during this pandemic. An e-recruitment system that can be accessed via the internet is expected to be a solution because applicants only need to send via website anywhere anytime and for companies they can do the screening from anywhere. The author starts with the assessment phase of previous research and then makes several UML such as use case diagrams, activity diagrams, deployment diagrams, component diagrams, class diagrams, and sequence diagrams. The author use the RAD method which emphasizes saving time on processing so that it can be immediately implemented using the PHP programming language assisted with framework Laravel and MySQL for the database. After that, do testing with Black Box Testing and prove that the e-recruitment system is able to run well as a company tool in getting employees by minimizing time and cost and being a place for storing applicant files efficiently as expected.
Analisis Data Mining Algoritma Decision Tree Pada Prediksi Persediaan Obat (Studi Kasus : Apotek Franch Farma)

Medicine is an object that is formulated by medical personnel to assist in preventing, healing, recovering, and improving the health of patients. Pharmacies are places that provide various types of drugs that are needed by patients, but pharmacies often have problems in providing drugs which result in a shortage of goods when someone needs it. aspect. This problem will be solved by using the C4.5 algorithm based on data obtained from the Franch Farma Pharmacy. The purpose of this study is to predict the supply of drugs that will be needed by dividing them into 6 variables, namely the name of the item, type of drug, inventory, initial stock, ending stock, and goal. The research test process uses Rapidminer software to create a decision tree. And the results obtained are 12 rules to predict drug supplies to be carried out by Franch Farma Pharmacy with an accuracy rate of 80.00%. From the results of the analysis, it is hoped that it can help pharmacists in making drug supplies more effective and efficient.
Blockchain integrated multi-agent system for breast cancer diagnosis

&lt;span&gt;The integration of multi-agent system and blockchain technology can be beneficial to healthcare applications by providing intelligent data analysis with security. This paper presents an architecture that integrates multi-agent learning system and blockchain technology to support breast cancer diagnosis in a secured manner. The proposed system is based on a parallel hybrid fuzzy logic approach for supporting the prediction of breast cancer disease. The proposed system showed a classification accuracy of 96.49% in breast cancer diagnosis when testing with the Wisconsin Diagnostic Breast Cancer dataset. The blockchain is used to provide agent security in the proposed system to ensure that the only trusted and reputed agents are participated in the decision-making process.&lt;/span&gt;
Penyisipan Pesan Pada File Dokumen Berekstensi Xls/Xlsx Menggunakan Metode Chinese Remainder

Information which is the result of processing from data has a different value for each person. Often information becomes very valuable and not everyone is allowed to know it, but there are always parties who try to find out information in ways that are not supposed to even intend to destroy it. There are several methods in steganography, one of which is a method to hide secret messages (text or images) in other files that contain text, images, and even audio without showing any real or visible changes in the quality and structure of the original file. . These methods include invisible ink, microdots, word management, digital signatures, hidden paths and wide spectrum communications. Chineses Reminder Theorem (CRT) is a concept based on a congruent relationship. However, unlike congruence in general, this concept is based on a simultaneous congruence relationship. Simultaneous congruence refers to several congruent relations that have a relationship with each other, and this relationship is related to the value of the same variable but with different modulo. This theory is an ancient theory that is often used in cryptography applications.
Perancangan Aplikasi Terjemahan Ayat Suci Al-Qur’an Menggunakan Algoritma Winnowing

Al-Qur’an is the holy book of Muslims which has different parts of the translation between different verses. This makes it more difficult for ordinary people who do not understand Arabic to know the content and meaning of the holy Qur'an. Technological developments can assist in facilitating the search for information, especially the translation of the holy verses of the Qur'an. The string matching technique is one way to facilitate searching and the winnowing algorithm is included in one of the string matching algorithms. The winnowing algorithm is one of the algorithms with the fingerprinting document method. The fingerprinting document will generate a hash value which is called a fingerprint. This fingerprinting will be the basis for comparing the selected documents. In finding the value of the winnowing algorithm translation application using the jaccard similarity calculation. Search conducted using the winnowing algorithm to search based on the name of the surah found in the holy Qur'an. And the output is in the form of a verse found in the letter along with its translation. Search using the winnowing algorithm has a 100% similarity level between text and pattern searches