Results 231 to 240 of about 486,719 (307)
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
Understanding Synovial Chondromatosis: A Rare Cause of Shoulder Impingement. [PDF]
Kumar A, Nataraj AR, Purushotham L.
europepmc +1 more source
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
From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle +3 more
wiley +1 more source
Traumatic Rare Volar Distal Radioulnar Joint (DRUJ) Dislocation in a Geriatric Female Patient: A Case Report. [PDF]
Barth F, Waldner M, Häfeli M.
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
Effects of muscle-tendon mechanical properties and electromyographic activity patterns on individual differences in force-power relationship. [PDF]
Kosaka T, Kubo K.
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
Simplifying rehabilitation control of lower-limb exoskeletons in five ambulation modes via dataset-driven state-machine calibration. [PDF]
Lhoste C +11 more
europepmc +1 more source

