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A nomogram-based predictive model for tooth survival in Chinese patients with periodontitis: An 11-year retrospective cohort study

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JOURNAL OF CLINICAL PERIODONTOLOGY 2024年第10期51卷 1384-1394页

作者： shi, shuwen Meng, Yang Jiao, Jian shi, Dong Feng, Xianghui Meng, Huanxin Peking Univ Sch & Hosp Stomatol Dept Dent MatNMPA Key Lab Dent MatMinist Hlth Natl Ctr StomatolBeijing Key Lab Digital Stomato Natl Clin Res Ctr Oral DisNatl Engn Lab Digital & 22 Zhongguancun South Ave Beijing 100081 Peoples R China Capital Med Univ Beijing Friendship Hosp Dept Stomatol Beijing Peoples R China Qingdao Univ Dept Periodontol Affiliated Hosp Qingdao Peoples R China Peking Univ Natl Clin Res Ctr Oral Dis Natl Engn Lab Digital & Mat Technol Stomatol Dept PeriodontolNatl Ctr StomatolSch & Hosp Sto Beijing Peoples R China

Aim: To develop a nomogram-based predictive model of tooth survival by comprehensively analysing clinical and radiographic risk factors of tooth loss (TL). Materials and Methods: In this study, 3447 teeth of 131 subjects who underwent non-surgical periodontal treatment were examined retrospectively within a mean follow-up period of 11.6 years. The association of risk factors including clinical and radiographic parameters with TL was assessed using univariate and multivariate Cox regression analyses. A nomogram-based predictive model was developed, and its validation and discriminatory ability were analysed. Results: In all, 313 teeth were lost in 94 patients in this study (overall tooth loss [OTL] 9.08%;0.21 teeth/patient/year). Male, heavy smoking, molar teeth, probing depth (PD), attachment loss (AL), tooth mobility and radiographic bone loss were significantly associated with TL (p < .05). A gradient effect of tooth mobility on TL increased from degree I to III versus none (p < .0001). The area under the curve (AUC) of the model was 0.865. Calibration curve and decision curve analysis demonstrated good performance and high net benefit, respectively. Conclusions: Adopting a specific nomogram could facilitate the prediction of tooth survival and the development of tailored treatment plans in Chinese patients with advanced periodontitis.

关键词： nomogram periodontitis tooth loss

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Optimization of Resistance Performance of Semi-Small Waterplane Area Twin-Hull 34th

Optimization of Resistance Performance of Semi-Small Waterpl...

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34th International Ocean and Polar Engineering Conference, ISOPE 2024

作者： Ouyang, Xuyu Hao, Zhailiu shi, shuwen China Ship Scientific Research Center National Key Laboratory of Science and Technology on Hydrodynamics Jiangsu Wuxi China

ISBN: (纸本)9781880653784

THE wet surface area of a small waterplane area twin-hull (SWATH) is about 80% larger than that of a mono-hull with the same displacement. At the same time, large wet surface area makes the resistance performance of small waterplane area twin-hull poor at high speed. Therefore, the concept of a semi-small waterplane area twin-hull was proposed. The semi-small waterplane area twin-hull can not only reduce the wave disturbance between the demihull effectively, but also maintain good resistance performance at high speed. In this paper, the semi-small waterplane area twin-hull is modeled by parametric modeling method. Secondly, based on the approximate model, the resistance performance of semi-small waterplane area twin-hull can be predicted quickly, and the hull shape can be optimized. Finally, the optimization effect of semismall waterplane area twin-hull is verified by high precision numerical simulation method. In the case of increased displacement, the optimization effect of resistance performance reached 4.69%. © 2024 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Numerical methods

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Analysis of factors influencing the organizational capacity of Institutional Review Boards In China: a crisp-set Qualitative Comparative Analysis based on 107 cases

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BMC MEDICAL ETHICS 2023年第1期24卷 1-11页

作者： Lu, Lu shi, shuwen Liu, Bojing Liu, Chanjuan Zhejiang Normal Univ Coll Educ Jinhua 321000 Zhejiang Peoples R China Wenzhou Med Univ Inst Med Humanities Wenzhou 325000 Zhejiang Peoples R China Zhejiang Eye Hosp Outpatient Dept Hangzhou 310000 Zhejiang Peoples R China

