Reviewerly/exHarmony huggingface dataset:
Detecting Twitter Bots with Machine Learning and Propagation Graph Analysis

Twitter is a social networking platform that offers microblogging services to millions of accounts every day. However, not all of these accounts are operated by actual (real) individuals. Many accounts are controlled by automated software, commonly referred to as “bots”. While Twitter doesn't explicitly prohibit the presence of bots, it does establish rules that govern their usage. Twitter encourages the use of bots for positive purposes, such as sharing helpful information and enhancing the user experience. On the other hand, malicious activities like spamming or harassing users are strictly prohibited. The identification of Twitter bots has become increasingly crucial, particularly in preventing the spread of misinformation and maintaining online discourse quality. Existing methods for detecting Twitter bots primarily rely on feature-based and text-based techniques. In our research, we propose a graph-based approach to identify Twitter bots and as a first step employ classical network analysis to examine the behavior of bot accounts within the Twittersphere. The paper outlines the process of data collection and graph propagation construction and conducts network analysis on the real and bot accounts propagation graphs. Additionally, a machine-learning model utilizing the Weisfeiler-Lehman graph kernel for graph classification is presented. The findings obtained from classical network analysis reveal significant differences in network structures between real user relationship graphs and bot relationship graphs. The results from various machine learning models in this paper also indicate that the graph-based model is more effective at distinguishing bot relationship graphs from real user graphs.
Structural Semantics Management: an Application of the Chase in Networking

The value of database in advancing networking - in the paradigm shift from protocols to software-defined networking - was once highlighted by database-inspired management of network states. Moving beyond factual states, this paper considers semantics management a new frontier in the databases-networking knowledge “transfer”, seeking to manage network policies via structural manipulation of the corresponding software (program). As a proof of concept, we make a case of semantics-based network transformation with the datalog structure and the chase, an elegant process for handling data dependencies (semantics). Our main result is an extension of the classic chase to faure-log; a networking extension of datalog for the richer networking policies.
Feature-Space Reinforcement Learning for Robotic Manipulation

Reinforcement Learning (RL) has gained popularity for developing intelligent robots, but challenges such as sample inefficiency and lack of generalization persist. The choice of observation space significantly influences RL algorithms' sample efficiency in robotics. While end-to-end learning has been emphasized, it increases complexity and inefficiency as the agent must re-learn forward and inverse kinematics. To address these issues, we propose a straightforward approach that utilizes readily available control techniques, such as forward and inverse kinematics, to capitalize on domain knowledge. Our approach involves enhancing the observation space with task-space features and utilizing task-space inverse kinematics. Our contributions include a proposal for mathematical formulation and a framework for RL algorithms in robotics.
The Elephant in the Room: Fluid Dynamics in the age of Machine Learning

"With four parameters I can fit an elephant, and with five I can make him wiggle his trunk," said John von Neumann in a powerful exhortation that physical models should contain only a handful of parameters. A century later, we seem happy to use physics-agnostic neural networks containing millions of parameters. What would von Neumann say? How should physical modellers respond? In this talk, I will frame a response within a Bayesian framework, in which physical principles such as conservation of mass and momentum are expressed as high quality prior information with quantified uncertainties. I will show how Bayesian inference becomes computationally tractable when combined with adjoin methods, and demonstrate this through assimilation of 3D Flow-MRI data directly into CFD, and selection of models in an acoustic problem.
Intellectual education in the process of training agricultural engineers

Intellectual education is an activity aimed at personal development, including such intellectual qualities as competence, creativity, a unique mindset, self-regulation, etc. Intellectual education is an integral part of the education process. The tasks of intellectual education are determined based on students’ intelligence, the level of their compliance with the requirements of professional activity. The authors conducted an empirical study of the peculiarities of mental experience of agricultural engineering students to assess the development of operational characteristics of thinking, determine the relationship between the parameters of intelligence and the level of self-regulation, the correlation of empirical data with the criteria of intellectual education. The study involved 97 students of the Institute of Mechanics and Power Engineering named after V.P. Goryachkin of Russian State Agrarian University - Moscow Timiryazev Agricultural Academy. The results of the empirical study demonstrated a direct relationship between the levels of development of thinking operations and components of volitional regulation of activity. The peculiarity of intellectual development of future agricultural engineers is insufficient formation of a number of intellectual skills, which hinders the formation of intellectual qualities of a professional. To ensure effective and successful engineering activity of graduates (training area 35.03.06 Agroengineering), it is necessary to expand students’ outlook, enrich general mental experience and form a set of professional knowledge, as well as train basic thinking operations.
Software Fault Prediction Using an Optimised Feature Selection Process Based on a Genetic Algorithm

