Results 171 to 180 of about 81,521 (251)

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Hidden diversity behind the Lecanicillium-like white colony-forming mycoparasites on <i>Hemileia vastatrix</i> (coffee leaf rust). [PDF]

Persoonia
Colmán AA, Araújo JPM, Evans HC, Correa Mansur PS, Salcedo-Sarmiento S, Silva AL, Kapeua-Ndacnou M, Belachew-Bekele BK, Pereira CM, Crous PW, Barreto RW.   +10 more
europepmc   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Raccoons Reveal Hidden Diversity in Trabecular Bone Development. [PDF]

Integr Org Biol
Reinecke T, Angielczyk KD.
europepmc   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Unveiling the hidden diversity: the second species of <i>Wenchengia</i> (Lamiaceae) discovered from a dry mountaintop meadow of Hainan Island, China. [PDF]

PhytoKeys
Xu SC, Xiao JF, Xiang CL, Li B.
europepmc   +1 more source

The E3 Ubiquitin Ligase RLIM Safeguards Oligodendrocyte Development and Myelination by Targeting SLC7A11 for Polyubiquitination to Regulate Ferroptotic Resistance

Advanced Science, EarlyView.
RLIM‐mediated SLC7A11 polyubiquitination is required for SPTBN2‐mediated trafficking and membrane localization of SLC7A11, which enables oligodendrocyte precursor cells to be resistant to ferroptosis and safeguards oligodendrocyte lineage progression and thus myelination.
Yuwei Li, Haijun Zhang, Jieya Zhou, Shiyu Yang, Jingmei Cha, Gaofeng Yan, Shuhua Zhao, Bingyu Mao, Pengcheng Ma   +8 more
wiley   +1 more source

Shedding Light on the Shadows: Hidden Diversity in the Italian Embioptera. [PDF]

Insects
Cianferoni F, Ceccolini F.
europepmc   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Hidden diversity in anthropophilic sand flies of the Monticola Series (Diptera, Psychodidae). [PDF]

Sci Rep
Rodrigues BL, de Oliveira AG, da Silva LEH, Vasconcelos Dos Santos T, de Oliveira LNC, Rêgo FD, de Andrade AJ, Maia GB, de Souza Pinto I, Andrade Filho JD, Galati EAB.   +10 more
europepmc   +1 more source