Smart Microneedles in Biomedical Engineering: Harnessing Stimuli‐Responsive Polymers for Novel Applications

Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(12)

Опубликована: Дек. 1, 2024

ABSTRACT This review aims to provide a comprehensive analysis of recent advancements in smart microneedles (MNs) within the biomedical field, focusing on integration stimuli‐responsive polymers for enhanced therapeutic and diagnostic applications. Conventional drug delivery methods are known face limitations precision, safety, patient compliance, which can be addressed by innovative features MNs. Through use various polymers, these MNs have been designed react environmental or physiological cues, allowing on‐demand release, biomarker sensing, localized interventions. Fundamental materials used fabrication MNs, including metals, composite hydrogels, reviewed, different categories stimuli‐responsiveness, such as photo, electro, thermal, mechanical, biochemical, explored. Application‐specific designs areas delivery, cancer therapy, diabetes management, skin disease treatments also examined. this discussion, it is highlighted that poised play significant role advancing personalized noninvasive medical treatments.

Язык: Английский

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Quantitative analysis on the optical kerr impact and third harmonic generation in beltrami-shaped curved graphene

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 11, 2025

We present a comprehensive analysis of the optical attributes graphene sheets with charge carriers residing on curved substrate. In particular, we focus fascinating case Beltrami geometry and provide an explicit parametrization for this two-dimensional surface. By employing massless Dirac description that is characteristic graphene, investigate impact properties within sample. Our findings reveal system are highly sensitive to several key factors, namely radius, surface chemical potential relaxation time. The numerical demonstrate characteristics Beltrami-shaped differ significantly from those regular due geometry. This distinction opens up exciting possibilities exploring new phenomena designing graphene-based devices customized properties.

Язык: Английский

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Metaheuristic Optimization for Robust RSSD-Based UAV Localization with Position Uncertainty

Drones, Год журнала: 2025, Номер 9(2), С. 147 - 147

Опубликована: Фев. 18, 2025

Unmanned aerial vehicles (UAVs) have garnered significant research interest across various fields due to their excellent maneuverability, scalability, and flexibility. However, potential collisions other issues can disrupt communication hinder functionality in real-world applications. Therefore, accurate localization of UAVs is crucial. Nonetheless, environmental factors inherent stability lead node positional errors UAV networks, compounded by inaccuracies transmit power estimation, complicating the effectiveness signal strength-based methods achieving high accuracy. To mitigate adverse effects these issues, a novel received strength difference (RSSD)-based scheme based on robust enhanced salp swarm algorithm (RESSA) presented. In this algorithm, an elitism strategy tent opposition-based learning (TOL) proposed promote leader move around food source. Differential evolution (DE) then used enhance exploration ability each agent improve global search. addition, dynamic movement mechanism for followers designed, enabling swiftly converge towards source, thereby accelerating overall convergence process. The RSSD-based Cramér–Rao lower bound (CRLB) with position uncertainty derived evaluate performance. Experimental results are presented, which show that RESSA provides better performance than related literature.

Язык: Английский

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Biomedical Potential of Cellulose: Current Trends and Future Directions

Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(12)

Опубликована: Ноя. 25, 2024

ABSTRACT The exploration of cellulose, a natural polysaccharide derived from renewable biomass, has seen significant advancements in recent years due to its biocompatibility, biodegradability, and versatility. This review paper comprehensively covers the latest developments cellulose derivatives as functional biomaterials for various biomedical applications. Emphasis is placed on intrinsic properties such mechanical strength, thermal stability, chemical modifiability, which enable wide‐ranging use drug delivery systems, wound dressings, tissue engineering, biosensors. article further delves into modification techniques—such oxidation, esterification, etherification—that enhance cellulose's performance, allowing it be fine‐tuned specialized medical applications, including creation scaffolds regeneration smart materials responsive release. Additionally, hybridization with inorganic offers potential developing superior antimicrobial improved characteristics. also addresses challenges processing, particularly concerning optimizing structure specific while highlighting future opportunities field personalized medicine intelligent healthcare devices. By examining both current innovations trends, this highlights growing importance sustainable versatile resource industry.

