Results 121 to 130 of about 61,171 (254)
Interarm Difference in Systolic Blood Pressure in Different Ethnic Groups and Relationship to the "White Coat Effect": A Cross-Sectional Study. [PDF]
Schwartz CL +13 more
europepmc +1 more source
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 more
wiley +1 more source
Uncontrolled hypertension in older patients: markers and associated factors to masked and white-coat effect. [PDF]
Lima NK, Moriguti JC, Ferriolli E.
europepmc +1 more source
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 +6 more
wiley +1 more source
Interaction between white coat effect and hypertension on arterial stiffness. [PDF]
Jin L +9 more
europepmc +1 more source
White-Coat Effect Among Older Adults: Data From the Jackson Heart Study. [PDF]
Tanner RM +6 more
europepmc +1 more source
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé +9 more
wiley +1 more source
The White Coat Effect Influences Intraocular Pressure Measurements in Dogs: Comparing Tonometry Values Obtained in the Clinic Versus Home. [PDF]
Barrow RP +4 more
europepmc +1 more source
Blood Pressure Variability Provides Useful and Prognostic Information on the White-Coat Effect Among Older Patients. [PDF]
Ozturk 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