BackgroundInstitutional Review Boards (IRBs) play a vital role in safeguarding the rights and interests of both research participants and researchers. However, China initiated the establishment of its own IRB system relatively late in comparison to international standards. Despite commendable progress, there is a pressing need to strengthen the organizational capacity building of Chinese IRBs. Hence, this study aims to analyze the key factors driving the enhancement of organizational capacity within these *** cross-sectional survey for this research was conducted from July 2020 to January 2022. Following the statistical grouping based on the "2020 China Health Statistical Yearbook", a systematic investigation of IRBs in various provinces of China was carried out. In-depth interviews and questionnaire surveys were conducted with the chairpersons and administrative executives (or secretaries) of highly cooperative IRBs. Subsequently, data were collected from 107 IRBs. Qualitative Comparative Analysis (QCA) was employed as the method to analyze the factors influencing the organizational capacity of medical ethics committees and explore the diverse combinations of these *** a singular necessary condition analysis, the variable "protection of rights and interests" emerges as a critical factor contributing to the robust construction of Institutional Review Boards Institutional Review Boards (IRBs). Conversely, the variables of "lack of member ability, absence of review process, and deficiency in the supervision mechanism" collectively constitute a sufficient condition leading to weaker IRB construction. The state analysis uncovers three interpretation modes: member ability-oriented (M1), system process-oriented mode (M2), and resource system-oriented mode (M3).ConclusionsThe results of this study are effectively explicable using the "Triangular Force" model proposed for the hypothesis of IRBs' organizational capacity, which provides a s

关键词： Institutional Review Boards Organizational capability Qualitative Comparative Analysis Influencing factors

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Hull and trim optimization of semi-planing yacht to reduce resistance based on numerical simulation and experimental verification 34th

Hull and trim optimization of semi-planing yacht to reduce r...

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34th International Ocean and Polar Engineering Conference, ISOPE 2024

作者： shi, shuwen Hao, Zhailiu Sun, Lixian Xu, Xumin China Ship Scientific Research Center National Key Laboratory of Science and Technology on Hydrodynamics Jiangsu Wuxi China Innovation Center Shanghai China

ISBN: (纸本)9781880653784

The development of yacht form trends toward more displacement and higher speed, so the optimization of such a yacht is an urgent need. In this paper, a semi-planing yacht, characterized by its small length-tobeam ratio, is chosen as the optimization target to reduce resistance based on simulation;and the optimization effect is verified through tests. The optimization process is as follows: firstly, obtaining the initial hull form through research, constraining displacement, local scales, and other arrangement-related parameters. Secondly, several local hull parameters are extracted and used to establish a parametric model based on Lackenby transformation, as well as a parametric modeling method based on local hull parameters. Thirdly, the comprehensive influence of different hull parameters on drag is analyzed based on numerical simulation. Finally, comparing the simulation and test results verifies the optimization and the accuracy of the simulation. © 2024 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Numerical models

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A Comparison of Human Reliability Analysis Methods for Silk-making Workshop 5

A Comparison of Human Reliability Analysis Methods for Silk-...

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5th International Conference on System Reliability and Safety Engineering, SRSE 2023

作者： Zhu, Yingqi Wang, Qianlin shi, shuwen Zhang, Dongsheng Being University of Chemical Technology College of Mechanical and Electrical Engineering Beijing China

