Abstract: Recent work (Ramírez et al., 2020) has introduced Multi-Channel Factor Analysis (MFA) as an extension of factor analysis to multi-channel data that allows for latent factors common to all ...

The abundance analysis in the tutorial (https://github.com/soedinglab/MMseqs2/wiki/Tutorials#abundance-analysis) suggests mmseqs prefilter to be set at -s 2 since ...

Comfort foods that are filling even with relatively low calories. Proteins retain moisture and tenderness. More than 60 high-protein options available. Fully prepared meals only require reheating. The ...

In my 19 years of experience with vibration analysis in refinery and chemical plants and 15 years in the oil and gas sector, I have set up, managed, or supervised numerous vibration programs for ...

Every investment portfolio is a bundle of risk factors - value and growth stocks, small-cap vs. large-cap stocks, and so on. Regardless of whether you target specific factors or ignore them, these ...

In this tutorial, we dive deep into the advanced capabilities of OpenBB to perform comprehensive portfolio analysis and market intelligence. We start by constructing a tech-focused portfolio, fetching ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

On June 19, Israeli military spokesman Brigadier General Effie Defrin mistakenly stated that the Israel Defense Forces had struck Iran’s Bushehr Nuclear Power Plant. Although Israel quickly walked ...

Sujai Shivakumar testified before the Joint Economic Committee regarding the importance of strengthening American manufacturing for national security and economic leadership. Chairman Schweikert, ...

Introduction: This study compares the 5-factor and 4-factor models of the Higher Education Success Factor (HESF) framework. Through this research, we aimed to identify the social determinants ...

Abstract: Factor graphs, initially developed as probabilistic graphical models, have been widely employed for solving large-scale inference problems in robotics, particularly in tasks such as pose ...