Search
1593 articles for “strategy”
-
Polymer Chemistry-Guided Development of Biomimetic Composite Scaffolds
Abstract: Polymer chemistry plays a fundamental role in advancing biomaterials for anatomical tissue engineering, particularly in the design of composite scaffolds that replicate the intrinsic characteristics of native tissues. The regeneration of damaged tissues, especially within anatomically complex structures such as bone, cartilage, and skin, necessitates biomaterials that closely emulate the hierarchical architecture and biological functions of native extracellular matrices (ECMs). The capacity to replicate both mechanical and biochemical cues of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 7–13 Read article
-
Evolution of Lean Manufacturing in Mechanical Industries: From Traditional Tools to Digital Transformation
Abstract: Lean manufacturing has long been a foundational strategy for enhancing productivity, reducing operational waste, and improving overall efficiency in mechanical industries. Initially developed as part of the Toyota Production System, lean principles focused on eliminating non-value-adding activities and streamlining processes using a set of well-established tools such as 5S, Kaizen, Kanban, and value-stream mapping. Over the decades, these principles have been adopted and refined globally, particularly within the mechanical sector, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 13–18 Read article
-
Hybrid Machining Processes in Advanced Manufacturing: A Review of Mechanisms and Industrial Applications
Abstract: Hybrid machining processes (HMPs) have gained considerable attention in recent years as an effective approach to address the growing complexity and performance demands of modern manufacturing systems. These processes combine two or more machining techniques—such as mechanical, thermal, chemical, or electrical methods—into a single setup, enabling enhanced productivity, precision, and adaptability, particularly for hard-to-machine materials like ceramics, composites, and superalloys. The integration of distinct energy sources results in synergistic effects …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
-
The Role of Simulation and Digital Twins in Enhancing Mechanical Production Efficiency: A Systematic Review
Abstract: In the evolving landscape of smart manufacturing, simulation technologies and digital twin (DT) systems have emerged as pivotal tools for enhancing the efficiency, agility, and sustainability of mechanical production processes. This systematic review investigates how the integration of simulations and DTs contributes to performance improvements across various stages of mechanical manufacturing—ranging from design and process optimization to predictive maintenance and real-time monitoring. While simulations provide the ability to model, test, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 31–36 Read article
-
The Impact of Geographical Indications on Sustainable Rural Development: Comprehensive Economic and Cultural Insights from Wayanad, Kerala
Abstract: Geographical Indications (GIs) play a vital role in fostering sustainable rural development by linking unique local products to their geographic origins. This study explores the impact of GIs on economic growth, cultural preservation, and environmental sustainability in Wayanad, Kerala. Drawing from extensive secondary data and detailed case studies including Wayanad Coffee, Jeerakasala Rice, and traditional handicrafts, the research highlights how GI certification enhances market value, improves income levels, and preserves …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 18–29 Read article
-
Controlled Release Drug Delivery Using 3D Printing Techniques: A Current Scenario In Personalized Medicine
Abstract: Three-dimensional (3D) printing is particularly influencing the pharmaceutical manufacturing sector in the creation of controlled release drug delivery systems. This technology enables the precise fabrication of personalized medicines with tailored drug release profiles, dosages, and geometries, marking a significant advancement over traditional mass production methods. An array of 3D printing techniques, including extrusion-based, powder-based, and others, can be used to build complex dosage forms that regulate drug release through processes …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 28–43 Read article
-
Advancing Cancer Vaccine Development through CRISPR/Cas9 Technologies and Future Opportunities
Abstract: The advent of CRISPR/Cas9 genome editing has revolutionized the cancer immunotherapy market, offering unprecedented precision and versatility in the development of next-generation cancer vaccines. This review examines how CRISPR technologies are being integrated into various stages of cancer vaccine development including neoantigen discovery, dendritic cell engineering, cancer cell reprogramming, and tumor microenvironment modulation. In the area of neoantigen discovery, CRISPR enables rapid identification and validation of tumor-specific mutations, thereby supporting …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 Read article
-
Multifunctional Materials for Electro-Mechanical Applications: Synergistic Integration of Strength and Conductivity
Abstract: The integration of mechanical strength and electrical conductivity within a single material system has emerged as a critical requirement in the development of next-generation multifunctional materials. These materials are increasingly sought after in fields such as aerospace, flexible electronics, energy storage, and structural health monitoring, where the traditional separation of structural and functional materials leads to inefficiencies in weight, space, and overall performance. The convergence of these properties enables compact …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
