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  1. Article ; Online: Sirtuin-3 activates the mitochondrial unfolded protein response and reduces cerebral ischemia/reperfusion injury.

    Xiaowei, Xie / Qian, Xu / Dingzhou, Zhou

    International journal of biological sciences

    2023  Volume 19, Issue 13, Page(s) 4327–4339

    Abstract: Sirtuin-3 (Sirt3) deacetylates several mitochondrial proteins implicated into cerebral ischemia/reperfusion (I/R) injury. The mitochondrial unfolded protein response ( ... ...

    Abstract Sirtuin-3 (Sirt3) deacetylates several mitochondrial proteins implicated into cerebral ischemia/reperfusion (I/R) injury. The mitochondrial unfolded protein response (UPR
    MeSH term(s) Animals ; Mice ; Brain Ischemia ; Mice, Transgenic ; Neuroinflammatory Diseases ; Reperfusion Injury/genetics ; Sirtuin 3/genetics ; Unfolded Protein Response/genetics
    Chemical Substances Sirtuin 3 (EC 3.5.1.-) ; Sirt3 protein, mouse
    Language English
    Publishing date 2023-08-21
    Publishing country Australia
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2179208-2
    ISSN 1449-2288 ; 1449-2288
    ISSN (online) 1449-2288
    ISSN 1449-2288
    DOI 10.7150/ijbs.86614
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Fine simulation of PM

    Li, Daichao / Xu, Fangnian / Chen, Zuoqi / Xie, Xiaowei / Fan, Kunkun / Zeng, Zhan

    The Science of the total environment

    2024  Volume 914, Page(s) 169955

    Abstract: Human activity plays a crucial role in influencing ... ...

    Abstract Human activity plays a crucial role in influencing PM
    Language English
    Publishing date 2024-01-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.169955
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 949: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Letter to the Editor Regarding "The Role of Combined SGLT1/SGLT2 Inhibition in Reducing the Incidence of Stroke and Myocardial Infarction in Patients with Type 2 Diabetes Mellitus".

    Xie, Yafei / Zhang, Xiaowei

    Cardiovascular drugs and therapy

    2022  Volume 36, Issue 3, Page(s) 571–572

    MeSH term(s) Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/drug therapy ; Diabetes Mellitus, Type 2/epidemiology ; Humans ; Hypoglycemic Agents/adverse effects ; Incidence ; Myocardial Infarction/epidemiology ; Myocardial Infarction/prevention & control ; Sodium-Glucose Transporter 2 ; Stroke/diagnosis ; Stroke/epidemiology ; Stroke/prevention & control
    Chemical Substances Hypoglycemic Agents ; Sodium-Glucose Transporter 2
    Language English
    Publishing date 2022-01-24
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 639068-7
    ISSN 1573-7241 ; 0920-3206
    ISSN (online) 1573-7241
    ISSN 0920-3206
    DOI 10.1007/s10557-021-07301-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 3057: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article: 4-Fluorobenzyl cyanide, a sterically-hindered solvent expediting interfacial kinetics in lithium-ion batteries.

    Qin, Mingsheng / Zeng, Ziqi / Wu, Qiang / Liu, Xiaowei / Liu, Qijun / Cheng, Shijie / Xie, Jia

    Chemical science

    2024  Volume 15, Issue 16, Page(s) 6106–6114

    Abstract: The electrochemical performance of lithium-ion batteries (LIBs) is plagued by sluggish interfacial kinetics. Fortunately, the ... ...

    Abstract The electrochemical performance of lithium-ion batteries (LIBs) is plagued by sluggish interfacial kinetics. Fortunately, the Li
    Language English
    Publishing date 2024-03-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2559110-1
    ISSN 2041-6539 ; 2041-6520
    ISSN (online) 2041-6539
    ISSN 2041-6520
    DOI 10.1039/d4sc00013g
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: NeuralRecon: Real-Time Coherent 3D Scene Reconstruction from Monocular Video.

