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Survival nomogram for patients with de novo metastatic breast cancer based on the SEER database and an external validation cohort

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Cancer Pathogenesis and Therapy 2023年第4期1卷 253-261页

作者： Lizhi Ning Yaobang Liu Yujin Hou Miaozhou Wang mingqiang shi Zhen Liu Jiuda Zhao Xinlan Liu Department of Medical Oncology General Hospital of Ningxia Medical UniversityYinchuanNingxia 750004China Department of Surgical Oncology General Hospital of Ningxia Medical UniversityYinchuanNingxia 750004China Breast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai University&Affiliated Cancer Hospital of Qinghai University XiningQinghai 810000China

Background On average,5-10%of patients are diagnosed with metastatic breast cancer(MBC)at the initial *** study aimed to develop a nomogram to predict the overall survival(OS)in these *** The nomogram was based on a retrospective study of 9435 patients with de novo MBC from the Surveillance,Epidemiology,and End Results(SEER)*** predictive accuracy and discriminative ability of the nomogram were determined using the concordance index(C-index),area under the time-dependent receiver operating characteristic curve(AUC),and calibration *** curve analysis(DCA)was employed to evaluate the benefits and advantages of our new predicting model over the 8th edition of the American Joint Committee on Cancer(AJCC)Tumor Node Metastasis(TNM)staging *** results were validated in a retrospective study of 103 patients with de novo MBC from January 2013 to June 2022 at an institution in northwest *** Multivariate analysis of the primary cohort revealed that independent factors for survival were age at diagnosis,pathological type,histological grade,T stage,N stage,molecular subtype,bone metastasis,brain metastasis,liver metastasis,lung metastasis,surgery,chemotherapy,and *** nomogram achieved a C-index of 0.688(95%confidence interval[CI],0.682-0.694)in the training cohort and 0.875(95%CI,0.816-0.934)in the validation *** AUC of the nomograms indicated good specificity and sensitivity in the training and validation cohorts,*** curves showed favorable consistency between the predicted and actual survival ***,the DCA curve produced higher net gains than by the AJCC-TNM staging ***,risk stratification can accurately identify groups of patients with de novo MBC at different risk *** The nomogram showed favorable predictive and discriminative abilities for OS in patients with de novo *** populations from different countries or prospective

关键词： De novo metastatic breast cancer Overall survival SEER Nomogram

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Efficacy and safety of first-line treatment for metastatic triple-negative breast cancer:A network meta-analysis

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Cancer Pathogenesis and Therapy 2024年第2期2卷 81-90页

作者： mingqiang shi Zhoujuan Li Guoshuang Shen Tianzhuo Wang Jinming Li Miaozhou Wang Zhen Liu Fuxing Zhao Dengfeng Ren Jiuda Zhao Breast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai University&Affiliated Cancer Hospital of Qinghai UniversityXiningQinghai 810000China

Background:Metastatic triple-negative breast cancer(mTNBC)is an aggressive histological subtype with poor *** first-line treatments are currently available for *** study conducted a network meta-analysis to compare these first-line regimens and to determine the regimen with the best ***:A systematic search of PubMed,EMBASE,the Cochrane Central Register of Controlled Bases,and mi-nutes of major conferences was ***-free survival(PFS),overall survival(OS),and objective response rate(ORR)were analyzed via network meta-analysis using the R software(R Core Team,Vienna,Austria).The efficacy of the treatment regimens was compared using hazard ratios and 95%confidence ***:A total of 29 randomized controlled trials involving 4607 patients were *** ranking was based on the surface under the cumulative ranking *** meta-analysis results showed that cisplatin combined with nab-paclitaxel or paclitaxel was superior to docetaxel plus capecitabine in terms of PFS and *** programmed death-ligand 1(PD-L1)and breast cancer susceptibility gene(BRCA)mutation-positive tumors,atezolizumab/pembrolizumab combined with nab-paclitaxel and talazoparib was superior to docetaxel plus *** significant difference was observed among the treatments in ***,diarrhea,and fatigue were common serious adverse ***:Cisplatin combined with nab-paclitaxel or paclitaxel is the preferred first-line treatment for *** PD-L1 and BRCA mutation-positive tumors,atezolizumab/pembrolizumab combined with nab-paclitaxel and talazoparib is an effective treatment option,Neutropenia,diarrhea,and fatigue are frequently occurring serious adverseevents.

