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  1. Book ; Thesis: Design and validation of a bioreactor system to stimulate the cardiac niche

    Lu, Liang

    2012  

    Author's details von Liang Lu
    Language English
    Size 89 S. : Ill., graph. Darst.
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dresden, Techn. Univ., Med. Fak., Diss., 2012
    Note Zsfassung in engl. und dt. Sprache
    HBZ-ID HT017616285
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2013 E 382 order for loan Magazin

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  2. Article ; Online: Analysis of the application effect of the FOCUS-PDCA cycle management model in improving the disinfection quality of reusable instruments in the disinfection supply center.

    Hu, Yingdi / Chen, Min / Yao, Yuhong / Lu, Liang

    Minerva medica

    2024  

    Language English
    Publishing date 2024-02-20
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 123586-2
    ISSN 1827-1669 ; 0026-4806
    ISSN (online) 1827-1669
    ISSN 0026-4806
    DOI 10.23736/S0026-4806.24.09165-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder

    Lu Liang / Jacob Daniels / Michael Biancardi / Yuye Zhou

    Scientific Data, Vol 10, Iss 1, Pp 1-

    2023  Volume 12

    Abstract: Abstract Aerosol Optical Depth (AOD) is a crucial atmospheric parameter in comprehending climate change, air quality, and its impacts on human health. Satellites offer exceptional spatiotemporal AOD data continuity. However, data quality is influenced by ...

    Abstract Abstract Aerosol Optical Depth (AOD) is a crucial atmospheric parameter in comprehending climate change, air quality, and its impacts on human health. Satellites offer exceptional spatiotemporal AOD data continuity. However, data quality is influenced by various atmospheric, landscape, and instrumental factors, resulting in data gaps. This study presents a new solution to this challenge by providing a long-term, gapless satellite-derived AOD dataset for Texas from 2010 to 2022, utilizing Moderate Resolution Imaging Spectroradiometer (MODIS) Multi-angle Implementation of Atmospheric Correction (MAIAC) products. Missing AOD data were reconstructed using a spatiotemporal Long Short-Term Memory (LSTM) convolutional autoencoder. Evaluation against an independent test dataset demonstrated the model’s effectiveness, with an average Root Mean Square Error (RMSE) of 0.017 and an R2 value of 0.941. Validation against the ground-based AERONET dataset indicated satisfactory agreement, with RMSE values ranging from 0.052 to 0.067. The reconstructed AOD data are available at daily, monthly, quarterly, and yearly scales, providing a valuable resource to advance understanding of the Earth’s atmosphere and support decision-making concerning air quality and public health.
    Keywords Science ; Q
    Subject code 333
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Information-based interventions for household water efficiency in England and Wales: evidence, barriers and learning opportunities

    Lü, Liang

    International Journal of Water Resources Development. 2020 Nov. 01, v. 36, no. 6 p.926-939

    2020  

    Abstract: Following the call of the UK’s Department for Environment, Food and Rural Affairs in its recent Water Efficiency and Behaviour Change Rapid Evidence Assessment 2018, this article seeks to understand the key barriers to effective information-based ... ...

    Abstract Following the call of the UK’s Department for Environment, Food and Rural Affairs in its recent Water Efficiency and Behaviour Change Rapid Evidence Assessment 2018, this article seeks to understand the key barriers to effective information-based interventions to encourage household water efficiency in England and Wales and their implications. We review the evidence on information provision to conserve water in England and Wales. We then set out the current key barriers, highlight what might have contributed to the barriers and, based on learnings from the literature, clarify some underlying confusion and suggest ways to improve.
    Keywords behavior change ; water ; England ; Behavioural intervention ; field experiment ; social norm ; water demand management ; water efficiency ; water conservation
    Language English
    Dates of publication 2020-1101
    Size p. 926-939.
    Publishing place Routledge
    Document type Article ; Online
    Note NAL-AP-2-clean
    ZDB-ID 2016525-0
    ISSN 1360-0648 ; 0790-0627
    ISSN (online) 1360-0648
    ISSN 0790-0627
    DOI 10.1080/07900627.2019.1684244
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  5. Article ; Online: Comparative genomics revealed drastic gene difference in two small Chinese perches, Siniperca undulata and S. obscura.

    Lu, Liang / Jiang, Junlong / Zhao, Jinliang / Li, Chenhong

    G3 (Bethesda, Md.)

    2023  Volume 13, Issue 7

    Abstract: Siniperca undulata and S. obscura (Centrarchiformes: Sinipercidae) are small Chinese perches, living in creeks and streams in southern China. While they have sympatric distribution and occupy similar macrohabitat, their body sizes and ecological niches ... ...

