目的:基于SEER数据库的宫颈癌患者影响因素分析,分析影响宫颈癌预后的相关因素,为宫颈癌患者预后恢复及治疗提供科学参考依据。方法:利用SEER数据库初步筛查宫颈癌相关数据,从中下载所有符合研究的宫颈癌患者的不同病理分型的数据,选用...目的:基于SEER数据库的宫颈癌患者影响因素分析,分析影响宫颈癌预后的相关因素,为宫颈癌患者预后恢复及治疗提供科学参考依据。方法:利用SEER数据库初步筛查宫颈癌相关数据,从中下载所有符合研究的宫颈癌患者的不同病理分型的数据,选用第八期T,N,M分期对数据的T,N,M分期进行整理,标准化,筛选,筛选条件为患者第八期T,N,M分期明确,有符合要求的观察结局,如死亡或存活。通过筛查出的患者的不同病理分型的数据,运用SPSS26.0统计软件进行统计描述,采用Kaplan-Meier法。描绘生存曲线并估计患者的生存率,死亡率。生存时间分布的组间比较采用Log-Rank检验,对分析结果中P α = 0.05,以P Objective: Study on the prognostic risk model of cervical cancer patients based on SEER database, analyze the relevant factors affecting the prognosis of cervical cancer, and provide scientific reference for the prognosis recovery and treatment of cervical cancer patients. Methods: The SEER database was used to preliminarily screen the data related to cervical cancer, download the data of different pathological types of cervical cancer patients in line with the study, and select the eighth stage T, N, M to sort out, standardize and screen the T, N and M stages of the data. The screening conditions were that the eighth stage T, N and M stages of patients were clear, and there were satisfactory observed outcomes, such as death or survival. Through the data of different pathological types of patients screened, spss26 0 statistical software for statistical description, using Kaplan Meier method. Draw the survival curve and estimate the survival rate and mortality of patients. The inter group comparison of survival time distribution adopts log rank test to conduct multi factor Cox analysis on the variables with statistical significance of P α = 0.05, P < 0.05. Result: (1) Kaplan Meier univariate analysis: different pathological stages of T stage, N stage and M stage have an impact on the survival of patients, which is statistically significant (P < 0.05), and can affect the survival of patients to varying degrees. (2) Cox multivariate analysis: T stage, N stage and M stage were independent prognostic factors affecting the survival time of patients. Conclusion: Different T, N and M pathological stages of different cervical cancer patients can affect the prognosis of cervical cancer patients to varying degrees. They have a significant impact on the mortality and survival rate of cervical cancer patients, and can provide relevant basis for the development and improvement of the treatment scheme of cervical cancer.展开更多
In the era of big data,traditional statistical inference methods are faced with great challenges.Taking the two-sample distribution test scenario of big data as an example,this paper proposes the BB-KS test based on m...In the era of big data,traditional statistical inference methods are faced with great challenges.Taking the two-sample distribution test scenario of big data as an example,this paper proposes the BB-KS test based on m out of n bootstrap for solving a single-machine memory and computing constraints.It is verified to the feasibility and effectiveness of the proposed test method through theoretical analysis and numerical simulation.The results show that the BB-KS test can improve the calculation efficiency of the test to a certain extent in the single machine scenario.展开更多
RNA contains diverse post-transcriptional modifications,and its catabolic breakdown yields numerous modified nucleosides requiring correct processing,but the mechanisms remain unknown.Here,we demonstrate that three RN...RNA contains diverse post-transcriptional modifications,and its catabolic breakdown yields numerous modified nucleosides requiring correct processing,but the mechanisms remain unknown.Here,we demonstrate that three RNA-derived modified adenosines,N6-methyladenosine(m6A),N6,N6-dimethyladenosine(m6,6A),and N6-isopentenyladenosine(i6A),are sequentially metabolized into inosine monophosphate(IMP)to mitigate their intrinsic cytotoxicity.展开更多
In this paper, using the stochastic decomposition and renewal theory we provide the direct method for analysis the departure process of single sever M/G/1 queueing system, and further discuss the departure process of ...In this paper, using the stochastic decomposition and renewal theory we provide the direct method for analysis the departure process of single sever M/G/1 queueing system, and further discuss the departure process of GI/G/1 queueing system. The method provided in this paper is new and concise, which make us see dearly the structure of the departure process of a single server queueing system.展开更多
Ménétrier disease(MD)is a rare gastric disorder characterized by hypertrophy of the gastric mucosa,resulting in giant gastric folds,excessive mucus secretion,and significant protein loss.It is most common in...Ménétrier disease(MD)is a rare gastric disorder characterized by hypertrophy of the gastric mucosa,resulting in giant gastric folds,excessive mucus secretion,and significant protein loss.It is most common in middle-aged males,although cases have also been reported in children.This condition,also known as hyperplastic hypersecretory gastropathy,primarily affects the fundus and body of the stomach,leading to protein-losing gastropathy due to increased mucosal permeability.The exact pathogenesis of MD remains unclear;however,it has been linked to excessive transforming growth factor-alpha signaling via the epidermal growth factor receptor(EGFR),which promotes mucosal hyperplasia.Clinical manifestations include epigastric pain,nausea,vomiting,anorexia,weight loss,and peripheral edema due to protein-losing enteropathy.Diagnosis is based on clinical presentation,endoscopic findings,and histopathology revealing foveolar hyperplasia and glandular atrophy.Treatment options vary from symptomatic management with proton pump inhibitors and nutritional support to monoclonal antibodies targeting EGFR(e.g.,cetuximab)in severe cases.In refractory situations,gastrectomy may be required.This review highlights the current understanding,diagnostic approaches,and therapeutic strategies for MD.展开更多
