Results 111 to 120 of about 769,896 (315)
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Analysis of optimization processes through computational design: the case study of concurrent simulations in complex geometries [PDF]
embargoed_20270115Negli ultimi decenni, l’introduzione progressiva nel processo progettuale di approcci che richiedono l’uso della logica matematica o algoritmica nella formalizzazione di alcune specifiche fasi, nonché di una visione cognitiva d’insieme
DE BIASIO, GIACOMO
core
New computational approach for the design of fault detection and isolation filters [PDF]
We propose a numerically reliable computational approach for the design of residual generators for fault detection and isolation filters. The new approach is based on computing solutions of least dynamical orders of linear equations with rational matrix ...
Varga, Andras
core
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Computational issues in fault detection filter design [PDF]
We discuss computational issues encountered in the design of residual generators for dynamic inversion based fault detection filters. The two main computational problems in determining a proper and stable residual generator are the computation of an ...
Varga, A., Varga, Andras
core
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Calibration of a Low-Cost Methane Sensor Using Machine Learning
In order to combat greenhouse gas emissions, the sources of these emissions must be understood. Environmental monitoring using low-cost wireless devices is one method of measuring emissions in crucial but remote settings, such as peatlands.
Hazel Louise Mitchell +2 more
doaj +1 more source
Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay +2 more
wiley +1 more source
Computational morphogenesis of free form shells: Filter methods to create alternative solutions [PDF]
p. 536-547Actual trends in numerical shape optimal design of structures deal with handling of very large dimensions of design space. The goal is to allowing as much design freedom as possible while considerably reducing the modelling effort.
WÜCHNER, Roland +3 more
core +1 more source

