Results 51 to 60 of about 158,428 (296)

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

Modelling Extreme Rainfall in KwaZulu-Natal Province of South Africa Using Extreme Value Theory

Mathematical and Computational Applications
This study reviews advanced extreme value theory techniques and applies them to extreme rainfall events recorded at two meteorological stations, Port Edward and Virginia, in the KwaZulu-Natal province of South Africa.
Hulisani Lutombo, Daniel Maposa, Simon Setsweke Nkoane   +2 more
doaj   +1 more source

Extreme Value Theory for Finance: A Survey [PDF]

SSRN Electronic Journal, 2012
Extreme value theory is concerned with the study of the asymptotical distribution of extreme events, that is to say events which are rare in frequency and huge with respect to the majority of observations. Statistical methods derived from this theory have been increasingly employed in finance, especially in the context of risk measurement.
openaire   +2 more sources

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

When the U.S. Stock Market Becomes Extreme?

Risks, 2014
Over the last three decades, the world economy has been facing stock market crashes, currency crisis, the dot-com and real estate bubble burst, credit crunch and banking panics.
Sofiane Aboura
doaj   +1 more source

Hyperactive ice‐binding proteins stabilize cell membranes and improve resistance to dehydration stress in Caenorhabditis elegans

FEBS Open Bio, EarlyView.
TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose, Kotaro Ozaki, Ryohei Kuriyama, Yuka Ikemoto, Kazuhiro Mio, Yuji C. Sasaki, Tatsuya Arai, Sakae Tsuda, Yoichi Shinkai, Masahiro Kuramochi   +9 more
wiley   +1 more source

A Comparison of the Rates of Change Associated With Hourly and 24‐Hour Precipitation Extremes Across the Eastern United States

Water Resources Research
This study investigates changes in extreme precipitation across the eastern United States using hourly data from 127 stations collected between 1950 and 2023.
Colin P. Evans, Arthur T. DeGaetano
doaj   +1 more source

Estimation of the Parameter of a pARMAX Model

Revstat Statistical Journal, 2010
Max-autoregressive models for time series data are useful when we want to make inference about rare events, mainly in areas like hydrology, geophysics and finance.
Marta Ferreira
doaj   +1 more source

Risk analysis for green water of single-point moored ship

Zhongguo Jianchuan Yanjiu, 2021
ObjectiveThe purpose of this paper is to predict the green water risks of a single-point moored ship.MethodsTherefore, a combined method of coupled dynamic analysis and air gap analysis is proposed.
Wei YANG, Ping ZHANG, Yijun DONG, Zhoulong YUAN, Zhigang ZHANG, Yangguang FENG   +5 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source