Results 171 to 180 of about 5,020,863 (306)

Catholic Women's Network, July / August, 1995

, 1995
Digitized version of a newspaper published by the Catholic Women's Network (CWN), a non-profit educational organization for women's spirituality and personal growth.
Catholic Women's Network (Sunnyvale, Calif);
core  

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

Sub-Neuronal Network Profiling of Extracellular Vesicle Release Using a Compartmentalized Neurofluidic Platform. [PDF]

Adv Biol (Weinh)
Malkoc Z, Stopps E, Asamoah PMK, McCalla SE, Kunze A.   +4 more
europepmc   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Multi-organoid loop cerebral connectoids exhibit enhanced neuronal network dynamics and sequence-specific entrainment. [PDF]

Commun Biol
Duenki T, Ikeuchi Y.
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

Regulation of Synaptic Plasticity and Adaptive Convergence Under Rhythmic Stimulation of an In Vitro Hippocampal Neuronal Network of Cultured Cells. [PDF]

Biosensors (Basel)
Sun S, Jiang L, Liu Y, Shang L, Lu C, Li S, Zhang K, Wang M, Cai X, Luo J.   +9 more
europepmc   +1 more source

Catholic Women's Network, September / October, 1989

, 1989
Digitized version of a newspaper published by the Catholic Women's Network (CWN), a non-profit educational organization for women's spirituality and personal growth.
Catholic Women's Network (Sunnyvale, Calif);
core  

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

Preoptic kisspeptin-nNOS-GnRH (KiNG) neuronal network regulates LH rhythmicity through activation-inhibition in mice. [PDF]

Nat Commun
Delli V, Moulinier M, Lazaridou AM, Seux CA, Nair S, Lhomme T, Dehame J, Fernandois D, Rasika S, Lemoine D, Carleton A, Chachlaki K.   +11 more
europepmc   +1 more source