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Article ; Online: The Steady Seepage Line Equation of Ionic Rare Earth Ore (IREO) In Situ Leached with Long Strip Bare Feet and Its Application

Yong Gui / Nana Li / Sihai Luo / Guanshi Wang

Sustainability, Vol 15, Iss 2223, p

2023 Volume 2223

Abstract: Without a reliable design method for the leaching and seepage step of in situ leaching (ISL), problems such as low comprehensive resource recovery rate and frequent geological disasters such as landslides are prominent. This study established a ... ...

Abstract	Without a reliable design method for the leaching and seepage step of in situ leaching (ISL), problems such as low comprehensive resource recovery rate and frequent geological disasters such as landslides are prominent. This study established a simplified “liquid injection-collection” plane model of ISL with a linear barefoot type rare earth mine as the research object. The steady seepage line equation was derived based on groundwater dynamics and the Dupuit assumption. Then, engineering verification and calculation error analysis were performed. The seepage line equation is expressed as a piecewise function, where the seepage line in the liquid injection area is the upper half of the ellipse line, and the one in the non-liquid injection area is a parabola. The calculation error increases along the flow field direction. The seepage gradient, bedrock gradient, liquid injection range, and relative permeability coefficient have limited influence on the calculation error of the equation. The seepage line equation can be fairly applied in ISL. The seepage line equation can provide a theoretical basis for the “prior prediction (design)” of the “liquid injection/collection” leaching and seepage process in ISL.
Keywords	in situ leaching of ionic rare earth ore (IREO) ; barefoot type mine ; seepage law ; groundwater level ; leaching and seepage step ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	550
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Risk factors for the frequent attendance of older patients at community health service centers in China

Nana Li / Juan Shou

BMC Family Practice, Vol 22, Iss 1, Pp 1-

a cross-sectional study based on stratified sampling

2021 Volume 9

Abstract: Abstract Background This study aimed to investigate the characteristics of frequent attenders (FAs) among older patients in Shanghai, China, and explore the associated factors. Methods This cross-sectional study was conducted in six community health ... ...

Abstract	Abstract Background This study aimed to investigate the characteristics of frequent attenders (FAs) among older patients in Shanghai, China, and explore the associated factors. Methods This cross-sectional study was conducted in six community health service centers in Shanghai, China, from August to December 2018 based on stratified sampling. On the basis of our preliminary study, FAs were defined as those attending at least four consultations in a month. A self-administered questionnaire was used to collect the clinicodemographic data of the participants. Social support, pain severity, depression, and anxiety were evaluated using the Social Support Revalued Scale, six-point Behavioral Rating Scale, Patient Health Questionnaire–9, and Generalized Anxiety Disorder Scale, respectively. Results This study included 619 patients aged > 60 years. Among these patients, 155 (25%) were FAs to a community health service center, 366 (59.1%) had 1 or 2 chronic diseases, 179 (28.9%) had ≥3 chronic diseases, 313 (50.4%) opted for a family doctor service, and 537 (86.8%) chose a community health service center for the first consultation. The following were identified as independent risk factors for frequent attendance: widowed status, unmarried status, the presence of > 3 chronic diseases, first consultation at a community health service center, high medical expenses, frequent attendance of the spouses, long-term medication, the use of both traditional Chinese and Western medicine services, and depression. Conclusions This study summarizes the characteristics of older FAs to community health service centers in China and identifies 10 risk factors significantly associated with frequent attendance.
Keywords	Community health service center ; Frequent attender ; Frequent attendance ; China ; Older patient ; Medicine (General) ; R5-920
Subject code	360
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Electrochemical detection of uric acid in human serum based on ultrasmall Ta

Nana, Li / Ruiyi, Li / Guangli, Wang / Zaijun, Li

Mikrochimica acta

2023 Volume 190, Issue 5, Page(s) 195

Abstract: The synthesis of ultrasmall ... ...

Abstract	The synthesis of ultrasmall Ta
MeSH term(s)	Humans ; Uric Acid ; Urate Oxidase/chemistry ; Catalase ; Nanoparticles ; Quantum Dots/chemistry
Chemical Substances	Uric Acid (268B43MJ25) ; Urate Oxidase (EC 1.7.3.3) ; Catalase (EC 1.11.1.6)
Language	English
Publishing date	2023-04-27
Publishing country	Austria
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	89-9
ISSN	1436-5073 ; 0026-3672
ISSN (online)	1436-5073
ISSN	0026-3672
DOI	10.1007/s00604-023-05758-3
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Article ; Online: Predicting Diabetes and Estimating Its Economic Burden in China Using Autoregressive Integrated Moving Average Model

Di Zhu / Dongnan Zhou / Nana Li / Bing Han

International Journal of Public Health, Vol

2022 Volume 66

Abstract: Objectives: To predict the number of people with diabetes and estimate the economic burden in China.Methods: Data from natural logarithmic transformation of the number of people with diabetes in China from 2000 to 2018 were selected to fit the ... ...

