Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Autoblog

How Much Range Does Your EV Lose After 5 Years? Here’s The Real Data

From Audi’s e-tron to the Nissan Leaf, mainstream electric cars now cluster between 87% and 94% range retention after five years, marking a dramatic leap in battery longevity. “Roll up to a tailgate ...
IEEE

Range–Doppler Spectrum Anomaly Detection for Sky-Wave Over-the-Horizon Radar Based on Image Recognition and Data Augmentation

Abstract: Sky-wave over-the-horizon radar (OTHR) receives various kinds of environmental signals, such as sea–land clutter (SLC), external interference, and ionospheric clutter. OTHR detects targets ...
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.