Fuel cell stacks as the automotive power source can be severely poisoned by a trace amount of NOx in atmosphere,which makes it necessary to provide clean air for fuel cell vehicles.In this work,activating commercial a...Fuel cell stacks as the automotive power source can be severely poisoned by a trace amount of NOx in atmosphere,which makes it necessary to provide clean air for fuel cell vehicles.In this work,activating commercial activated carbons with K2CO3 for the large enhancement of NO capture was studied.K2CO3 modified activated carbons(K2CO3 ACs)were prepared by impregnating activate carbons in K2CO3 solution under ultrasound treatment,followed by temperature programmed baking at 800 oC.The dynamic NO flow tests on K2CO3 ACs at room temperature indicated that NO adsorption capacity reached the maximum(96 mg/g)when K2CO3 loading was 19.5 wt%,which corresponded to a specific surface area of 1196.1 m2/g and total pore volume of 0.70 cm3/g.The ten-fold enhancement of NO adsorption on K2CO3 ACs compared to the unimpregnated activated carbon was mainly attributed to the formation of potassium nitrite,which was confirmed by FTIR and temperature programmed desorption measurements.Regeneration tests of NO adsorption on the optimum sample revealed that 76%of the NO adsorption capacity could be remained after the fourth cycle.展开更多
Background:Thimerosal is a mercury-containing preservative widely used in vaccines.This study aimed to investigate its potential antitumor effects and mechanisms in solid malignancies,particularly colorectal cancer(CR...Background:Thimerosal is a mercury-containing preservative widely used in vaccines.This study aimed to investigate its potential antitumor effects and mechanisms in solid malignancies,particularly colorectal cancer(CRC)and melanoma.Methods:A combination of in vitro and in vivo approaches was employed.Cell proliferation,apoptosis,migration,and invasion were assessed using Cell Counting Kit-8(CCK-8),colony formation,ATP viability,Western blotting,flow cytometry,wound-healing and Transwell assays.Subcutaneous,lung metastases,and Azoxymethane/Dextran Sulfate Sodium Salt(AOM/DSS)-induced colitis-associated CRC models were established to examine antitumor efficacy and safety.The functional role of mercury ions was validated using structural analogues.Mechanistic studies included RNA sequencing,Western blot,and immunohistochemical analysis of CD8^(+)T cell infiltration.The synergistic effect with programmed cell death protein 1(PD-1)antibody therapy was also evaluated.Results:Thimerosal potently inhibited tumor growth(with IC50 values ranging from 0.1 to 1μM in vitro)and significantly prolonged survival without overt toxicity in vivo.Mechanistically,mercury ions were identified as critical functional sites mediating Thimerosal’s antitumor effects.Specifically,Thimerosal inhibited the phosphorylation of Janus kinase 1(JAK1)and signal transducer and activator of transcription 3(STAT3).Furthermore,it enhanced the infiltration of CD8^(+)T cells into the tumor microenvironment and synergistically augmented the efficacy of anti-PD-1 therapy.Conclusion:Thimerosal exerts dual antitumor roles by direct JAK1/STAT3 inhibition and immune modulation via CD8^(+)T cell recruitment.It represents a promising repurposed drug and immunotherapeutic adjuvant for CRC and melanoma.展开更多
A special recurrent neural network(RNN),that is the zeroing neural network(ZNN),is adopted to find solutions to time-varying quadratic programming(TVQP)problems with equality and inequality constraints.Howevet,there a...A special recurrent neural network(RNN),that is the zeroing neural network(ZNN),is adopted to find solutions to time-varying quadratic programming(TVQP)problems with equality and inequality constraints.Howevet,there are some weaknesses in activation functions of traditional ZNN models,including convex restriction and redundant formulation.With the aid of different activation functions,modified ZNN models are obtained to overcome the drawbacks for solving TVQP problems.Theoretical and experimental research indicate that the proposed models are better and more effective at solving such TVQP problems.展开更多
