Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...

Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...

Abstract: In this communication, a new sampling method called the knowledge-based sampling method (KBSM) is proposed for deep learning (DL)-assisted planar antenna array design. This approach uses ...

This issue proposes developing comprehensive conceptual guides for each sampling method within the scikit-sampling library. While API documentation explains how to use functions, conceptual guides ...

1 Wuxi hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China 2 Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, ...

PaCS-Q is a Python toolkit designed to assist with Parallel Cascade Selection simulations (PaCS) for studying protein structural transitions in MD and QM/MM MD level.

Introduction: Skin microecology significantly affects health, with the microbiome being a complex community of microorganisms. Different niche preferences of microorganisms raise concerns about the ...

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 ...

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 ...