Large Language Models (LLMs) have emerged as powerful tools for interpreting multimodal data (e.g., images, audio, text), often surpassing specialized models. In medicine, they hold particular promise ...

Abstract: The data produced by millions of connected devices and smart sensors in the Industrial Internet of Things (IIoT) is highly dynamic, large-scale, heterogeneous, and time-stamped. These ...

Abstract: Recently, data-driven fault diagnosis techniques, especially multivariate statistical process monitoring methods, have been extensively investigated and widely applied to industries. Whether ...

Clean tax_table such that NAs are replaced with names of the most specific known taxonomy prefixed with the rank. Calculate the unbiased effect size estimation (partial) omega-squared for adonis ...

The multifactor logistic regression analysis indicated that a history of diabetes, low preoperative albumin, and ...

Analyzing thousands of proteins from a single drop of blood is no longer science fiction. High-throughput proteomics has transformed biomarker discovery by enabling simultaneous profiling of thousands ...

India’s Companies Act requires qualifying companies to spend at least two percent of their average net profits on Corporate ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Introduction Psychotic disorders account for significant morbidity and healthcare costs and yet their pathophysiology remains poorly understood. The National Institute for Health and Care Research ...

Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...