BACKGROUND The participation of caregivers,who play a crucial role in the recovery of patients with gastrointestinal tumors,in family nutrition support decisions can help tailor nutrition plans to meet the specific ne...BACKGROUND The participation of caregivers,who play a crucial role in the recovery of patients with gastrointestinal tumors,in family nutrition support decisions can help tailor nutrition plans to meet the specific needs and lifestyle habits of the patient,thereby enhancing the effectiveness of nutritional intake.AIM To assess the impact of caregiver-shared decision-making in family nutritional support with mindfulness-based behavioral therapy on the risk of malnutrition and mood states in patients with gastrointestinal tumors.METHODS Patients with gastrointestinal tumors(n=118)treated at the Jiangnan University Affiliated Hospital between December 2021 and March 2024 were assigned to the observation(n=59)and control(n=59)groups using the random number table method.In addition to the standard treatment and basic nursing measures im-plemented in the control group,the integrated approach was implemented in the observation group.The nutritional and mood state indicators,compliance,and satisfaction before and 6 months after implementing the intervention were com-pared between the groups.RESULTS The body mass index,serum albumin levels,and transferrin levels,as well as the scores for all seven dimensions of the Profile of Mood States questionnaire,in the observation were higher than those in the control group after the 6-month follow-up period(P<0.05).However,the Nutrition Risk Screening 2002 and Mindful Attention Awareness Scale scores were lower than those in the control group(P<0.05).The compliance and satisfaction rates were 94.92%and 98.31%,respectively,which were higher than those of the control group(79.66%and 88.14%,respectively;P<0.05).CONCLUSION The implementation of the integrated approach significantly reduced the risk of malnutrition and improved mood states in patients with gastrointestinal tumors.Moreover,the compliance and satisfaction rates were higher.展开更多
To improve the practicability, suitability and accuracy of the trade-off among time, cost and quality of a process, a method based on resource capability is introduced. Through analyzing the relationship between an ac...To improve the practicability, suitability and accuracy of the trade-off among time, cost and quality of a process, a method based on resource capability is introduced. Through analyzing the relationship between an activity and its’ supporting resource, the model trades off the time, cost and quality by changing intensity of labor or changing the types of supporting resource or units of labor of resource in a certain time respectively according to the different types of its’ supporting resources. Through contrasting this method with the model of unit time cost corresponding to different quality levels and inter-related linear programming model of time, cost and quality for process optimizing, it is shown that this model does not only cover the above two models but also can describe some conditions the above two models can not express. The method supports to select different function to optimize a process according to different types of its supporting resource.展开更多
The approaches to discrete approximation of Pareto front using multi-objective evolutionary algorithms have the problems of heavy computation burden, long running time and missing Pareto optimal points. In order to ov...The approaches to discrete approximation of Pareto front using multi-objective evolutionary algorithms have the problems of heavy computation burden, long running time and missing Pareto optimal points. In order to overcome these problems, an approach to continuous approximation of Pareto front using geometric support vector regression is presented. The regression model of the small size approximate discrete Pareto front is constructed by geometric support vector regression modeling and is described as the approximate continuous Pareto front. In the process of geometric support vector regression modeling, considering the distribution characteristic of Pareto optimal points, the separable augmented training sample sets are constructed by shifting original training sample points along multiple coordinated axes. Besides, an interactive decision-making(DM)procedure, in which the continuous approximation of Pareto front and decision-making is performed