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12 articles for “intrinsic factors”
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Understanding the Efficacy of Homoeopathic Remedies in the Treatment of Heloma (Corn)
Abstract: Heloma (Corn), is a horny induration and thickening of the stratum corneum resulting from faulty mechanics, irregular distribution of pressure, bony prominences and repetitive motion injury due to repetitive activities or problems with footwear. Thus, both the extrinsic factor and the intrinsic factor are responsible for the formation of Heloma (Corn) affecting 14-18% of people. As most people consider it as a non-threatening condition, they seek home remedial measures like …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 23–30 Read article
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A Comprehensive Review on Premature Hair Graying: Factor Contributing, Pathogenesis, Prevention Strategies, and Natural Therapeutic
Abstract: Premature graying of hair (PGH), also known as early canities, is an increasingly common dermatological concern characterized by the loss of natural hair pigmentation before the expected age. Hair color is primarily determined by the quantity and type of melanin synthesized by melanocytes within the hair follicle. Disruption in melanocyte function, survival, or melanin synthesis leads to hair graying. Multiple intrinsic and extrinsic factors contribute to PGH, including genetic predisposition, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 13–20 Read article
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Proof-of-Minimum Privacy Leak Consensus Strategy in Blockchain
Abstract: In this study, we propose a novel consensus algorithm to preserve the security and privacy of a transaction. We propose a Proof-of-Minimum Privacy Leak consensus strategy. This means that the competing nodes which participate in the competition to mine the next block should give a proof of minimum privacy leak during its transaction. Only this proof will give highest votes to that node, and it will be elected as the …
Published in E-Commerce for Future & Trends Read article
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Effect of Skin Barrier Damage on Absorption and Action of Cosmeceuticals
Abstract: The skin acts as a primary defensive barrier protecting the human body against environmental aggressors, microbial invasion, and chemical exposure. The integrity of the skin barrier, particularly the stratum corneum, plays a crucial role in regulating the permeation of substances applied topically. Cosmeceuticals, a hybrid category between cosmetics and pharmaceuticals, are designed to deliver biologically active ingredients into the skin to exert therapeutic or beneficial effects. However, the condition of …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 2, 2026 · pp. 1–19 Read article
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Impact of Therapeutics on Carbapenem-Resistant Acinetobacter baumannii
Abstract: Acinetobacter baumannii, a formidable pathogen in healthcare settings, poses a significant threat due to its propensity to cause nosocomial infections. This bacterium exhibits several attributes that enable it to evade the human body's natural defenses. A. baumannii's remarkable adaptability is highlighted by its ease in acquiring antibiotic resistance determinants, rendering it challenging to treat. Its ability to thrive in hospital environments underscores the urgent need for stringent infection control practices …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 1–11 Read article
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Ag₂S–Ag Nanocomposites: A Bottom-Up Approach to Enhance Thermoelectric Power Factor at Near Room Temperature
Abstract: The intrinsic ductility, low toxicity, and naturally occurring abundance of silver sulphide (Ag₂S) have made it a potential thermoelectric material in recent years. However, high electrical resistance severely limits its practical application. Here, we present a thorough analysis of how metallic Ag nanoinclusions affect the structural, electrical, and thermoelectric characteristics of Ag₂S nanocomposites made using a simple bottom-up polyol approach. (Ag₂S)₁₋ₓAgₓ nanocomposites with an Ag content ranging from 0 to …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 40–55 Read article
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Role of Genetics in Improving Fitness and Sports Performance
Abstract: Research indicates that variations in specific genes affects sports performance, comparing athletes with nonathletes. The genes that have been examined the most in relation to athletic performance are ACE and ACTN3. Strength and endurance have been associated with these genes, which also affect the type of fiber that makes up muscles. Sports performance factors primarily affected by genes are intrinsic motivation to exercise, power and endurance potential, training response to …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 28–34 Read article
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Improvements in Analog Performance of Dual Metal Gate based Silicon-on-Insulator Junctionless Transistor with Pocket Doped Window
Abstract: This paper elucidates the impact of the pocket doped window on the analog performance of dual metal gate based silicon-on-insulator junctionless transistor (DMG SOIJLT). The analog parameters of the proposed SOIJLT are compared with DMG based conventional SOIJLT. The findings of analog performance comparison reveal that transconductance (gm), transconductance generation factor (TGF), output conductance (gd), output resistance (r0), intrinsic gain (AV), and cut-off frequency (fT) have improved for DMG PD-SOIJLT …
Published in Journal of Microelectronics and Solid State Devices Read article
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Experimental and CFD Investigation of an Epoxy-Based Thermally Conductive Polymer Composite U-Tube Shell-and-Tube Heat Exchanger: A Lightweight Alternative to Conventional Metal Systems
Abstract: Shell-and-tube heat exchangers continue to play a critical role in industrial thermal systems; however, their conventional design based on fully metallic materials often leads to challenges related to weight, corrosion, and cost. In recent years, thermally conductive polymer composites have emerged as promising alternatives, offering improved corrosion resistance and design flexibility. In this study, the thermo-hydraulic performance of a U-tube shell-and-tube heat exchanger is investigated by partially replacing conventional metallic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 685–700 Read article
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Structure–Property Correlation of Infill Topology and Density on Tensile and Flexural Performance of FDM-Printed PLA and ABS
Abstract: Additive Manufacturing (AM), particularly Fused Deposition Modeling (FDM), has become a widely adopted manufacturing technology due to its design flexibility, low cost, and capability for rapid prototyping. However, the mechanical performance of FDM-printed components is strongly influenced by internal structural parameters such as infill pattern and infill density, in addition to the intrinsic material behaviour. This study investigates the structure–property relationship between infill topology, density, and mechanical performance of PLA …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 26–37 Read article
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A brief survey on Alternative and Complementary Medicine with special reference to safety, toxins and toxicological concerns
Abstract: Alternative and Complementary Medicine (ACM) is a wide range of healthcare practices that may be used within or alongside conventional medicine, and many of these practices are rapidly becoming accepted and integrated into the modern healthcare system. In addition to traditional medicine systems (e.g. Ayurveda, Unani Medicine, Traditional Chinese Medicine, and Homeopathy), ACM includes practices that utilize natural remedies including herbal medicine, phytotherapy, naturopathy, acupuncture, yoga, and meditation. While these …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 30–45 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article