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Article ; Online: Response to a Comment on “Scar‐Degrading Endothelial Cells as a Treatment for Advanced Liver Fibrosis”

Peng Zhao / Tian Sun / Cheng Lyu / Yanan Du

Advanced Science, Vol 10, Iss 17, Pp n/a-n/a (2023)

2023

Keywords	Science ; Q
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Mesenchymal Stem Cells (MSCs)

Shuang Gao / Yuanyuan Zhang / Kaini Liang / Ran Bi / Yanan Du

Stem Cells International, Vol

A Novel Therapy for Type 2 Diabetes

2022 Volume 2022

Abstract: Although plenty of drugs are currently available for type 2 diabetes mellitus (T2DM), a subset of patients still failed to restore normoglycemia. Recent studies proved that symptoms of T2DM patients who are unresponsive to conventional medications could ... ...

Abstract	Although plenty of drugs are currently available for type 2 diabetes mellitus (T2DM), a subset of patients still failed to restore normoglycemia. Recent studies proved that symptoms of T2DM patients who are unresponsive to conventional medications could be relieved with mesenchymal stem/stromal cell (MSC) therapy. However, the lack of systematic summary and analysis for animal and clinical studies of T2DM has limited the establishment of standard guidelines in anti-T2DM MSC therapy. Besides, the therapeutic mechanisms of MSCs to combat T2DM have not been thoroughly understood. In this review, we present an overview of the current status of MSC therapy in treating T2DM for both animal studies and clinical studies. Potential mechanisms of MSC-based intervention on multiple pathological processes of T2DM, such as β-cell exhaustion, hepatic dysfunction, insulin resistance, and systemic inflammation, are also delineated. Moreover, we highlight the importance of understanding the pharmacokinetics (PK) of transplanted cells and discuss the hurdles in MSC-based T2DM therapy toward future clinical applications.
Keywords	Internal medicine ; RC31-1245
Subject code	610
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Forest Height Estimation from a Robust TomoSAR Method in the Case of Small Tomographic Aperture with Airborne Dataset at L-band

Xing Peng / Xinwu Li / Yanan Du / Qinghua Xie

Remote Sensing, Vol 13, Iss 2147, p

2021 Volume 2147

Abstract: Forest height is an essential input parameter for forest biomass estimation, ecological modeling, and the carbon cycle. Tomographic synthetic aperture radar (TomoSAR), as a three-dimensional imaging technique, has already been successfully used in forest ...

Abstract	Forest height is an essential input parameter for forest biomass estimation, ecological modeling, and the carbon cycle. Tomographic synthetic aperture radar (TomoSAR), as a three-dimensional imaging technique, has already been successfully used in forest areas to retrieve the forest height. The nonparametric iterative adaptive approach (IAA) has been recently introduced in TomoSAR, achieving a good compromise between high resolution and computing efficiency. However, the performance of the IAA algorithm is significantly degraded in the case of a small tomographic aperture. To overcome this shortcoming, this paper proposes the robust IAA (RIAA) algorithm for SAR tomography. The proposed approach follows the framework of the IAA algorithm, but also considers the noise term in the covariance matrix estimation. By doing so, the condition number of the covariance matrix can be prevented from being too large, improving the robustness of the forest height estimation with the IAA algorithm. A set of simulated experiments was carried out, and the results validated the superiority of the RIAA estimator in the case of a small tomographic aperture. Moreover, a number of fully polarimetric L-band airborne tomographic SAR images acquired from the ESA BioSAR 2008 campaign over the Krycklan Catchment, Northern Sweden, were collected for test purposes. The results showed that the RIAA algorithm performed better in reconstructing the vertical structure of the forest than the IAA algorithm in areas with a small tomographic aperture. Finally, the forest height was estimated by both the RIAA and IAA TomoSAR methods, and the estimation accuracy of the RIAA algorithm was 2.01 m, which is more accurate than the IAA algorithm with 3.25 m.
Keywords	forest height ; tomographic synthetic aperture radar (TomoSAR) ; iterative adaptive approach (IAA) ; robust iterative adaptive approach (RIAA) ; L-band ; Science ; Q
Subject code	333
Language	English
Publishing date	2021-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A review of the tools and techniques used in the digital preservation of architectural heritage within disaster cycles

Yuan Li / Yanan Du / Mengsheng Yang / Jiaqi Liang / Huanxia Bai / Rui Li / Andrew Law

Heritage Science, Vol 11, Iss 1, Pp 1-

2023 Volume 20

Abstract: Abstract Architectural heritage is vulnerable to disasters. Digital technologies can fight destruction and can ensure integrity by monitoring, managing and protecting architectural heritage from disasters. In this paper, we clarify the relationship ... ...

