Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Predicting the soil sorption capacity for perfluoroalkyl and polyfluoroalkyl substances (PFAS) is pivotal for environmental risk assessment. However, traditional experimental methods are inefficient, ...

This study develops a machine learning (ML) framework to predict pollutant degradation kinetic constants (k) in persulfate-based advanced oxidation processes (PS-AOP) activated by metal-based ...

And how are companies making use of it? Predictive analysis is a type of data analytics that makes use of artificial intelligence (AI) and machine learning (ML) technologies to make evidence-based ...

What's Cool in Road Cycling Machine Learning Meets the Mountains: Predictive Modeling for Cycling Bets By Sponsored Post On Jul 23, 2025 In a sport where tactics, terrain, weather, and timing all ...

Imagine your utility company monitors thousands of contracts and spots a red flag with Contract No. 32786, which, despite being active for over three years, now shows a concerning 90% chance of debt. ...

A new way Burmese python researchers are learning how snakes affect the Florida Everglades Conservationists have tried everything to catch pythons from using traps, tracking devices, robot bunnies ...

In the evolving landscape of human resource management, making informed promotion decisions is crucial for organizational success. Traditional methods often rely on subjective assessments, leading to ...

Machine learning techniques in pre-clinical research opens opportunity towards a more predictive and efficient drug development. The research work advances machine learning techniques applied to ...