Personal thermal comfort prediction modeling has become a trending topic in efforts to
improve individual indoor comfort, a notion that is closely related to the design and …

Needle phobia is an overlooked condition that affects virtually all medical procedures. Our
study aimed to identify how commonly needle phobia is experienced, its underlying reasons …

Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …

Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution
system (DWDS) remains challenging. Predicting DBPs using readily available water quality …

In recent years, the application of machine learning (ML) techniques in research on the
prediction of post-traumatic stress disorder (PTSD) has increased. However, concerns …

Background Adverse birth outcomes, including preterm birth, low birth weight, and stillbirth,
remain a major global health challenge, particularly in develo** regions. Understanding …

Per-and polyfluoroalkyl substances (PFASs) are a class of environmental contaminants that
originate from various sources. The unique chemical fingerprints associated with many …

Abstract The use of Electrochemical Impedance Spectroscopy on rechargeable Lithium-ion
battery characterization is an extensively recognized non-destructive procedure for both in …

Introduction and background Pre-MicroRNAs are the hairpin loops from which microRNAs
are produced that have been found to negatively regulate gene expression in several …

Lead propensity prediction is a data-driven method used to define the value of prospects, by
assigning points to them based on their engagement with the business's digital channels …