The aim of this work is to develop an improved region based active contour and dynamic programming based method for accurate segmentation of left ventricle （LV） from multi-slice cine short axis cardiac magnetic reso...The aim of this work is to develop an improved region based active contour and dynamic programming based method for accurate segmentation of left ventricle （LV） from multi-slice cine short axis cardiac magnetic resonance （MR） images. Intensity inhomogeneity and weak object boundaries present in MR images hinder the segmentation accuracy. The proposed active contour model driven by a local Gaussian distribution fitting （LGDF） energy and an auxiliary global intensity fitting energy improves the accuracy of endocardial boundary detection. The weightage of the global energy fitting term is dynamically adjusted using a spatially varying weight function. Dynamic programming scheme proposed for the segmentation of epicardium considers the myocardium probability map and a distance weighted edge map in the cost matrix. Radial distance weighted technique and conical geometry are employed for segmenting the basal slices with left ventricle outflow tract （LVOT） and most apical slices. The proposed method is validated on a public dataset comprising 45 subjects from medical image computing and computer assisted interventions （MICCAI） 2009 segmentation challenge. The average percentage of good endocardial and epicardial contours detected is about 99%, average perpendicular distance of the detected good contours from the manual reference contours is 1.95 mm, and the dice similarity coefficient between the detected contours and the reference contours is 0.91. Correlation coefficient and the coefficient of determination between the ejection fraction measurements from manual segmentation and the automated method are respectively 0.9781 and 0.9567, for LV mass these values are 0.9249 and 0.8554. Statistical analysis of the results reveals a good agreement between the clinical parameters determined manually and those estimated using the automated method.展开更多
基金Project(2018YFB0105303)supported by the Ministry of Science and Technology of ChinaProject(17DZ1200702)supported by the Shanghai Science and Technology Committee,China
文摘Fuel cell stacks as the automotive power source can be severely poisoned by a trace amount of NOx in atmosphere,which makes it necessary to provide clean air for fuel cell vehicles.In this work,activating commercial activated carbons with K2CO3 for the large enhancement of NO capture was studied.K2CO3 modified activated carbons(K2CO3 ACs)were prepared by impregnating activate carbons in K2CO3 solution under ultrasound treatment,followed by temperature programmed baking at 800 oC.The dynamic NO flow tests on K2CO3 ACs at room temperature indicated that NO adsorption capacity reached the maximum(96 mg/g)when K2CO3 loading was 19.5 wt%,which corresponded to a specific surface area of 1196.1 m2/g and total pore volume of 0.70 cm3/g.The ten-fold enhancement of NO adsorption on K2CO3 ACs compared to the unimpregnated activated carbon was mainly attributed to the formation of potassium nitrite,which was confirmed by FTIR and temperature programmed desorption measurements.Regeneration tests of NO adsorption on the optimum sample revealed that 76%of the NO adsorption capacity could be remained after the fourth cycle.
基金supported by the National Natural Science Foundation of China(82441036)Ganzhou Municipal Science and Technology Project(2022-RC1342)+3 种基金Guangdong Basic and Applied Basic Research Foundation(2022B1515130004)Key-Area Research and Development Program of Guangdong Province(2019B020234003)Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer(2020B121201004)Open Project Fund Project of Guangdong Academy of Medical Sciences(YKY-KF202210).
