Recent advances in estimation techniques have underscored the growing importance of shrinkage estimation and balanced loss functions in the analysis of multivariate normal distributions. These ...

Abstract: Rolling element bearings are crucial key components in rotating machinery, and it is essential to monitor their condition to prevent unexpected breakdown or safety incidents. However, ...

Abstract: A modern batch process can be characterized by a large scale and multiple operation units, and local fault detection for the key units of such a batch process is imperative. A time-slice ...

When I was just beginning my career as a therapist, I came across Allen Frances' 2013 book, Saving Normal. Frances, who chaired the DSM-IV Task Force, argued that psychiatry was losing its grasp on ...

Paper aims Based on challenges faced in real SPC application, this paper considers implementation and performance of self-starting methodology in multivariate process monitoring. Originality ...

Here we provide the implementation of Fully Convolutional Data Description (FCDD), an explainable approach to deep one-class classification. The implementation is based on PyTorch 1.9.1 and Python 3.8 ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Objective To assess prevalence and associated factors of adverse childhood experiences (ACEs) among patients with severe mood disorders (SMDs). Design An institution-based cross-sectional study.

Blood transfusion is an essential therapeutic procedure in pediatrics, often indispensable for child survival. It is required in various clinical situations such as severe anemia, severe malaria, ...

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...