-
Hybrid Material Systems for Flexible Electronics Electro-Mechanical Performance and Future Prospects
Abstract: Flexible electronics are transforming the landscape of modern electronic systems, enabling devices that are lightweight, stretchable, and adaptable to complex surfaces. These technologies are particularly impactful in applications such as wearable health monitors, soft robotics, energy harvesting systems, and implantable biomedical devices. At the heart of this evolution are hybrid material systems—engineered composites that combine organic polymers and inorganic nanomaterials to achieve synergistic electro-mechanical properties. These materials address the limitations …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 7–12 Read article
-
A Comprehensive Review on Piezoelectric Composites for Energy Harvesting and Sensing
Abstract: The capacity of piezoelectric composites to transform mechanical energy into electrical energy and vice versa has drawn a lot of interest recently. This property makes them very appealing for use in energy harvesting and sensing applications. These materials combine the high piezoelectric performance of ceramics with the mechanical flexibility and processability of polymers or other matrices, enabling a wide range of practical uses in flexible electronics, wearable systems, and embedded …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article
-
Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
-
Review article on Quality Control in Clinical Trials
Abstract: Quality control (QC) is a critical component in the conduct of clinical trials, ensuring the accuracy, reliability, and credibility of data collected throughout the study. It encompasses a systematic set of procedures designed to monitor trial conduct and data integrity, thus safeguarding the rights, safety, and well-being of participants. This review explores the principles, implementation, and evolving practices of quality control in clinical trials, highlighting its importance across all phases …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
-
Drug Utilisation and Cost Analysis in End-Stage Renal Disease Patients: A Prospective Observational Study
Abstract: Chronic Kidney Disease (CKD) is a condition in which the kidneys are damaged and unable to efficiently remove waste and excess fluid from the blood. Dialysis serves as a treatment for CKD by artificially carrying out the kidney’s filtering functions. This prospective observational cross-sectional study was conducted to evaluate drug utilization patterns, economic burden, and health-related quality of life (HRQoL) among patients with end-stage renal disease (ESRD) undergoing dialysis. Over …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
-
Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
-
Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
-
Richness of Marine Biodiversity: Ecological, Economic, and Conservation Perspectives
Abstract: Marine life is diverse, from minuscule plankton to the greatest species on Earth. Marine biodiversity is extensive, and this article examines the ecological roles of species in coral reefs, deep-sea trenches, and coastal environments. Ocean life is essential for keeping the planet's environment in balance. It helps control the Earth's climate and provides income, food, and resources for millions of people around the world. Marine ecosystems are home to an …
Published in International Journal of Marine Life · Vol. 2, Issue 2, 2025 Read article
-
Phyto-Entrapped Carbon Dots as Emerging Nanomaterials for Anti-Cancer Activity
Abstract: Phytoconstituent-loaded carbon dots (C-dots) represent an innovative approach in targeted cancer therapy, combining the therapeutic power of plant-derived compounds with the advanced capabilities of nanotechnology. These ultra-small, biocompatible nanostructures offer excellent fluorescence, tunable surface chemistry, and low toxicity, making them ideal for drug delivery, bioimaging, and theranostic applications. Traditional phytochemicals often face challenges like poor solubility, low bioavailability, and high first-pass metabolism barriers that C-dots help overcome. C-dots synthesized through …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 51–63 Read article
-
Climate-Driven Shifts in Vector-Borne Disease Ecology Across South Asia
Abstract: Climate change remains one of the most important phenomena affecting the geographical distribution and movement patterns of vector-borne diseases. In South Asia – characterized by high population density, rich biodiversity, and sharp climatic differences – there is growing evidence of the relationship between increasing temperatures and erratic precipitation, along with the behavior of insect vectors. This research aims to evaluate the effects of climate environmental changes on the distribution and …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
-
Pharmacogenomics: Unlocking the Genetic Basis of Drug Response for Precision Medicine
Abstract: Pharmacogenomics, a fusion of pharmacology and genomics, explores how genetic variations influence individual responses to medications. This field is revolutionizing modern medicine by moving away from a one-size-fits-all approach toward personalized treatment strategies. By identifying specific genetic markers, pharmacogenomics aims to enhance drug efficacy, minimize adverse drug reactions, and improve overall patient outcomes. Key methodologies in this discipline include candidate gene analysis, genome-wide association studies, and haplotype analysis, all of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 52–59 Read article
-
Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article