Results 71 to 80 of about 59,334 (307)

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

Supplementary Information for: Quantifying Subsurface Parameter and Transport Uncertainties Using Surrogate Modeling and Environmental Tracers

, 2021
Supplementary Information tables and figure for manuscript submission to Hydrological Processes, 2021. Manuscript title is: Quantifying Subsurface Parameter and Transport Uncertainties Using Surrogate Modeling and Environmental ...
Nicholas E. Thiros, Douglas J. Brinkerhoff, W. Payton Garden, Marco P. Maneta   +3 more
core   +1 more source

Multi-fidelity surrogate modeling using long short-term memory networks [PDF]

, 2022
When evaluating quantities of interest that depend on the solutions to differential equations, we inevitably face the trade-off between accuracy and efficiency. Especially for parametrized, time dependent problems in engineering computations, it is often
Conti, Paolo, Hesthaven, Jan S., Guo, Mengwu, Manzoni, Andrea   +3 more
core   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

Code and data for 'Investigating representation schemes for surrogate modeling of High Entropy Alloys

, 2023
This release contains the code accompanying the revised version of the paper 'Investigating representation schemes for surrogate modeling of High Entropy Alloys'
Arindam Debnath, Wesley F. Reinhart
core   +1 more source

Aero-structural characterization of wing planforms using machine learning

Advances in Aerodynamics
This study introduces a machine learning (ML) framework for efficient aero-structural characterization of wing planform shapes, addressing the computational challenges posed by traditional CFD and FEA methods.
Mehedi Hasan, Zhongmin Deng, Azad Khandoker   +2 more
doaj   +1 more source

On Design Mining: Coevolution and Surrogate Models [PDF]

Artificial Life, 2017
Design mining is the use of computational intelligence techniques to iteratively search and model the attribute space of physical objects evaluated directly through rapid prototyping to meet given objectives. It enables the exploitation of novel materials and processes without formal models or complex simulation.
Richard John Preen, Larry Bull
openaire   +3 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

From seasonal field study to surrogate modeling: Investigating the biomechanical dynamics of Elymus sp. in salt marshes

This dataset details the data addressed and analyzed in Keimer et al., titled "From seasonal field study to surrogate modeling: Investigating the biomechanical dynamics of Elymus sp. in salt marshes". This study conducted monthly field campaigns focusing
Kind, Felix, Niewerth, Stephan, Aberle, Jochen, Schürenkamp, David, Prinz, Markus, Goseberg, Nils, Keimer, Kara, Kosmalla, Viktoria, Lojek, Oliver, Prüter, Inga   +9 more
core   +1 more source

Convergence of Weak-SINDy Surrogate Models

SIAM Journal on Applied Dynamical Systems
In this paper, we give an in-depth error analysis for surrogate models generated by a variant of the Sparse Identification of Nonlinear Dynamics (SINDy) method. We start with an overview of a variety of non-linear system identification techniques, namely, SINDy, weak-SINDy, and the occupation kernel method.
Benjamin P. Russo, M. Paul Laiu
openaire   +3 more sources