Reviewerly/exHarmony huggingface dataset:
Automated Analysis of Comments on Press Articles in Websites (Journalist of Articles on Al-Ahram newspaper as study case)

Due to the increasing writers of press articles on electronic publishing sites for printed and certified newspapers, the reader faced the problem of reaching his goal by accessing these sites, which led to the neglect of a large section of important publications of press articles for the writers. The provision of an automated measure to verify the positive and negative press articles of the writers based on the analysis of readers' comments on the press articles is a necessity to see the important writers of the press articles that is compatible with corpus generated by us for inference. the proposed system was applied on ten press articles by the writer "". thses ten articles also evaluated by the experts. The project achieved the previous target and achieved a success rate. The proposed system is evaluated based on four metrics (Precision, Recall, F-measure and Accuracy) . The effectiveness results obtain by this system was (Precision= 95%, Recall= 95%, F-measure=95% and Accuracy=94%).
Comparative study on encrypted database techniques

Protecting data is the core of many secure systems and many users depend on a database management system (DBMS) to manage the protection. Databases are essential to many business and government organizations, holding data that reflect the organization’s core competencies. Database encryption refers to the use of encryption techniques to transform a plain text database into a encrypted database, thus making it unreadable to anyone except those who possess the knowledge of the encryption key(s). Encryption is becoming the last line of defense in database management system(DBMS)security. There is the essentiality of algorithms which are protected from intruder as well as maintain the performance of the system. Therefore, this paper presents most of the recent works that have been conducted on encrypted database techniques and analyzes them to clarify the pros and cons points in each related work. This paper has focused on previous studies for both symmetric and asymmetric encryption techniques. However, they missed to show some numerical analysis that would help readers to deeply understand the difference among different techniques.
The Factor Analysis in determining the most important Factors influencing Basra University students' reluctance to Electronic -learning

This study aimed to use the factor analysis, which is a scientific method for analyzing multivariate data and reducing it to a smaller number of factors.. The researcher depend on data obtained through a questionnaire whose paragraphs were inspired by a student’s opinions of the College of Administration and Economics / University of Basra for the academic year 2019 -2020, with whom they were contacted electronically to find out the reasons for students' reluctance to electronic education and accept it as an alternative to classical education in light of the pandemic conditions of Corona. The researcher relied on the questionnaire of (22) questions as variables for the study. Results were obtained using the statistical program spss v. 19 The study concluded that the variables were reduced to (8) basic factors, which explained a variation of (72,221%) of the total variance.&#x0D; And the most important factors are that e-learning leads to introvertedness and that it is an innovation that must end and the interruption of the Internet and the electrical current and the lack of knowledge in the use of electronic platforms and the lack of students' possession of smart phone devices and their own computers that make the process of e-learning difficult and tiring
Proposed Arabic Information Retrieval System Using Cat Swarm Optimization

According to the recently published research, the developed Information Retrieval systems are concerned with English language documents compared to all others in Arabic language. لإthe morphological difficulty of Arabic language increases the concerns for the availability of Arabic test copora. Therefore, This paper presents an Arabic information retrieval system for text documents. The proposed algorithm uses Cat Swarm Optimization to select the most important features with the cosine similarity. In addition, it finds the most relevant document to user query. The simulation results in using the standard NLEL of Arabic dataset corpus. The proposed algorithm for Arabic document retrieval uses swarm optimization with cosine similarity which provides effectively with accuracy 81.4%.
Steganography Technique for Embedding a Variety of Binary Images inside a Grayscale Image

Because of the rapid development and use of the Internet as a communication media emerged to need a high level of security during data transmission and one of these ways is "Steganography". This paper reviews the Least Signification Bit steganography used for embedding a variety of related binary images in a single grayscale image rather than traditional methods of embedding information which is embedded one image in another image (cover image). First three images represent the secret images which are used for hiding from unauthorized users while other images used for making more difficult and more secret watermark. In this paper, we have merged both methods of hiding and watermark. Instead of either creating a watermark or hiding secret data in a grayscale image, we can use both of them at the same image to take advantage of both the hiding and watermark properties at the same time. The findings of the research were the results as a new watermark composed of multiple related binary images and hidden secret multiple binary images inside.
Implementing Writing Skills through The Genre Approach

