一种基于“最优捕集窗口”设计的全球化空气取水系统

Atmospheric water harvesting(AWH)is a promising solution to the water shortage problem.Current sorption-based AWH(SAWH)systems seldom obtain both wide climatic adaptability and high energy efficiency due to the lack of thermodynamic optimization.To achieve the ideal harvesting circulation in SAWH systems,the“optimal harvesting window”(OHW)design based on thermodynamic analysis was first proposed and validated by our prototype.The“OHW”theory indicates the water production rate and energy efficiency could be improved by properly reducing the adsorption temperature.As the humidity increases,the optimal adsorption temperature should be closer to the dew point of the environment.Experimental results revealed that,loaded with 3 kg widely adopted silica gel,the daily water production could reach 5.76-17.64 L/d with ultrahigh energy efficiency of 0.46-1.5 L/kWh.This prototype could also achieve optimal performance in wide climatic conditions in terms of 13-35℃and 18%-72%RH.Lastly,the performance of photovoltaic(PV)-driven SAWH was evaluated.Results showed that a 1 m^(2)PV panel could generate 0.66-2 L water per day in Shanghai throughout the year,the highest in opening literature.Notably,this work introduces a promising concept that can help achieve large-scale,ultra-fast,energyefficient AWH worldwide.

Independent Component Analysis and Graph Theoretical Analysis in Patients with Narcolepsy

The present study was aimed to evaluate restingstate functional connectivity and topological properties of brain networks in narcolepsy patients compared with healthy controls.Resting-state fMRI was performed in 26 adult narcolepsy patients and 30 matched healthy controls.MRI data were first analyzed by group independent component analysis,then a graph theoretical method was applied to evaluate the topological properties in the whole brain.Small-world network parameters and nodal topological properties were measured.Altered topological properties in brain areas between groups were selected as regionof-interest seeds,then the functional connectivity among these seeds was compared between groups.Partial correlation analysis was performed to evaluate the relationship between the severity of sleepiness and functional connectivity or topological properties in the narcolepsy patients.Twenty-one independent components out of 48 were obtained.Compared with healthy controls,the narcolepsy patients exhibited significantly decreased functional connectivity within the executive and salience networks,along with increased functional connectivity in the bilateral frontal lobes within the executive network.There were no differences in small-world network properties between patients and controls.The altered brain areas in nodal topological properties between groups were mainly in the inferior frontal cortex,basal ganglia,anterior cingulate,sensory cortex,supplementary motor cortex,and visual cortex.In the partial correlation analysis,nodal topological properties in the putamen,anterior cingulate,and sensory cortex as well as functional connectivity between these regions were correlated with the severity of sleepiness(sleep latency,REM sleep latency,and Epworth sleepiness score)among narcolepsy patients.Altered connectivity within the executive and salience networks was found in narcolepsy patients.Functional connection changes between the left frontal cortex and left caudate nucleus may be one of the parameters describing the severity of narcolepsy.Changes in the nodal topological properties in the left putamen and left posterior cingulate,changes in functional connectivity between the left supplementary motor area and right occipital as well as in functional connectivity between the left anterior cingulate gyrus and bilateral postcentral gyrus can be considered as a specific indicator for evaluating the severity of narcolepsy.