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  1. Book ; Online ; E-Book: Laparoscopic and Robotic Surgery in Urology

    Zhang, Xu

    2020  

    Abstract: This book is a practical guide to the laparoscopic and robotic surgery technique in urology. It includes 34 chapters in three sections, which are adrenal gland, kidney and ureter surgery, bladder and prostate surgery and lympadenectomy. This book covers ... ...

    Author's details edited by Xu Zhang
    Abstract This book is a practical guide to the laparoscopic and robotic surgery technique in urology. It includes 34 chapters in three sections, which are adrenal gland, kidney and ureter surgery, bladder and prostate surgery and lympadenectomy. This book covers all parts of laparoscopic and robotic urological surgery, including methods in patient selection, peri-operative management, step-by-step descriptions of specific techniques and complication avoidance. It is accompanied with over 800 illustrations and real-time capture figures. It also includes over 40 surgery videos with online access. Through the combination of texts, pictures and videos, it presents the surgical designing, surgical procedures and surgical techniques in panorama. This book is a good reference book for urologists who interested in these techniques.
    Keywords Urology ; Minimally invasive surgery ; Minimally Invasive Surgery
    Subject code 617.460597
    Language English
    Size 1 online resource (X, 323 p. 854 illus., 840 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer Singapore ; Imprint: Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-13-3738-1 ; 981-13-3737-3 ; 978-981-13-3738-3 ; 978-981-13-3737-6
    DOI 10.1007/978-981-13-3738-3
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Emerging roles of ADP-dependent glucokinase in prostate cancer.

    Zhang, Xu

    Military Medical Research

    2024  Volume 11, Issue 1, Page(s) 15

    MeSH term(s) Humans ; Male ; Glucokinase/metabolism ; Prostatic Neoplasms ; Prostate
    Chemical Substances ADP-dependent glucokinase (EC 2.7.1.-) ; Glucokinase (EC 2.7.1.2)
    Language English
    Publishing date 2024-02-27
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2768940-2
    ISSN 2054-9369 ; 2054-9369
    ISSN (online) 2054-9369
    ISSN 2054-9369
    DOI 10.1186/s40779-024-00518-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Understanding Motor Unit and Muscle Alterations for Neurologic Rehabilitation

    Zhou, Ping / Zhang, Xu / Zev Rymer, William / Zhang, Yingchun

    2020  

    Keywords Medicine ; Neurology & clinical neurophysiology ; Neurological injuries ; neurorehabilitation ; disability ; motor unit ; muscle
    Size 1 electronic resource (106 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230515
    ISBN 9782889633043 ; 2889633047
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article: Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data

    Zhang, Xu / Wang, Huihui

    Journal of food quality, 2018:1809297

    2018  

    Abstract: For the identification of salmon adulteration with water injection, a nondestructive identification method based on hyperspectral images was proposed. The hyperspectral images of salmon fillets in visible and near-infrared ranges (390–1050 nm) were ... ...

    Abstract For the identification of salmon adulteration with water injection, a nondestructive identification method based on hyperspectral images was proposed. The hyperspectral images of salmon fillets in visible and near-infrared ranges (390–1050 nm) were obtained with a system. The original hyperspectral data were processed through the principal-component analysis (PCA). According to the image quality and PCA parameters, a second principal-component (PC2) image was selected as the feature image, and the wavelengths corresponding to the local extremum values of feature image weighting coefficients were extracted as feature wavelengths, which were 454.9, 512.3, and 569.1 nm. On this basis, the color combined with spectra at feature wavelengths, texture combined with spectra at feature wavelengths, and color-texture combined with spectra at feature wavelengths were independently set as the input, for the modeling of salmon adulteration identification based on the self-organizing feature map (SOM) network. The distances between neighboring neurons and feature weights of the models were analyzed to realize the visualization of identification results. The results showed that the SOM-based model, with texture-color combined with fusion features of spectra at feature wavelengths as the input, was evaluated to possess the best performance and identification accuracy is as high as 96.7%.
    Language English
    Document type Article
    Database Repository for Life Sciences

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  5. Article ; Online: Major depressive disorder increased the risk of hypertension: A Mendelian randomization study.

    Zhang, Xu / Li, Cheng

    Journal of affective disorders

    2024  Volume 355, Page(s) 184–189

    Abstract: Background: Despite the high prevalence of comorbid hypertension in patients with major depressive disorder (MDD), the relationship between the two diseases has received little attention. Previous observational studies have descripted the association ... ...

