Objective:To explore the effect of the adjuvant milrinone therapy on cardiac function, myocardial remodeling and RAAS system activity in patients with chronic heart failure. Methods: A total of 110 patients with chron...Objective:To explore the effect of the adjuvant milrinone therapy on cardiac function, myocardial remodeling and RAAS system activity in patients with chronic heart failure. Methods: A total of 110 patients with chronic heart failure who were treated in the hospital between January 2015 and January 2017 were divided into control group (n=55) and observation group (n=55) by random number table method. Control group received conventional therapy for chronic heart failure, and the observation group received milrinone on the basis of conventional therapy. The differences in ultrasound cardiac function and myocardial remodeling index levels as well as serum RAAS index contents were compared between the two groups before and after treatment.Results: Before treatment, the differences in ultrasound cardiac function and myocardial remodeling index levels as well as serum RAAS index contents were not statistically significant between the two groups. After treatment, CO and SV levels of both groups of patients were significantly higher than those before treatment while LADd, LVEDd, LVPWT, IVST and LVMI levels as well as serum PRA, AngⅡ and ALD contents were significantly lower than those before treatment, and CO and SV levels of observation group were significantly higher than those of control group while LADd, LVEDd, LVPWT, IVST and LVMI levels as well as serum PRA, AngⅡ and ALD contents were significantly lower than those of control group.Conclusion: Adjuvant milrinone therapy can effectively enhance the cardiac function, inhibit the myocardial remodeling and decrease the RAAS system activity in patients with chronic heart failure.展开更多
To systematically evaluate the efficacy of urinary granules combined with RAAS system blockers in the treatment of diabetic nephropathy(DN).A meta-analysis of the data required in the literature in accordance with thi...To systematically evaluate the efficacy of urinary granules combined with RAAS system blockers in the treatment of diabetic nephropathy(DN).A meta-analysis of the data required in the literature in accordance with this study was performed using Rev Man 5.3 software.Fifteen randomized controlled trials were analyzed in the present study to evaluate the clinical effect of Niaoduqing-angiotensin converting enzyme inhibitors/angiotensin receptor blocker(ACEI/ARB)in DN patients.A total of 1063 patients were involved,including 538 patients receiving the combination treatment and 525 patients in the control group.The results showed that the clinical efficacy of Niaoduqing granule combined with ACEI/ARB was significantly better than of the control group(odds ratio=2.92,95%confidence interval[CI]1.76–4.86).The treatment combined with Niaoduqing granule decreased the 24-h urinary protein quantitation(mean difference[MD]0.71,95%CI 0.28–1.14)and urine albumin excretion rate(UAER)(MD 41.13,95%CI 26.66–55.59)levels.However,the combination group had no treatment advantage on reducing serumurea nitrogen(MD 0.86,95%CI 0.05–1.68,P=0.02)and fasting blood glucose(MD-0.03,95%CI-0.15–0.09,P=0.61).And there was no significance in adverse events between two groups(risk ratio=2.34,95%CI 0.69–7.95,P=0.17).Niaoduqing granule-ACEI/ARB combination group maybe as safe as ACEI/ARB alone,and the combination played an advantage in improvement in total effective rate,reduction of 24-h urinary protein quantitation and UAER.展开更多
Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and ...Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware operations.This study provides a new approach for RaaS attack detection which uses an ensemble of deep learning models.For this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is analyzed.In the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are developed.Later,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested methodology.The proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%F1-score.The empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual MLPmodels.In expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.展开更多
文摘Objective:To explore the effect of the adjuvant milrinone therapy on cardiac function, myocardial remodeling and RAAS system activity in patients with chronic heart failure. Methods: A total of 110 patients with chronic heart failure who were treated in the hospital between January 2015 and January 2017 were divided into control group (n=55) and observation group (n=55) by random number table method. Control group received conventional therapy for chronic heart failure, and the observation group received milrinone on the basis of conventional therapy. The differences in ultrasound cardiac function and myocardial remodeling index levels as well as serum RAAS index contents were compared between the two groups before and after treatment.Results: Before treatment, the differences in ultrasound cardiac function and myocardial remodeling index levels as well as serum RAAS index contents were not statistically significant between the two groups. After treatment, CO and SV levels of both groups of patients were significantly higher than those before treatment while LADd, LVEDd, LVPWT, IVST and LVMI levels as well as serum PRA, AngⅡ and ALD contents were significantly lower than those before treatment, and CO and SV levels of observation group were significantly higher than those of control group while LADd, LVEDd, LVPWT, IVST and LVMI levels as well as serum PRA, AngⅡ and ALD contents were significantly lower than those of control group.Conclusion: Adjuvant milrinone therapy can effectively enhance the cardiac function, inhibit the myocardial remodeling and decrease the RAAS system activity in patients with chronic heart failure.
基金supported by the National Natural Science Foundation Project of China (youth science fund project. 81603570)
文摘To systematically evaluate the efficacy of urinary granules combined with RAAS system blockers in the treatment of diabetic nephropathy(DN).A meta-analysis of the data required in the literature in accordance with this study was performed using Rev Man 5.3 software.Fifteen randomized controlled trials were analyzed in the present study to evaluate the clinical effect of Niaoduqing-angiotensin converting enzyme inhibitors/angiotensin receptor blocker(ACEI/ARB)in DN patients.A total of 1063 patients were involved,including 538 patients receiving the combination treatment and 525 patients in the control group.The results showed that the clinical efficacy of Niaoduqing granule combined with ACEI/ARB was significantly better than of the control group(odds ratio=2.92,95%confidence interval[CI]1.76–4.86).The treatment combined with Niaoduqing granule decreased the 24-h urinary protein quantitation(mean difference[MD]0.71,95%CI 0.28–1.14)and urine albumin excretion rate(UAER)(MD 41.13,95%CI 26.66–55.59)levels.However,the combination group had no treatment advantage on reducing serumurea nitrogen(MD 0.86,95%CI 0.05–1.68,P=0.02)and fasting blood glucose(MD-0.03,95%CI-0.15–0.09,P=0.61).And there was no significance in adverse events between two groups(risk ratio=2.34,95%CI 0.69–7.95,P=0.17).Niaoduqing granule-ACEI/ARB combination group maybe as safe as ACEI/ARB alone,and the combination played an advantage in improvement in total effective rate,reduction of 24-h urinary protein quantitation and UAER.
基金the Deanship of Scientific Research,Najran University,Kingdom of Saudi Arabia,for funding this work under the Research Groups Funding Program Grant Code Number(NU/RG/SERC/12/43).
文摘Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware operations.This study provides a new approach for RaaS attack detection which uses an ensemble of deep learning models.For this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is analyzed.In the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are developed.Later,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested methodology.The proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%F1-score.The empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual MLPmodels.In expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.
