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Article ; Online: Biases and Abrupt Shifts of Monthly Precipitable Water from Terra MODIS

Ning Lu

Remote Sensing, Vol 11, Iss 11, p

2019 Volume 1315

Abstract: Monthly atmospheric precipitable water (PW) from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra satellite was assessed over land at 60°S−60°N. MODIS provides two PW products by using infrared (IR) and near-IR (NIR) algorithms, ...

Abstract	Monthly atmospheric precipitable water (PW) from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra satellite was assessed over land at 60°S−60°N. MODIS provides two PW products by using infrared (IR) and near-IR (NIR) algorithms, respectively. An assessment was performed for both MODIS PW data from 2000 to 2014, comparing them with the measurements at international stations of the global positioning systems and with a reanalysis to detect abrupt changes through monthly variations. It is noted that MODIS IR systematically underestimated PW in over 75% of stations, and that PW estimation declines with time. MODIS NIR significantly overestimated PW for tropical land and experienced two abrupt shifts. These data defects result in large spurious decreasing trends in MODIS IR and increasing trends in MODIS NIR. The two MODIS PW products are currently not suitable for a climatic-trend analysis, highlighting the need for data reprocessing and calibration.
Keywords	precipitable water ; MODIS ; assessment ; abrupt shifts ; Science ; Q
Language	English
Publishing date	2019-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Impact of Deep Convolutional Neural Network Structure on Photovoltaic Array Extraction from High Spatial Resolution Remote Sensing Images

Liang Li / Ning Lu / Hou Jiang / Jun Qin

Remote Sensing, Vol 15, Iss 4554, p

2023 Volume 4554

Abstract: Accurate information on the location, shape, and size of photovoltaic (PV) arrays is essential for optimal power system planning and energy system development. In this study, we explore the potential of deep convolutional neural networks (DCNNs) for ... ...

Abstract	Accurate information on the location, shape, and size of photovoltaic (PV) arrays is essential for optimal power system planning and energy system development. In this study, we explore the potential of deep convolutional neural networks (DCNNs) for extracting PV arrays from high spatial resolution remote sensing (HSRRS) images. While previous research has mainly focused on the application of DCNNs, little attention has been paid to investigating the influence of different DCNN structures on the accuracy of PV array extraction. To address this gap, we compare the performance of seven popular DCNNs—AlexNet, VGG16, ResNet50, ResNeXt50, Xception, DenseNet121, and EfficientNetB6—based on a PV array dataset containing 2072 images of 1024 × 1024 size. We evaluate their intersection over union (IoU) values and highlight four DCNNs (EfficientNetB6, Xception, ResNeXt50, and VGG16) that consistently achieve IoU values above 94%. Furthermore, through analyzing the difference in the structure and features of these four DCNNs, we identify structural factors that contribute to the extraction of low-level spatial features (LFs) and high-level semantic features (HFs) of PV arrays. We find that the first feature extraction block without downsampling enhances the LFs’ extraction capability of the DCNNs, resulting in an increase in IoU values of approximately 0.25%. In addition, the use of separable convolution and attention mechanisms plays a crucial role in improving the HFs’ extraction, resulting in a 0.7% and 0.4% increase in IoU values, respectively. Overall, our study provides valuable insights into the impact of DCNN structures on the extraction of PV arrays from HSRRS images. These findings have significant implications for the selection of appropriate DCNNs and the design of robust DCNNs tailored for the accurate and efficient extraction of PV arrays.
Keywords	high spatial resolution remote sensing images ; photovoltaic array extraction ; deep convolutional neural networks ; low- and high-level features ; Science ; Q
Subject code	006
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluation of the Suitability of Smart Health Products for Aging Based on the IIVAHP-CRITIC Model

Ning Lu / Yefei Li / Bochu Xu

Sustainability, Vol 14, Iss 9212, p

A Case Study of Smart Health Kiosk

2022 Volume 9212

Abstract: In the global situation of an aging population, the evaluation of the suitability of smart health products for aging is very important in order to achieve sustainable development goals. However, few evaluation methods have been adopted for smart health ... ...

