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Book ; Online: Crops and Vegetation Monitoring with Remote/Proximal Sensing

Omasa, Kenji / Lu, Shan / Wang, Jie

2023

Keywords	Research & information: general ; Geography ; rice and wheat ; nitrogen remote sensing ; quantitative retrieval ; research prospect ; vegetation phenology ; snow cover ; vegetation index ; SOS ; Tibetan Plateau ; remote sensing ; forest diversity ; GEDI LiDAR ; Sentinel-2 ; machine Learning ; yield forecasting ; logistic model ; normalization method ; crop canopy temperature ; maize ; broadband vegetation indices ; chlorophyll content ; leaf angle distribution ; WorldView-2 ; RapidEye ; GaoFen-6 ; random forest ; land evaluation ; soil ; biomass ; Hungary ; gross primary productivity ; soil health ; soil quality ; coastal marsh ; continuum removal ; hyperspectral ; spectral signatures ; unmanned aerial vehicle (UAV) ; vegetation species discrimination ; second derivative transformation ; canopy temperature ; crop water status index ; accuracy assessment ; peach orchard ; stem water potential ; backscatter ; gradient boosting ; machine learning ; NDVI ; precision agriculture ; forest stock volume ; NDVIRE ; Helan mountains ; convolutional neural networks (CNNs) ; unmanned aerial vehicles (UAVs) ; semi-natural grasslands ; plant communities ; time series ; reconstruction algorithm ; smoothing ; optical remote sensing ; cropping intensity ; temporal mixture analysis ; endmember ; unmixing ; time series images
Language	English
Size	1 electronic resource (290 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030645652
ISBN	9783036594477 ; 3036594477
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Multiphase MR angiography collateral map in brain stroke: may we shift the time from an absolute to the relative for therapy decisions?

Lu, Shan-Shan

European radiology

2023 Volume 34, Issue 3, Page(s) 1409–1410

MeSH term(s)	Humans ; Ischemic Stroke ; Stroke/diagnostic imaging ; Stroke/therapy ; Brain/diagnostic imaging ; Magnetic Resonance Angiography
Language	English
Publishing date	2023-10-10
Publishing country	Germany
Document type	Editorial ; Comment
ZDB-ID	1085366-2
ISSN	1432-1084 ; 0938-7994 ; 1613-3749
ISSN (online)	1432-1084
ISSN	0938-7994 ; 1613-3749
DOI	10.1007/s00330-023-10275-1
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Article ; Online: Decision-Making Application of the Cloud-Fog Hybrid Model Based on the Improved Convolutional Neural Network in Financial Services in Smart Medical Care.

Lu, Shan

publication RETRACTED

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 5732379

Abstract: In order to alleviate the "difficulty in seeing a doctor" for the masses, continuously optimize the service process, and explore new financial service processes for admission and discharge, this study proposes a cloud-fog hybrid model UCNN-BN based on an ...

Abstract	In order to alleviate the "difficulty in seeing a doctor" for the masses, continuously optimize the service process, and explore new financial service processes for admission and discharge, this study proposes a cloud-fog hybrid model UCNN-BN based on an improved convolutional neural network and applies it to financial services in smart medical care. Decision-making applications: this research improves and designs the UCNN network based on AlexNet and introduces small convolution layers to form convolution groups, making the network more adjustable. The network structure is simpler and more flexible, and it is easy to adjust the algorithm. The number of parameters is small, and it can be directly superimposed without having to add new network hidden layers. The experimental results show that the recognition rate of the UCNN network on the FER2013 and CK+ datasets is higher than that of other recognition methods, and the recognition rates on the FER2013 and CK+ datasets are 98% and 68.01%, due to other methods. This shows that the improved convolutional neural network used in this study for financial services in smart medical care has certain applicability, and small convolution kernels help to extract more subtle features, so as to identify more accurately.
MeSH term(s)	Algorithms ; Neural Networks, Computer
Language	English
Publishing date	2022-08-09
Publishing country	United States
Document type	Journal Article ; Retracted Publication
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/5732379
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Article ; Online: Intensified discrimination against tenants and its health effects during the COVID-19 pandemic in large Chinese cities

Lu Shan / Shenjing He

Scientific Reports, Vol 13, Iss 1, Pp 1-

2023 Volume 11

Abstract: Abstract The COVID-19 pandemic in many senses reconstructs social norms and reshapes social behaviour, which typically assumes a close correlation between mobility with a higher risk of COVID-19 infection. This may intensify the pre-existing ... ...

