Objective:To summarize the clinical data and nursing experience of 5 cases of pregnant women with combined heart disease in pregnancy after cesarean section,followed by termination of pregnancy and then cardiac surger...Objective:To summarize the clinical data and nursing experience of 5 cases of pregnant women with combined heart disease in pregnancy after cesarean section,followed by termination of pregnancy and then cardiac surgery in the postoperative period,to provide clinical experience for the care of such patients in the future.Methods:Retrospective analysis of the treatment and nursing process of 5 cases of pregnant women with pregnancy-related heart disease admitted to the hospital’s department from May 16,2023,to September 19,2024,after cesarean section for termination of pregnancy,followed by cardiac surgery.For postoperative patients after cesarean section,using the“waist bag”type sandbag hemostasis method to prevent intra-abdominal pressure poly drop caused by heart rate,blood pressure abnormal treatment,and hemostatic effect,reduces the frequency of hemostatic drugs[1].Strict monitoring of vital signs and hemodynamic monitoring,to maintain access and stability of the internal environment,digestive system care.Result:Five pregnant women with heart disease who underwent surgery all recovered and were discharged after appropriate nursing measures were taken.The average length of hospital stay for the five patients was(20±14.3)days.Conclusion:For pregnant women with complicated heart disease who undergo cesarean section to terminate pregnancy followed by cardiac surgery,it is essential to strengthen specialized monitoring and clearly define key observation points.Focused treatment and nursing care can help reduce postoperative complications,support patient recovery and self-care,and shorten hospital stays.This approach provides valuable clinical guidance for managing similar cases in the future.It is of clinical significance for future cardiac surgery after cesarean section in pregnant women with complicated heart disease.展开更多
Non-small cell lung cancer(NSCLC)is the most common form of lung cancer which remains the deadliest malignancy worldwide(Siegel et al.,2019).In general,NSCLC can be divided into several subtypes,including adenocarcino...Non-small cell lung cancer(NSCLC)is the most common form of lung cancer which remains the deadliest malignancy worldwide(Siegel et al.,2019).In general,NSCLC can be divided into several subtypes,including adenocarcinoma(ADC),squamous cell carcinoma(SCC),adeno-squamous cell carcinoma(AD-SCC)and large cell carcinoma(LCC).展开更多
The brain is a complex network system in which a large number of neurons are widely connected to each other and transmit signals to each other.The memory characteristic of memristors makes them suitable for simulating...The brain is a complex network system in which a large number of neurons are widely connected to each other and transmit signals to each other.The memory characteristic of memristors makes them suitable for simulating neuronal synapses with plasticity.In this paper,a memristor is used to simulate a synapse,a discrete small-world neuronal network is constructed based on Rulkov neurons and its dynamical behavior is explored.We explore the influence of system parameters on the dynamical behaviors of the discrete small-world network,and the system shows a variety of firing patterns such as spiking firing and triangular burst firing when the neuronal parameterαis changed.The results of a numerical simulation based on Matlab show that the network topology can affect the synchronous firing behavior of the neuronal network,and the higher the reconnection probability and number of the nearest neurons,the more significant the synchronization state of the neurons.In addition,by increasing the coupling strength of memristor synapses,synchronization performance is promoted.The results of this paper can boost research into complex neuronal networks coupled with memristor synapses and further promote the development of neuroscience.展开更多
The identification of hepatitis C virus(HCV)virus-human protein interactions will not only help us understand the molecular mechanisms of related diseases but also be conductive to discovering new drug targets.An incr...The identification of hepatitis C virus(HCV)virus-human protein interactions will not only help us understand the molecular mechanisms of related diseases but also be conductive to discovering new drug targets.An increasing number of clinically and experimentally validated interactions between HCV and human proteins have been documented in public databases,facilitating studies based on computational methods.In this study,we proposed a new computational approach,rotation forest position-specific scoring matrix(RF-PSSM),to predict the interactions among HCV and human proteins.In particular,PSSM was used to characterize each protein,two-dimensional principal component analysis(2DPCA)was then adopted for feature extraction of PSSM.Finally,rotation forest(RF)was used to implement classification.The results of various ablation experiments show that on independent datasets,the accuracy and area under curve(AUC)value of RF-PSSM can reach 93.74% and 94.29%,respectively,outperforming almost all cutting-edge research.In addition,we used RF-PSSM to predict 9 human proteins that may interact with HCV protein E1,which can provide theoretical guidance for future experimental studies.展开更多
