INTELLIGENT TOOLS FOR PREDICTING ANXIETY OF ALZHEIMER'S PATIENTS

Objective To predict the incidence of anxiety in Alzheimer's disease (AD) patients by using machine-learning models. Methods A large randomized controlled clinical trial was analyzed in this study, which involved AD patients and caregivers from 6 different sites in the United States. The incidence of anxiety in AD patients was predicted by backpropagation artificial neural networks and several machine learning models, including Bayesian Networks, logistic regression, ADTree, J48, and Decision table. Results Among all models for predicting the incidence of anxiety in AD patients, the artificial neural network with respectively 6 and 3 neurons in the first and second hidden layers achieved the highest predictive accuracy of 85.56 %. The decision tree revealed three main risk factors: "caregiver experiencing psychological distress", "caregiver suffering from chronic disease or cancer", and "lack of professional care service". Conclusion The unique ability of artificial neural networks on classifying nonlinearly separable problems may substantially benefit the prediction, prevention and early intervention of anxiety in Alzheimer's patients. Decision tree has the double efficacy of predicting the incidence and discovering the risk factors of anxiety in Alzheimer's patients. More resources should be provided to caregivers to improve their mental and physical health, and more professional care services should be adopted by Alzheimer's families.     

复合混凝剂处理印染废水

聚合硫酸铝，聚合硫酸铁，以及更为复杂的聚合硫酸铝铁作混凝剂处理COD为3000mg/L,SS为300mg/L左右的印染废水的最佳工艺条件是:pH范围为7．0－9．5，搅拌速度为180r/min，一次处理混凝剂投加量为300mg/L，沉降时间为15min。COD去除率在80％左右，若再经双层滤料柱进行过滤处理，效果更好，能达到排效标准。     

Tool Wear Prediction in Micro-end-milling with Hard Material

The applications of micro-machining have increased drastically in the last ten years. However, tools with less than 1mm diameter using for micro-mills have very short and unpredictable life when they are used to cut hard metals. In this study, preliminary design of experiment (DOE) test program was conducted to investigate and identify the factors affecting tool wear at the micro-scale with hard material. Analysis of variance (ANOVA) and Taguchi method were efficient to determine appropriate cutting condition and the effect of parameters. A simple model was also developed to predict the width of slots on the workpiece along the cutting length. The obtained results can provide the basic guidelines for parameter setting of micro-end-milling with hard material.     

岩石压剪裂纹水力劈裂分析及裂纹面方向计算

水力劈裂技术在岩土工程中应用越来越广泛,但自然界中的水力劈裂可能会引发地质灾害,因此,水力劈裂机理研究已成为岩土工程中的热点问题。通过利用断裂力学理论对水力劈裂时裂纹的扩展问题进行研究,推导了基于最大周向应力理论的裂纹起裂角及临界水压的计算公式,分析了压剪复合断裂时临界水压力与裂纹面方向之间的关系,在此基础上得出了压剪断裂时最易于发生水力劈裂的裂纹面位置。     

沥青路面裂缝扩缝机的研制

较窄的沥青路面裂缝修补前应先行扩缝,这是保证其修补质量的必要条件。而扩缝设备有关整机驱动及切缝、刀具和行走装置的结构及参数选择是其研制成功作业的关键。LK10在这些方面做了有益的探讨。     

水泥混凝土路面裂缝成因分析及预防措施

系统分析水泥混凝土路面裂缝产生的原因,并提出相应的预防及控制措施.     

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针对传统四阶段法不太适合长大铁路干线需求预测的实际，通过时四阶段需求预测方法及各种模型的改造，建立了一套适合我国铁路项目客运量预测的预测方法和程序.通过对京沪高速铁路的具体应用，论文就参数标定方法和应注意的问题提出了一些研究结论。     

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分析了摩托车运行特性、安全特性及其对城市交通和环境的影响，并基于广义费用建立了摩托车及其可替代方式的出行成本模型。以江门市区摩托车交通为例，通过对居民出行和社会经济状况的调查，得到摩托车交通的出行特征，应用广义费用模型估算出各种交通方式的出行成本，提出了可行的发展对策，供决策者参考。     

Identification of Dynamic Parameters Based on Pseudo-Parallel Ant Colony Optimization Algorithm

IntroductionReal ants are capable of finding the shortest pathfrom a food source to the nest. Inspired by this factand the behavior of ant colonies, a novel optimizationalgorithm called ant system (AS) was first developedby Dorigo in1992[1]. In the following years, diversemodifications of the AS algorithm were made andapplied to many different types of optimization prob-lems, and satisfactory results were obtained. Re-cently, the AS algorithm has been extended to an al-gorithm for solving d…     

大型航空港设计布局评价指标的探讨

对大型航空港设计布局过程中的评价指标进行探讨,结合资源节约、环境保护、以人为本等可持续发展理念,对现有大型航空港的评价指标进行分析.结果表明,已有的评价指标主要关注容量、安全和成本,这些指标在现有的航空港设计布局中仍然适用,但对环境污染、飞机油耗、旅客效率等因素的考虑有许多欠缺之处.通过分析,针对航空港的陆侧和空侧分别探讨了符合可持续发展规律的大型航空港设计布局评价指标,建议以容量协调、发动机排放、滑行时间、旅客时间等为核心构建评价指标体系.