文摘Background:Thimerosal is a mercury-containing preservative widely used in vaccines.This study aimed to investigate its potential antitumor effects and mechanisms in solid malignancies,particularly colorectal cancer(CRC)and melanoma.Methods:A combination of in vitro and in vivo approaches was employed.Cell proliferation,apoptosis,migration,and invasion were assessed using Cell Counting Kit-8(CCK-8),colony formation,ATP viability,Western blotting,flow cytometry,wound-healing and Transwell assays.Subcutaneous,lung metastases,and Azoxymethane/Dextran Sulfate Sodium Salt(AOM/DSS)-induced colitis-associated CRC models were established to examine antitumor efficacy and safety.The functional role of mercury ions was validated using structural analogues.Mechanistic studies included RNA sequencing,Western blot,and immunohistochemical analysis of CD8^(+)T cell infiltration.The synergistic effect with programmed cell death protein 1(PD-1)antibody therapy was also evaluated.Results:Thimerosal potently inhibited tumor growth(with IC50 values ranging from 0.1 to 1μM in vitro)and significantly prolonged survival without overt toxicity in vivo.Mechanistically,mercury ions were identified as critical functional sites mediating Thimerosal’s antitumor effects.Specifically,Thimerosal inhibited the phosphorylation of Janus kinase 1(JAK1)and signal transducer and activator of transcription 3(STAT3).Furthermore,it enhanced the infiltration of CD8^(+)T cells into the tumor microenvironment and synergistically augmented the efficacy of anti-PD-1 therapy.Conclusion:Thimerosal exerts dual antitumor roles by direct JAK1/STAT3 inhibition and immune modulation via CD8^(+)T cell recruitment.It represents a promising repurposed drug and immunotherapeutic adjuvant for CRC and melanoma.
基金National Key Research and Development Programof China,Grant/Award Number:2017YFE0118900HHuawci Mindspore Academic Award Fund ofChinese Association of Artificial Intelligence,Grant/Award Number:CAALXSJLJ-2020-009A+5 种基金NaturalScience Foundation of Qinghai Province,China,Grant/Awad Number:2020-ZJ-903NaturalScience Foundation of Gansu Province,China,Grant/Award Number:20JR10RA639NaturalScience Foundation of Chongqing(China),Grant/Award Nurnber:cstc2020jcyj-zdxmX0028Researchand Development Foundation of Nanchong(China),Grant/Award Number:20YFZJ0018ChongqingKey Laboratory of Mobile CornrnunicationsTechnology,Grant/Award Nunber:cqupt-mct-202004Fundamental Research Funds for the Central Universities,Grant/Award Nurrber:lzujbky-2019-89.
文摘A special recurrent neural network(RNN),that is the zeroing neural network(ZNN),is adopted to find solutions to time-varying quadratic programming(TVQP)problems with equality and inequality constraints.Howevet,there are some weaknesses in activation functions of traditional ZNN models,including convex restriction and redundant formulation.With the aid of different activation functions,modified ZNN models are obtained to overcome the drawbacks for solving TVQP problems.Theoretical and experimental research indicate that the proposed models are better and more effective at solving such TVQP problems.
基金supported by Department of Science and Technology, Ministry of Science and Technology, India (No. DST/TSG/ICT/2010/08)
文摘The aim of this work is to develop an improved region based active contour and dynamic programming based method for accurate segmentation of left ventricle （LV） from multi-slice cine short axis cardiac magnetic resonance （MR） images. Intensity inhomogeneity and weak object boundaries present in MR images hinder the segmentation accuracy. The proposed active contour model driven by a local Gaussian distribution fitting （LGDF） energy and an auxiliary global intensity fitting energy improves the accuracy of endocardial boundary detection. The weightage of the global energy fitting term is dynamically adjusted using a spatially varying weight function. Dynamic programming scheme proposed for the segmentation of epicardium considers the myocardium probability map and a distance weighted edge map in the cost matrix. Radial distance weighted technique and conical geometry are employed for segmenting the basal slices with left ventricle outflow tract （LVOT） and most apical slices. The proposed method is validated on a public dataset comprising 45 subjects from medical image computing and computer assisted interventions （MICCAI） 2009 segmentation challenge. The average percentage of good endocardial and epicardial contours detected is about 99%, average perpendicular distance of the detected good contours from the manual reference contours is 1.95 mm, and the dice similarity coefficient between the detected contours and the reference contours is 0.91. Correlation coefficient and the coefficient of determination between the ejection fraction measurements from manual segmentation and the automated method are respectively 0.9781 and 0.9567, for LV mass these values are 0.9249 and 0.8554. Statistical analysis of the results reveals a good agreement between the clinical parameters determined manually and those estimated using the automated method.
