Unveiling diverse solitons in the quintic perturbed Gerdjikov-Ivanov model via a modified extended mapping method. [PDF]
Hussein HH+3 more
europepmc +1 more source
Based on a well‐established in vitro directed differentiation model and an integrated analysis of high‐density cell lineage trees (CLTs) and single‐cell transcriptomes, it is demonstrated that many subclones are formed by sub‐CLTs resembling each other in terms of both cell type compositions and topological structures.
Xiaoyu Zhang+14 more
wiley +1 more source
High performance adaptive step size fractional numerical scheme for solving fractional differential equations. [PDF]
Shams M, Alalyani A.
europepmc +1 more source
A Programmed DNA Dynamic Assembly‐Guided Molecular Amplifier for Authentic Information Decryption
This study presents a DNA‐based constitutional dynamic network (CDN) with adaptive thresholds for secure information decryption. The system self‐calibrates output patterns, ensuring reproducibility and accuracy, and integrates molecular amplifiers for expanded message capacity and precise DNA sensing.
Ning Yang+9 more
wiley +1 more source
Mathematical modeling and estimation of physicochemical characteristics of pneumonia treatment drugs through a novel approach <i>K</i>-Banhatti topological descriptors. [PDF]
Khan AR+4 more
europepmc +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
Retraction Note: Analytical investigations of propagation of ultra-broad nonparaxial pulses in a birefringent optical waveguide by three computational ideas. [PDF]
Liu Y+4 more
europepmc +1 more source
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
A review of machine learning methods for imbalanced data challenges in chemistry. [PDF]
Jiang J+8 more
europepmc +1 more source
Utilizing a stereotaxic injection mouse model and a novel mathematical approach, this study uncovers key subnetworks that drive pathological α‐synuclein (α‐Syn) progression in Parkinson's disease (PD). Remarkably, just 2% of the strongest connections in the connectome are sufficient to predict its spread.
Yuanxi Li+16 more
wiley +1 more source