The Effect of Baroreflex Function on Blood Pressure Variability

Objective: The aim of this study was to assess the relationship of blood pressure variability (BPV) and heart rate variability (HRV) to investigate the effect of baroreflex function on blood pressure variability. Methods: This study consisted of 111 subjects, including 32 normotensives and 79 hypertensives. All the subjects were given two concurrent tests: 24-hour Holter ECG and ambulatory blood pressure monitoring. According to standard deviation of normal-to-normal sinus RR intervals (SDNN) derived from the Holter ECG, the hypertensives were divided into two groups: an HRV normal group with SDNN > 100 ms and an HRV abnormal group with

Composite Eu-MOF@CQDs“off&on”ratiometric luminescent probe for highly sensitive chiral detection of l-lysine and 2-methoxybenzaldehyde

The high amount of l-lysine can increase the potential risk of cardiovascular disease.Additionally,2-methoxy benzaldehyde(2-MB)has high toxicity and can easily pollute the environment.In this work,carbon quantum dots(CQDs)can be encapsulated into Eu-BTB(H_(3)BTB=1,3,5-tri(4-carboxyphenyl)benzene),forming the multi-emission composite material Eu-BTB@CQDs.It has two emissions peaks(617 nm for Eu and 470 nm for CQDs).Eu-BTB@CQDs can be applied as bi-functional ratiometric“off&on”luminescent sensor for l-lysine and 2-MB with high sensitivity and selectivity,the low limit of detection(LOD)for l-lysine is 3.68μmol/L and for 2-MB is 0.54μmol/L,respectively.Additionally,Eu-BTB@CQDs can quantitatively discriminate l-lysine in the mixed d-and l-lysine water solutions(five different concentrations ratio of l/d-lysine has been set)makes the chiral detection of l-lysine are more meaningful.On the other hand,Eu-BTB@CQDs also can detect 2-MB over 4-methoxybenzaldehyde(4-MB)with high selectivity.Further the detection of 2-MB and l-lysine in the lake water real samples with the reasonable recovery rate.Finally,the detection mechanisms for l-lysine and 2-MB were also investigated and discussed in detail.

Research on a soft-measurement model of gasification temperature based on recurrent neural network

Gasification temperature measurement is one of the most challenging tasks in an entrained-flow gasifier and often requires indirect calculation using the soft-sensor method,a parameter prediction method using other parameters that are more easily measurable and using correlation equations that are widely accepted in the gasification field for the temperature data.Machine learning is a non-linear prediction method that can adequately act as a soft sensor.Furthermore,the recurrent neural network(RNN)has the function of memorization,which makes it capable of learning how to deal with temporal order.In this paper,the oxygen-coal ratio,CH_(4)content and CO_(2)content determined through the process analysis of a 3000-t/d coal-water slurry gasifier are used as input parameters for the soft sensor of the gasification temperature.The RNN model and back propagation(BP)neural network model are then established with training-set data from gasification results.Compared with prediction set data from the gasification results,the RNN model is found to be much better than the BP neural network based on important indexes such as the mean square error(MSE),mean absolute error(MAE)and standard deviation(SD).The results show that the MSE of the prediction set of the RNN model is 6.25℃,the MAE is 10.33℃and the SD is 3.88℃,respectively.The overall accuracy,the average accuracy and the stability effects are well within the accepted ranges for the results as such.

Experimental study on dense-phase pneumatic conveying of coal powder at high pressures

Clean utilization and conversion of coal resources is significant to China’s energy sustainable development.Entrained-flow coal gasification technology is an important method used for clean and efficient conversion of coal.The characteristics and stability of high-pressure dense-phase pneumatic conveying of pulverized coal is crucial to the safe and stable operation of dry-feed entrained-flow coal gasifiers.Dense-phase pneumatic conveying experiments were carried out using a high-volatile bituminous coal in pipes with diameters of 25,15 and 10 mm,respectively,and at back pressures of 1.0-4.0 MPag.The conveying characteristics and effects of operating and structure parameters were studied.Pressure drop models were established for horizontal and vertical upward conveying.The prediction uncertainty was within±30%for the horizontal conveying and±20%for the vertical upward conveying.The relative standard deviation of solid flow rate was proposed to explain conveying stability.The effect of operating parameters on conveying stability was systematically analyzed.The gas velocity-related criterion was proposed for stable conveying.

A novel composite coating mesh film for oil-water separation

Polytetrafluoroethylene-polyphenylene sulfide composite coating meshfilm was successfully prepared by a simple layered transitional spray-plasticizing method on a stainless steel mesh.It shows super-hydrophobic and super-oleophilic properties.The contact angle of this meshfilm is 156.3°for water,and close to 0°for diesel oil and kerosene.The contact angle hysteresis of water on the meshfilm is 4.3°.The adhesive force between thefilm and substrate is grade 0,theflexibility is 1 mm and the pencil hardness is 4H.An oil-water separation test was car-ried out for oil-contaminated water in a six-stage super-hydrophobicfilm separator.The oil removal rate can reach about 99%.