This study introduces a novel convolutional neural network,the WISE Galaxy Classification Network(WGC),for classifying spiral and elliptical galaxies using Wide-field Infrared Survey Explorer(WISE)images.WGC attains a...This study introduces a novel convolutional neural network,the WISE Galaxy Classification Network(WGC),for classifying spiral and elliptical galaxies using Wide-field Infrared Survey Explorer(WISE)images.WGC attains an accuracy of 89.03%,surpassing the combined use of K-means or SVM with the Color-Color method in more accurately identifying galaxy morphologies.The enhanced variant,WGC_mag,integrates magnitude parameters with image features,further boosting the accuracy to 89.89%.The research also delves into the criteria for galaxy classification,discovering that WGC primarily categorizes dust-rich images as elliptical galaxies,corresponding to their lower star formation rates,and classifies less dusty images as spiral galaxies.The paper explores the consistency and complementarity of WISE infrared images with SDSS optical images in galaxy morphology classification.The SDSS Galaxy Classification Network(SGC),trained on SDSS images,achieved an accuracy of 94.64%.The accuracy reached 99.30% when predictions from SGC and WGC were consistent.Leveraging the complementarity of features in WISE and SDSS images,a novel variant of a classifier,namely the Multi-band Galaxy Morphology Integrated Classifier,has been developed.This classifier elevates the overall prediction accuracy to 95.39%.Lastly,the versatility of WGC was validated in other data sets.On the HyperLEDA data set,the distinction between elliptical galaxies and Sc,Scd and Sd spiral galaxies was most pronounced,achieving an accuracy of 90%,surpassing the classification results of the Galaxy Zoo 2 labeled WISE data set.This research not only demonstrates the effectiveness of WISE images in galaxy morphology classification but also represents an attempt to integrate multi-band astronomical data to enhance understanding of galaxy structures and evolution.展开更多
Resveratrol(RSV),as a functional food component extracted from natural plants,has been widely studied and recognized in preventing and treating various diseases,with major mechanisms including executing anti-inflammat...Resveratrol(RSV),as a functional food component extracted from natural plants,has been widely studied and recognized in preventing and treating various diseases,with major mechanisms including executing anti-inflammation and anti-oxidation functions,and improving mitochondrial quality.Chronic diseases as non-communicable diseases are mainly caused by multiple factors,such as physiological decline and dysfunction in the body,and have become a significant challenge on public health worldwide.It is worth noting that chronic diseases such as Alzheimer's disease(AD),Parkinson's disease(PD),muscle atrophy,cardiovascular disease,obesity,and cancer are accompanied by abnormal mitochondrial function.Therefore,targeted regulation of mitochondria may be a meaningful way to prevent and treat chronic diseases.Increasing evidence has confirmed that RSV is actively involved in regulating mitochondria,and it has become an essential consideration to prevent and treat chronic diseases through targeting mitochondria and improving corresponding functions.In this article,current studies on RSV to optimize mitochondrial quality for preventing and alleviating chronic disease are systematically summarized,which can provide a theoretical reference for the development of functional foods or drugs to combat chronic diseases.展开更多
