Results 41 to 50 of about 9,169,216 (420)
Physics Informed Neural Network for Health Monitoring of an Air Preheater
Air Preheater (APH) is a regenerative heat exchanger employed in thermal power plants to save fuel by improving their thermal efficiency. Monitoring the health of APH vis-a-vis its fouling is critical because fouling often results in forced outages of ...
Vishal Jadhav+3 more
semanticscholar +1 more source
Abstract This study uses longitudinal data from the UK Millennium Cohort Study (N = 13,277) to examine the childhood and early adolescence factors that predict weapon involvement in middle adolescence, which in this study is exemplified by having carried or used a weapon.
Aase Villadsen, Emla Fitzsimons
wiley +1 more source
The study aimed to investigate the effectiveness of blended learning based on the learning management system "Blackboard" in immediate and delayed achievement and retention in a physics course among Health Colleges students at KSU.
Walid A. Sawaftah, Abdulmajeed Aljeraiwi
doaj +1 more source
Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann+2 more
wiley +1 more source
Physics Attitude in Pre-Health Professions Students Upon Connecting Physics to the Medical Field [PDF]
Collegiate physics professors have long been familiar with the issue of students’ attitudes towards the subject material. This is especially prevalent in pre-health professional students - non-majors - who are often required to take the introductory ...
Grace, Emily+2 more
core +1 more source
Quantifying language changes surrounding mental health on Twitter [PDF]
Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to services. Here, we explore trends in words and phrases related to mental health through a collection of 1- , 2-, and 3-grams parsed from a data stream of roughly 10% of all English tweets since ...
arxiv
Similarity based hierarchical clustering of physiological parameters for the identification of health states - a feasibility study [PDF]
This paper introduces a new unsupervised method for the clustering of physiological data into health states based on their similarity. We propose an iterative hierarchical clustering approach that combines health states according to a similarity constraint to new arbitrary health states.
arxiv +1 more source
Factors modulating 99mTc‐MAA planar lung dosimetry for 90Y radioembolization
Abstract Purpose To investigate the accuracy and biases of predicted lung shunt fraction (LSF) and lung dose (LD) calculations via 99mTc‐macro‐aggregated albumin (99mTc‐MAA) planar imaging for treatment planning of 90Y‐microsphere radioembolization.
Benjamin P. Lopez+4 more
wiley +1 more source
Remaining useful life (RUL) estimation is one of the main objectives of prognostics and health management (PHM) frameworks. For the past decade, researchers have explored the application of deep learning (DL) regression algorithms to predict the system’s
Sergio Cofre-Martel+2 more
doaj +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan+8 more
wiley +1 more source