    Abstract Siniperca undulata and S. obscura (Centrarchiformes: Sinipercidae) are small Chinese perches, living in creeks and streams in southern China. While they have sympatric distribution and occupy similar macrohabitat, their body sizes and ecological niches have many differences. Determining the genome sequences of S. undulata and S. obscura would provide us an essential data set for better understanding their genetic makeup and differences that may play important roles in their adaptation to different niches. We determined the genome sequences of both S. undulata and S. obscura using 10× genomics technology and the next-generation sequencing. The assembled genomes of S. undulata and S. obscura were 744 and 733 Mb, respectively. Gene family analysis revealed that there were no overlap between S. undulata and S. obscura in terms of rapid expanding and rapid contracting genes families, which were related to growth, immunity, and mobility. Positive selection analyses also cooperated that the function of selected genes involve growth, athletic ability, and immunity, which may explain the preference of different niches by S. undulata and S. obscura. Pairwise sequentially Markovian coalescent analyses for the two species suggested that populations of both S. undulata and S. obscura showed a rising trend between 90 and 70 Ka probably due to the mild environment during the last interglacial period. A stage of population shrinking occurred from 70 to 20 Ka, which was in with the Tali glacial period in eastern China (57-16 Ka).
    MeSH term(s) Animals ; China ; Genome ; Genomics ; Perches/genetics
    Language English
    Publishing date 2023-05-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2629978-1
    ISSN 2160-1836 ; 2160-1836
    ISSN (online) 2160-1836
    ISSN 2160-1836
    DOI 10.1093/g3journal/jkad101
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  6. Article ; Online: Spatiotemporal variations and potential influencing factors of hemorrhagic fever with renal syndrome: A case study in Weihe Basin, China.

    Zhu, Lingli / Lu, Liang / Li, Shujuan / Ren, Hongyan

    PLoS neglected tropical diseases

    2023  Volume 17, Issue 4, Page(s) e0011245

    Abstract: Background: Hemorrhagic fever with renal syndrome (HFRS) is a widespread zoonotic disease seriously threatening Chinese residents' health. HFRS of Weihe Basin remains highly prevalent in recent years and attracts wide attention. With the acceleration of ...

    Abstract Background: Hemorrhagic fever with renal syndrome (HFRS) is a widespread zoonotic disease seriously threatening Chinese residents' health. HFRS of Weihe Basin remains highly prevalent in recent years and attracts wide attention. With the acceleration of urbanization and related environmental changes, the interaction among anthropogenic activities, environmental factors, and host animals becomes more complicated in this area, which posed increasingly complex challenges for implementing effective prevention measures. Identifying the potential influencing factors of continuous HFRS epidemics in this typical area is critical to make targeted prevention and control strategies.
    Methods: Spatiotemporal characteristics of HFRS epidemic were analyzed based on HFRS case point data in Weihe Basin from 2005 to 2020. MaxEnt models were constructed to explore the main influencing factors of HFRS epidemic based on HFRS data, natural environment factors and socioeconomic factors.
    Results: Results showed that the HFRS epidemics in Weihe Basin were temporally divided into three periods (the relatively stable period, the rapid rising period, and the fluctuating rising period) and were spatially featured by relatively concentrated in the plains alongside the Weihe River. Landscape played controlling effect in this area while land use, vegetation and population in the area interacted with each other and drove the change of HFRS epidemic. The potential high-risk area for HFRS epidemic was 419 km2, where the HFRS case density reached 12.48 cases/km2, especially in the northern plains of Xi'an City.
    Conclusion: We suggested that the temporal and spatial variations in the HFRS epidemics, as well as their dominant influencing factors should be adequately considered for making and/or adjusting the targeted prevention and control strategies on this disease in Weihe Basin.
    MeSH term(s) Animals ; Hemorrhagic Fever with Renal Syndrome/epidemiology ; Incidence ; Epidemics ; China/epidemiology ; Rivers
    Language English
    Publishing date 2023-04-24
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2429704-5
    ISSN 1935-2735 ; 1935-2735
    ISSN (online) 1935-2735
    ISSN 1935-2735
    DOI 10.1371/journal.pntd.0011245
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  7. Article ; Online: Hemangioblastoma arising from the retroperitoneum: A case report.

    Lu, Liang-Jie / Xu, Chuan-Qi / Wang, Wen-Jun

    Asian journal of surgery

    2023  Volume 46, Issue 10, Page(s) 4683–4684

    MeSH term(s) Humans ; Hemangioblastoma/diagnostic imaging ; Hemangioblastoma/surgery ; Tomography, X-Ray Computed ; Abdomen
    Language English
    Publishing date 2023-06-01
    Publishing country Netherlands
    Document type Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.05.079
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    Zs.B 2831: Show issues Location:
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  8. Article ; Online: Education and its impact on renewable energy demand, carbon intensity, and green growth: do digital financial inclusion and environmental policy stringency matter in China [Correction: Jan. 2023, 30(5), p. 12029]

    Lü, Liang / Chen, Qi / Huang, Rong / Usman, Ahmed

    Environ Sci Pollut Res. 2023 Jan., v. 30, no. 5, p. 12020-12028

    2023  , Page(s) 12020–12028

    Abstract: Various targets need to be accomplished before the dream of sustainable development comes true. Among these targets, increasing renewable energy demand, reducing carbon intensity, and achieving green growth are the most noticeable. Therefore, the present ...

