Reviewerly/exHarmony huggingface dataset:
Political Hate Speech Detection using Machine Learning

In the digital age, the detection of hate speech has become a crucial task, given the pervasive and detrimental impact of offensive content on individuals and communities. This project is dedicated to developing a machine learning-driven approach for the identification and mitigation of hate speech within online platforms.The primary aim of this research is to explore the effectiveness of various machine learning algorithms in the accurate and efficient detection of hate speech in political speeches. The project entails the collection and preprocessing of a substantial dataset consisting of user- generated content from social media platforms and online forums, with annotations indicating hate speech content. The dataset is then partitioned into training, validation, and testing sets, and natural language processing techniques are employed to extract relevant features. Diverse machine learning models, including logistic regression, support vector machines are implemented and fine-tuned using the training data. In summary, this contributes to the ongoing fight against hate speech in political speeches by harnessing the power of machine learning. The findings not only shed light on the challenges and potential solutions in hate speech detection but also pave the way for the development of more robust and precise systems, ultimately fostering a safer and more inclusive online environment. Key Words: Hate Speech Detection, Political Hate Speech , Machine Learning, Offensive Content , Support Vector Machine.
LearnHub: Your All-in-One Study App

Abstract: This ambitious project delves into the pressing research challenge of augmenting students’ access to valuable information by harnessing the capabilities of an AI-powered chatbot that draws upon professors’ meticulously curated notes. The methodological approach employed for this endeavor is a comprehensive one, entailing the development of a sophisticated chatbot application. This application seamlessly integrates the prowess of ChatGPT’s natural language API, utilizes Firebase to establish a robust backend infrastructure, and adopts React Native to craft an intuitive and user-friendly interface. The outcomes of this undertaking are nothing short of remarkable. The project has given birth to an innovative application that proficiently ingests notes furnished by professors. Leveraging the unparalleled natural language processing capabilities of ChatGPT, it deftly generates responses to the myriad inquiries posed by inquisitive students, all while drawing upon the rich repository of professors’ notes. In essence, this extensive and groundbreaking project stands as a testament to the fusion of state-of-the-art AI and mobile development technologies. It has ushered in a transformative paradigm, presenting a novel avenue for students to effortlessly access the invaluable materials meticulously curated by their educators. This, in turn, holds great promise for enhancing the quality of learning and boosting overall student engagement Keywords: AI- powered chatbot, Professors’ notes, Chatbot application, Learning and engagement, Chatbot accuracy INTRODUCTION The purpose of this investigation is to develop an AI-powered chatbot that can answer student questions by referencing notes and materials provided by professors. The problem being addressed is that students often need additional support outside of class time to clarify course concepts and materials. Previous work has explored using AI to provide tutoring and question- answering. For example, Smith et al. (2021) developed a natural language processing chatbot to answer high school student questions based on an existing knowledge base. However, their work did not incorporate professor-provided notes. This investigation aims to fill that gap. The thesis and approach is that an AI assistant leveraging notes directly from a student’s professors can provide more tailored and useful responses. The chatbot will ingest professor notes and use natural language processing via the ChatGPT API to understand questions and generate relevant answers. • the purpose of the investigation • the problem being investigated • the background (context and importance) of the problem (citing previous work by others)
Metaverse Crypto Exchange

The metaverse is a rapidly evolving digital frontier that is redefining the way we interact, work, and play in the digital realm. This abstract provides a concise overview of the concept, its significance, and the key elements that shape its existence.The metaverse is a collective virtual shared space, merging physical and digital realities, where individuals can interact, create, and transact in immersive and interconnected digital environments. It is not confined to a single platform or technology but represents a constellation of interconnected virtual worlds, augmented reality, virtual reality, and 3D spaces.Blockchain technology has emerged as a revolutionary innovation that fundamentally transforms the way we establish trust, share data, and conduct transactions in a digital world. This abstract provides a concise overview of blockchain, highlighting its core principles and its profound impact across various industries.Blockchain is a distributed ledger system that enables secure, transparent, and tamper-resistant record- keeping through a decentralized network of nodes. This technology underpins cryptocurrencies like Bitcoin but extends far beyond digital currencies, offering solutions for supply chain management, voting systems, healthcare, and more. Non-fungible tokens (NFTs) have emerged as a groundbreaking application of blockchain technology, transforming the way we perceive and trade digital assets within the metaverse. . NFTs are unique digital tokens that represent ownership or proof of authenticity of digital assets, often encompassing digital art, virtual real estate, collectibles, and more. Leveraging blockchain technology, NFTs offer a secure and transparent method for creators and collectors to trade and interact with digital content in the metaverse. Keywords—Metaverse, Blockchain Technology, Cryptocurrrency, Non –Fungible Token
Online Voting System Using Face Recognition and OTP