Язык: Английский

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A method for enhancing the accuracy of industrial bearing surface defect detection

Nondestructive Testing And Evaluation, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Янв. 12, 2025

Deep learning models often encounter challenges when detecting surface defects on industrial bearings, including inaccurate feature extraction caused by random shapes and multi-scale defects, as well high leakage rates of small objects in complex multi-object scenes. To address these challenges, a YOLOv8n-based method (YOLOv8-IWDD) is proposed for bearing defects. Firstly, the ImplicitHead detection head introduced, which utilises implicit addition multiplication to highlight key features. This enhancement improves extraction, resulting improved accuracy objects, especially scenarios, effectively reduces missed detections. Secondly, Inner-WIoU loss function optimises bounding box localisation, enabling model better handle randomly shaped accelerate convergence, enhance localisation accuracy. In addition, dynamic label assignment sampling strategies are achieve flexible adjustment sample method, further robustness. These model's robustness handling shape The experimental results show that YOLOv8-IWDD mAP0.5 2.9%, mAP0.5:0.95 9.4%, precision 2.2%, recall 6.5% compared with YOLOv8n model. achieves promising bearings.

Язык: Английский

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Mathematical modeling of electroosmotic flow and thermal transport in stenotic tapered arteries using finite difference method

Modern Physics Letters B, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

This study investigates the electroosmotic flow and thermal transport of nanofluids, specifically aluminum oxide titanium dioxide, within tapered arteries with stenosis. Using finite difference method (FDM), we modeled dynamics heat transfer mechanisms under assumption low Reynolds numbers mild The focuses on effects nanoparticle volume fraction, absorption parameters, forces blood flow, velocity profiles, temperature distribution. Results show that increasing concentration significantly reduce velocity, particularly in divergent artery geometries. Additionally, inclusion enhances transfer, while Grashof number influences central velocity. These findings offer valuable insights into optimizing nanoparticle-based therapeutic interventions for cardiovascular treatments, providing a framework enhancing drug delivery systems improving efficacy heat-based therapies. study’s outcomes could lead to improved diagnostic tools strategies managing diseases.

Язык: Английский

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GDS‐YOLO: A Rice Diseases Identification Model With Enhanced Feature Extraction Capability

IET Image Processing, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

ABSTRACT Accurate identification of rice diseases is a prerequisite for improving yield and quality. However, the are complex, existing models have problem weak ability to extract disease features. To address this issue, paper proposes model with enhanced feature extraction capability, named GDS‐YOLO. The proposed GDS‐YOLO improves YOLOv8n by introducing GsConv module, Dysample spatial context‐aware module (SCAM) WIoU v3 loss functions. reduces model's number parameters computational complexity. during process. SCAM allows ignore influence complex backgrounds focus on extracting function optimises regression box Compared model, P mAP50 increased 5.4% 4.1%, respectively, whereas GFLOPS decreased 23% 10.1%, respectively. experimental results show that in complexity certain extent achieves good results.

Язык: Английский

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Recent Advances in Multifunctional Naturally Derived Bioadhesives for Tissue Engineering and Wound Management

Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(12)

Опубликована: Дек. 1, 2024

ABSTRACT Recent advancements in naturally derived bioadhesives have transformed their application across diverse medical fields, including tissue engineering, wound management, and surgery. This review focuses on the innovative development multifunctional nature of these bioadhesives, particularly emphasizing role enhancing adhesion performance wet environments optimizing mechanical properties for use dynamic tissues. Key areas covered include chemical physical mechanisms adhesion, incorporation multi‐adhesion strategies that combine covalent non‐covalent bonding, bioinspired designs mimicking natural adhesives such as those barnacles mussels. Additionally, discusses emerging applications regeneration musculoskeletal, cardiac, neural, ocular tissues, highlighting potential bioadhesive‐based therapies complex biological settings. Despite substantial progress, challenges scaling lab‐based innovations clinical overcoming environmental constraints remain critical. Ongoing research bioadhesive technologies aims to bridge gaps, promising significant improvements tailored therapeutic needs.

Язык: Английский

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Non-contact vision-based response reconstruction and reinforcement learning guided evolutionary algorithm for substructural condition assessment

Mechanical Systems and Signal Processing, Год журнала: 2024, Номер 224, С. 112017 - 112017

Опубликована: Окт. 8, 2024

Язык: Английский

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Optimizing Plastic Waste Inclusion in Paver Blocks: Balancing Performance, Environmental Impact, and Cost Through LCA and Economic Analysis

Journal of Cleaner Production, Год журнала: 2024, Номер 478, С. 143901 - 143901

Опубликована: Окт. 10, 2024

Язык: Английский

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