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  • SAGE Publications  (13)
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  • SAGE Publications  (13)
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  • 1
    Online Resource
    Online Resource
    Establishment of prognostic nomogram for high-grade parotid gland mucoepidermoid carcinoma based on the SEER database
    SAGE Publications ; 2022
    In:  Ear, Nose & Throat Journal
    Details
    In: Ear, Nose & Throat Journal, SAGE Publications
    Abstract: Purpose: We aim to investigate the clinical factors that affect the prognosis of overall survival (OS) for patients with high-grade parotid gland mucoepidermoid carcinoma (high-grade pMEC) and construct a nomogram for prognosis prediction. Subjects and method: Totally, 519 patients diagnosed as high-grade pMEC from the surveillance, epidemiology, and end results (SEER) database between 2004 and 2015 were reviewed. Independent prognostic factors for OS were identified by univariate and multivariate Cox regression analyses. Nomogram was generated to predict the individual’s 3- and 5- year OS rates by using R software. Prediction ability was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC) and model calibration was evaluated through calibration plots. Decision curve analysis (DCA) was used to assess the clinical usefulness and net benefit. Results: The results of univariate analysis demonstrated that age, AJCC stage, T stage, N stage, M stage, extraparenchymal lesions, regional lymph nodes status, lymph node dissection status, radiotherapy, chemotherapy, and surgery were significantly correlated with the OS (P 〈 0.05). Multivariate Cox regression analyses showed that older age at diagnosis, advanced AJCC stage, and positive regional lymph nodes were independent risk factors for OS. In addition, the present study revealed that radiotherapy and surgery were independent protective factors for OS (P 〈 0.05). The nomograms showed accurate prognostic ability that individually predict 3-years and 5-years overall survival (OS) rates based on age, AJCC stage, regional lymph nodes status, radiotherapy, and surgery. The area under the receiver operating characteristic (ROC) curve (AUC) of the nomogram used to predict the 3-year and 5-year overall survival rate were 0.779 and 0.793, indicating that the model had a good predictive power for the overall survival in high-grade pMEC patient. Conclusions: Using the SEER database, we performed univariate and multivariate analyses to determine independent prognostic factors in high-grade pMEC patients. Subsequently, we constructed and validated a prognostic nomogram to predict 3-and 5-year OS rates based on the SEER database and can assist clinicians to intuitively evaluate prognosis of high-grade pMEC patients.
    Type of Medium: Online Resource
    ISSN: 0145-5613 , 1942-7522
    URL: Article
    DOI: 10.1177/01455613221089994
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2067528-8
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  • 2
    Online Resource
    Online Resource
    Lane marking detection and classification with combined deep neural network for driver assistance
    SAGE Publications ; 2019
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Vol. 233, No. 5 ( 2019-04), p. 1259-1268
    Details
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications, Vol. 233, No. 5 ( 2019-04), p. 1259-1268
    Abstract: An efficient approach for lane marking detection and classification by the combination of convolution neural network and recurrent neural network is proposed in this paper. First, convolution neural network is trained for lane marking features extraction, and then these convolution neural network features of continuous frames are transferred to recurrent neural network model for lane boundary detection and classification in the time domain. At last, a lane boundary fitting method based on dynamic programming is proposed to improve the lane detection accuracy and robustness. The method presented generates satisfactory results of lane detection and type classification under various traffic conditions according to the experimental results, which show that the approach provided in this paper outperforms traditional methods and the total lane markings classification reached 95.21% accuracy.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    URL: Article
    DOI: 10.1177/0954407018768659
    RVK:
    ZO 4200
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2032754-7
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  • 3
    Online Resource
