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  1. Book ; Thesis: The effects of pan-lysyl oxidase/lysyl oxidase-like proteins inhibition combined with 5-azacytidine on myeloid neoplasms with bone marrow fibrosis

    Xu, Qingyu

    2021  

    Institution Universität Heidelberg
    Author's details vorgelegt von Qingyu Xu
    Language English
    Size 111 Blätter, Illustrationen, Diagramme, 30 cm
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität zu Heidelberg, 2022
    HBZ-ID HT021835710
    Database Catalogue ZB MED Medicine, Health

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  2. Article: Comparing COVID-19 metaphors in Chinese and English social media with critical metaphor analysis.

    Xu, Qingshu

    Frontiers in psychology

    2023  Volume 14, Page(s) 1198265

    Abstract: Metaphors extracted from COVID-19-related online texts offer a unique lens for examining how individuals perceive the pandemic. Users from distinct linguistic backgrounds may select varying source domains to discuss COVID-19, with these choices ... ...

    Abstract Metaphors extracted from COVID-19-related online texts offer a unique lens for examining how individuals perceive the pandemic. Users from distinct linguistic backgrounds may select varying source domains to discuss COVID-19, with these choices influenced by multiple factors. Utilizing Critical Metaphor Analysis (CMA) theory and employing the Metaphor Identification Procedure VU (MIPVU), this study conducts a comparative analysis of Chinese and English COVID-19-related metaphors derived from social media platforms, specifically Twitter and Weibo. The findings reveal both commonalities and distinctions between the metaphors employed in Chinese and English texts. Commonalities encompass the widespread use of war and disaster metaphors in both sets of texts. Distinctions are characterized by a higher prevalence of zombie metaphors in English texts and classroom metaphors in Chinese texts. These similarities and differences can be attributed to varying socio-historical factors, as well as the active choices of users to express their values and judgments.
    Language English
    Publishing date 2023-06-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1198265
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: A Multi-objective Newton Optimization Algorithm for Hyper-Parameter Search

    Xu, Qinwu

    2024  

    Abstract: This study proposes a Newton based multiple objective optimization algorithm for hyperparameter search. The first order differential (gradient) is calculated using finite difference method and a gradient matrix with vectorization is formed for fast ... ...

    Abstract This study proposes a Newton based multiple objective optimization algorithm for hyperparameter search. The first order differential (gradient) is calculated using finite difference method and a gradient matrix with vectorization is formed for fast computation. The Newton Raphson iterative solution is used to update model parameters with iterations, and a regularization term is included to eliminate the singularity issue. The algorithm is applied to search the optimal probability threshold (a vector of eight parameters) for a multiclass object detection problem of a convolutional neural network. The algorithm quickly finds the improved parameter values to produce an overall higher true positive (TP) and lower false positive (FP) rates, as compared to using the default value of 0.5. In comparison, the Bayesian optimization generates lower performance in the testing case. However, the performance and parameter values may oscillate for some cases during iterations, which may be due to the data driven stochastic nature of the subject. Therefore, the optimal parameter value can be identified from a list of iteration steps according to the optimal TP and FP results.

    Comment: 16 figures, 17 pages
    Keywords Mathematics - Optimization and Control ; Computer Science - Machine Learning
    Subject code 518
    Publishing date 2024-01-07
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: A Fast Graph Search Algorithm with Dynamic Optimization and Reduced Histogram for Discrimination of Binary Classification Problem

    Xu, Qinwu

    2024  

    Abstract: This study develops a graph search algorithm to find the optimal discrimination path for the binary classification problem. The objective function is defined as the difference of variations between the true positive (TP) and false positive (FP). It uses ... ...

