Results 101 to 110 of about 1,718,946 (252)

TRPML1 agonist ML‐SA5 attenuates pulmonary fibroblast activation by suppressing mTOR and restoring autophagic flux

FEBS Open Bio, EarlyView.
TGF‐β1 stimulation downregulates lysosomal channel TRPML1 in pulmonary fibroblasts. The TRPML1 agonist ML‐SA5 suppressed fibroblast‐to‐myofibroblast activation and collagen production. Mechanistically, ML‐SA5 inhibited mTOR phosphorylation, restored autophagic flux, and its effects were enhanced by rapamycin (mTOR inhibitor) and reversed by MHY1485 ...
Jiatong Yao, Xiaoting Kang, Lulu Meng, Shaoxuan Zhang, Qiujie Li, Jinyu Zhou, Mengyue Xue, Chu Li, Hua Zhu, Pengzhou Hang, Jing Zhao   +10 more
wiley   +1 more source

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

Molecular Mapping of Putative Genomic Regions Controlling Fruit and Seed Morphology of Watermelon. [PDF]

Int J Mol Sci, 2023
Yang T, Amanullah S, Li S, Cheng R, Zhang C, Zhao Z, Liu H, Luan F, Wang X.   +8 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Water content and GA(3)-induced embryonic cell expansion explain Euterpe edulis seed germination, rather than seed reserve mobilisation

, 2014
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Processo FAPESP: 06/02820-1Processo FAPESP: 08/00125-0Euterpe Mulls is a key ecological species in the Atlantic forest ...
Coan, A. I., Roberto, G. G., Habermann, Gustavo   +2 more
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Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Fruit and seed morphometry and seed structure of the potentially invasive Calotropis procera (Aiton) W.T. Aiton (Apocynaceae)

Botan‪ical Sciences
Background: Calotropis procera is a plant native in the tropics and subtropics of Asia and Africa. In Mexico, its presence is now registered in Yucatán, Quintana Roo and Oaxaca.
Emiliano Navarrete-Sauza, Mariana Rojas-Aréchiga, Mónica Karina Pérez-Pacheco, Judith Márquez-Guzmán   +3 more
doaj   +1 more source

Seed morphology and germination of Willd. ex Schult. emulating environmental conditions within ant nest. [PDF]

PLoS One, 2023
Puga-Guzmán PS, Magallán-Hernández F, Queijeiro-Bolaños M, Valencia-Hernández JA, Vergara-Pineda S.   +4 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

SEED MORPHOLOGY OF SOME TAXA OF ASTERACEAE [PDF]

, 2001
Seed morphology of 136 species distributed in 68 genera have been described. Of these, seed morphology of 51 genera are described for the first time.
Omonhinmin, Conrad A., Idu, M.
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