Technology Networks

How LC-MS Works in Proteomics To Identify and Quantify Proteins

This detailed overview explains the technical mechanisms of LC-MS proteomics, including peptide separation, ion generation, ...
Science News

A quantum trick helps trim bloated AI models

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Communications of the ACM

Collective Intelligence Doesn’t Scale, In-Context Collaborative Learning Does

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
eLife

Intersection of transient cell states with stable cell types in hippocampus

This important study provides a detailed analysis of the transcriptional landscape of the mouse hippocampus in the context of various physiological states. The main conclusions have solid support: ...
Lupus Science & Medicine

Association between disease duration and comorbidity burden in systemic lupus erythematosus: a multicentre study from Pakistan

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Forbes

15 Mission Statement Examples For Your Business

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...
Investopedia

Sampling Distribution: Definition, How It's Used, and Example

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
Investopedia

Contempt of Court Explained: Definition, Key Elements, and Real-Life Example

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
IEEE

Large Sparse Covariance Matrix Estimation via Dual Proximal Gradient Method

Covariance matrix estimation in high dimensions is a central problem in data science, signal processing, and machine learning, yet it remains challenging due to the need to ensure both statistical ...
Ecommerce Fastlane

BCG Matrix Guide: How To Build Your Own BCG Matrix

When Sean Frank became the CEO of accessory company Ridge in 2018, he set an ambitious goal for their primary product line of ...
IEEE

Conjugate Gradient Based Multiplicative Update Rules for Nonnegative Matrix Factorization

Abstract: In this paper, we propose a general solution for nonnegative matrix factorization (NMF), a technique widely used in the field of machine learning. NMF is a type of matrix factorization used ...