A Python tool for estimating stock exposures to common investment factors (Value, Momentum, Carry, Volatility) using regression and PCA methods. Generates detailed reports explaining which factors ...

Abstract: Accurate and robust sea clutter modeling and parameter estimation are foundational for target detection. Traditional modeling methods rely on measured data, while clutter modeling based on ...

Snowflake's AI tools underpin 50% of new bookings, with a $100M AI run rate achieved a quarter early. Read why SNOW stock is a Buy.

It’s Election Day 2025. And the results in New Jersey, Virginia and elsewhere Tuesday could be some of the most significant dominoes to fall in the federal government shutdown, which is set to become ...

This paper describes a security boost to two-factor authentication (2FA) systems via Media Access Control (MAC) address verification. Even as 2FA is established as a security baseline, weaknesses ...

Objective: This study aimed to estimate dropout rates among adults with illicit drug use participating in digital psychosocial intervention trials, and to identify factors associated with attrition.

Department of Research and Development, Lumos Labs, Inc., San Francisco, CA, United States Although the survey was not formally characterized, the first four items were similar to ones from the CFQ, ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Background: Oral behaviours, both functional and non-functional, are commonly reported and can negatively impact oral health. Among orofacial pain patients, non-functional oral behaviours have been ...