关键词： Metastatictriple-negativebreast cancer First-line treatment Chemotherapy Immune-checkpoint inhibitors Poly(ADP-Ribose)polymerase inhibitors AKT inhibitor Networkmeta-analysis

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Association between high body mass index and prognosis of patients with early-stage breast cancer: A systematic review and meta-analysis

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Cancer Pathogenesis and Therapy 2023年第3期1卷 205-215页

作者： Zhoujuan Li Guoshuang Shen mingqiang shi Yonghui Zheng Yumei Guan Yuanfang Xin Miaozhou Wang Fuxing Zhao Dengfeng Ren Jiuda Zhao Breast Disease Diagnosis and Treatment Center of the Affiliated Hospital of Qinghai University and the Affiliated Cancer Hospital of Qinghai University XiningQinghai 810000China

Background:A high body mass index(BMI)can indicate overweight or obesity and is a crucial risk factor for breast cancer ***,the association between high BMI and prognosis in early-stage breast cancer(EBC)remains *** aimed to assess the effects of high BMI on the prognosis of patients with ***:The PubMed,Embase,and Cochrane Library databases and proceedings of major oncological conferences related to the effects of BMI on the prognosis of breast cancer were searched up to November *** random-effects models were used for *** hazard ratios(HRs)and 95%confidence intervals(CIs)for disease-free survival(DFS)and overall survival(OS)were extracted from the included ***:Twenty retrospective cohort studies with 33,836 patients with EBC were *** patients had worse DFS(HR:1.16,95%CI:1.05-1.27,P=0.002)and OS(HR:1.20;95%CI:1.09-1.33,Pship that overweight had negative effects on DFS(HR:1.21,95%CI:0.99-1.48,P=0.058)and OS(HR:1.39,95%CI:0.92-2.10,P=0.123)was not statistically significant in univariate *** contrast,obesity had adverse effects on DFS(HR:1.21,95%CI:1.06-1.38,P=0.004 and HR:1.14,95%CI:1.08-1.22,P<0.001)and OS(HR:1.33,95%CI:1.15-1.54,P<0.001 and HR:1.23,95%CI:1.15-1.31,P<0.001)in univariate and multivariate analyses,***:Compared with normal weight,increased body weight(overweight,obesity,and high BMI)led to worse DFS and OS in patients with *** validated,these results should be considered in the development of prevention programs.

关键词： Overweight Obesity High body mass index Early-stage breast cancer Prognosis Meta-analysis

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Dynamic event-triggered data-driven iterative learning bipartite tracking control for nonlinear MASs with prescribed performance

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Science China(Information Sciences) 2025年第1期68卷 292-305页

作者： Tao shi Wei-Wei CHE School of Mechatronic Engineering and Automation Shanghai University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University College of Information Science and Engineering Northeastern University

This article proposes a distributed dynamic event-triggered data-driven iterative learning control(DET-DDILC)scheme under a predefined performance to tackle the bipartite tracking control problem for multiagent systems(MASs). An improved dynamic linearization technique is utilized to convert the nonlinear MASs into an iterative linear data model. First,a peer-to-peer mapping function is introduced to map the constrained distributed system output homeomorphism to an unconstrained one. In addition, a DET mechanism based on a time-iteration-varying function is devised to conserve network communication resources. Based on the unconstrained transformation and the designed DET mechanism, the DET-DDILC algorithm is devised to ensure that the bipartite tracking performance of MASs can be within the preset range. Finally, the effectiveness and feasibility of the designed control scheme are demonstrated via a simulation case by a comparison.

