The COVID-19 pandemic changed telehealth from a rare service to one that is widely available, including from patients’ usual providers. 1, 2 Before the pandemic, certain populations, including Black ...
Abstract: Recent literature suggests that the surface electromyography (sEMG) signals have nonstationary statistical characteristics, specifically due to the random nature of the covariance. Thus, the ...
aUniversity of California Berkeley–University of California San Francisco Joint Medical Program, Berkeley, CA, USA bSchool of Public Health, University of California Berkeley, Berkeley, CA, USA ...
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
Anthony Battle is a CERTIFIED FINANCIAL PLANNER™ professional. He earned the Chartered Financial Consultant® designation for advanced financial planning, the Chartered Life Underwriter® designation ...
James Chen, CMT is an expert trader, investment adviser, and global market strategist. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...
A laser is usually constructed from two basic elements: a material that provides optical gain through stimulated emission and an optical cavity that partially traps the light. When the total gain in ...
Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
Association of socioeconomic and clinical variables with the state of frailty among older inpatients
Objectives: to identify the prevalence of frailty among inpatient older adults in a clinical hospital and check the association of the socioeconomic and clinical characteristics with the state of ...
This chapter contains sections titled: The Gaussian Random Variable The Bivariate Distribution The Multivariate Distribution The Gaussian Random Process ...
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