ISBN: (纸本)9798350305944

The silk-making workshop is the primary production link of a tobacco factory and plays a key role in ensuring the product quality. It mainly performs the preliminary processing of tobacco leave, tobacco shred, and other products. However, various hazardous materials (e.g., tobacco, tar, nicotine and aldehydes) are involved in the silk-making process. There are many potential risk factors, such as high pressure, high temperature, radiation, noise, and so on. These factors can easily lead to fire, dust explosion, container explosion, and mechanical injury. In addition, the products have high value due to the tobacco industry particularity. Once accidents occur, it will cause huge economic losses and serious negative social effects. According to statistics, human error is the main cause of tragic accidents in the silk-making workshop. Hence it is necessary to develop the systematic and effective human reliability analysis (HRA). At present, many experts and scholars have proposed a variety of HRA methods for different research objects. But the silk-making workshop of a tobacco factory involves various types of work, including feeder, blender, aromatizer, slicer, shredder, leaf conditioner, and stem baker. There are no relevant researches on which HRA method is suitable for each type of work. Therefore, four common HRA methods are used to develop comprehensive human error identification and human reliability analysis in this paper. Based on a field investigation of the silk-making workshop of a tobacco factory, this paper provides the applicable HRA method for different types of work. By comparison, the cognitive reliability and error analysis method (CREAM) is the most widely applicable in the silk-making workshop. © 2023 IEEE.

关键词： Reliability analysis

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ship-Radiated Noise Recognition Based on Swin-Transformer

Ship-Radiated Noise Recognition Based on Swin-Transformer

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IEEE International Conference on Information Communication and Signal Processing (ICICSP)

作者： Yingjian Liu Zhengyao He Shuchang Zhang shuwen shi Bo Zhang School of Marine Science and Technology Northwestern Polytechnical University Xian P. R. China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

We propose a method for underwater object detection utilizing low frequency analysis and the recording spectrum (LOFAR) of ship-radiated noise, along with a hierarchical visual transformer improved by shifted windows. The LOFAR spectrum provides an intuitive representation of the time-frequency distribution of target signal energy, and the typical approach involves feature extraction using convolutional neural networks (CNNs). However, The limited receptive field of CNNs makes it difficult to capture global features such as color characteristics, texture features in the LOFAR spectra. Motivated by the inherent self-attention mechanism in Transformer models, we introduce the Swin Transformer model with the ability to capture global relationships. Building upon the traditional Transformer architecture, Swin Transformer incorporates the concept of feature extraction from convolutional neural networks and applies it to the task of obtaining multi-scale features of images in a hierarchical manner. By computing attention within shifted windows, it ensures that the computational complexity remains linear with respect to input image size. Moreover, employing the shifted Window approach facilitates information propagation among different windows, significantly enhancing computational efficiency and the model's ability to capture global information. Therefore, we attempted to apply Swin Transformer to the recognition and classification of LOFAR spectra. Experimental results indicate that utilizing Swin Transformer for recognition comparable performance to using CNNs.

关键词： Visualization Time-frequency analysis Computational modeling Noise Object detection Transformers Feature extraction Windows Recording Convolutional neural networks

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Research on Broadband Spherical Communication Transducer

Research on Broadband Spherical Communication Transducer

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IEEE International Conference on Information Communication and Signal Processing (ICICSP)

作者： shuwen shi Zhengyao He Zhichao Hu Minghao Fan Yingjian Liu Schcool of Marine Science and Technology Northwestern Polytechnical University Xi'an China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

This study optimized the design of the spherical transducer based on the finite element method, and studies the impedance matching method based on the all-electric equivalent circuit model of the transducer. By employing a dual-peak resonance method, an impedance matching network was constructed to enhance its broadband characteristics. Subsequently, the transducer spherical was designed and fabricated, and its electro-acoustic properties was measured in an anechoic watertank. Without matching network spherical transducer, the resonance frequency in water is 19 kHz, with a maximum transmit voltage response (TVR) of 149.2 dB and the - 3 dB bandwidth is 9.2 kHz. When the impedance matching network is designed based on measured admittance, the prototype transducer achieves a maximum TVR of 152.9 dB and the -3 dB bandwidth is 15.6 kHz, effectively improving the broadband transmit performance of the spherical transducer.

关键词： Transducers Impedance matching Prototypes Bandwidth Signal processing Resonance Broadband communication Finite element analysis Underwater acoustics Equivalent circuits

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A Comparison of Human Reliability Analysis Methods for Silk-making Workshop

A Comparison of Human Reliability Analysis Methods for Silk-...

