Abstract: We have proposed a time-domain extremum phase shift laser ranging method based on ergodic under-sampling to address the issues of high sampling rate and complex hardware implementation in ...

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 ...

The central Himalayan forests, known as the Earth's vital carbon reservoirs, play a significant role in our global carbon mitigation efforts. A new study delves into these forests to estimate ...

Monitoring is an essential tool for successful management of hardwood rangelands. Over time, it allows landowners and managers to measure the impacts of their management activities on the condition of ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...

Previous studies have established a relationship between duodenal mucosa-associated microbiota and overall health. However, sampling duodenal microbiota is technically challenging. Mucosal biopsies ...

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A direct headspace injection method is presented and optimized for the analysis of ...

Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of ...