Global Journal of Multidisciplinary Sciences and Arts
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Harnessing C–H Activation and Photoredox Catalysis in Organic Synthesis: A Contemporary Review
Get PDFC–H activation and photoredox catalysis have become complementary and are leading to the synergistic integration into a new potent approach to modern organic synthesis that is highly selective, efficient, and sustainable in its ability to transform molecules. Site-selective functionalization of inert C-H bonds is achieved through C-H activation, and the formation of reactive radical intermediates in mild conditions under visible light is achieved through photoredox catalysis. Their combination enables two-catalytic processes, which provides the possibility to build new bonds and functionalize functional groups late, as well as bring complex molecules, such as natural products, pharmaceuticals, and heterocycles, into easy reach. Recent developments include the emphasis on environmentally friendly procedures, widening the range of substrates, and reaction design that is guided by calculations. This review has outlined key principles, mechanistic understanding, applications, challenges and emerging trends in this field of synthetic chemistry with particular focus on its transformative nature through this dual approach
Synergizing AI and Lean Six Sigma: A Comprehensive Review of Smart Quality Assurance Systems
Get PDFThis review examines how Artificial Intelligence (AI) can be integrated with Lean Six Sigma (LSS) in making intelligent and data-driven Quality Assurance (QA) systems. The new AI technology can complement the old LSS techniques by adding predictive analytics, automation, and optimization of processes at any moment, allowing to control the quality pro-actively and constantly improve the processes. The article discusses the important uses, advantages, issues and future of AI-driven Lean Six Sigma within the contemporary industries. The results indicate that AI is highly useful in enhancing the accuracy, efficiency, and decision-making in the DMAIC framework; in addition, it corresponds to the Industry 4.0 and 5.0 paradigms. The paper concludes that AI-enhanced LSS can be taken as a radical change to smarter, adaptive, and sustainable quality management systems
AI in Lean Six Sigma: A Review of Industrial Implementations, Benefits, and Barriers
Get PDFThe present review addresses the concept of Artificial Intelligence (AI) integration in the methods of Lean Six Sigma (LSS), its industrial applications, advantages, and obstacles. The AI technologies like machine learning, predictive analytics, and computer vision can support LSS by facilitating real-time processing of data, forecasting decision-making, and optimization of processes. The paper presents the examples of successful applications in manufacturing, healthcare, services and logistics showing that the efficiency, quality and innovation are strongly improved. Nevertheless, the problems of data quality, cultural resistance, and lack of skills remain. The review concludes that AI-based LSS promotes smart and flexible and sustainable continuous improvement in line with Industry 4.0 and beyond
Integrating AI in Healthcare, Health Informatics, and Food Production: Advances in Machine Learning, Nanocarrier Drug Delivery, Computational Methods, Cybersecurity, and Quality Assurance
Get PDFArtificial Intelligence (AI) is transforming the healthcare system, health informatics, drug delivery, and food production as it allows making predictions, tailored treatment and streamlining processes. This review discusses the combination of AI and machine learning, nanocarrier-based drug delivery, computational solution, cybersecurity, and quality assurance in these fields. In the healthcare sector, AI has improved diagnostics, treatment planning, and patient monitoring, whereas in the food production industry it is applied in precision agriculture, optimization of the supply chain, and safety monitoring. Data privacy, bias in algorithms, and compliance with regulations are the other issues that were discussed in the paper. Future looks indicate interdisciplinary innovations that may offer safer, effective and sustainable solutions in the health and nutrition
AI in Manufacturing Quality Management: A Review of Techniques, Tools, and Industrial Adoption
Get PDFIt is true that Artificial Intelligence (AI) is fast transforming the quality management of manufacturing services by providing smarter, data-driven solutions to detect defects in manufacturing processes, optimize processes and provide predictive maintenance. Conventional approaches to quality assurance are easily surpassed by complex data and dynamic production contexts, whereas AI-based technologies, including machine learning, deep learning, computer vision, and reinforcement learning, demonstrate increased accuracy, scale and flexibility. This review discusses the principles of AI in quality management, its major technologies, tools, and implementation in Industry 4.0 ecosystems. It also emphasizes industry adoption in the automotive, electronic, pharmaceutical and aerospace sectors and discusses the issues of data quality, implementation cost, employee preparation and readiness and interpretability. The trends of the future focus on explainable AI, sustainable manufacturing and human-AI cooperation. In contemporary manufacturing AI is offering radical possibilities of attaining better quality management that is efficient, reliable, and sustainable
Artificial Intelligence as a Catalyst for the Next Generation of Healthcare Innovation
Get PDFThe application of Artificial Intelligence (AI) in healthcare is changing the industry, making it more precise, efficient, and personalized in the care of patients. This review examines the history, underlying technologies, and various uses of AI in diagnostics, treatment plan, and healthcare management. It emphasizes the significant advantages, which are better diagnostic accuracy, predictive medicine, and the efficiency of its operation, and problems in ethics, law, and social issues, which include data privacy, biases, and responsibility. The paper is also focused on the existing constraints and opportunities with a particular emphasis on the transition to explainable, equitable, and human-centered AI systems. AI is an effective innovation driver that can influence a smarter, more equitable and compassionate future of healthcare
