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  1. AU="Ye Liu"
  2. AU="Bezerra, Antônio Diego M"
  3. AU="HE Xiufeng"
  4. AU=Freeman Hugh J AU=Freeman Hugh J
  5. AU="Choi, John Kim"
  6. AU="Streng, Bianca M M"
  7. AU="Franklin, Renty B"
  8. AU="Tetri, Laura H"
  9. AU="Badve, Sunil V"
  10. AU=Zhang Yinan
  11. AU="Piquero, Nicole Leeper"
  12. AU="Russo, Giorgio Ivan" AU="Russo, Giorgio Ivan"
  13. AU=Pourdowlat Guitti
  14. AU="Frisenda, Riccardo"
  15. AU=Palmucci Stefano

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  1. Buch ; Online: Quantification and Modelling of Fugitive Greenhouse Gas Emissions from Urban Water Systems

    Ye, Liu / Porro, Jose / Nopens, Ingmar

    2022  

    Schlagwörter Environmental science, engineering & technology ; Technology & Engineering ; Environmental
    Sprache 0|e
    Umfang 1 Online-Ressource
    Verlag IWA Publishing
    Dokumenttyp Buch ; Online
    Anmerkung English ; Open Access
    HBZ-ID HT021613328
    ISBN 9781789060461 ; 178906046X
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Artikel ; Online: Dynamic assessment of the COVID-19 lockdown in the Xinjiang region using night-time light remote sensing

    Luguang Jiang / Ye Liu

    International Journal of Digital Earth, Vol 17, Iss

    2024  Band 1

    Abstract: ABSTRACTChina used to have the world’s most stringent prevention policies during the COVID-19 pandemic. The strict lockdown in Xinjiang region in 2022 was considered to be the longest in the process of COVID-19 pandemic prevention. Therefore, we examined ...

    Abstract ABSTRACTChina used to have the world’s most stringent prevention policies during the COVID-19 pandemic. The strict lockdown in Xinjiang region in 2022 was considered to be the longest in the process of COVID-19 pandemic prevention. Therefore, we examined the dynamic effects of the COVID-19 lockdown in Xinjiang region using night-time light data. The findings showed that before the outbreak of COVID-19, the night-time light in Xinjiang region still maintained a significant growth. However, after the lockdown of COVID-19 in August 2022, the night-time light showed a significant decrease, especially in August. Urumqi's night-time light decreased by at least 25% compared to the non-lockdown, while that in other major cities was between 5% and 15%. After the lockdown was lifted in November 2022, the night-time light in Urumqi increased by at least 50% compared to the lockdown, while that in other major cities was generally less than 30%. The regions where night-time light decreased in Urumqi were mainly within a radius of 40 km, whereas that in other cities were mainly concentrated within a radius of 6 km. The changes in statistical data and night-time light indicated that the economic activities in Xinjiang region were significantly affected by the COVID-19 lockdown.
    Schlagwörter Xinjiang region ; COVID-19 lockdown ; night-time light remote sensing ; spatiotemporal changes ; comparative analysis ; human activity intensity ; Mathematical geography. Cartography ; GA1-1776
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Erscheinungsdatum 2024-12-01T00:00:00Z
    Verlag Taylor & Francis Group
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Grain Security in Light of the Current Geopolitical Background and Agricultural Policy in the Democratic People’s Republic of Korea

    Luguang Jiang / Ye Liu

    Sustainability, Vol 14, Iss 9276, p

    2022  Band 9276

    Abstract: Grain problems in the Democratic People’s Republic of Korea (DPRK) have been the focus of global attention for many years. In this context, scientific evaluations of grain supply and consumption are very important as a component of agricultural ... ...

    Abstract Grain problems in the Democratic People’s Republic of Korea (DPRK) have been the focus of global attention for many years. In this context, scientific evaluations of grain supply and consumption are very important as a component of agricultural cooperation between China and the DPRK and will also promote a stable development of the society across Northeast Asia. The results of this analysis showed that DPRK grain production in 2019 was equivalent to that seen in 1975. Dominant grain-producing areas within the DPRK include the plains in the west and southwest encompassing North Phyongan, South Phyongan, Pyongyang, North Hwanghae, and South Hwanghae. The data showed that the DPRK was basically grain self-sufficient prior to 1995 but subsequently has been unable to meet the demand, even given reliance on imports and international assistance. The cultivated land area within the DPRK includes large proportions of slope farmland, an important factor that influences the grain production. The DPRK also boasts good irrigation infrastructure that provides a good basis for grain production. This means that, under normal circumstances, 56.59% of cultivated land can be effectively irrigated. Chemical fertilizer supplies have, however, been unable to meet the agricultural production demands, currently remaining at the 1970s levels. It is clear that the DPRK needs to increase chemical and organic fertilizer inputs in order to ensure soil fertility. As the southern region of the DPRK has sufficient water and is hot enough, the implementation of multi-cropping farming systems will ensure an increase of at least 4.9 million tons in grain production and will guarantee supply for at least 1.88 million people.
    Schlagwörter grain supply ; grain consumption ; cultivated land quality ; irrigation conditions ; farming systems ; Democratic People’s Republic of Korea (DPRK) ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 669
    Sprache Englisch
    Erscheinungsdatum 2022-07-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm

