Results 211 to 220 of about 109,985 (355)

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Effects of Changes in Exercise Intensity on Resting Metabolic Rate (RMR) and Energy Expenditure in Young Men

, 2005
Yi-Sub Kawk, Young-Wan Jin, Chan Ho Park
openalex   +2 more sources

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Comparison of Resting Energy Expenditure Prediction Equations and Indirect Calorimetry Among Adults with Severe Obesity. [PDF]

Curr Dev Nutr
Rather SW, Lawson PS, Larsen JD, Braathen DL, Mabey JG, LeCheminant JD, Adams TD, Hunt SC, Davidson LE.   +8 more
europepmc   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 more
wiley   +1 more source

Resting energy expenditure in adults with nonalcoholic fatty liver disease and type 2 diabetes mellitus: comparison between measured and predicted values. [PDF]

BMC Gastroenterol
Mansour A, Ebrahimi Mousavi S, Hemmati A, Hekmatdoost A, Qorbani M, Gerami H, Mirahmad M, Mohajeri-Tehrani MR, Baradaran F, Mirlohi SH, Sajjadi-Jazi SM.   +10 more
europepmc   +1 more source

Prediction of resting energy expenditure in Italian older adults with severe obesity. [PDF]

Front Endocrinol (Lausanne), 2023
Danielewicz AL, Lazzer S, Marra A, Abbruzzese L, D'Alleva M, Martino M, Isola M, Avelar NCP, Mendonça VA, Lacerda ACR, Sartorio A.   +10 more
europepmc   +1 more source

Resting Energy Expenditure and the Effects of Muscle Wasting in Patients With Chronic Heart Failure: Results From the Studies Investigating Comorbidities Aggravating Heart Failure (SICA-HF)

, 2013
Matthias Tacke, Nicole Ebner, Michael Boschmann, Annett Jarius, Miroslava Valentová, Susann Fülster, Anja Sandek, Lutz Schomburg, Stefan D. Anker, Wolfram Doehner, Stephan von Haehling   +10 more
openalex   +2 more sources

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Correction: Estimating resting energy expenditure in critically ill patients: a retrospective exploratory comparison of predictive equations and Fick-derived Weir estimates in Italy. [PDF]

Acute Crit Care
Romanelli A, Calicchio A, Palmese S, Pascarella S, Pisapia B, Gammaldi R.   +5 more
europepmc   +1 more source