Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...

Dr. Slotkin is a neurosurgeon. I recently got called to see a teenager ejected in a rollover car crash. The trauma team rushed him into surgery to stop major abdominal bleeding, but we all knew. When ...

ABSTRACT: This paper investigates the determinants of three-year Treasury Bond yields in the WAEMU region—a maturity frequently used in sovereign debt auctions. The methodological framework combines ...

The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Parents of children with autism often experience unique challenges that can impact their emotional wellbeing. The aim of this study was to validate the Polish adaptation of the Quality of Life in ...

ABSTRACT: Petiveria alliacea is a uterotonic plant that effectively helps resolve uterine contractility abnormalities in traditional medicine. However, scientific knowledge of its diversity remains ...

We independently evaluate all of our recommendations. If you click on links we provide, we may receive compensation. Michael is a former senior editor of investing and trading products for ...

Department of Sustainable Development and Ecological Transition, Università del Piemonte Orientale, Piazza Sant’Eusebio 5, Vercelli 13100, Italy ...

Objective This study aimed to investigate how knee extensor and flexor strength change over time after anterior cruciate ligament reconstruction (ACLR). Design Systematic review with longitudinal meta ...

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...