Abstract	Abstract Architectural heritage is vulnerable to disasters. Digital technologies can fight destruction and can ensure integrity by monitoring, managing and protecting architectural heritage from disasters. In this paper, we clarify the relationship between disasters, digitalization and architectural heritage conservation for the sustainability of cultural heritage. This study used the PRISMA process, and bibliometric tools VOSviewer and Citespace to explore the potential of digital technologies in the protection of architectural heritage—especially during disaster cycles, from the perspectives of both universal and typicality; the results revealed that digital twins, deep learning, and preventive conservation are currently hot topics in digital preservation research (especially that research which relates to disaster cycles). On this basis, this paper summarizes the relevant technologies involved in architectural heritage preservation from the perspective of the disaster cycle and the digital phase, and proposes three future research directions: accurate prediction of multi-disasters, automatic early warning of structural damages, and intelligent monitoring of human–computer interaction. This paper constructs a new research frame for digital preservation of architectural heritage during disasters, providing theoretical reference and practical guidance for architectural heritage conversation.
Keywords	Disaster cycles ; Digital technology ; Architectural heritage ; Bibliometric analysis ; PRISMA ; Fine Arts ; N ; Analytical chemistry ; QD71-142
Subject code	720
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multivariable Adaptive Super-Twisting Guidance Law Based on Barrier Function

Yukuan Liu / Guanglin He / Yanan Du / Yulong Zhang / Zenghui Qiao

Applied Sciences, Vol 11, Iss 11178, p

2021 Volume 11178

Abstract: For tactical missiles, sliding mode control and super-twisting algorithms have been widely studied in the area of guidance law design. However, these methods require the information of the target accelerations and the target acceleration derivatives, ... ...

Abstract	For tactical missiles, sliding mode control and super-twisting algorithms have been widely studied in the area of guidance law design. However, these methods require the information of the target accelerations and the target acceleration derivatives, which is always unknown in practice. In addition, guidance laws utilizing these tools always have chattering phenomena and large acceleration commands. To solve these problems, this article introduces a barrier function based super twisting controller and expands the controller to a multivariable adaptive form. Consequently, a multivariable adaptive super-twisting guidance law based on barrier function is proposed. Moreover, the stability of the guidance law is analyzed, and the effectiveness and the robustness are demonstrated by three simulation examples. Compared with previous guidance laws using sliding mode control or super-twisting algorithm, the one proposed in this paper does not require the information of target accelerations, nor target acceleration derivatives; it has smaller super-twisting gains so that has smaller acceleration commands; it can increase and decrease the gains to follow the target accelerations and maintain the sliding mode, and it does not chatter.
Keywords	guidance law ; tactical missile ; sliding mode control ; super-twisting algorithm ; barrier function ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	629
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Forest height estimation combining single-polarization tomographic and PolSAR data

Yihao Zhang / Xing Peng / Qinghua Xie / Yanan Du / Bing Zhang / Xiaomin Luo / Shaobo Zhao / Zhentao Hu / Xinwu Li

International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103532- (2023)

2023

Abstract: Forest height is of great significance for forest resource management and forest carbon sink estimation. Tomographic synthetic aperture radar (TomoSAR) technology provides an effective means for the accurate inversion of this parameter. Several multi- ... ...

Abstract	Forest height is of great significance for forest resource management and forest carbon sink estimation. Tomographic synthetic aperture radar (TomoSAR) technology provides an effective means for the accurate inversion of this parameter. Several multi-polarization synthetic aperture radar (SAR) images are generally required to obtain forest height. However, it is common that only a small number of single-polarization images can be acquired, due to the complexity of the systems and the limitations of the observation cycles, and there may be only one fully polarimetric image available. This means that it is impossible to use TomoSAR to estimate forest height over a wide area. Based on this, in this study, we combined polarimetric SAR (PolSAR) variables and single-polarization TomoSAR (SP-TomoSAR) features to estimate forest height for the first time. The image fusion was achieved through the use of six machine learning methods: light gradient-boosting machine (lightGBM), random forest (RF), extreme gradient boosting (XGBoost), gradient-boosted decision tree (GBDT), k-nearest neighbor (KNN), and support vector machine regression (SVR). To investigate the advantages of the proposed method, a small amount of SP-TomoSAR data with non-uniformly distributed baselines and one PolSAR image were acquired over the tropical rainforest of French Guiana. We then used H/A/alpha and Freeman-Durden decomposition methods to obtain the polarization features and applied the Capon algorithm to obtain the tomographic features. Four sets of comparative experiments were carried out, and the results confirmed that the combination of SP-TomoSAR and PolSAR can achieve an accurate estimation of forest height, and the estimation result of the HV tomographic features is better than that of the HH tomographic features. Moreover, after adding the polarization features, the estimation accuracy was clearly improved, compared to using only tomographic features, which suggests that PolSAR can provide important supplementary information for ...
Keywords	Forest height ; Tomographic SAR ; Polarimetric SAR ; Machine learning ; Random forest ; LightGBM ; Physical geography ; GB3-5030 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Rapid, visual and highly sensitive sexing of bovine embryos by recombinase polymerase amplification with CFI staining

