Results 211 to 220 of about 762,592 (290)

Spatially Encoded Protocell Network for Non‐Cascaded Parallel Biocomputation

Advanced Science, EarlyView.
A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Shuqi Wu, Liangfei Tian
wiley   +1 more source

The impact of health insurance on rural energy transition: evidence from rural China. [PDF]

Front Public Health
Wang H, Wang Z.
europepmc   +1 more source

A Novel tRNA Half mt‐5’‐tiRNA‐Tyr Promotes Colorectal Cancer Proliferation via Inducing HARS2 Succinylation

Advanced Science, EarlyView.
A mitochondria‐derived tRNA half, mt‐5’‐tiRNA‐Tyr, is upregulated in colorectal cancer tissues and plasma and promotes tumor proliferation. It binds HARS2 and promotes CPT1A‐associated HARS2 K91 succinylation, disrupts HARS2–mt‐tRNA‐His association, impairs mitochondrial translation, enhances succinate‐linked metabolic reprogramming, and shows promise ...
Xinliang Gu, Danping Zhu, Xinwei Liu, Shangshang Hu, Xincheng Yang, Junjie Nie, Tao Xu, Yuqin Pan, Mu Xu, Huiling Sun, Shukui Wang   +10 more
wiley   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Application of the Richards function to serum antibody titration. [PDF]

Front Immunol
Kovács Á, Papp K, Prechl J, Pfeil T.
europepmc   +1 more source

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

Advanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

Comparison of U.S. FDA premarket approval studies between two non-diffractive extended depth of focus lenses (AcrySof IQ Vivity versus TECNIS PureSee). [PDF]

Med Hypothesis Discov Innov Ophthalmol
Adamji Z, Pawlowski H, Molleti S, Alomar ZO, Sitto MM, Hoopes PC, Moshirfar M.   +6 more
europepmc   +1 more source

Application and Single‐Cell Regulation Mechanism of Engineered EVs Combined With 4D‐Printed Hydrogel for Infected Burn Repair

Advanced Science, EarlyView.
4D bioprinted hydrogel loaded with FGF2‐modified extracellular vesicles (4D@F‐EVs) targets dermal fibroblasts and elevates local wound FGF2 levels via sustained release of F‐EVs. It activates PI3K‐Akt signaling, restores critical KGF+ fibroblast–KGFR+ keratinocyte crosstalk, enhances robust angiogenesis and collagen deposition to efficiently repair ...
Xiaomin Wang, Xiaoyan Li, Xiao Xu, Kelun Zhang, Fengjiao Yu, Zhen Shang, Nailong Pan, Junlin Lv, Yiwei Xu, Yan Tang, Liang Zhang, Xiaotong Li, Taoyi Wang, Jing Tao, Jiaxu Song, Mengyu Zhang, Xin Ma, Dan Han, Xiaoying Kong, Wenhua Xu   +19 more
wiley   +1 more source

Improving Reliability and Explainability of Medical Question Answering Through Atomic Fact-Checking in Retrieval-Augmented Large Language Models: Creation and Validation Study. [PDF]

J Med Internet Res
Vladika J, Domres A, Nguyen M, Moser R, Nano J, Busch F, Adams L, Bressem KK, Bernhardt D, Combs SE, Borm K, Matthes F, Peeken JC.   +12 more
europepmc   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source