Brine shrimp are vital inhabitants of saltwater lakes,contributing significantly to economic and ecological systems.With increasing threats from environmental degradation and overharvesting,effec-tive monitoring is ur...Brine shrimp are vital inhabitants of saltwater lakes,contributing significantly to economic and ecological systems.With increasing threats from environmental degradation and overharvesting,effec-tive monitoring is urgenttly needed.Traditional field sampling meth-ods are limited in scope and efficiency,necessitating a reliable remote sensing-based approach.However,Ebinur Lake's complex spectral environment,characterized by poor water quality and diverse suspended particulates,poses challenges for satellite remote sensing accuracy.To overcome these issues,we developed a novel multi-rule extraction model based on Landsat data,lever-aging the distinct short-wave infrared signatures of brine shrimp to enhance detection accuracy.We evaluated and validated this method using Landsat 8 and Sentinel-2 datasets,achieving a classification accuracy of 94.5%and a kappa coefficient of 0.88,surpassing existing methods.Additionally,our analysis of a decade of Landsat data in Ebinur Lake via Google Earth Engine revealed a correlation between brine shrimp distribution and lake surface area.Our model demonstrates high accuracy and scalability in mapping brine shrimp,making it a valuable tool for long-term,large-scale assessments in saline lakes.This capability holds signifi-cant potential for advancing fisheries research and informing con-servation strategies.展开更多
目的评估抑郁症患者中体质量指数(body mass index,BMI)正常、超重和代谢综合征(metabolic syndrome,MetS)的转移规律。方法以2016年1月至2021年11月期间于首都医科大学附属北京安定医院治疗,有多次入院记录的抑郁症患者为研究对象,根...目的评估抑郁症患者中体质量指数(body mass index,BMI)正常、超重和代谢综合征(metabolic syndrome,MetS)的转移规律。方法以2016年1月至2021年11月期间于首都医科大学附属北京安定医院治疗,有多次入院记录的抑郁症患者为研究对象,根据每次入院时BMI和代谢情况分为BMI正常、超重和代谢综合征3种状态,采用多状态Markov模型分析转移规律。结果纳入398例研究对象的892条观测记录,中位年龄56岁,中位随访时间40个月。结果显示3种状态间共发生494次转移,其中5.1%由BMI正常转移为超重,5.5%由超重转移为MetS。超重发展为MetS的转移强度最高,是超重变为BMI正常的9.52倍。48.53个月后,BMI正常的抑郁症患者开始转移为MetS。对于超重的患者,8.77个月后开始转移为MetS。36个月后,BMI正常或超重者转移为MetS的概率为31.4%和50.4%;对于合并MetS者,36个月后仍为MetS的概率为51.2%。多因素分析显示未婚是体质量正常的抑郁症患者转移为超重的危险因素,而具有较高的受教育程度是超重的抑郁症患者转移为MetS的保护因素。结论抑郁症患者发展为MetS的强度和风险较高,发生MetS后不易好转,提示加强抑郁症患者的BMI管理和MetS的干预。展开更多
基金supported in part by the National Natural Science Foundation of China(NSFC)under Grant 42471390 and Grant 42425104the Third Comprehensive Scientific Expedition to Xinjiang under Grant 2021xjkk1403.
文摘Brine shrimp are vital inhabitants of saltwater lakes,contributing significantly to economic and ecological systems.With increasing threats from environmental degradation and overharvesting,effec-tive monitoring is urgenttly needed.Traditional field sampling meth-ods are limited in scope and efficiency,necessitating a reliable remote sensing-based approach.However,Ebinur Lake's complex spectral environment,characterized by poor water quality and diverse suspended particulates,poses challenges for satellite remote sensing accuracy.To overcome these issues,we developed a novel multi-rule extraction model based on Landsat data,lever-aging the distinct short-wave infrared signatures of brine shrimp to enhance detection accuracy.We evaluated and validated this method using Landsat 8 and Sentinel-2 datasets,achieving a classification accuracy of 94.5%and a kappa coefficient of 0.88,surpassing existing methods.Additionally,our analysis of a decade of Landsat data in Ebinur Lake via Google Earth Engine revealed a correlation between brine shrimp distribution and lake surface area.Our model demonstrates high accuracy and scalability in mapping brine shrimp,making it a valuable tool for long-term,large-scale assessments in saline lakes.This capability holds signifi-cant potential for advancing fisheries research and informing con-servation strategies.
文摘目的评估抑郁症患者中体质量指数(body mass index,BMI)正常、超重和代谢综合征(metabolic syndrome,MetS)的转移规律。方法以2016年1月至2021年11月期间于首都医科大学附属北京安定医院治疗,有多次入院记录的抑郁症患者为研究对象,根据每次入院时BMI和代谢情况分为BMI正常、超重和代谢综合征3种状态,采用多状态Markov模型分析转移规律。结果纳入398例研究对象的892条观测记录,中位年龄56岁,中位随访时间40个月。结果显示3种状态间共发生494次转移,其中5.1%由BMI正常转移为超重,5.5%由超重转移为MetS。超重发展为MetS的转移强度最高,是超重变为BMI正常的9.52倍。48.53个月后,BMI正常的抑郁症患者开始转移为MetS。对于超重的患者,8.77个月后开始转移为MetS。36个月后,BMI正常或超重者转移为MetS的概率为31.4%和50.4%;对于合并MetS者,36个月后仍为MetS的概率为51.2%。多因素分析显示未婚是体质量正常的抑郁症患者转移为超重的危险因素,而具有较高的受教育程度是超重的抑郁症患者转移为MetS的保护因素。结论抑郁症患者发展为MetS的强度和风险较高,发生MetS后不易好转,提示加强抑郁症患者的BMI管理和MetS的干预。
