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Water quality prediction based on sparse dataset using enhanced machine learning

Environmental Science and Ecotechnology 2024年第4期20卷 218-228页

作者： Sheng Huang Jun Xia yueling wang Jiarui Lei Gangsheng wang State Key Laboratory of Water Resources Engineering and Management Wuhan UniversityWuhan 430072China Institute for Water-Carbon Cycles and Carbon Neutrality Wuhan UniversityWuhan 430072China Department of Civil and Environmental Engineering National University of Singapore117578 Singapore Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

Water quality in surface bodies remains a pressing issue *** some regions have rich water quality data,less attention is given to areas that lack sufficient ***,it is crucial to explore novel ways of managing source-oriented surface water pollution in scenarios with infrequent data collection such as weekly or *** we showed sparse-dataset-based prediction of water pollution using machine *** investigated the efficacy of a traditional Recurrent Neural Network alongside three Long Short-Term Memory(LSTM)models,integrated with the Load Estimator(LOADEST).The research was conducted at a river-lake confluence,an area with intricate hydrological *** found that the Self-Attentive LSTM(SA-LSTM)model outperformed the other three machine learning models in predicting water quality,achieving Nash-Sutcliffe Efficiency(NSE)scores of 0.71 for COD_(Mn)and 0.57 for NH_(3)N when utilizing LOADEST-augmented water quality data(referred to as the SA-LSTMLOADEST model).The SA-LSTM-LOADEST model improved upon the standalone SA-LSTM model by reducing the Root Mean Square Error(RMSE)by 24.6%for COD_(Mn)and 21.3%for NH_(3)***,the model maintained its predictive accuracy when data collection intervals were extended from weekly to ***,the SA-LSTM-LOADEST model demonstrated the capability to forecast pollution loads up to ten days in *** study shows promise for improving water quality modeling in regions with limited monitoring capabilities.

关键词： Water quality modeling Sparse measurement River-lake confluence Long short-term memory Load estimator Machine learning

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SOX11 as a potential prognostic biomarker in hepatocellular carcinoma linked to immune infiltration and ferroptosis

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Chinese Journal of Cancer Research 2024年第4期36卷 378-397页

作者： Hongyu Chen Qiangguo Ao yueling wang Yue Qian Qingli Cheng Wei Zhang Department of Nephrology the Second Medical Center of PLA General HospitalNational Clinical Research Center for Geriatric DiseasesBeijing 100853China Clinical Laboratory the First Affiliated Hospital of Henan UniversityKaifeng 475000China Cell Biology Department Wuxi School of MedicineJiangnan UniversityWuxi 214122China Department of Pathogen Biology Guizhou Nursing Vocational CollegeGuiyang 550000China

Objective:SOX11 is expressed in numerous malignancies,including hepatocellular carcinomas(HCC),but its oncogenic function has not been ***,we performed a comprehensive bioinformatics analysis of the Liver Hepatocellular Carcinoma(LIHC)dataset to investigate the function of SOX11 in ***:SOX11 expression data from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)were validated by immunohistochemistry(IHC).Co-expression,differential expression,and functional analyses utilized TCGA-LIHC,Timer 2.0,Metascape,GTEx,and LinkedOmics *** with immune infiltration,ferroptosis,and immune checkpoint genes were *** changes were explored via *** regression,receiver operating characteristic curve(ROC),Kaplan-Meier analysis,and nomogram modeling evaluated associations with HCC clinicopathological ***11’s impact on proliferation and migration was studied in HepG2 and HuH7 cell ***:SOX11 was significantly elevated in HCC tumors compared to ***11-associated genes exhibited differential expression in pathways involving extracellular membrane ion *** associations were found between SOX11 levels,immune infiltration,ferroptosis,and immune checkpoint genes in HCC ***11 levels correlated with HCC stage,histologic grade,and tumor status,and independently predicted overall and disease-specific ***11 expression effectively distinguished between tumor and normal liver *** correlations highlighted a significant relationship between SOX11 and ferroptosis-associated *** SOX11 levels in HepG2 and HuH7 cells resulted in reduced proliferation and ***:SOX11 was found to represent a promising biomarker within HCC diagnosis and prognosis together with being a possible drug-target.

