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908 articles for “Strategic Approach”
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Weaning Age Shaping Puberty in Heifer: Insights from Nutritional, Physiological, Hormonal and Environmental Perspectives
Abstract: The onset of puberty in dairy heifers is a critical determinant of their reproductive performance and overall productivity. This study reviews the influence of weaning age on the timing and quality of puberty, synthesizing insights from nutritional, physiological, hormonal, and environmental perspectives. Early or late weaning can significantly impact heifer development, influencing body weight, fat deposition, and metabolic health. Nutrition plays a vital role in shaping growth rates and reproductive …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 1, 2025 · pp. 19–31 Read article
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Nutrient-Mediated Activation of Cellular Signaling Pathways: Mechanistic Insights into Attenuation of Toxin Induced Inflammation in Food Animals
Abstract: Dietary and environmental toxins remain a persistent challenge in food animal production, where subclinical and clinical inflammation compromises health, productivity, and food safety. Toxin induced inflammation is driven by oxidative stress, mitochondrial dysfunction, and dysregulated immune signaling, resulting in impaired metabolic efficiency and increased disease susceptibility. Recent advances in nutritional science have revealed that nutrients act not only as substrates for growth but also as signaling molecules capable of modulating …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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A Comparative Financial Performance Assessment of Select FMCG Companies in India: Evidence from HUL and Britannia Industries
Abstract: This study takes a close look at the financial performance of two major players in India’s FMCG sector: Hindustan Unilever Limited (HUL) and Britannia Industries Limited (BIL). It covers the period from FY 2022–23 to FY 2024–25, with a focus on how each company manages its finances, grows its business, and keeps profits up in a market that’s always competitive. The analysis relies on secondary data from published annual reports …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 51–67 Read article
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Detection and Control of Adulterants in Milk
Abstract: Milk is one of the most essential and widely consumed staple foods, valued for its rich nutritional composition, including proteins, fats, vitamins, and minerals necessary for human growth and health. However, the increasing demand for milk, coupled with economic incentives, has led to the widespread issue of milk adulteration, posing serious concerns for food safety and public health. Adulteration involves the addition of harmful or inferior substances to milk, either …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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Intelligent Network Slicing and Adaptive Switching for Ultra-Low-Latency 6G Communications
Abstract: The rapid evolution of sixth-generation (6G) wireless communication networks demands intelligent and adaptive network management mechanisms capable of supporting ultra-low-latency, massive connectivity, high reliability, and heterogeneous service requirements. This study proposes an Intelligent Network Slicing and Adaptive Switching (INS-AS) framework for optimizing communication resources and minimizing end-to-end latency in 6G environments. The proposed framework dynamically creates and manages logical network slices according to application-specific requirements, including enhanced mobile broadband, ultra-reliable …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Understanding of Research Bias in Herbal Medicine: A Comprehensive Review
Abstract: Background: The communication and generation of knowledge are central to research. In herbal medicine, with its deep historical roots, research must be methodologically rigorous and unbiased to validate traditional knowledge in modern contexts. Bias, defined as any tendency preventing objective evaluation of a research question, compromises validity and reliability. Objective: To highlight types of research bias in herbal medicine and discuss strategies for minimization to ensure credible and applicable findings. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 31–35 Read article
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Childhood Obesity: From Determinants to Clinical Management strategies
Abstract: Childhood obesity is one of the major global health problems in whole world, with a dramatic increase in prevalence over the recent few decades. Obesity associated with very serious long term health complications and sometimes very serious complications, such as metabolic disorders, cardiovascular, neurological, renal and psychological disorders. There are various factors such as genetic, environmental, behavioural, and socio-economic factors are some key player in the pathogenesis of obesity. In …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 45–53 Read article
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Computer Aided Drug Designing for Targeted Drug Delivery Systems
Abstract: The discovery and development of a contemporary sedate is widely acknowledged as an extremely difficult task that requires significant resources and effort. Therefore, computer-aided medication design techniques are widely utilized today to increase the productivity of the drug discovery and development process. Among structure-based and ligand-based drug design approaches, both recognized for their efficiency in drug discovery and development, various CADD (Computer-Aided Drug Design) techniques are evaluated based on specific …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 34–41 Read article
