Results 71 to 80 of about 6,815,023 (244)

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
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, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

SIRFrt method : assessing and improving maintenance reliability /

, 2015
The focus of this paper is to assess ways to improve plant availability of an organisation in order to reduce its reactive maintenance from its current level of 30%.
Sharma, Subhash C., Mather, Narein., Ritesh Chugh (9787172), N Mather (9878024), Chugh, Ritesh., Subhash Sharma (9834110)   +5 more
core  

Mathematical modeling of railway systems technical support readiness levels using an integral indicator based on the Harrington scale

Transportation and Information Technologies in Russia
Background. The relevance of the study is due to the increasing demands on the reliability and safety of railway transport. Modern railway automation and telemechanics systems are elaborate technical complexes, the failure of which can lead to ...
Aleksandr V. Gorelik, Elena V. Kuzmina
doaj   +1 more source

Boltzmann-like Entropy in Reliability Theory

Entropy, 2002
: We introduce the entropy function in order to study the reliability and repairability of systems. In detail we establish the explicit relationships between reliability and repairability; then we calculate the decay of a system due to its regular ...
Paolo Rocchi
doaj   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

Calculation of road reliability based on mathematical theory of reliability

MATEC Web of Conferences, 2018
The paper presents the mathematical theory of reliability as related to the theory of road reliability. The concepts of “initial reliability” and “durability” are combined in a single algorithm.
Efimenko Vladimir, Moisejenko Rostislav
doaj   +2 more sources

Application of reliability theory and risk management in sustainable agricultural construction infrastructure in high-risk regions

Budownictwo o Zoptymalizowanym Potencjale Energetycznym
Reliability theory, probabilistic modeling, and risk management are tools that allow for deter-mining the probability of correct operation under specific times and conditions, better under-standing complex real-world systems by accounting for their ...
Martin Vartanov, Nana Beraia, Konstantine Bziava, Marina Shogiradze   +3 more
doaj   +1 more source

Reliability in probabilistic key-block theory [PDF]

REM: International Engineering Journal
The key-block theory enables the identification of stable and unstable blocks along the perimeter of underground excavations in hard rock. Monte Carlo simulation can be used to develop a probabilistic extension of the key-block theory.
Rubén Medinaceli Tórrez, Tarcisio B. Celestino, Paulo Gustavo Cavalcante Lins   +2 more
doaj   +2 more sources

Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1

FEBS Open Bio, EarlyView.
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, Junjie Xu, Josep Rizo   +2 more
wiley   +1 more source

Reinforcement learning layout‐based optimal energy management in smart home: AI‐based approach

IET Generation, Transmission & Distribution
This research addresses the pressing need for enhanced energy management in smart homes, motivated by the inefficiencies of current methods in balancing power usage optimization with user comfort. By integrating reinforcement learning and a unique column‐
Sajjad Afroosheh, Khodakhast Esapour, Reza Khorram‐Nia, Mazaher Karimi   +3 more
doaj   +1 more source