The perception of salty taste is crucial for individuals to make healthy food ***,the brain electrophysiological signals underlying salty taste perception have been poorly *** this study,electroencephalography(EEG)was...
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The perception of salty taste is crucial for individuals to make healthy food ***,the brain electrophysiological signals underlying salty taste perception have been poorly *** this study,electroencephalography(EEG)was used to record brain activity induced by Na Cl solution as a salty taste stimulus.A combination of a custom delivery device and stimulation paradigm was employed to preserve the salty taste signal clearly.A stimulus-response capture method was proposed that could adapt to individual differences in brain responses to salty taste and accurately segment salty taste response *** this method to the EEG processing workflow can form a complete data processing *** results showed that the neural response induced by salty taste reached a high activity level in the initial stage within a short period(0.2 s),and there was a sustained periodic response within 0.75 s after the ***,the salty taste information in the EEG signal was decoded,and discrimination of 2 similar concentrations of salty taste solutions was achieved far above the chance level(average identification rate:89.66%).This study demonstrated experimental paradigms and research methods for understanding salty taste perception,which could provide references for research on other basic tastes.
Food security and population support are fundamentally dependent on agriculture. The agricultural industry, though, must address several issues, such as the need for higher production, effective resource management, a...
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In this study, the utilization of Roboflow's YOLOv8 architecture for crack segmentation is explored, focusing on evaluating the model's performance and readiness for real- world deployment. The methodology inv...
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An entire country's economy, population security, nutrition, and health all depend on its agricultural productivity. In an effort to increase agricultural output, farmers have been adopting new technologies like b...
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VIoT, a Voice and IoT Controlled Unmanned Automated Vehicle (UAV), pioneers a blend of Voice, IoT, and Bluetooth technologies to redefine remote-controlled robotics. Powered by Rock Pi 3a and an Android app, users sea...
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Alzheimer's disease detection and classification using deep learning techniques offer significant advancements in early diagnosis and progression analysis of this neurodegenerative disorder. This approach leverage...
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The widespread popularity and affordability of smart mobile devices provide users with a fantastic interface. However, inherent hardware limitations, encompassing storage, CPU, and power consumption, pose challenges. ...
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In recent years, research combining max pressure (MP) with reinforcement learning for traffic signal control has become a hot topic in the field of intelligent transportation. However, existing MP methods ignore the i...
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Deep learning, a prominent facet of AI, has rapidly reshaped the healthcare landscape by offering swift and accurate data analysis techniques. These methodologies aid medical professionals and caregivers worldwide in ...
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Innovation is the center of the enterprise development, which is the main driving force of enterprises’ competitiveness. To evaluate the enterprises’ innovation ability, we firstly establish an index system which ai...
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Innovation is the center of the enterprise development, which is the main driving force of enterprises’ competitiveness. To evaluate the enterprises’ innovation ability, we firstly establish an index system which aims at analyzing the enterprise innovation ability. We also retrieve the data of the listed companies in Wind database from 2015 to 2019 and label them using factor analysis method. Then, a new deep learning classificational framework with attention mechanism and LSTM is established. The results show that when attention mechanism and LSTM are added into the convolutional neural network(CNN), the model’s prediction performance is better improved, and the accuracy, recall, precision and F-score are 0.914, 0.914, 0.916 and 0.915, respectively. This indicates the strong generalization ability of our new model. Finally, we also find that patents and R &D expenditures are the most important factor affecting the corporate innovation ability through SHapley Additive exPlanations(SHAP). Companies with more patents and R &D expenditures are generally considered to be more innovative.
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