Software Fault Prediction (SFP) is crucial for preemptively identifying software faults. This research tackles challenges in SFP, addressing class imbalance, significant metrics, and feature selection. To counter class imbalance, the Random Over-sampling method is employed, enhancing model predictive capacity for both faulty and non-faulty instances. Software metric categories like size, cohesion, complexity, coupling, and documentation are examined to identify influential metrics. Feature selection is optimized using a Modified Genetic Algorithm (GA), reducing dimensionality while maintaining efficiency. Experiments on a diverse open-source dataset demonstrate that this approach substantially improves prediction accuracy compared to traditional methods. This study introduces a comprehensive framework for robust SFP models. By handling class imbalance, recognizing significant metrics, and implementing effective feature selection, the proposed approach empowers practitioners to build more accurate fault prediction models, enhancing software quality and reliability.
Advanced IoT-AI Security System with Drone Surveillance: Campus Smart Security Prototype

People counting and tracking systems are increasingly in demand for surveillance applications. However, current systems suffer from several limitations. They are often centralized, which makes them vulnerable to disruption and difficult to mobilize. This paper presents a cutting-edge smart security system prototype that addresses these limitations. The system is decentralized, by using lightweight algorithms to process images locally on smart cameras. This makes it more reliable and scalable, and it also enables new features such as crowd recognition, noise detection, intruder identification, and people counting. The system is also integrated with the Internet of Things (IoT), Artificial Intelligence (AI), and Unmanned Aerial Vehicle (UAV) technologies to improve further its performance and user experience. For example, the system can use drones to deploy cameras to remote or difficult-to-access locations, and it can use AI to analyze camera data in real time to identify potential threats. The proposed system has been tested on the Hashemite University campus, with cameras placed throughout the campus and a drone station located at the faculty of engineering. The test results have been encouraging, indicating that the system has great potential for improving security in a variety of settings. The paper also investigates and analyzes critical observations made throughout the implementation and testing phases. These observations can be used to guide the development of future security systems.
Impact of Corporate Social Responsibility on Firm Reputation and Financial Performance: The Moderating Role of Servant Leadership

This study investigates the influence of corporate social responsibility (CSR) on firm reputation and financial performance within Afghanistan's banking industry, utilizing the frameworks of stakeholder theory and contingency theory. To gauge the perceptions of CSR, reputation, and performance among a sample of 200 employees from both private and public banks, a questionnaire survey was administered. The collected data was subjected to quantitative analysis. The findings reveal that socially responsible actions undertaken by bank employees exert a significant and positive impact on the bank's reputation and financial performance. Moreover, the study demonstrates that the relationship between CSR and financial performance, as well as CSR and firm reputation, is moderated by servant leadership. These results highlight how businesses that actively participate in social activities and adopt a servant leadership style can enhance their public image and financial performance. Keywords: Corporate Social Responsibility, Firm Reputation, Firm Financial Performance, Servant Leadership, Banking sector.
Digital linguistic atlas and computer linguistics, compatibility, and areas of contrast

The first generation of linguistic atlases has undergone a dramatic transformation from the paper version, which relied on the field survey of Arabic by gathering information and do basic statistics. and on linguistic maps by representation and analysis, to a second generation in an electronic version based on a language database that is stored, then analyzed, and computerized, based on technological progress and its applications in the field of maps, information systems, and on the other hand on modern linguistic trends, especially computer linguistics, this has created overlap and integration between computer linguistics and digital linguistic atlas, which raises the question of how much computer linguistics contributes to the design and completion of the digital linguistic atlas? What are the areas of contrast between them?
The role of artificial intelligence in the process of teaching Arabic for special purposes

We will stand in this research paper on the role of artificial intelligence in the process of teaching the Arabic language for special purposes, and thus determine the importance of using this technology in the Arabic language learner’s attainment of this language through artificial intelligence applications and the unique advantages and services it provides for special educational purposes.
THE USE OF BERLITZ METHOD TO IMPROVE STUDENTS’ VOCABULARY IN DESCRIPTIVE TEXT

