Results 61 to 70 of about 824,945 (337)

Innovations in energy expenditure assessment

open access: yesCurrent Opinion in Clinical Nutrition & Metabolic Care, 2018
Optimal nutritional therapy has been associated with better clinical outcomes and requires providing energy as closed as possible to measured energy expenditure. We reviewed the current innovations in energy expenditure assessment in humans, focusing on indirect calorimetry and other new alternative methods.Although considered the reference method to ...
Achamrah, Najate   +2 more
openaire   +6 more sources

Measuring energy metabolism in the mouse – theoretical, practical and analytical considerations

open access: yesFrontiers in Physiology, 2013
The mouse is one of the most important model organisms for understanding human genetic function and disease. This includes characterisation of the factors that influence energy expenditure and dysregulation of energy balance leading to obesity and its ...
John Roger Speakman, John Roger Speakman
doaj   +1 more source

Improving Energy Expenditure Estimation in Wearables using a Heat Flux Sensor: First Observations [PDF]

open access: yesarXiv, 2020
Wearable electronics are often used for estimating the energy expenditure of the user based on heart rate measurement. While heart rate is a good predictor of calorie consumption at high intensities, it is less precise at low intensity levels, which translates into inaccurate results when estimating daily net energy expenditure.
arxiv  

Utility Fairness for the Differentially Private Federated Learning [PDF]

open access: yesarXiv, 2021
Federated learning (FL) allows predictive model training on the sensed data in a wireless Internet of things (IoT) network evading data collection cost in terms of energy, time, and privacy. In this paper, for a FL setting, we model the learning gain achieved by an IoT device against its participation cost as its utility.
arxiv  

Federated Learning Cost Disparity for IoT Devices [PDF]

open access: yesarXiv, 2022
Federated learning (FL) promotes predictive model training at the Internet of things (IoT) devices by evading data collection cost in terms of energy, time, and privacy. We model the learning gain achieved by an IoT device against its participation cost as its utility.
arxiv  

A review of artificial intelligence in brachytherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen   +4 more
wiley   +1 more source

Cardiovascular Fitness and Energy Expenditure Response during a Combined Aerobic and Circuit Weight Training Protocol. [PDF]

open access: yesPLoS ONE, 2016
The present study describes the oxygen uptake and total energy expenditure (including both aerobic and anaerobic contribution) response during three different circuit weight training (CWT) protocols of equivalent duration composed of free weight ...
Pedro J Benito   +7 more
doaj   +1 more source

The Relationship between Electricity Prices and Household Welfare in South Africa

open access: yesEnergies, 2022
The study examines the relationship between electricity prices and household welfare in South Africa. The study employs a demand system framework on annual time-series data from 2000 to 2018 and the analysis involves the calculation of price elasticities
Bekithemba Qeqe   +2 more
doaj   +1 more source

Equity Implications of Net-Zero Emissions: A Multi-Model Analysis of Energy Expenditures Across Income Classes Under Economy-Wide Deep Decarbonization Policies [PDF]

open access: yes2024, Energy and Climate Change, 5: 100118
With companies, states, and countries targeting net-zero emissions around midcentury, there are questions about how these targets alter household welfare and finances, including distributional effects across income groups. This paper examines the distributional dimensions of technology transitions and net-zero policies with a focus on welfare impacts ...
arxiv   +1 more source

Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola   +5 more
wiley   +1 more source

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