文摘目的:基于SEER数据库的宫颈癌患者影响因素分析,分析影响宫颈癌预后的相关因素,为宫颈癌患者预后恢复及治疗提供科学参考依据。方法:利用SEER数据库初步筛查宫颈癌相关数据,从中下载所有符合研究的宫颈癌患者的不同病理分型的数据,选用第八期T,N,M分期对数据的T,N,M分期进行整理,标准化,筛选,筛选条件为患者第八期T,N,M分期明确,有符合要求的观察结局,如死亡或存活。通过筛查出的患者的不同病理分型的数据,运用SPSS26.0统计软件进行统计描述,采用Kaplan-Meier法。描绘生存曲线并估计患者的生存率,死亡率。生存时间分布的组间比较采用Log-Rank检验,对分析结果中P α = 0.05,以P Objective: Study on the prognostic risk model of cervical cancer patients based on SEER database, analyze the relevant factors affecting the prognosis of cervical cancer, and provide scientific reference for the prognosis recovery and treatment of cervical cancer patients. Methods: The SEER database was used to preliminarily screen the data related to cervical cancer, download the data of different pathological types of cervical cancer patients in line with the study, and select the eighth stage T, N, M to sort out, standardize and screen the T, N and M stages of the data. The screening conditions were that the eighth stage T, N and M stages of patients were clear, and there were satisfactory observed outcomes, such as death or survival. Through the data of different pathological types of patients screened, spss26 0 statistical software for statistical description, using Kaplan Meier method. Draw the survival curve and estimate the survival rate and mortality of patients. The inter group comparison of survival time distribution adopts log rank test to conduct multi factor Cox analysis on the variables with statistical significance of P α = 0.05, P < 0.05. Result: (1) Kaplan Meier univariate analysis: different pathological stages of T stage, N stage and M stage have an impact on the survival of patients, which is statistically significant (P < 0.05), and can affect the survival of patients to varying degrees. (2) Cox multivariate analysis: T stage, N stage and M stage were independent prognostic factors affecting the survival time of patients. Conclusion: Different T, N and M pathological stages of different cervical cancer patients can affect the prognosis of cervical cancer patients to varying degrees. They have a significant impact on the mortality and survival rate of cervical cancer patients, and can provide relevant basis for the development and improvement of the treatment scheme of cervical cancer.
文摘In the era of big data,traditional statistical inference methods are faced with great challenges.Taking the two-sample distribution test scenario of big data as an example,this paper proposes the BB-KS test based on m out of n bootstrap for solving a single-machine memory and computing constraints.It is verified to the feasibility and effectiveness of the proposed test method through theoretical analysis and numerical simulation.The results show that the BB-KS test can improve the calculation efficiency of the test to a certain extent in the single machine scenario.
文摘RNA contains diverse post-transcriptional modifications,and its catabolic breakdown yields numerous modified nucleosides requiring correct processing,but the mechanisms remain unknown.Here,we demonstrate that three RNA-derived modified adenosines,N6-methyladenosine(m6A),N6,N6-dimethyladenosine(m6,6A),and N6-isopentenyladenosine(i6A),are sequentially metabolized into inosine monophosphate(IMP)to mitigate their intrinsic cytotoxicity.
文摘In this paper, using the stochastic decomposition and renewal theory we provide the direct method for analysis the departure process of single sever M/G/1 queueing system, and further discuss the departure process of GI/G/1 queueing system. The method provided in this paper is new and concise, which make us see dearly the structure of the departure process of a single server queueing system.
文摘Ménétrier disease(MD)is a rare gastric disorder characterized by hypertrophy of the gastric mucosa,resulting in giant gastric folds,excessive mucus secretion,and significant protein loss.It is most common in middle-aged males,although cases have also been reported in children.This condition,also known as hyperplastic hypersecretory gastropathy,primarily affects the fundus and body of the stomach,leading to protein-losing gastropathy due to increased mucosal permeability.The exact pathogenesis of MD remains unclear;however,it has been linked to excessive transforming growth factor-alpha signaling via the epidermal growth factor receptor(EGFR),which promotes mucosal hyperplasia.Clinical manifestations include epigastric pain,nausea,vomiting,anorexia,weight loss,and peripheral edema due to protein-losing enteropathy.Diagnosis is based on clinical presentation,endoscopic findings,and histopathology revealing foveolar hyperplasia and glandular atrophy.Treatment options vary from symptomatic management with proton pump inhibitors and nutritional support to monoclonal antibodies targeting EGFR(e.g.,cetuximab)in severe cases.In refractory situations,gastrectomy may be required.This review highlights the current understanding,diagnostic approaches,and therapeutic strategies for MD.