interactively, is designed for improving the accuracy of the preferred Pareto optimal point. The correctness of the continuous approximation of Pareto front is demonstrated with a typical multi-objective optimization problem. In addition,combined with the interactive decision-making procedure, the continuous approximation of Pareto front is applied in the multi-objective optimization for an industrial fed-batch yeast fermentation process. The experimental results show that the generated approximate continuous Pareto front has good accuracy and completeness. Compared with the multi-objective evolutionary algorithm with large size population, a more accurate preferred Pareto optimal point can be obtained from the approximate continuous Pareto front with less computation and shorter running time. The operation strategy corresponding to the final preferred Pareto optimal point generated by the interactive DM procedure can improve the production indexes of the fermentation process effectively.展开更多
大规模风电并网导致电力系统惯量和一次调频响应资源减少,大扰动下系统频率安全问题突出。为应对风电不确定性和系统惯量降低的挑战,提出计及风电频率支撑能力和运行风险的鲁棒机组组合(unitcommitment,UC)模型。首先,通过系统发生有功...大规模风电并网导致电力系统惯量和一次调频响应资源减少,大扰动下系统频率安全问题突出。为应对风电不确定性和系统惯量降低的挑战,提出计及风电频率支撑能力和运行风险的鲁棒机组组合(unitcommitment,UC)模型。首先,通过系统发生有功扰动后频率偏差动力学摆动方程建立频率安全的运行约束模型,并嵌入到UC问题中。其次,考虑到风电出力不确定性,提出风电出力鲁棒可行域定义以表征系统接纳风电的安全运行范围,并基于此提出系统运行风险模型。最后,基于两阶段鲁棒优化理论提出计及风电频率支撑能力和运行风险的UC鲁棒优化模型,并采用列和约束生成(column and constraint generation,C&CG)算法求解该模型。在IEEE9和IEEE118节点测试系统进行仿真分析,结果验证了所提模型的有效性。展开更多
The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of science.Tremendous unstructured COVID-19 publications make it challenging for policymakers t...The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of science.Tremendous unstructured COVID-19 publications make it challenging for policymakers to obtain relevant evidence.Knowledge graphs(KGs)can formalize unstructured knowledge into structured form and have been used in supporting decision-making recently.Here,we introduce a novel framework that can ex-tract the COVID-19 public health evidence knowledge graph(CPHE-KG)from papers relating to a modelling study.We screen out a corpus of 3096 COVID-19 modelling study papers by performing a literature assessment process.We define a novel annotation schema to construct the COVID-19 modelling study-related IE dataset(CPHIE).We also propose a novel multi-tasks document-level information extraction model SS-DYGIE++based on the dataset.Leveraging the model on the new corpus,we construct CPHE-KG containing 60,967 entities and 51,140 rela-tions.Finally,we seek to apply our KG to support evidence querying and evidence mapping visualization.Our SS-DYGIE++(SpanBERT)model has achieved a F1 score of 0.77 and 0.55 respectively in document-level entity recognition and coreference resolution tasks.It has also shown high performance in the relation identification task.With evidence querying,our KG can present the dynamic transmissions of COVID-19 pandemic in different countries and regions.The evidence mapping of our KG can show the impacts of variable non-pharmacological interventions to COVID-19 pandemic.Analysis demonstrates the quality of our KG and shows that it has the potential to support COVID-19 policy making in public health.展开更多
全面提升应急保障能力是统筹高质量发展与高水平安全的必然要求,也是提升我国物流业韧性的前提。实践中,面对管理环境与技术环境的双重变革,强化供应链成员之间的应急联动响应和释放数字技术赋能潜力成为完善应急物流体系的抓手。为了...全面提升应急保障能力是统筹高质量发展与高水平安全的必然要求,也是提升我国物流业韧性的前提。实践中,面对管理环境与技术环境的双重变革,强化供应链成员之间的应急联动响应和释放数字技术赋能潜力成为完善应急物流体系的抓手。为了阐明联动响应和数字技术赋能对应急运作决策的影响,本文构建由一个物流服务集成商(logistics service integrator,LSI)和一个物流服务提供商(logistics service provider,LSP)组成的物流服务供应链,分析需求和成本扰动下的最优应急运作决策结果。研究结果表明:第一,物流服务供应链中的集成商引领联动程度和提供商引领联动程度对应急服务定价、应急保障能力等最优决策以及消费者剩余具有正向影响。与直觉相反,即使联动响应成本被控制在合理水平,若无法设置恰当的价格分成比例,增强联动响应程度依然会导致供应链成员利润受损。第二,数字技术赋能程度对成员最优决策以及消费者剩余具有正向影响,其对LSI利润的影响取决于数字技术赋能的投资系数,对LSP利润的影响与消费者价格敏感程度相关。当消费者价格敏感程度相对较高时,LSP更有动力采用数字技术赋能实现降本增效。第三,应急情境下的需求扰动对最优决策、成员利润以及消费者剩余具有正向影响,成本扰动则对最优决策、LSI利润和消费者剩余具有负向影响。若消费者的价格敏感程度较低,LSP的利润反而会随成本扰动程度递增。展开更多
