We applied BERTopic with the all-MiniLM-L6 model and k-means clustering to infer thematic structures and used coherence scores to determine the optimal number of topics for each language. Descriptive ...

AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers ...

Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news ...

Not every laptop purchase is about chasing premium specs. Sometimes you just want something reliable for work, school, and ...

Abstract: Designing effective topic models for long and unstructured documents is essential for detecting significant topics within them. However, traditional topic modeling approaches have certain ...

RLC circuit modeling and simulation using Python, explained step by step. Explore resonance, damping, and frequency response with practical coding and clear physics insights. #RLCCircuit ...

Introduction: Recent research has highlighted the limitations of the categorical approach to mental disorders and has increasingly supported the development of a transdiagnostic perspective. This ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

New research from CrowdStrike has revealed that DeepSeek's artificial intelligence (AI) reasoning model DeepSeek-R1 produces more security vulnerabilities in response to prompts that contain topics ...