Results 181 to 190 of about 640,740 (223)
Investigating pseudo parabolic dynamics through phase portraits, sensitivity, chaos and soliton behavior. [PDF]
Jhangeer A+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
Chaotic behavior, sensitivity analysis and Jacobian elliptic function solution of M-fractional paraxial wave with Kerr law nonlinearity. [PDF]
Roshid MM+3 more
europepmc +1 more source
Actionable Forecasting as a Determinant of Biological Adaptation
A new framework reveals how biological systems can achieve precise adaptation by tracking an actionable target that combines the current optimal state with its rate of change. This approach, implemented through dynamics‐informed neural networks, demonstrates that predictive mechanisms like circadian rhythms become beneficial when environmental sensing ...
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Dynamical Systems on Generalised Klein Bottles. [PDF]
Grindrod P, Yim KM.
europepmc +1 more source
Mathematical analysis of a real time dynamical system: Interaction between Agricultural Variables
Godspower C. Abanum+3 more
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
Critical Relaxation in the Quantum Yang-Lee Edge Singularity. [PDF]
Sun YM, Wang X, Zhai LJ.
europepmc +1 more source
Leukocytes sense mechanical cues provided by surrounding cells to regulate motility. Replicating the confining pressures applied by soft, elastic tissues in vitro is challenging. Here, the use of liquid‐liquid interfaces is introduced to model forces exerted by surrounding cells. Confining pressures are tunable by controlling interfacial curvature, and
Jonathan H. Schrope+13 more
wiley +1 more source