Xinyi Pu / Wenjing Wu / Dan Yang / Qi Zhang / Xiaorui Fan / Yanan Du / Liujing Zu / Yan Xu / Chuanwen Sun / Kai Zhao

Heliyon, Vol 9, Iss 3, Pp e14116- (2023)

2023

Abstract: Early bovine embryo sexing both increases the number of offspring of the desired sex, and reduces the subsequent costs of processing unwanted offspring of the opposite sex. The need for cattle of different sexes varies from industry to industry, and a ... ...

Abstract	Early bovine embryo sexing both increases the number of offspring of the desired sex, and reduces the subsequent costs of processing unwanted offspring of the opposite sex. The need for cattle of different sexes varies from industry to industry, and a range of tools have been set up to meet this need, but most are energy- and time-consuming, hence it is important to establish a fast and convenient method for bovine embryo determination. Herein, we established a recombinase polymerase amplification (RPA) method combined with CFI dye (RPA-CFI) for sexing of bovine embryos. The assay is highly sensitive, specific, rapid and simple; it can be carried out in only 5 min at 37 °C in a metal bath, and results are visualised using a fluorescent colorimeter. Highly specific male-female common and male-specific primers were designed based on the 1399 bp repeating unit of bovine 1.715 satellite DNA and the male-specific S4 repeating sequence, respectively. The limit of detection (LOD) of RPA-CFI with male-female common primers was 1 pg/μL, and the LOD with male-specific primers was 2 pg/μL. RPA-CFI could determine the sex of bovine embryos from only two cells. This is the first report using RPA-CFI for sex determination of bovine embryos. The assay could be applied to other economically important animals to improve efficiency in livestock industries. Additionally, the assay could relieve pressure on food demand due to human population growth, and contribute to economic development of global stockbreeding.
Keywords	Cattle ; RPA assay ; RPA-CFI ; Visual detection ; Nucleic acid detection ; Sex determination ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	590
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Scar‐Degrading Endothelial Cells as a Treatment for Advanced Liver Fibrosis

Peng Zhao / Tian Sun / Cheng Lyu / Kaini Liang / Yudi Niu / Yuying Zhang / Chenhui Cao / Canhong Xiang / Yanan Du

Advanced Science, Vol 10, Iss 4, Pp n/a-n/a (2023)

2023

Abstract: Abstract Deposition of extracellular matrix (ECM) in the liver is an important feature of liver cirrhosis. Recovery from liver cirrhosis is physiologically challenging, partially due to the ECM in scar tissue showing resistance to cell‐mediated ... ...

Abstract	Abstract Deposition of extracellular matrix (ECM) in the liver is an important feature of liver cirrhosis. Recovery from liver cirrhosis is physiologically challenging, partially due to the ECM in scar tissue showing resistance to cell‐mediated degradation by secreted matrix metalloproteinases (MMPs). Here, a cell‐mediated ECM‐degradation screening system (CEDSS) in vitro is constructed for high‐throughput searching for cells with tremendous degradation ability. ECM‐degrading liver sinusoidal endothelial cells (dLSECs) are screened using CEDSS, which exhibit 17 times the ability to degrade collagen when compared to other cells. The degradation ability of dLSECs is mediated by the upregulation of MMP9. In particular, mRNA expression of MMP9 shows an 833‐fold increase in dLSECs compared to normal endothelial cells (nLSECs), and MMP9 is regulated by transcription factor c‐Fos. In vivo, single intrasplenic injection of dLSECs alleviates advanced liver fibrosis in mice, while intraperitoneal administration of liver‐targeting peptide‐modified dLSECs shows enhanced fibrosis‐targeting effects. Degradative human umbilical vein endothelial cells (dHUVECs) prove their enhanced potential of clinical translation. Together, these results highlight the potential of ECM‐degrading endothelial cells in alleviating advanced liver fibrosis, thus providing remarkable insights in the development of ECM‐targeting therapeutics.
Keywords	extracellular matrix degradation ; high‐throughput screening system ; liver fibrosis ; liver sinusoidal endothelial cells ; Science ; Q
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Enhanced bone regeneration via endochondral ossification using Exendin-4-modified mesenchymal stem cells

