Search
1970 articles for “challenges” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
-
Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
-
Parametric Optimization of Aluminum Alloy 6061 Using Wire-EDM for Automotive Applications: A Taguchi-Based Approach
Abstract: Machining hard materials with complex geometries presents numerous challenges, often requiring the use of non-traditional methods such as wire Electric Discharge Machining (EDM). However, wire EDM machines operate at slow speeds, and increasing the speed can negatively impact surface finish, making it a difficult task. The ongoing research investigates the machinability study of Aluminum Alloy 6061 using wire EDM, emphasizing the optimization of process parameters to enhance machining performance and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 293–302 Read article
-
A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
-
Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 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 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
-
Harnessing Polymer Chemistry for Pharmaceutical Technology
Abstract: Polymer chemistry has emerged as a cornerstone of modern pharmaceutical technology, offering unprecedented control over drug formulation, delivery, and therapeutic performance. This review highlights the pivotal role of polymers—both synthetic and natural—in revolutionizing drug delivery systems across various routes, including oral, parenteral, transdermal, ocular, nasal, and pulmonary administration. Special emphasis is placed on the structural and functional versatility of polymers, which allows for tailored drug release profiles, enhanced bioavailability, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1–6 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
-
A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 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
-
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
-
Dielectric Elastomers in Actuation and Energy Applications: Material Behavior and Design Strategies
Abstract: Dielectric elastomers (DEs), a class of electroactive polymers, have attracted significant attention for their ability to undergo large, reversible deformations under electric stimulation. This unique capability makes them highly suitable for a range of actuation and energy harvesting applications, especially in the emerging fields of soft robotics, flexible electronics, artificial muscles, and sustainable power generation systems. DEs offer compelling advantages such as low weight, mechanical flexibility, high energy density, and …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 13–18 Read article
-
Conversion of PET waste bottles into a useful catalyst
Abstract: Metal-organic frameworks (MOF) are composed of metal ions and organic linkers and have many application fields. Most of MOFs are synthesized by solvothermal method and in this method we mainly use DMF solvent.This paper proposed the synthesis method of MOF UiO-66 which is more eco-friendly than conventional method using harmful DMF solvent. In this method we use the PET waste bottles, which causes a lot of environmental problems in all …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 11–17 Read article
-
Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 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
-
Assessment of Water Quality and Quantity Trends at Reuse Locations within the Bahr El- Baqar Drainage Catchment under Water Stress Reduction Scenarios
Abstract: Many countries face the pressing challenge of water scarcity, affecting around 20% of the global population in areas with water shortages. Egypt, one of the most populous countries in Africa and the Middle East, is severely impacted by this issue. To address this, Egypt is focusing on developing alternative water resources, including the reuse of agricultural drainage water for irrigation. In this study, the SIWARE model was employed to evaluate …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 1–11 Read article
-
Rethinking Consumer Preferences for Broiler Meat: Addressing Public Concerns for Sustainable Development
Abstract: Broiler meat is a crucial component of global protein consumption, yet its acceptance is often hindered by concerns related to health, animal welfare, environmental sustainability, and consumer perception. This study examines the factors influencing consumer preferences for broiler meat and explores strategies to address public concerns while promoting sustainable development. Misinformation regarding antibiotic residues, growth promoters, and broiler welfare has contributed to negative consumer sentiment, leading to a preference for …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
-
A Study on Smart Healthcare Innovations
Abstract: The desire for effective, patient-centred solutions and the rapid growth of technology are driving forces in the healthcare industry. The term "smart healthcare innovation" refers to a broad category of approaches, tools, and procedures that are intended to improve patient outcomes, optimize resource use, and enhance overall healthcare delivery. These innovations integrate cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), wearable devices, big data analytics, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 63–68 Read article