    Chen, Xi / Sun, Jiaming / Xie, Yiming / Bao, Hujun / Zhou, Xiaowei

    IEEE transactions on pattern analysis and machine intelligence

    2024  Volume PP

    Abstract: We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video. Unlike previous methods that estimate single-view depth maps separately on each key-frame and fuse them later, we propose to directly reconstruct ...

    Abstract We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video. Unlike previous methods that estimate single-view depth maps separately on each key-frame and fuse them later, we propose to directly reconstruct local surfaces represented as sparse TSDF volumes for each video fragment sequentially by a neural network. A learning-based TSDF fusion module based on gated recurrent units is used to guide the network to fuse features from previous fragments. This design allows the network to capture local smoothness prior and global shape prior of 3D surfaces when sequentially reconstructing the surfaces, resulting in accurate, coherent, and real-time surface reconstruction. The fused features can also be used to predict semantic labels, allowing our method to reconstruct and segment the 3D scene simultaneously. Furthermore, we purpose an efficient self-supervised fine-tuning scheme that refines scene geometry based on input images through differentiable volume rendering. This fine-tuning scheme improves reconstruction quality on the fine-tuned scenes as well as the generalization to similar test scenes. The experiments on ScanNet, 7-Scenes and Replica datasets show that our system outperforms state-of-the-art methods in terms of both accuracy and speed.
    Language English
    Publishing date 2024-04-24
    Publishing country United States
    Document type Journal Article
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2024.3393141
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity.

    Xie, Mengying / Liu, Xiaolan / Yang, Xiaowei / Cai, Wenzeng

    IEEE transactions on cybernetics

    2023  Volume 53, Issue 12, Page(s) 7521–7534

    Abstract: Multichannel image completion with mixture noise is a common but complex problem in the fields of machine learning, image processing, and computer vision. Most existing algorithms devote to explore global low-rank information and fail to optimize local ... ...

    Abstract Multichannel image completion with mixture noise is a common but complex problem in the fields of machine learning, image processing, and computer vision. Most existing algorithms devote to explore global low-rank information and fail to optimize local and joint-mode structures, which may lead to oversmooth restoration results or lower quality restoration details. In this study, we propose a novel model to deal with multichannel image completion with mixture noise based on adaptive sparse low-rank tensor subspace and nonlocal self-similarity (ASLTS-NS). In the proposed model, a nonlocal similar patch matching framework cooperating with Tucker decomposition is used to explore information of global and joint modes and optimize the local structure for improving restoration quality. In order to enhance the robustness of low-rank decomposition to data missing and mixture noise, we present an adaptive sparse low-rank regularization to construct robust tensor subspace for self-weighing importance of different modes and capturing a stable inherent structure. In addition, joint tensor Frobenius and l
    Language English
    Publishing date 2023-11-29
    Publishing country United States
    Document type Journal Article
    ISSN 2168-2275
    ISSN (online) 2168-2275
    DOI 10.1109/TCYB.2022.3169800
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: The occurrence of clubroot in cruciferous crops correlates with the chemical and microbial characteristics of soils.

    Kang, Huajun / Lin, Zihan / Yuan, Xiaowei / Shi, Yanxia / Xie, Xuewen / Li, Lei / Fan, Tengfei / Li, Baoju / Chai, Ali

    Frontiers in microbiology

    2024  Volume 14, Page(s) 1293360

    Abstract: Clubroot disease, caused ... ...

    Abstract Clubroot disease, caused by
    Language English
    Publishing date 2024-01-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2023.1293360
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Editorial: Responsive biomaterials for controlled release and cancer theranostics.

    Gao, Nansha / Zeng, Xiaowei / Chen, Hongzhong / Pan, Guoqing / Chen, Guojun / Xie, Zhongjian

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1255293

    Language English
    Publishing date 2023-07-19
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1255293
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning.

    Huang, Pei / Xie, Mengying / Yang, Xiaowei

    IEEE transactions on neural networks and learning systems

    2023  Volume PP

    Abstract: Unsupervised feature selection is challenging in machine learning, pattern recognition, and data mining. The crucial difficulty is to learn a moderate subspace that preserves the intrinsic structure and to find uncorrelated or independent features ... ...

