Results 181 to 190 of about 3,350,573 (207)

Metabolomic profiling of <i>Burkholderia thailandensis</i> infection of airway epithelial cells provides insights into potential therapeutic targets. [PDF]

mSystems
Hicks DJ, Aiosa N, Sinha A, Jaiyesimi OA, Branda SS, Garg N.   +5 more
europepmc   +1 more source

Mitochondrial dysfunction by glyoxalase 1 deficiency disrupts definitive endoderm and alveolar development of human pluripotent stem cells. [PDF]

Exp Mol Med
Jeong S, Koh H, Kang M, Kim JY, Rasaei R, Kim WJ, Han SS, Hong IS, Yang SR, Lee JH, Hong SH.   +10 more
europepmc   +1 more source

AGEN: Adaptive Error Control-Driven Cross-View Geo-Localization Under Extreme Weather Conditions. [PDF]

Sensors (Basel)
Xu M, Lv H, Zhu H, Dong E, Wu F.
europepmc   +1 more source

Neural Markers Predict Tendon Healing Outcomes in an Ovine Achilles Tendon Injury Model: Spontaneous Repair Versus Amniotic Epithelial Cell-Induced Regeneration. [PDF]

Int J Mol Sci
Festinese VG, Faydaver M, Nardinocchi D, Di Giacinto O, El Khatib M, Mauro A, Turriani M, Canciello A, Berardinelli P, Russo V, Barboni B.   +10 more
europepmc   +1 more source

A hybrid extended Fermatean fuzzy WASPAS approach for optimal blockchain selection in building information modelling. [PDF]

Sci Rep
Fu P, Cao S, Xu D, Zhang X, Xie J.
europepmc   +1 more source

Nader embarrasses the US AEC

Nature, 1974
Colin Norman
openalex   +2 more sources

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Deep Adaptive Aec: Hybrid of Deep Learning and Adaptive Acoustic Echo Cancellation

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
In this paper we integrate classic adaptive filtering algorithms with modern deep learning to propose a new approach called deep adaptive AEC. The main idea is to represent the linear adaptive algorithm as a differentiable layer within a deep neural ...
Hao Zhang, S. Kandadai, Harsha I. K. Rao, Minje Kim, Tarun Pruthi, T. Kristjansson   +5 more
semanticscholar   +1 more source

Evaluation of safe-to-fail flood solution alternatives and integration of safe-to-fail concept in AEC education to develop resilient coastal cities

International Journal of Disaster Resilience in the Built Environment, 2022
Purpose Safe-to-fail (SF) is an emerging resilient design approach that has the potential to minimize the severity of flood damages. The purpose of this study is to explore the SF design strategies to reduce flood disaster damages in US coastal cities ...
Rubaya Rahat, Piyush Pradhananga, Mohamed Elzomor,   +2 more
semanticscholar   +1 more source