Abstract	In the global situation of an aging population, the evaluation of the suitability of smart health products for aging is very important in order to achieve sustainable development goals. However, few evaluation methods have been adopted for smart health products for older individuals. An objective and comprehensive evaluation system and evaluation methods need to be established to guide the design of smart health products. In this study, a Smart Health Kiosk (SHK) was used as an example, and an index system was established for the evaluation of the suitability for aging based on the influencing factors from four dimensions. To address the problem that it is difficult to quantify the subjective and objective weights in the evaluation, this study proposes a method of evaluating suitability for aging based on the combination of the Improved Interval-Valued Analytic Hierarchy Process and the Criteria Importance Though Intercrieria Correlation (IIVAHP-CRITIC) method. The results show that the method integrates the influence of subjective and objective weights on the evaluation and avoids the limitations of a single evaluation. It takes into account the relationship between the various levels of indicators and the subjective and objective indicators. Weights calculated by the IIVAHP-CRITIC method help to better assess the objectivity and validity of the design solutions. This evaluation method can effectively reflect the related attributes of each element in the aging-suitability design stage of smart health products. The evaluation results help to improve the quality and ergonomic comfort of aging products, and can effectively reduce the occurrence of design problems.
Keywords	smart health products ; aging-suitability evaluation ; IIVAHP-CRITIC method ; smart health kiosk ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	380
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Editorial

Mingxin Zhang / Ning Lu / Qian Li / Manli Cui / Mingzhen Zhang

Frontiers in Molecular Biosciences, Vol

Drug Delivery System Based on Nanoparticles for Inflammation and Cancer Therapy

2022 Volume 9

Keywords	drug delivery system ; nanoparticles ; vaccine ; inflammation ; cancer ; therapy ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Augmented Brunauer–Emmett–Teller Equation for Water Adsorption on Soils

Chao Zhang / Ning Lu

Vadose Zone Journal, Vol 18, Iss

2019 Volume 1

Abstract: An augmented Brunauer–Emmett–Teller (BET) equation was developed for describing water adsorption on soils, overcoming the limitation of the original BET equation for describing only isotherms of materials with a homogeneous adsorption surface. The ... ...

Abstract	An augmented Brunauer–Emmett–Teller (BET) equation was developed for describing water adsorption on soils, overcoming the limitation of the original BET equation for describing only isotherms of materials with a homogeneous adsorption surface. The different physicochemical mechanisms underlying water adsorption in soils are synthesized, leading to a unique adsorption sequence dictated by two distinguishable free energy levels. The higher adsorption free energy level reflects the internal (intra-crystalline) surface adsorption, whereas the lower adsorption free energy level reflects the external (particle) surface adsorption. This adsorption energy disparity is provided by the interlamellar energy barrier of van der Waals and electrostatic attractive forces. Consequently, an augmented BET equation was formulated as a combination of the individual BET equations for the internal (intra-crystalline) surface adsorption and external (particle) surface adsorption. The augmented BET equation demonstrates excellent performance in representing measured water adsorption isotherms of a wide suite of silty and clayey soils, validating its applicability. The augmented BET equation excellently predicts the expected dominance of the external particle surface adsorption of the non-polar N adsorption on clay soils, illustrating its ability in separating external and internal surface adsorption. Additionally, the specific surface area estimated by the augmented BET equation matches well the estimation by two independent methods, further confirming the validity of the augmented BET equation.
Keywords	Environmental sciences ; GE1-350 ; Geology ; QE1-996.5
Subject code	541
Language	English
Publishing date	2019-08-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Chest Computed Tomography Imaging Features of Novel Coronavirus Omicron Strain Infection in Children

Qianyi LIAO / Feifei LIN / Yijiang ZHUANG / Longwei SUN / Ning LU / Peng LI

CT Lilun yu yingyong yanjiu, Vol 32, Iss 3, Pp 347-

2023 Volume 355

Abstract: Objective: To investigate the chest computed tomography (CT) imaging features of novel coronavirus omicron strain infection in children. Methods: The chest CT imaging of 77 children diagnosed with coronavirus disease (COVID-19) using nucleic acid testing ...

