Objective:To investigate the effection of Arnebia Root oil on the FGF expression in wound surface and the ability to promote wound surface healing. Methods:24 wound surfaces of patients were divided into two groups....Objective:To investigate the effection of Arnebia Root oil on the FGF expression in wound surface and the ability to promote wound surface healing. Methods:24 wound surfaces of patients were divided into two groups. Experimental group was treated by Arnebia Root oil and the control was treated by petrolatum gauze. Histology, histochemistry, electron microscope methods and healing rate measurement were used to show the FGF expression and wound healing process. Results:Endogenous FGF were expressed in both of the groups, in which of the experimental group was higher than that of the control group, the wound surface healing rate of experimental group was also higher and paralleled with FGF expression. Conclusion:Arnebia Root oil has effects to promote FGF expression and enhances wound surface repair. The wound healing mechanism between the action of Arnebia Root oil and function of FGF need further investigating.展开更多
Lithium-sulfur(Li-S)batteries with high theoretical capacity and energy density need to solve problems such as the high decomposition energy barrier of Li_(2)S and large volume change of sulfur in the charging process...Lithium-sulfur(Li-S)batteries with high theoretical capacity and energy density need to solve problems such as the high decomposition energy barrier of Li_(2)S and large volume change of sulfur in the charging process caused by the shuttle effect before practical application.Herein,a green synthesis method is used to prepare polyacrylic acid(PAA)superabsorbent material,and then the pyrolyzed PAA(P/PAA)material is obtained as the positive electrode of Li-S battery.Density functional calculation reveals that the oxygen self-doping pyrolyzed polyacrylic acid(P/PAA)delivered stronger binding energy toward Li2S species in carbonyl C=O than that of graphite powder(GP)which are-1.58 eV and-1.02 eV,respectively.Coupled with the distribution of relaxation time analysis and the in-situ electrochemical impedance approach,it is further demonstrated that the designed P/PAA as sulfur host plays a physical/chemical adsorption dual function in maintaining the stability and rate performance of batteries.With an initial discharge capacity of 1258 mAh/g at 0.1 C and a minimal capacity decline of 0.05%per cycle even after 800 cycles at 0.5 C,the produced cathode demonstrated outstanding electrochemical performance.The average Coulombic efficiency is nearly 100%.The P/PAA electrodes may typically retain 96%of their capacity while declining on average only 0.033%per cycle after 130 cycles at 3 C.This effort provides a new method for the future development of heteroatomic self-doping superabsorbent with promising adsorption properties for polysulfides as cathode materials of Li-S batteries.展开更多
Nanogenerators were first demonstrated by deflecting aligned ZnO nanowires using a conductive atomic force microscopy(AFM)tip.The output of a nanogenerator is affected by three parameters:tip normal force,tip scanning...Nanogenerators were first demonstrated by deflecting aligned ZnO nanowires using a conductive atomic force microscopy(AFM)tip.The output of a nanogenerator is affected by three parameters:tip normal force,tip scanning speed,and tip abrasion.In this work,systematic experimental studies have been carried out to examine the combined effects of these three parameters on the output,using statistical design of experiments.A statistical model has been built to analyze the data and predict the optimal parameter settings.For an AFM tip of cone angle 70°coated with Pt,and ZnO nanowires with a diameter of 50 nm and lengths of 600 nm to 1μm,the optimized parameters for the nanogenerator were found to be a normal force of 137 nN and scanning speed of 40μm/s,rather than the conventional settings of 120 nN for the normal force and 30μm/s for the scanning speed.A nanogenerator with the optimized settings has three times the average output voltage of one with the conventional settings.展开更多
As the basis of machine vision,the biomimetic image sensing devices are the eyes of artificial intelligence.In recent years,with the development of two-dimensional(2D)materials,many new optoelectronic devices are deve...As the basis of machine vision,the biomimetic image sensing devices are the eyes of artificial intelligence.In recent years,with the development of two-dimensional(2D)materials,many new optoelectronic devices are developed for their outstanding performance.However,there are still little sensing arrays based on 2D materials with high imaging quality,due to the poor uniformity of pixels caused by material defects and fabrication technique.Here,we propose a 2D MoS_(2)sensing array based on artificial neural network(ANN)learning.By equipping the MoS_(2)sensing array with a“brain”(ANN),the imaging quality can be effectively improved.In the test,the relative standard deviation(RSD)between pixels decreased from about 34.3%to 6.2%and 5.49%after adjustment by the back propagation(BP)and Elman neural networks,respectively.The peak signal to noise ratio(PSNR)and structural similarity(SSIM)of the image are improved by about 2.5 times,which realizes the re-recognition of the distorted image.This provides a feasible approach for the application of 2D sensing array by integrating ANN to achieve high quality imaging.展开更多
文摘Objective:To investigate the effection of Arnebia Root oil on the FGF expression in wound surface and the ability to promote wound surface healing. Methods:24 wound surfaces of patients were divided into two groups. Experimental group was treated by Arnebia Root oil and the control was treated by petrolatum gauze. Histology, histochemistry, electron microscope methods and healing rate measurement were used to show the FGF expression and wound healing process. Results:Endogenous FGF were expressed in both of the groups, in which of the experimental group was higher than that of the control group, the wound surface healing rate of experimental group was also higher and paralleled with FGF expression. Conclusion:Arnebia Root oil has effects to promote FGF expression and enhances wound surface repair. The wound healing mechanism between the action of Arnebia Root oil and function of FGF need further investigating.
