In this paper,we establish an ShIhAhSvIvW model to investigate the impact of media communication on the transmission mechanism of dengue fever.Firstly,the basic reproduction number R0of the model is obtained by using ...In this paper,we establish an ShIhAhSvIvW model to investigate the impact of media communication on the transmission mechanism of dengue fever.Firstly,the basic reproduction number R0of the model is obtained by using the method of the next generation matrix.It shows that disease-free equilibrium is globally asymptotically stable when R0<1;the disease is uniformly persistent when R_(0)>1.Secondly,we select dengue fever case data from Guangdong Province from 2006 to 2019 for numerical simulations and predict its development trend.Finally,we conduct parameter sensitivity analysis,and the results show that increasing media publicity can to some extent reduce the number of patients.展开更多
We comment on the article by Jia et al,in the World Journal of Gastrointestinal Surgery.We focus mainly on the factors that impair gastric motility and cause gastric retention in the pre-operative setting of endoscopi...We comment on the article by Jia et al,in the World Journal of Gastrointestinal Surgery.We focus mainly on the factors that impair gastric motility and cause gastric retention in the pre-operative setting of endoscopic retrograde cholan-giopancreatography(ERCP).ERCP is a complex endoscopic therapeutic proce-dure,which demands great skill from the endoscopist but also has recognized complications.Gastric retention impairs the endoscopist’s visibility but also increases the risk of complications,such as aspiration pneumonia.Therefore,identifying the factors that predispose to gastric retention alerts the endoscopists of the possible risks and enables them to take evasive action.The authors in the current study by Jia et al developed and validated a predictive model,which in-corporates five different factors,i.e.,gender,primary disease,jaundice,opioid use,and gastrointestinal obstruction,which were found to influence gastric retention.This model was shown to have a high predictive value to accurately identify pa-tients at risk for gastric retention before a therapeutic ERCP.展开更多
Accurately predicting fluid forces acting on the sur-face of a structure is crucial in engineering design.However,this task becomes particularly challenging in turbulent flow,due to the complex and irregular changes i...Accurately predicting fluid forces acting on the sur-face of a structure is crucial in engineering design.However,this task becomes particularly challenging in turbulent flow,due to the complex and irregular changes in the flow field.In this study,we propose a novel deep learning method,named mapping net-work-coordinated stacked gated recurrent units(MSU),for pre-dicting pressure on a circular cylinder from velocity data.Specifi-cally,our coordinated learning strategy is designed to extract the most critical velocity point for prediction,a process that has not been explored before.In our experiments,MSU extracts one point from a velocity field containing 121 points and utilizes this point to accurately predict 100 pressure points on the cylinder.This method significantly reduces the workload of data measure-ment in practical engineering applications.Our experimental results demonstrate that MSU predictions are highly similar to the real turbulent data in both spatio-temporal and individual aspects.Furthermore,the comparison results show that MSU predicts more precise results,even outperforming models that use all velocity field points.Compared with state-of-the-art methods,MSU has an average improvement of more than 45%in various indicators such as root mean square error(RMSE).Through comprehensive and authoritative physical verification,we estab-lished that MSU’s prediction results closely align with pressure field data obtained in real turbulence fields.This confirmation underscores the considerable potential of MSU for practical applications in real engineering scenarios.The code is available at https://github.com/zhangzm0128/MSU.展开更多
AIM： To investigate the correlation of 18F-fluorodeoxy- glucose （18F-FDG） positron emission tomography （PET） with clinical features and the prediction of treatment response. METHODS： A total of 83 hepatocellular...AIM： To investigate the correlation of 18F-fluorodeoxy- glucose （18F-FDG） positron emission tomography （PET） with clinical features and the prediction of treatment response. METHODS： A total of 83 hepatocellular carcinoma （HCC） patients undergoing 18F-FDG PET before transar- terial chemolipiodolization with systemic chemo-infusion between October, 2006 and May, 2009 were retrospec-tively enrolled. The patients included 68 men and 15 women （mean age, 60 ~ 10.7 years）. The effect of 18F- FDG-monitored PET uptake on clinical features and on the evaluated treatment response was ascertained with modified Response