Results 51 to 60 of about 32,031 (301)
Influence of different kind of clothing material on selected cardiovascular, respiratory and psychomotor parameters during moderate physical exercise [PDF]
, 2009 Objectives: The aim of the experiment was to analyze the influence that the clothing material may have on human physiology and thermal comfort both at rest and physical effort to answer the question which fabric is better, a natural or a synthetic one ...
Ciesielska-Wrobel, Izabela +2 more
core +2 more sources
Advanced Engineering Materials, EarlyView.This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
wiley +1 more source
Design of a 4.2-5.4 GHz differential LC VCO using 0.35 mu m SiGeBiCMOS technology for IEEE 802.11a applications [PDF]
, 2007 In this paper, a 4.2-5.4 GHz, -Gm LC voltage controlled oscillator (VCO) for IEEE 802.11a standard is presented. The circuit is designed with AMS 0.35 mu m SiGe BiCMOS process that includes high-speed SiGe Heterojunction Bipolar Transistors (HBTs ...
Bozkurt, Ayhan +3 more
core +1 more source
Advanced Functional Materials, EarlyView.The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon +7 more
wiley +1 more source
Screening for minimal hepatic encephalopathy among asymptomatic drivers with chronic liver disease
The Egyptian Journal of Internal Medicine, 2018 Background and aims Minimal hepatic encephalopathy (MHE) may impair driving performance and adversely disturbs quality of life. Most drivers with chronic liver disease are not routinely screened for MHE and stay untreated due to the deficiency of ...
Mohammad Eltaher Abdelrahman +4 more
doaj +1 more source
Renal Failure, 2021 Background Uremic encephalopathy is defined as cerebral dysfunction due to toxin accumulation in patients with chronic kidney disease (CKD). This condition is characterized by subtle to florid symptoms, and its clinical course is always progressive when ...
Fabiola Sanchez-Meza +4 more
doaj +1 more source
The Omega Counter, a Frequency Counter Based on the Linear Regression
, 2015 This article introduces the {\Omega} counter, a frequency counter -- or a frequency-to-digital converter, in a different jargon -- based on the Linear Regression (LR) algorithm on time stamps. We discuss the noise of the electronics.
Bourgeois, P. -Y. +3 more
core +3 more sources
Emergence of Light‐Transforming Layered Hybrid Halide Perovskites
Advanced Functional Materials, EarlyView.The emerging class of light‐transforming layered halide perovskite materials is reviewed, outlining challenges for their development and perspectives toward application in the future. Abstract Layered hybrid halide perovskites (LHPs) have attracted considerable attention in optoelectronics.
Ghewa AlSabeh, Jovana V. Milić
wiley +1 more source
Two Visual Training Paradigms Associated with Enhanced Critical Flicker Fusion Threshold
Frontiers in Psychology, 2016 Critical flicker fusion thresholds (CFFT) describe when quick amplitude modulations of a light source become undetectable as the frequency of the modulation increases and are thought to underlie a number of visual processing skills, including reading ...
Tianyou Zhou +4 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source