Objective The Tengchong volcanic field is situated along the southeastern margin of the Tibetan Plateau and adjacent to the border area of western Yunnan Province of China and Myanmar.Affected by the intense tectonic ...Objective The Tengchong volcanic field is situated along the southeastern margin of the Tibetan Plateau and adjacent to the border area of western Yunnan Province of China and Myanmar.Affected by the intense tectonic stress of subduction of the Indian plate to Eurasian plate,this volcanic field has experienced strong volcanism.展开更多
Levilactobacillus brevis FZU0713, a potential probiotic previously isolated from the traditional brewing process of Hongqu rice wine, may have the beneficial effects on improving lipid metabolism. This study aimed to ...Levilactobacillus brevis FZU0713, a potential probiotic previously isolated from the traditional brewing process of Hongqu rice wine, may have the beneficial effects on improving lipid metabolism. This study aimed to evaluate the in vivo protective effects and possible mechanism of L. brevis FZU0713 on the disturbance of lipid metabolism in hyperlipidemic rats fed a high-fat diet(HFD). Results showed that oral administration of L. brevis FZU0713 could significantly inhibit obesity, ameliorate the lipid metabolism disorder, including serum/liver biochemical parameters and hepatic oxidative stress in HFD-fed rats. Histopathological result also indicated that dietary intervention of L. brevis FZU0713 could reduce the accumulation of lipid droplets in liver induced by 8 weeks HFD feeding. Furthermore, L. brevis FZU0713 intervention significantly increased the fecal levels of short-chain fatty acids(SCFAs, including acetate, propionate, butyrate, isobutyrate, valerate and isovalerate)in HFD-fed rats, which may be closely related to the changes of intestinal microbial composition and metabolic function. Intestinal microbiota profiling by 16S rRNA gene sequencing revealed that L. brevis FZU0713 intervention significantly altered the relative abundance of Coprococcus, Butyricicoccus, Intestinimonas, Lachnospiraceae FCS020 group, Ruminococcaceae_NK4A214 group, Ruminococcaceae_UCG-005 and UCG-014 at genus levels. Based on Spearman's rank correlation coefficient, serum and liver lipid metabolism related biochemical parameters were positively correlated with genera Ruminococcus, Pediococcus and Lachnospiraceae, but negatively correlated with genera Pseudoflavonifractor, Butyricicoccus and Intestinimonas. Furthermore, liver metabolomics analysis demonstrated that L. brevis FZU0713 had a significant regulatory effect on the composition of liver metabolites in hyperlipidemic rats, especially the levels of some important biomarkers involved in the metabolic pathways of arachidonic acid metabolism, primary bile acid biosynthesis, amino sugar and nucleotide sugar metabolism, taurine and hypotaurine metabolism, biosynthesis of unsaturated fatty acid, fructose and mannose metabolism, tyrosine metabolism, etc. Additionally, oral administration of L. brevis FZU0713 significantly regulated the mR NA levels of liver genes(including Acat2, Acox1, Hmgcr, Cd36, Srebp-1c and Cyp7a1)involved in lipid metabolism and bile acid homeostasis. In conclusion, our findings provide the evidence that L. brevis FZU0713 has the potential to improve disturbance of lipid metabolism by regulating intestinal microflora and liver metabonomic profile. Therefore, L. brevis FZU0713 may be used as a potential probiotic strain to produce functional food to prevent hyperlipidemia.展开更多