关键词： SOX11 biomarker HCC prognosis genetic alterations tumor-immune infiltration ferroptosis

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Dynamics Modeling and Robust Trajectory Tracking Control for a Class of Hybrid Humanoid Arm Based on Neural Network

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Chinese Journal of Mechanical Engineering 2009年第3期22卷 355-363页

作者： wang yueling JIN Zhenlin College of Mechanical Engineering Yanshan University Qinhuangdao 066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

In order to solve the problem of trajectory tracking for a class of novel serial-parallel hybrid humanoid arm（HHA）, which has parameters uncertainty, frictions, disturbance, abrasion and pulse forces derived from motors, a multistep dynamics modeling strategy is proposed and a robust controller based on neural network（NN）-adaptive algorithm is designed. At the first step of dynamics modeling, the dynamics model of the reduced HHA is established by Lagrange method. At the second step of dynamics modeling, the parameter uncertain part resulting mainly from the idealization of the HHA is learned by adaptive algorithm. In the trajectory tracking controller, the radial basis function（RBF） NN, whose optimal weights are learned online by adaptive algorithm, is used to learn the upper limit function of the total uncertainties including frictions, disturbances, abrasion and pulse forces. To a great extent, the conservatism of this robust trajectory tracking controller is reduced, and by this controller the HHA can impersonate mostly human actions. The proof and simulation results testify the validity of the adaptive strategy for parameter learning and the neural network-adaptive strategy for the trajectory tracking control.

关键词： hybrid humanoid arm dynamic modeling neural network adaptive control trajectory tracking

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Land use/cover change effects on floods with different return periods： a case study of Beijing, China

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Frontiers of Environmental Science & Engineering 2013年第5期7卷 769-776页

作者： yueling wang Xiaoliu YANG Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China College of Urban and Environmental Sciences Peking University Beijing 100871 China

In this study, an approach integrating digital land use/cover change （LUCC） analysis, hydraulic model- ing and statistical methods was applied to quantify the effect of LUCC on floods in terms of inundation extent, flood arrival time and maximum water depth. The study took Beijing as an example and analyzed five specific floods with return periods of 20-year, 50-year, 100-year, 1000-year and 10000-year on the basis of LUCC over a nine-year period from 1996 to 2004. The analysis reveals that 1） during the period of analysis Beijing experienced unprecedented LUCC; 2） LUCC can affect inundation extent and flood arrival time, and floods with longer return periods are more influenced; 3） LUCC can affect maximum water depth and floods with shorter return periods are more influenced; and 4） LUCC is a major flood security stressor for Beijing. It warns that those cities having experienced rapid expansion during recent decades in China are in danger of more serious floods and recommends that their actual land use patterns should be carefully assessed considering flood security. This inte- grated approach is demonstrated to he a useful tool for joint assessment, planning and management of land and water.

关键词： inundation extent flood arrival time maximum water depth shallow flow model

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宁南山区不同植被类型土壤水分变化特征

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北方园艺 2024年第8期 59-65页

作者：安钰韩新生郭永忠王月玲许浩宁夏农林科学院林业与草地生态研究所宁夏防沙治沙与水土保持重点实验室宁夏银川750002

以宁夏南部山区山杏林、沙棘林、山杏×沙棘混交林3种典型植被为试材,采用野外定位监测法,对3种植被0~100 cm不同深度土壤水分进行连续1年定位观测,研究了不同植被类型土壤水分时间变化和垂直变化规律,以期了解宁南山区主要植被类型的... 详细信息

以宁夏南部山区山杏林、沙棘林、山杏×沙棘混交林3种典型植被为试材,采用野外定位监测法,对3种植被0~100 cm不同深度土壤水分进行连续1年定位观测,研究了不同植被类型土壤水分时间变化和垂直变化规律,以期了解宁南山区主要植被类型的土壤水分状况及耗水特性。结果表明:不同植被类型土壤储水量在年内变化趋势整体呈“M”型,土壤储水量按照从大到小的排序为山杏林(158.35 mm)>山杏×沙棘混交林(139.72 mm)>沙棘林(123.24 mm)。不同植被类型日平均土壤含水量的变化动态相似,其变化趋势与降雨量密切相关,9月山杏林、沙棘林、山杏×沙棘混交林地的土壤含水量分别是8月的1.56、1.41、1.49倍;3种植被类型平均土壤含水量最大值均在10月,最小值均在8月。在垂直方向上,3种植被土壤水分的变化有一定的差异性,随着土层深度的增加,沙棘林土壤含水量呈先增加后降低的趋势,山杏林、山杏×沙棘混交林土壤含水量呈波形变化趋势;3种植被类型土壤水分的变异系数总体呈下降趋势,沙棘林各土层变异系数的均值最大,为39.36%。综上,山杏林土壤水分状况最好,其次是山杏×沙棘林,为该区域植被恢复与可持续管理提供重要参考依据。