    Abstract Unsupervised feature selection is challenging in machine learning, pattern recognition, and data mining. The crucial difficulty is to learn a moderate subspace that preserves the intrinsic structure and to find uncorrelated or independent features simultaneously. The most common solution is first to project the original data into a lower dimensional space and then force them to preserve the similar intrinsic structure under linear uncorrelation constraint. However, there are three shortcomings. First, the final graph generated by the iterative learning process differs significantly from the initial graph in which the original intrinsic structure is embedded. Second, it requires prior knowledge about a moderate dimension of subspace. Third, it is inefficient when dealing with high-dimensional datasets. The first shortcoming, which is longstanding and undiscovered, makes the previous methods fail to achieve their expected results. The last two ones increase the difficulty of applying in different fields. Therefore, two unsupervised feature selection methods are proposed based on controllable adaptive graph learning and uncorrelated/independent feature learning (CAG-U and CAG-I) to address the abovementioned issues. In the proposed methods, the final graph that preserves intrinsic structure can be adaptively learned while the difference between the two graphs can be well controlled. Besides, relatively uncorrelated/independent features can be selected using a discrete projection matrix. The experimental results on 12 datasets in different fields show the superiority of CAG-U and CAG-I.
    Language English
    Publishing date 2023-07-04
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2023.3288734
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Associated factors for prenatally diagnosed fetal congenital heart diseases.

    Ruan, Yanping / Xie, Zan / Liu, Xiaowei / He, Yihua

    BMC cardiovascular disorders

    2023  Volume 23, Issue 1, Page(s) 52

    Abstract: Objective: Current studies have suggested that fetal congenital heart diseases (CHDs) are caused by various factors. However, few data in this field is available in China. This study aimed to detect associated factors of prenatally diagnosed fetal CHD ... ...

    Abstract Objective: Current studies have suggested that fetal congenital heart diseases (CHDs) are caused by various factors. However, few data in this field is available in China. This study aimed to detect associated factors of prenatally diagnosed fetal CHD in a large sample in China.
    Study design: Pregnant women who underwent fetal echocardiography were recruited in our hospital between May 2018 and September 2019. The maternal sociodemographic and lifestyle characteristics and some fetal factors were obtained. We used forward stepwise logistic regression analysis to assess risk of fetal CHD associated with various factors.
    Results: A total of 5024 subjects were enrolled, of whom 875 had CHD fetuses. Among the fetal CHD group (N = 875), critical CHDs account for 27%, of which Tetralogy of Fallot is the most (7.1%), followed by coarctation of aorta (4.0%), double-outlet right ventricle (2.9%). The forward stepwise logistic regression models revealed that history of spontaneous abortion (OR = 1.59, 95% CI 1.33-1.91, P = 0.000), upper respiratory tract infection during early pregnancy (OR = 1.30, 95% CI 1.04-1.62, P = 0.020), mental stress during early pregnancy (OR = 2.37, 95% CI 1.15-4.91, P = 0.020), single umbilical artery (OR = 2.30, 95% CI 1.18-4.51, P = 0.015), and paternal smoking (OR = 1.21, 95% CI 1.02-1.44, P = 0.027) are positively associated with an increased risk of fetal CHD.
    Conclusion: We identified several factors positively associated with fetal CHD. These findings suggest that it is important to strengthen healthcare and prenatal counseling for women with these factors.
    MeSH term(s) Pregnancy ; Female ; Humans ; Heart Defects, Congenital/diagnostic imaging ; Heart Defects, Congenital/epidemiology ; Heart Defects, Congenital/complications ; Fetus ; Ultrasonography, Prenatal ; Echocardiography ; Aortic Coarctation/complications
    Language English
    Publishing date 2023-01-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2059859-2
    ISSN 1471-2261 ; 1471-2261
    ISSN (online) 1471-2261
    ISSN 1471-2261
    DOI 10.1186/s12872-022-02981-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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