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  1. Article ; Online: Surgical treatment for ocular contusion: A case report.

    Ding, Jian / Wang, Teng / Yan, Zhenguo

    Asian journal of surgery

    2023  Volume 47, Issue 1, Page(s) 821–822

    MeSH term(s) Humans ; Contusions/surgery ; Contusions/complications ; Eye Injuries/complications ; Eye Injuries/surgery
    Language English
    Publishing date 2023-10-23
    Publishing country Netherlands
    Document type Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.10.058
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Improved dark channel priori single image defogging technique using image segmentation and joint filtering.

    Lu, Zhenguo / Wang, Hongbin / Wang, Mingyan / Wang, Zhiwen

    Science progress

    2024  Volume 107, Issue 1, Page(s) 368504231221407

    Abstract: Foggy images affect image analysis and measurement because of their low definition and blurred details. Despite numerous studies on haze in natural images in hazy environments, the recovery effect is not ideal for processing hazy images in sky areas. A ... ...

    Abstract Foggy images affect image analysis and measurement because of their low definition and blurred details. Despite numerous studies on haze in natural images in hazy environments, the recovery effect is not ideal for processing hazy images in sky areas. A dark channel priori technique for processing haze images with sky areas where atmospheric light values are misestimated and halo artefacts are produced, as well as an improved dark channel priori single-image defogging technique based on image segmentation and joint filtering, are proposed. First, an estimation method of the atmospheric illumination value using image segmentation is proposed to obtain the atmospheric illumination value. The probability density distribution function of the haze-grey image was constructed during image segmentation. The probability density distribution function of the grey image value, the K-means clustering technique, and the method for estimating atmospheric illumination values are combined to improve image segmentation techniques and achieve the segmentation of sky and non-sky areas in hazy images. Based on the segmentation threshold, the number of pixels in the sky and non-sky areas, as well as the normalisation results, were counted to calculate the atmospheric illumination values. Second, to address the halo artefact phenomenon, a method for optimising the image transmittance map using joint filtering is proposed. The image transmittance map was optimised by combining fast-guided filtering and weighted least-squares filtering to retain the edge information and smooth the gradient change of the internal region. Finally, gamma correction and automatic level optimisation are used to improve the brightness and contrast of the defogged images. The experimental results show that the proposed technique can effectively achieve sky segmentation. Compared to the traditional dark-channel prior technique, the proposed technique suppress halo artefacts and improve image detail recovery. Compared to other techniques, the proposed technique exhibited excellent performance in subjective and objective evaluations.
    Language English
    Publishing date 2024-02-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 128412-5
    ISSN 2047-7163 ; 0036-8504 ; 0302-1785
    ISSN (online) 2047-7163
    ISSN 0036-8504 ; 0302-1785
    DOI 10.1177/00368504231221407
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Enhancing rock and soil hazard monitoring in open-pit mining operations through ultra-short-term wind speed prediction

    Pengxiang Sun / Juan Wang / Zhenguo Yan

    Frontiers in Earth Science, Vol

    2024  Volume 11

    Abstract: Wind speed exacerbates challenges associated with rock stability, introducing factors such as heightened erosion and the possibility of particle loosening. This increased sensitivity to erosion can result in material displacement, thereby compromising ... ...

    Abstract Wind speed exacerbates challenges associated with rock stability, introducing factors such as heightened erosion and the possibility of particle loosening. This increased sensitivity to erosion can result in material displacement, thereby compromising the overall stability of rock layers within the open-pit mining site. Therefore, accurate wind speed predictions are crucial for understanding the impact on rock stability, ensuring the safety and efficiency of open-pit mining operations. While most existing studies on wind speed prediction primarily focus on making overall predictions from the entire wind speed sequence, with limited consideration for the stationarity characteristics of the sequence, This paper introduces a novel approach for effective monitoring and early warning of geotechnical hazards. Our proposed method involves dividing wind speed data into stationary and non-stationary segments using the sliding window average method within the threshold method, validated by the Augmented Dickey-Fuller test. Subsequently, we use temporal convolutional networks (TCN) with dilated causal convolution and long short-term memory to predict the stationary segment of wind speed, effectively improving prediction accuracy for this segment. For the non-stationary segment, we implement complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to reduce sequence complexity, followed by TCN with an attention mechanism (ATTENTION) to forecast wind speed one step ahead. Finally, we overlay the predictions of these two segments to obtain the final prediction. Our proposed model, tested with data from an open-pit mining area in western China, achieved promising results with an average absolute error of 0.14 knots, mean squared error of 0.05 knots2, and root mean squared error of 0.20 knots. These findings signify a significant advancement in the accuracy of short-term wind speed prediction. This advancement not only enables the rapid assessment and proactive response to imminent risks but also contributes ...
    Keywords geotechnical disaster warning ; TCN ; LSTM ; CEEMDAN ; attention mechanism ; Science ; Q
    Subject code 551
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: A rare case of gastric submucosal eminence arising from calcified fibrous tumor.