Recently,deep learning has achieved considerable results in the hyperspectral image(HSI)classification.However,most available deep networks require ample and authentic samples to better train the models,which is expen...Recently,deep learning has achieved considerable results in the hyperspectral image(HSI)classification.However,most available deep networks require ample and authentic samples to better train the models,which is expensive and inefficient in practical tasks.Existing few‐shot learning(FSL)methods generally ignore the potential relationships between non‐local spatial samples that would better represent the underlying features of HSI.To solve the above issues,a novel deep transformer and few‐shot learning(DTFSL)classification framework is proposed,attempting to realize fine‐grained classification of HSI with only a few‐shot instances.Specifically,the spatial attention and spectral query modules are introduced to overcome the constraint of the convolution kernel and consider the information between long‐distance location(non‐local)samples to reduce the uncertainty of classes.Next,the network is trained with episodes and task‐based learning strategies to learn a metric space,which can continuously enhance its modelling capability.Furthermore,the developed approach combines the advantages of domain adaptation to reduce the variation in inter‐domain distribution and realize distribution alignment.On three publicly available HSI data,extensive experiments have indicated that the proposed DT‐FSL yields better results concerning state‐of‐the‐art algorithms.展开更多
目的:了解中国女性1990—2019年妇科疾病负担变化趋势及其年龄、时期、队列效应,为妇科疾病的预防和控制策略的制定提供科学依据。方法:利用2019年全球疾病负担研究(Global Burden of Disease Study 2019,GBD 2019)数据,采用Joinpoint...目的:了解中国女性1990—2019年妇科疾病负担变化趋势及其年龄、时期、队列效应,为妇科疾病的预防和控制策略的制定提供科学依据。方法:利用2019年全球疾病负担研究(Global Burden of Disease Study 2019,GBD 2019)数据,采用Joinpoint回归模型分析中国妇科疾病发病率和伤残调整寿命年(disability adjusted life year,DALY)率的变化趋势,基于年龄-时期-队列模型探讨年龄、时期和队列效应对发病率和DALY率的影响,并分析经前期综合征、生殖器脱垂、子宫肌瘤、子宫内膜异位症、多囊卵巢综合征发病率和DALY率的顺位。结果:1990—2019年中国妇科疾病发病率和DALY率均呈下降趋势,平均每年分别下降0.63%(95%CI:-0.73%~-0.54%,P<0.05)和0.34%(95%CI:-0.43%~-0.24%,P<0.05)。年龄-时期-队列模型结果显示,1990—2019年中国妇科疾病发病率和DALY率的纵向年龄曲线均呈先上升后下降的趋势,在30~34岁达高峰。随着时期的推移,妇科疾病的发病风险和DALY风险均呈下降趋势,以2000—2004年为参考时期(RR=1),2015—2019年时期发病风险下降至最低(RR=0.73,95%CI:0.74~0.71)。1905—1909至1985—1989年出生队列的发病风险和DALY风险呈下降趋势,1990—1994至2000—2004年出生队列略呈上升趋势。1990和2019年常见妇科疾病中经前期综合征发病率(7245.53/10万、5695.02/10万)和DALY率(222.21/10万、197.95/10万)居于首位。结论:我国减少妇科疾病负担的工作已取得一定进展,但疾病负担仍然严重,应加强对年轻女性妇科疾病的健康宣传教育,开展有针对性的普查,提高诊断和治疗技术,继续降低我国的妇科疾病负担。展开更多
基金supported by the National Science Foundation of China(grant No.41472305)Special Project of China Earthquake Administration(grant No. 201108001)
文摘Objective The Tengchong volcanic field is situated along the southeastern margin of the Tibetan Plateau and adjacent to the border area of western Yunnan Province of China and Myanmar.Affected by the intense tectonic stress of subduction of the Indian plate to Eurasian plate,this volcanic field has experienced strong volcanism.
基金financially supported by National Natural Science Foundation of China (31601466)funding from Outstanding Talent of “Qishan Scholar” of Fuzhou University (GXRC21049)Outstanding Young Scientific Talents of Fujian Agriculture and Forestry University (XJQ201607)。
文摘Levilactobacillus brevis FZU0713, a potential probiotic previously isolated from the traditional brewing process of Hongqu rice wine, may have the beneficial effects on improving lipid metabolism. This study aimed to evaluate the in vivo protective effects and possible mechanism of L. brevis FZU0713 on the disturbance of lipid metabolism in hyperlipidemic rats fed a high-fat diet(HFD). Results showed that oral administration of L. brevis FZU0713 could significantly inhibit obesity, ameliorate the lipid metabolism disorder, including serum/liver biochemical parameters and hepatic oxidative stress in HFD-fed rats. Histopathological result also indicated that dietary intervention of L. brevis FZU0713 could reduce the accumulation of lipid droplets in liver induced by 8 weeks HFD feeding. Furthermore, L. brevis FZU0713 intervention significantly increased the fecal levels of short-chain fatty acids(SCFAs, including acetate, propionate, butyrate, isobutyrate, valerate and isovalerate)in HFD-fed rats, which may be closely related to the changes of intestinal microbial composition and metabolic