文摘BACKGROUND The participation of caregivers,who play a crucial role in the recovery of patients with gastrointestinal tumors,in family nutrition support decisions can help tailor nutrition plans to meet the specific needs and lifestyle habits of the patient,thereby enhancing the effectiveness of nutritional intake.AIM To assess the impact of caregiver-shared decision-making in family nutritional support with mindfulness-based behavioral therapy on the risk of malnutrition and mood states in patients with gastrointestinal tumors.METHODS Patients with gastrointestinal tumors(n=118)treated at the Jiangnan University Affiliated Hospital between December 2021 and March 2024 were assigned to the observation(n=59)and control(n=59)groups using the random number table method.In addition to the standard treatment and basic nursing measures im-plemented in the control group,the integrated approach was implemented in the observation group.The nutritional and mood state indicators,compliance,and satisfaction before and 6 months after implementing the intervention were com-pared between the groups.RESULTS The body mass index,serum albumin levels,and transferrin levels,as well as the scores for all seven dimensions of the Profile of Mood States questionnaire,in the observation were higher than those in the control group after the 6-month follow-up period(P<0.05).However,the Nutrition Risk Screening 2002 and Mindful Attention Awareness Scale scores were lower than those in the control group(P<0.05).The compliance and satisfaction rates were 94.92%and 98.31%,respectively,which were higher than those of the control group(79.66%and 88.14%,respectively;P<0.05).CONCLUSION The implementation of the integrated approach significantly reduced the risk of malnutrition and improved mood states in patients with gastrointestinal tumors.Moreover,the compliance and satisfaction rates were higher.
基金Sponsored by the Natural High-Technology Development Program for CIMS, China(Grant No2001AA15010)
文摘To improve the practicability, suitability and accuracy of the trade-off among time, cost and quality of a process, a method based on resource capability is introduced. Through analyzing the relationship between an activity and its’ supporting resource, the model trades off the time, cost and quality by changing intensity of labor or changing the types of supporting resource or units of labor of resource in a certain time respectively according to the different types of its’ supporting resources. Through contrasting this method with the model of unit time cost corresponding to different quality levels and inter-related linear programming model of time, cost and quality for process optimizing, it is shown that this model does not only cover the above two models but also can describe some conditions the above two models can not express. The method supports to select different function to optimize a process according to different types of its supporting resource.
基金Supported by the National Natural Science Foundation of China(20676013,61240047)
文摘The approaches to discrete approximation of Pareto front using multi-objective evolutionary algorithms have the problems of heavy computation burden, long running time and missing Pareto optimal points. In order to overcome these problems, an approach to continuous approximation of Pareto front using geometric support vector regression is presented. The regression model of the small size approximate discrete Pareto front is constructed by geometric support vector regression modeling and is described as the approximate continuous Pareto front. In the process of geometric support vector regression modeling, considering the distribution characteristic of Pareto optimal points, the separable augmented training sample sets are constructed by shifting original training sample points along multiple coordinated axes. Besides, an interactive decision-making(DM)procedure, in which the continuous approximation of Pareto front and decision-making is performed interactively, is designed for improving the accuracy of the preferred Pareto optimal point. The correctness of the continuous approximation of Pareto front is demonstrated with a typical multi-objective optimization problem. In addition,combined with the interactive decision-making procedure, the continuous approximation of Pareto front is applied in the multi-objective optimization for an industrial fed-batch yeast fermentation process. The experimental results show that the generated approximate continuous Pareto front has good accuracy and completeness. Compared with the multi-objective evolutionary algorithm with large size population, a more accurate preferred Pareto optimal point can be obtained from the approximate continuous Pareto front with less computation and shorter running time. The operation strategy corresponding to the final preferred Pareto optimal point generated by the interactive DM procedure can improve the production indexes of the fermentation process effectively.