The basic idea of this system is to create an Online Voting System that will help to suppress deception of the manual voting system and the prior versions of online voting by camera for Face Recognition and OTP generation. We are also implementing a location free voting system for the voters for whom it is not possible to come to the voting location (hometown). Here we propose a system that includes multiple layers of verification to ensure the reliability of the device which includes face verification and then OTP verification with validation data. Each voter can access the system only when being recognized and checked with the given database of enlist voters. Once the corresponding face is matched with the information provided, the voter will be allowed to proceed to choose their preferred candidate from the panel. Key Words: Machine Learning, Python, Voting System, Face Recognition, MySQL, OTP, Location free Voting
Elderly Fall Detection Using Machine Learning

Fall detection is a critical application within the realms of healthcare and eldercare, with the primary objective of promptly identifying and notifying caregivers or medical professionals when a fall occurs. This paper introduces a machine learning-centric approach to fall detection, harnessing sensor data and advanced algorithms to enhance precision and responsiveness. The system employs an array of sensors, such as accelerometers, gyroscopes, and depth cameras, for continuous monitoring of user movements. These sensor data undergo processing via machine learning algorithms, encompassing deep neural networks and feature extraction methodologies, to achieve precise fall detection while minimizing false positives. Keywords: Machine Learning, Fall Detection, Medical Alert, Senior citizen, Age Detection, healthcare facility, disease, SVM.
Developing A Multi-Linear Regression Model of Knowledge Management Factors Influencing Collaborative Projects in the Aviation Industry

Effective knowledge management is emphasized as crucial in drafting strategic plans and initiating collaborative projects in the UAE aviation industry. The low awareness of knowledge management in the industry underscores the need to integrate it into collaborative projects for improved management operations and long-term growth in the global aviation market amid fierce competition and evolving technology trends. Hence, this study was carried out to formulate a multi linear regression model of knowledge management factors affecting the collaborative project for UAE aviation industry. A questionnaire survey was conducted among the respondents who associated with the aviation industry in UAE. A total of 373 sets of data was used to formulate the equation using SPSS software. It was found that the generated model has a strong correlation coefficient of 0.898 between the predictors and dependent variable. Also, strong coefficient of determination of 0,806 which indicates how well the selected independent variables collectively account for the variation in the dependent variables/predicators. This equation model can be applied to collaborative project in UAE aviation industry. This research contributes to the body of knowledge and to the aviation society.
Leveraging Trust as an Intermediary Construct for Enhancing Public Acceptance of Smart Government Model

The primary aim of this study was to formulate a trust model aimed at augmenting public acceptance of UAE's smart government services. The study identified a total of 31 factors categorized into seven distinct groups or constructs. The model comprises five independent constructs which are Word of Mouth, Knowledge and Experience, IT Quality, Privacy, and Security. Then, Trust as an intermediary construct while Acceptance as a dependent construct. Through a convenience sampling approach, data was collected from 400 respondents via a questionnaire survey. The data collected was utilized to create and refine the model using SmartPLS software. The model underwent thorough analysis, including assessments of convergent reliability and validity, discriminant validity, and hypothesis testing. The study results revealed the significance of all six hypotheses, indicating the noteworthy impact of the five independent constructs on the intermediary construct (Trust), which in turn significantly influences the dependent construct (Acceptance). In terms of its contribution to existing knowledge, this study significantly enriches the literature on citizen-centric models and smart government. Moreover, in practical terms, the findings provide valuable insights for policy makers and smart government officials to strategically optimize approaches, thereby facilitating the expedited and more effective adoption of smart government services.
The Use of Mobile Applications in Digital Project-based Learning to Improve Students’ English Speaking Skill

