Results 161 to 170 of about 489,851 (292)

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

A novel approach to managing uncertainty in risk assessment using integrated z-numbers and intuitionistic fuzzy sets: A case study on LPG spherical tanks. [PDF]

PLoS One
Aliabadi MM, Ahmadi Moshiran V, Kalatpour O, Ahmadi O.   +3 more
europepmc   +1 more source

Clickable Microgel Inks Enable Spatioselective, Multi‐Stimuli Programmable Assembly of Materials

Advanced Science, EarlyView.
Clickable microgel inks enable direct ink writing of hydrogel architectures with intrinsic spatioselective and programmable multi‐responsiveness. By combining pH‐responsive and temperature‐responsive microgel building blocks through Diels‐Alder interparticle crosslinking, the assemblies exhibit controllable swelling and shape changes.
Junho Moon, Frank Gardea, Madeline A. Morales, Svetlana Sukhishvili   +3 more
wiley   +1 more source

The mosaic memory of large language models. [PDF]

Nat Commun
Shilov I, Meeus M, de Montjoye YA.
europepmc   +1 more source

Genetic Control of Tissue Remodeling by a Non‐Coding SNP in ITGA8 Explains Carotenoid‐Based Color Polymorphism in Marine Mollusks

Advanced Science, EarlyView.
In this study, the orange‐muscle giant abalone (Haliotis gigantea) is used as a model to identify a non‐coding SNP that disrupts the interaction between ITGA8 pre‐mRNA and the splicing factor ILF2, leading to altered ITGA8 splicing. These splicing changes promote carotenoid accumulation in abalone muscle through the regulation of tissue remodeling ...
Xiaohui Wei, Wenzhu Peng, Zekun Huang, Bingye Yang, Yiyu Wu, Minzhen Han, Yi Wang, Bingling Peng, Guosheng Hu, Jiawei Hong, Guijia Liu, Linwei Nie, Yang Gan, Miaoqin Huang, Xuan Luo, Weiwei You, Wen Liu, Caihuan Ke   +17 more
wiley   +1 more source

Gravity‐Tolerant In‐Flight 3D Bioprinting Enabled by Stereolithography for Space Tissue Engineering

Advanced Science, EarlyView.
A flight‐compliant, closed stereolithographic 3D bioprinting system enables robust fabrication of acellular and cell‐laden hydrogel constructs under varying gravitational conditions, including microgravity and hypergravity phases. Printed structures retain dimensional fidelity and high‐resolution features, while cell viability remains high ...
Bianca Lemke, Matthias R. Kollert, Tobias Lam, Tobias Thiele, Nicolas Göbel, Lisa R. Köhn, Gabriela Korus, Lutz Kloke, Georg N. Duda   +8 more
wiley   +1 more source

A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation. [PDF]

PLoS One
Salehi M, Khayami R, Mirmozaffari M.
europepmc   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction. [PDF]

PLoS One
Gheytasi F, Kianifard M, Ghoushchi SJ, Hafez-Ghoran S, Maghami MR, Mohamed M.   +5 more
europepmc   +1 more source