关键词：宁南山区土壤水分山杏沙棘

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宁夏黄土区稀疏带状山杏人工林土壤湿度动态与影响因素

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林业科学 2024年第4期60卷 79-90页

作者：韩新生许浩蔡进军董立国郭永忠王月玲万海霞安钰宁夏农林科学院林业与草地生态研究所、宁夏防沙治沙与水土保持重点实验室、宁夏生态修复与多功能林业综合研究中心银川750002 中国水利水电科学研究院流域水循环模拟与调控国家重点实验室北京100038 宁夏农林科学院农业资源与环境研究所银川750002

【目的】以宁夏南部黄土丘陵区带状山杏人工林为例,揭示林带内与带间的不同深度处土壤湿度的时空变化及其关键环境影响因素,为半干旱区林草植被科学管理及雨水资源高效利用提供依据。【方法】2020—2022年,在宁夏彭阳县山杏人工林带内... 详细信息

【目的】以宁夏南部黄土丘陵区带状山杏人工林为例,揭示林带内与带间的不同深度处土壤湿度的时空变化及其关键环境影响因素,为半干旱区林草植被科学管理及雨水资源高效利用提供依据。【方法】2020—2022年,在宁夏彭阳县山杏人工林带内和带间各布设1套200 cm测深的智墒传感器,分层逐时监测土壤体积含水量和土壤温度变化,同时布设1台气象站连续监测近地面降水、气温、空气湿度等气象条件,采用相关分析探究土壤湿度对前1日土壤湿度、土壤温度和气象因子的响应规律。【结果】2020年和2021年为平水年,降水量分别为467.4和440.8 mm;2022年为枯水年,降水量为354.8 mm;土壤体积含水量平均值为平水年(2021年,17.0%)显著高于枯水年(2022年,14.3%)。土壤体积含水量随土层加深呈近线性增加,其斜率表现为林带间高于林带内,平水年高于枯水年。在0~120 cm土层的土壤体积含水量为林带内(15.3%)高于林带间(14.0%),但在120~200 cm土层为林带间(17.6%)高于林带内(16.8%)。在0~60 cm土层的土壤体积含水量变异系数为林带间(42.9%)高于林带内(37.8%),但在60~200 cm土层为林带内(23.2%)高于林带间(19.1%)。土壤湿度变化的季节格局为:相对稳定期(3—4月)、耗损期(5—8月)、恢复期(9—11月)和衰退期(12月—次年2月),最大值多出现在4月,最小值出现在8月(平水年)和12月(枯水年);土壤湿度变化的垂直空间格局为:速变层(0~50 cm)、活跃层(50~90 cm)、次活跃层(90~170 cm)、相对稳定层(170~200 cm)。相关分析发现,土壤湿度日变化相关性最强的环境因子为正相关的前1日土壤湿度和负相关的土壤温度,月变化相关性最强的环境因子为负相关的土壤温度。【结论】宁夏黄土区稀疏带状山杏人工林林带内和林带间土壤湿度在季节和剖面上均表现出较大波动,枯水年比平水年波动的层次更深。综合分析发现前1日土壤湿度、土壤温度、气象因子均是影响枯水年和平水年日及月尺度各剖面层次土壤湿度变化的要素。其中,前1日土壤湿度和土壤温度为主要影响因子;在0~120 cm土层内的土壤湿度为林带内高于林带间。本研究结果对宁夏半干旱黄土区水平沟整地后退化植被科学恢复及土壤水分高效利用有很好的指导意义。

关键词：山杏人工林土壤湿度土壤温度气象因子水平沟整地半干旱黄土区

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宁夏黄土区典型坡面表层土壤有机碳含量的空间变化特征及尺度效应