Abstract	Objectives: To predict the number of people with diabetes and estimate the economic burden in China.Methods: Data from natural logarithmic transformation of the number of people with diabetes in China from 2000 to 2018 were selected to fit the autoregressive integrated moving average (ARIMA) model, and 2019 data were used to test it. The bottom-up and human capital approaches were chosen to estimate the direct and indirect economic burden of diabetes respectively.Results: The number of people with diabetes in China would increase in the future. The ARIMA model fitted and predicted well. The number of people with diabetes from 2020 to 2025 would be about 94, 96, 97, 98, 99 and 100 m respectively. The economic burden of diabetes from 2019 to 2025 would be about $156b, $160b, $163b, $165b, $167b, $169b and $170b respectively.Conclusion: The situation of diabetes in China is serious. The ARIMA model can be used to predict the number of people with diabetes. We should allocate health resources in a rational manner to improve the prevention and control of diabetes.
Keywords	China ; diabetes ; ARIMA model ; economic burden ; prevalence trend ; Public aspects of medicine ; RA1-1270
Subject code	950 ; 571
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Localized Downscaling of Urban Land Surface Temperature—A Case Study in Beijing, China

Nana Li / Hua Wu / Xiaoying Ouyang

Remote Sensing, Vol 14, Iss 2390, p

2022 Volume 2390

Abstract: High-resolution land surface temperature (LST) data are essential for fine-scale urban thermal environment studies. Urban LST downscaling studies mostly remain focused on only two-dimensional (2-D) data, and neglect the impact of three-dimensional (3-D) ... ...

Abstract	High-resolution land surface temperature (LST) data are essential for fine-scale urban thermal environment studies. Urban LST downscaling studies mostly remain focused on only two-dimensional (2-D) data, and neglect the impact of three-dimensional (3-D) surface structure on LST. In addition, the choice of window size is also important for LST downscaling over heterogeneous surfaces. In this study, we downscaled Landsat-LST using localized and stepwise approaches in a random forest model (RF). In addition, both 2- and 3-D building morphologies were included. Our results show that: (1) The performances of a local moving window and stepwise downscaling are dependent on the extent of surface heterogeneity. For mixed surfaces, a localized window performed better than the global window, and a stepwise approach performed better than a single-step approach. However, for monotonous surfaces (e.g., urban impervious surfaces), the global window performed better than a localized window; (2) That multi-scale geographically weighted regression (MGWR) could provide a possibility for selection of the optimal moving window. 7 × 7 windows derived from MGWR by the minimum bandwidth of predictors, performed better than other windows (3 × 3, 5 × 5, and 11 × 11) in the Beijing area; (3) That the morphology of buildings has a non-negligible impact and scaling effect on urban LST. When building morphologies were included in downscaling, the performance of the RF model improved. Furthermore, the importance of the sky view factor, building height, and building density was greater at a higher resolution than at a lower resolution.
Keywords	urban land surface temperature downscaling ; random forest ; building morphology ; optimal local-window size ; stepwise downscaling ; Beijing area ; Science ; Q
Subject code	690
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effects of five years conservation tillage for hedging against drought, stabilizing maize yield, and improving soil environment in the drylands of northern China

Zizheng Deng / Mingjing Huang / Wuping Zhang / Guofang Wang / Xuefang Huang / Gaimei Liang / Nana Li

PLoS ONE, Vol 18, Iss

2023 Volume 3

Abstract: Continuous tillage cultivation positioning trials can provide the basis for maintaining soil health, improving resource utilization efficiency and crop productivity, and achieving sustainable agricultural development. In this study, changes in soil ... ...