    Abstract Various targets need to be accomplished before the dream of sustainable development comes true. Among these targets, increasing renewable energy demand, reducing carbon intensity, and achieving green growth are the most noticeable. Therefore, the present study focuses on capturing digital financial inclusion’s impact on renewable energy demand, carbon intensity, and green growth in the presence of ICT trade and environmental policy stringency in China. To empirically estimate the model, we have applied ARDL covering the time span from 1995 to 2020. The results state that the estimated coefficients attached to education, ATMS, and environmental policy stringency are positively significant in the renewable energy and green growth model and negatively significant in the carbon intensity model. From these results, we confer that education, digital financial inclusion, and environmental policy stringency are good for increasing renewable energy demand, reducing carbon intensity, and achieving green growth in China. In the short run, some of the estimates are negative; hence, we conclude that the results are inconclusive. The results recommend some imperative policy suggestions.
    Keywords carbon ; education ; environmental policy ; growth models ; renewable energy sources ; sustainable development ; trade ; China
    Language English
    Dates of publication 2023-01
    Size p. 12020-12028
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-22759-6
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    In stock of ZB MED Bonn / Germany

    Z 5915: Show issues

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  9. Article ; Online: Urban and air pollution

    Lu Liang / Peng Gong

    Scientific Reports, Vol 10, Iss 1, Pp 1-

    a multi-city study of long-term effects of urban landscape patterns on air quality trends

    2020  Volume 13

    Abstract: Abstract Most air pollution research has focused on assessing the urban landscape effects of pollutants in megacities, little is known about their associations in small- to mid-sized cities. Considering that the biggest urban growth is projected to occur ...

    Abstract Abstract Most air pollution research has focused on assessing the urban landscape effects of pollutants in megacities, little is known about their associations in small- to mid-sized cities. Considering that the biggest urban growth is projected to occur in these smaller-scale cities, this empirical study identifies the key urban form determinants of decadal-long fine particulate matter (PM2.5) trends in all 626 Chinese cities at the county level and above. As the first study of its kind, this study comprehensively examines the urban form effects on air quality in cities of different population sizes, at different development levels, and in different spatial-autocorrelation positions. Results demonstrate that the urban form evolution has long-term effects on PM2.5 level, but the dominant factors shift over the urbanization stages: area metrics play a role in PM2.5 trends of small-sized cities at the early urban development stage, whereas aggregation metrics determine such trends mostly in mid-sized cities. For large cities exhibiting a higher degree of urbanization, the spatial connectedness of urban patches is positively associated with long-term PM2.5 level increases. We suggest that, depending on the city’s developmental stage, different aspects of the urban form should be emphasized to achieve long-term clean air goals.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: High-resolution mapping of ash (Fraxinus spp.) in bottomland hardwoods to slow Emerald Ash Borer infestation

    Bishwa B. Sapkota / Lu Liang

    Science of Remote Sensing, Vol 1, Iss , Pp 100004- (2020)

    2020  

    Abstract: Ash (Fraxinus spp.) species are under serious threat by an invasive insect named the Emerald Ash Borer (EAB), already spreading across 35 states in the USA. To track the dramatic progression for effective implementation of ash conservation plans, ... ...

    Abstract Ash (Fraxinus spp.) species are under serious threat by an invasive insect named the Emerald Ash Borer (EAB), already spreading across 35 states in the USA. To track the dramatic progression for effective implementation of ash conservation plans, information on the spatial distribution of host resources is essential. This study aimed at delineating ash trees at the crown level in a mature bottomland hardwood forest under a remote sensing mapping framework. We employed five-band Worldview-3 imagery at 31 cm spatial resolution acquired in the spring and conducted the mapping activity using geographic object-based image analysis (GEOBIA). Because the training samples and features play important roles in classification, we tested the effects of training sample size and the textural features on the mapping performance. A set of segments that were optimized through a series of test-and-trials in the multiresolution segmentation were used as the basic mapping unit. By testing against field samples, the largest average overall accuracy 82%, was achieved through the random forest classifier. Our findings suggest that the classification accuracy is improved with increased training sample size. The combination of spectral and textural features improved the classification accuracy significantly (p-value <0.05) for two large sample sizes (i.e. n = 200 and n = 230). The GEOBIA framework we demonstrated may guide the future ash tree mapping endeavors regarding the selection of segmentation parameters, sample sizes, and classification features.
    Keywords Satellite imagery ; Random forest ; Textural features ; Multi-resolution segmentation ; Remote sensing ; Physical geography ; GB3-5030 ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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