Abstract	Objective: To investigate the chest computed tomography (CT) imaging features of novel coronavirus omicron strain infection in children. Methods: The chest CT imaging of 77 children diagnosed with coronavirus disease (COVID-19) using nucleic acid testing or antigen testing from December 10 to 31, 2022 at Shenzhen Children's Hospital were retrospectively analyzed, including 51 males and 26 females. Among them, 50 cases were positive for CT presentation, and their ages ranged from 1 month to 14 years, with a mean age of 5.5 years and a median age of 3.9 years, including 21 cases in the infant and toddler group (≤3 years), 14 in the preschool group (3~7 years), and 15 cases in the school-age group (≥7 years). Two radiologists independently identified the location of intrapulmonary lesions, CT manifestations of intrapulmonary lesions, concomitant CT manifestations of the lungs, extent of lesion involvement, and imaging staging. Results: 50 patients (64.9%) had positive lung CT presentation, with the most lesions in the lower lobes and subpleural areas of both lungs and the least lesions in the hilus of lung, and the number of lesions were single, multiple, and diffusely distributed, with diffuse distribution being the most common. Ground-glass opacity were seen in 16 cases (32%), solid nodules in 20 (40%), lamellar consolidation in 24 (48%), lamellar ground glass in 30 (60%), and solid and ground glass in 20 (40%), with lamellar ground glass being the most common; crazy-paving pattern in 4 cases (8%), thickening of lobular septa in 12 (24%), tree fog sign in 12 (24%), and vascular enlargement in 13 (26%). 7 cases (14%) were of subpleural curvilinear line, 6 (12%) of reversed halo sign, and 17 (34%) of air bronchogram, all without cavitation; 5 (10%) were of pleural effusion, 7 (14%) of pleural thickening, 1 (2%) of pericardial effusion, and 7 (14%) of lymphadenopathy. 29 patients (37.7%) were in the early stage of imaging, 15 (19.5%) were in the progressive stage, and 6 (7.8%) were in the severe stage. Conclusion: ...
Keywords	novel coronavirus ; omicron strain ; children ; chest computed tomography ; Geophysics. Cosmic physics ; QC801-809 ; Medicine (General) ; R5-920
Subject code	610
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	Editorial Office of Computerized Tomography Theory and Application
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Plant-insect interactions across the Triassic–Jurassic boundary in the Sichuan Basin, South China

Yuanyuan Xu / Yongdong Wang / Liqin Li / Ning Lu / Yanbin Zhu / Zhuanli Huang / Stephen McLoughlin

Frontiers in Ecology and Evolution, Vol

2024 Volume 11

Abstract: Plants and insects are the most diverse and ecologically important organisms in the terrestrial biosphere. Their interactions are also among the richest biotic relationships, and offer significant insights into the evolution of terrestrial ecosystem ... ...

Abstract	Plants and insects are the most diverse and ecologically important organisms in the terrestrial biosphere. Their interactions are also among the richest biotic relationships, and offer significant insights into the evolution of terrestrial ecosystem complexity through the geological record. This investigation of the late Rhaetian Xujiahe and the earliest Jurassic Zhenzhuchong floral assemblages provides the first data on foliar herbivory generated by terrestrial arthropods across the Triassic–Jurassic transition in the eastern Tethys (East Asia) region. The damage types from two fossil assemblages are collectively attributed to seven functional feeding and egg-laying categories (i.e., hole feeding, margin feeding, surface feeding, skeletonization, piercing and sucking, oviposition, and galling). Most feeding strategies are spread across the major plant groups and persist through the Triassic–Jurassic boundary, with the exception of skeletonization (a category of external foliage feeding), which was restricted to the latest Triassic within dipteridacean ferns. The survey reveals that the respective frequency and diversity of interactions between plants and insects prior to and following the end-Triassic mass extinction event are almost the same, despite a substantial turnover of floral components. This suggest that insect herbivores were largely able to transfer to alternative (but commonly related) plant groups during the dramatic floristic turnover and environmental changes at the end of the Triassic. Sporadic occurrences of foliar modifications, such as marginal cusps on pinnules of Pterophyllum and prominent ridges on the rachises of some ferns and bennettites are interpreted as adaptations for defense against insect herbivores. A few differences in taxonomic composition and herbivory representation between the latest Triassic Xujiahe flora and the earliest Jurassic Zhenzhuchong flora are more likely to be related to collection and preservational biases rather than reflecting palaeoecological changes. We ...
Keywords	herbivory ; insect damage types ; functional feeding groups ; end-Triassic mass extinction ; vegetation turnover ; Evolution ; QH359-425 ; Ecology ; QH540-549.5
Subject code	550
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online ; Thesis: Identifizierung und Charakterisierung antigenspezifischer T-Zell-Antworten gegen Glioblastome

