The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
2dOpinion
The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself
Automating knowledge production and teaching weakens the ecosystem of students and scholars that sustains universities, ...
Abstract: Major problems in the 21st century are mental health care problems. It can be considered as one of its important evils between men, and its source is in the largeness of awareness among the ...
Abstract: Most machine learning methods need abundant training and testing datasets to perform well. In reality, data may be limited due to time constraints or other practical reasons. In such ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
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