The objective of this research is find out whether Berlitz Method improve students’ vocabulary in English Learning Vocabulary or not. The researcher applied Classroom Action Research (CAR). The sample of the research was the Seventh Grade of SMP Pesantren Guppi Samata Gowa and take class VII A with a research sample of 20 students.The results showed that the students of class VII A at SMP Pesantren Guppi Samata experienced an increase from cycle I to cycle II. Improved vocabulary comprehension through the Berlitz Method This indicates a significant increase in students' reading comprehension from the diagnostic test to cycle I and cycle II, where the average score on the diagnostic test was 42.75. cycle I get the average value to 68.25. There was also a significant increase from cycle I to cycle II where the average student in cycle II was 84.25. From these findings, the researcher concludes that the use of the Berlitz method can improve students' vocabulary skills and make students active in the learning process
Sociological concepts and issues A study in conceptual construction

This study aims to shed light on sociolinguistics, which is one of the most recent and fertile sciences, and its importance due to its attempt to realize what modern linguistics has overlooked, which is the context in which language issued, as well as knowledge of how language interacts with its surroundings? Considering the external factors that affect the use of language, the most prominent of which is society. It is also concerned with studying the linguistic problems that afflict peoples, who live at the mercy of Diglossia, Bilingualism ,multilingualism and other linguistic phenomen are sulting from political and intellectual conflicts that try to obliterate Her personality, and her heritage survey, and sociolinguistics works to develop linguistic plans to preserve peoples' culture and thought from extinction through linguistic planning.
USING SHADOWING TECHNIQUE IN TEACHING SPEAKING TO THE ELEVENTH GRADE STUDENTS OF MAS DARUL FATH BONTOLANGKASA

The objective of this research was to find out the students’ speaking skill by using shadowing technique at the Eleventh Grade of MAS Darul Fath Bontolangkasa The researcher used a pre-experimental research is included in the Quantitative method. Quantitative method is a method of collecting and analysing data from various sources in an organized manner. Quantitative method which emphasized on Shadowing Technique application as treatment and it’s impact on student speaking skill. Purposive sampling technique to be used in this research. It consisted 1 class of the students, the number of population was 7 students.The sample of this research was class XI in which the number of the sample was 7 students. The instrument of this research was used speaking test. In collecting the data the researcher used test namely speaking test which was distributed in pre-test and post-test and used the research instrument was speaking test. Based on the findings, it was found that students were could be taught to speaking and indicated that achievement of the Eleventh Grade of MAS Darul Fath Bontolangkasa was improved by using shadowing technique .This was evidenced by the mean score in terms of content pre-test was 61 and post-test was 80the improvement of the content was 0.32 % which means there was significant difference between pre-test and post-test. Based on the research finding the researcher concluded that using shadowing technique in teaching English for students’ proven improved their speaking skill.
TEACHERS’ STRATEGIES AND STUDENTS’ PROBLEM IN ENGLISH SPEAKING

This study aimed to find out students' problem in English speaking and the teachers' strategies to overcome students problem in English speaking. In this study, researcher used descriptive qualitative method to describe and interprete an object in accordance with reality. Descriptive methods implemented for data analysis presented descriptively. The subjects of this study were 2 English Teachers of SMA Muhammadiyah 3 Makassar and 5 students’ of the 10 grade that were randomly chosen. The instrument used to get data was interview.The results of all data collected by interviewing the students’ problem in speaking are lack motivation, shyness, and anxiety when they speak English and the teacher strategy in english used direct method in maintain the problems and made sudents accustomed to English by always using english in class during the teaching and learning process.
AN ANALYSIS ON EMPHATIC LISTENING STYLE IN EFL CLASSROOM

The objectives of this research are: (1) To explore the styles of empathic listening skill used by EFL teacher in the classroom at SMP Negeri 4 Majauleng; (2) To determine EFL students’ perceptions toward empathic listening skill in the classroom at SMP Negeri 4 Majauleng. This study employed a qualitative research methodology. The researcher used a qualitative method, observing classrooms through video and audio recording, documentation, and interviews with teachers and students. The subject of the research was 20 students from one class who have participated in emphatic learning activities and assessed their views of emphatic listening in the learning activity SMP Negeri 4 Majauleng. The instrument of the research used observationand Interview. The Result of the research show that EFL teacher of SMP Negeri 4 Majauleng applied five empathic listening styles, they are questioning, advising, judging, analyzing and supporting. The students gave positive perception toward the used of empathic listening skill by the teacher in the classroom due to the fact that the emphatic listening gave good influence to the listening skill of the students.
THE STUDENTS PHONOLOGICAL AWARENESS ON READING COMPREHENSION AT SENIOR HIGH SCHOOL

