As medical imaging continues to expand, concerns about the potential risks of ionizing radiation to the developing fetus have led to a preference for non-radiation-based alternatives such as ultrasonography and fetal MRI.This review examines the current evidence on the safety of MRI during pregnancy, with a focus on 3 T MRI and contrast agents, aim
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence
Historically, neuroscience principles have heavily influenced artificial intelligence (AI), for example the influence of the perceptron model, essentially a simple model of a biological neuron, on artificial neural networks.More recently, notable recent AI advances, for example the growing popularity of reinforcement learning, often appear toys mor
Risk Recognition Policies for the Long-Term Care Workforce during the First Year of the COVID-19 Pandemic: A Multi-Country Study
Context: The precarious work Everything Else arrangements experienced by many long-term care workers have led to the creation of a “shared” workforce across residential, home, and community aging care sectors.This shared workforce was identified as a contributor to the spread of COVID-19 early in the pandemic.Objective: This analysis sought to
Physical exercise and liver “fitness”: Role of mitochondrial function and epigenetics-related mechanisms in non-alcoholic fatty liver disease
Background: Modern lifestyles, especially high-caloric intake and physical inactivity, contribute to the increased prevalence of non-alcoholic fatty liver disease (NAFLD), which becomes a significant health problem worldwide.Lifestyle changes, however, affect not only parental generation, but also their offspring, reinforcing the need for efficient
BiLSTM Model With Attention Mechanism for Sentiment Classification on Chinese Mixed Text Comments
Sentiment classification has become a significant research topic in natural language processing.As the most popular research method of sentiment classification, deep learning has been applied to various experimental datasets by numerous scholars.However, sentiment classification suffers from a number of drawbacks including poor effect and insuffici