    Liu, Zhonghua / Wang, Fang / Jin, Yuhong / Qiao, Zhenguo

    Asian journal of surgery

    2023  Volume 46, Issue 11, Page(s) 5385–5386

    MeSH term(s) Humans ; Stomach ; Gastroscopy ; Neoplasms ; Stomach Neoplasms/pathology ; Gastric Mucosa/pathology
    Language English
    Publishing date 2023-08-01
    Publishing country Netherlands
    Document type Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.07.104
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  5. Article ; Online: Survival Outcome and Prognostic Factors of Primary Spinal Cord Lymphoma.

    Qianjin, Ding / Zhenguo, Cheng / Yang, Wang / Baoshun, Du / Laiguang, Sun

    Turkish neurosurgery

    2023  Volume 34, Issue 2, Page(s) 216–223

    Abstract: Aim: To identify the predictive factors associated with the survival of patients with a diagnosis of primary spinal cord lymphoma (PSCL).: Material and methods: The Surveillance, Epidemiology, and End Results (SEER) database was used in this study, ... ...

    Abstract Aim: To identify the predictive factors associated with the survival of patients with a diagnosis of primary spinal cord lymphoma (PSCL).
    Material and methods: The Surveillance, Epidemiology, and End Results (SEER) database was used in this study, which involved 254 patients with PSCL. Data on the patients' age, sex, race, pathology, Ann Arbor stage, adjuvant therapy, and year of diagnosis were collected. Univariate and multivariate Cox regression models were conducted to detect the predictive variables.
    Results: Of the 254 patients, 67 (26.4%) die from lymphoma at the time of data collection. Cancer-specific survival at 1, 3, and 5 years was 81.0%, 74.6%, and 74.1%, respectively. Diffuse large B-cell lymphoma (DLBL) was the highest prevalent histotype (n=140, 55.1%). The multivariate Cox regression models revealed that chemotherapy (hazard ratio (HR): 0.47; 95% confidence interval (CI), 0.16-0.82; p=0.040) and radiochemotherapy (HR: 0.43; 95% CI, 0.10-0.57; p=0.045) were independent predictors of favorable cancer-specific survival, whereas age - 80 years (HR: 6.51; 95% CI, 1.65-25.64; p=0.003) and DLBL (HR:1.71; 95% CI, 1.02-2.88; p=0.030) were independently associated with poor cancer-specific survival.
    Conclusion: The survival outcome of PSCL is favorable in the current treatment strategy. Chemotherapy and radiochemotherapy were predictors of favorable outcomes, whereas older age and DLBL were associated with poor prognosis.
    MeSH term(s) Humans ; Prognosis ; SEER Program ; Lymphoma, Large B-Cell, Diffuse/drug therapy ; Proportional Hazards Models ; Spinal Cord/pathology
    Language English
    Publishing date 2023-05-10
    Publishing country Turkey
    Document type Journal Article
    ZDB-ID 1203779-5
    ISSN 2651-5032 ; 1019-5149
    ISSN (online) 2651-5032
    ISSN 1019-5149
    DOI 10.5137/1019-5149.JTN.41081-22.3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Tertiary Amine-Mediated Reductions of Phosphine Oxides to Phosphines.

    Yin, Keshu / Wei, Mingjie / Wang, Zhenguo / Luo, Wenjun / Li, Le

    Organic letters

    2023  Volume 25, Issue 28, Page(s) 5236–5241

    Abstract: The reduction of phosphine oxides without the use of highly reactive reductants represents a safer and more sustainable solution for recycling of organophosphorus compounds. Herein, we disclose ... ...

    Abstract The reduction of phosphine oxides without the use of highly reactive reductants represents a safer and more sustainable solution for recycling of organophosphorus compounds. Herein, we disclose an
    Language English
    Publishing date 2023-07-10
    Publishing country United States
    Document type Journal Article
    ISSN 1523-7052
    ISSN (online) 1523-7052
    DOI 10.1021/acs.orglett.3c01690
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Efficacy of mirabegron for ureteral stones: a systematic review with meta-analysis of randomized controlled trials.

    Wang, Zhenguo / Chi, Junpeng / Liu, Yuhua / Wu, Jitao / Cui, Yuanshan / Yang, Chenchen

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1326600

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-12-20
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1326600
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  8. Article ; Online: Ameliorative Effect of Morinda Officinalis Oligosaccharides on LPS-Induced Acute Lung Injury.

    Qing, Cheng / Wu, Yanrong / Liu, Binbin / Wang, Cheng / Zeng, Zhenguo

    Chemistry & biodiversity

    2024  , Page(s) e202400506

    Abstract: Acute lung injury (ALI) is a disease characterized by extensive lung damage and rampant inflammation, with a high mortality rate and no effective treatments available. Morinda officinalis oligosaccharides (MOOs), derived from the root of the traditional ... ...

