Results 301 to 310 of about 217,226 (371)

Ampicillin promotes the biofilm formation of <i>Shewanella putrefaciens</i> through the c-di-GMP-regulated BpfAGD system. [PDF]

Microbiol Spectr
Shi R, Sun D, Liu J, Yang J, Zhu J, Liu C, Liu W.   +6 more
europepmc   +1 more source

Roles of Cyclic Nucleotide Phosphodiesterases in Signal Transduction Pathways in the Nematode <i>Caenorhabditis elegans</i>. [PDF]

Cells
Galande KK, Cote RH.
europepmc   +1 more source

The Cyclic Adenosine Monophosphate Phosphodiesterase CpdA Modulates cAMP Homeostasis, Stress Adaptability, Biofilm Formation, Motility, Quorum Sensing and Antibiotic Resistance of <i>Aeromonas veronii</i>. [PDF]

J Microbiol Biotechnol
Yang W, Wang X, Zhou S, Yu G, Zhou X, Sui Z.   +5 more
europepmc   +1 more source

Rigorous construction and classification of solitary-waves and exact soliton configurations in the nonlinear coupled Maccari system. [PDF]

Sci Rep
Hussain A, Khalel NJ, Oğul B, Al-Sinan BR, Thaqfan AA, Aly ES, Ibrahim TF.   +6 more
europepmc   +1 more source

AnÃlise da formaÃÃo continuada de professores de geografia no PDE: um estudo dos orientandos da UNIOESTE - Francisco BeltrÃo

, 2013
SÃrgio Andrà Farias
openalex   +1 more source

Plant-Derived Exosomes: Carriers and Cargo of Natural Bioactive Compounds: Emerging Functions and Applications in Human Health. [PDF]

Nanomaterials (Basel)
Yazdanpanah S, Romano S, Valentino A, Galderisi U, Peluso G, Calarco A.   +5 more
europepmc   +1 more source

Gevrey Asymptotic Theory for Singular 1st Order Linear PDE (Asymptotic Analysis and Microlocal Analysis of PDE)

, 2001
Masaki Hibino
openalex   +1 more source

Weak-PDE-Net: Discovering Open-Form PDEs via Differentiable Symbolic Networks and Weak Formulation [PDF]

Xinxin Li, Xingyu Cui, Jin Qi, Juan Zhang, Da Li, Junping Yin   +5 more
openalex  

SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs [PDF]

Journal of Computational Physics, 2021
We introduce a class of Sparse, Physics-based, and partially Interpretable Neural Networks (SPINN) for solving ordinary and partial differential equations (PDEs).
Amuthan Arunkumar Ramabathiran, Prabhu Ramachandran   +1 more
exaly   +2 more sources