为了解决深基坑工程风险评估过程中不确定因素众多,风险评估难以量化和主观性过强难题,依托南昌轨道交通3号线岱山站深基坑工程,提出一种将CRITIC(criteria importance though intercrieria correlation)客观赋权法和灰色系统理论相结...为了解决深基坑工程风险评估过程中不确定因素众多,风险评估难以量化和主观性过强难题,依托南昌轨道交通3号线岱山站深基坑工程,提出一种将CRITIC(criteria importance though intercrieria correlation)客观赋权法和灰色系统理论相结合的风险量化评估方法,建立了地铁深基坑工程施工期间风险评估指标体系,采用CRITIC法计算各指标的客观权重,结合灰色系统理论进行综合评估,确定地铁深基坑施工安全风险等级和风险值。结果表明:该方法能科学、可靠地评价出深基坑风险等级,减少专家主观因素带来的影响,考虑了指标间的相互联系,能够合理反映深基坑施工风险等级水平,适用于风险因素众多且模糊不定的基坑工程,可以为同类深基坑工程的风险管理提供决策依据。展开更多
科学有效地预测水质对于水环境的可持续发展和人类健康具有重要意义,为此以固原市某黄河断面的水质监测数据为研究对象,提出了基于指标客观性的权重赋权(Criteria Importance Though Intercriteria Correlation,CRITIC)法和改进的秃鹰搜...科学有效地预测水质对于水环境的可持续发展和人类健康具有重要意义,为此以固原市某黄河断面的水质监测数据为研究对象,提出了基于指标客观性的权重赋权(Criteria Importance Though Intercriteria Correlation,CRITIC)法和改进的秃鹰搜索(Improved Bald Eagle Search,IBES)算法优化双向长短时记忆网络(Bidirectional Long Short-Term Memory Network,BiLSTM)的组合水质等级预测模型。首先,采用CRITIC法确定各水质指标的权重,加权求和获得一项综合水质指标,从而提出一种改进的水质评价指标体系,以为BiLSTM提供更丰富、更可靠的水质特征信息。其次,在训练过程中引入Logistic映射和莱维飞行策略,并设计交叉共享及准反向搜索策略优化秃鹰搜索(Bald Eagle Search,BES)算法,以提升其种群多样性,增强寻优能力。最后,通过IBES算法迭代寻找BiLSTM的最佳学习率、隐藏层节点数以及正则化系数的超参数组合,进一步提高其预测水平。结果显示:与IBES-BiLSTM、BES-BiLSTM、GA-BiLSTM、PSO-BiLSTM和BiLSTM等模型相比,CRITIC-IBES-BiLSTM模型进行水质等级预测的准确率、精准率、召回率及F_(1)均最高,且具有更好的稳定性。展开更多
BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from...BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had COVID-19.AIM To evaluate anxiety and depression among patients who had severe COVID-19.METHODS This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for COVID-19.Eligible patients were contacted via telephone.The patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS score.The secondary outcomes were risk factors of anxiety and/or depression.RESULTS Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the questionnaires.The mean age was 56.3±17.2 years.Thirty patients(62.5%)were male.The main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)diseases.The mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),respectively.Results from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and depression.To compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.展开更多
The expansion of a thick-walled hollow cylinder in soil is of non-self-similar nature that the stress/deformation paths are not the same for different soil material points.As a result,this problem cannot be solved by ...The expansion of a thick-walled hollow cylinder in soil is of non-self-similar nature that the stress/deformation paths are not the same for different soil material points.As a result,this problem cannot be solved by the common self-similar-based similarity techniques.This paper proposes a novel,exact solution for rigorous drained expansion analysis of a hollow cylinder of critical state soils.Considering stress-dependent elastic moduli of soils,new analytical stress and displacement solutions for the nonself-similar problem are developed taking the small strain assumption in the elastic zone.In the plastic zone,the cavity expansion response is formulated into a set of first-order partial differential equations(PDEs)with the combination use of Eulerian and Lagrangian descriptions,and a novel solution algorithm is developed to efficiently solve this complex boundary value problem.The solution is presented in a general form and thus can be useful for a wide range of soils.With the new solution,the non-self-similar nature induced by the finite outer boundary is clearly demonstrated and highlighted,which is found to be greatly different to the behaviour of cavity expansion in infinite soil mass.The present solution may serve as a benchmark for verifying the performance of advanced numerical techniques with critical state soil models and be used to capture the finite boundary effect for pressuremeter tests in small-sized calibration chambers.展开更多
