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1949 articles for “Structural” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Bridging the Gap: Exploring the Social and Economic Dimensions of Gender Equality
Abstract: Gender equality is a fundamental human right and a critical prerequisite for sustainable social and economic development. Despite notable progress in recent decades, significant disparities persist worldwide, particularly in the social and economic domains. This paper explores the multifaceted nature of gender inequality, examining how structural, cultural, and institutional barriers continue to shape unequal access to resources, opportunities, and decision-making power. By analysing key sectors such as education, healthcare, labour …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
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Revolutionizing Gender Justice: The Intersection of AI and Third-Gender Rights in Indian Legal Systems
Abstract: Artificiаl intеlligеncе (AI) аnd third-gеndеr rights in Indiа convеrgе аt а рivotаl juncturе for аdvаncing еquitаblе justicе systems. A trаnsformаtivе cараcity emеrgеs whеn аlgorithmic tools аrе strаtеgicаlly alignеd with lеgаl frаmеworks, раrticulаrly in reducing systemic bаrriеrs through еnhаncеd judiciаl аccеssibility. This аnаlysis еvаluаtеs AI’s duаl rolе аs both cаtаlyst аnd chаllеngе within Indiа’s evolving рolicy lаndscаре, focusing on thrее domains: lеgislаtivе dеsign, рredictivе jurisрrudеncе, аnd rights-bаsеd govеrnаncе structurеs. Currеnt rеsеаrch …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 25–31 Read article
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Adoption of Major Climate-Smart Agricultural Practices in Gimbo District, Southwest Ethiopia
Abstract: This study investigates the determinants of adoption of Climate-Smart Agricultural Practices (CSAPs) among smallholder farmers in Gimbo District, Southwest Ethiopia. The focus is on three key technologies: agroforestry, improved seed varieties, and improved livestock feed and feeding practices. Primary data were collected from 384 households through structured interviews, and a multivariate probit (MVP) model was employed to analyze the simultaneous adoption of multiple technologies while accounting for potential interdependencies. Descriptive …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 65–76 Read article
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The Heat of Competition: Assessing Climate Vulnerabilities and Adaptive Governance in Endurance, Winter, and Youth Sports
Abstract: Background: Climate change is fundamentally reshaping the environmental parameters of global sport, posing unprecedented risks to athlete health, safety, and performance. As rising temperatures, frequent extreme heat events, and deteriorating air quality become the new normal, athletic environments from community fields to elite international arenas face an existential threat. Purpose: This study provides an interdisciplinary synthesis of the multifaceted impacts of climate change on athletes, integrating evidence from sports medicine, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 9–17 Read article
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Optimizing Airline Efficiency Using Big Data and Predictive Analytics
Abstract: Recent technological advancements have resulted in the generation of vast volumes of data across industries, including the airline sector, supporting operational control and service quality. Big Data Analytics (BDA) enables organizations to analyze large and complex datasets to derive actionable insights that support informed decision – making and superior operational performance. This review paper systematically analyzes twenty relevant research studies to explore the application of Big Data Analytics (BDA) within …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article
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Role-Based Online Food Ordering and Delivery System Using Django and Restful Architecture
Abstract: Traditional food ordering processes in restaurants rely heavily on manual interactions, including in- person ordering, phone-based bookings, and unstructured coordination between customers, restaurants, and delivery personnel. These approaches lead to inefficiencies such as delayed order processing, incorrect order handling, lack of real-time tracking, and poor coordination among stakeholders. Although modern applications exist, many academic implementations lack modular architecture, role-based access control, and scalable backend design. This paper presents the design …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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Challenges, Risks, and Limitations of Vibe Coding in AI- Assisted Software Development
Abstract: Vibe coding a new way of programming driven by LLMs (Large Language Model).it helps developers to write code from natural language. Coders can use prompts to AI for there code generation. Ai assistant generate software directly threw the text. Now they are able to make tasks and understand the user requirements. This process make our development fast and easy for the developers. but vibe coding has some drawbacks sometime it …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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Comparison of Models of Machine Learning and Hyperparameter optimization methods on various datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameters tuning step. The traditional exhaustive methods of search (Grid Search and others) ensure that the search space is covered, but are computationally very inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian Optimization, Tree-structured Parzen Estimator (TPE), Genetic Algorithms) are thought to …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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Evaluating the Usability and Effectiveness of Desktop Voice Assistants on Windows Operating Systems
Abstract: This paper presents an in-depth empirical study of usability and effectiveness regarding the use of desktop voice assistants in Windows operating systems. While a lot of research has been done on mobile-based assistants like Siri and Google Assistant, or smart speaker platforms like Amazon Alexa, desktop-based assistants remain comparatively under-explored. A total of 176 participants were surveyed to analyze their experiences with DVA in usability, multitasking, accuracy, accessibility, and overall …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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BVC Edupay – Smart College Fee Payment System