Evaluation Criteria in Solid Tumors. The PET parameters of maximal standardized uptake value of the tumor （Tsuvmax）, the ratio of the tumor maximal standardized uptake value （SUV） to the liver maximal SUV （Tsuvmax/Lsuwax） and the ratio of tumor maximal SUV to the liver mean SUV （msuvmax/LSUVrnean） were tested as predictive factors. RESULTS： Among the 3 SUV parameters, the TSUV- =maxdLsuvmean ratio （cutoff value of 1.90） was significantly associated with tumor burden including tumor size, tu- mor number, α-fetoprotein levels and tumor stage （P 〈 0.001, P = 0.008, P = 0.011, P 〈 0.001, respectively）. The objective response rates in patients with a high SUV ratio （≥ 1.90） were significantly better than those with a low SUV ratio （〈 1.90） （P = 0.020）. The overall survival rates of patients exhibiting a low Tsuvmax/Lsu- Vmean ratio （〈 1.90） and those with a high SUV ratio （≥1.90） was 38.2 and 10.3 mo, respectively （P 〈 0.01）. However, the time to progression showed no significant difference between the groups （P = 0.15）. CONCLUSION： 18F-FDG PET can be an important predictor of HCC treatment. In particular, the Tsuvmax/ Lsuwean ratio （cutoff value of 1.90） can provide useful information in treatment prognosis for HCC patients treated with Iocoregional therapy.展开更多
In order to construct the trusted network and realize the trust of network behavior,a new multi-dimensional behavior measurement model based on prediction and control is presented.By using behavior predictive equation...In order to construct the trusted network and realize the trust of network behavior,a new multi-dimensional behavior measurement model based on prediction and control is presented.By using behavior predictive equation,individual similarity function,group similarity function,direct trust assessment function,and generalized predictive control,this model can guarantee the trust of an end user and users in its network.Compared with traditional measurement model,the model considers different characteristics of various networks.The trusted measurement policies established according to different network environments have better adaptability.By constructing trusted group,the threats to trusted group will be reduced greatly.Utilizing trusted group to restrict individuals in network can ensure the fault tolerance of trustworthiness of trusted individuals and group.The simulation shows that this scheme can support behavior measurement more efficiently than traditional ones and the model resists viruses and Trojans more efficiently than older ones.展开更多
文摘目的:探讨多种机器学习模型预测机器人辅助肾部分切除术(robot-assisted partial nephrectomy,RAPN)后肾功能减退的效能,为临床风险分层提供依据。方法:回顾性纳入2019年1月至2023年12月重庆医科大学附属第一医院泌尿外科733例肾细胞癌(renal cell carcinoma,RCC)行RAPN患者的临床数据,整合人口学特征、实验室指标及围手术期参数,构建7种机器学习模型,采用Shapley加性解释(Shapley additive explanations,SHAP)方法解析关键预测因子,并通过受试者工作特征曲线下面积(receiver operating characteristic curve area under the curve,ROC-AUC)评估模型性能。结果:随机森林模型预测效能最优(AUC=0.84)。SHAP分析显示,中性粒细胞/淋巴细胞比值、肿瘤直径、凝血酶原时间国际标准化比值、白细胞计数及术中出血量等因素对术后肾功能减退有明显影响。结论:本研究为临床提供了一种潜在的预测工具,可帮助识别高风险患者并优化术后管理策略。
基金Supported by the Natural Science Basic Research Plan in Shaanxi Province of China(2022JM-023)。
文摘In this paper,we establish an ShIhAhSvIvW model to investigate the impact of media communication on the transmission mechanism of dengue fever.Firstly,the basic reproduction number R0of the model is obtained by using the method of the next generation matrix.It shows that disease-free equilibrium is globally asymptotically stable when R0<1;the disease is uniformly persistent when R_(0)>1.Secondly,we select dengue fever case data from Guangdong Province from 2006 to 2019 for numerical simulations and predict its development trend.Finally,we conduct parameter sensitivity analysis,and the results show that increasing media publicity can to some extent reduce the number of patients.
文摘We comment on the article by Jia et al,in the World Journal of Gastrointestinal Surgery.We focus mainly on the factors that impair gastric motility and cause gastric retention in the pre-operative setting of endoscopic retrograde cholan-giopancreatography(ERCP).ERCP is a complex endoscopic therapeutic proce-dure,which demands great skill from the endoscopist but also has recognized complications.Gastric retention impairs the endoscopist’s visibility but also increases the risk of complications,such as aspiration pneumonia.Therefore,identifying the factors that predispose to gastric retention alerts the endoscopists of the possible risks and enables them to take evasive action.The authors in the current study by Jia et al developed and validated a predictive model,which in-corporates five different factors,i.e.,gender,primary disease,jaundice,opioid use,and gastrointestinal obstruction,which were found to influence gastric retention.This model was shown to have a high predictive value to accurately identify pa-tients at risk for gastric retention before a therapeutic ERCP.
