Results 81 to 90 of about 160,176 (268)

Viral Infection‐Inspired Autonomous Detection of Fusion‐Competent Viruses for Screening and Environmental Surveillance

Advanced Materials, EarlyView.
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park, Yidam Song, Hyun‐Woo Choi, Jaeuk Sung, Harin Jin, WonSeok Gwak, Kirim Yoo, Soohwang Lee, Jongeon Park, Jeongmin Kim, Hye‐Jun Jo, Jahyun Koo, Youngdo Jeong, Kwan Hyi Lee, Seung‐Jung Kee, Hojun Kim   +15 more
wiley   +1 more source

Wide-angle fluid reservoir thickness changes during short-term scleral lens wear

Eye and Vision
Background To analyze the fluid reservoir thickness over the whole cornea during scleral lens settling using wide-angle optical coherence tomography (OCT) images and customized computer software.
Feifu Wang, Stephen J. Vincent, Pauline Cho, Yi Shen, Zihao Sheng, Meixiao Shen, Jun Jiang   +6 more
doaj   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

Advanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang, Kun‐Hao Yu, Ji Yoon Bae, Yunchan Lee, Dorit Aviv, Shu Yang   +5 more
wiley   +1 more source

Cost-effectiveness and cost-utility of a digital technology-driven hierarchical healthcare screening pattern in China

Nature Communications
Utilization of digital technologies for cataract screening in primary care is a potential solution for addressing the dilemma between the growing aging population and unequally distributed resources.
Xiaohang Wu, Yuxuan Wu, Zhenjun Tu, Zizheng Cao, Miaohong Xu, Yifan Xiang, Duoru Lin, Ling Jin, Lanqin Zhao, Yingzhe Zhang, Yu Liu, Pisong Yan, Weiling Hu, Jiali Liu, Lixue Liu, Xun Wang, Ruixin Wang, Jieying Chen, Wei Xiao, Yuanjun Shang, Peichen Xie, Dongni Wang, Xulin Zhang, Meimei Dongye, Chenxinqi Wang, Daniel Shu Wei Ting, Yizhi Liu, Rong Pan, Haotian Lin   +28 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Differentiating Choroidal Melanomas and Nevi Using a Self-Supervised Deep Learning Model Applied to Clinical Fundoscopy Images

Ophthalmology Science
Purpose: Testing the validity of a self-supervised deep learning (DL) model, RETFound, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation. Design: Case-control study.
Max Jackson, MPhys, Helen Kalirai, BSc, PhD, Rumana N. Hussain, MBBS, MD, Heinrich Heimann, MD, PhD, Yalin Zheng, MEng, PhD, Sarah E. Coupland, MBBS, PhD   +5 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Pushing the limit: Globe salvage of Group D retinoblastoma with severe vitreous seeding with intra-arterial chemotherapy and 15 cycles of intravitreal chemotherapy

American Journal of Ophthalmology Case Reports
Purpose: To report the successful treatment of persistent retinoblastoma vitreous seeding with 6 cycles of intra-arterial chemotherapy and 15 cycles of intravitreal chemotherapy injections.
Eugenia C. Greig, Roxanna Rabiee, Armin R. Afshar   +2 more
doaj   +1 more source