Background:Recently,researchers have been attracted in identifying the crucial genes related to cancer,which plays important role in cancer diagnosis and treatment.However,in performing the cancer molecular subtype cl...Background:Recently,researchers have been attracted in identifying the crucial genes related to cancer,which plays important role in cancer diagnosis and treatment.However,in performing the cancer molecular subtype classification task from cancer gene expression data,it is challenging to obtain those significant genes due to the high dimensionality and high noise of data.Moreover,the existing methods always suffer from some issues such as premature convergence.Methods:To address those problems,we propose a new ant colony optimization(ACO)algorithm called DACO to classify the cancer gene expression datasets,identifying the essential genes of different diseases.In DACO,first,we propose the initial pheromone concentration based on the weight ranking vector to accelerate the convergence speed;then,a dynamic pheromone volatility factor is designed to prevent the algorithm from getting stuck in the local optimal solution;finally,the pheromone update rule in the Ant Colony System is employed to update the pheromone globally and locally.To demonstrate the performance of the proposed algorithm in classification,different existing approaches are compared with the proposed algorithm on eight high-dimensional cancer gene expression datasets.Results:The experiment results show that the proposed algorithm performs better than other effective methods in terms of classification accuracy and the number of feature sets.It can be used to address the classification problem effectively.Moreover,a renal cell carcinoma dataset is employed to reveal the biological significance of the proposed algorithm from a number of biological analyses.Conclusion:The results demonstrate that CAPS may play a crucial role in the occurrence and development of renal clear cell carcinoma.展开更多
Objective:To analyze the effect of Internet+nursing practice to promote exclusive breastfeeding.Methods:60 new mothers were selected from our hospital between February 2021 and February 2022,randomly divided into two ...Objective:To analyze the effect of Internet+nursing practice to promote exclusive breastfeeding.Methods:60 new mothers were selected from our hospital between February 2021 and February 2022,randomly divided into two groups,the control group and the observation group.Conventional care was given to the control group and the Internet+care was given to the observation group.The healing of perineal wounds,breastfeeding rate as well as the nursing satisfaction of both groups were compared with each other.Results:The perineal wound healing rate was 100.00%in the observation group and 83.33%in the control group,the healing rate was higher in the observation group(P<0.05).80.00%,with higher nursing satisfaction in the observation group(P<0.05).Conclusion:Internet+nursing guidance during the perinatal care of mothers can improve the success rate of breastfeeding and achieve higher nursing satisfaction.展开更多
基金supported by the Langfang Science and Technology Plan Project(No.2018013151)from Hebei Petro China Central Hospital.
文摘Background:Recently,researchers have been attracted in identifying the crucial genes related to cancer,which plays important role in cancer diagnosis and treatment.However,in performing the cancer molecular subtype classification task from cancer gene expression data,it is challenging to obtain those significant genes due to the high dimensionality and high noise of data.Moreover,the existing methods always suffer from some issues such as premature convergence.Methods:To address those problems,we propose a new ant colony optimization(ACO)algorithm called DACO to classify the cancer gene expression datasets,identifying the essential genes of different diseases.In DACO,first,we propose the initial pheromone concentration based on the weight ranking vector to accelerate the convergence speed;then,a dynamic pheromone volatility factor is designed to prevent the algorithm from getting stuck in the local optimal solution;finally,the pheromone update rule in the Ant Colony System is employed to update the pheromone globally and locally.To demonstrate the performance of the proposed algorithm in classification,different existing approaches are compared with the proposed algorithm on eight high-dimensional cancer gene expression datasets.Results:The experiment results show that the proposed algorithm performs better than other effective methods in terms of classification accuracy and the number of feature sets.It can be used to address the classification problem effectively.Moreover,a renal cell carcinoma dataset is employed to reveal the biological significance of the proposed algorithm from a number of biological analyses.Conclusion:The results demonstrate that CAPS may play a crucial role in the occurrence and development of renal clear cell carcinoma.
文摘Objective:To analyze the effect of Internet+nursing practice to promote exclusive breastfeeding.Methods:60 new mothers were selected from our hospital between February 2021 and February 2022,randomly divided into two groups,the control group and the observation group.Conventional care was given to the control group and the Internet+care was given to the observation group.The healing of perineal wounds,breastfeeding rate as well as the nursing satisfaction of both groups were compared with each other.Results:The perineal wound healing rate was 100.00%in the observation group and 83.33%in the control group,the healing rate was higher in the observation group(P<0.05).80.00%,with higher nursing satisfaction in the observation group(P<0.05).Conclusion:Internet+nursing guidance during the perinatal care of mothers can improve the success rate of breastfeeding and achieve higher nursing satisfaction.
