Results 81 to 90 of about 132,971 (312)

How do medical professionals justify their involvement with live tissue training?

BMC Medical Ethics
Background “Live tissue training” (LTT) is simulation that uses a live anaesthetised animal in place of a human patient. It is a training practice which is significantly contested, but continues to occur despite availability of alternative simulator ...
C. S. Swain, G. Helgesson
doaj   +1 more source

In Vitro Glioblastoma Model on a Plate for Localized Drug Release Study from a 3D-Printed Drug-Eluted Hydrogel Mesh

Cells
Glioblastoma multiforme (GBM) is an aggressive type of brain tumor that has limited treatment options. Current standard therapies, including surgery followed by radiotherapy and chemotherapy, are not very effective due to the rapid progression and ...
Behnad Chehri, Kaiwen Liu, Golnaz Vaseghi, Amir Seyfoori, Mohsen Akbari   +4 more
doaj   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

[O─I─O]+ Halogen‐Bonded Complexes of Pyridine N‐Oxides

Angewandte Chemie, EarlyView.
The missing puzzle of 3‐center‐4‐electron halogen‐bonded complexes viz. [O─I─O]+ of pyridine N‐oxides are structurally characterized by x‐ray diffraction. Monodentate N‐oxide O‐atom acts as the halogen bond acceptor. Their solution complexations are characterized by 15N NMR spectroscopy.
Rakesh Puttreddy, Sergi Burguera, Antonio Frontera, Kari Rissanen   +3 more
wiley   +2 more sources

Experiences of JCU MBBS graduates in remote northern Australian towns: preliminary findings [PDF]

, 2015
Over 65% of all James Cook University (JCU) medical graduates practise outside of major cities (compared to 20% of all Australian clinicians), including 5% who choose to practice in remote northern Australian towns such as Mount Isa, Darwin, and Palm and
Whaleboat, Donald, Woolley, Torres, Rasalam, Roy   +2 more
core  

Fracture characteristics of SMA mixtures with hydrated lime through the semi-circular bending approach [PDF]

Stone Mastic Asphalt (SMA) is a composite mixture made up of high-quality crushed stone, fine aggregates, an asphalt binder, and a significant percentage of mineral filler in contrast to conventional mixtures.
Gómez-Osorio, Fabio A., Airey, Gordon, Sanjuan-Benavides, Anyely, Carvajal-Muñoz, Juan S., Perez-Miranda, María A.   +4 more
core   +2 more sources

Techno-Economic Study on the Application of Reverse Osmosis Technology in the Process of Boiler Feed Water Demineralization PT Puncak Jaya Power 3x65 MW [PDF]

E3S Web of Conferences
The quality of boiler feed water in a Coal Power Plant generation (PLTU) needs to be considered to avoid corrosion and deposits (scale) on process equipment. Decreased water quality causes several disturbances as such disruption of power plant operations
Lolo Bunga Lime, Widayat, Saptadi Singgih   +2 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source