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Buch ; 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 ... ...

Verfasserangabe	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.
Schlagwörter	Urology ; Minimally invasive surgery ; Minimally Invasive Surgery
Thema/Rubrik (Code)	617.460597
Sprache	Englisch
Umfang	1 online resource (X, 323 p. 854 illus., 840 illus. in color.)
Ausgabenhinweis	1st ed. 2020.
Verlag	Springer Singapore ; Imprint: Springer
Erscheinungsort	Singapore
Dokumenttyp	Buch ; Online ; E-Book
Bemerkung	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
Datenquelle	ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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

Zhang, Xu

Military Medical Research

2024 Band 11, Heft 1, Seite(n) 15

Mesh-Begriff(e)	Humans ; Male ; Glucokinase/metabolism ; Prostatic Neoplasms ; Prostate
Chemische Substanzen	ADP-dependent glucokinase (EC 2.7.1.-) ; Glucokinase (EC 2.7.1.2)
Sprache	Englisch
Erscheinungsdatum	2024-02-27
Erscheinungsland	England
Dokumenttyp	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
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Buch ; Online: Understanding Motor Unit and Muscle Alterations for Neurologic Rehabilitation

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

2020

Schlagwörter	Medicine ; Neurology & clinical neurophysiology ; Neurological injuries ; neurorehabilitation ; disability ; motor unit ; muscle
Umfang	1 electronic resource (106 pages)
Verlag	Frontiers Media SA
Dokumenttyp	Buch ; Online
Anmerkung	English ; Open Access
HBZ-ID	HT021230515
ISBN	9782889633043 ; 2889633047
Datenquelle	ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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Artikel: 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%.
Sprache	Englisch
Dokumenttyp	Artikel
Datenquelle	Fachrepositorium Lebenswissenschaften

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

Zhang, Xu / Li, Cheng

Journal of affective disorders

2024 Band 355, Seite(n) 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-Begriff(e)	Humans ; Depressive Disorder, Major/epidemiology ; Depressive Disorder, Major/genetics ; Genome-Wide Association Study ; Hypertension/epidemiology ; Hypertension/genetics ; Mendelian Randomization Analysis ; Nonoxynol
Chemische Substanzen	Nonoxynol (26027-38-3)
Sprache	Englisch
Erscheinungsdatum	2024-03-29
Erscheinungsland	Netherlands
Dokumenttyp	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
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel: 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.
Sprache	Englisch
Dokumenttyp	Artikel
Datenquelle	Fachrepositorium Lebenswissenschaften

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Artikel ; 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 Band 10, Seite(n) 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.
Sprache	Englisch
Erscheinungsdatum	2023-05-31
Erscheinungsland	United States
Dokumenttyp	Journal Article ; Review
ISSN	2327-2120
ISSN (online)	2327-2120
DOI	10.14440/bladder.2023.849
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel: 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 Band 39, Heft 5, Seite(n) 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.
Sprache	Englisch
Erscheinungsdatum	2023-09-07
Erscheinungsland	Pakistan
Dokumenttyp	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
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Jg. 1995 - 2021: Lesesall (2.OG)
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Artikel ; Online: Patterns and Influencing Factors of the Mobile Network of Traditional Creative Talents

Zhang Yaning / Zhang Xu

Redai dili, Vol 42, Iss 11, Pp 1890-

Focus on Chinese Celebrity Chefs

2022 Band 1903

Abstract: With the upgrading of the economic structure, the rapid development of cultural and creative industries characterized by knowledge and creativity has become an important driving force for regional economic growth and urban restructuring. Against this ... ...

Abstract	With the upgrading of the economic structure, the rapid development of cultural and creative industries characterized by knowledge and creativity has become an important driving force for regional economic growth and urban restructuring. Against this background, the geographic distribution of creative talent and its influencing factors have become key research topics in geography and other related disciplines. Research on the geographies of creative talent tend to focus on newly emerged economic sectors, such as movies, music, and design, whereas much less attention is paid to creative talent in traditional industries. This study explores the spatial distribution and mobility of Chinese celebrity chefs, a creative group in the traditional catering industry, to advance geographical research on creative talent. This study collects and analyzes the trajectory data of the chefs selected from the "National Famous Chefs" document, by drawing on the method of spatial analysis and social network analysis. Ridge regression analysis further reveals the key factors that shape the mobility of celebrity chefs across different cities in China. The results show that: (1) the distribution of birthplaces and current residences of Chinese celebrity chefs show a certain degree of disparity, with the former being widely distributed and relatively concentrated in underdeveloped cities, while the latter are highly concentrated in economically advanced coastal cities and core cities in the central and western regions. Both the birthplaces and the current residences of the celebrity chefs of different cuisines display a certain degree of agglomeration around the original places of these cuisines. However, some cuisines, such as Cantonese and Sichuan, show a trend of spatial diffusion in terms of the distribution of celebrity chefs, reflecting the impacts of both geocultural and market factors. (2) The spatial distribution of celebrity chefs' mobile network is characterized by a high level of imbalance, and certain differences exist ...
Schlagwörter	creative groups ; chefs ; "national famous chef" ; mobile networks ; social networks ; Geography (General) ; G1-922
Thema/Rubrik (Code)	910
Sprache	Chinesisch
Erscheinungsdatum	2022-11-01T00:00:00Z
Verlag	Editorial Committee of Tropical Geography
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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

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

Scientific reports

2024 Band 14, Heft 1, Seite(n) 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.
Sprache	Englisch
Erscheinungsdatum	2024-01-27
Erscheinungsland	England
Dokumenttyp	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
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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