文摘Objective:To summarize the clinical data and nursing experience of 5 cases of pregnant women with combined heart disease in pregnancy after cesarean section,followed by termination of pregnancy and then cardiac surgery in the postoperative period,to provide clinical experience for the care of such patients in the future.Methods:Retrospective analysis of the treatment and nursing process of 5 cases of pregnant women with pregnancy-related heart disease admitted to the hospital’s department from May 16,2023,to September 19,2024,after cesarean section for termination of pregnancy,followed by cardiac surgery.For postoperative patients after cesarean section,using the“waist bag”type sandbag hemostasis method to prevent intra-abdominal pressure poly drop caused by heart rate,blood pressure abnormal treatment,and hemostatic effect,reduces the frequency of hemostatic drugs[1].Strict monitoring of vital signs and hemodynamic monitoring,to maintain access and stability of the internal environment,digestive system care.Result:Five pregnant women with heart disease who underwent surgery all recovered and were discharged after appropriate nursing measures were taken.The average length of hospital stay for the five patients was(20±14.3)days.Conclusion:For pregnant women with complicated heart disease who undergo cesarean section to terminate pregnancy followed by cardiac surgery,it is essential to strengthen specialized monitoring and clearly define key observation points.Focused treatment and nursing care can help reduce postoperative complications,support patient recovery and self-care,and shorten hospital stays.This approach provides valuable clinical guidance for managing similar cases in the future.It is of clinical significance for future cardiac surgery after cesarean section in pregnant women with complicated heart disease.
文摘Non-small cell lung cancer(NSCLC)is the most common form of lung cancer which remains the deadliest malignancy worldwide(Siegel et al.,2019).In general,NSCLC can be divided into several subtypes,including adenocarcinoma(ADC),squamous cell carcinoma(SCC),adeno-squamous cell carcinoma(AD-SCC)and large cell carcinoma(LCC).
基金Project supported by the Key Projects of Hunan Provincial Department of Education (Grant No.23A0133)the Natural Science Foundation of Hunan Province (Grant No.2022JJ30572)the National Natural Science Foundations of China (Grant No.62171401)。
文摘The brain is a complex network system in which a large number of neurons are widely connected to each other and transmit signals to each other.The memory characteristic of memristors makes them suitable for simulating neuronal synapses with plasticity.In this paper,a memristor is used to simulate a synapse,a discrete small-world neuronal network is constructed based on Rulkov neurons and its dynamical behavior is explored.We explore the influence of system parameters on the dynamical behaviors of the discrete small-world network,and the system shows a variety of firing patterns such as spiking firing and triangular burst firing when the neuronal parameterαis changed.The results of a numerical simulation based on Matlab show that the network topology can affect the synchronous firing behavior of the neuronal network,and the higher the reconnection probability and number of the nearest neurons,the more significant the synchronization state of the neurons.In addition,by increasing the coupling strength of memristor synapses,synchronization performance is promoted.The results of this paper can boost research into complex neuronal networks coupled with memristor synapses and further promote the development of neuroscience.
文摘The identification of hepatitis C virus(HCV)virus-human protein interactions will not only help us understand the molecular mechanisms of related diseases but also be conductive to discovering new drug targets.An increasing number of clinically and experimentally validated interactions between HCV and human proteins have been documented in public databases,facilitating studies based on computational methods.In this study,we proposed a new computational approach,rotation forest position-specific scoring matrix(RF-PSSM),to predict the interactions among HCV and human proteins.In particular,PSSM was used to characterize each protein,two-dimensional principal component analysis(2DPCA)was then adopted for feature extraction of PSSM.Finally,rotation forest(RF)was used to implement classification.The results of various ablation experiments show that on independent datasets,the accuracy and area under curve(AUC)value of RF-PSSM can reach 93.74% and 94.29%,respectively,outperforming almost all cutting-edge research.In addition,we used RF-PSSM to predict 9 human proteins that may interact with HCV protein E1,which can provide theoretical guidance for future experimental studies.
