Results 181 to 190 of about 6,500,691 (338)

CAR-T Cells: Current Status, Challenges, and Future Prospects. [PDF]

MedComm (2020)
Adly AS, Cartron G, Adly AS, Egea JC, Dutilleul PC, Adly MS, Villalba M.   +6 more
europepmc   +1 more source

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

Advanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi, Pasquale Guglielmi, Gianfranco Palumbo, Giuseppe Carbone   +3 more
wiley   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Progress in Machine Learning-Assisted Biosensors for Alzheimer's Disease. [PDF]

Biosensors (Basel)
Feng Y, Chen C.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Enhancing industrial acoustic environments through a mathematical model and 3D COMSOL acoustic simulation. [PDF]

Sci Rep
Eladly AM, Rashwan N, Aly MH, Salama WM.
europepmc   +1 more source

Peer Review #2 of "A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat (v0.3)"

, 2022
Martijn Witjes, Leandro Parente, Chris Van Diemen, Tomislav Hengl, Martin Landa, Lukáš Brodský, Lena Halounová, Josip Križan, Luka Antonić, Codrina Ilie, Vasile Crǎciunescu, Milan Kilibarda, Ognjen Antonijević, Luka Glušica, Lena Halounov, Luka Antoni, Ognjen Antonijevi, Luka Glu Šica, Luka Glu ica, F Batista E Silva, C Lavalle, E Koomen, L Breiman, M Buchhorn, M Lesiv, N.-E Tsendbazar, M Herold, L Bertels, B Smets, J Buus-Hinkler, B Hansen, M Tamstorf, S Pedersen, A Buyantuyev, J Wu, M Caldern-Loor, M Hadjikakou, B Bryan, G Castilla, K Larkin, J Linke, G Hay, G Ceccherini, G Duveiller, G Grassi, G Lemoine, V Avitabile, R Pilli, A Cescatti, J Chen, J Chen, A Liao, X Cao, L Chen, X Chen, C He, G Han, S Peng, M Lu, T Chen, C Guestrin, T Conway, R Andrimont, A Verhegghen, M Meroni, G Lemoine, P Strobl, B Eiselt, M Yordanov, L Martinez-Sanchez, M Van Der Velde, R Andrimont, M Yordanov, L Martinez-Sanchez, B Eiselt, A Palmieri, P Dominici, J Gallego, H Reuter, C Joebges, G Lemoine, A Defazio, F Bach, S Lacoste-Julien, G Duveiller, L Caporaso, R Abad-Vias, L Perugini, G Grassi, A Arneth, A Cescatti, M Feng, Y Bai, J Foley, R Defries, G Asner, C Barford, G Bonan, S Carpenter, F Chapin   +99 more
openalex   +2 more sources

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Interpretable Machine Learning for LPR Risk Estimation: A Single-Center Retrospective Case-Control Study. [PDF]

JGH Open
Long C, Li Y, Zhang X, Li J, Hao X, Hua H.   +5 more
europepmc   +1 more source

Machine Cinematography [PDF]

, 2012
Schmidgen, Henning
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