    Online Resource
    Novel robust stability condition for uncertain neutral systems with mixed time-varying delays
    SAGE Publications ; 2017
    In:  Advances in Mechanical Engineering Vol. 9, No. 10 ( 2017-10), p. 168781401772379-
    Details
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 9, No. 10 ( 2017-10), p. 168781401772379-
    Type of Medium: Online Resource
    ISSN: 1687-8140 , 1687-8140
    URL: Article
    DOI: 10.1177/1687814017723793
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2501620-9
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  • 4
    Online Resource
    Online Resource
    New feedforward filtered-x least mean square algorithm with variable step size for active vibration control
    SAGE Publications ; 2019
    In:  Journal of Low Frequency Noise, Vibration and Active Control Vol. 38, No. 1 ( 2019-03), p. 187-198
    Details
    In: Journal of Low Frequency Noise, Vibration and Active Control, SAGE Publications, Vol. 38, No. 1 ( 2019-03), p. 187-198
    Abstract: The step size of least mean square (LMS) algorithm is significant for its performance. To be specific, small step size can get small excess mean square error but results in slow convergence. However, large step size may cause instability. Many variable step size least mean square (VSSLMS) algorithms have been developed to enhance the control performance. In this paper, a new VSSLMS was proposed based on Kwong’s algorithm to evaluate the robustness. The approximate analysis of dynamic and steady-state performance of this developed VSSLMS algorithm was given. An active vibration control system of piezoelectric cantilever beam was established to verify the performance of the VSSLMS algorithms. By comparing with the current VSSLMS algorithms, the proposed method has better performance in active vibration control applications.
    Type of Medium: Online Resource
    ISSN: 1461-3484 , 2048-4046
    URL: Article
    DOI: 10.1177/1461348418812326
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2025887-2
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  • 5
    Online Resource
    Online Resource
    Leaf-based species classification of hybrid cherry tomato plants by using hyperspectral imaging
    SAGE Publications ; 2023
    In:  Journal of Near Infrared Spectroscopy Vol. 31, No. 1 ( 2023-02), p. 41-51
    Details
    In: Journal of Near Infrared Spectroscopy, SAGE Publications, Vol. 31, No. 1 ( 2023-02), p. 41-51
    Abstract: Approaches based on near infrared hyperspectral imaging (NIR-HSI) technology combined with machine learning have been developed to classify the leaves of hybrid cherry tomatoes and then identify the species of hybrid cherry tomato plants. The near infrared (NIR) hyperspectral images of 400 cherry tomato leaves (100 per species) were collected in the wavelength range of 900–1700 nm. Machine learning algorithms such as linear discriminant analysis (LDA), random forest (RF), and support vector machine (SVM) were employed to construct leaf classification models with the hyperspectral data preprocessed by Savitzky-Golay (SG) smoothing filter, first derivative (first Der) and standard normal variate (SNV). Principle of Component Analysis (PCA) was also used to reduce the data dimension and extract spectral features. It is revealed that the LDA model reaches the highest classification accuracy among the three machine learning algorithms and SNV can lead to higher improvement in model accuracy than other preprocessing methods of SG smoothing and first Der. Analysis based on PCA spectral feature extraction demonstrates that differences occur in internal material content in the leaves of cherry tomato plants with different species, which renders the models being able to distinguish between the species. Another important work was performed to reveal the different effects of the mesophyll and vein regions (VR) on the accuracy of the leaf classification model. It is demonstrated that the classification accuracy is improved by a value of 0.033 or 0.042 when mesophyll substitutes vein or whole leaf as regions of interest (ROI) to extract reflectance spectra for modeling. As a result, the accuracy of the training and test set respectively reached a high value of 0.998 and 0.973 for the LDA classification model combined with the SNV preprocessing method. The results propose that the use of mesophyll region (MR) as ROI can improve the performance of the leaf classification model, which provides a new strategy for efficient and non-destructive classification of different hybrid cherry tomato plants.