    Abstract Acute lung injury (ALI) is a disease characterized by extensive lung damage and rampant inflammation, with a high mortality rate and no effective treatments available. Morinda officinalis oligosaccharides (MOOs), derived from the root of the traditional Chinese medicinal herb Morinda officinalis, known for its immune-boosting properties, presents a novel therapeutic possibility. To date, the impact of MOOs on ALI has not been explored. Our study aimed to investigate the potential protective effects of MOOs against ALI and to uncover the underlying mechanisms through an integrated approach of network pharmacology, molecular docking, and experimental validation. We discovered that MOOs significantly mitigated the pathological damage and decreased the expression of pro-inflammatory cytokines in LPS-induced ALI in mice. Complementary in vitro studies further demonstrated that MOOs effectively attenuated the M1 polarization induced by LPS. Network pharmacology analysis identified HSP90AA1, HSP90AB1, and NF-κB as key overlapping targets within a protein-protein interaction (PPI) network. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses elucidated the biological processes and signaling pathways implicated in MOOs' therapeutic action on ALI. Subsequently, molecular docking affirmed the binding of MOOs to the active sites of these identified targets. Corroborating these findings, our in vivo and in vitro experiments consistently demonstrated that MOOs significantly inhibited the LPS-induced upregulation of HSP90 and NF-κB. Collectively, these findings suggest that MOOs confer protection against ALI through a multi-target, multi-pathway mechanism, offering a promising new therapeutic strategy to mitigate this severe pulmonary condition.
    Language English
    Publishing date 2024-03-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2139001-0
    ISSN 1612-1880 ; 1612-1872
    ISSN (online) 1612-1880
    ISSN 1612-1872
    DOI 10.1002/cbdv.202400506
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Grad-MobileNet: A Gradient-Based Unsupervised Learning Method for Laser Welding Surface Defect Classification.

    Xiao, Sizhe / Liu, Zhenguo / Yan, Zhihong / Wang, Mingquan

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 9

    Abstract: Deep learning technology has advanced rapidly and has started to be applied for the detection of welding defects. In the manufacturing process of power batteries for new energy vehicles, welding defects may occur due to the high directivity, convergence, ...

    Abstract Deep learning technology has advanced rapidly and has started to be applied for the detection of welding defects. In the manufacturing process of power batteries for new energy vehicles, welding defects may occur due to the high directivity, convergence, and penetration of the laser beam. The accuracy of deep learning prediction relies heavily on big data, but balanced big data of welding defects is hard to acquire at the battery production site. In this paper, the authors construct a dataset named RIAM, which consists of images captured from an industrial environment for laser welding of power battery modules. RIAM contains four types of images: Normality, Lack of fusion, Surface porosity, and Scaled surface. The characteristics of RIAM are carefully considered in the application scenarios. Moreover, this paper proposes a gradient-based unsupervised model named Grad-MobileNet, which can be trained with only a few normal images and can extract the feature gradients of the input images. Welding defects can then be classified by the gradient distribution. This model is based on MobileNetV3, which is a lightweight convolutional neural network (CNN), and achieves 99% accuracy, which is higher than the accuracy expected from supervised learning.
    Language English
    Publishing date 2023-05-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23094563
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  10. Article: Sustained silence of tiny signet ring cell carcinoma.

    Xing, Yiming / Wang, Fang / Li, Jingya / Qiao, Zhenguo

    Revista espanola de enfermedades digestivas

    2023  

    Abstract: A 47-year-old man developed recurrent bloating. First gastroscopy showed there was a fading lesion about 0.5cm in size near the anterior wall of the large curve of the junction of the gastric antrum and the edge was red, and the biopsy pathology showed ... ...

    Abstract A 47-year-old man developed recurrent bloating. First gastroscopy showed there was a fading lesion about 0.5cm in size near the anterior wall of the large curve of the junction of the gastric antrum and the edge was red, and the biopsy pathology showed signet ring cell carcinoma (SRC). Subsequently, he went to other hospital for endoscopic submucosal dissection (ESD). However, postoperative pathology indicated inflammation. After 6 months, gastroscopy showed that the lesion size was similar to that of the first time, the fading was obvious, and no redness was observed. Another year later, the lesion size was not significantly changed from these before. Weak amplification of Narrow Band Imaging (NBI) showed slight dilatation of the glandular duct, mainly fading, no redness, and the biopsy was still SRC. Finally, he received a second ESD, and the postoperative pathology was consistent with that of our results.
    Language English
    Publishing date 2023-09-14
    Publishing country Spain
    Document type Journal Article
    ZDB-ID 1070381-0
    ISSN 1130-0108 ; 0212-7512
    ISSN 1130-0108 ; 0212-7512
    DOI 10.17235/reed.2023.9891/2023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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