作者: 岱恩小编 2023.03.15 16:21
According to a new study, taking a long walk in nature may help to reduce anxiety and improve mood. The study, conducted by researchers from the University of Michigan, found that participants who took a 90-minute walk in a natural setting reported lower levels of rumination and showed reduced neural ACTivity in the brain regions associated with mental illness compared to those who took a similar walk in an urban setting.
The researchers suggest that the findings could have important implications for treating individuals with depression and anxiety disorders. However, they caution that further research is needed to confirm these preliminary findings and to determine the optimal duration and frequency of nature walks required to achieve therapeutic benefits.
What is the main finding of the study conducted by researchers from the University of Michigan?
A. Taking a walk in nature can help to reduce anxiety and improve mood.
B. Taking a walk in an urban setting is associated with mental illness.
C. Taking a 90-minute walk is the optimal duration for reducing rumination.
D. Further research is needed to determine the optimal frequency of nature walks.
What is rumination?
A. A type of plant found in natural settings.
B. A mental state charACTerized by excessive thinking or worrying.
C. A brain region associated with mental illness.
D. A type of anxiety disorder.
In the field of artificial intelligence (AI), machine learning is a technique that allows computers to learn from data and improve their performance on a specific task over time. One popular approach to machine learning is deep learning, which involves the use of artificial neural networks to simulate the workings of the human brain.
Deep learning has become increasingly important in recent years, as it has been used to achieve breakthroughs in a variety of fields, such as natural language processing, image recognition, and speech recognition. However, deep learning models are often criticized for their "black box" nature, as it can be difficult to understand how they arrive at their decisions.
To address this issue, researchers are working on developing methods to make deep learning models more transparent and interpretable. This could have important implications for fields such as healthcare, where it is crucial to understand the reasoning behind decisions made by AI systems.
What is machine learning?
A. A technique that allows computers to learn from data and improve their performance over time.
B. A type of deep learning that simulates the workings of the human brain.
C. A field of study that focuses on the development of artificial neural networks.
D. A method for achieving breakthroughs in natural language processing.
What is the main criticism of deep learning models?
A. They are too simple and cannot achieve breakthroughs in complex tasks.
B. They are too expensive and require specialized hardware to run.
C. They are too difficult to understand and interpret.
D. They are not effective in fields such as healthcare.