Using Real-Time Quantitative Data Saturation Analysis to Enhance the Rigor of Qualitative Research: A Decision-Making Perspective. Open Journal of Business and Management, 14, 1921-1929. doi: ...

Tianwen-2 asteroid mission closes to within 20 kilometers of Kamoʻoalewa on July 4, 2026 — China‘s first sample-return probe ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...

At first glance, recent news stories may appear to spell doom for the polling industry. Instead of asking real people for their opinions, some companies are asking artificial intelligence what people ...

Abstract: In the internet age, data generation is rapidly increasing. Artificial intelligence, particularly big data classification technology, is becoming crucial in aiding medical auxiliary ...

Abstract: With the advancement of embodied intelligence technology, continuous-time reinforcement learning (CTRL) in dynamical systems has shown promising potential in various robotic applications and ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

摘要: 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 inadequacy in ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

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 ...