The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Scientists in Japan have developed a model that predicts surplus PV generation and creates a route for optimized charging of ...

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

Background The evidence on associations between ultra-processed foods (UPF) and lung cancer risk is limited and inconsistent.

Optimizing concrete with recycled shea nutshell ash using the Box-Behnken design, this study enhances performance metrics ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

A 20% increased risk of all-cause dementia was observed among individuals with regular opioid use compared to non-users.

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Nature is marked not only by struggles for survival, but also by remarkable feats of cooperation. From microbes to insects to humans, organisms work together in a variety of ways to gather and share ...

This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The wind power ...

Objectives This study aimed to assess the current status and influencing factors of emotional labour among psychiatric nurses in China, with the goal of informing managerial intervention strategies.