Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...

This package allows the fitting of multivariate evolutionary models (Ornstein-Uhlenbeck, Brownian motion, Early burst, Shift models) on species trees and time series. It also provides functions to ...

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...

The application of advanced statistical methods in infectious diseases has never been more pertinent than during the recent COVID-19 pandemic. Traditional ...

Raman spectroscopy enables real-time bioreactor monitoring of glucose and lactate without breaching the sterile boundary.

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

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 ...

Abstract ： Rail surface anomaly detection, referring to the process of identifying and localizing abnormal patterns in rail surface images, faces the limitation of robustness because of the large ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Background Comorbidities associated with systemic inflammation including cardiovascular disease (CVD), stroke and diabetes mellitus (DM) are common among individuals with chronic obstructive pulmonary ...

Objectives To develop a score for assessment of patients' symptoms in primary Sjögren's syndrome (SS): the EULAR SS Patient Reported Index (ESSPRI). Methods Dryness, pain, somatic and mental fatigue ...

Background Patellofemoral pain (PFP) has traditionally been viewed as self-limiting, but recent studies show that a large proportion of patients report chronic knee pain at long-term follow-up. We ...