In this work, a deep belief neural network model (DBN) was developed to classify doves, chickens, mice and sheep blood samples, which have many similarities in composition causing their spectra to look almost identica...In this work, a deep belief neural network model (DBN) was developed to classify doves, chickens, mice and sheep blood samples, which have many similarities in composition causing their spectra to look almost identical by visual comparison alone. The DBN model was formulated for the feature extraction from the pretreated fluorescence spectroscopy. Then, cross-validation results showed that the application of deep learning method made it possible to classify the blood fluorescence spectroscopy in a more precise way than previous methods. Especially, the classification accuracy of whole blood with 1% of concentration was up to 97.5%.展开更多
Major depressive disorder(MDD)is a prevalent psychiatric disease that involves malfunctions of different cell types in the brain.Accumulating studies started to reveal that microglia,the primary resident immune cells,...Major depressive disorder(MDD)is a prevalent psychiatric disease that involves malfunctions of different cell types in the brain.Accumulating studies started to reveal that microglia,the primary resident immune cells,play an important role in the development and progression of depression.Microglia respond to stress-triggered neuroinflammation,and through the release of proinflammatory cytokines and their metabolic products,microglia may modulate the function of neurons and astrocytes to regulate depression.In this review,we focused on the role of microglia in the etiology of depression.We discussed the dynamic states of microglia;the correlative and causal evidence of microglial abnormalities in depression;possible mechanisms of how microglia sense depression-related stress and modulate depression state;and how antidepressive therapies affect microglia.Understanding the role of microglia in depression may shed light on developing new treatment strategies to fight against this devastating mental illness.展开更多
文摘In this work, a deep belief neural network model (DBN) was developed to classify doves, chickens, mice and sheep blood samples, which have many similarities in composition causing their spectra to look almost identical by visual comparison alone. The DBN model was formulated for the feature extraction from the pretreated fluorescence spectroscopy. Then, cross-validation results showed that the application of deep learning method made it possible to classify the blood fluorescence spectroscopy in a more precise way than previous methods. Especially, the classification accuracy of whole blood with 1% of concentration was up to 97.5%.
基金supported by the National Natural Science Foundation of China(31830032,81527901,and 31671057)the non-profit Central Research Institute Fund of the Chinese Academy of Medical Sciences(2017PT31038,2018PT31041)+3 种基金the National Key Research and Development Program of China(2016YFA0501000)Key-Area Research and Development Program of Guangdong Province(2018B030334001,2018B030331001)the 111 Project(B13026)the Fountain-Valley Life Sciences Fund of University of Chinese Academy of Sciences Education Foundation and the CAMS Innovation Fund for Medical Sciences(2019-I2M-5-057)。
文摘Major depressive disorder(MDD)is a prevalent psychiatric disease that involves malfunctions of different cell types in the brain.Accumulating studies started to reveal that microglia,the primary resident immune cells,play an important role in the development and progression of depression.Microglia respond to stress-triggered neuroinflammation,and through the release of proinflammatory cytokines and their metabolic products,microglia may modulate the function of neurons and astrocytes to regulate depression.In this review,we focused on the role of microglia in the etiology of depression.We discussed the dynamic states of microglia;the correlative and causal evidence of microglial abnormalities in depression;possible mechanisms of how microglia sense depression-related stress and modulate depression state;and how antidepressive therapies affect microglia.Understanding the role of microglia in depression may shed light on developing new treatment strategies to fight against this devastating mental illness.
