Results 191 to 200 of about 4,153,024 (248)

Human Gallbladder Cancer Organoids. [PDF]

Cell Prolif
Xiang D, Gong T, Zhu Y, Jia B, Zhang C, Tang N, Wang W, Wang Y, Zhong L, Zou Y, Zhang J, Zhou Z, Xing L, Zhou C, Zhu D, Liu Z, Chen G, Wang X, Wang Z, He A, Wang Y, Liu Z, Wang J, Xu F, Gao G, Kang X, Gong S, Kong X, Dong C, Ma A, Niu G, Wei G, Zhao H, Lu X, Cao J, Zhao T, Zhang Z, Liu Y.   +37 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

BCG after trimodality therapy: managing non-muscle-invasive recurrence in the irradiated bladder. [PDF]

Front Oncol
Fazaa N, Eigner E, Atallah M, Shafran Y, Amiel G, Hoffman A.   +5 more
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Building data science capacity in the public health workforce: a Public Health Data Science Life Cycle framework. [PDF]

Front Public Health
Burke EM, Fox JA, Gusman S, Tager K, Wurtz R, Shah GH, Lichtveld MY.   +6 more
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Uncertainty on trial: the Fauci diary disclosure and the protection of scientific deliberation. [PDF]

Eur J Public Health
Correia T, McKee M, Pagel C, Yamey G.
europepmc   +1 more source

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

Robot-assisted urologic surgery after kidney transplantation: indications, graft-protection strategies, and outcomes-a scoping review. [PDF]

J Robot Surg
Drobot RB, Chełchowski J, Stępień A, Sorek P, Sulewski M, Mokrzyś M, Brzoszczyk BT, Jarzemski MP, Jobczyk MW, Przudzik MW.   +9 more
europepmc   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source