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林业科学 2024年第1期60卷 19-31页

作者：韩新生刘广全许浩董立国郭永忠安钰万海霞王月玲中国水利水电科学研究院北京100038 宁夏农林科学院林业与草地生态研究所、宁夏防沙治沙与水土保持重点实验室、宁夏生态修复与多功能林业综合研究中心银川750002

【目的】定量认识土壤有机碳(SOC)含量在坡面上的空间异质性及尺度效应,探索“由点及面”估算坡面平均SOC含量的精确便捷途径,为细致刻画坡面土壤资源状况、全面理解生态系统碳循环、制定土壤高质量管理方案提供科学基础。【方法】在宁... 详细信息

【目的】定量认识土壤有机碳(SOC)含量在坡面上的空间异质性及尺度效应,探索“由点及面”估算坡面平均SOC含量的精确便捷途径,为细致刻画坡面土壤资源状况、全面理解生态系统碳循环、制定土壤高质量管理方案提供科学基础。【方法】在宁夏半干旱黄土丘陵区,选择3个相邻的由退耕还林工程形成的典型坡面,从坡顶向坡脚设置连续样点,调查各样点的土地利用、植被特征、立地条件及表层(0^20 cm)SOC含量,分析其坡向差异、坡位变化;以“离坡顶的水平距离或相对距离”为自变量,以表层SOC含量的顺坡滑动平均值为因变量,定量描述坡面尺度效应;再以坡面上任一样点表层SOC含量与坡面平均值的比值为因变量,实现由“点”到“面”的尺度上推。【结果】研究区表层SOC含量存在明显的坡向差异、坡位变化、尺度效应。表层SOC含量的坡面平均值在南坡(7.60 g·kg^(-1))最高,东坡(6.42 g·kg^(-1))次之,西坡(5.65 g·kg^(-1))最低,其坡位间变幅在东坡(15.95 g·kg^(-1))最大,其次为西坡(11.34 g·kg^(-1)),最小为南坡(9.72 g·kg^(-1)),说明东坡的坡面效应最强,其次为西坡,南坡最弱。东坡、西坡、南坡表层SOC含量的坡位变化大致相同,均由坡顶向下逐渐减小,至离坡顶水平距离200、150、280 m(相对距离0.73、0.45、0.76)后趋于稳定,主要与坡面“上部为自然状态的坡地+林草植被+恢复年限长、下部为人工梯田+林农植被+扰动频繁”的空间格局有关。在东坡、西坡、南坡上,距坡顶水平距离每增加100 m,SOC含量的滑动平均值分别变化-3.40、-2.50、-1.51 g·kg^(-1);距坡顶相对距离每增加0.1,SOC含量的滑动平均值分别变化-0.96、-0.75、-0.55 g·kg^(-1)。构建3个坡向不同坡位样点表层SOC含量与坡面平均值的比值随离坡顶水平距离或相对距离增加而变化的数量关系(R^(2)>0.7,P<0.001),籍此可由坡面上任一样点表层SOC含量精确便捷地估算坡面平均值。将所有位点数据融合得出,离坡顶相对距离0.4的位点表层SOC含量最接近坡面平均值。【结论】半干旱黄土丘陵区坡面表层SOC含量沿坡从上至下基本呈先减小后稳定的变化,与土地利用类型、植被类型、恢复年限的坡面分布格局有关。以顺坡(相对)水平坡长增加为尺度变量可较好地定量刻画表层SOC含量的坡面变化特征及尺度效应,藉此可实现坡面表层SOC含量平均值的精确便捷推算。

关键词：黄土丘陵区立地条件土地利用土壤有机碳含量坡面变化尺度效应

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污染土壤绿色可持续修复理论及技术综述

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现代农业科技 2024年第3期 124-127,131页

作者：杜林峰王月玲沈彦中节能铁汉生态环境股份有限公司广东深圳518000 天津大学环境科学与工程学院天津300072

本文阐述了绿色可持续修复理论产生背景及发展历程,分析了绿色可持续修复理论与技术的关系。绿色可持续修复理论更多倾向环境管理决策层面,包括一系列的管理框架、政策、评估技术以及技术应用实践;绿色可持续修复技术则更多倾向于修复... 详细信息