This research aims to find out the significant correlation between students` phonological awareness and reading comprehension at senior high school. This research employs a descriptive quantitative research design. The research population consisted of 21 samples from Ma Pesantren Al-Tenth Qamar's grade. Purposive sampling was used, and data was collected using phonological awareness and reading comprehension tests. The data was analyzed using SPSS 25.0 by the researcher. The average of the phonological awareness test was 79,28, and the average of the reading comprehension test was 72,85, based on findings of this study. At the 0.05 level of significance, the correlation coefficient was 0.711. The correlation coefficient (0.711) was within the range of 0.600 - 0.800, indicating that the interpretation of correlation could be classified as enough. Based on the findings, it was possible to conclude that the correlation coefficient Ha was accepted. As a result, there was a strong relationship between students' phonological awareness and reading comprehension
HISTORICAL AND GENESIS ANALYSIS OF IT TRAINING PROBLEMS OF SPECIALISTS IN THE HEALTH CARE INDUSTRY IN UKRAINE

The publication is devoted to the study of the peculiarities of the development of informational training of future specialists in the health care industry in Ukraine. Achieving the aim of the research was ensured by the use of the bibliosemantic method for the analysis of scientific-methodical, psychological-pedagogical literature and normative documents on the research problem; method of system analysis for comparison and generalization of experience regarding information training in medical (pharmaceutical) universities; empirical methods – conversations and interviews of participants in the educational process. It has been found that the prerequisites for the formation of informational training of future masters of medicine are well-founded, however, as a pedagogical phenomenon, it goes into a constant process of transformation, which is connected with scientific and technical progress and unification with European standards, according to which is formed the training of higher medical education students. The analysis of historical origins and consideration of the content characteristics of the process of information training of future masters of medicine allows us to apply information training as a process of forming information and digital competence based on the study and use of tools and methods of informatics, information communication and digital technologies according to the principles of multilevel, continuity, professional orientation, and as well as compliance of the purpose, main tasks, content, organizational forms, methods, means and results of education with the achieved level and the needs of further scientific-technical, socio-economic and cultural development of society. It has been established that the informatics training of future masters of medicine should not be focused only on the familiarization study of a set of certain concepts or information and digital technologies, even the most modern ones, after their study is always limited by the cognitive ability of those seeking higher education, the possibilities of material and technical support of the educational process, and time frames.
MODEL DAN STRATEGI PEMBELAJARAN QUANTUM TEACHING &amp; LEARNING

This research presents an exploration of the Quantum Teaching &amp; Learning model and its associated strategies. Quantum Teaching &amp; Learning is an innovative approach to education that blends various pedagogical methods, technology integration, and learner-centric practices. This study delves into the key components and principles of the model, emphasizing its adaptability to diverse educational settings and subjects. The research also investigates the effectiveness of Quantum Teaching &amp; Learning in enhancing student engagement, critical thinking, and overall learning outcomes. Additionally, it discusses the challenges and opportunities for implementing this model in contemporary educational contexts.
STRATEGI GURU DALAM MENUMBUHKAN MINAT BACA ANAK MELALUI MEDIA KARTU GAMBAR DI SEKOLAH

&#x0D; &#x0D; &#x0D; &#x0D; The purpose of this study is to document and analyze the experience and impact of using picture card technology to increase children's interest in reading. Descriptive qualitative research allows researchers to thoroughly understand how children engage and respond to this learning approach. As part of this study, several young children were provided with a learning environment enriched with picture cards. Data was collected through participant observation, interviews with teachers and children, and recording of learning activities.We then used a thematic coding process to identify patterns, themes and other key elements that emerged as children navigated their learning strategies. We then used a thematic coding process to identify patterns, themes and other key elements that emerged as children navigated their learning strategies. The research showed that picture cards made young children more interested in reading. Children's comprehension of stories increased, their creativity in connecting pictures and words increased, and their enthusiasm for reading activities increased. In addition, the results revealed qualitative elements in the learning process, such as the influence of social interaction between children and visual approaches on children's literacy development.&#x0D; &#x0D; &#x0D; &#x0D;