Despite being largely regarded as a foreign language; English plays an undeniably significant part in Palembang's economy and educational system. Contrarily, research reveals that English proficiency among Palembang pupils’ declines. This article details a study that looked at how much EFL English majors at PGRI Palembang University improved their ability to write argumentative essays after being subjected to genre-based writing exercises with their writing instructors. The findings showed that students consistently struggled to criticize or refute opposing viewpoints and come up with more powerful rebuttals, even after being exposed to the preparation of genre-based argumentative essays. However, they were able to demonstrate development in their ability to recognize the rhetorical structures (genres) and lexicon-grammatical characteristics of the full argumentative essay. The strategy received favourable feedback from the participants. The paired sample t-test also revealed that students' post-intervention argumentative texts significantly outperformed their pre-intervention drafts. It is commonly accepted that students may regulate the linguistic aspects of the type of text with a specific communicative aim and comfortably enhance their writing skills by studying through a genre-based approach to writing. The consequences for teaching writing in an EFL setting are demonstrated in this essay. Additionally, it urges the adoption of a genre approach in EFL writing classes.
The Analysis of Netspeak Used on Instagram

Analyzing netspeak used on Instagram involves examining the linguistic and communicative features that are common on the platform. Instagram is a highly visual social media platform, and while it primarily revolves around sharing images and videos, text-based communication in the form of captions, comments, and direct messages plays a crucial role in enhancing the user experience and conveying meaning. This study attempts to discover the use of written communication features on researchers Instagram explore bar. The qualitative method is applied and the data was gathered through observation and documentation and then analyzed in terms of graphology, typography, grammar, vocabulary, and discourse features. This research found some distinctive graphic features such as emojis, correct spelling, lack of punctuation, hashtags, and turn-taking that presents unique coherence and chronological order. The result highlights the complex aspects available in the data, including informality and anomalies that frequently break the rules of conventional language enforced by internet users. Furthermore, the discovery demonstrates that written language development on Netspeak is a method for overcoming expressive obstacles in Instagram communication.
Quentin’s Personality Development in John Green’s Paper Towns

The purpose of the study is to explain Quentin’s personality before meeting Margo and how it is after meeting Margo in John Green’s Paper Towns. The main character, Quentin, changes from being static person in life such as having no ambitions, being a coward person, and disciplined one before meeting Margo to being a dynamic person such being an ambitious person, being a brave person, and being an insubordinate one after meeting Margo. The kind of change in life draws the researcher’s interest to conduct the analysis in this article since human’s thought develops from time to time whose developments could do the person either harm or good. However, this personality change does the main character good. Using emotional and social determinants and close reading method, the researcher conducts a deep observation about the main character’s personality and finds its change from unambitious, coward, and discipline before meeting Margo to ambitious, intrepid and insubordinate after meeting Margo. Thus, two of the eights determinant give a significant change of life of the main character, therefore, such determinants are worth studying very deeply as such knowledge is very necessary to make people able to manage available determinants they encounter in their daily life. Finally, the finding is to develop the theory of literature in application, namely, the personality development by Hurlock.
Engaging EFL Students through KWL Strategy in Reading Comprehension: A Case Study of Four Students at a Junior High School in Karawang

Reading comprehension challenges the students’ understanding the meaning of the text. This study aim to exploring students’ behavioral engagement through KWL strategy in reading comprehension. The research method used in this study is descriptive case study with a qualitative approach. This research was conducted with limited to 4 students at eighth grade. The results showed that the KWL strategy gives students a better reading experience by enabling them to understand English text more quickly. The KWL strategy can make students more focused in learning reading comprehension. The KWL technique can also has encouraged students’ participation to learn more actively in analyzing the reading comprehension with peers and teacher. Finally, the KWL strategy can give teaching that builds students’ enthusiasm for developing their ability to reading comprehension; almost all students feel this enthusiasm after implementing the KWL strategy. This research suggest that teachers should expand or develop their teaching strategies to produce better learning experiences.
A Survey on Optimization Methods Used for Early Prediction and Diagnosis of Schizophrenia Disorder