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Bio-Inspired FGPCs for Biomedical and Structural Applications
Abstract: Bio-inspired functionally graded polymer composites (FGPCs) represent a new class of smart materials that use gradient material distributions to enhance mechanical and biological properties, mimicking natural systems like bones, shells, and plant stems. FGPCs exhibit smooth gradient distributions across interfaces, which improves biocompatibility and reduces the risk of failure under complex loading and environmental conditions. In this study, bio-inspired FGPCs were designed, fabricated, and validated using a combined experimental and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–481 Read article
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Enhancing Sustainability and Safety in India's Process Industry Through Targeted Innovations
Abstract: The process industry operates within a highly intricate and high-risk environment, necessitating well-structured strategies to safeguard workers, maintain safety standards, and preserve environmental integrity. This study explores the impact of diverse safety interventions designed to enhance health, safety, and environmental performance. It evaluates multiple approaches, including engineering solutions, procedural controls, protective gear, and behavioral adjustments, aimed at mitigating risks such as chemical spills, fires, explosions, equipment failures, and occupational health …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 22–36 Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology Read article
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article
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Wiskott-Aldrich Syndrome: A Comprehensive Guide
Abstract: Wiskott-Aldrich Syndrome (WAS) is an uncommon genetic disorder inherited through the X chromosome, marked by a combination of immune system deficiencies, eczema, and low platelet counts. This syndrome primarily affects males, leading to significant morbidity and mortality due to recurrent infections, bleeding complications, and autoimmune diseases. Mutations in the WAS gene disrupt the production of the Wiskott-Aldrich Syndrome protein (WASp), crucial for the functioning of immune cells and platelet formation. …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 39–46 Read article
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Design and Analysis of Quality Improvement for Radiator Manufacturing Industry
Abstract: This study investigates the design and analysis of quality control measures for the radiator manufacturing industry through the utilization of various nanofluids. Both experimental techniques and computational fluid dynamics (CFD) simulations using ANSYS software are employed to assess the performance of different nanofluids in enhancing the efficiency and reliability of radiators. The experimental aspect involves testing the heat transfer characteristics and thermal conductivity of nanofluids, while CFD simulations provide insights …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 24–28 Read article
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Understanding Metabolic Syndrome and its Nutritional Management
Abstract: Metabolic syndrome (MetS) is a collection of risk factors, especially when at least three occur together, including abdominal obesity, dyslipidemia, low high-density lipoprotein cholesterol (HDL-c) levels, hypertension, and insulin resistance. MetS is linked to an increased risk of diabetes and cardiovascular diseases (CVDs) if treatment is not received.The causes of MetS include both genetic and acquired factors that contribute to issues such as insulin resistance, chronic low-grade inflammation, and obesity. …
Published in International Journal of Sustainability · Vol. 2, Issue 1, 2025 · pp. 26–37 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
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Gut Microbial Metabolites in Inflammatory, Metabolic, and Neurologic Disorders.
Abstract: The human gut microbiota transforms dietary and hostderived substrates into a diverse array of metabolites—including shortchain fatty acids (SCFAs), hydrogen sulfide (H₂S), bile acid derivatives, indoles, trimethylamine Noxide (TMAO), branchedchain amino acid (BCAA) derivatives, and lipopolysaccharide (LPS)—that act as key signaling mediators along epithelial, immune, endocrine, and neural axes. These metabolites regulate barrier integrity, energy homeostasis, inflammation, and gut–brain communication and are increasingly implicated in the pathogenesis of inflammatory bowel …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 58–64 Read article
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Nutrient Sensing and Microbiota Crosstalk: Driving Determinants Shaping Metabolic Stability and Adaptive Physiology for Animal Health
Abstract: Nutrient sensing is a fundamental cellular process that enables animals to adapt to fluctuating dietary inputs while maintaining metabolic homeostasis and health. Recent advances reveal that the gut microbiota functions as an active metabolic partner, producing bioactive metabolites that directly influence host nutrient-sensing pathways and downstream cellular responses. This review synthesizes current knowledge on the integration of key signalling networks, including adenosine monophosphate activated protein kinase (AMPK), mechanistic target of …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article