Abstract: Fee management has become a crucial component of modern educational institutions, with increasing reliance on digital platforms to handle financial transactions and administrative processes. However, students and staff often encounter challenges such as scattered fee information, manual verification procedures, delayed payment updates, and limited transparency across departments. To address these issues, BVC EduPay – Smart College Fee Payment System is developed as a centralized digital platform that consolidates academic fees, …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article
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Smart Contract: A new buzz word for reliable decentralized network
Abstract: Blockchain technology has emerged as a foundational distributed-ledger architecture enabling decentralized, transparent, and tamper-resistant data management across diverse digital ecosystems. This paper presents an integrated review of blockchain fundamentals, consensus mechanisms, smart contract design, and real-world applications beyond cryptocurrencies. It discusses the evolution of smart contracts as automated, self-executing programs that remove intermediaries and ensure deterministic execution, while highlighting critical security vulnerabilities such as reentrancy, arithmetic overflows, and improper access …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article
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Comprehensive Evaluation of Quercetin from Bauhinia purpurea for Its Anti-Acne and Anti-Inflammatory Potential, Including Advances in Quercetin-Loaded Nanogel Formulation
Abstract: Acne vulgaris is among the most prevalent chronic inflammatory dermatoses in clinical dermatology, afflicting a substantial proportion of the global adolescent and adult population. Conventional pharmacotherapies — including topical retinoids, benzoyl peroxide, and systemic antibiotics — remain the therapeutic mainstay; however, their long-term utility is progressively undermined by adverse cutaneous reactions, systemic toxicity, and the rising prevalence of antibiotic-resistant Cutibacterium acnes strains. These limitations have intensified scientific interest in plant-derived …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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Determination of Compatibility of Polymer Systems and Study of Chemical Properties of their Mixtures
Abstract: We have obtained mechanical strength of materials as a result not by synthesizing new polymers, but by using industrial polymers. We have developed a technology for obtaining new composite materials based on industrial multi-tonnage polymers of high-strength polyethylene (HSPE), polyvinyl chloride (PVC), polyurethane thermoplastic elastomer (DUTEP), butyl rubber (BR), chlorocarboxylate polyethylene (CCPE), ethylene propylene rubber (EPR). To obtain a composition from these polymers, their mixture compatibility was first determined using …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 17–29 Read article
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Thermo-Mechanical Vibration Analysis of Simply Supported Laminated and Flat Plates Under Harmonic Loading
Abstract: This paper delves into a numerical exploration of the vibration characteristics and frequency response of two types of plates: a simply supported rectangular laminated plate and a simply supported flat plate. These plates are subjected to concentrated harmonic forces within a thermal environment. The determination of the critical buckling temperature guides the assessment of thermal load effects. Analytical formulations, incorporating first-order shear deformation theory (FSDT) to consider shear deformation and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1519–1530 Read article
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Molecular Dynamics and Therapeutic Architectures of Cannabinoid Receptors: A Comprehensive Review
Abstract: Expanding on these foundations, recent structural biology studies using cryo-electron microscopy have provided high-resolution insights into the conformational dynamics of CB₁ and CB₂ receptors. These findings have enabled a more precise understanding of ligand–receptor interactions, particularly how agonists, antagonists, and reverse agonists stabilize distinct receptor states. Such knowledge is critical for rational drug design, allowing researchers to selectively modulate downstream signaling pathways. For instance, CB₁ receptors primarily couple to Gi/o …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 36–40 Read article
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The Early Brain Hemorrhage Prediction System Using Machine Learning
Abstract: Brain hemorrhage is a critical medical emergency that requires immediate attention, as delays in diagnosis can result in severe neurological damage or death. The condition involves bleeding within or around brain tissues, leading to increased intracranial pressure and disruption of normal brain function. Although imaging techniques such as CT scans and MRI provide accurate diagnosis, their availability is limited in emergency and rural settings. In recent years, machine learning has …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 Read article
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Thermo-Hydraulic Enhancement of Annular Finned Shell-and-Tube Heat Exchangers Using Epoxy-Based Polymer Composites: A Material–Geometry Coupled CFD Investigation
Abstract: Shell-and-tube heat exchangers remain a backbone of industrial thermal systems, yet their performance is often limited by relatively low shell-side heat transfer and the weight and cost associated with conventional metallic components. In this context, the integration of polymer composite materials offers a promising pathway toward lightweight, corrosion-resistant, and performance-tunable heat exchanger designs. The present study investigates the thermo-hydraulic performance of a straight-tube shell-and-tube heat exchanger equipped with annular fins, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 669–684 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