    Abstract Background: Despite the high prevalence of comorbid hypertension in patients with major depressive disorder (MDD), the relationship between the two diseases has received little attention. Previous observational studies have descripted the association between MDD and hypertension, the causality from MDD on hypertension remained unknown. The present Mendelian randomization (MR) study aimed to assess the causal effect of MDD on hypertension.
    Methods: A set of genetics instrument was used for analysis, derived from publicly available genetic meta-analysis data. A total of 44 single-nucleotide polymorphisms (SNPs) associated with MDD. The largest genome-wide association study (GWAS) for hypertension (54,358 cases and 408,652 controls) was used to assess the effect of MDD on hypertension. Inverse variance weighted method (IVW), weighted median method (WM), and MR-Egger regression were used for MR analyses. The MR-Egger_intercept test and Cochran's Q statistic were used to determine the pleiotropy and the heterogeneity, respectively.
    Results: A total of 28 independent and effective MDD genetic instrumental variables were extracted from the hypertension GWAS summary statistics. Pleiotropy analysis suggested no significant pleiotropic variant among the 28 selected MDD genetic instrument variants in hypertension GWAS datasets. As MDD based on genetic changes increased, the risk of hypertension increased using MR-Egger (OR = 1.004436, 95%CI 0.9884666-1.020663, P = 0.5932928), WM (OR = 1.000499, 95%CI 1.0000188-1.000980, P = 0.0416871), and IVW (OR = 1.000573, 95%CI 1.0000732-1.001074, P = 0.0246392). Our results were robust, with no obvious bias based on investigating the single MDD SNP on hypertension.
    Conclusions: Our result suggested a causal associated between genetically increased MDD and increased hypertension risk in European population.
    MeSH term(s) Humans ; Depressive Disorder, Major/epidemiology ; Depressive Disorder, Major/genetics ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Hypertension/epidemiology ; Hypertension/genetics ; Nonoxynol
    Chemical Substances Nonoxynol (26027-38-3)
    Language English
    Publishing date 2024-03-29
    Publishing country Netherlands
    Document type Meta-Analysis ; Journal Article
    ZDB-ID 135449-8
    ISSN 1573-2517 ; 0165-0327
    ISSN (online) 1573-2517
    ISSN 0165-0327
    DOI 10.1016/j.jad.2024.03.144
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Integration of Artificial Neural Network Modeling and Hyperspectral Data Preprocessing for Discrimination of Colla Corii Asini Adulteration

    Wang, Huihui / Tao, Xueheng / Zhang, Xu / Tan, Mingqian

    Journal of food quality, 2018:3487985

    2018  

    Abstract: The study of hyperspectral imaging in tandem with spectral preprocessing and neural network techniques was conducted to realize Colla Corii Asini (CCA, E’jiao) adulteration discrimination. CCA was adulterated with pig skin gelatin (PSG) in the range of 5– ...

    Abstract The study of hyperspectral imaging in tandem with spectral preprocessing and neural network techniques was conducted to realize Colla Corii Asini (CCA, E’jiao) adulteration discrimination. CCA was adulterated with pig skin gelatin (PSG) in the range of 5–95% (w/w) at 5% increments. Three methods were used to pretreat the original spectra, which are multiplicative scatter correction (MSC), Savitzky-Golay (SG) smoothing, and the combination of MSC and SG (MSC-SG). SPA was employed to select the characteristic wavelengths (CWs) to reduce the high dimension. Colour and texture features of CWs were extracted as input of prediction model. Two kinds of artificial neural network (ANN) with three spectral preprocessing methods were applied to establish the prediction models. The prediction model of generalized regression neural network (GRNN) in tandem with the MSC-SG preprocessed method presented satisfactory performance with the correct classification rate value of 92.5%. The results illustrated that the integration of preprocessing methods, hyperspectral imaging features, and ANN modeling had a great potential and feasibility for CCA adulteration discrimination.
    Language English
    Document type Article
    Database Repository for Life Sciences

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  7. Article ; Online: Laparoscopic and Robotic-Assisted Extended Pelvic Lymph Node Dissection for Invasive Bladder Cancer: A Review.

    Fu, Weijun / Zhang, Xu

    Bladder (San Francisco, Calif.)

    2023  Volume 10, Page(s) e21200004

    Abstract: Minimally invasive surgical techniques, including laparoscopic and robotic-assisted radical cystectomy (RC), are emerging as the preferred treatment options for invasive bladder cancer. Mounting evidence has demonstrated that laparoscopic and robotic- ... ...

    Abstract Minimally invasive surgical techniques, including laparoscopic and robotic-assisted radical cystectomy (RC), are emerging as the preferred treatment options for invasive bladder cancer. Mounting evidence has demonstrated that laparoscopic and robotic-assisted RC with extended pelvic lymph node dissection (PLND) is a viable alternative for managing invasive bladder cancer. In this review, we summarized recent advances and critically assessed the minimally invasive approaches and risk factors associated with extended PLND in patients undergoing laparoscopic or robotic-assisted RC. The findings indicated that laparoscopic and robotic-assisted PLND, employing either a standard or extended approach, is technically feasible and offers benefits such as minimal invasiveness, superior visualization, reduced blood loss, and expedited recovery. The risk factors involved in the laparoscopic extended PLND are minimal. Clinically, laparoscopic and robotic-assisted extended PLND is significantly advantageous in that it sticks to the principles of open surgery and respects anatomical boundaries. Nevertheless, laparoscopic and robotic-assisted extended PLND is technically challenging and necessitate extended operation time. Furthermore, large-scale, prospective, multicenter trials are warranted to validate the long-term efficacy of laparoscopic and robotic-assisted extended PLND in terms of disease-specific survival.
    Language English
    Publishing date 2023-05-31
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2327-2120
    ISSN (online) 2327-2120
    DOI 10.14440/bladder.2023.849
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Muscle function around the hip after operation for Fibrous Dysplasia of Proximal Femur with Varus Deformity.

