Results 161 to 170 of about 116,552 (326)

DETERMINANT OF ADJACENCY MATRIX OF SQUARE CYCLE GRAPH [PDF]

, 2014
N. Adsawatithisakul, Decha Samana
openalex   +1 more source

Perfusable Brain Microvascular Network‐On‐Chip Model to Study Flavivirus NS1‐Induced Endothelial Dysfunction

Advanced Functional Materials, EarlyView.
This study presents a microfluidic brain microvascular network‐on‐chip (BMVasChip) to investigate endothelial barrier dysfunction caused by flavivirus non‐structural protein 1 (NS1), including virus‐ and time‐dependent vascular damage, leakiness, and dysfunction.
Monika Rajput, Yen‐Ting Tung, Yu‐Chi Chen, Min Jae Song, Marc Ferrer, Emily M. Lee   +5 more
wiley   +1 more source

Adjacency Matrix Deep Learning Prediction Model for Prognosis of the Next Event in a Process [PDF]

, 2023
Martha Razo, Houshang Darabi
openalex   +1 more source

A New Memory Effect in Bulk Crystals of 1T‐TaS2

Advanced Functional Materials, EarlyView.
A new memory effect is discovered in 1T‐TaS₂, appearing as a temperature shift in the metal to insulator transition, coinciding with the recently reported ramp reversal memory. These findings imply that ramp reversal memory is an emergent phenomenon, likely to appear in many different systems that share a few basic properties, which are discussed in ...
Avital Fried, Ouriel Gotesdyner, Irena Feldman, Amit Kanigel, Amos Sharoni   +4 more
wiley   +1 more source

Action Recognition Based on GCN with Adjacency Matrix Generation Module and Time Domain Attention Mechanism [PDF]

, 2023
Rong Yang, Junyu Niu, Ying Xu, Yun Wang, Li Qiu   +4 more
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

EMUlator: An Elementary Metabolite Unit (EMU) Based Isotope Simulator Enabled by Adjacency Matrix. [PDF]

Front Microbiol, 2019
Wu C, Chen CH, Lo J, Michener W, Maness P, Xiong W.   +5 more
europepmc   +1 more source

Transforming Cellulose Into Functional Three‐Dimensional Structures

Advanced Functional Materials, EarlyView.
Cellulose is promising for replacing synthetic polymers due to its excellent mechanical properties and low cost. This review highlights the recent advancements in transforming cellulose into functional 3D structures, including liquid gels and porous materials.
Xia Sun, Hao Sun, Penghui Zhu, Yonggang Wu, Anna Palmer, Feng Jiang   +5 more
wiley   +1 more source

Residue Adjacency Matrix Based Feature Engineering for Predicting Cysteine Reactivity in Proteins. [PDF]

Comput Struct Biotechnol J, 2019
Mapes NJ, Rodriguez C, Chowriappa P, Dua S.   +3 more
europepmc   +1 more source

Bond, Bond-Type, and Total Linear Indices of the Non-Stochastic and Stochastic Edge Adjacency Matrix. 1. Theory and QSPR Studies

, 2005
Yovani Marrero‐Ponce, Francisco Torrens   +1 more
openalex   +1 more source