    Yibo Li / Ye Liu / Xiaoyi Ma

    Agronomy, Vol 13, Iss 726, p

    2023  Band 726

    Abstract: Accurate inversion of soil hydraulic parameters based on the van Genuchten–Mualem model has received much attention in soil science research. Herein, a hybrid algorithm method using particle swarm optimization and vector-evaluated genetic algorithm was ... ...

    Abstract Accurate inversion of soil hydraulic parameters based on the van Genuchten–Mualem model has received much attention in soil science research. Herein, a hybrid algorithm method using particle swarm optimization and vector-evaluated genetic algorithm was used to invert the parameters θ s , α , n , and K s , with the objective functions of infiltration rate, cumulative infiltration, and soil water content. Then, numerical experiments were conducted on four typical soils at three initial water content levels (20, 40, and 60% effective saturation) to verify the accuracy of the inverse method. The results showed that the inversed soil water retention and conductivity curves were approximately the same as the real curves, with the root mean square errors of 0.00101–0.00192 cm 3 ·cm −3 , 0.00800–0.02519 cm 3 ·cm −3 , respectively, and both the Nash-Sutcliffe coefficients were approximately 1.0. Additionally, laboratory experiments were also performed to compare with the inversed parameters for verification, within small root mean squared errors and approximately 1.0 Nash–Sutcliffe coefficients. Furthermore, the method can also achieve acceptably accurate parameter inversion even with substantial measurement errors included in the cumulative infiltration, initial water content, and final water content. Thus, the method is effective and robust and found to be practical in field experiments.
    Schlagwörter parameter estimation ; soil hydraulic properties ; inverse modeling ; vector-evaluated genetic algorithm ; SWMS-2D ; Agriculture ; S
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: 3D Carbonate Digital Rock Reconstruction by Self-Attention Network and GAN Structure

    Bin Wang / Jiahao Wang / Ye Liu

    Applied Sciences, Vol 13, Iss 24, p

    2023  Band 13006

    Abstract: Amidst the rapid advancements in digital technology, the pursuit of simulating geologic and mineralogic samples in a digital domain has garnered considerable attention, becoming a linchpin in modern earth science and petrological research. This ... ...

    Abstract Amidst the rapid advancements in digital technology, the pursuit of simulating geologic and mineralogic samples in a digital domain has garnered considerable attention, becoming a linchpin in modern earth science and petrological research. This manuscript intricately explores the deployment of state-of-the-art generative models for the meticulous reconstruction of digital rock core samples. Central to this investigation was the innovative incorporation of the self-attention mechanism—a pioneering endeavor in the domain of digital rock core studies. By harnessing the prowess of this sophisticated model, we endeavored to produce samples that echo the nuanced geological and mineralogical attributes emblematic of authentic rock specimens. Distinguishing our approach, the generative architecture, bolstered by the self-attention mechanism, demonstrated unparalleled proficiency in replicating quintessential rock features, ranging from porosity and granular texture to contiguous core sequences. Additionally, the idiosyncrasies of carbonate rocks were meticulously captured, highlighting phenomena like dissolution. Empirical evaluations, rooted in stringent statistical analyses, attested to the model’s capability to generate outputs that resonate closely with genuine samples. This exploration not only amplifies the potential applications of our proposed model in geoscientific endeavors but also signals a transformative stride in digital rock physics, emphasizing the harmonious amalgamation of innovative computational models with profound geological insights.
    Schlagwörter 3D reconstruction ; carbonate digital rock ; self-attention network ; generative adversarial network ; digital core ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 550
    Sprache Englisch
    Erscheinungsdatum 2023-12-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Spatiotemporal Variation and Stability of Rice Planting Using Landsat–MODIS Fusion Images from 1990 to 2020

    Luguang Jiang / Ye Liu / Si Wu

    Remote Sensing, Vol 15, Iss 4814, p

    2023  Band 4814

    Abstract: Dongting Lake Plain is a historic foundation for China’s commodity grain production. We used Landsat images to interpret the rice planting pattern from 1990 to 2020 based on the vegetation index curve and crop time window differences. The research aims ... ...