Cymbidium goeringii is an economically important ornamental plant,and flower color is one of the main features of C.goeringii that contributes to its high economic value.To clarify the molecular mechanisms underlying ...Cymbidium goeringii is an economically important ornamental plant,and flower color is one of the main features of C.goeringii that contributes to its high economic value.To clarify the molecular mechanisms underlying the role of anthocyanins in mediating differences in color among varieties,liquid chromatography–tandem mass spectrometry was used to perform anthocyanin-targeted metabolomics of seven C.goeringii varieties,including‘Jin Qian Yuan’(JQY),‘Jin Xiu Qian Yuan’(JXQY),‘Miao Jiang Su Die’(MJSD),‘Qian Ming Su’(QMS),‘Shi Chan’(SC),and‘Yang Ming Su’(YMS),as well as the C.goeringii.We detected 64 anthocyanins,including cyanidins,delphinidins,malvidins,pelargonidins,peonidins,petunidins,procyanidins,and flavonoids.We identified six shared differentially accumulated metabolites(DAMs),including cyanidin-3-O-rutinoside,delphinidin-3-Osophoroside,pelargonidin-3-O-rutinoside,peonidin-3-O-(6-O-malonyl-beta-D-glucoside),peonidin-3-Osophoroside,and chalcone.Most DAMs were enriched in the anthocyanin biosynthesis pathway.Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the differentially expressed metabolites were significantly enriched in the anthocyanin biosynthesis pathway.Analysis of the content of differentially expressed metabolites indicated that peonidin-3-O-(6-O-malonyl-beta-D-glucoside)was the key metabolite underlying color differences among C.goeringii varieties.Procyanidin B2,pelargonidin-3-O-galactoside,and naringenin might also affect the color formation of JQY and QMS,SC,and MJSD,respectively.The results of this study shed light on the metabolic mechanism underlying flower color differences in C.goeringii at the molecular level.Our findings will aid future studies of the mechanism of flower color regulation in C.goeringii and have implications for the breeding of new varieties.展开更多
基于MODIS NPP、EVI遥感影像,采用MVC法、一元线性回归法与Pearson相关分析法,探讨天山北坡昌吉州草地植被时空动态及其对同期气温、降水的响应。结果表明:2000—2020年,草地植被NPP、EVI均为跃动式显著递增,2016年后呈逐年递减;NPP、EV...基于MODIS NPP、EVI遥感影像,采用MVC法、一元线性回归法与Pearson相关分析法,探讨天山北坡昌吉州草地植被时空动态及其对同期气温、降水的响应。结果表明:2000—2020年,草地植被NPP、EVI均为跃动式显著递增,2016年后呈逐年递减;NPP、EVI多年均值为0.095 kg C·m^(-2)、0.186;相较于2000年(NPP=0.077 kg C·m^(-2)、EVI=0.166),2020年NPP(0.099 kg C·m^(-2))、EVI(0.194)分别增长了28.57%、16.87%。草地NPP空间异质性显著增加并呈扩大趋势,EVI空间差异逐年递增,变化范围分别为0.038 kg C·m^(-2)(NPP)、0.059(EVI)。在空间上,NPP、EVI多年平均分布具有差异;总体上,NPP、EVI随海拔升高而增加,但绿洲边缘、古尔班通古特沙漠南缘分布有高位EVI,面积占比65.01%的NPP与21.93%的EVI显著递增。9种草地类型植被NPP、EVI与降水呈显著正相关的面积占比远大于同期气温,不同类型草地对降水的响应具有差异。降水是草地植被的重要影响因子,但高海拔区域的适度增温有益于草地植被生长。展开更多
基金supported by the Joint Research Fund in AstronomyNational Natural Science Foundation of China(NSFC,grant No.U1931134)+1 种基金the Natural Science Foundation of Hebei,A2020202001the Natural Science Foundation of Tianjin Municipality,22JCYBJC00410。
文摘This study introduces a novel convolutional neural network,the WISE Galaxy Classification Network(WGC),for classifying spiral and elliptical galaxies using Wide-field Infrared Survey Explorer(WISE)images.WGC attains an accuracy of 89.03%,surpassing the combined use of K-means or SVM with the Color-Color method in more accurately identifying galaxy morphologies.The enhanced variant,WGC_mag,integrates magnitude parameters with image features,further boosting the accuracy to 89.89%.The research also delves into the criteria for galaxy classification,discovering that WGC primarily categorizes dust-rich images as elliptical galaxies,corresponding to their lower star formation rates,and classifies less dusty images as spiral galaxies.The paper explores the consistency and complementarity of WISE infrared images with SDSS optical images in galaxy morphology classification.The SDSS Galaxy Classification Network(SGC),trained on SDSS images,achieved an accuracy of 94.64%.The accuracy reached 99.30% when predictions from SGC and WGC were consistent.Leveraging the complementarity of features in WISE and SDSS images,a novel variant of a classifier,namely the Multi-band Galaxy Morphology Integrated Classifier,has been developed.This classifier elevates the overall prediction accuracy to 95.39%.Lastly,the versatility of WGC was validated in other data sets.On the HyperLEDA data set,the distinction between elliptical galaxies and Sc,Scd and Sd spiral galaxies was most pronounced,achieving an accuracy of 90%,surpassing the classification results of the Galaxy Zoo 2 labeled WISE data set.This research not only demonstrates the effectiveness of WISE images in galaxy morphology classification but also represents an attempt to integrate multi-band astronomical data to enhance understanding of galaxy structures and evolution.
