Results 131 to 140 of about 2,162,860 (205)

Assessing the carcinogenic and non-carcinogenic health risks associated with potentially toxic elements (PTEs) in vegetables from Gombe Markets, Northern Nigeria. [PDF]

Environ Anal Health Toxicol
Sulaiman MB, Umar AM, Rafi AB, Adamu IM, Fadawa AT, Umar TI, Bello AM.   +6 more
europepmc   +1 more source

The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming. [PDF]

Sensors (Basel), 2022
Wang S, Wang S, Jiang H, Qiao Y, Jiang S, Lin H, Sun Q.   +6 more
europepmc   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

Arthritis Care &Research, EarlyView.
Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram, Heřman Mann, Danielle Hammond, Onima Chowdhury, Sinisa Savic, Yohei Kirino, Carmelo Gurnari, Maël Heiblig, Thibault Comont, Arsène Mekinian, Mrinal M. Patnaik, Lachelle D. Weeks, Gary Ho, Adam Al‐Hakim, Scott Goldberg, Marcela A. Ferrada, Sophie Georgin‐Lavialle, Peter C. Grayson, Emma M. Groarke, Bhavisha Patel, Megan Sullivan, Sarah A. Buckley, Bryan G. Harder, Raman Garcha, David B. Beck, Matthew J. Koster   +25 more
wiley   +1 more source

Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle. [PDF]

Sci Rep
Paulraj T, Obulesu YP.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Simulation and verification of a hybrid ferry propulsion system for maritime operation in Saudi Arabia. [PDF]

Sci Rep
Banawi HA, Bahabri MO, Hariri FA, Ajour MN.   +3 more
europepmc   +1 more source

Tools, techniques, datasets and application areas for object detection in an image: a review. [PDF]

Multimed Tools Appl, 2022
Kaur J, Singh W.
europepmc   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

Evaluating the role of behavior and social class in electric vehicle adoption and charging demands. [PDF]

iScience, 2021
Lee R, Brown S.
europepmc   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

Advanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz, Jannik Krohn, Alexander Leichner, Dilip Chalissery, Heiko Andrae, Chris Eberl   +5 more
wiley   +1 more source