Results 101 to 110 of about 14,024,113 (261)

Lightweight and Interpretable Transformer-Based Models for Predicting Driving Comfort in Autonomous Vehicles

IEEE Access
Accurate prediction of driving comfort is important for improving both user experience and operational safety in autonomous vehicles. This study examines lightweight and interpretable Transformer-based models, including Multi-Head Attention, FT ...
Wenbing Zhu, Shihan Luo, Hyowon Lee, Amandeep Singh, Siby Samuel   +4 more
doaj   +1 more source

Folder 5: Model engine data sheets and operating instructions, G - I, 1978-1980, 1983, 2022

, 1978
A letter from Herb's Model Motors along with specifications for the Hurleman Twin model engine.
Herb's Model Motors
core  

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

FEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav, Bogdan I. Florea, Sebastian Geibel   +2 more
wiley   +1 more source

Cutting-Edge Hybrid Machine Learning Models for Forecasting the Acid Resistance of Cementitious Composites Incorporating Eggshell and Glass Powders

Journal of Natural Fibers
This research introduced advanced hybrid machine learning (ML) techniques to create an efficient model for estimating the compressive strength after acid attack (CSAA).
Irfan Ullah, Muhammad Faisal Javed, Hisham Alabduljabbar, Furqan Ahmad   +3 more
doaj   +1 more source

Sub-series 2: Publications

, 1993
Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
core  

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Beyond Accuracy: Explainable Deep Learning for Alzheimer’s Disease Detection Using Structural MRI Data

Information
Alzheimer’s disease (AD) is a neurodegenerative condition that gradually deteriorates memory and cognitive abilities, posing a significant global health challenge.
Tamal Chakroborty, Adam Colafranceschi, Yang Liu, for the Alzheimer’s Disease Neuroimaging Initiative   +3 more
doaj   +1 more source

Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency. [PDF]

Phys Med Biol, 2022
Barragán-Montero A, Bibal A, Dastarac MH, Draguet C, Valdés G, Nguyen D, Willems S, Vandewinckele L, Holmström M, Löfman F, Souris K, Sterpin E, Lee JA.   +12 more
europepmc   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Graph Fourier Deep Learning for Spatiotemporal and Hydrogeological Interpretation of Groundwater Levels in the Yellow River Basin

Water Resources Research
Groundwater systems exhibit strong spatial heterogeneity and nonlinear dynamics, complicating the parameterization of physically based hydrological models and limiting adaptability at large scales.
Zhenjiang Wu, Yingying Yao, Shuitao Guo, Shuai Yang, Xin He, Michele Lancia, Chunmiao Zheng   +6 more
doaj   +1 more source