Kevin Hai-Ning, Lu Verfasser] / [Platten, Michael [Akademischer Betreuer]

2023

Author's details	Lu Kevin Hai-Ning ; Betreuer: Michael Platten
Keywords	Medizin, Gesundheit ; Medicine, Health
Subject code	sg610
Language	German
Publisher	Universitätsbibliothek Heidelberg
Publishing place	Heidelberg
Document type	Book ; Online ; Thesis
Database	Digital theses on the web

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Article ; Online: Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images

Hou Jiang / Ning Lu

Remote Sensing, Vol 10, Iss 6, p

2018 Volume 945

Abstract: Haze removal is a pre-processing step that operates on at-sensor radiance data prior to the physically based image correction step to enhance hazy imagery visually. Most current haze removal methods focus on point-to-point operations and utilize ... ...

Abstract	Haze removal is a pre-processing step that operates on at-sensor radiance data prior to the physically based image correction step to enhance hazy imagery visually. Most current haze removal methods focus on point-to-point operations and utilize information in the spectral domain, without taking consideration of the multi-scale spatial information of haze. In this paper, we propose a multi-scale residual convolutional neural network (MRCNN) for haze removal of remote sensing images. MRCNN utilizes 3D convolutional kernels to extract spatial–spectral correlation information and abstract features from surrounding neighborhoods for haze transmission estimation. It takes advantage of dilated convolution to aggregate multi-scale contextual information for the purpose of improving its prediction accuracy. Meanwhile, residual learning is utilized to avoid the loss of weak information while deepening the network. Our experiments indicate that MRCNN performs accurately, achieving an extremely low validation error and testing error. The haze removal results of several scenes of Landsat 8 Operational Land Imager (OLI) data show that the visibility of the dehazed images is significantly improved, and the color of recovered surface is consistent with the actual scene. Quantitative analysis proves that the dehazed results of MRCNN are superior to the traditional methods and other networks. Additionally, a comparison to haze-free data illustrates the spectral consistency after haze removal and reveals the changes in the vegetation index.
Keywords	haze removal ; multi-scale context aggregation ; residual learning ; convolutional neural network ; Landsat 8 OLI ; Science ; Q
Subject code	006
Language	English
Publishing date	2018-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Hourly 5-km surface total and diffuse solar radiation in China, 2007–2018

Hou Jiang / Ning Lu / Jun Qin / Ling Yao

Scientific Data, Vol 7, Iss 1, Pp 1-

2020 Volume 12

Abstract: Measurement(s) stellar radiation • global solar radiation • diffuse solar radiation Technology Type(s) satellite imaging of a planet • neural network model Factor Type(s) year of data collection • hourly, daily and monthly radiation measurements Sample ... ...

Abstract	Measurement(s) stellar radiation • global solar radiation • diffuse solar radiation Technology Type(s) satellite imaging of a planet • neural network model Factor Type(s) year of data collection • hourly, daily and monthly radiation measurements Sample Characteristic - Environment climate system Sample Characteristic - Location China Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12864251
Keywords	Science ; Q
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	Nature Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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