Marwadi University

The changing climate, heightened pressures in trade, and advanced cross-border procedures render the logistics systems appropriate to be flexible, smart, and green. This is known as Neuro-Environmental AI, which is a unified set of neural learning, symbolic reasoning, and real-time environmental intelligence, thus allowing them to implement global logistics in response to climatic conditions. The approach supports the foresight paths, emission-sensitive mode decision, disruption-constraining energy-saving border functions, and the expected disruption management. The framework enhances transparency, resilience, and compliance on the international corridors based on the use of digital twins, federated learning, and blockchain-enabled data exchange. It has been demonstrated through case studies that the emission has been reduced, reliability has increased, and the compatibility with the global sustainability goals has been more favorable, which makes Neuro-Environmental AI a new paradigm of the low-carbon and climate-resistant logistics.

The environmental policy has now become a strategy aimed at economic, financial and institutional change and not just another regulatory device. In this chapter, the authors discuss how environmental regulation, market-oriented instruments and co-ordinated policy frameworks redefine the structure of production, investment behavior, labour market, and governance structures. Treating the environmental policy as an endogenous factor, the analysis defines its impact on the dynamics of innovation, reallocation of capitals, and the structural economic change. Another crucial aspect highlighted in the chapter is the relevance of institutional quality and multi-level governance in the process of converting regulatory ambition into long term inclusive, and sustainable development outcomes.

Very low-density lipoprotein (VLDL), released in the liver, is the only lipoprotein that includes apolipoprotein B (marker for cardiovascular risk), triglycerides, and cholesterol. VLDL is essential in transporting lipids and cholesterol to organs and cells for utilization. VLDL also contributes significantly to the advancement of atherosclerotic heart disease. We comprehensively summarize VLDL’s physiological roles and data supporting its pathological effects. VLDL has been proven to promote atherosclerosis in the metabolic syndrome. VLDL isolated from metabolic syndrome patients is cytotoxic to atrial myocytes, causing atrial myopathy and contributing to atrial fibrillation. Several endocrine diseases may impact VLDL levels, which can be boosted by supplementing with progesterone, estrogen, cortisol, and growth hormones. VLDL stimulates high blood pressure by secreting aldosterone. VLDL induces neuroinflammation, which may lead to cognitive impairment. VLDL is linked to chronic renal illness, autoimmune disorders, and some skin diseases. VLDL production outside the liver caused by intestinal dysbiosis is considered harmful. New evidence reveals that VLDL metabolism has a role in the development and risk of cancer, as well as sleep disturbances. Aside from this, VLDL metabolism and carcinogenesis might be altered by the VLDL receptor. Overall, growing findings point to the role of VLDL in many illnesses.

This chapter provides a comprehensive and in-depth exploration of the integration of Artificial Intelligence (AI) into educational curricula and training programs, specifically targeting university faculty, corporate trainers, and professional development organizations. As AI technologies continue to revolutionize the landscape of work, communication, and knowledge dissemination, educational institutions must adapt to prepare learners for an AI-augmented future. Central to this discussion is a detailed framework for designing AI-integrated curricula that are flexible, modular, and interdisciplinary, fostering not only technical skills but also critical thinking, ethical reasoning, and lifelong learning competencies. This chapter serves as a practical guide and scholarly resource for educational leaders and practitioners aiming to responsibly harness AI's transformative potential in creating equitable, innovative, and learner-centered environments.

Heat stress is one of the most important environmental constraints in sustainable agriculture that significantly affect seed germination, plant growth, and development. Rapid climatic change events in recent times have increased heat stress in plants thereby affecting global agricultural production. Hence, new technologies and approaches are required to enhance heat resilience in crops. The application and positive influence of both melatonin (MT) and silicon (Si) in alleviating heat stress are well known, their combined application effects on photosynthetic damage are unexplored. This is the first study to investigate the synergistic effect of MT and Si on chlorophyll metabolism and photosynthesis in muskmelon under heat stress. The present work explored the synergistic effects of exogenous MT (0.1 and 0.2 mol m-3) and Si (25 and 50 mol m-3) over photosynthetic performance in muskmelon (Cucumis melo L.) plants under heat stress (35 °C and 40 °C). Our results demonstrated that MT + Si combined application had a better response over single treatment. At a temperature of 40 °C, the MT + Si combined treatment improved the photosynthetic rate by 119.4%, increased stomatal conductance by 48.5%, and also enhanced photosynthetic efficiency (Fv/Fm) by 33.3%. Interestingly, total chlorophyll content was increased by 21.6%, while there was a significant reduction in stress-induced oxidative markers, such as H₂O₂, which was decreased by 69.6%, malondialdehyde by 64.1%, and proline by 80.4%. In contrast, antioxidant enzyme activities and gene expression levels were significantly downregulated under combined treatment, indicating effective reactive oxygen species scavenging and restored cellular homeostasis rather than stress-induced upregulation. This work signifies the role of MT and Si as potential sustainable alternatives for providing thermotolerance to heat-sensitive vegetable crops, including muskmelon. © 2026 Society of Chemical Industry.