Advancing Healthcare through Artificial Intelligence: A Comprehensive Review of Machine Learning Applications in Health Informatics
Get PDFDeep learning and other types of Artificial Intelligence (AI) are quickly changing the healthcare and health informatics landscape to allow deeper data analysis, predictive modeling, and customized care of patients. Convolutional and recurrent neural networks are examples of deep learning architecture that have demonstrated spectacular performance in medical imaging, disease prediction, drug discovery and telemedicine applications. Health informatics will ensure the required data collection, data storage, and integration structures that will ensure efficient and safe operation of AI models. The emerging techniques are mitigating these drawbacks despite the various problems posed by data quality, interpretability, ethical issues, and infrastructure needs. The review presents the existing innovations, uses, challenges, and prospects, focusing on the synergistic opportunities of AI and deep learning to transform the modern healthcare
Cybercrime and Cybersecurity in the Age of AI: Exploring the Challenges and Opportunities Presented by ChatGPT
Get PDFOne of the most hopeful trends in cybersecurity specialization is the utilization of artificial intelligence (AI) in the anti-cybersecurity movement, which provides specialists with rather elaborate tools to identify, thwart, and respond to newer, and more diverse, digital threats. While AI programs compliment traditional approaches of the identification of cyber threat and other measures, the former stands advantages in the way it can pin-point future threats and act on them. Nevertheless, as the usage of AI grows so does new threats emerge; first of all, AI is hackable which means that it can be used by offenders, thus the threats are consistently evolving exist. In this work the author also described more important role of AI in cyber space for both defense and offense. The FCA has indeed eyed the regulations and governance aspect as being at the heart of the ethical AI, privacy issue and reporting. In order to avoid the situation when security is dominated by technology, and within cyberspace threats are solved cooperatively at the international level, there is an appeal to open, non-discriminatory, and constantly developing architecture. It is anticipated that new trends, such as self-managing systems, computational prognostication, self-healing models, will emerge in the sphere of cybersecurity using AI, however, it is necessary to mention that this field has to be applied at the right level due to potential unfavorable outcomes. Finally, the achievement of a synergy in artificial intelligence alongside human decision-making will create robust digital environments that this author shall use towards the safe development of the new technology alongside the fight against emergent cybercrime challenges
The Silent Threat: Understanding Microbial Toxins and Their Global Impacts
Get PDFThis abstract looks on to microbial toxins that play important role in shaping the ecosystem and affecting various aspects of human life. These toxic substances are produced by variety of microorganisms such as bacteria, viruses and algae. Understanding their nature and effects is essential for studying global impacts. Bacterial toxins contains strains of different bacterial species such as Escherichia coli, and Clostridium botulinum, have significant implications for human health. They can causes severe diseases from gastrointestinal infections to life threatening conditions. The food borne illness is often related to bacterial toxins. Fungal toxins such as mycotoxins, pose serious threat to crops and food security. The global trade of food makes it easy for mycotoxins to spread and affect human health (such as liver and kidney damage) and crops. Algae toxins, produced by certain species of microalgae, can lead to harmful algae blooms (HABs). These toxins cause mass mortality of marine life and disrupting the aquatic ecosystem. HABs can contaminate sea food and cause diseases to humans through contaminated fish and shell fish. Climate change further complicates the scenario by promoting the prevalence of toxins producing substances. Rising temperature and precipitation patterns create favorable conditions for toxin producing species. Efforts to address this, lies with the collaboration of microbiologists, ecologists and public health experts. Surveillance systems for early detection, regulations on food safety and research strategies. In conclusion, microbial toxins exerts many effects on global health, and ecosystem. Understanding their nature and implementing effective measures is necessary for the sustainability of the planet.
Modern Trends in Urdu Literature: A Brief Overview
Get PDFThe contemporary Urdu literary world unites classic heritage with novel emotional content through innovative structural forms. This research project checks vital shifts within contemporary Urdu literature while assessing how progressive writers embraced social justice discussion through protests against repressive practices. Following independence Urdu writers conducted significant investigations into partition trauma through the study of dislocation effects and culture separation together with identity matters. New counting patterns and literary building approaches emerged as fundamental elements in contemporary Urdu literature because authors utilize these elements to express the realities of current times. Publisher and artist women use feminist works to confront patriarchal social structures and express themselves forcefully across poetry and prose forms. Through their literary contributions Ismat Chughtai joined by Qurratulain Hyder and Faiz Ahmed Faiz shaped novel trends in Urdu literature that delved into political events and gender analyses with human experiential study. The combination of worldwide integration and digital platforms has widened Urdu literature\u27s reading audience base while maintaining original language roots to allow writers global literary exposure. Leaving behind social critique and political examination Urdu literature maintains both its academic relevance and cultural depth