Results 261 to 270 of about 10,990,683 (353)
Electromagnetic Interference Simulation of a Cell Phone in an Aircraft System Using Domain Decomposition Method [PDF]
Juliano Fujioka Mologni+6 more
openalex +1 more source
Cell-phone use diminishes self-awareness of impaired driving
David M. Sanbonmatsu+4 more
semanticscholar +1 more source
Socio‐economic status and the effect of guideline‐directed medical therapy in the STRONG‐HF study
Abstract Aims Acute heart failure (AHF) impacts millions globally, with outcomes varying based on socio‐economic status (SES). Methods SES measured by annual household income, years of education and medical insurance coverage. Each patient's income and education level relative to the median or mean, respectively, in the country was calculated, and ...
Albertino Damasceno+29 more
wiley +1 more source
Cell phone addiction and sleep disturbance among medical students in Jiangsu Province, China: the mediating role of psychological resilience and the moderating role of gender. [PDF]
Hu B, Wu Q, Xie Y, Guo L, Yin D.
europepmc +1 more source
Midwives' Cell Phone Use and Health Knowledge in Rural Communities [PDF]
Seungyoon Lee+2 more
openalex +1 more source
Abstract Aims This study aimed to conduct a phase 2 proof‐of‐concept and safety study to evaluate the effect of ENIBARCIMAB (EN), a non‐neutralizing humanized monoclonal antibody targeting the N‐terminus of adrenomedullin (ADM), administered immediately after stabilization with standard of care (SoC) treatment, in patients hospitalized for acute heart ...
Anggoro Budi Hartopo+19 more
wiley +1 more source
Abstract Aims Ischaemic mitral regurgitation (MR) is a dynamic condition influenced by global and regional left ventricular remodelling as well as mitral valvular deformation. Exercise testing plays a substantial role in assessing the haemodynamic relevance of MR and is recommended by current guidelines.
Maximilian Spieker+14 more
wiley +1 more source
Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm. [PDF]
Hong Y, Rong X, Liu W.
europepmc +1 more source
Abstract Aims There are limited tools to predict long‐term mortality among patients hospitalized with acute heart failure (AHF) in China. This study aimed to develop and validate a model to predict long‐term mortality risk among patients who were hospitalized with AHF and discharged alive.
Wei Wang+8 more
wiley +1 more source