Another day, another buzzy weight loss strategy. But today’s lesson, the 2-2-2 method for your metabolism, actually entails multiple weight loss techniques like keto, intermittent fasting, ...

ABSTRACT: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their ...

Nested sampling (NS) has emerged as a powerful tool for exploring thermodynamic properties in materials science. However, its efficiency is often hindered by the limitations of Markov chain Monte ...

ABSTRACT: The decision to be debt-free or remain in debt is vital in shaping policies on loans for public-school teachers in Philippines. This study explores teachers’ willingness to repay debt, their ...

How do you design a study that captures human experience as it unfolds in real time? In this episode, Under the Cortex explores the Experience Sampling Method (ESM), a powerful approach for studying ...

Generative models traditionally rely on large, high-quality datasets to produce samples that replicate the underlying data distribution. However, in fields like molecular modeling or physics-based ...

Abstract: A radio environment map (REM) is an important basis for efficient spectrum management in wireless networks. Unmanned aerial vehicles (UAVs) can effectively detect the REM in unfamiliar ...

As soon as ctrl+z is pressed, or a sampling step is done while the active workflow isn't the one in focus, the sampler node loses the preview. The preview doesn't return for the rest of the generation ...

TL;DR: Seagate was the first storage manufacturer to introduce heat-assisted magnetic recording hard drives to the market and continues to innovate in magnetic storage technology. The company is ...

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...

Large language models (LLMs) have significantly advanced the field of natural language processing (NLP). These models, renowned for their ability to generate and understand human language, are applied ...