Results 171 to 180 of about 22,883 (226)

Polyelectrolyte Design Principles for Electrophoretic Drug Delivery

Advanced Science, EarlyView.
Structure–property–function mapping of polyelectrolytes reveals how composition and nanoscale order control on‐demand electrophoretic drug transport. Charge density quantified under implant‐relevant conditions shows that encapsulation limits swelling, enabling high effective charge density.
Helena Saarela Unemo, Iwona Bernacka‐Wojcik, Lingkai Zhu, Marle E. J. Vleugels, Moa E. Hörberg, Caroline Lindholm, Magnus Berggren, Daniel T. Simon, Theresia Arbring Sjöström   +8 more
wiley   +1 more source

Decoupling the Transparency‐Efficiency Trade‐Off in Semi‐Transparent Organic Solar Cells via Optimized Dual‐Channel Photoelectric Conversion

Advanced Science, EarlyView.
The respective roles of the heterojunction (HJ) and spontaneously formed photo‐charge (SP) channels in low‐donor‐content devices have been decoupled and subjected to a targeted optimization strategy. A breakthrough of light utilization efficiency (LUE) in semi‐transparent organic solar cells (ST‐OSCs) is achieved.
Yuyan Li, Shibo Wang, Heng Liu, Bonan Shi, Zhuoqiong Zhang, Yabing Tang, Yuting Song, Shu Kong So, Dongbin Dang, Han Yan, Xinhui Lu, Guilong Cai, Suojiang Zhang   +12 more
wiley   +1 more source

The structural and organizational aspects of human papillomavirus vaccine affecting immunization coverage in Europe: a systematic review. [PDF]

BMC Public Health
Valdecantos RL, Sorrentino M, Mercogliano M, Giordano V, Trama U, Triassi M, Palladino R.   +6 more
europepmc   +1 more source

A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection

Advanced Science, EarlyView.
A scenario‐guided Cas13d platform enables configurable single nucleotide variant ribonucleic acid diagnostics through rule‐based guide design and ribonucleic acid binding domain engineering, supporting amplification‐free ultrasensitive detection and amplification‐coupled robust detection for accurate mutation classification in clinical tumor specimens.
Zeyu Wang, Jiahao Li, Zhuying Yue, Beixuan He, Wenhua Zhang, Zhen Fang, Qing Xia, Yingbin Liu, Yanjing Li   +8 more
wiley   +1 more source

Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles. [PDF]

Sci Rep
Dakic P, Zivkovic M, Jovanovic L, Bacanin N, Antonijevic M, Kaljevic J, Simic V.   +6 more
europepmc   +1 more source

Light‐Harvesting Photothermal Hotspots Enabled by NIR Scattering‐Absorption Coupling

Advanced Science, EarlyView.
By coupling the broadband scattering of nanodiamonds with the plasmonic absorption of gold nanostars, this work proposes a novel strategy for the active modulation of photon transport. This strategy creates localized photothermal hotspots in turbid media and achieves a supra‐additive heating efficiency, thereby providing a universal platform for low ...
Zebin Wu, Changming Bao, Pengyu Zhang, Tao Ding, Weiming Lin, Haodong Li, Wenjian Luo, Xizhi Deng, Hao Wang, Guanle Li, Hongyue Hu, Ye Wang, Dawei Jiang, Yu Zhang, Sisi Jia, Nan Zhang, Min Ke, Le Liang   +17 more
wiley   +1 more source

Deep learning-driven survival prediction in pan-cancer studies by integrating multimodal histology-genomic data. [PDF]

Brief Bioinform
Hu Y, Li X, Yi Y, Huang Y, Wang G, Wang D.   +5 more
europepmc   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Search-optimized quantization in biomedical ontology alignment. [PDF]

Front Artif Intell
Bouaggad O, Grabar N.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source