Alcoholism is an unhealthy lifestyle associated with alcohol dependence.Not only does drinking for a long time leads to poor mental health and loss of self-control,but alcohol seeps into the bloodstream and shortens t...Alcoholism is an unhealthy lifestyle associated with alcohol dependence.Not only does drinking for a long time leads to poor mental health and loss of self-control,but alcohol seeps into the bloodstream and shortens the lifespan of the body’s internal organs.Alcoholics often think of alcohol as an everyday drink and see it as a way to reduce stress in their lives because they cannot see the damage in their bodies and they believe it does not affect their physical health.As their drinking increases,they become dependent on alcohol and it affects their daily lives.Therefore,it is important to recognize the dangers of alcohol abuse and to stop drinking as soon as possible.To assist physicians in the diagnosis of patients with alcoholism,we provide a novel alcohol detection system by extracting image features of wavelet energy entropy from magnetic resonance imaging(MRI)combined with a linear regression classifier.Compared with the latest method,the 10-fold cross-validation experiment showed excellent results,including sensitivity 91.54±1.47%,specificity 93.66±1.34%,Precision 93.45±1.27%,accuracy 92.61±0.81%,F1 score 92.48±0.83%and MCC 85.26±1.62%.展开更多
In order to fulfill the urgent requirements of functional products,circuit integration of different functional devices are commonly utilized.Thus,issues including production cycle,cost,and circuit crosstalk will get s...In order to fulfill the urgent requirements of functional products,circuit integration of different functional devices are commonly utilized.Thus,issues including production cycle,cost,and circuit crosstalk will get serious.Neuromorphic computing aims to break through the bottle neck of von Neumann architectures.Electronic devices with multi-operation modes,especially neuromorphic devices with multi-mode cognitive activities,would provide interesting solutions.Here,pectin/chitosan hybrid electrolyte gated oxide neuromorphic transistor was fabricated.With extremely strong proton related interfacial electric-double-layer coupling,the device can operate at low voltage of below 1 V.The device can also operate at multi-operation mode,including bottom gate mode,coplanar gate and pseudo-diode mode.Interestingly,the artificial synapse can work at low voltage of only 1 mV,exhibiting extremely low energy consumption of~7.8 fJ,good signal-to-noise ratio of~229.6 and sensitivity of~23.6 dB.Both inhibitory and excitatory synaptic responses were mimicked on the pseudo-diode,demonstrating spike rate dependent plasticity activities.Remarkably,a linear classifier is proposed on the oxide neuromorphic transistor under synaptic metaplasticity mechanism.These results suggest great potentials of the oxide neuromorphic devices with multi-mode cognitive activities in neuromorphic platform.展开更多
基金This research was supported by Zhejiang Provincial Natural Science Foundation of China under Grant No.LY17F010003.
文摘Alcoholism is an unhealthy lifestyle associated with alcohol dependence.Not only does drinking for a long time leads to poor mental health and loss of self-control,but alcohol seeps into the bloodstream and shortens the lifespan of the body’s internal organs.Alcoholics often think of alcohol as an everyday drink and see it as a way to reduce stress in their lives because they cannot see the damage in their bodies and they believe it does not affect their physical health.As their drinking increases,they become dependent on alcohol and it affects their daily lives.Therefore,it is important to recognize the dangers of alcohol abuse and to stop drinking as soon as possible.To assist physicians in the diagnosis of patients with alcoholism,we provide a novel alcohol detection system by extracting image features of wavelet energy entropy from magnetic resonance imaging(MRI)combined with a linear regression classifier.Compared with the latest method,the 10-fold cross-validation experiment showed excellent results,including sensitivity 91.54±1.47%,specificity 93.66±1.34%,Precision 93.45±1.27%,accuracy 92.61±0.81%,F1 score 92.48±0.83%and MCC 85.26±1.62%.
基金supported by the National Natural Science Foundation of China(Nos.51972316 and U22A2075)Ningbo Key Scientific and Technological Project(No.2021Z116).
文摘In order to fulfill the urgent requirements of functional products,circuit integration of different functional devices are commonly utilized.Thus,issues including production cycle,cost,and circuit crosstalk will get serious.Neuromorphic computing aims to break through the bottle neck of von Neumann architectures.Electronic devices with multi-operation modes,especially neuromorphic devices with multi-mode cognitive activities,would provide interesting solutions.Here,pectin/chitosan hybrid electrolyte gated oxide neuromorphic transistor was fabricated.With extremely strong proton related interfacial electric-double-layer coupling,the device can operate at low voltage of below 1 V.The device can also operate at multi-operation mode,including bottom gate mode,coplanar gate and pseudo-diode mode.Interestingly,the artificial synapse can work at low voltage of only 1 mV,exhibiting extremely low energy consumption of~7.8 fJ,good signal-to-noise ratio of~229.6 and sensitivity of~23.6 dB.Both inhibitory and excitatory synaptic responses were mimicked on the pseudo-diode,demonstrating spike rate dependent plasticity activities.Remarkably,a linear classifier is proposed on the oxide neuromorphic transistor under synaptic metaplasticity mechanism.These results suggest great potentials of the oxide neuromorphic devices with multi-mode cognitive activities in neuromorphic platform.
