Master surgery scheduling with consideration of multiple downstream units

We consider a master surgery scheduling (MSS) problem in which block operating room (OR) time is assigned to different surgical specialties. While many MSS approaches in the literature consider only the impact of the MSS on operating theater and operating staff, we enlarge the scope to downstream resources, such as the intensive care unit (ICU) and the general wards required by the patients once they leave the OR. We first propose a stochastic analytical approach, which calculates for a given MSS the exact demand distribution for the downstream resources. We then discuss measures to define downstream costs resulting from the MSS and propose exact and heuristic algorithms to minimize these costs.     

A branch and bound based heuristic for makespan minimization of washing operations in hospital sterilization services

In this paper, we address the problem of parallel batching of jobs on identical machines to minimize makespan. The problem is motivated from the washing step of hospital sterilization services where jobs have different sizes, different release dates and equal processing times. Machines can process more than one job at the same time as long as the total size of jobs in a batch does not exceed the machine capacity. We present a branch and bound based heuristic method and compare it to a linear model and two other heuristics from the literature. Computational experiments show that our method can find high quality solutions within short computation time.     

A generalized linear model with smoothing effects for claims reserving

In this paper, we continue the development of the ideas introduced in England and Verrall (2001) by suggesting the use of a reparameterized version of the generalized linear model (GLM) which is frequently used in stochastic claims reserving. This model enables us to smooth the origin, development and calendar year parameters in a similar way as is often done in practice, but still keep the GLM structure. Specifically, we use this model structure in order to obtain reserve estimates and to systemize the model selection procedure that arises in the smoothing process. Moreover, we provide a bootstrap procedure to achieve a full predictive distribution.     

Fatigue crack growth model for assessing reliability of box-girders for cable-stayed bridge combining SHMS with strain data

Enhancement of the computer algorithm developed for the Runyang cable-stayed bridge (RYCB) in China is made by incorporating the fatigue crack growth analysis in contrast to the SN curve approach. Strain data obtained from the structural health monitoring system (SHMS) and finite element calculations are used. This provides the application of a deterministic method in addition to the probabilistic approach with the added feature of crack growth. The choice of selecting the two-parameter fatigue crack growth criterion was based on the definition of reliability index β such that the new results can be compared with those using the SN curves. A gradual drop of the reliability index β with time with an upper limit was obtained for the crack growth model in contrast to the linear time relation for the SN curve model that had no upper limit. This difference is significant and reveals the importance for selecting the fatigue failure criterion. Deterministic and probabilistic crack growth models are used to assess the differences. The results are based on the box-girder component strain history data of the Runyang Cable-stayed Bridge (RYCB) in China, stress history recorded by structural health monitoring system (SHMS) is analyzed using the monitored stress amplitude, mean stress and stress ratio. Finite element calculations are used to supplement data at locations not accessible for measurements. Additional improvement with reference to damage accumulation and the physical meaning of the reliability index will be studies in relation to the fatigue damage of box-girder of long cable-stayed bridges.     

超高效液相色谱串联质谱快速测定饮用水中9种N-亚硝胺的新方法

N-亚硝胺是潜在的人类致癌物,是近年来关注的一类饮用水消毒副产物,同时也是环境分析研究的热点.本文建立了超高效液相色谱(UPLC)串联质谱快速测定饮用水中9种N-亚硝胺的新方法,讨论了色谱柱和流动相对分离9种N-亚硝胺的影响,优化了多级反应质谱(MRM,MS/MS)条件.二甲基亚硝胺-d6为贮存和回收率内标,亚硝基二丙...     

采用单个压电传感器的单模式兰姆波激发频率的选择

考虑了压电传感器(PZT)与板之间的耦合作用,从理论上研究了单个压电传感器激发时产生单模式兰姆波的频率调节方法,实验给出了模式选择在兰姆波结构健康监测中的应用. 在板材、板厚以及PZT尺寸一定的情况下,从理论上能够预测到作为频率函数的各兰姆波模式的幅值变化. 根据某特定兰姆波模式的幅值最大而其他模式幅值相对最小时所对应的频率,即可识别出该兰姆波模式优化的激发频率. 数值仿真验证了理论的有效性以及单模式兰姆波选择的可能性. 在不同的激发频率下,分别激发了优化的A0 模式,优化的S0模式以及共存的A0和S0模 关键词： 兰姆波 压电传感器 激发频率 结构健康监测     

城镇居民体育健身行为整合理论模型的构建与系列实证

建立并验证基于计划行为理论和健康信念模式的城镇居民体育健身行为的整合模型;采用问卷调查、数理统计、结构方程模型等方法,针对部分城镇居民干预试验的基线数据建立计划行为理论和健康信念模式整合模型,同时利用追踪调查数据对模型进行验证和修正;主观控制感、行为意向是影响行为发生的重要因素,行为益处认知是帮助克服行为障碍认知和促进行为发生的重要因素;整合模型对居民体育健身行为具有较好的解释作用,并可以据此进行重点因素干预.     

飞机综合健康管理系统的应用与发展

飞机综合健康管理技术的应用对于提高飞机的安全性、维护性、降低运营成本等具有重要意义。本文通过对相关文献的整理,归纳和总结了飞机综合健康管理系统的含义,梳理了飞机综合健康管理系统发展过程,并以综合健康管理系统在B787、A380以及F-35飞机的应用为典型案例,从系统架构、功能组成等方面详细阐述了综合健康管理系统在民用和军用飞机上的最新应用,最后对飞机综合健康管理系统的发展趋势进行了探讨和展望。希望通过本文能够使读者对飞机综合健康管理技术的发展历程、最新技术水平以及未来发展方向有更加详尽的了解,对我国开展相关技术领域的研究提供有力的帮助。     

重复使用运载器预测与健康管理PHM技术研究

为了实现传统一次性运载火箭的可重复使用特性,提高重复使用运载器的安全性、可靠性及维修保障性,破解重复使用运载器研制难度大、技术风险高的难题,研究了一种重复使用运载器的预测与健康管理系统方案;该系统采用一种“机载-地面”辅助决策的系统设计方案,机载部分采用分层分布式的系统架构设计方案,地面部分采用区域管理和综合调度的设计方案,有效实现运载器在线式健康状态监测与诊断;重复使用运载器预测与健康管理设计方案的应用,确保运载器在全寿命周期内,实现在线实时故障检测、故障预测和健康评估,为故障处理、维修保障和系统操作优化提供决策支持,显著提升了重复使用运载器的安全性、可靠性、保障性和效费比。     

基于物联网技术的人体云健康监护及预警系统

针对传统医疗监护系统存在导联线过多,用户活动受限,预警、就医指导不足等问题。设计了基于基于物联网技术的人体云健康监护及预警系统,该系统以智能手机为预警显示平台,并结合穿戴式测技术和无线通信技术能有效实现多项生理参数的无创采集、移动传输、智能处理以及语音智能控制、预警等功能。实验表明该系统具有操作简单,可扩展性强、使用效果优等特点,为肢体残障者疾病预警提供了技术支撑,为个人、家庭、社区监护和远程医疗创造了条件。