Tuberculosis(TB),one of the oldest infectious diseases caused by Mycobacterium tuberculosis,poses a considerable challenge to global public health.There are approximately 10 million new TB cases worldwide annually,and...Tuberculosis(TB),one of the oldest infectious diseases caused by Mycobacterium tuberculosis,poses a considerable challenge to global public health.There are approximately 10 million new TB cases worldwide annually,and TB claims the lives of nearly 3 million people each year,making it one of the leading causes of death from a single infectious disease[1].China ranks third globally in terms of TB burden,with approximately 733,000 TB cases reported in 2023[2].Based on the ecological model of health determinants developed by Whitehead and Dahlgren,health determinants can be classified into direct causes.展开更多
AIM:To compare spontaneous brain regional activities between diabetic vitreous hemorrhage patients(DVHs)and healthy controls(HCs).METHODS:Thirty-two DVHs and 32 HCs were enrolled in this study.Baseline demographic and...AIM:To compare spontaneous brain regional activities between diabetic vitreous hemorrhage patients(DVHs)and healthy controls(HCs).METHODS:Thirty-two DVHs and 32 HCs were enrolled in this study.Baseline demographic and vision data were compared between groups using an independent sample t-test.Resting-state functional magnetic resonance imaging(rs-fMRI)was used in all participants.fMRI data was obtained and analyzed using MRIcro and SPM8 software.Fractional amplitude of low-frequency fluctuation(fALFF)technology was used to measure regional spontaneous brain activity,and sensitivity was tested using receiver operating characteristic curves(ROCs).The fALFF values were analyzed using REST software and two-sample t-tests were used to compare values between groups.Hospital anxiety and depression scale(HADS)score was assessed in DVHs and Pearson’s correlation was used to test relationships between mean fALFF value and both HADS score and duration of DVH.RESULTS:Except for the best-corrected visual acuity(BCVA)in both eyes,which showed a statistically significant difference(P<0.05),there were no statistically significant differences in the other indicators(P>0.05)between the HCs and DVHs group.Compared with controls,fALFF value was higher in DVH in cerebellum posterior lobe(CPL)and lower in right anterior cingulate cortex(ACC)and right medial orbitofrontal cortex(OFC).In DVH patients,mean fALFF value of CPL was positively correlated with HADS score and duration of diabetes.However,no such correlation was found,for right ACC or right medial OFC.DVH may lead to abnormal activities in certain brain regions related to visual control and mood.CONCLUSION:Visual impairment caused by DVH may lead to adjustment in regional visual brain activities and may be related to depression or reward system processing in some brain regions.展开更多
为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于...为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于校准后的APSIM-wheat模型模拟分析1967-2017年雨养条件下春小麦生长发育过程,并依据降水量划分了3种降水年型(干旱、平水和湿润年型),根据土壤水分亏缺指数(soil water deficit on photosynthesis,SWD_(ef))确定最优水分管理时期;设计8个灌溉量梯度(15、30、45、60、90、120、150和180 mm)和13个施N量梯度(30、45、60、75、90、105、120、150、180、210、240、270和300 kg·hm^(-2))情景模式,结合水氮管理决策的遴选关键指标[水分利用效率(water use efficiency,WUE)、氮肥利用效率(nitrogen use efficiency,NUE)和产量],探究不同气候年型下最优春小麦水氮管理模式。结果表明:(1)校准后的APSIM-wheat模型春小麦发育期模块(出苗期、抽穗期和成熟期)模拟值与观测值的均方根误差(root mean square error,RMSE)在1.17~3.64 d范围内,归一化均方根误差(normalized root mean square error,NRMSE)在0.82%~1.90%范围内;产量模块模拟值与观测值的RMSE为371.50 kg·hm^(-2),NRMSE为8.54%,说明APSIM-wheat模型可以较好地反映不同降水年型下小麦的动态生长发育过程。(2)雨养条件下春小麦分蘖期—拔节期、拔节期—抽穗期和抽穗期—开花期的SWD_(ef)较低,且在生育期内仅灌溉一次的前提下,拔节期灌溉可以减轻干旱胁迫并显著提高产量。(3)干旱、平水和湿润年型春小麦拔节期最优水氮管理模式分别为灌溉量60 mm和施氮量105 kg·hm^(-2)、灌溉量60 mm和施氮量120 kg·hm^(-2)、灌溉量30 mm和施氮量150 kg·hm^(-2),其产量分别为4810.96±551.43、5378.06±768.86和6421.33±454.09 kg·hm^(-2)。展开更多
基金supported by the National Natural Science Foundation of China(82574173,82003516)Jiangsu Provincial Natural Science Foundation(BK20251958)+2 种基金Jiangsu Provincial Medical Key Discipline(ZDXK202250)Top Talent Awards Project Fund(RDF-TP-0023,RDF-TP-0030)Postgraduate Research Fund(PGRS2112022)at Xi'an Jiaotong-Liverpool University.
