Matrix Organizations: How Leaders Can Be More Effective

Matrix structures don’t work on their own. The work is less about control and more about integration, often without formal ...

Synthetic chemical framework can switch magnetic spin states at near ambient temperatures

There is growing demand for smart materials that can change their physical properties in response to various external stimuli ...
GitHub

StatsPAI: a Python-native Stata/R replacement for applied causal inference

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
GitHub

Pure Rust BLAS/LAPACK implementation for the SciRS2 ecosystem

OxiBLAS is a production-grade, pure Rust implementation of BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage). Designed as the foundational linear algebra library for the ...
Frontiers

Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy

A gradient preconditioning approach based on transmitted wave energy for least-squares reverse time migration (LSRTM) is proposed in this study. The gradient is preconditioned by using the energy of ...
C&EN

Predicting Protein–Protein Interactions Using Symmetric Logistic Matrix Factorization

Department of Computational and Systems Biology, School of Medicine and Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, United States Department of Computational ...
PNAS

Distortion matrix approach for ultrasound imaging of random scattering media

Ultrasound is a flexible and powerful medical imaging tool. However, variations in organ tissue structure cause propagating waves to undergo unexpected phase shifts, resulting in aberration (blurring) ...
Frontiers

Sparse Coding Using the Locally Competitive Algorithm on the TrueNorth Neurosynaptic System

The Locally Competitive Algorithm (LCA) is a biologically plausible computational architecture for sparse coding, where a signal is represented as a linear combination of elements from an ...