    Abstract This study develops a graph search algorithm to find the optimal discrimination path for the binary classification problem. The objective function is defined as the difference of variations between the true positive (TP) and false positive (FP). It uses the depth first search (DFS) algorithm to find the top-down paths for discrimination. It proposes a dynamic optimization procedure to optimize TP at the upper levels and then reduce FP at the lower levels. To accelerate computing speed with improving accuracy, it proposes a reduced histogram algorithm with variable bin size instead of looping over all data points, to find the feature threshold of discrimination. The algorithm is applied on top of a Support Vector Machine (SVM) model for a binary classification problem on whether a person is fit or unfit. It significantly improves TP and reduces FP of the SVM results (e.g., reduced FP by 90% with a loss of only\ 5% TP). The graph search auto-generates 39 ranked discrimination paths within 9 seconds on an input of total 328,464 objects, using a dual-core Laptop computer with a processor of 2.59 GHz.

    Comment: 14 pages, 8 figures, 1 table
    Keywords Computer Science - Machine Learning
    Subject code 006
    Publishing date 2024-01-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Image Fusion and Stylization Processing Based on Multiscale Transformation and Convolutional Neural Network.

    Xu, Qingzeng

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 1181189

    Abstract: With the continuous development of imaging sensors, images contain more and more information, the images presented by different types of sensors are different, and the images obtained by the same type of sensors under different parameters or conditions ... ...

    Abstract With the continuous development of imaging sensors, images contain more and more information, the images presented by different types of sensors are different, and the images obtained by the same type of sensors under different parameters or conditions are also different. Multisource image fusion technology combines images acquired by different types of sensors or the same type of sensors with different parameter settings, which makes the image information more complete, compensates for the limitations of images of the same type, and also allows you to save information about the characteristics of the original image. Multimodal image mosaic and multifocal image mosaic have been studied in detail in two directions. On the one hand, a method based on frequency domain transformation is used for multiscale image decomposition. On the other hand, image extraction with neural network-based methods is proposed. The technology of convolutional neural networks (CNNs) allows to extract richer texture features. However, when using this method for fusion, it is difficult to obtain an accurate decision map, and there are artifacts in the fusion boundary. Based on this, a multifocal fusion method based on a two-stage CNN is proposed. Train the advanced intensive network to classify input image blocks as focus, and then use the appropriate merge rules to get the ideal decision tree. In addition, several versions of the fuzzy learning set have been developed to improve network performance. Experimental results show that the frames of the first stage proposed by the algorithm make it possible to obtain an accurate decision scheme and that the frames of the second stage make it possible to eliminate the pseudo-shadow of the integration boundary.
    MeSH term(s) Algorithms ; Artifacts ; Image Processing, Computer-Assisted/methods ; Learning ; Neural Networks, Computer
    Language English
    Publishing date 2022-04-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/1181189
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Immediate application of frozen-thawed embryo transfer cycle in month following COVID-19 infection does not impair subsequent pregnancy outcomes.

    Xu, Q / Mao, X / Zhang, J / Wu, L

    Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology

    2024  

    Abstract: Objectives: To investigate whether immediate frozen embryo transfer (FET) in the next month following COVID-19 recovery affects the subsequent pregnancy outcomes.: Methods: A retrospective cohort study was carried out at a university-affiliated ... ...