    Type of Medium: Online Resource
    ISSN: 0967-0335 , 1751-6552
    URL: Article
    DOI: 10.1177/09670335221148593
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2021280-X
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  • 6
    Online Resource
    Online Resource
    Smad7 attenuates TGF-β-mediated aging-related hypofunction of submandibular glands
    SAGE Publications ; 2021
    In:  Experimental Biology and Medicine Vol. 246, No. 11 ( 2021-06), p. 1269-1273
    Details
    In: Experimental Biology and Medicine, SAGE Publications, Vol. 246, No. 11 ( 2021-06), p. 1269-1273
    Abstract: Submandibular glands have essential functions in taste, mastication, swallowing, and digestion. Submandibular gland hypofunction is prevalent in the elderly, impairing the patients’ quality of life. Current clinical treatment strategies have not decelerated or reversed the pathological process of submandibular gland hypofunction. Therefore, novel restoration strategies should be explored. However, studies on the mechanism of aging-related submandibular gland hypofunction remain very limited. The role of the TGF-β/Smad pathway in fibrosis has been studied in other organs. Therefore, this study aimed to elucidate the role of TGF-β/Smad signaling in the aging-related submandibular gland hypofunction. The results showed that Smad7 knockout in mice decreased the salivary flow rate. H & E, Masson trichrome, and immunohistochemistry staining of MCP-1 and α-SMA showed that Smad7 knockout in mice resulted in lymphocytic infiltration, acinar cell atrophy, and interstitial fibrosis. The Western blotting of collagen I and III also confirmed extensive fibrosis. We then found that Smad7 depletion resulted in the TGF-β-mediated fibrosis via mir-21, mir-29, and np_5318, and NFκB-driven inflammation activation. This study confirmed the inhibitory role of Smad7 in the aging-related submandibular gland hypofunction. Therefore, it provided a promising treatment target for aging-related dysfunction and sialadenitis of submandibular gland.
    Type of Medium: Online Resource
    ISSN: 1535-3702 , 1535-3699
    URL: Article
    DOI: 10.1177/1535370221993430
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2020856-X
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Osteolytic Schwannoma in an Older Patient With Lumbar Degenerative Disk Disease: A Case Report
    SAGE Publications ; 2023
    In:  HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery
    Details
    In: HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery, SAGE Publications
    Type of Medium: Online Resource
    ISSN: 1556-3316 , 1556-3324
    URL: Article
    DOI: 10.1177/15563316231200862
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2210985-7
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  • 8
    Online Resource
    Online Resource
    Efficacy and Safety of Long-Term Low-Dose Clarithromycin in Patients With Refractory Chronic Sinusitis After Endoscopic Sinus Surgery: A Prospective Clinical Trial
    SAGE Publications ; 2021
    In:  Ear, Nose & Throat Journal
    Details
    In: Ear, Nose & Throat Journal, SAGE Publications
    Abstract: To observe the efficacy and safety of postoperative long-term low-dose oral administration of clarithromycin in patients with refractory chronic rhinosinusitis (RCRS), to explore the characteristics of postoperative microbiota in the nasal cavity in patients with RCRS, and to compare the differences and changes in microbiota in the nasal cavity before and after medication. Methods: This was a prospective, self-controlled study. Eighteen patients with RCRS who had persistent symptoms after endoscopic sinus surgery and standard therapy with normal immunoglobulin E and eosinophil level were included. Low dose (250 mg, once daily) clarithromycin was orally administrated for 12 weeks. Symptom severity and endoscopic findings were evaluated before, after 4 weeks, and 12 weeks of treatment, and nasal cavity microbiota was analyzed simultaneously. Results: A total of 18 patients with RCRS were enrolled and 17 patients completed the study. Four weeks after oral administration of clarithromycin, significant improvement was observed in subjective symptoms including nasal congestion, rhinorrhea, postnasal drip, and general discomfort, as well as endoscopic findings including general surgical cavity condition, rhinedema, and rhinorrhea ( P 〈 .05). After continuous treatment to the 12th week, symptoms showed significant improvement compared with baseline, and endoscopic score showed significant improvement compared with both baseline and 4 weeks after treatment. Analysis of middle nasal meatus flora revealed a significant decrease of Streptococcus pneumoniae after 12 weeks of clarithromycin treatment ( P 〈 .05), while the richness, composition, and diversity were similar before and after treatment. Patients enrolled experienced no adverse drug reaction or allergic reaction, nor clinical significant liver function impairment observed. Conclusion: Postoperative low-dose long-term oral administration of clarithromycin in patients with RCRS can improve the clinical symptoms and facilitate the mucosal epithelialization, with good tolerance and safety. The efficacy of clarithromycin in patients with RCRS may be related to its regulatory effect on nasal cavity microbiota.
