Al-Kindi Center for Research and Development (KCRD) (E-Journals)
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    The Palestinian Operation on October 7 Between International Legitimacy and Criminalization

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    This study delved into the operation of Palestinian resistance on the seventh of October, navigating the realms of legitimacy and criminalization within the framework of international law. The researcher examined the historical evolution of the Israeli-Palestinian conflict, revealing a continuous onslaught, occupation, and killing endured by the Palestinian people for over 70 years. The legal foundation of the Palestinian resistance\u27s legitimacy on the seventh of October was explored in light of international law, with the researcher concluding that the resistance exercised its right to legitimate defense in accordance with the United Nations Charter against ongoing aggression by the Israeli occupation. Furthermore, the researcher found that the resistance\u27s actions were consistent with its exercise of the right to self-determination, as endorsed by numerous United Nations resolutions on the Palestinian issue. Finally, the study addressed Israeli allegations of massacres committed by the Palestinian resistance on the seventh of October, presenting evidence that the resistance adhered to international law in its operation and did not violate its provisions. The researcher urged the United Nations to take stricter measures, particularly through its Security Council, by activating Chapter Seven of the Charter to compel Israel to implement international resolutions. Additionally, the researcher also calls on international organizations to morally and materially support the legitimacy of Palestinian armed resistance to exercise its right to self-determination against Israeli occupation and settlement. The researcher recommended that global media listen to both sides of the conflict\u27s narrative for journalistic credibility

    Standards for Auctioneers in Vietnam and Alberta (Canada)

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    Auctioneering as a profession has been in existence for many years. The advantage of selling goods through a public auction compared to a normal willing buyer-willing seller process is that the consignor of the goods is likely to get a better price through a competitive bidding process. A professional consignee known as an auctioneer moderates the competitive bidding process during the sale of goods. However, because of the nature of the business and the frequent huge amounts of money involved in the transactions, there is a need to regulate the auctioneering. Every jurisdiction where auctioneering has specific rules that dictate regulate auctioneer standards. This article looks at the auctioneering standards that have been set and legislated in Alberta (Canada) and Vietnam. The paper has identified the minimum requirements that a prospective auctioneer has to meet in the jurisdictions for them to be given a licence to practice. Also, the paper has identified some regulations that guide the auctioneering process in the said jurisdictions. In the article, the researcher further identified key legal prohibitions that are part of the auctioneering standards

    Indonesia and ASEAN Chairmanship in 2023: Leading the Region in Strengthening Relations with China

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    Indonesia, the largest economy in Southeast Asia, plays a crucial role in the region and contributes significantly to the regional bloc\u27s stability, economic growth, and diplomatic initiatives. The archipelago serves as a pivotal anchor within the Association of Southeast Asian Nations (ASEAN), stipulating political leadership and strategic direction over the years. Indonesia fosters trade and investment within the region, as seen from Indonesia\u27s role in completing the Regional Comprehensive Economic Partnership (RCEP) negotiation, the largest free trade agreement in the world involving ASEAN and several trading partners such as China, Japan and South Korea (The ASEAN Secretariat, 2023). Indonesia promotes dialogue and cooperation to address regional challenges such as trans-boundary issues, security concerns, and environmental sustainability. Indonesia is also currently one of China’s most important partners in Southeast Asia. China is now Indonesia\u27s largest trading partner and export market, with China\u27s official data showing that in 2022 the bilateral trade reached 149.1billion,up19.8percentyearonyear.Inthesameyear,ChinawasthesecondlargestsourceofinvestmentinIndonesiain2022,with149.1 billion, up 19.8 percent year-on-year. In the same year, China was the second-largest source of investment in Indonesia in 2022, with 8.2 billion (Duqiang, 2023). In addition, China\u27s Belt and Road Initiative (BRI) has played a major role in supporting infrastructure development in Indonesia. Both nations continue to engage in high-level diplomatic dialogue and seek common ground on various regional and global issues. This article attempts to show the role that Indonesia plays as it continues to show the way for other ASEAN countries to navigate economic challenges and, at the same time, forge stronger ties with China. This article also examines the bilateral relationship between Indonesia and China and how it affects Indonesia’s capability to lead other ASEAN countries, especially after Indonesia’s ASEAN Chairmanship in 2023

    Retakers Pledge: An Experiential Learning

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    The study explores the lived experiences of Criminology Licensure Examination re-takers. The text details the participants\u27 experiences leading up to, during, and following the licensure examination. It explores how the Criminology Licensure Examination impacted the participants and discusses the adjustments they made to enhance their performance in the exam. It utilized the qualitative research method employing the phenomenological approach. Twelve participants of this study were re-takers of the criminology licensure examination. Three re-takers of the criminology licensure examination from the review center of Cebu City and nine re-takers of the criminology licensure examination from the review center in Mandaue City, Philippines. Nine individuals were selected for comprehensive interviews from a criminology review center in Mandaue City. In contrast, three were interviewed through Focused Group Discussion (FGD) from the criminology review center in Cebu City, Philippines. The participants were selected through purposive sampling, focusing on individuals registered for review classes at centers in Cebu City and Mandaue City. Seventeen themes were created to answer the sub-problems of this study. These were: Enlightenment is the Key to Success, Self-assurance Reaching Lifetime Goals, Strong Intimate Support, Time Constraints the Clue of Anxiety, Eagerness in Achieving Objectives, Assertive Attitude Produces Positive results, Infirmities Defeating the Purpose, Discomfort Runs into Trouble, Misconception Affects the Reality, Passion Reflects the Result, Unacceptable Moments in Life, Failures Ruins the Ambition, Dynamic Opening\u27s in the Right Place and the Right Place, Linking\u27s in Public and Private Service, Primary of Interest in Meeting the Purpose, Responsive Commitment in Achieving Goals, and Hard work is the Key to Success