MRI is the most influential and flexible tool used for the diagnosis of various pathological alterations of living tissues. Identification of structural abnormalities in brain has become a rising attention for the early prediction and diagnosis of schizophrenia from the healthy controls. Recognizing the biomarkers in schizophrenic patients and related conditions will be highly beneficial in discriminating the psychic disorder. Neuro imaging explains the brain images by using the information provided by either of these techniques like computed tomography, magnetic resonance imaging and positron emission tomography, out of which Structural neuroimaging studies can provide some of the most consistent evidence for brain abnormalities in schizophrenia. The motivation of the work is to get more significant diagnostic data. As the electronically captured images might be inappropriate and needed to be fine-tuned such as removing the noise, separating different shades using segmentation operations and many more. To analyze the magnetic resonance imaging methodologies used in non-invasive clinical investigations more affectively, these can be upgraded by the application of suitable optimization methods. In many studies it is evident that the conventional mathematical models are not enough in obtaining better solutions for real-time applications. Coming to medical imaging accuracy is playing much more important role in early diagnosis and treatment suggestions. To obtain the best solution medical imaging and diagnosis optimization techniques are playing a much more important role nowadays. Especially nature-inspired algorithms. Here a detailed survey has been made to show how the optimization techniques can be used effectively in obtaining accurate data to characterize disease-related alterations in brain structures and used for early diagnosis.
Designing A Problem-Based Learning Module of English for Naval Architecture

Being an archipelagic country is an added value in various fields for Indonesia. One way to develop archipelagic potential in Indonesia is to improve the quality of human resources in related fields, one of which is naval architecture. A quality that is no less important is the ability to speak English. This study aimed to design a teaching material in the form of module of English for naval architecture using problem-based learning in order to expose students to real world problems. This research employed Research and Development (R&amp;D) using ADDIE design. The phases of this model were analysis, design, development, implementation, and evaluation. This research was conducted in Politeknik Negeri Bengkalis and involved 50 students of Naval Architecture department. The research subjects were involved in defining the topic needs for the module, implementing the module and evaluating the module. The topic of the module is the ESP (English for Specific Purposes) topic. There are some parts of the module: the first part of the module is module identity; the second part is module component; the third part is module material; and the last part is evaluation. In the evaluation part, problem-based learning is used. This module is expected to contribute to the improvement of naval architecture students’ ability in English and further prepare them for their future work and career.
Discussion on the Integrated Teaching Mode of Science and Education Based on PBL—"Take Solar Energy Desalination Xinjiang Salt-Alkali Water Treatment" as an Example

Under the requirements of environmental protection and promoting sustainable development, solar energy, as a clean and mature technology in the field of chemistry, plays a significant role in the learning of university and high school chemistry. In Xinjiang, especially in the southern region, there is a large area of saline-alkali soil with various types, heavy salt accumulation, and complex formation, which seriously hinders the sustainable development of agriculture and animal husbandry and ecological environment protection, impeding local economic development. Based on the course "Fundamentals of Materials Engineering," and taking "Solar Energy Desalination for Saline-Alkali Water Treatment in Xinjiang" as a problem-oriented approach, this study adopts a student-centered and teacher-guided teaching model, incorporating a series of driving questions. This not only stimulates students' interest in learning and cultivates higher-order thinking skills but also integrates cutting-edge scientific research information into educational activities, facilitating the integration of "science and education."
A Practical Study of Project-based Learning Approach Pointing to Deep Learning in College English Teaching

With the further development of English teaching theories, English teaching modes have become more and more diverse, but the problems of shallow teaching, fragmentation of learning information, and low motivation of learners in the classroom are still prevalent. Deep learning is based on cognitive theory, which takes deep processing of knowledge information and transforming it for application in new scenarios as its main purpose; the project-based learning method takes learners as the core and encourages them to explore actively as its main purpose. Therefore, this paper aims at the deep learning theory and applies the project-based learning method to the English classroom in colleges and universities, hoping to add to the deep learning theory and make reference to the teaching mode in colleges and universities.
Exploration and analysis of the use of modern electronic equipment in music laboratories to assist college course teaching

In the music laboratory of colleges and universities, for students majoring in music, because the teaching techniques are different from those of general majors, and the particularity of students' creative learning, music courses are taught through practice, experiment and exploration. In today's society, with the continuous development of science and technology, the Internet and education have developed in parallel and become key factors that affect the destiny of the times. In the process of development, people organically combine the two, and educational informatization has gradually emerged and developed. The so-called educational informatization mainly refers to modern information technology based on modern electronic equipment (computer multimedia and network communications) in the context of information socialization. The development of educational informatization has broken the geographical limitations of education and has important practical significance for colleges and universities in course teaching. The number of people using modern electronic devices is increasing rapidly, not only for communication, information search and entertainment (viewing photos and video materials, communicating in social networks, as a platform for video games, etc.), but also for educational and creative purposes ( painting, composing, etc.). Academic musicians, educators, and theorists gradually became involved in this process, hoping to use modern electronic equipment to achieve their goals. Especially during the three-year quarantine period, online teaching used modern electronic equipment to the extreme, and fundamentally adjusted our courses and work habits. Therefore, the use of modern electronic equipment (especially computer technology) in music laboratories has been used successfully by many composers and performers for tasks such as sound synthesis, gesture control and automatic or computer-assisted composition. Continuous advances in computer processing power and data analysis techniques have also created an environment that offers great potential for music theory research. It's now not only possible to apply the same type of pattern recognition algorithms to music that make tasks like automatic speech recognition and optical character recognition possible, but it can also be accomplished using a simple desktop or laptop computer.
Research on Parents' Awareness of Children's Programming Education in the Age of Artificial Intelligence--Taking Ningxia Guyuan City as an Example

