Results 321 to 330 of about 1,232,044 (390)
Association Between the Social Vulnerability Index and Adverse Pregnancy Outcomes. [PDF]
Kawakita T+4 more
europepmc +1 more source
This study compares the electrochemical performance of high‐entropy alloys (HEA) and oxides (HEO) as supercapacitor electrodes. HEO demonstrates superior energy and power density due to its capacitive behavior and surface redox reactions, while HEA relies on diffusion‐controlled processes.
Öyküm Başgöz+3 more
wiley +1 more source
Correlation Between Technology and Improved Outcomes in Youth With Type 1 Diabetes Mellitus: Prospective Study Examining Outcomes for Patients With Depression and Those With Public Insurance. [PDF]
Emerson ND+8 more
europepmc +1 more source
The ΔRMSF$\Delta {\rm RMSF}$ analysis reveals significant flexibility differences between free NS3 and the NS2B/NS3 complex, with notable deviations in specific regions. Key residues driving NS2B binding are identified, and the protonation state of catalytic serine affects oxyanion hole formation.
Jurica Novak+2 more
wiley +1 more source
Disparities in cigarette smoking and the health of marginalized populations in the U.S.: a simulation analysis. [PDF]
Levy DE+9 more
europepmc +1 more source
Increasing half‐cycles intensifies turbulence due to enhanced vortex interactions and flow separation at the diverged‐outlets. Longer wavy ducts are shown to increase flow acceleration, resulting in greater output velocities and more turbulent‐kinetic‐energy production. Wave‐period plays a crucial role in determining turbulent intensity, with amplitude
I. L. Animasaun+2 more
wiley +1 more source
The Association Between Social Determinants of Health (SDoH) and Mental Health Status in the US. [PDF]
Faruque F, Shah GH, Bohler RM.
europepmc +1 more source
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley +1 more source