Results 31 to 40 of about 337,081 (267)
Fault Diagnosis of Planetary Gearbox Based on Dynamic Simulation and Partial Transfer Learning
To address the problem of insufficient real-world data on planetary gearboxes, which makes it difficult to diagnose faults using deep learning methods, it is possible to obtain sufficient simulation fault data through dynamic simulation models and then ...
Mengmeng Song +4 more
doaj +1 more source
Simulation of Dynamic Environments for SLAM
CITE AS: @inproceedings{ bonetto2023dynamicSLAM, title={{S}imulation of {D}ynamic {E}nvironments for {SLAM}}, author={Elia Bonetto and Chenghao Xu and Aamir Ahmad}, booktitle={ICRA2023 Workshop on Active Methods in Autonomous Navigation}, year={2023}, url={https://robotics.pme.duth.gr/workshop_active2/wp-content/uploads/2023/05/01.-Simulation-of ...
Elia Bonetto, Chenghao Xu, Aamir Ahmad
openaire +2 more sources
Magnetotactic bacteria (MTB) are a diverse group of microorganisms capable of using geomagnetic fields for navigation. This magnetotactic behavior can help microorganisms move toward favorable habitats for optimal growth and reproduction. A comprehensive
Haitao Chen +15 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Palythoa caribaeorum (class Anthozoa) is a zoantharian which, together with other cnidarians, like jellyfishes, hydra, and sea anemones, possesses specialized structures in its tissues, the cnidocytes, which deliver an array of toxins in order to capture
Qiwen Liao +7 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Identification of Linear Time-Invariant Systems with Dynamic Mode Decomposition
Dynamic mode decomposition (DMD) is a popular data-driven framework to extract linear dynamics from complex high-dimensional systems. In this work, we study the system identification properties of DMD.
Jan Heiland, Benjamin Unger
doaj +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Basic study of condensate throttling operation for nuclear power plants
As a power generation control method for utilization in nuclear power plants, the turbine bleed valve operation known as condensate throttling (CT) which controls the extraction steam flow rate from a steam turbine to increase generating power has been ...
Yukinori KATAGIRI, Yohei MURAKAMI
doaj +1 more source