Since the Ministry of Education's circular on the issuance of the Outline of Guidance for Primary and Secondary School Information Technology Courses (Trial) in 2000, the first batch of students who received information technology education at the compulsory education stage have become parents. Today, more than two decades later, this group of parents, faced with the fast-developing artificial intelligence era, have found that the study of the environment and current situation of children's programming education and their knowledge of children's programming education has found that: parents have a better understanding of the artificial intelligence devices and children's programming education in their environment. Parents' computer literacy has been greatly improved and they pay more attention to their children's computer education. Parents have their own views on their children's development of computer thinking and learning child programming. Parents are positive about the effect of computer education. It is hoped that the results of this study can provide information for the research on the development of children's programming education and the improvement of children's programming teaching methods.
Prediction of Bright Sunshine Duration and Solar Radiation over Sudan Using Simple Empirical Equations

Abstract This study was set to investigate the possibility of prediction of bright sun shine duration over Sudan using simple equations. Bright sunshine duration data was collected for three periods ; a pre 1963 period data set for 14 stations, a data set for 18 stations for the period 1961-1990 and also a data set for 18 stations for the period 1971-2000. In addition, a data set of solar radiation for 16 stations was obtained for the period 1951-1980.The ultimate source of the data was the Sudan Meteorological Authority. The data was analyzed for correlations between BSD and SR on one hand and the stations coordinates on the other hand using linear regression. The results showed that annual bright sunshine duration and to some extent annual solar radiation can be predicted for various geographical locations using simple empirical equations in the absence of better alternatives. Keywords: Prediction, sun shine duration, solar radiation, coordinates, Sudan
Cloud computing- Benefits, challenges, and promises

The era of cloud computing has ushered in a transformative approach to information technology, redefining the operational modalities for businesses and individuals alike. With an overwhelming shift towards Software-as-a-Service (SaaS) models, the cloud landscape is proving to be both promising and challenging. This study undertook a mixed-methods approach, surveying IT professionals and interviewing organizational leaders, to gauge the current state of cloud adoption. Our findings underscore the dominance of SaaS, with security emerging as a paramount concern. Comparative evaluations of major cloud providers further elucidate the nuances in offerings and pricing strategies. As cloud computing continues its upward trajectory, the onus is on understanding and addressing its multifaceted challenges while leveraging its myriad benefits. This paper concludes by highlighting pivotal areas for future research, encompassing hybrid cloud strategies, the amalgamation of emerging technologies, and cloud's role in Industry 4.0.
Social engineering

The realm of cybersecurity is replete with challenges, not least among them being the art of social engineering. This form of attack leverages human tendencies such as trust, leading to potential breaches. Though more covert than brute force or technical hacks, social engineering can be insidiously effective. Within this exposition, we probe various manifestations of social engineering: from phishing to pretexting, baiting to tailgating, and the subtle act of shoulder surfing, concluding with mitigation strategies.
Harnessing the power of federated learning to advance technology

Federated Learning (FL) has emerged as a transformative paradigm in machine learning, advocating for decentralized, privacy-preserving model training. This study provides a comprehensive evaluation of contemporary FL frameworks TensorFlow Federated (TFF), PySyft, and FedJAX across three diverse datasets: CIFAR-10, IMDb reviews, and the UCI Heart Disease dataset. Our results demonstrate TFF's superior performance on image classification tasks, while PySyft excels in both efficiency and privacy for textual data. The study underscores the potential of FL in ensuring data privacy and model performance, yet emphasizes areas warranting improvement. As the volume of edge devices escalates and the need for data privacy intensifies, refining and expanding FL frameworks become essential for future machine learning deployments.