关键词： bipartite tracking control prescribed performance event-triggered iterative learning control multiagent systems

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基于TMD的拉索振动控制研究

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交通科技 2013年第3期23卷 15-18页

作者：石明强张胤中交第二公路勘察设计研究院有限公司武汉430056

对基于安装位置不受局限的TMD阻尼器的拉索多模态耦合振动控制进行了研究,理论推导建立了张紧索-多TMD阻尼器模型、基于张紧索模型的TMD阻尼器参数优化,并进行了相关的数值计算,结果表明多个TMD阻尼器能有效地控制拉索的多模态耦合振动。

关键词：拉索 TMD阻尼器振动控制多模态耦合振动

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Penalty Function-Based Distributed Primal-Dual Algorithm for Nonconvex Optimization Problem

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 394-402页

作者： Xiasheng shi Changyin Sun IEEE the Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University the School of Artificial Intelligence Anhui University Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology Anhui University the Anhui Key Laboratory Industrial Energy-Saving and Safety Anhui University

This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the p-power transformation and penalty function techniques are introduced to reframe the nonconvex optimization problem. This ensures that the Hessian matrix of the augmented Lagrangian function becomes local positive definite by choosing appropriate control parameters. A multi-timescale primal-dual method is then devised based on the Karush-Kuhn-Tucker(KKT) point of the reformulated nonconvex problem to attain convergence. The Lyapunov theory guarantees the model's stability in the presence of an undirected and connected communication network. Finally, two nonconvex optimization problems are presented to demonstrate the efficacy of the previously developed method.

关键词： Constrained optimization Karush-Kuhn-Tucker (KKT) point nonconvex p-power transformation

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Joint Feature Encoding and Task Alignment Mechanism for Emotion-Cause Pair Extraction

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Computers, Materials & Continua 2025年第1期82卷 1069-1086页

作者： shi Li Didi Sun College of Computer and Control Engineering Northeast Forestry UniversityHarbin150040China

With the rapid expansion of social media,analyzing emotions and their causes in texts has gained significant ***-cause pair extraction enables the identification of causal relationships between emotions and their triggers within a text,facilitating a deeper understanding of expressed sentiments and their underlying *** comprehension is crucial for making informed strategic decisions in various business and societal ***,recent research approaches employing multi-task learning frameworks for modeling often face challenges such as the inability to simultaneouslymodel extracted features and their interactions,or inconsistencies in label prediction between emotion-cause pair extraction and independent assistant tasks like emotion and cause *** address these issues,this study proposes an emotion-cause pair extraction methodology that incorporates joint feature encoding and task alignment *** model consists of two primary components:First,joint feature encoding simultaneously generates features for emotion-cause pairs and clauses,enhancing feature interactions between emotion clauses,cause clauses,and emotion-cause ***,the task alignment technique is applied to reduce the labeling distance between emotion-cause pair extraction and the two assistant tasks,capturing deep semantic information interactions among *** proposed method is evaluated on a Chinese benchmark corpus using 10-fold cross-validation,assessing key performance metrics such as precision,recall,and F1 *** results demonstrate that the model achieves an F1 score of 76.05%,surpassing the state-of-the-art by 1.03%.The proposed model exhibits significant improvements in emotion-cause pair extraction(ECPE)and cause extraction(CE)compared to existing methods,validating its *** research introduces a novel approach based on joint feature encoding and task alignment mechanisms,contributing to advancements in emotion-c

关键词： Emotion-cause pair extraction interactive information enhancement joint feature encoding label consistency task alignment mechanisms

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Detection and Recognition of Spray Code Numbers on Can Surfaces Based on OCR

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Computers, Materials & Continua 2025年第1期82卷 1109-1128页

作者： Hailong Wang Junchao shi School of Computer Science Zhongyuan University of TechnologyZhengzhou450007China