    Abstract Objectives: To investigate whether immediate frozen embryo transfer (FET) in the next month following COVID-19 recovery affects the subsequent pregnancy outcomes.
    Methods: A retrospective cohort study was carried out at a university-affiliated reproductive medicine center. The study group (post-COVID-19 group) consisted of women who were afflicted with COVID-19 in December 2022 and immediately invested in FET in January 2023 after recovery, with embryos transferred and not exposed to the infection. The control group was composed of women treated during the pre-COVID-19 period (January 2019). Multivariable logistic regression analyses as well as a propensity score matching (PSM) approach were introduced to control for the potential confounders and selection bias.
    Results: A total of 200 patients were included in the post-COVID-19 group while a total of 641 women were enrolled in the control group. The rate of ongoing pregnancy was comparable between the study cohorts in both the unadjusted and confounder-adjusted logistic regression models. The other reproductive outcomes, including the odds of the positive pregnancy test, implantation, clinical pregnancy, and early pregnancy loss were all similar between the comparison groups. Results from PSM models further confirmed the lack of significant differences in pregnancy outcomes between the post-COVID-19 group versus the control group.
    Conclusion: Our findings suggested that for patients who get infected with COVID-19, the immediate investment in a FET cycle in the next month after recovery did not seem to compromise the ongoing pregnancy outcomes in cases of transferred embryos resulting from the pre-infection stage. Thus, women who had frozen embryos from the pre-infection cycles should be counseled and encouraged to invest in IVF as soon as possible after recovering from COVID-19 infection. This article is protected by copyright. All rights reserved.
    Language English
    Publishing date 2024-03-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 1073183-0
    ISSN 1469-0705 ; 0960-7692
    ISSN (online) 1469-0705
    ISSN 0960-7692
    DOI 10.1002/uog.27630
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Full sample analysis of cerebral venous sinus thrombosis in ophthalmology inpatients.

    Li, H / Wei, S / Xu, Q

    Journal francais d'ophtalmologie

    2024  Volume 47, Issue 3, Page(s) 104074

    Abstract: Purpose: We hope that by analyzing the clinical features of cerebral venous sinus thrombosis (CVST), we can help ophthalmologists reduce misdiagnosis or delayed diagnosis.: Design: We evaluated 47 patients with CVST in terms of clinical ... ...

    Abstract Purpose: We hope that by analyzing the clinical features of cerebral venous sinus thrombosis (CVST), we can help ophthalmologists reduce misdiagnosis or delayed diagnosis.
    Design: We evaluated 47 patients with CVST in terms of clinical manifestations.
    Methods: All cases were analyzed in terms of risk factors, clinical symptoms, ophthalmic examination, imaging examination and lumbar puncture.
    Results: The body mass indices (BMIs) of 41 patients (87.2%; 95% CI, 77.7-96.8%) were≥24, which is overweight by Chinese standards. There were 22 patients (46.8%; 95% CI, 32.5-61.1%) with BMIs≥28, who were considered obese. Thirteen were hypertensive (27.7%; 95% CI, 14.9-40.5%). The initial symptoms included blurred vision (23, 48.9%; 95% CI, 34.6-63.2%), amaurosis fugax (13, 27.7%; 95% CI, 14.9-40.5%), headache (11 patients, 23.4%; 95% CI, 11.3-35.5%), dizziness (3, 6.4%; 95% CI, -0.6-13.4%), and bilateral diplopia (3, 6.4%; 95% CI, -0.6-13.4%). There were 9 patients (9, 19.2%; 95% CI, 7.9-30.4%) with blindness, 23 patients (48.9%; 95% CI, 34.6-63.2%) with pupillary abnormalities, and 40 patients (85.1%; 95% CI, 74.9-95.2%) with papilledema. Forty-three of the 45 patients who successfully underwent a routine lumbar puncture showed high intracranial pressure (91.7%; 95.6% CI, 89.6-101.6%). Finally, two cases are reported in greater detail for illustrative purposes.
    Conclusion: The main reasons interfering with the diagnosis of CVST might be its nonspecific ocular symptoms and the physicians' clinical thought process being limited to the scope of common ophthalmological diseases.
    MeSH term(s) Humans ; Inpatients ; Ophthalmology ; Eye ; Amaurosis Fugax ; Sinus Thrombosis, Intracranial/complications ; Sinus Thrombosis, Intracranial/diagnosis ; Sinus Thrombosis, Intracranial/epidemiology
    Language English
    Publishing date 2024-02-19
    Publishing country France
    Document type Journal Article
    ZDB-ID 426662-6
    ISSN 1773-0597 ; 0181-5512
    ISSN (online) 1773-0597
    ISSN 0181-5512
    DOI 10.1016/j.jfo.2024.104074
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: The Arrow of Time in Music -- Revisiting the Temporal Structure of Music with Distinguishability and Unique Orientability as the Anchor Point

    Xu, Qi

    2023  

    Abstract: Driven by the term "the arrow of time" as a general topic, the article develops a musical discussion by referring to the etymological origin of the term: philosophy (epistemology) and physics (thermodynamics). In particular, the article explores two ... ...