基金the financial support of the National Natural Science Foundation of China(Nos.22271106,21501175 and 2227518)the Natural Science Foundation of Fujian Province(No.2022Y0071)the Leading Project Foundation of Science Department of Fujian Province(No.2023H0045)。
文摘Lithium-sulfur(Li-S)batteries with high theoretical capacity and energy density need to solve problems such as the high decomposition energy barrier of Li_(2)S and large volume change of sulfur in the charging process caused by the shuttle effect before practical application.Herein,a green synthesis method is used to prepare polyacrylic acid(PAA)superabsorbent material,and then the pyrolyzed PAA(P/PAA)material is obtained as the positive electrode of Li-S battery.Density functional calculation reveals that the oxygen self-doping pyrolyzed polyacrylic acid(P/PAA)delivered stronger binding energy toward Li2S species in carbonyl C=O than that of graphite powder(GP)which are-1.58 eV and-1.02 eV,respectively.Coupled with the distribution of relaxation time analysis and the in-situ electrochemical impedance approach,it is further demonstrated that the designed P/PAA as sulfur host plays a physical/chemical adsorption dual function in maintaining the stability and rate performance of batteries.With an initial discharge capacity of 1258 mAh/g at 0.1 C and a minimal capacity decline of 0.05%per cycle even after 800 cycles at 0.5 C,the produced cathode demonstrated outstanding electrochemical performance.The average Coulombic efficiency is nearly 100%.The P/PAA electrodes may typically retain 96%of their capacity while declining on average only 0.033%per cycle after 130 cycles at 3 C.This effort provides a new method for the future development of heteroatomic self-doping superabsorbent with promising adsorption properties for polysulfides as cathode materials of Li-S batteries.
基金This research was supported by the Basic Energy Science,U.S.Department of Energy(BES DOE)(No.DE-FG02-07ER46394)the National Science Foundation(NSF)(Nos.DMS0706436,CMMI 0403671)。
文摘Nanogenerators were first demonstrated by deflecting aligned ZnO nanowires using a conductive atomic force microscopy(AFM)tip.The output of a nanogenerator is affected by three parameters:tip normal force,tip scanning speed,and tip abrasion.In this work,systematic experimental studies have been carried out to examine the combined effects of these three parameters on the output,using statistical design of experiments.A statistical model has been built to analyze the data and predict the optimal parameter settings.For an AFM tip of cone angle 70°coated with Pt,and ZnO nanowires with a diameter of 50 nm and lengths of 600 nm to 1μm,the optimized parameters for the nanogenerator were found to be a normal force of 137 nN and scanning speed of 40μm/s,rather than the conventional settings of 120 nN for the normal force and 30μm/s for the scanning speed.A nanogenerator with the optimized settings has three times the average output voltage of one with the conventional settings.
基金This project was financially supported by the Dalian Science and Technology Innovation Fund of China(No.2019J11CY011)the Science Fund for Creative Research Groups of NSFC(No.51621064).
文摘As the basis of machine vision,the biomimetic image sensing devices are the eyes of artificial intelligence.In recent years,with the development of two-dimensional(2D)materials,many new optoelectronic devices are developed for their outstanding performance.However,there are still little sensing arrays based on 2D materials with high imaging quality,due to the poor uniformity of pixels caused by material defects and fabrication technique.Here,we propose a 2D MoS_(2)sensing array based on artificial neural network(ANN)learning.By equipping the MoS_(2)sensing array with a“brain”(ANN),the imaging quality can be effectively improved.In the test,the relative standard deviation(RSD)between pixels decreased from about 34.3%to 6.2%and 5.49%after adjustment by the back propagation(BP)and Elman neural networks,respectively.The peak signal to noise ratio(PSNR)and structural similarity(SSIM)of the image are improved by about 2.5 times,which realizes the re-recognition of the distorted image.This provides a feasible approach for the application of 2D sensing array by integrating ANN to achieve high quality imaging.