eLife

Continuous partitioning of neuronal variability

Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Open Heart

Association of Life’s Simple 7 with metabolic-associated steatotic liver disease and non-invasive fibrosis markers

Background Metabolic-associated steatotic liver disease (MASLD) is a prevalent chronic liver disease affecting approximately ...
ascopubs.org

Incorporating Continuous Mammographic Density Into the BOADICEA Breast Cancer Risk Prediction Model

Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA v7) predicts future breast cancer (BC) risk using data on cancer family history (FH), genetic markers, ...
eLife

ANTIPODE Provides a Global View of Cell Type Homology and Transcriptomic Divergence in the Developing Mammalian Brain

The evidence supporting the conclusions of this work is solid, and ANTIPODE presents an updated methodological approach to determining how gene expression at the cell-type level has evolved. Thus, ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
IEEE

Dynamic Probability-Density-Dependent Event-Triggered

Abstract: The dynamic event-triggered $\mathcal {L}_{\infty }$ load frequency control (LFC) problem is investigated for power systems subject to stochastic transmission delays and disturbances. To ...