    Abstract Dongting Lake Plain is a historic foundation for China’s commodity grain production. We used Landsat images to interpret the rice planting pattern from 1990 to 2020 based on the vegetation index curve and crop time window differences. The research aims included the spatiotemporal change in the rice planting area and the multiple cropping index, the transformation properties between single-crop and double-crop, and influence factors of rice cultivation. The findings indicated that the rice planting area has increased by 23.64% over the past 30 years. However, the multiple cropping index decreased by 17.39%. The area of single-crop rice increased by 2.6 times, while the area of double-crop rice decreased by 23.19%, which indicated that the planting intensity of rice has decreased. The area where rice has been steadily planted for 30 years is approximately 5600 km 2 , accounting for 87% of all rice planting land in this study area. The transformation from double-crop rice to single-crop rice was the most obvious characteristic of internal changes. The marginal benefits of current agricultural policies have decreased. This research may provide a theoretical basis for the refined management of rice and improve agricultural policies. More clouds in the remote sensing image limited the time resolution. Future research may further explore the comprehensive influencing factors.
    Schlagwörter variability and stability ; rice planting ; spatiotemporal changes ; conversion characteristics ; remote sensing ; Dongting Lake Plain ; Science ; Q
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2023-10-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees

    Yiyi Chen / Ye Liu

    International Journal of Environmental Research and Public Health, Vol 18, Iss 5879, p

    2021  Band 5879

    Abstract: Background: A growing body of scientific literature indicates that risk factors for COVID-19 contribute to a high level of psychological distress. However, there is no consensus on which factors contribute more to predicting psychological health. ... ...

    Abstract Background: A growing body of scientific literature indicates that risk factors for COVID-19 contribute to a high level of psychological distress. However, there is no consensus on which factors contribute more to predicting psychological health. Objectives: The present study quantifies the importance of related risk factors on the level of psychological distress and further explores the threshold effect of each rick factor on the level of psychological distress. Both subjective and objective measures of risk factors are considered in the model. Methods: We sampled 937 individual items of data obtained from an online questionnaire between 20 January and 13 February 2020 in China. Objective risk factors were measured in terms of direct distance from respondents’ housing to the nearest COVID-19 hospital, direct distance from respondents’ housing to the nearest park, and the air quality index (AQI). Perceived risk factors were measured in regard to perceived distance to the nearest COVID-19 hospital, perceived air quality, and perceived environmental quality. Psychological distress was measured with the Kessler psychological distress scale K6 score. The following health risk factors and sociodemographic factors were considered: self-rated health level, physical health status, physical activity, current smoker or drinker, age, gender, marital status, educational attainment level, residence location, and household income level. A gradient boosting decision tree (GBDT) was used to analyse the data. Results: Health risk factors were the greatest contributors to predicting the level of psychological distress, with a relative importance of 42.32% among all influential factors. Objective risk factors had a stronger predictive power than perceived risk factors (23.49% vs. 16.26%). Furthermore, it was found that there was a dramatic rise in the moderate level of psychological distress regarding the threshold of AQI between 40 and 50, and 110 and 130, respectively. Gender-sensitive analysis revealed that women and men responded differently to psychological distress based on different risk factors. Conclusion: We found evidence that perceived indoor air quality played a more important role in predicting psychological distress compared to ambient air pollution during the COVID-19 pandemic.
    Schlagwörter coronavirus disease 2019 (COVID-19) ; psychological distress ; Kessler psychological distress scale ; relative importance ; machine learning approach ; Medicine ; R
    Thema/Rubrik (Code) 150
    Sprache Englisch
    Erscheinungsdatum 2021-05-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: Reliability and Validity of Scoliosis Measurements Obtained with Surface Topography Techniques

    Xinyu Su / Rui Dong / Zhaoyong Wen / Ye Liu

    Journal of Clinical Medicine, Vol 11, Iss 6998, p

    A Systematic Review

    2022  Band 6998

    Abstract: Background. Surface topography (ST) is one of the methods in scoliosis assessment. This study aimed to systematically review the reliability and validity of the ST measurements for assessing scoliosis. Methods. A literature search of four databases was ... ...

