Results 91 to 100 of about 24,485,484 (328)

Hybrid Simulation Safety: Limbos and Zero Crossings

, 2017
Physical systems can be naturally modeled by combining continuous and discrete models. Such hybrid models may simplify the modeling task of complex system, as well as increase simulation performance.
EA Lee, EA Lee, F Cremona, FE Cellier, H Nilsson, KH Johansson, P Fritzson, R Alur, SW Golomb   +8 more
core   +1 more source

Hybrid plasma modeling. [PDF]

, 2009
This report summarizes the work completed during FY2007 and FY2008 for the LDRD project ''Hybrid Plasma Modeling''. The goal of this project was to develop hybrid methods to model plasmas across the non-continuum-to-continuum collisionality spectrum. The primary methodology to span these regimes was to couple a kinetic method (e.g., Particle-In-Cell ...
Hopkins, Matthew Morgan, DeChant, Lawrence Justin, Piekos, Edward Stanley, Pointon, Timothy David   +3 more
openaire   +2 more sources

TMC4 localizes to multiple taste cell types in the mouse taste papillae

FEBS Open Bio, EarlyView.
Transmembrane channel‐like 4 (TMC4), a voltage‐dependent chloride channel, plays a critical role in amiloride‐insensitive salty taste transduction. TMC4 is broadly expressed in all mature taste cell types, suggesting a possible involvement of multiple cell types in this pathway.
Momo Murata, Yoshikazu Saito, Yoichi Kasahara, Wataru Fujii, Takumi Misaka, Tomiko Asakura, Masataka Narukawa   +6 more
wiley   +1 more source

Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures

Computers
Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, requiring early detection for effective treatment. Deep learning models have been widely used for automated DR classification, with Convolutional Neural Networks (CNNs) being ...
Weijie Zhang, Veronika Belcheva, Tatiana Ermakova   +2 more
doaj   +1 more source

Down‐regulation of Shh in the hair follicles of mice during chemotherapy‐induced hair loss is mediated by the JAK/STAT1 signaling pathway

FEBS Open Bio, EarlyView.
We found that during chemotherapy‐induced alopecia (CIA), Sonic hedgehog (Shh) expression significantly decreased in hair follicle Shh+ cells, whereas the Janus‐activated kinase/signal transducer and activator of transcription 1 (JAK/STAT1) signaling pathway was markedly activated.
Ruifang Fan, Jingling Huang, Xiang Lin, Tingjiao Lan, Yuli Tang, Ling Sun, Guixuan Zhou   +6 more
wiley   +1 more source

Constrained Hybrid Monte Carlo algorithms for gauge-Higgs models

, 2020
We develop Hybrid Monte Carlo (HMC) algorithms for constrained Hamiltonian systems of gauge- Higgs models and introduce a new observable for the constraint effective Higgs potential.
Günther, Michael, Höllwieser, Roman, Knechtli, Francesco   +2 more
core   +1 more source

Hybrid Modeling of Plasmas [PDF]

, 2010
5 pages, LaTeX; Submitted to the Proceedings of the 8th European Conference on Numerical Mathematics and Advanced Applications, 2009; Small language ...
openaire   +2 more sources

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Unsupervised Learning With Hybrid Models for Detecting Electricity Theft in Smart Grids

IEEE Access
In the energy sector, electricity theft presents serious financial and security risks. By fusing supervised learning models (Random Forest) with unsupervised learning algorithms (Isolation Forest, One-Class Support Vector Machine (SVM), Local Outlier ...
Ali Jaber Almalki
doaj   +1 more source

Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques With Cyber-Physical System (CPS) Focus

IEEE Access, 2020
A multitude of cyber-physical system (CPS) applications, including design, control, diagnosis, prognostics, and a host of other problems, are predicated on the assumption of model availability.
Rahul Rai, Chandan K. Sahu
doaj   +1 more source