Zihao He / Hui Li / Yuanyuan Zhang / Shuang Gao / Kaini Liang / Yiqi Su / Yanan Du / Du Wang / Dan Xing / Zhen Yang / Jianhao Lin

Bioactive Materials, Vol 34, Iss , Pp 98-

2024 Volume 111

Abstract: Nonunions and delayed unions pose significant challenges in orthopedic treatment, with current therapies often proving inadequate. Bone tissue engineering (BTE), particularly through endochondral ossification (ECO), emerges as a promising strategy for ... ...

Abstract	Nonunions and delayed unions pose significant challenges in orthopedic treatment, with current therapies often proving inadequate. Bone tissue engineering (BTE), particularly through endochondral ossification (ECO), emerges as a promising strategy for addressing critical bone defects. This study introduces mesenchymal stem cells overexpressing Exendin-4 (MSC-E4), designed to modulate bone remodeling via their autocrine and paracrine functions. We established a type I collagen (Col-I) sponge-based in vitro model that effectively recapitulates the ECO pathway. MSC-E4 demonstrated superior chondrogenic and hypertrophic differentiation and enhanced the ECO cell fate in single-cell sequencing analysis. Furthermore, MSC-E4 encapsulated in microscaffold, effectively facilitated bone regeneration in a rat calvarial defect model, underscoring its potential as a therapeutic agent for bone regeneration. Our findings advocate for MSC-E4 within a BTE framework as a novel and potent approach for treating significant bone defects, leveraging the intrinsic ECO process.
Keywords	Mesenchymal stem cells ; Exendin-4 ; Endochondral ossification ; Bone tissue engenieering ; Regenerative medicine ; Nonunion ; Materials of engineering and construction. Mechanics of materials ; TA401-492 ; Biology (General) ; QH301-705.5
Subject code	616
Language	English
Publishing date	2024-04-01T00:00:00Z
Publisher	KeAi Communications Co., Ltd.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Orbit error removal in InSAR/MTInSAR with a patch-based polynomial model

Yanan Du / Haiqiang Fu / Lin Liu / Guangcai Feng / Xing Peng / Debao Wen

International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102438- (2021)

2021

Abstract: The orbit error caused by the inaccuracy of the orbit state vector can lead to fringes in differential interferograms, which can impede the estimation of deformation in differential SAR interferometry (DInSAR) applications. Usually, a set of polynomial ... ...

Abstract	The orbit error caused by the inaccuracy of the orbit state vector can lead to fringes in differential interferograms, which can impede the estimation of deformation in differential SAR interferometry (DInSAR) applications. Usually, a set of polynomial coefficients for an entire SAR image is obtained for orbit error removal. However, the orbit error plane is influenced by overfitting in the case that the SAR satellites do not have a precise orbit. In this paper, a patch-based polynomial method is proposed to fit the orbit error plane. The new method divides an SAR image into several overlapping patches in the azimuth and range directions. Every patch obtains its own polynomial coefficients, and an iterative least-square method is used to mosaic the orbit plane. This method is tested and validated via a simulated dataset and then applied to ALOS1/2 PALSAR and Sentinel-1A datasets. The accuracy of deformation is evaluated by in situ GPS datasets. The results show that the patch-based method can fit the orbit phase plane more accurately than the traditional polynomial model with millimeter-level displacement improvement, especially in the margin areas of ALOS1/2 and for the wide-coverage Sentinel-1A datasets. Moreover, in the MTInSAR parameter calculations, the new method improves the accuracy of mean velocity calculations for ALOS1 time series, with a reduction of RMSE from 4.47 mm/yr to 3.17 mm/yr. Additionally, the new method reduces the spatial correlation of the residual topographic phase, with a mean value reduction from 0.32 m to 0.13 m.
Keywords	Orbit error ; InSAR ; MTInSAR ; Deformation monitoring ; Physical geography ; GB3-5030 ; Environmental sciences ; GE1-350
Subject code	518
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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