Results 191 to 200 of about 223,857 (311)
A cortico-subthalamic circuit rapidly engages and releases inhibition of specific movements depending on the environmental context. [PDF]
Soh C +7 more
europepmc +1 more source
Nondestructive Testing of Welded Composite Metal Foams
X‐ray computed tomography (CT) is used to evaluate welded steel–steel composite metal foam (CMF) joints of two density classes. It reports variation in postweld spatial void distribution and correlates it to weld‐induced changes, mechanical performance, and failure within welded CMF panels.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Comparing the performance of narrow vs. broad search strategies when using machine learning-based software for title/abstract screening. [PDF]
Swab M.
europepmc +1 more source
On time-inconsistent stopping problems and mixed strategy stopping times
A game-theoretic framework for time-inconsistent stopping problems where the time-inconsistency is due to the consideration of a non-linear function of an expected reward is developed.
Christensen, Sören +1 more
core
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge +8 more
wiley +1 more source
Open randomised withdrawal study of long-term azithromycin in paediatric non-cystic fibrosis bronchiectasis. [PDF]
Dubus JC +8 more
europepmc +1 more source
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele +2 more
wiley +1 more source
Duration of early empirical antibiotic exposure in very low birth weight infants with suspected early-onset sepsis and associated factors: a retrospective cohort study. [PDF]
Morales-Bentacourt C +7 more
europepmc +1 more source
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 +4 more
wiley +1 more source