A two-stage algorithm based on deep learning for the detection and recognition of can bottom spray codes and numbers is proposed to address the problems of small character areas and fast production line speeds in can bottom spray code number *** the coding number detection stage,Differentiable Binarization Network is used as the backbone network,combined with the Attention and Dilation Convolutions Path Aggregation Network feature fusion structure to enhance the model detection *** terms of text recognition,using the Scene Visual Text Recognition coding number recognition network for end-to-end training can alleviate the problem of coding recognition errors caused by image color distortion due to variations in lighting and background *** addition,model pruning and quantization are used to reduce the number ofmodel parameters to meet deployment requirements in resource-constrained environments.A comparative experiment was conducted using the dataset of tank bottom spray code numbers collected on-site,and a transfer experiment was conducted using the dataset of packaging box production *** experimental results show that the algorithm proposed in this study can effectively locate the coding of cans at different positions on the roller conveyor,and can accurately identify the coding numbers at high production line *** Hmean value of the coding number detection is 97.32%,and the accuracy of the coding number recognition is 98.21%.This verifies that the algorithm proposed in this paper has high accuracy in coding number detection and recognition.

关键词： Can coding recognition differentiable binarization network scene visual text recognition model pruning and quantification transport model

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A Novel Control Strategy Based onπ-VSG for Inter-Face Converter in Hybrid Microgrid

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Energy Engineering 2025年第2期122卷 471-492页

作者： Kai shi Dongyang Yang Department of Electrical Engineering Jiangsu UniversityZhenjiang21200China

The rapid development of new energy power generation technology and the transformation of power electronics in the core equipment of source-grid-load drives the power system towards the“double-high”development pattern of“high proportion of renewable energy”and“high proportion of power electronic equipment”.To enhance the transient performance of AC/DC hybrid microgrid(HMG)in the context of“double-high,”aπtype virtual synchronous generator(π-VSG)control strategy is applied to bidirectional interface converter(BIC)to address the issues of lacking inertia and poor disturbance immunity caused by the high penetration rate of power electronic equipment and new ***,the virtual synchronous generator mechanical motion equations and virtual capacitance equations are used to introduce the virtual inertia control equations that consider the transient performance of HMG;based on the equations,theπ-type equivalent control model of the BIC is ***,the inertia power is actively transferred through the BIC according to the load fluctuation to compensate for the system’s inertia ***,theπ-VSG control utilizes small-signal analysis to investigate howthe fundamental parameters affect the overall stability of the HMG and incorporates power step response curves to reveal the relationship between the control’s virtual parameters and transient ***,the PSCAD/EMTDC simulation results show that theπ-VSG control effectively improves the immunity of AC frequency and DC voltage in the HMG system under the load fluctuation condition,increases the stability of the HMG system and satisfies the power-sharing control objective between the AC and DC subgrids.

关键词： Hybrid AC/DC microgrid electromotive force of DC motor interface converter virtual synchronous generator control

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The shadow and gamma-ray bursts of a Schwarzschild black hole in asymptotic safety

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Communications in Theoretical Physics 2025年第2期77卷 121-131页

作者： Yuxuan shi Hongbo Cheng Department of Physics East China University of Science and Technology The Shanghai Key Laboratory of Astrophysics

The effects and rules of the dimensionless parameter ξ on neutrino annihilation v+■→e-+e+dominated gamma-ray bursts are analysed and investigated within the context of black holes in asymptotic *** also computationally model photon orbits around black holes,as photons and neutrinos have the same geodesic equations near black *** show that the black hole shadow radius decreases with increasing ξ.Calculations are made to determine the temperature of the accretion disk surrounding the black hole and the ratio ■Newtof energy deposition per unit time and compared to that of the Newtonian *** accretion disk temperature peaks at a higher temperature due to quantum gravity corrections,which increases the probability of neutrino emission from the black *** is interesting to note that larger quantum gravity effects cause the ratio value to significantly *** the neutrinoantineutrino annihilation process,the energy deposition rate is sufficient even while the energy conversion is inhibited because of quantum ***-ray bursts might originate from the corrected annihilation ***,we examine the derivative d■/dr about the star radius *** findings demonstrate that the ratio is lowered by the black hole's quantum *** neutrino pair annihilation grows weaker the more prominent the influence of quantum gravity.

关键词： quantum gravity black hole gamma-ray burst

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