Results 141 to 150 of about 81,521 (251)

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Materials‐Guided Gene‐Ionizable Lipid Nanoparticles to Reverse Iron‐Associated Immune Resistance in Renal Cancer

Advanced Science, EarlyView.
ABSTRACT Iron overload is a common metabolic disturbance in cancer and contributes to poor outcomes in renal cell carcinoma (RCC), yet its effects on the tumour immune microenvironment remain unclear. Here we identify a previously unrecognized immunosuppressive axis in which iron overload downregulates the palmitoyltransferase ZDHHC12 in CD8+ T cells ...
Xin Jin, Yulong Hong, Chengliang Yin, Wanyang Guo, Yaxuan Wang, Ruijiang Zeng, Ruilin Liu, Zexian Ding, Xinlin Liu, Shangqing Ren, Qiyang Liang, Yaohui Wang, Xu Zhang, João Conde, Yuan Li, Xin Ma, Liangyou Gu   +16 more
wiley   +1 more source

Retina‐Inspired Bi‐Based Terahertz Photonic Neuromorphic Devices

Advanced Science, EarlyView.
Combined with effective band alignment and substrate engineering, bismuth materials are introduced to form terahertz photonic bio‐inspired devices with picosecond short‐term plasticity to enable multi‐scene visual perception. Thus obtained hardware through the terahertz optical neural network (THz‐ONN) demonstrates high recognition accuracy, providing ...
Pujing Zhang, Donggang Xie, Longyu Shi, Mengyuan Wang, Huiwen Shi, Yu Wu, Menglei Li, Guangwei She, Peijie Wang, Wensheng Shi, Cunlin Zhang, Kuijuan Jin, Guozhen Yang, Qingli Zhou, Chen Ge   +14 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Diversity in Electronic Databases: Hidden Challenges in Research

Journal of Psychiatry Spectrum
R. Shantheri Pai, Saraswathi Tenagi, Vijaykumar Harbishettar   +2 more
doaj   +1 more source

Integrative taxonomy suggests hidden diversity within the fish genus Cyttopsis (Zeiformes, Parazenidae). [PDF]

J Fish Biol
Bañón R, Baldó F, Arronte JC, de Carlos A, Barreiro-Vázquez JD, Comesaña ÁS, Barros-García D.   +6 more
europepmc   +1 more source

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Unveiling the hidden diversity of neotropical <i>Steccherinum</i> and allied genera (<i>Steccherinaceae</i>, <i>Basidiomycota</i>). [PDF]

IMA Fungus
Westphalen MC, Minosso NMM, Regio NDC, Gugliotta AM, Rajchenberg M, da Silveira RMB.   +5 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Scholarly publishing's hidden diversity: How exclusive databases sustain the oligopoly of academic publishers. [PDF]

PLoS One
van Bellen S, Alperin JP, Larivière V.
europepmc   +1 more source