Abstract	Continuous tillage cultivation positioning trials can provide the basis for maintaining soil health, improving resource utilization efficiency and crop productivity, and achieving sustainable agricultural development. In this study, changes in soil stability and water–holding capacity characteristics were measured under different tillage cultivations from a multi–year microscopic perspective and analyzed to evaluate selected key indicators. Continuous monitoring of rainfall utilization efficiency and yield was carried out for five years. Here, we discuss the role of conservation tillage in buffering and stabilizing rainfall precipitation pattern on the fluctuation and uncertainty of soil water retention and water supply capacity and soil quality. The study was carried out on dryland areas of the Loess Plateau in northern China with eight tillage systems established in 2016: no–tillage (NT); no–tillage and straw (NTS); subsoiling (SU); subsoiling and straw (SUS); rotary tillage (RT); rotary tillage and straw (RTS); conventional tillage (CT); and conventional tillage and straw (CTS). All treatments were applied in conjunction with continuous cropping for five years. The evaluated soil parameters were mean weight diameter (MWD), geometric mean diameter (GMD), >0.25 mm aggregate content (R0.25) of water–stable aggregates (WSAs), soil moisture characteristic curve (SMCC), specific soil water capacity (Cθ), soil organic matter (SOM), rainfall utilization efficiency (RUE), and maize yields for five consecutive years. The MWD, GMD, and R0.25 of SUS were 27.38%, 17.57%, and 7.68% more than CTS (control), respectively. Overall, SOM, average annual RUE, and average annual yields increased by 14.64%, 11.89%, and 9.59%, respectively, compared with 2016. Our results strongly suggest that conservation tillage can considerably improve these characterization indicators. SUS was more effective than CTS in the 0–40 cm soil layer at hedging against drought in the area, stabilizing crop production, and achieving sustainable ...
Keywords	Medicine ; R ; Science ; Q
Subject code	630
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effects of five years conservation tillage for hedging against drought, stabilizing maize yield, and improving soil environment in the drylands of northern China.

Zizheng Deng / Mingjing Huang / Wuping Zhang / Guofang Wang / Xuefang Huang / Gaimei Liang / Nana Li

PLoS ONE, Vol 18, Iss 3, p e

2023 Volume 0282359

Abstract	Continuous tillage cultivation positioning trials can provide the basis for maintaining soil health, improving resource utilization efficiency and crop productivity, and achieving sustainable agricultural development. In this study, changes in soil stability and water-holding capacity characteristics were measured under different tillage cultivations from a multi-year microscopic perspective and analyzed to evaluate selected key indicators. Continuous monitoring of rainfall utilization efficiency and yield was carried out for five years. Here, we discuss the role of conservation tillage in buffering and stabilizing rainfall precipitation pattern on the fluctuation and uncertainty of soil water retention and water supply capacity and soil quality. The study was carried out on dryland areas of the Loess Plateau in northern China with eight tillage systems established in 2016: no-tillage (NT); no-tillage and straw (NTS); subsoiling (SU); subsoiling and straw (SUS); rotary tillage (RT); rotary tillage and straw (RTS); conventional tillage (CT); and conventional tillage and straw (CTS). All treatments were applied in conjunction with continuous cropping for five years. The evaluated soil parameters were mean weight diameter (MWD), geometric mean diameter (GMD), >0.25 mm aggregate content (R0.25) of water-stable aggregates (WSAs), soil moisture characteristic curve (SMCC), specific soil water capacity (Cθ), soil organic matter (SOM), rainfall utilization efficiency (RUE), and maize yields for five consecutive years. The MWD, GMD, and R0.25 of SUS were 27.38%, 17.57%, and 7.68% more than CTS (control), respectively. Overall, SOM, average annual RUE, and average annual yields increased by 14.64%, 11.89%, and 9.59%, respectively, compared with 2016. Our results strongly suggest that conservation tillage can considerably improve these characterization indicators. SUS was more effective than CTS in the 0-40 cm soil layer at hedging against drought in the area, stabilizing crop production, and achieving sustainable ...
Keywords	Medicine ; R ; Science ; Q
Subject code	630
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The future urban growth under policies and its ecological effect in the Jing-Jin-Ji area, China

Nana Li / Shiguang Miao / Yaoting Wang

Heliyon, Vol 7, Iss 4, Pp e06786- (2021)

2021

Abstract: Since 2016, the Chinese government has invoked some policies to make Jing-Jin-Ji (JJJ) a new urban agglomeration. However, there has been no research to study the effect of these new policies on future urban growth. This study assessed part of these new ... ...

Abstract	Since 2016, the Chinese government has invoked some policies to make Jing-Jin-Ji (JJJ) a new urban agglomeration. However, there has been no research to study the effect of these new policies on future urban growth. This study assessed part of these new policies on JJJ urban growth in 2020–2050 using SLEUTH model. Then the ecological effects of the urban growth are evaluated. Results showed the policies had nearly no obvious impact on the whole JJJ urban growth, but affected sub-regional (Beijing, Tianjin and Hebei, respectively) urban growth. Under ecological protection in future, the value of ecological service in JJJ would increase to a maximum of 31.7×108 Yuan/km2 in 2031. The ecological elasticity also increased and the ecological risk was strongly reduced around the present urban area. This ecologically sustainable development is critical to the future urban growth, and should be considered more carefully by urban planners and managers. More policies should be evaluated for JJJ urban growth in future work.
Keywords	Future urban growth ; Government policy ; Ecological effect ; SLEUTH model ; Remote sensing and GIS ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	710
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Monitoring Indicators for Comprehensive Growth of Summer Maize Based on UAV Remote Sensing

