Results 141 to 150 of about 2,612,334 (315)

A Soft Matrix Microenvironment Promotes Laterally Spreading Tumors via Oxidative Phosphorylation‐Dependent Cell Adhesion

Advanced Science, EarlyView.
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong, Jingyi Lu, Haopeng Li, Jun Zhong, Xiaobei Luo, Yiyi Hu, Xianfei Wang, Pengfei Wang, Yanning Zhang, Zhenjiang Wang, Qiuhua Lai, Zhenyu Chen, Wenting Mi, Wang Tin San‐to, Weize Li, Shuping Tan, Qihong Cheng, Ruijia Li, Yida Nie, Side Liu, Bing Huang, Zelong Han   +21 more
wiley   +1 more source

CLINICAL AND DIAGNOSTIC VALUE OF STUDIES OF ENDOTHELIAL DYSFUNCTION MARKERS IN PATIENTS WITH ISCHEMIC HEART DISEASE

Кубанский научный медицинский вестник, 2014
In this paper we have carried out the diagnosis of the damage of the vascular endothelium in patients with ischemic heart disease (IHD) based on the study of gene of endothelial nitric oxide synthase polymorphism, the condition of vasoregulating function
A. Kh. Akhmineeva, O. S. Polunina, L. P. Voronina, I. V. Sevostyanova   +3 more
doaj  

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

BIOCHEMICAL AND GENETIC ASPECTS OF THE CHRONIC OBSTRUCTIVE PULMONARY DISEASE AND ARTERIAL HYPERTENSION COMBINATION

Кубанский научный медицинский вестник, 2014
The content of endothelium-1 and C-type natriuretic peptide in the blood plasma in correlation with the gene polymorphism of endothelial nitric oxide synthase was studied in 35 patients with chronic obstructive pulmonary disease (COPD), 35 patients with ...
O. S. Polunina, I. V. Sevostyanova, A. Kh. Akhmineeva, L. P. Voronina   +3 more
doaj  

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS

Advanced Science, EarlyView.
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun, Miji Kim, Wooyeon Shin, Yongjun Park, Kanghwan Kim, Il‐Joo Cho, Jae Won Shim, Min Soo Kim, Sunwoo Lee, Jeongjin Kim, Changhyuk Lee   +10 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Physical Implementation of Optical Material‐Based Neural Networks Processing Enabled by Long‐Persistent Luminescence

Advanced Science, EarlyView.
This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Buried Unstrained Germanium Channels: A Lattice‐Matched Platform for Quantum Technology

Advanced Science, EarlyView.
ABSTRACT Strained germanium (ε$\varepsilon$‐Ge) and strained silicon (ε$\varepsilon$‐Si) buried quantum wells have enabled advanced spin‐qubit quantum processors. However, in the absence of suitable lattice‐matched substrates, ε$\varepsilon$‐Ge and ε$\varepsilon$‐Si are deposited on defective, metamorphic SiGe buffers, which may impact device ...
Davide Costa, Patrick Del Vecchio, Karina Hudson, Lucas E. A. Stehouwer, Alberto Tosato, Davide Degli Esposti, Vladimir Calvi, Luca Moreschini, Mario Lodari, Stefano Bosco, Giordano Scappucci   +10 more
wiley   +1 more source