Background: &#x0D; For Indonesian teachers and students alike, learning to speak English is still a significant difficulty. The use of media, especially mobile applications in English language learning can help draw in learners, boost motivation, and encourage creativity.&#x0D; Methodology: &#x0D; Convergent parallel mixed-methods was employed with 40 students as participants in this research. The data used was tests, documents, observation, and interview which analyzed quantitatively and qualitatively through statistical Wilcoxon signed ranks test, coding, and thematic analysis.&#x0D; Findings: &#x0D; Mobile applications used in this research were YouTube, Tiktok, Instagram, Duolingo, Talk, Elsa, Seesaw, Cake, Pixton, Speech to Text, and Capcut. The implementation process was divided into 5 stages; planning stage, implementation stage, evaluation stage, reflection stage, and follow-up stage. The pre-test and post-test results showed that the value of the asymptotic sign (2-tailed) 0.000 &lt; 0.05 indicated that the use of mobile applications could greatly enhance students' speaking skill. The studentsâ€™ perception showed that mobile applications in the classroom made learning more convenient, students could use them to practice English skills, complete assignments, find out information, or even receive the materials their lecturers offer them.&#x0D; Conclusion: &#x0D; The use of technology, such as mobile applications, can be a useful aid in the study of the English language, giving students more exposures, practices, and individualized instructions.&#x0D; Originality: &#x0D; This research reveals the implementation, effectiveness, and students' perceptions of mobile applications used in digital project-based learning. It is possible to maximize the benefits and minimize the drawbacks.
DESAIN WEBSITE PEMBELAJARAN MATERI LIMIT FUNGSI ALJABAR

The current learning process requires teachers to provide opportunities for students to actively acquire their knowledge, thus requiring the support of interesting and innovative teaching materials that can deliver students to the learning information they want to learn, one of which is a learning website. In fact, mathematics teachers at SMA Negeri 2 Huruna still have difficulties in preparing teaching materials according to the needs and characteristics of their students due to limited time and abilities of teachers, so teachers still use teaching materials obtained from the internet in learning. This study aims to produce a product in the form of a learning website material for algebraic limit functions to help teachers facilitate student learning. The development model used in this study is the Borg and Gall development model, in this article it is only presented up to the design stage, namely by designing a learning website for material limits of algebraic functions based on the results of analysis at the research and data collection stages. The learning website was developed using Microsoft FrontPage software and provides several menus, namely: 1) Home, providing instructions for use and a brief description of the website; 2) KD and concept maps; 3) Material, containing learning videos, e-modules, as well as applications for processing learning outcomes; 4) Summary, presenting a summary/core of learning material; and 5) Design team, containing a brief profile of the learning website designer team.
DESIGNING INCARY LEARNING MEDIA IN LISTENING SKILL FOR 10TH GRADE

In the world of education, language is important as a means of communication. Many languages ​​are used in the learning process, one of which is English. English consists of four skills include speaking skill, reading skill, writing skill, and listening skill. Of the four abilities, the listening ability is often considered difficult by students. The researcher conducted research at the Islamic Senior High School At-Taufiq, Diwek, Jombang. The research subjects were students in 10th grade, which consisted of 12 students. From the observations, the researcher found problems with students, namely many students felt bored with English lessons, especially during the listening section. From this problem, the researcher took a study entitled Designing INCARY Learning Media in Listening Skill for 10th grade. The purpose of this research is to create English learning media for 10th grade. The researcher uses Research and Development (R&amp;D) research using the ADDIE model. From the results of material validation, the researcher got a score of 86.3%, while for learning media it was 88.6%, while for product implementation it got a score of 85.8%. From these results, it is included in the "Very Good" category, which means that the learning media is feasible to use.
Evaluating the Mediating Effect of Employee Training on the Link between Employee Empowerment and Organizational Performance

Assessing employee training as a mediator on the relationship between employees' empowerment and organizational performance offering insights for effective training interventions to further enhance employee empowerment and overall organizational success. Hence, this paper discusses a study on assessing a mediation effect of employee training which act as mediator to the relationship between the employee empowerment constructs with organisational performance construct. Data used to develop this mediation model was from 115 employees of UAE Federal National Council Organization. The model was developed and assessed in SmartPLS software using the concept of PLS-SEM technique of model development. The model was assessed in three processes which are the PLS Algorithm; Blindfolding and Bootstrapping. The results of mediating modelling assessments found that there is no evidence of mediation effect of Employee Training on the relationships of Meaning and Organization Performance and also, between Competence and Organization Performance. However, there is a partial mediation effect of Employee Training on the relationship between Impact and Organization Performance, indicating that Employee Training partially mediates the relationship between Impact and Organization Performance. Additionally, Employee Training fully mediating the relationship between Self-determination and Organization Performance. The table provides insights into the complex relationships within the model, clarifying the role of mediation in explaining the associations between variables. The findings from this study contributes knowledge on the mediation model of employees’ empowerment on organisational performance.
Associating Technology Innovation Domains with Quality Service Performance of Public Health Care Organizations