Abstract	Abstract The COVID-19 pandemic in many senses reconstructs social norms and reshapes social behaviour, which typically assumes a close correlation between mobility with a higher risk of COVID-19 infection. This may intensify the pre-existing discrimination against tenants and widen tenure-based health inequalities. Drawing on an online questionnaire survey conducted in five major cities in China in 2020, we employ multi-level regression models to examine the intensified discrimination against tenants during COVID-19 and its impacts on residents’ physical and mental health inequalities. Results show that the pre-existing inequalities have been intensified during COVID-19 and the perceived discrimination has rendered worsened self-rated health and mental health and enlarged health inequalities. The discrimination particularly affected tenants with better economic profiles or worse health conditions; by contrast, despite being exposed to more tenant-related discriminatory experiences, rural hukou holders suffered from less severe health inequalities. A clear linkage is found between renting in poorly-managed and larger health gaps generated by discrimination. The negative health impact of intensified discrimination is found to be more significant in communities with lower infection risk, which points to the necessity of understanding the long-term health impact of discrimination against tenants in a more holistic way. In terms of community environment, we discover a positive effect of community social capital, i.e., higher level social capital helps mitigate the health threat of discrimination against tenants during COVID-19. Besides, public housing tenants reported better health outcomes and were less exposed to intensified discrimination during COVID-19 than private housing tenants. These findings provide a nuanced understanding of variations determined by individual and territorial factors, thus present timely policy implications for promoting healthy and inclusive urban development in the post-pandemic era.
Keywords	Medicine ; R ; Science ; Q
Subject code	360
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Timely development of vaccines against SARS-CoV-2.

Lu, Shan

Emerging microbes & infections

2020 Volume 9, Issue 1, Page(s) 542–544

MeSH term(s)	Animals ; Betacoronavirus/immunology ; COVID-19 ; COVID-19 Vaccines ; Coronavirus Infections/epidemiology ; Coronavirus Infections/immunology ; Coronavirus Infections/prevention & control ; Disease Outbreaks ; Drug Design ; Humans ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/immunology ; Pneumonia, Viral/prevention & control ; SARS-CoV-2 ; Viral Vaccines/immunology
Chemical Substances	COVID-19 Vaccines ; Viral Vaccines
Keywords	covid19
Language	English
Publishing date	2020-03-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	2681359-2
ISSN	2222-1751 ; 2222-1751
ISSN (online)	2222-1751
ISSN	2222-1751
DOI	10.1080/22221751.2020.1737580
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Article: Dozer: Debiased personalized gene co-expression networks for population-scale scRNA-seq data.

Lu, Shan / Keleş, Sündüz

bioRxiv : the preprint server for biology

2023

Abstract: Population-scale single cell RNA-seq (scRNA-seq) datasets create unique opportunities for quantifying expression variation across individuals at the gene co-expression network level. Estimation of co-expression networks is well-established for bulk RNA- ... ...

Abstract	Population-scale single cell RNA-seq (scRNA-seq) datasets create unique opportunities for quantifying expression variation across individuals at the gene co-expression network level. Estimation of co-expression networks is well-established for bulk RNA-seq; however, single-cell measurements pose novel challenges due to technical limitations and noise levels of this technology. Gene-gene correlation estimates from scRNA-seq tend to be severely biased towards zero for genes with low and sparse expression. Here, we present Dozer to debias gene-gene correlation estimates from scRNA-seq datasets and accurately quantify network level variation across individuals. Dozer corrects correlation estimates in the general Poisson measurement model and provides a metric to quantify genes measured with high noise. Computational experiments establish that Dozer estimates are robust to mean expression levels of the genes and the sequencing depths of the datasets. Compared to alternatives, Dozer results in fewer false positive edges in the co-expression networks, yields more accurate estimates of network centrality measures and modules, and improves the faithfulness of networks estimated from separate batches of the datasets. We showcase unique analyses enabled by Dozer in two population-scale scRNA-seq applications. Co-expression network-based centrality analysis of multiple differentiating human induced pluripotent stem cell (iPSC) lines yields biologically coherent gene groups that are associated with iPSC differentiation efficiency. Application with population-scale scRNA-seq of oligodendrocytes from postmortem human tissues of Alzheimer disease and controls uniquely reveals co-expression modules of innate immune response with markedly different co-expression levels between the diagnoses. Dozer represents an important advance in estimating personalized co-expression networks from scRNA-seq data.
Language	English
Publishing date	2023-04-29
Publishing country	United States
Document type	Preprint
DOI	10.1101/2023.04.25.538290
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Article ; Online: Debiased personalized gene coexpression networks for population-scale scRNA-seq data.

