Complex optimization problems hold broad significance across numerous fields and applications.However,as the dimensionality of such problems increases,issues like the curse of dimensionality and local optima trapping ...Complex optimization problems hold broad significance across numerous fields and applications.However,as the dimensionality of such problems increases,issues like the curse of dimensionality and local optima trapping also arise.To address these challenges,this paper proposes a novel Wild Gibbon Optimization Algorithm(WGOA)based on an analysis of wild gibbon population behavior.WGOAcomprises two strategies:community search and community competition.The community search strategy facilitates information exchange between two gibbon families,generating multiple candidate solutions to enhance algorithm diversity.Meanwhile,the community competition strategy reselects leaders for the population after each iteration,thus enhancing algorithm precision.To assess the algorithm’s performance,CEC2017 and CEC2022 are chosen as test functions.In the CEC2017 test suite,WGOA secures first place in 10 functions.In the CEC2022 benchmark functions,WGOA obtained the first rank in 5 functions.The ultimate experimental findings demonstrate that theWildGibbonOptimization Algorithm outperforms others in tested functions.This underscores the strong robustness and stability of the gibbonalgorithm in tackling complex single-objective optimization problems.展开更多
BACKGROUND The number of dissected lymph nodes(LNs)in rectal cancer after neoadjuvant therapy has a controversial effect on the prognosis.AIM To investigate the prognostic impact of the number of LN dissected in recta...BACKGROUND The number of dissected lymph nodes(LNs)in rectal cancer after neoadjuvant therapy has a controversial effect on the prognosis.AIM To investigate the prognostic impact of the number of LN dissected in rectal cancer patients after neoadjuvant therapy.METHODS We performed a systematic review and searched Pub Med,Embase(Ovid),MEDLINE(Ovid),Web of Science,and Cochrane Library from January 1,2000 until January 1,2020.Two reviewers examined all the publications independently and extracted the relevant data.Articles were eligible for inclusion if they compared the number of LNs in rectal cancer specimens resected after neoadjuvant treatment(LNs≥12 vs LNs<12).The primary endpoints were the overall survival(OS)and disease-free survival(DFS).RESULTS Nine articles were included in the meta-analyses.Statistical analysis revealed a statistically significant difference in OS[hazard ratio(HR)=0.76,95%confidence interval(CI):0.66-0.88,I2=12.2%,P=0.336],DFS(HR=0.76,95%CI:0.63-0.92,I2=68.4%,P=0.013),and distant recurrence(DR)(HR=0.63,95%CI:0.48-0.93,I2=30.5%,P=0.237)between the LNs≥12 and LNs<12 groups,but local recurrence(HR=0.67,95%CI:0.38-1.16,I2=0%,P=0.348)showed no statistical difference.Moreover,subgroup analysis of LN negative patients revealed a statistically significant difference in DFS(HR=0.67,95%CI:0.52-0.88,I2=0%,P=0.565)between the LNs≥12 and LNs<12 groups.CONCLUSION Although neoadjuvant therapy reduces LN production in rectal cancer,our data indicate that dissecting at least 12 LNs after neoadjuvant therapy may improve the patients’OS,DFS,and DR.展开更多
基金funded by Natural Science Foundation of Hubei Province Grant Numbers 2023AFB003,2023AFB004Education Department Scientific Research Program Project of Hubei Province of China Grant Number Q20222208+2 种基金Natural Science Foundation of Hubei Province of China(No.2022CFB076)Artificial Intelligence Innovation Project of Wuhan Science and Technology Bureau(No.2023010402040016)JSPS KAKENHI Grant Number JP22K12185.
文摘Complex optimization problems hold broad significance across numerous fields and applications.However,as the dimensionality of such problems increases,issues like the curse of dimensionality and local optima trapping also arise.To address these challenges,this paper proposes a novel Wild Gibbon Optimization Algorithm(WGOA)based on an analysis of wild gibbon population behavior.WGOAcomprises two strategies:community search and community competition.The community search strategy facilitates information exchange between two gibbon families,generating multiple candidate solutions to enhance algorithm diversity.Meanwhile,the community competition strategy reselects leaders for the population after each iteration,thus enhancing algorithm precision.To assess the algorithm’s performance,CEC2017 and CEC2022 are chosen as test functions.In the CEC2017 test suite,WGOA secures first place in 10 functions.In the CEC2022 benchmark functions,WGOA obtained the first rank in 5 functions.The ultimate experimental findings demonstrate that theWildGibbonOptimization Algorithm outperforms others in tested functions.This underscores the strong robustness and stability of the gibbonalgorithm in tackling complex single-objective optimization problems.
基金Supported by the National Natural Science Foundation of China,No.81070378 and 81270561Special Research Fund for The First Affiliated Hospital of Chengdu Medical College,No.CYFY2019YB08。
文摘BACKGROUND The number of dissected lymph nodes(LNs)in rectal cancer after neoadjuvant therapy has a controversial effect on the prognosis.AIM To investigate the prognostic impact of the number of LN dissected in rectal cancer patients after neoadjuvant therapy.METHODS We performed a systematic review and searched Pub Med,Embase(Ovid),MEDLINE(Ovid),Web of Science,and Cochrane Library from January 1,2000 until January 1,2020.Two reviewers examined all the publications independently and extracted the relevant data.Articles were eligible for inclusion if they compared the number of LNs in rectal cancer specimens resected after neoadjuvant treatment(LNs≥12 vs LNs<12).The primary endpoints were the overall survival(OS)and disease-free survival(DFS).RESULTS Nine articles were included in the meta-analyses.Statistical analysis revealed a statistically significant difference in OS[hazard ratio(HR)=0.76,95%confidence interval(CI):0.66-0.88,I2=12.2%,P=0.336],DFS(HR=0.76,95%CI:0.63-0.92,I2=68.4%,P=0.013),and distant recurrence(DR)(HR=0.63,95%CI:0.48-0.93,I2=30.5%,P=0.237)between the LNs≥12 and LNs<12 groups,but local recurrence(HR=0.67,95%CI:0.38-1.16,I2=0%,P=0.348)showed no statistical difference.Moreover,subgroup analysis of LN negative patients revealed a statistically significant difference in DFS(HR=0.67,95%CI:0.52-0.88,I2=0%,P=0.565)between the LNs≥12 and LNs<12 groups.CONCLUSION Although neoadjuvant therapy reduces LN production in rectal cancer,our data indicate that dissecting at least 12 LNs after neoadjuvant therapy may improve the patients’OS,DFS,and DR.