    Type of Medium: Online Resource
    ISSN: 0145-5613 , 1942-7522
    URL: Article
    DOI: 10.1177/01455613211032020
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2067528-8
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  • 9
    Online Resource
    Online Resource
    Study on the influence of sudden load at idle condition on vibration and vibration isolation performance of the engine mount system
    SAGE Publications ; 2023
    In:  Journal of Vibration and Control Vol. 29, No. 7-8 ( 2023-04), p. 1766-1776
    Details
    In: Journal of Vibration and Control, SAGE Publications, Vol. 29, No. 7-8 ( 2023-04), p. 1766-1776
    Abstract: Engine vibration is one of the main excitation sources of vehicle vibration. In order to study the problem of excessive vibration in the cabin of a light vehicle when the air conditioning is turned on at the idle speed, this study is conducted from the point of view of in-cylinder combustion caused by sudden load. The vibrations of the engine with the air conditioning on and off at the idle condition were studied experimentally. The results show that when the air conditioning is turned on at low idle speed, the cylinder pressure rise rate increases with the increase of fuel injection. In addition, the combustion pressure in the cylinder also increases, which leads to the increase of engine vibration. At the same time, a spectrum analysis is carried out in terms of the vibration signal in the maximum direction of the vibration intensity of the suspension system, and the vibration isolation rate is calculated. The results show that the vibration intensity at the second order is the largest, and the vibration isolation effect of the rear suspension is poor.
    Type of Medium: Online Resource
    ISSN: 1077-5463 , 1741-2986
    URL: Article
    DOI: 10.1177/10775463211070067
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2070247-4
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  • 10
    Online Resource
    Online Resource
    Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning
    SAGE Publications ; 2021
    In:  Structural Health Monitoring Vol. 20, No. 1 ( 2021-01), p. 118-138
    Details
    In: Structural Health Monitoring, SAGE Publications, Vol. 20, No. 1 ( 2021-01), p. 118-138
    Abstract: Gearboxes are critical transmission components in the drivetrain of wind turbine, which have a dominant failure rate and the highest downtime loss in all wind turbine subsystems. However, load variations of wind turbine gearbox are far from smooth and usually nondeterministic, which result in inconsistent data distributions. To solve the problem, a novel performance degradation assessment and prognosis method based on maximum mean discrepancy is proposed to test the difference between data distributions and extract the characteristics of multi-source working conditions data. Besides, the increase in sensors will bring more difficulties to establish prediction models in real-world scenarios due to different installation locations. In view of this, a transfer learning strategy called joint distribution adaptation is utilized to adapt data distribution between multi-sensor signals. Nevertheless, the presence of background noise of wind turbine signals restricts the applicability of these algorithms in practice. To further reduce the distribution difference, a novel criterion is proposed to evaluate and measure the data distribution difference between known and tested working conditions based on the witness function of maximum mean discrepancy. The application and superiority of proposed methodology are validated using a wind turbine gearbox life-cycle test data set. Meanwhile, model comparison and cross-verification are conducted between conventional and proposed prediction models. The results indicate that the proposed method has a better performance in performance degradation assessment for wind turbine gearbox.
    Type of Medium: Online Resource
    ISSN: 1475-9217 , 1741-3168
    URL: Article
    DOI: 10.1177/1475921720919073
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2101420-6
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