    Lang, Zhigang / Zhang, Xu

    Pakistan journal of medical sciences

    2023  Volume 39, Issue 5, Page(s) 1482–1487

    Abstract: Objectives: This study aimed to analyse the clinical effect of surgery for patients with fibrous dysplasia (FD) of the proximal femur with varus deformity, detect the muscle function around the hip joint.: Methods: This is a retrospective study. A ... ...

    Abstract Objectives: This study aimed to analyse the clinical effect of surgery for patients with fibrous dysplasia (FD) of the proximal femur with varus deformity, detect the muscle function around the hip joint.
    Methods: This is a retrospective study. A total of 20 patients who underwent operation for FD of the proximal femur with varus deformity at West China Hospital, from January 2018 to October 2022 were included in this study. The peak torque (PT) of muscle strength during abduction, adduction, flexion and extension of bilateral hip joints was measured by an isokinetic muscle test and training system associated with the comparison of bilateral hip joints, to evaluate the function of muscles around the hip joint after operation.
    Results: The difference between the length of the affected limb and the healthy side was 1~2 cm in seven cases and <1 cm in 13 cases. The force line showed no abnormality in 15 affected limbs, which deviated from the center of the knee joint by 3-5 mm in five cases. The average PT during abduction of hip joints on the affected side of 20 patients was significantly lower than that on the healthy side, which was also reduced evidently during adduction and flexion of hip joints on the affected side compared with that on the healthy side.
    Conclusions: After effective recovery of the force line and length of the affected limb in patients with FD of the proximal femur with deformity, functional abnormalities of muscles are still present to a certain extent.
    Language English
    Publishing date 2023-09-07
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 2032827-8
    ISSN 1681-715X ; 1682-024X ; 1017-4699
    ISSN (online) 1681-715X
    ISSN 1682-024X ; 1017-4699
    DOI 10.12669/pjms.39.5.6987
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A fragmented neural network ensemble method and its application to image classification.

    Zhang, Xu / Liu, Shuai / Wang, Xueli / Li, Yumei

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 2291

    Abstract: In recent years, deep neural networks have evolved rapidly in engineering technology, with models becoming larger and deeper. However, for most companies, developing large models is extremely costly and highly risky. Researchers usually focus on the ... ...

    Abstract In recent years, deep neural networks have evolved rapidly in engineering technology, with models becoming larger and deeper. However, for most companies, developing large models is extremely costly and highly risky. Researchers usually focus on the performance of the model, neglecting its cost and accessibility. In fact, most regular business scenarios do not require high-level AI. A simple and inexpensive modeling method for fulfilling certain demands for practical applications of AI is needed. In this paper, a Fragmented neural network method is proposed. Inspired by the random forest algorithm, both the samples and features are randomly sampled on image data. Images are randomly split into smaller pieces. Weak neural networks are trained using these fragmented images, and many weak neural networks are then ensembled to build a strong neural network by voting. In this way, sufficient accuracy is achieved while reducing the complexity and data volume of each base learner, enabling mass production through parallel and distributed computing. By conducting experiments on the MNIST and CIFAR10 datasets, we build a model pool using FNN, CNN, DenseNet, and ResNet as the basic network structure. We find that the accuracy of the ensemble weak network is significantly higher than that of each base learner. Meanwhile, the accuracy of the ensemble network is highly dependent on the performance of each base learner. The accuracy of the ensemble network is comparable to or even exceeds that of the full model and has better robustness. Unlike other similar studies, we do not pursue SOTA models. Instead, we achieved results close to the full model with a smaller number of parameters and amount of data.
    Language English
    Publishing date 2024-01-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-52945-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: An "Observable" horseshoe map.

    Zhang, Xu / Wang, Yukai / Chen, Guanrong

    Chaos (Woodbury, N.Y.)

    2024  Volume 34, Issue 2

    Abstract: In this article, a family of diffeomorphisms with growing horseshoes contained in global attracting regions is presented, where the dimension of the unstable direction can be any fixed integer and a growing horseshoe means that the number of the folds of ...

    Abstract In this article, a family of diffeomorphisms with growing horseshoes contained in global attracting regions is presented, where the dimension of the unstable direction can be any fixed integer and a growing horseshoe means that the number of the folds of the horseshoe is increasing as a parameter is varied. Moreover, it is demonstrated that the horseshoe-like attractors are observable for certain parameters.
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1472677-4
    ISSN 1089-7682 ; 1054-1500
    ISSN (online) 1089-7682
    ISSN 1054-1500
    DOI 10.1063/5.0188700
    Database MEDical Literature Analysis and Retrieval System OnLINE

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