Lu, Shan / Keleş, Sündüz

Genome research

2023 Volume 33, Issue 6, Page(s) 932–947

Abstract: Population-scale single-cell RNA-seq (scRNA-seq) data sets create unique opportunities for quantifying expression variation across individuals at the gene coexpression network level. Estimation of coexpression networks is well established for bulk RNA- ... ...

Abstract	Population-scale single-cell RNA-seq (scRNA-seq) data sets create unique opportunities for quantifying expression variation across individuals at the gene coexpression network level. Estimation of coexpression networks is well established for bulk RNA-seq; however, single-cell measurements pose novel challenges owing to technical limitations and noise levels of this technology. Gene-gene correlation estimates from scRNA-seq tend to be severely biased toward zero for genes with low and sparse expression. Here, we present Dozer to debias gene-gene correlation estimates from scRNA-seq data sets and accurately quantify network-level variation across individuals. Dozer corrects correlation estimates in the general Poisson measurement model and provides a metric to quantify genes measured with high noise. Computational experiments establish that Dozer estimates are robust to mean expression levels of the genes and the sequencing depths of the data sets. Compared with alternatives, Dozer results in fewer false-positive edges in the coexpression networks, yields more accurate estimates of network centrality measures and modules, and improves the faithfulness of networks estimated from separate batches of the data sets. We showcase unique analyses enabled by Dozer in two population-scale scRNA-seq applications. Coexpression network-based centrality analysis of multiple differentiating human induced pluripotent stem cell (iPSC) lines yields biologically coherent gene groups that are associated with iPSC differentiation efficiency. Application with population-scale scRNA-seq of oligodendrocytes from postmortem human tissues of Alzheimer's disease and controls uniquely reveals coexpression modules of innate immune response with distinct coexpression levels between the diagnoses. Dozer represents an important advance in estimating personalized coexpression networks from scRNA-seq data.
MeSH term(s)	Humans ; Gene Expression Profiling/methods ; Single-Cell Gene Expression Analysis ; Sequence Analysis, RNA/methods ; Single-Cell Analysis/methods ; Induced Pluripotent Stem Cells
Language	English
Publishing date	2023-06-09
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	1284872-4
ISSN	1549-5469 ; 1088-9051 ; 1054-9803
ISSN (online)	1549-5469
ISSN	1088-9051 ; 1054-9803
DOI	10.1101/gr.277363.122
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Article ; Online: Optimizing the medical equipment investment in primary care centres in rural China: evidence from a panel threshold model.

Xu, Wanchun / Pan, Zijing / Zhang, Liang / Lu, Shan

BMC health services research

2024 Volume 24, Issue 1, Page(s) 160

Abstract: Background: The previous "one-size-fits-all" practice in resource allocation can no longer adapt to the spatial variation in population and health needs. This study aimed to investigate the spatially heterogeneous effect of medical equipment investment ... ...