基金supported by the National Natural Science Foundation of China(No.32071176)the 14th Five-Year-Plan Advantageous and Characteristic Disciplines(Groups)of Colleges and Universities in Hubei Province for Exercise and Brain Science from Hubei Provincial Department of Education+1 种基金the Chutian Scholar ProgramInnovative Start-Up Foundation from Wuhan Sports University to Ning Chen。
文摘Resveratrol(RSV),as a functional food component extracted from natural plants,has been widely studied and recognized in preventing and treating various diseases,with major mechanisms including executing anti-inflammation and anti-oxidation functions,and improving mitochondrial quality.Chronic diseases as non-communicable diseases are mainly caused by multiple factors,such as physiological decline and dysfunction in the body,and have become a significant challenge on public health worldwide.It is worth noting that chronic diseases such as Alzheimer's disease(AD),Parkinson's disease(PD),muscle atrophy,cardiovascular disease,obesity,and cancer are accompanied by abnormal mitochondrial function.Therefore,targeted regulation of mitochondria may be a meaningful way to prevent and treat chronic diseases.Increasing evidence has confirmed that RSV is actively involved in regulating mitochondria,and it has become an essential consideration to prevent and treat chronic diseases through targeting mitochondria and improving corresponding functions.In this article,current studies on RSV to optimize mitochondrial quality for preventing and alleviating chronic disease are systematically summarized,which can provide a theoretical reference for the development of functional foods or drugs to combat chronic diseases.
基金supported by the Study on Resource Collection and New Variety Breeding of the Guizhou Mountainous Characteristic Flower C.goeringii(QianKeHe[2022]General 107)the Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China,Guizhou Academy of Forestry.
文摘Cymbidium goeringii is an economically important ornamental plant,and flower color is one of the main features of C.goeringii that contributes to its high economic value.To clarify the molecular mechanisms underlying the role of anthocyanins in mediating differences in color among varieties,liquid chromatography–tandem mass spectrometry was used to perform anthocyanin-targeted metabolomics of seven C.goeringii varieties,including‘Jin Qian Yuan’(JQY),‘Jin Xiu Qian Yuan’(JXQY),‘Miao Jiang Su Die’(MJSD),‘Qian Ming Su’(QMS),‘Shi Chan’(SC),and‘Yang Ming Su’(YMS),as well as the C.goeringii.We detected 64 anthocyanins,including cyanidins,delphinidins,malvidins,pelargonidins,peonidins,petunidins,procyanidins,and flavonoids.We identified six shared differentially accumulated metabolites(DAMs),including cyanidin-3-O-rutinoside,delphinidin-3-Osophoroside,pelargonidin-3-O-rutinoside,peonidin-3-O-(6-O-malonyl-beta-D-glucoside),peonidin-3-Osophoroside,and chalcone.Most DAMs were enriched in the anthocyanin biosynthesis pathway.Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the differentially expressed metabolites were significantly enriched in the anthocyanin biosynthesis pathway.Analysis of the content of differentially expressed metabolites indicated that peonidin-3-O-(6-O-malonyl-beta-D-glucoside)was the key metabolite underlying color differences among C.goeringii varieties.Procyanidin B2,pelargonidin-3-O-galactoside,and naringenin might also affect the color formation of JQY and QMS,SC,and MJSD,respectively.The results of this study shed light on the metabolic mechanism underlying flower color differences in C.goeringii at the molecular level.Our findings will aid future studies of the mechanism of flower color regulation in C.goeringii and have implications for the breeding of new varieties.
文摘基于MODIS NPP、EVI遥感影像,采用MVC法、一元线性回归法与Pearson相关分析法,探讨天山北坡昌吉州草地植被时空动态及其对同期气温、降水的响应。结果表明:2000—2020年,草地植被NPP、EVI均为跃动式显著递增,2016年后呈逐年递减;NPP、EVI多年均值为0.095 kg C·m^(-2)、0.186;相较于2000年(NPP=0.077 kg C·m^(-2)、EVI=0.166),2020年NPP(0.099 kg C·m^(-2))、EVI(0.194)分别增长了28.57%、16.87%。草地NPP空间异质性显著增加并呈扩大趋势,EVI空间差异逐年递增,变化范围分别为0.038 kg C·m^(-2)(NPP)、0.059(EVI)。在空间上,NPP、EVI多年平均分布具有差异;总体上,NPP、EVI随海拔升高而增加,但绿洲边缘、古尔班通古特沙漠南缘分布有高位EVI,面积占比65.01%的NPP与21.93%的EVI显著递增。9种草地类型植被NPP、EVI与降水呈显著正相关的面积占比远大于同期气温,不同类型草地对降水的响应具有差异。降水是草地植被的重要影响因子,但高海拔区域的适度增温有益于草地植被生长。
