Results 191 to 200 of about 797,150 (338)
Corrigendum to “On strongly regular signed graphs” [Discrete Applied Mathematics 271 (2019) 184–190]
Zoran Stanić
openalex +1 more source
Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch+4 more
wiley +1 more source
"One and One are One". .. and Two: An Inquiry into Dickinson's Use of Mathematical Signs
Michael Theune
openalex +2 more sources
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong+20 more
wiley +1 more source
The results of the pedagogical experiment to clarify the number of dynamic mathematics software, which modern math teacher should know, are described.Quantitative results of the questionnaire survey of math teachers concerning the use of DMS in the ...
Olena V. Semenikhina+1 more
doaj
YOUNG CHILDREN'S REPRESENTATIONS AND IDEAS ABOUT THE MATHEMATICAL SIGNS OF PLUS AND MINUS [PDF]
Glykeria Fragkiadaki
openalex +1 more source
A new analytical pipeline, FREQuency‐resolved Network Estimation via Source Separation (FREQ‐NESS), reveals how the brain at rest is organized in frequency‐specific networks and dynamically rearranges during auditory stimulation. By analyzing source‐reconstructed magnetoencephalography (MEG) data, FREQ‐NESS uncovers the networks' prominence, spatial ...
Mattia Rosso+6 more
wiley +1 more source
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren+5 more
wiley +1 more source
Graphical Abstract This study deals with a timely topic, COVID‐19, whose impacts on aquaculture have never been quantified in Benin. Direct discussions were held with aquaculture producers to understand how they are feeling the impact of the pandemic on their business.
Toundji Olivier Amoussou+7 more
wiley +1 more source
Early warning signs for tipping points in systems with non-Gaussian α-stable noise. [PDF]
Layritz LS+3 more
europepmc +1 more source