Abstract	Background: The previous "one-size-fits-all" practice in resource allocation can no longer adapt to the spatial variation in population and health needs. This study aimed to investigate the spatially heterogeneous effect of medical equipment investment in the township health centres in rural China to optimize the investment strategies. Methods: Based on the national-scale stratified multistage cluster sampling, 319 township health centres from six provinces were included in the study. The retrospective data from 2013 to 2017 were collected for each sampled township health centres and the corresponding township community. The panel threshold regression model was applied to estimate the nonlinear effect of medical equipment increment on the service utilization due to the township communities' urbanization degree. The influence of township community remoteness on the effects of equipment increment was investigated through subgroup analysis. Results: Among the township health centres in the neighbouring towns of the county seat (travel time to the county seat < 1 h), the significant effect of medical equipment increment was only found in the township health centres of the towns with high urbanization degrees (the proportion of the residents living in the built-up area > 69.89%), of which the effect size was 774.81 (95% CI 495.63, 1053.98, p < 0.05). Among the township health centres in the remote towns (travel time ≥ 1 h), the effect of medical equipment increment in the township health centres of the low urbanized towns (urban ≤ 5.99%, β = 1052.54, p < 0.01) was around four times the size of that of the counterparts (urban > 5.99%, β = 237.00, p < 0.01). Conclusion: This study demonstrated the spatially heterogeneous effect of medical equipment investment in the primary care centres in rural China. The priority of the equipment investment was suggested to be given to the township health centres in the remote towns with a low urbanization degree and those in the highly-urbanized neighbouring towns of the county seats.
MeSH term(s)	Humans ; Retrospective Studies ; China/epidemiology ; Rural Population ; Urbanization ; Primary Health Care
Language	English
Publishing date	2024-02-01
Publishing country	England
Document type	Journal Article
ZDB-ID	2050434-2
ISSN	1472-6963 ; 1472-6963
ISSN (online)	1472-6963
ISSN	1472-6963
DOI	10.1186/s12913-024-10596-x
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Article: Mechanisms of gas sensing by internal sensory neurons in

Lu, Shan / Qian, Cheng Sam / Grueber, Wesley B

bioRxiv : the preprint server for biology

2024

Abstract: Internal sensory neurons monitor the chemical and physical state of the body, providing critical information to the central nervous system for maintaining homeostasis and survival. A population of ... ...

Abstract	Internal sensory neurons monitor the chemical and physical state of the body, providing critical information to the central nervous system for maintaining homeostasis and survival. A population of larval
Language	English
Publishing date	2024-01-20
Publishing country	United States
Document type	Preprint
DOI	10.1101/2024.01.20.576342
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Article ; Online: A longitudinal investigation of the cross-dimensional mediating role of negative life events between neuroticism and depressive symptoms in adolescents.

Zheng, Sha / Wang, Jieyi / Lu, Shan / Xiao, Jing

Journal of affective disorders

2024 Volume 355, Page(s) 333–341

Abstract: Background: Neuroticism has been identified as a significant predictor for depression within the adolescent population However, few longitudinal studies have investigated this association and explored the mediation effect of the negative life events. ... ...

Abstract	Background: Neuroticism has been identified as a significant predictor for depression within the adolescent population However, few longitudinal studies have investigated this association and explored the mediation effect of the negative life events. This study aimed to examine the longitudinal association between neuroticism, negative life events, and depression in a large sample of Chinese adolescents. Methods: Data on Five Factor Inventory-Neuroticism Subscale (FFI-N) was collected from 1150 participants aged 14-19 years old at baseline, and data on Adolescent Life Event Questionnaire (ALEQ) and Center of Epidemiological Study-Depression (CES-D) were collected both at baseline and 6-month follow-up. Multilevel modelings were used to analyze the longitudinal associations among neuroticism, negative life events and depression. Results: Through a longitudinal study design, results from multilevel regression analyses indicated a direct correlation between increased levels of neuroticism and the aggregation of negative life events with the prediction of more severe depressive symptoms. Further, results of multilevel mediations suggested that the negative life events served to partially mediate the relationship between neuroticism and each dimension of depression. Limitations: The results cannot be used to make a clinical diagnosis. Conclusion: The current findings suggest the negative life events as a cross-dimensional mediator in the relationship between neuroticism and each dimension of depression. Regulating neuroticism levels and implementing strategies to coping stress derived from daily life events could be integral approaches to reducing the prevalence of depression within the adolescent population.
MeSH term(s)	Humans ; Adolescent ; Young Adult ; Adult ; Neuroticism ; Depression/epidemiology ; Longitudinal Studies ; Surveys and Questionnaires ; Coping Skills
Language	English
Publishing date	2024-04-01
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	135449-8
ISSN	1573-2517 ; 0165-0327
ISSN (online)	1573-2517
ISSN	0165-0327
DOI	10.1016/j.jad.2024.03.151
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