    Abstract Driven by the term "the arrow of time" as a general topic, the article develops a musical discussion by referring to the etymological origin of the term: philosophy (epistemology) and physics (thermodynamics). In particular, the article explores two specific conditions: distinguishability and unique orientability, from which the article derives respective musical propositions and case studies. For the distinguishability condition, the article focuses on the "recurrence" in music and tries to interpret Bach's Christmas Oratorio from the perspective of "birth/resurrection". For the unique orientability condition, the article discusses the process of delaying the climax, thereby proposing "AB-AAB left-replication" model, implying an organicist view by treating the temporal structure of music (e.g. form) as the product of a dynamic process: organic growth.
    Keywords Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 780
    Publishing date 2023-12-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: [Research advances on the influence of poor dietary habits on the development of keloids].

    Xu, Q / Liu, W

    Zhonghua shao shang yu chuang mian xiu fu za zhi

    2022  Volume 38, Issue 4, Page(s) 389–393

    Abstract: Long-term poor dietary habits can cause changes in the intestinal flora, resulting in the production of a large number of lipopolysaccharide, increase intestinal mucosal permeability, and activate the entrance of a large number of inflammatory factors ... ...

    Abstract Long-term poor dietary habits can cause changes in the intestinal flora, resulting in the production of a large number of lipopolysaccharide, increase intestinal mucosal permeability, and activate the entrance of a large number of inflammatory factors into the portal vein. In addition, a high carbohydrate diet can increase liver metabolic burden, increase mitochondrial oxidative phosphorylation, leading to oxidative stress, generate new fat during adenosine triphosphate synthesis, and thus resulting in ectopic fat accumulation, which further activate nuclear factor-κB signaling pathway and release inflam- matory factors such as tumor necrosis factor-α, interleukin-1β (IL-1β), IL-6, and so on. This leads to obesity and insulin resis- tance, ultimately triggering systemic low-grade inflammation. This article reviews the mechanism of poor dietary habits leading to systemic low-grade inflammation, the clinical and experimental research progress of keloids and systemic low-grade inflammation, the association between dietary habits and keloid constitution, and puts forward the hypothesis that poor dietary habits may lead to the occurrence and development of keloids.
    MeSH term(s) Diet/adverse effects ; Feeding Behavior ; Humans ; Inflammation/etiology ; Inflammation/immunology ; Inflammation/metabolism ; Keloid/etiology ; Keloid/immunology ; Keloid/physiopathology ; NF-kappa B/metabolism ; Tumor Necrosis Factor-alpha/metabolism
    Chemical Substances NF-kappa B ; Tumor Necrosis Factor-alpha
    Language Chinese
    Publishing date 2022-04-26
    Publishing country China
    Document type Journal Article ; Review
    ISSN 2097-1109
    ISSN 2097-1109
    DOI 10.3760/cma.j.cn501120-20210401-00112
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Bloomy Rind Sign: A Marker of Meningeal Metastasis of Lung Adenocarcinoma.

    Huang, Ying / Xu, Qianhui

    Neurology India

    2024  Volume 71, Issue 6, Page(s) 1339–1340

    MeSH term(s) Humans ; Adenocarcinoma of Lung ; Lung Neoplasms/pathology ; Meningeal Carcinomatosis ; Meningeal Neoplasms/diagnostic imaging ; Meningeal Neoplasms/secondary
    Language English
    Publishing date 2024-01-04
    Publishing country India
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 415522-1
    ISSN 1998-4022 ; 0028-3886
    ISSN (online) 1998-4022
    ISSN 0028-3886
    DOI 10.4103/0028-3886.391374
    Database MEDical Literature Analysis and Retrieval System OnLINE

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