文摘Tuberculosis(TB),one of the oldest infectious diseases caused by Mycobacterium tuberculosis,poses a considerable challenge to global public health.There are approximately 10 million new TB cases worldwide annually,and TB claims the lives of nearly 3 million people each year,making it one of the leading causes of death from a single infectious disease[1].China ranks third globally in terms of TB burden,with approximately 733,000 TB cases reported in 2023[2].Based on the ecological model of health determinants developed by Whitehead and Dahlgren,health determinants can be classified into direct causes.
基金Supported by National Natural Science Foundation of China(No.82160195,No.82460203)Zhejiang Traditional Chinese Medicine Science and Technology Plan Project(No.2025ZR172).
文摘AIM:To compare spontaneous brain regional activities between diabetic vitreous hemorrhage patients(DVHs)and healthy controls(HCs).METHODS:Thirty-two DVHs and 32 HCs were enrolled in this study.Baseline demographic and vision data were compared between groups using an independent sample t-test.Resting-state functional magnetic resonance imaging(rs-fMRI)was used in all participants.fMRI data was obtained and analyzed using MRIcro and SPM8 software.Fractional amplitude of low-frequency fluctuation(fALFF)technology was used to measure regional spontaneous brain activity,and sensitivity was tested using receiver operating characteristic curves(ROCs).The fALFF values were analyzed using REST software and two-sample t-tests were used to compare values between groups.Hospital anxiety and depression scale(HADS)score was assessed in DVHs and Pearson’s correlation was used to test relationships between mean fALFF value and both HADS score and duration of DVH.RESULTS:Except for the best-corrected visual acuity(BCVA)in both eyes,which showed a statistically significant difference(P<0.05),there were no statistically significant differences in the other indicators(P>0.05)between the HCs and DVHs group.Compared with controls,fALFF value was higher in DVH in cerebellum posterior lobe(CPL)and lower in right anterior cingulate cortex(ACC)and right medial orbitofrontal cortex(OFC).In DVH patients,mean fALFF value of CPL was positively correlated with HADS score and duration of diabetes.However,no such correlation was found,for right ACC or right medial OFC.DVH may lead to abnormal activities in certain brain regions related to visual control and mood.CONCLUSION:Visual impairment caused by DVH may lead to adjustment in regional visual brain activities and may be related to depression or reward system processing in some brain regions.
文摘基于Sentinel-2 NDVI(normalized difference vegetation index)时间序列数据特征绘制了江汉平原2020—2024年的农作物种植强度空间分布并分析其变化特征。首先对NDVI数据进行了云掩膜和时序平滑等预处理获取完整的作物NDVI时序曲线;然后,提取曲线的波峰和波谷、作物的SOS(start of season)和EOS(end of season)等关键物候信息,在此基础上提出了一种波峰计数的种植强度提取方法,并通过野外调查数据进行了精度验证。研究结果表明,该方法能够有效绘制江汉平原单季作物、双季轮作和三季轮作的空间分布,5 a整体精度均超过85%。该方法为精准农业的发展提供了可靠的技术手段。
文摘为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于校准后的APSIM-wheat模型模拟分析1967-2017年雨养条件下春小麦生长发育过程,并依据降水量划分了3种降水年型(干旱、平水和湿润年型),根据土壤水分亏缺指数(soil water deficit on photosynthesis,SWD_(ef))确定最优水分管理时期;设计8个灌溉量梯度(15、30、45、60、90、120、150和180 mm)和13个施N量梯度(30、45、60、75、90、105、120、150、180、210、240、270和300 kg·hm^(-2))情景模式,结合水氮管理决策的遴选关键指标[水分利用效率(water use efficiency,WUE)、氮肥利用效率(nitrogen use efficiency,NUE)和产量],探究不同气候年型下最优春小麦水氮管理模式。结果表明:(1)校准后的APSIM-wheat模型春小麦发育期模块(出苗期、抽穗期和成熟期)模拟值与观测值的均方根误差(root mean square error,RMSE)在1.17~3.64 d范围内,归一化均方根误差(normalized root mean square error,NRMSE)在0.82%~1.90%范围内;产量模块模拟值与观测值的RMSE为371.50 kg·hm^(-2),NRMSE为8.54%,说明APSIM-wheat模型可以较好地反映不同降水年型下小麦的动态生长发育过程。(2)雨养条件下春小麦分蘖期—拔节期、拔节期—抽穗期和抽穗期—开花期的SWD_(ef)较低,且在生育期内仅灌溉一次的前提下,拔节期灌溉可以减轻干旱胁迫并显著提高产量。(3)干旱、平水和湿润年型春小麦拔节期最优水氮管理模式分别为灌溉量60 mm和施氮量105 kg·hm^(-2)、灌溉量60 mm和施氮量120 kg·hm^(-2)、灌溉量30 mm和施氮量150 kg·hm^(-2),其产量分别为4810.96±551.43、5378.06±768.86和6421.33±454.09 kg·hm^(-2)。
