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  1. Article ; Online: Interview with Xiaoli Wang PhD winner of CACA 2016 Young Investigator Award

    Xiaoli Wang

    Journal of Applied Bioanalysis, Vol 2, Iss 3, Pp 81-

    2016  Volume 83

    Abstract: Xiaoli Wang is currently an R&D Senior Scientist in Agilent’s HPLC instrument R&D group at Agilent ...

    Abstract Xiaoli Wang is currently an R&D Senior Scientist in Agilent’s HPLC instrument R&D group at Agilent Technologies, Waldbronn, Germany. Prior to this, he was an R&D manager in Agilent’s CrossLab Group in the US focusing on development of novel chromatographic columns. He has a B.S. degree in Chemistry from Peking University, Beijing China and a PhD. degree in Analytical Chemistry from the University of Minnesota in 2006. He started his industrial career in the pharmaceutical industry at AstraZeneca for four years before joining Agilent Technologies in 2010. Recently, he won the prestigious 2016 Young Investigator Award from Chinese American Chromatography Association (CACA). This interview was conducted by Roland J.W. Meesters PhD, Editor-in-Chief of Journal of Applied Bioanalysis.
    Keywords Pharmacy and materia medica ; RS1-441 ; Chemistry ; QD1-999
    Language English
    Publishing date 2016-07-01T00:00:00Z
    Publisher Betasciencepress Publishers
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Osteoma cutis in pseudohypoparathyroidism type 1A.

    Wang, Xiaoli

    QJM : monthly journal of the Association of Physicians

    2024  

    Language English
    Publishing date 2024-01-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 1199985-8
    ISSN 1460-2393 ; 0033-5622 ; 1460-2725
    ISSN (online) 1460-2393
    ISSN 0033-5622 ; 1460-2725
    DOI 10.1093/qjmed/hcae017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Electrocardiogram prediction of atrial fibrillation risk after stroke: A protocol for systematic review and meta-analysis.

    Cheng, Xiaoli / Wang, Xiaoli

    Medicine

    2024  Volume 103, Issue 15, Page(s) e37582

    Abstract: Background: Atrial fibrillation (AF) is one of the most common clinical arrhythmias. This study aims to predict the risk of post-stroke AF through electrocardiographic changes in sinus rhythm.: Methods: We searched the MEDLINE (PubMed) and EMBASE ... ...

    Abstract Background: Atrial fibrillation (AF) is one of the most common clinical arrhythmias. This study aims to predict the risk of post-stroke AF through electrocardiographic changes in sinus rhythm.
    Methods: We searched the MEDLINE (PubMed) and EMBASE databases to identify relevant research articles published until August 2023. Prioritized items from systematic reviews and meta-analyses were screened, and data related to AF detection rate were extracted. A meta-analysis using a random-effects model was conducted for data synthesis and analysis.
    Results: A total of 32 studies involving electrocardiograms (ECG) were included, with a total analysis population of 330,284 individuals. Among them, 16,662 individuals (ECG abnormal group) developed AF, while 313,622 individuals (ECG normal group) did not. ECG patterns included terminal P-wave terminal force V1, interatrial block (IAB), advanced interatrial block, abnormal P-wave axis, pulse rate prolongation, and atrial premature complexes. Overall, 15,762 patients experienced AF during the study period (4.77%). In the ECG abnormal group, the proportion was 14.21% (2367/16,662), while in the control group (ECG normal group), the proportion was 4.27% (13,395/313,622). The pooled risk ratio for developing AF was 2.45 (95% confidence interval [CI]: 2.02-2.98, P < .001), with heterogeneity (I2) of 95%. The risk ratio values of alAB, P-wave terminal force V1, interatrial block, abnormal P-wave axis, pulse rate prolongation and atrial premature complexes were 4.12 (95% CI, 2.99-5.66), 1.47 (95% CI, 1.19-1.82), 2.54 (95% CI, 1.83-3.52), 1.70 (95% CI, 0.98-2.97), 2.65 (95% CI, 1.88-3.72), 3.79 (95% CI, 2.12-6.76), respectively.
    Conclusion: There is a significant correlation between ECG patterns and the occurrence of AF. The alAB exhibited the highest level of predictability for the occurrence of AF. These indicators support their use as screening tools to identify high-risk individuals who may benefit from further examinations or empirical anticoagulation therapy following stroke.
    MeSH term(s) Humans ; Atrial Fibrillation/complications ; Atrial Fibrillation/diagnosis ; Atrial Fibrillation/epidemiology ; Atrial Premature Complexes ; Interatrial Block ; Systematic Reviews as Topic ; Meta-Analysis as Topic ; Heart Rate ; Electrocardiography
    Language English
    Publishing date 2024-04-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000037582
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Improved H

    Dou, Bingxin / Wang, Guanlong / Dong, Xiaoli / Zhang, Xiufang

    ACS applied materials & interfaces

    2024  Volume 16, Issue 6, Page(s) 7374–7383

    Abstract: Co-N-C based catalysts have emerged as a prospective alternative for ... ...

    Abstract Co-N-C based catalysts have emerged as a prospective alternative for H
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c18879
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Cerebral venous thrombosis in a pediatric patient undergoing multi-drug therapy for chronic primary immune thrombocytopenia: A case report and interview.