文摘大规模风电并网导致电力系统惯量和一次调频响应资源减少,大扰动下系统频率安全问题突出。为应对风电不确定性和系统惯量降低的挑战,提出计及风电频率支撑能力和运行风险的鲁棒机组组合(unitcommitment,UC)模型。首先,通过系统发生有功扰动后频率偏差动力学摆动方程建立频率安全的运行约束模型,并嵌入到UC问题中。其次,考虑到风电出力不确定性,提出风电出力鲁棒可行域定义以表征系统接纳风电的安全运行范围,并基于此提出系统运行风险模型。最后,基于两阶段鲁棒优化理论提出计及风电频率支撑能力和运行风险的UC鲁棒优化模型,并采用列和约束生成(column and constraint generation,C&CG)算法求解该模型。在IEEE9和IEEE118节点测试系统进行仿真分析,结果验证了所提模型的有效性。
基金This work was supported in part by the National Natural Science Foundation of China(Grants No.72025404 and No.71621002)Bei-jing Natural Science Foundation(L192012)Beijing Nova Program(Z201100006820085).
文摘The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of science.Tremendous unstructured COVID-19 publications make it challenging for policymakers to obtain relevant evidence.Knowledge graphs(KGs)can formalize unstructured knowledge into structured form and have been used in supporting decision-making recently.Here,we introduce a novel framework that can ex-tract the COVID-19 public health evidence knowledge graph(CPHE-KG)from papers relating to a modelling study.We screen out a corpus of 3096 COVID-19 modelling study papers by performing a literature assessment process.We define a novel annotation schema to construct the COVID-19 modelling study-related IE dataset(CPHIE).We also propose a novel multi-tasks document-level information extraction model SS-DYGIE++based on the dataset.Leveraging the model on the new corpus,we construct CPHE-KG containing 60,967 entities and 51,140 rela-tions.Finally,we seek to apply our KG to support evidence querying and evidence mapping visualization.Our SS-DYGIE++(SpanBERT)model has achieved a F1 score of 0.77 and 0.55 respectively in document-level entity recognition and coreference resolution tasks.It has also shown high performance in the relation identification task.With evidence querying,our KG can present the dynamic transmissions of COVID-19 pandemic in different countries and regions.The evidence mapping of our KG can show the impacts of variable non-pharmacological interventions to COVID-19 pandemic.Analysis demonstrates the quality of our KG and shows that it has the potential to support COVID-19 policy making in public health.
文摘全面提升应急保障能力是统筹高质量发展与高水平安全的必然要求,也是提升我国物流业韧性的前提。实践中,面对管理环境与技术环境的双重变革,强化供应链成员之间的应急联动响应和释放数字技术赋能潜力成为完善应急物流体系的抓手。为了阐明联动响应和数字技术赋能对应急运作决策的影响,本文构建由一个物流服务集成商(logistics service integrator,LSI)和一个物流服务提供商(logistics service provider,LSP)组成的物流服务供应链,分析需求和成本扰动下的最优应急运作决策结果。研究结果表明:第一,物流服务供应链中的集成商引领联动程度和提供商引领联动程度对应急服务定价、应急保障能力等最优决策以及消费者剩余具有正向影响。与直觉相反,即使联动响应成本被控制在合理水平,若无法设置恰当的价格分成比例,增强联动响应程度依然会导致供应链成员利润受损。第二,数字技术赋能程度对成员最优决策以及消费者剩余具有正向影响,其对LSI利润的影响取决于数字技术赋能的投资系数,对LSP利润的影响与消费者价格敏感程度相关。当消费者价格敏感程度相对较高时,LSP更有动力采用数字技术赋能实现降本增效。第三,应急情境下的需求扰动对最优决策、成员利润以及消费者剩余具有正向影响,成本扰动则对最优决策、LSI利润和消费者剩余具有负向影响。若消费者的价格敏感程度较低,LSP的利润反而会随成本扰动程度递增。