This paper has presented the modelling of three technology innovation domains namely Organization Innovation Capabilities; Potential Absorptivity Knowledge; and Interaction with Technology affecting the UAE Health Care organisation performance construct. The modelling processes was conducted in SmartPLS software using 398 data gathered through questionnaire survey amongst employees of UAE public health care organization. Results from the modelling analysis found that model fitness criteria, which are Chi-Square value and NFI (Normed Fit Index) have an acceptable fit index. The model also has excellent predictive relevance for independent constructs that have fully account for the variance in dependent construct. however, one of the three paths was found not significant which is the path from OIC to OP. In term of path strength, paths from the construct OP to IWT has coefficient value of 0.3; to OIC has coefficient value of 0.1; and to PAK has coefficient value of 0.4. It is hope that the findings from this study have contributed to the knowledge of the relationship between the technology innovation dimension affecting the UAE public health care organization.
Design and Development of Low Cost Automated Ration System Using IOT

Abstract: The Automated Ration Distribution System (ARDS) is a state-of-the-art technological system designed to improve the efficiency, fairness, and accuracy of ration distribution. The ARDS combines artificial intelligence, machine learning, and data analytics to automate the distribution process, lower errors, and ensure equitable access toessential food supplies. Among the primary characteristics are user-friendly interface, data analysis, biometric verification, and intelligentinventory management. The technology facilitates data-driven decision-making, optimizes resource distribution, lowers shortages, detects andeliminates fraud. By fostering fair access to essential goods and promoting transparency in the allocation of rations, the ARDS has the potential to revolutionize rationing, particularly in crisis- affected areas.
LANGUAGE STYLES USED IN FABRIZIO ROMANO’S INSTAGRAM ACCOUNT

This thesis examines the types, the used and the reasons why language styles used in Fabrizio Romano on his Instagram account, using Martin Joos's theory and a qualitative descriptive method. There are five styles proposed in Joos theory. The source of data is Instagram and there were 50 captions founds as the data. Those captions in Fabrizio’s instagram were analyzed in order to classify them into their own styles. This study reveals that Fabrizio Romano uses four of five language styles in his Instagram captions: formal style (26%), casual style (40%), consulatative style (14%), and intimate style (20%). Each style has a distinct tone and communication style, with formal style indicating a formal tone and proper nouns, casual style using conversational expressions, contractions, or shortening, and consulatative style asking for advice or predictions. Intimate style conveys personal sentiments and emotions, highlighting joy and enthusiasm, and is addressed to followers based on events. The choice of language style is deliberate, with formal language maintaining professionalism and credibility, while casual and consulatative styles foster engagement and inclusivity among a diverse audience. Incorporating intimate style allows for a personal connection with followers and a sense of authenticity. Overall, these language styles work together to enhance the overall experience and success of Fabrizio Romano's Instagram account.
Implementasi Aplikasi Steganografi Berbasis Web Menggunakan Algoritma LSB dan BPCS

Steganography is a method for concealing sensitive information in seemingly unremarkable data. In recent years, the use of steganography in web applications has become popular due to its accessibility and ability to conceal data in various types of media. Implementing a web-based steganography program that makes use of the Bit-Plane Complexity and Least Significant Bit algorithms is the aim of this project. To enable users to access the application through a browser, the system is constructed utilizing web technologies like HTML, CSS, and JavaScript during the design phase. The LSB and BPCS algorithms are employed as methods to embed secret data into user-selected images. The least significant bit of each image pixel is utilized to hold a secret piece of information using the straightforward steganography technique known as LSB. On the other hand, BPCS is a more complex steganography method that combines spatial and frequency domain analysis to hide data within high-quality images. The findings of this study show that the technique of hiding sensitive information within photos is successfully implemented by the web-based steganography program employing the LSB and BPCS algorithms.
THE ANALYSIS OF LEXICAL FEATURES IN THE JAKARTA POST’S ADVERTISEMENT

The objective of this study is to find out the most dominant linguistic features of English advertising text in The Jakarta Post in lexical level. This study is qualitative in nature in the form of content analysis. The subject of the study was 110 advertising texts from The Jakarta Post newspaper collected from the edition of November 2015, February, March, April and May 2016. The advertisements were chosen purposively. Only commercial advertisements were analyzed in this study. The instrument used to collect the data was document review that was done through document analysis method. The collected data were analyzed using qualitative data analysis: data reduction, data display and conclusion drawing. The results of the analysis show that verb (76 times) is the most dominant features in terms of lexical. The verb get and enjoy appear 8 times each. The primary reason for having the verb get, as the style of advertising is its readability since it is a familiar and simple colloquial vocabulary. In another side, enjoy is also popular verb due to its relation to the feeling of the customer.