    Abstract Background. Surface topography (ST) is one of the methods in scoliosis assessment. This study aimed to systematically review the reliability and validity of the ST measurements for assessing scoliosis. Methods. A literature search of four databases was performed and is reported following PRISMA guidelines. The methodological quality was evaluated using Brink and Louw appraisal tool and data extraction was performed. The results were analyzed and synthesized qualitatively using the level of evidence method. Results. Eighteen studies were included and analyzed. Four were evaluated for reliability, six for validity, and eight for reliability and validity. The methodological quality of fourteen studies was high. Good to excellent intra-investigator reliability was shown on asymmetry, sagittal, horizontal, and most frontal ST measurements (evidence level: strong). Asymmetry and most frontal, sagittal, horizontal ST measurements showed good to excellent inter-investigator reliability (evidence level: moderate). When comparing corresponding ST and radiological measurements, good to strong validity was shown on most frontal, sagittal, and asymmetry measurements (evidence level: strong). Formetric measurements had good intra-investigator reliability and validity (evidence level: strong). Conclusions. Most asymmetry, sagittal, and frontal ST measurements showed satisfactory reliability and validity. Horizontal ST measurements showed good reliability and poor validity. The ST technique may have great potential in assessing scoliosis, especially in reducing radiation exposure and performing cosmetic assessments.
    Schlagwörter scoliosis ; assessment ; surface topography ; reliability ; validity ; reproducibility ; Medicine ; R
    Thema/Rubrik (Code) 600
    Sprache Englisch
    Erscheinungsdatum 2022-11-01T00:00:00Z
    Verlag MDPI AG
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    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Change Analysis on the Spatio-Temporal Patterns of Main Crop Planting in the Middle Yangtze Plain

    Luguang Jiang / Si Wu / Ye Liu

    Remote Sensing, Vol 14, Iss 1141, p

    2022  Band 1141

    Abstract: As a traditional agricultural production base in China, the Middle Yangtze Plain (MYP) is a typical region to explore the intensification, large-scale, and agglomeration of agricultural land, and its crop planting situation is sensitive to changes in ... ...

    Abstract As a traditional agricultural production base in China, the Middle Yangtze Plain (MYP) is a typical region to explore the intensification, large-scale, and agglomeration of agricultural land, and its crop planting situation is sensitive to changes in national agricultural policy and economic development. So far, the research of crop remote sensing extraction mainly has focused on the areas with simple crops rotation patterns, by using short-time sequence remote sensing data with low spatial resolution. The objective of this study was to address how to accurately map the spatial distribution of main crops considering their spectral and phenological features, and what characteristics of spatio-temporal patterns dynamics of crops occurred in the MYP in 1990–2020. Based on Landsat and MODIS data, using the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) as well as the raster-based spectral and phenological differential change method (RSPDCM), this study mapped the spatial distribution of main crops (rice, cotton, maize, soybean, rapeseed and winter wheat) in the MYP during 1990–2020 and analyzed their planting characteristics. The RSPDCM has a good overall accuracy of more than 89%. The planting characteristics of the main crops were highly intensive and agglomerate double-cropping rotation in the MYP’s paddy field. Rice and rapeseed were the two most important crops, accounting for 74.75% of the annual planting area. The highly intensive and large-scale areas were mainly distributed in the Dongting Lake Plain (DTLP) and Poyang Lake Plain (PYLP), while the highly agglomerate areas of main crops were mainly distributed in the Jianghan Plain (JHP). This study innovatively provides a high-precision multi-cropping spatial dynamic mapping method and basic information, which is helpful to realize high-precision remote sensing extraction of crops in different regions of the world and provide basic data for optimizing the allocation of agricultural production resources in top grain-producing areas.
    Schlagwörter land resource evaluation ; remote sensing extraction ; Landsat-MODIS fusion data ; driving mechanism ; Science ; Q
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel ; Online: Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation

    Ye Liu / Sophia J. Wagner / Tingying Peng

    Journal of Imaging, Vol 8, Iss 71, p

    2022  Band 71

    Abstract: Annotating microscopy images for nuclei segmentation by medical experts is laborious and time-consuming. To leverage the few existing annotations, also across multiple modalities, we propose a novel microscopy-style augmentation technique based on a ... ...

    Abstract Annotating microscopy images for nuclei segmentation by medical experts is laborious and time-consuming. To leverage the few existing annotations, also across multiple modalities, we propose a novel microscopy-style augmentation technique based on a generative adversarial network (GAN). Unlike other style transfer methods, it can not only deal with different cell assay types and lighting conditions, but also with different imaging modalities, such as bright-field and fluorescence microscopy. Using disentangled representations for content and style, we can preserve the structure of the original image while altering its style during augmentation. We evaluate our data augmentation on the 2018 Data Science Bowl dataset consisting of various cell assays, lighting conditions, and imaging modalities. With our style augmentation, the segmentation accuracy of the two top-ranked Mask R-CNN-based nuclei segmentation algorithms in the competition increases significantly. Thus, our augmentation technique renders the downstream task more robust to the test data heterogeneity and helps counteract class imbalance without resampling of minority classes.
    Schlagwörter style transfer ; data augmentation ; nuclei segmentation ; Photography ; TR1-1050 ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 004
    Sprache Englisch
    Erscheinungsdatum 2022-03-01T00:00:00Z
    Verlag MDPI AG
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    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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