Results 101 to 110 of about 69,276 (264)

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source

High-Performance Lung Disease Identification and Explanation Using a ReciproCAM-Enhanced Lightweight Convolutional Neural Network

IEEE Access
Lung diseases significantly contribute to global morbidity and mortality, underscoring the importance of accurate and efficient diagnostic tools. This study introduces a lightweight two-dimensional convolutional neural network (LW-2DCNN) integrated with ...
Hoan-Suk Choi, Jinhong Yang
doaj   +1 more source

Breathable Graphene Oxide‐Polymer Composite Membranes With Two‐Step Barrier Mechanism Against Nerve Agents

Advanced Functional Materials, EarlyView.
ABSTRACT Breathable membranes that reject chemical warfare agents (CWAs) are required for next‐generation protective apparel. A dual‐function graphene oxide (GO)‐polyamine architecture is introduced that addresses the long‐standing tradeoff between vapor transmission and CWA selectivity.
Hyungjun Kim, Chanui Lee, Keunhong Jeong, Seonggi Kim, Hyunju Shin, Sunghan Kim, Youngho Jin   +6 more
wiley   +1 more source

Research on the Behavior Recognition of Beef Cattle Based on the Improved Lightweight CBR-YOLO Model Based on YOLOv8 in Multi-Scene Weather

Animals
In modern animal husbandry, intelligent digital farming has become the key to improve production efficiency. This paper introduces a model based on improved YOLOv8, Cattle Behavior Recognition-YOLO (CBR-YOLO), which aims to accurately identify the ...
Ye Mu, Jinghuan Hu, Heyang Wang, Shijun Li, Hang Zhu, Lan Luo, Jinfan Wei, Lingyun Ni, Hongli Chao, Tianli Hu, Yu Sun, He Gong, Ying Guo   +12 more
doaj   +1 more source

The Cuttlebone Blueprint for Multifunctional Metamaterials: Design Taxonomy, Functional Decoupling, and Future Horizons

Advanced Functional Materials, EarlyView.
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley   +1 more source

Real-time and resource-efficient banana bunch detection and localization with YOLO-BRFB on edge devices

Frontiers in Plant Science
Reliable detection and spatial localization of banana bunches are essential prerequisites for the development of autonomous harvesting technologies. Current methods face challenges in achieving high detection accuracy and efficient deployment due to ...
Shuo Wang, Shuo Wang, Shuo Wang, Lijiao Wei, Danran Zhang, Danran Zhang, Ling Chen, Ling Chen, Weihua Huang, Dongjie Du, Kangmin Lin, Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Jieli Duan   +14 more
doaj   +1 more source

Synergistic All‐in‐One Electroceutical Platform Utilizing a Plasma–Photodynamic Hybrid Approach for Enhanced Wound Healing

Advanced Functional Materials, EarlyView.
A flexible hybrid patch integrating a robust cold atmospheric plasma (CAP) system with a high‐power, ultrathin bio‐OLED was developed to enable synergistic wound healing. This multimodal therapy, combining plasma and photodynamic treatment, enhanced angiogenesis, cell proliferation, and collagen deposition, demonstrating superior in vivo efficacy and ...
Jun‐Yeop Song, Hyun Cheol Bang, Young Hyun Son, Dae‐In Ha, Eun‐Ju Hong, Sun‐Woo Lee, Jeongsook Kim, Doyeong Kim, Sang‐Min Park, Kyu Pil Lee, Hyo‐Jung Kwon, Jeong Hyun Kwon   +11 more
wiley   +1 more source

Fine-YOLO: A Simplified X-ray Prohibited Object Detection Network Based on Feature Aggregation and Normalized Wasserstein Distance

Sensors
X-ray images typically contain complex background information and abundant small objects, posing significant challenges for object detection in security tasks.
Yu-Tong Zhou, Kai-Yang Cao, De Li, Jin-Chun Piao   +3 more
doaj   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

A lightweight grape detection model in natural environments based on an enhanced YOLOv8 framework

Frontiers in Plant Science
Grapefruit and stem detection play a crucial role in automated grape harvesting. However, the dense arrangement of fruits in vineyards and the similarity in color between grape stems and branches pose challenges, often leading to missed or false ...
Xinyu Wu, Xinyu Wu, Rong Tang, Rong Tang, Jiong Mu, Jiong Mu, Yupeng Niu, Zihan Xu, Ziao Chen   +8 more
doaj   +1 more source