Results 81 to 90 of about 57,287 (257)

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

Food Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

Accuracy of Aneroid Versus Digital Sphygmomanometer in Community-Based Screening for Hypertension in Hubballi, Karnataka, India - A Cross-Sectional Study

National Journal of Community Medicine
Background: Hypertension is a significant global health issue, responsible for approximately 7.5 million deaths annually. Even a modest increase of 5 mm Hg in systolic blood pressure (BP) can elevate the risk of fatal stroke and infarction by about 25%.
Mahesh D Kurugodiyavar, Roopakala N, Kashavva B Andanigoudar   +2 more
doaj   +1 more source

Neural Networks for Muscle Forces Prediction in Cycling

Algorithms, 2014
This paper documents the research towards the development of a system based on Artificial Neural Networks to predict muscle force patterns of an athlete during cycling.
Giulio Cecchini, Gabriele Maria Lozito, Maurizio Schmid, Silvia Conforto, Francesco Riganti Fulginei, Daniele Bibbo   +5 more
doaj   +1 more source

Comparison of Gaia and asteroseismic distances

, 2017
Asteroseismology provides fundamental properties (mass, radius and effective temperature) of solar-like oscillating stars using so-called scaling relations. These properties allow the computation of the asteroseismic distance of stars.
Orhan, Z. Çelik, Roth, M., Yıldız, M., Örtel, S.   +3 more
core   +1 more source

An investigation of the relationship between thermal imaging and digital thermometer [PDF]

, 2015
BACKGROUND: A number of research papers and theoretical clinical models summarising how temperature of the skin over the knee may be altered according to different pathological processes have been published. Thermal imaging (TI) is generally regarded as
American Society for Testing and Material (ASTM), Ammer, Bland, Coughlan, Denoble, Dye, Gold, Lavery, Menard, Naslund, Ring, Ring, Sanchis-Alfonso, Sandow, Selfe, Selfe, Selfe, Selfe, Selfe, Selfe, Tootill   +20 more
core   +1 more source

Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging

iRADIOLOGY, EarlyView.
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun, Yikun Wang, Yan Li, Xumei Hu, Wenyue Mao, Mengting Sun, Zian Wang, Fuhua Yan, Ruokun Li, Chengyan Wang   +9 more
wiley   +1 more source

Predictive Value of Modified Lung Ultrasound Score for Late Respiratory Diseases in Premature Infants: A Retrospective Cohort Analysis

Journal of Clinical Ultrasound, EarlyView.
This study is to assess the predictive value of the modified lung ultrasound score (mLUS) for late respiratory diseases in premature infants born before 32 weeks of gestation. It is recommended that the use of mLUS scoring be promoted in clinical practice for the early screening of high‐risk preterm infants.
Shuang Zheng, Yang Zhang, Yanan Gao, Huifen Chen, Sudan Liu   +4 more
wiley   +1 more source

Inter-observer variability for cardiac ultrasound measurements in cats repeated at different time points in early adult life [PDF]

, 2018
A high degree of accuracy is required when using echocardiography to diagnose hypertrophic cardiomyopathy (HCM) in cats, as variation in measurements of 0.5 mm may affect classification of individuals as ‘abnormal’.
Barberet, Chetboul, Gundler, Hansson, Payne, Simpson, Wagner, Wolf   +7 more
core   +2 more sources

Predicting 7‐year‐olds mental health in the perinatal period: Development and internal validation of a multivariable model using the prospective ALSPAC cohort

JCPP Advances, EarlyView.
Abstract Background Mental health difficulties in childhood are increasing. Prevention is the only sustainable and ethical public health approach. However, predicting which children are most at‐risk of mental health difficulties prior to symptoms emerging remains elusive.
Emma Butler, Michelle Spirtos, Linda M. O’Keeffe, Mary Clarke   +3 more
wiley   +1 more source

Validation of spatial microsimulation models: a proposal to adopt the Bland-Altman method [PDF]

Model validation is recognised as crucial to microsimulation modelling. However, modellers encounter difficulty in choosing the most meaningful methods to compare simulated and actual values. The aim of this paper is to introduce and demonstrate a method
Edwards, Kimberley L., Timmins, Kate A.
core