基金supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI(JP22H03643)Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)(JPMJSP2145)+2 种基金JST Through the Establishment of University Fellowships Towards the Creation of Science Technology Innovation(JPMJFS2115)the National Natural Science Foundation of China(52078382)the State Key Laboratory of Disaster Reduction in Civil Engineering(CE19-A-01)。
文摘Accurately predicting fluid forces acting on the sur-face of a structure is crucial in engineering design.However,this task becomes particularly challenging in turbulent flow,due to the complex and irregular changes in the flow field.In this study,we propose a novel deep learning method,named mapping net-work-coordinated stacked gated recurrent units(MSU),for pre-dicting pressure on a circular cylinder from velocity data.Specifi-cally,our coordinated learning strategy is designed to extract the most critical velocity point for prediction,a process that has not been explored before.In our experiments,MSU extracts one point from a velocity field containing 121 points and utilizes this point to accurately predict 100 pressure points on the cylinder.This method significantly reduces the workload of data measure-ment in practical engineering applications.Our experimental results demonstrate that MSU predictions are highly similar to the real turbulent data in both spatio-temporal and individual aspects.Furthermore,the comparison results show that MSU predicts more precise results,even outperforming models that use all velocity field points.Compared with state-of-the-art methods,MSU has an average improvement of more than 45%in various indicators such as root mean square error(RMSE).Through comprehensive and authoritative physical verification,we estab-lished that MSU’s prediction results closely align with pressure field data obtained in real turbulence fields.This confirmation underscores the considerable potential of MSU for practical applications in real engineering scenarios.The code is available at https://github.com/zhangzm0128/MSU.
基金Supported by National R and D Program grant for cancer control,Ministry of Health,Welfare and Family Affairs,South Korea,No. R0620390-1
文摘AIM： To investigate the correlation of 18F-fluorodeoxy- glucose （18F-FDG） positron emission tomography （PET） with clinical features and the prediction of treatment response. METHODS： A total of 83 hepatocellular carcinoma （HCC） patients undergoing 18F-FDG PET before transar- terial chemolipiodolization with systemic chemo-infusion between October, 2006 and May, 2009 were retrospec-tively enrolled. The patients included 68 men and 15 women （mean age, 60 ~ 10.7 years）. The effect of 18F- FDG-monitored PET uptake on clinical features and on the evaluated treatment response was ascertained with modified Response Evaluation Criteria in Solid Tumors. The PET parameters of maximal standardized uptake value of the tumor （Tsuvmax）, the ratio of the tumor maximal standardized uptake value （SUV） to the liver maximal SUV （Tsuvmax/Lsuwax） and the ratio of tumor maximal SUV to the liver mean SUV （msuvmax/LSUVrnean） were tested as predictive factors. RESULTS： Among the 3 SUV parameters, the TSUV- =maxdLsuvmean ratio （cutoff value of 1.90） was significantly associated with tumor burden including tumor size, tu- mor number, α-fetoprotein levels and tumor stage （P 〈 0.001, P = 0.008, P = 0.011, P 〈 0.001, respectively）. The objective response rates in patients with a high SUV ratio （≥ 1.90） were significantly better than those with a low SUV ratio （〈 1.90） （P = 0.020）. The overall survival rates of patients exhibiting a low Tsuvmax/Lsu- Vmean ratio （〈 1.90） and those with a high SUV ratio （≥1.90） was 38.2 and 10.3 mo, respectively （P 〈 0.01）. However, the time to progression showed no significant difference between the groups （P = 0.15）. CONCLUSION： 18F-FDG PET can be an important predictor of HCC treatment. In particular, the Tsuvmax/ Lsuwean ratio （cutoff value of 1.90） can provide useful information in treatment prognosis for HCC patients treated with Iocoregional therapy.
基金This work was supported by the National Basic Research Pro-gram of China under Crant No.2007CB311100 Funds of Key Lab of Fujlan Province University Network Security and Cryp- toll1009+3 种基金 the National Science Foundation for Young Scholars of China under Crant No.61001091 Beijing Nature Science Foundation under Crant No. 4122012 ＂Next-Generation Broad-band Wireless Mobile Communication Network＂ National Sci-ence and Technology Major Special Issue Funding under Grant No. 2012ZX03002003 Funding Program for Academic tturmn Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality of Chi-na.
文摘In order to construct the trusted network and realize the trust of network behavior,a new multi-dimensional behavior measurement model based on prediction and control is presented.By using behavior predictive equation,individual similarity function,group similarity function,direct trust assessment function,and generalized predictive control,this model can guarantee the trust of an end user and users in its network.Compared with traditional measurement model,the model considers different characteristics of various networks.The trusted measurement policies established according to different network environments have better adaptability.By constructing trusted group,the threats to trusted group will be reduced greatly.Utilizing trusted group to restrict individuals in network can ensure the fault tolerance of trustworthiness of trusted individuals and group.The simulation shows that this scheme can support behavior measurement more efficiently than traditional ones and the model resists viruses and Trojans more efficiently than older ones.
