Results 211 to 220 of about 139,695 (308)

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

FEDRANN: effective long-read overlap detection based on dimensionality reduction and approximate nearest neighbors. [PDF]

Gigascience
Zhang JY, Miao C, Qiu T, He J, Cao W, Lin W, Xia X, He L, Yang C, Sun Y, Zeng T, Li Y, Xu X, Ruan Y, Dong Y.   +14 more
europepmc   +1 more source

Geometric Dimensionality Reduction

The emergence of AI models developed through computationally intensive training has resulted in a surge of research into dimensionality reduction techniques that spans across numerous mathematical disciplines.
Livschitz, Daniel
core  

Low‐Cost, Large‐Scale Nanoporous Metals by Mechanical Alloying, Oxide Reduction, and Dealloying of Powders

Advanced Engineering Materials, EarlyView.
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley   +1 more source

Multi-centered reassessment of CRS-R in disorders of consciousness: a dimensionality reduction study from cognition and motor function. [PDF]

Front Neurol
He Q, Shang Y, Dong Y, Cao T, Chai X, Zhao Y, Yang Y, Song M.   +7 more
europepmc   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

Advanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham, Chenyu Wen, Mohammad Hadi Khaksaran, Won‐Yong Lee, Javier Cruz, Klas Hjort, Dongping Wu, Shi‐Li Zhang   +7 more
wiley   +1 more source

Bevacizumab and Paclitaxel in Advanced, Hormone Receptor-Positive Breast Cancer: Multifactor Dimensionality Reduction Methodology to Identify Best Overall Survival. [PDF]

Oncol Res
Coltelli L, Orlandi P, Finale C, Musettini G, Masini LC, Scalese M, Soria G, Sartori E, Nodari Y, Arrighi G, Bandini A, Banchi M, Tacchi C, Tang D, Salvadori B, Tanganelli L, Giovannelli S, Pistelli M, Cupini S, Lucchesi M, Cosimi A, Lorenzini G, Biasco E, Caparello C, Acconci G, Fontana E, Bona E, Farnesi A, Pellino A, Marini A, De Maio E, Stasi I, Barbara C, Sammarco E, Rosada J, Allegrini G, Bocci G.   +36 more
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

Model-based dimensionality reduction for single-cell RNA-seq using generalized bilinear models. [PDF]

Biostatistics
Nicol PB, Miller JW.
europepmc   +1 more source

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