Objective:To explore a method that can improve the detecting accuracy for faults of magnetic resonance(MR)through diagnostic technique based on firefly algorithm for fault of MR coil of magnetic resonance imaging(MRI)equipment with superconductivity,so as to enhance the performance and reliability of MRI equipment.Methods:A diagnosis technique for fault of MR coils in MRI equipment with superconductivity was proposed.Wavelet basis function was used to decompose initial vibration signals,and they were separated into resonance components with high-frequency and that with low-frequency,so as to enhance signal purity.The signal entropy value of deconvolution became the minimum value through iteratively adjusted the filter's coefficients,and identified the optimal system function of inverse filter,thus,to effectively recover the resonance characteristic of initially high and low frequency.A multi-objective function,which integrated entropy value of low-resonance component,smoothness and the differentiation of that with high-resonance components,was constructed.An improved firefly algorithm was introduced to combine linearly decreasing inertia weight factor,and simulate the process of swarm intelligence optimization,so as to realize global search and precise identification for faults'characteristics.Finally,the optimally diagnostic result was outputted.Results:The diagnostic technique based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity can effectively decompose and enhance the original signal,and significantly suppress the interference of background noise.The algorithm can approach the true solution of the fault,which only need 298 iterations through global search for the combination of faults'features and diagnostic parameters.It can realize accurate identification for the faults of MR coil.Conclusion:The diagnostic technique,which based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity,appears obvious advantages on diagnostic accuracy and convergence speed.It can provide a feasible approach for rapid diagnosis for fault of MRI equipment with superconductivity.

Objective:To investigate the efficacy of the patient and family-centered care (PFCC) model in malignant tumor children with peripherally inserted central catheter (PICC) .Methods:Convenience sampling was used to select 136 malignant tumor children with PICC admitted to the Second Affiliated Hospital of Wenzhou Medical University and their families from May 2023 to May 2024 as study subjects. The subjects were divided into an intervention group and a control group of 68 cases each. Control group implemented routine PICC care, and intervention group carried out care based on PFCC model on the basis of control group. Children's self-management ability, catheter maintenance compliance and family satisfaction with nursing were compared between the two groups.Results:A total of 128 children and their families were finally included, 65 in intervention group and 63 in control group. After intervention, the knowledge, attitude, and practice dimension scores and total scores of self-management ability of children in both groups were higher than those before intervention, and the knowledge, attitude, and practice dimension scores and total scores of intervention group were higher than those of control group, with statistically significant differences (all P<0.05) . The excellent rate of catheter maintenance compliance and the nursing satisfaction of the children's families in intervention group were higher than those in control group after intervention, and the differences were statistically significant (all P<0.05) . Conclusions:The application of the PFCC model to malignant tumor children with PICC can enhance children's self-management ability and catheter maintenance compliance, and improve family satisfaction with nursing.

Objective:To explore a method that can improve the detecting accuracy for faults of magnetic resonance(MR)through diagnostic technique based on firefly algorithm for fault of MR coil of magnetic resonance imaging(MRI)equipment with superconductivity,so as to enhance the performance and reliability of MRI equipment.Methods:A diagnosis technique for fault of MR coils in MRI equipment with superconductivity was proposed.Wavelet basis function was used to decompose initial vibration signals,and they were separated into resonance components with high-frequency and that with low-frequency,so as to enhance signal purity.The signal entropy value of deconvolution became the minimum value through iteratively adjusted the filter's coefficients,and identified the optimal system function of inverse filter,thus,to effectively recover the resonance characteristic of initially high and low frequency.A multi-objective function,which integrated entropy value of low-resonance component,smoothness and the differentiation of that with high-resonance components,was constructed.An improved firefly algorithm was introduced to combine linearly decreasing inertia weight factor,and simulate the process of swarm intelligence optimization,so as to realize global search and precise identification for faults'characteristics.Finally,the optimally diagnostic result was outputted.Results:The diagnostic technique based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity can effectively decompose and enhance the original signal,and significantly suppress the interference of background noise.The algorithm can approach the true solution of the fault,which only need 298 iterations through global search for the combination of faults'features and diagnostic parameters.It can realize accurate identification for the faults of MR coil.Conclusion:The diagnostic technique,which based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity,appears obvious advantages on diagnostic accuracy and convergence speed.It can provide a feasible approach for rapid diagnosis for fault of MRI equipment with superconductivity.

Objective:To investigate the efficacy of the patient and family-centered care (PFCC) model in malignant tumor children with peripherally inserted central catheter (PICC) .Methods:Convenience sampling was used to select 136 malignant tumor children with PICC admitted to the Second Affiliated Hospital of Wenzhou Medical University and their families from May 2023 to May 2024 as study subjects. The subjects were divided into an intervention group and a control group of 68 cases each. Control group implemented routine PICC care, and intervention group carried out care based on PFCC model on the basis of control group. Children's self-management ability, catheter maintenance compliance and family satisfaction with nursing were compared between the two groups.Results:A total of 128 children and their families were finally included, 65 in intervention group and 63 in control group. After intervention, the knowledge, attitude, and practice dimension scores and total scores of self-management ability of children in both groups were higher than those before intervention, and the knowledge, attitude, and practice dimension scores and total scores of intervention group were higher than those of control group, with statistically significant differences (all P<0.05) . The excellent rate of catheter maintenance compliance and the nursing satisfaction of the children's families in intervention group were higher than those in control group after intervention, and the differences were statistically significant (all P<0.05) . Conclusions:The application of the PFCC model to malignant tumor children with PICC can enhance children's self-management ability and catheter maintenance compliance, and improve family satisfaction with nursing.