本文阐述了绿色可持续修复理论产生背景及发展历程,分析了绿色可持续修复理论与技术的关系。绿色可持续修复理论更多倾向环境管理决策层面,包括一系列的管理框架、政策、评估技术以及技术应用实践;绿色可持续修复技术则更多倾向于修复技术的落地实施。在此基础上,对绿色可持续修复理论和技术的相关研究进展进行了综述,包括物理修复、化学修复、生物修复等绿色修复技术,以及生物材料、生物质基材料等绿色修复材料,并对未来土壤的绿色可持续修复发展进行了展望。

关键词：污染土壤绿色可持续修复绿色修复技术绿色修复材料

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Impact of environmental factors on water quality at multiple spatial scales and its spatial variation in Huai River Basin, China

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Science China Earth Sciences 2018年第1期61卷 82-92页

作者： XIA Jun wang LongFeng YU JingJie ZHAN CheSheng ZHANG YongYong QIAO YunFeng wang yueling Key Laboratory of Water Cycle & Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Belting 100049 China State Key Laboratory of Water Resources & Hydropower Engineering Science Wuhan University Wuhan 430072 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China

Quantitative assessment of water quality and its spatial variation identification, as well as the discernment of primary factors affecting water quality are in its urgent in water environment management. In this study, four key water quality indicators,namely, ammonia nitrogen(NH_4^+-N), permanganate index(COD_(Mn)), total phosphorus(TP) and total nitrogen(TN) at 71 sampling sites were selected to evaluate water quality and its spatial variation identification. More concerns were emphasized on the anthropogenic factors(land use pattern) and natural factors(river density, elevation and precipitation) to quantify the overall water quality variations at different spatial scales. Results showed that the Yi-Shu-Si River sub-basin had a better water quality status than the Huai River sub-basin. The moderate polluted area nearly distributed in the upper and middle reaches of the Shaying River and Guo River. The high cluster centers which were surrounded with COD_(Mn), NH_4^+-N, TN and TP mainly also distributed in the upper and middle reaches of the Shaying River and Guo River. Redundancy analysis showed that the 200 m buffer area acted as the most sensitive area, which was easily subjected to pollution. The precipitation was identified as the most important variables among all the studied hydrological units, followed by farmland, urban land or elevation. The point source pollution was still existed although the non-point source pollution was also identified. The urban surface runoff pollution was severer than farmland fertilizer loss at the sub-basin scale in flood season, while the farmland showed "small-scale" effects for explaining overall water quality variations. This research is helpful for identifying the overall water quality variations from the scale-process interactions and providing a scientific basis for pollution control and decision making for the Huai River Basin.

关键词： Fuzzy comprehensive assessment Environmental factors Moran's I Redundancy analysis Pearson's correlation analysis Huai River Basin

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垂体后叶粉中3种动物源性成分多重real-time PCR检测方法的建立及应用

引用

畜禽业 2024年第8期35卷 1-6页

作者：邵长春潘秀丽魏艳芸王月玲王蕙兰州市食品药品检验检测研究院/国家市场监管重点实验室(食品中农药兽药残留监控) 甘肃兰州730050

目的基于三重实时聚合酶链式反应(real-time polymerase chain reaction,real-time PCR)技术同时快速检测垂体后叶粉中的猪、牛、羊性动物源性成分。方法采用CTAB法提取样品及对照品DNA,以线粒体基因为靶基因设计并合成三重real-time PC... 详细信息

目的基于三重实时聚合酶链式反应(real-time polymerase chain reaction,real-time PCR)技术同时快速检测垂体后叶粉中的猪、牛、羊性动物源性成分。方法采用CTAB法提取样品及对照品DNA,以线粒体基因为靶基因设计并合成三重real-time PCR的引物探针,并对建立方法进行验证,用于检测垂体后叶粉样品是否与标识一致。结果猪、牛、羊源性成分的最低检测浓度为10 pg/μL,采用建立的方法检测3批垂体后叶粉样品,均只检测出猪源性成分。结论建立的方法可用于同时检测垂体后叶粉中的猪、牛、羊源性成分,可为相关工作提供技术支持。

关键词：垂体后叶粉多重实时聚合酶链反应种属鉴定

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