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System Reliability and Safety Engineering (SRSE), International Conference on

作者： Yingqi Zhu Qianlin Wang shuwen shi Dongsheng Zhang College of Mechanical and Electrical Engineering Being University of Chemical Technology Beijing China

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半浸桨叶剖面的变参数水动力性能分析

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中国造船 2023年第2期64卷 115-125页

作者：常晟铭王超孙聪施书文魏豪中国船舶科学研究中心无锡214082 哈尔滨工程大学船舶工程学院哈尔滨150001

为了优化半浸桨叶剖面的设计,建立了一种半浸桨叶剖面的参数化建模方式,采用重叠网格技术和VOF自由液面捕捉技术对半浸桨叶剖面入水问题进行了数值模拟。在此基础上,通过控制半浸桨叶剖面杯型随边上、下表面的曲率和厚度,进行水动力性... 详细信息

为了优化半浸桨叶剖面的设计,建立了一种半浸桨叶剖面的参数化建模方式,采用重叠网格技术和VOF自由液面捕捉技术对半浸桨叶剖面入水问题进行了数值模拟。在此基础上,通过控制半浸桨叶剖面杯型随边上、下表面的曲率和厚度,进行水动力性能分析,绘制了半浸桨叶剖面设计图谱。分析表明,若增大半浸桨叶剖面的随边曲率或随边厚度,横向及垂向力系数会有所增大,敞水效率会降低;在下表面曲率一定的情况下,减小随边上表面曲率对半浸桨叶剖面入水过程的水动力特性有不利影响。

关键词：半浸桨参数化建模杯型随边高速入水数值模拟

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Development and international validation of logistic regression and machine-learning models for the prediction of 10-year molar loss

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JOURNAL OF CLINICAL PERIODONTOLOGY 2023年第3期50卷 348-357页

作者： Troiano, Giuseppe Nibali, Luigi Petsos, Hari Eickholz, Peter Saleh, Muhammad H. A. Santamaria, Pasquale Jian, Jao shi, shuwen Meng, Huanxin Zhurakivska, Khrystyna Wang, Hom-Lay Ravida, Andrea Univ Foggia Dept Clin & Expt Med Foggia Italy Kings Coll London Fac Dent Ctr Host Microbiome Interact Periodontol Unit London England Johann Wolfgang Goethe Univ Frankfurt am Main Ctr Dent & Oral Med Carolinum Dept Periodontol Frankfurt Germany Univ Michigan Sch Dent Dept Periodont & Oral Med Ann Arbor MI 48109 USA Peking Univ Dept Periodontol Natl Engn Lab Digital & Mat Technol Stomatol Beijing Key Lab Digital StomatolSch & Hosp Stoma Beijing Peoples R China Univ Pittsburgh Dept Periodont & Oral Med Pittsburgh PA 15260 USA

Aim: To develop and validate models based on logistic regression and artificial intelligence for prognostic prediction of molar survival in periodontally affected patients. Materials and Methods: Clinical and radiographic data from four different centres across four continents (two in Europe, one in the United States, and one in China) including 515 patients and 3157 molars were collected and used to train and test different types of machine-learning algorithms for their prognostic ability of molar loss over 10 years. The following models were trained: logistic regression, support vector machine, K-nearest neighbours, decision tree, random forest, artificial neural network, gradient boosting, and naive Bayes. In addition, different models were aggregated by means of the ensembled stacking method. The primary outcome of the study was related to the prediction of overall molar loss (MLO) in patients after active periodontal treatment. Results: The general performance in the external validation settings (aggregating three cohorts) revealed that the ensembled model, which combined neural network and logistic regression, showed the best performance among the different models for the prediction of MLO with an area under the curve (AUC) = 0.726. The neural network model showed the best AUC of 0.724 for the prediction of periodontitis-related molar loss. In addition, the ensembled model showed the best calibration performance. Conclusions: Through a multi-centre collaboration, both prognostic models for the prediction of molar loss were developed and externally validated. The ensembled model showed the best performance in terms of both discrimination and validation, and it is made freely available to clinicians for widespread use in clinical practice.

关键词： artificial intelligence furcation involvement periodontitis tooth loss

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