文摘为了解决深基坑工程风险评估过程中不确定因素众多,风险评估难以量化和主观性过强难题,依托南昌轨道交通3号线岱山站深基坑工程,提出一种将CRITIC(criteria importance though intercrieria correlation)客观赋权法和灰色系统理论相结合的风险量化评估方法,建立了地铁深基坑工程施工期间风险评估指标体系,采用CRITIC法计算各指标的客观权重,结合灰色系统理论进行综合评估,确定地铁深基坑施工安全风险等级和风险值。结果表明:该方法能科学、可靠地评价出深基坑风险等级,减少专家主观因素带来的影响,考虑了指标间的相互联系,能够合理反映深基坑施工风险等级水平,适用于风险因素众多且模糊不定的基坑工程,可以为同类深基坑工程的风险管理提供决策依据。
文摘科学有效地预测水质对于水环境的可持续发展和人类健康具有重要意义,为此以固原市某黄河断面的水质监测数据为研究对象,提出了基于指标客观性的权重赋权(Criteria Importance Though Intercriteria Correlation,CRITIC)法和改进的秃鹰搜索(Improved Bald Eagle Search,IBES)算法优化双向长短时记忆网络(Bidirectional Long Short-Term Memory Network,BiLSTM)的组合水质等级预测模型。首先,采用CRITIC法确定各水质指标的权重,加权求和获得一项综合水质指标,从而提出一种改进的水质评价指标体系,以为BiLSTM提供更丰富、更可靠的水质特征信息。其次,在训练过程中引入Logistic映射和莱维飞行策略,并设计交叉共享及准反向搜索策略优化秃鹰搜索(Bald Eagle Search,BES)算法,以提升其种群多样性,增强寻优能力。最后,通过IBES算法迭代寻找BiLSTM的最佳学习率、隐藏层节点数以及正则化系数的超参数组合,进一步提高其预测水平。结果显示:与IBES-BiLSTM、BES-BiLSTM、GA-BiLSTM、PSO-BiLSTM和BiLSTM等模型相比,CRITIC-IBES-BiLSTM模型进行水质等级预测的准确率、精准率、召回率及F_(1)均最高,且具有更好的稳定性。
基金the Researchers Supporting Project number,King Saud University,Riyadh,Saudi Arabia,No.RSPD2024R919.
文摘BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had COVID-19.AIM To evaluate anxiety and depression among patients who had severe COVID-19.METHODS This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for COVID-19.Eligible patients were contacted via telephone.The patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS score.The secondary outcomes were risk factors of anxiety and/or depression.RESULTS Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the questionnaires.The mean age was 56.3±17.2 years.Thirty patients(62.5%)were male.The main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)diseases.The mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),respectively.Results from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and depression.To compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.
基金funding support from the National Key Research and Development Program of China(Grant No.2023YFB2604004)the National Natural Science Foundation of China(Grant No.52108374)the“Taishan”Scholar Program of Shandong Province,China(Grant No.tsqn201909016)。
文摘The expansion of a thick-walled hollow cylinder in soil is of non-self-similar nature that the stress/deformation paths are not the same for different soil material points.As a result,this problem cannot be solved by the common self-similar-based similarity techniques.This paper proposes a novel,exact solution for rigorous drained expansion analysis of a hollow cylinder of critical state soils.Considering stress-dependent elastic moduli of soils,new analytical stress and displacement solutions for the nonself-similar problem are developed taking the small strain assumption in the elastic zone.In the plastic zone,the cavity expansion response is formulated into a set of first-order partial differential equations(PDEs)with the combination use of Eulerian and Lagrangian descriptions,and a novel solution algorithm is developed to efficiently solve this complex boundary value problem.The solution is presented in a general form and thus can be useful for a wide range of soils.With the new solution,the non-self-similar nature induced by the finite outer boundary is clearly demonstrated and highlighted,which is found to be greatly different to the behaviour of cavity expansion in infinite soil mass.The present solution may serve as a benchmark for verifying the performance of advanced numerical techniques with critical state soil models and be used to capture the finite boundary effect for pressuremeter tests in small-sized calibration chambers.