    Wang, Xiaoli / Wang, Li / Li, Aimin / Xin, Yi

    Asian journal of surgery

    2024  

    Language English
    Publishing date 2024-03-23
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2024.03.072
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 2831: Show issues Location:
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  6. Article ; Online: Enhancing the National Biosecurity System in China amidst COVID-19 Epidemic.

    Wang, Xiaoli

    Journal of biosafety and biosecurity

    2020  Volume 2, Issue 1, Page(s) 3–4

    Keywords covid19
    Language English
    Publishing date 2020-04-17
    Publishing country Netherlands
    Document type Journal Article ; Review
    ISSN 2588-9338
    ISSN (online) 2588-9338
    DOI 10.1016/j.jobb.2020.03.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A retrospective on the intellectual adventures of think tanks in biosecurity before and after the COVID-19 pandemic outbreak

    Xiaoli Wang

    Journal of Biosafety and Biosecurity, Vol 3, Iss 2, Pp 155-

    2021  Volume 162

    Abstract: Think tanks play a fundamental role in shaping policy agendas in Western countries, especially in the US. As international biosecurity is turning from a moderate to a serious concern, the convergence of biosecurity subjects and think tanks is evidently ... ...

    Abstract Think tanks play a fundamental role in shaping policy agendas in Western countries, especially in the US. As international biosecurity is turning from a moderate to a serious concern, the convergence of biosecurity subjects and think tanks is evidently increasing. Examining the involvement and implication of think tanks in biosecurity policy formulation domestically and internationally is, therefore, of great value. This article takes a brief look at the intellectual output of over 30 think tanks during the last five years, before and after the outbreak of COVID-19, and tries to build an understanding of the extent to which these think tanks informed strategic, operational, and tactical decisions, with the aim of providing a better basis for dealing with sophisticated biological threats.
    Keywords Think tanks ; Biosecurity ; COVID-19 ; Technology convergence ; Strategic research ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher KeAi Communications Co., Ltd.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Injectable thermosensitive hydrogel loading erythropoietin and FK506 alleviates gingival inflammation and promotes periodontal tissue regeneration.

    Gu, Zhongyi / Qiu, Caiqing / Chen, Ling / Wang, Xiaoli

    Frontiers in bioengineering and biotechnology

    2024  Volume 11, Page(s) 1323554

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1323554
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A commentary on 'Intelligent cataract surgery supervision and evaluation via deep learning'.

    Wang, Xiaoli / Gao, Yunxia / Cai, Fangrong / Zhang, Ming

    International journal of surgery (London, England)

    2024  Volume 110, Issue 3, Page(s) 1855–1856

    MeSH term(s) Humans ; Deep Learning ; Cataract Extraction ; Cataract
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2212038-5
    ISSN 1743-9159 ; 1743-9191
    ISSN (online) 1743-9159
    ISSN 1743-9191
    DOI 10.1097/JS9.0000000000001030
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6502: Show issues Location:
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  10. Article ; Online: YOLO-SK

    Shihang Wang / Xiaoli Hao

    Heliyon, Vol 10, Iss 2, Pp e24143- (2024)

    A lightweight multiscale object detection algorithm

    2024  

    Abstract: YOLOv5 is an excellent object-detection model. However, it fails to fully use multiscale information when detecting objects with significant scale variations. It might use irrelevant contextual information, leading to incorrect predictions, particularly ... ...

    Abstract YOLOv5 is an excellent object-detection model. However, it fails to fully use multiscale information when detecting objects with significant scale variations. It might use irrelevant contextual information, leading to incorrect predictions, particularly for low-performance devices. In this study, we selected lightweight YOLOv5s as the baseline model and proposed an improved model called YOLO-SK to overcome this limitation. YOLO-SK introduced several key improvements, the most important being the collaborative work of the weighted dense feature fusion network and SK attention prediction head. The proposed weighted dense feature fusion network could dynamically fuse features at different scales using autonomous learning parameters and cross-layer fusion capabilities. This enabled a balanced feature fusion ability in the output feature maps of different scales, thereby enhancing the richness of the effective information in the fused feature maps. The prediction head equipped with the SK attention mechanism broadened the scope of the model's receptive field and sharpened the focus on the target characteristics. This made it possible to glean more information about the target from the feature map output by employing a weighted dense feature fusion network. In addition, in order to improve the model's performance in terms of both accuracy and volume, we implemented the SIoU loss function and the Ghost Conv. The use of the model allowed for a more precise and in-depth comprehension of the event, which was made possible by all of these various methods of improvement. Extensive testing done on the PASCAL VOC 2007 and 2012 datasets showed that YOLO-SK was able to achieve considerable gains in prediction accuracy when compared with the baseline model (YOLOv5s), all while keeping the same level of model complexity. To be more specific, mAP@.5 increased by 2.6 %, and mAP@.5:.95 increased by 4.8 %. The advancements that were made and detailed in this paper could serve as a springboard for additional research that aims to ...
    Keywords Object detection ; YOLOv5 ; Attention mechanism ; Weighted feature fusion ; Ghost convolution ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 004
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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