Hao Ma / Xue Li / Jiangtao Ji / Hongwei Cui / Yi Shi / Nana Li / Ce Yang

Agronomy, Vol 13, Iss 12, p

2023 Volume 2888

Abstract: Maize is one of the important grain crops grown globally, and growth will directly affect its yield and quality, so it is important to monitor maize growth efficiently and non-destructively. To facilitate the use of unmanned aerial vehicles (UAVs) for ... ...

Abstract	Maize is one of the important grain crops grown globally, and growth will directly affect its yield and quality, so it is important to monitor maize growth efficiently and non-destructively. To facilitate the use of unmanned aerial vehicles (UAVs) for maize growth monitoring, comprehensive growth indicators for maize monitoring based on multispectral remote sensing imagery were established. First of all, multispectral image data of summer maize canopy were collected at the jointing stage, and meanwhile, leaf area index (LAI), relative chlorophyll content (SPAD), and plant height (VH) were measured. Then, the comprehensive growth monitoring indicators CGMI CV and CGMI CR for summer maize were constructed by the coefficient of variation method and the CRITIC weighting method. After that, the CGMI CV and CGMI CR prediction models were established by the partial least-squares (PLSR) and sparrow search optimization kernel extremum learning machine (SSA-KELM) using eight typical vegetation indices selected. Finally, a comparative analysis was performed using ground-truthing data, and the results show: (1) For CGMI CV , the R 2 and RMSE of the model built by SSA-KELM are 0.865 and 0.040, respectively. Compared to the model built by PLSR, R 2 increased by 4.5%, while RMSE decreased by 0.3%. For CGMI CR , the R 2 and RMSE of the model built by SSA-KELM are 0.885 and 0.056, respectively. Compared to the other model, R 2 increased by 4.6%, and RMSE decreased by 2.8%. (2) Compared to the models by single indicator, among the models constructed based on PLSR, the CGMI CR model had the highest R 2 . In the models constructed based on SSA-KELM, the R 2 of models by the CGMI CR and CGMI CV were larger than that of the models by SPAD ( R 2 = 0.837), while smaller than that of the models by LAI ( R 2 = 0.906) and models by VH ( R 2 = 0.902). In summary, the comprehensive growth monitoring indicators prediction model established in this paper is effective and can provide technical support for maize growth monitoring.
Keywords	multispectral remote sensing ; summer maize ; comprehensive growth ; SSA-KELM ; vegetation index ; Agriculture ; S
Subject code	333
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Anomaly-Based Ship Detection Using SP Feature-Space Learning with False-Alarm Control in Sea-Surface SAR Images

Xueli Pan / Nana Li / Lixia Yang / Zhixiang Huang / Jie Chen / Zhenhua Wu / Guoqing Zheng

Remote Sensing, Vol 15, Iss 3258, p

2023 Volume 3258

Abstract: Synthetic aperture radar (SAR) can provide high-resolution and large-scale maritime monitoring, which is beneficial to ship detection. However, ship-detection performance is significantly affected by the complexity of environments, such as uneven ... ...

Abstract	Synthetic aperture radar (SAR) can provide high-resolution and large-scale maritime monitoring, which is beneficial to ship detection. However, ship-detection performance is significantly affected by the complexity of environments, such as uneven scattering of ship targets, the existence of speckle noise, ship side lobes, etc. In this paper, we present a novel anomaly-based detection method for ships using feature learning for superpixel (SP) processing cells. First, the multi-feature extraction of the SP cell is carried out, and to improve the discriminating ability for ship targets and clutter, we use the boundary feature described by the Haar-like descriptor, the saliency texture feature described by the non-uniform local binary pattern (LBP), and the intensity attention contrast feature to construct a three-dimensional (3D) feature space. Besides the feature extraction, the target classifier or determination is another key step in ship-detection processing, and therefore, the improved clutter-only feature-learning (COFL) strategy with false-alarm control is designed. In detection performance analyses, the public datasets HRSID and LS-SSDD-v1.0 are used to verify the method’s effectiveness. Many experimental results show that the proposed method can significantly improve the detection performance of ship targets, and has a high detection rate and low false-alarm rate in complex background and multi-target marine environments.
Keywords	superpixel (SP) processing cell ; boundary feature ; saliency texture feature ; intensity attention contrast feature ; clutter-only feature learning (COFL) ; Science ; Q
Subject code	004
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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