Results 81 to 90 of about 87,048 (263)
Shenfun -- automating the spectral Galerkin method
With the shenfun Python module (github.com/spectralDNS/shenfun) an effort is made towards automating the implementation of the spectral Galerkin method for simple tensor product domains, consisting of (currently) one non-periodic and any number of ...
Mortensen, Mikael
core
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Numba-MPI v1.0: Enabling MPI communication within Numba/LLVM JIT-compiled Python code
The numba-mpi package offers access to the Message Passing Interface (MPI) routines from Python code that uses the Numba just-in-time (JIT) compiler. As a result, high-performance and multi-threaded Python code may utilize MPI communication facilities ...
Kacper Derlatka +4 more
doaj +1 more source
This target trial emulation in solid organ transplant candidates with obesity and type 2 diabetes evaluates whether pre‐transplant dual therapy with GLP‐1 receptor agonists plus SGLT2 inhibitors is associated with post‐transplant mortality and kidney graft outcomes compared with monotherapy or usual care, using multinational electronic health records ...
Yu‐Nan Huang +7 more
wiley +1 more source
iamxt: Max-tree toolbox for image processing and analysis
The iamxt is an array-based max-tree toolbox implemented in Python using the NumPy library for array processing. It has state of the art methods for building and processing the max-tree, and a large set of visualization tools that allow to view the tree ...
Roberto Souza +3 more
doaj +1 more source
Systematically Engineering for Efficient Production of 3‐Methyl‐1‐Butanol in Escherichia coli
An integrated metabolic engineering strategy was established for high‐level 3‐methyl‐1‐butanol biosynthesis in Escherichia coli. Molecular dynamics‐guided semi‐rational engineering of dihydroxyacid dehydratase uncovered and relieved key catalytic bottlenecks, while adaptive laboratory evolution enhanced strain robustness.
Nanfei Geng +6 more
wiley +1 more source
Cyclic nucleotide‐gated (CNG) and hyperpolarization‐activated cyclic nucleotide‐gated (HCN) channels share substantial sequence and structural similarity but differ markedly in ion conductance and K+ selectivity. Microsecond‐scale atomistic MD simulations qualitatively reproduced the conductance differences observed in single‐channel recordings and ...
Haoran Liu +3 more
wiley +1 more source
Ultrafast laser writing on titanium (Ti)–titanium dioxide (TiO2)–Ti sandwich films triggers controllable oxidation (〉200 nm) to create vivid, durable structural colors. The colors reach 〉 80% of the standard RGB (sRGB) gamut, up to 60% peak reflectance, and 30,000 dots per inch (DPI) resolution for art and anti‐counterfeiting.
Ruiyi Chen +5 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
This paper delves into integrating machine learning techniques into dermatological diagnostics, specifically focusing on identifying and evaluating skin diseases [...]
Neelamadhab Padhy +3 more
doaj +1 more source