    A Review on Cybersecurity in Fintech: Threats, Solutions, and Future Trends

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    The rapid growth in the fintech industry propels financial services into the digital era, bringing unprecedented convenience and efficiency. However, this transformation could be a smoother process; it faces difficulties, primarily in Cybersecurity. This comprehensive study explores the cybersecurity landscape in the fintech industry, including common threats, existing defensive measures, and innovative solutions that shape the future. Significant dangers, such as data breaches, phishing attacks, and malware complications, emphasize the need for strong cybersecurity strategies. Fintech firms address these concerns by employing various defensive measures, including encryption technology, robust multi-factor authentication, and strict compliance with legal frameworks. Examining prospects, the article explores emerging themes such as the mysterious domain of quantum-resistant cryptography, the mysterious frontier of behavioral analytics, and the shift toward decentralized identification solutions. These developments demonstrate a proactive shift in strategy, anticipating and preparing for potential hazards to prevent and minimize their impact. The conclusion presents important findings, drawing out their implications for the future and proposing sensible suggestions for further research and industrial practices. This research provides vital insights for stakeholders in the rapidly changing field of fintech, helping them navigate the complex intersection of finance and technology and guaranteeing a safe journey through unfamiliar areas

    The Role of AI-Enhanced Personalization in Customer Experiences

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    The purpose of this research study is to investigate how AI-driven-personalization chatbots and virtual assistants might improve customer experiences across different types of businesses. It investigates if artificial intelligence is able to cater goods, services, and marketing to the preferences of customers. The areas of retail and hospitality, together with finance, are the primary emphasis of this article. This study investigates the ways in which artificial intelligence can improve retail virtual shopping assistants and product recommendations. This article investigates the use of artificial intelligence (AI) chatbots in the hotel industry to give individualized booking experiences and recommendations. This study investigates the ways in which artificial intelligence-driven communications and individualized financial advice can improve customer service. Through the use of case studies and data analysis, the author of this study analyzes the practical uses of AI-powered personalization as well as the benefits to the customer experience. The findings are an attempt to illustrate that AI is capable of personalizing their experiences and engaging customers across a variety of industries

    Transforming Breast Cancer Identification: An In-Depth Examination of Advanced Machine Learning Models Applied to Histopathological Images

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    Breast cancer stands as one of the most prevalent and perilous forms of cancer affecting both women and men. The detection and treatment of breast cancer benefit significantly from histopathological images, which carry crucial phenotypic information. To enhance accuracy in breast cancer detection, Deep Neural Networks (DNNs) are commonly utilized. Our research delves into the analysis of pre-trained deep transfer learning models, including ResNet50, ResNet101, VGG16, and VGG19, for identifying breast cancer using a dataset comprising 2453 histopathology images. The dataset categorizes images into two groups: those featuring invasive ductal carcinoma (IDC) and those without IDC. Through our analysis of transfer learning models, we observed that ResNet50 outperformed the other models, achieving impressive metrics such as accuracy rates of 92.2%, Area under Curve (AUC) rates of 91.0%, recall rates of 95.7%, and a minimal loss of 3.5%

    Comparative Analysis of Machine Learning Models for Accurate Retail Sales Demand Forecasting

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    This article compares sales forecasting models, LSTM and LGBM, using retail sales data from an American multinational company. The study employs a meticulous methodology, optimizing memory, performing feature engineering, and adjusting model parameters for both LSTM and LGBM. Evaluation metrics, including RMSE, MAE, WMAPE, and WRMSEE, demonstrate that LGBM consistently outperforms LSTM in capturing and predicting sales patterns. The analysis favors LGBM as the preferred model for retail sales demand forecasting, emphasizing the importance of model selection. This study contributes to practical machine learning applications in retail sales forecasting, highlighting LGBM as an effective choice

    AI-Driven Cybersecurity: Balancing Advancements and Safeguards

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    As Artificial Intelligence (AI) continues its rapid evolution, its profound influence on cybersecurity becomes increasingly evident. This study delves into the pivotal role of AI in fortifying cybersecurity measures, emphasizing its capacity for enhanced threat detection, automated response mechanisms, and the development of resilient security frameworks. However, alongside its promise, recognition of AI\u27s susceptibility to exploitation in sophisticated cyber-attacks exists, underscoring the imperative for continual advancements in AI-driven security solutions. This research offers a nuanced perspective on AI\u27s impact on cybersecurity, advocating for the proactive integration of AI strategies, sustained research efforts, and formulating ethical guidelines. Adopting supervised machine learning (ML) algorithms like decision trees, support vector machines, and neural networks aims to harness AI\u27s potential to bolster cybersecurity while concurrently addressing associated risks, paving the way for a secure digital landscape. Regarding accuracy, the neural network outperforms other models by 98%

    ENG Students’ Attitude towards Peer Review

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    This paper discusses the action research carried out in the ENG 207 course at the American University of Sharjah. The action research was conducted to find out the students’ attitudes toward using external, non-corrected samples in review training sessions and computer-mediated peer review to enhance their experience as reviewers. The findings revealed positive attitudes from the students regarding the training session and computer-mediated peer review; however, some suggestions were provided for improvements

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    Al-Kindi Center for Research and Development (KCRD) (E-Journals)
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