function. Intestinal microbiota profiling by 16S rRNA gene sequencing revealed that L. brevis FZU0713 intervention significantly altered the relative abundance of Coprococcus, Butyricicoccus, Intestinimonas, Lachnospiraceae FCS020 group, Ruminococcaceae_NK4A214 group, Ruminococcaceae_UCG-005 and UCG-014 at genus levels. Based on Spearman's rank correlation coefficient, serum and liver lipid metabolism related biochemical parameters were positively correlated with genera Ruminococcus, Pediococcus and Lachnospiraceae, but negatively correlated with genera Pseudoflavonifractor, Butyricicoccus and Intestinimonas. Furthermore, liver metabolomics analysis demonstrated that L. brevis FZU0713 had a significant regulatory effect on the composition of liver metabolites in hyperlipidemic rats, especially the levels of some important biomarkers involved in the metabolic pathways of arachidonic acid metabolism, primary bile acid biosynthesis, amino sugar and nucleotide sugar metabolism, taurine and hypotaurine metabolism, biosynthesis of unsaturated fatty acid, fructose and mannose metabolism, tyrosine metabolism, etc. Additionally, oral administration of L. brevis FZU0713 significantly regulated the mR NA levels of liver genes(including Acat2, Acox1, Hmgcr, Cd36, Srebp-1c and Cyp7a1)involved in lipid metabolism and bile acid homeostasis. In conclusion, our findings provide the evidence that L. brevis FZU0713 has the potential to improve disturbance of lipid metabolism by regulating intestinal microflora and liver metabonomic profile. Therefore, L. brevis FZU0713 may be used as a potential probiotic strain to produce functional food to prevent hyperlipidemia.
基金supported by the National Natural Science Foundation of China under Grant 62161160336 and Grant 42030111.
文摘Recently,deep learning has achieved considerable results in the hyperspectral image(HSI)classification.However,most available deep networks require ample and authentic samples to better train the models,which is expensive and inefficient in practical tasks.Existing few‐shot learning(FSL)methods generally ignore the potential relationships between non‐local spatial samples that would better represent the underlying features of HSI.To solve the above issues,a novel deep transformer and few‐shot learning(DTFSL)classification framework is proposed,attempting to realize fine‐grained classification of HSI with only a few‐shot instances.Specifically,the spatial attention and spectral query modules are introduced to overcome the constraint of the convolution kernel and consider the information between long‐distance location(non‐local)samples to reduce the uncertainty of classes.Next,the network is trained with episodes and task‐based learning strategies to learn a metric space,which can continuously enhance its modelling capability.Furthermore,the developed approach combines the advantages of domain adaptation to reduce the variation in inter‐domain distribution and realize distribution alignment.On three publicly available HSI data,extensive experiments have indicated that the proposed DT‐FSL yields better results concerning state‐of‐the‐art algorithms.
文摘目的:了解中国女性1990—2019年妇科疾病负担变化趋势及其年龄、时期、队列效应,为妇科疾病的预防和控制策略的制定提供科学依据。方法:利用2019年全球疾病负担研究(Global Burden of Disease Study 2019,GBD 2019)数据,采用Joinpoint回归模型分析中国妇科疾病发病率和伤残调整寿命年(disability adjusted life year,DALY)率的变化趋势,基于年龄-时期-队列模型探讨年龄、时期和队列效应对发病率和DALY率的影响,并分析经前期综合征、生殖器脱垂、子宫肌瘤、子宫内膜异位症、多囊卵巢综合征发病率和DALY率的顺位。结果:1990—2019年中国妇科疾病发病率和DALY率均呈下降趋势,平均每年分别下降0.63%(95%CI:-0.73%~-0.54%,P<0.05)和0.34%(95%CI:-0.43%~-0.24%,P<0.05)。年龄-时期-队列模型结果显示,1990—2019年中国妇科疾病发病率和DALY率的纵向年龄曲线均呈先上升后下降的趋势,在30~34岁达高峰。随着时期的推移,妇科疾病的发病风险和DALY风险均呈下降趋势,以2000—2004年为参考时期(RR=1),2015—2019年时期发病风险下降至最低(RR=0.73,95%CI:0.74~0.71)。1905—1909至1985—1989年出生队列的发病风险和DALY风险呈下降趋势,1990—1994至2000—2004年出生队列略呈上升趋势。1990和2019年常见妇科疾病中经前期综合征发病率(7245.53/10万、5695.02/10万)和DALY率(222.21/10万、197.95/10万)居于首位。结论:我国减少妇科疾病负担的工作已取得一定进展,但疾病负担仍然严重,应加强对年轻女性妇科疾病的健康宣传教育,开展有针对性的普查,提高诊断和治疗技术,继续降低我国的妇科疾病负担。
