C&EN

Membrane-based separations for more efficient crude oil refining

Two recent studies report alternative strategies to the energy-intensive distillation process of petroleum refining. Instead ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
The New York Times

Alberta Will Vote on a Possible Referendum to Separate From Canada. Here’s What to Know.

Premier Danielle Smith announced that she would ask citizens to vote on whether they want to stay in Canada, or hold a referendum to secede. By Matina Stevis-Gridneff The oil-rich Western Canadian ...
GitHub

SAV Solvers for Nonlinear Stiff String Models

MATLAB implementation of Scalar Auxiliary Variable (SAV) schemes for three geometrically nonlinear stiff string models, using Finite-Difference Time-Domain (FDTD) spatial discretisation. All solvers ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
IEEE

Data-Driven Signal Separation of Force Sensor for Minimally Invasive Surgical Robot Using GRU-MLP Model

Abstract: Force sensors mounted on the shaft of surgical instruments are subject to interference from the tension generated by the cable-driven system, which affects their measurement accuracy. This ...
Frontiers

A non-separation diagnostic framework for assessing canine attachment structure

Conventional diagnostic approaches to canine attachment and separation-related behaviors rely primarily on behavioral outcomes observed during induced separation from the caregiver. While widely ...
LinkedIn

#3. Non-Linear Regression in Machine Learning

Welcome to AI Investment Journey! This is a space to capture and share what I learn about AI, ML, and DL, applied to investment management. Why? To learn better by teaching, to connect with others ...
Phys.org

Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make predictions or to create new content. The quality ...
Nature

Identification of prognostic genes associated with phase separation in lung adenocarcinoma and construction of prognostic models

Lung adenocarcinoma (LUAD) is a common histological subtype of lung cancer, but its prognosis remains poor. Recent studies have suggested that liquid-liquid phase separation-related genes (LRGs) can ...
Scientific Research Publishing

Cannon, A. J. (2018). Multivariate Quantile Mapping Bias Correction: An N-Dimensional Probability Density Function Transform for Climate Model Simulations of Multiple Variables ...

ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...