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6 articles for “Biological concept aging”
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A Critical Review on Concept of Aging in Unani Tib
Abstract: With better advances in the field of medicine, life expectancy has increased in India. It is expected to increase to 65 years in 2015, which means more burden on the existing health care system of the country. Unfortunately, in our country elderly care is hospital-based with little attention on community-based, day care center-based or home-based care. With rapidly changing scenario of aging population, we should find the right model for …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 1, Issue 2, 2014 · pp. 32–35 Read article
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Biopolymer Degradation and Structure–Property Relationships in Ageing: A Polymer Science Perspective
Abstract: Ageing, as viewed from the polymer sciences perspective, is perceived as the gradual modification of the structure-property-function interrelationship of biopolymers such as proteins, polysaccharides, nucleic acids and their molecular aggregates. Such changes include structural organization, mechanical behavior, physicochemical stability and functional effectiveness. Ageing is an inevitable multifactorial polymeric process. Due to the growing aging population globally, more age-associated complications emerge, which are correlated with the molecular degeneration of biopolymeric complexes. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 479–489 Read article
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Prevalence & Risk Factors in a Sample Population of Joint Disorders—An Observational Study
Abstract: Ageing is a natural, irreversible and inevitable biological phenomenon. It is a process of gradual, progressive and generalized impairment of functions resulting in the loss of adaptive response to stress. According to the Unani concept, arthritis is a type of pain which occurs in joints of any part. In the classical Unani literature, the illness of joint pain is mentioned under the caption of “Wajaul Mafasil” which includes all types …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 6, Issue 2, 2019 · pp. 12–14 Read article
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Toxicology and Its Branches: A Brief Review
Abstract: Toxicology is called the science of poisons or can be defined as any substance, whose exposure can cause harm to any living body or to the environment. It can also be defined as the study of adverse effects of different chemical, biological or physical agents on living organisms and the ecosystems, including the prevention & enhancement of such adverse effects. It is concerned with all aspects of different poisons and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 11, Issue 2, 2024 · pp. 27–45 Read article
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Contribution, Limitations and Future Of Plant Growth Promoting Consortium in Sustainable Agriculture
Abstract: Current agricultural methods rely significantly on chemical fertilizers, pesticides, and other agrochemicals to enhance plant growth and combat pathogens, aiming to boost crop yields. However, the accumulation of chemical residues in the soil diminishes soil fertility considerably over a period. These accumulated chemicals gradually alter the soil's chemical composition, ultimately rendering it infertile. The high-risk conditions associated with these agricultural chemicals such as bioaccumulation, chemical toxicity and development of resistance …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 29–51 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article