Driver behavior formulation in intersection dilemma zones with phone use distraction via a logit-Bayesian network hybrid approach

Use of cellular phone while driving is one of the top contributing factors that induce traffic crashes, resulting in significant loss of life and property. A dilemma zone is a circumstance near signalized intersections where drivers hesitate when making decisions related to their driving behaviors. Therefore, the dilemma zone has been identified as an area with high crash potential. This article utilizes a logit-based Bayesian network (BN) hybrid approach to investigate drivers' decision patterns in a dilemma zone with phone use, based on experimental data from driving simulations from the National Advanced Driving Simulator (NADS). Using a logit regression model, five variables were found to be significant in predicting drivers' decisions in a dilemma zone with distractive phone tasks: older drivers (50–60 years old), yellow signal length, time to stop line, handheld phone tasks, and driver gender. The identified significant variables were then used to train a BN model to predict drivers' decisions at a dilemma zone and examine probabilistic impacts of these variables on drivers' decisions. The analysis results indicate that the trained BN model was effective in driver decision prediction and variable influence extraction. It was found that older drivers, a short yellow signal, a short time to stop line, nonhandheld phone tasks, and female drivers are factors that tend to result in drivers proceeding through intersections in a dilemma zone with phone use distraction. These research findings provide insight in understanding driver behavior patterns in a dilemma zone with distractive phone tasks.     

Wind pressure distribution and wind-induced dynamic response for spatial groined latticed vaults

The wind pressure distribution and wind-induced vibration responses of long-span spatial groined latticed vaults (SGLVs) were numerically simulated, which always are ones of the most important problems in the structural wind resistance design. Incompressible visco-fluid model was introduced, and the standard k-εtwo equation model and semi-implicit method for pressure linked equation (SIMPLE) were used to describe the flow turbulence. Furthermore, the structural dynamic equation was set up, which is solved by Newmark-β method. And several sort of wind-induced vibration coefficients such as the wind-induced vibration coefficient corresponding to the nodal displacement responses and wind loads were suggested. In the numerical simulation where the SGLV consisting of the cylindrical sectors with different curved surface was chosen as the example,the influence on the relative wind pressure distribution and structural wind-induced vibration responses of the closed or open SGLV caused by such parameters as the number of cylindrical sectors, structural curvature and the ratio of rise to span was investigated. Finally, some useful conclusions on the local wind pressure distribution on the structural surface and the wind-induced vibration coefficients of SGLV were developed.     

内河航道横流对船舶航行的影响

为了使船舶能安全通过航道内的横流区域, 利用水槽进行遥控自航船模试验, 提出了内河航道横流对船舶航行横漂速度、漂角、航迹带宽度和漂距影响的经验公式, 分析了Ⅳ与Ⅴ级航道横向流速的限值范围。分析结果表明: 横流对船舶航行的影响程度主要与对岸航速成反比, 与横流的大小及区域长度成正比, 与船型大小(航道等级)成反比, 同时与驾驶员的航行经验和初始船位有关; 在限制航路航行方式过程中, Ⅳ与Ⅴ级航道对岸航速为2、3、4m·s^-1时, 可克服的一个船长内横流限值为0.48、0.58、0.70m·s^-1。     

龙城大桥钢索塔竖转施工关键技术

龙城大桥索塔为钢索塔,材质采用Q345qc和Q420qd两种钢材组焊而成。出于对高空索塔节段接缝、焊接质量问题的考虑,索塔采用了在桥面上节段组拼后进行竖转施工的技术。在竖转施工时,应考虑变形的影响及焊接对索塔偏位的影响。     

他汀类调脂药和ACEI对急性冠脉综合征患者血清中炎性指标的影响

目的　观察他汀类调脂药和血管紧张素转化酶抑制剂 (angiotensin convertingenzymeinhibitor ,ACEI)对急性冠脉综合征患者血清中炎性指标的影响。方法　选取急性冠脉综合征 (acutecoronarysyndrome ,ACS)患者 6 0例 ,随机分为调脂治疗组和ACEI+调脂治疗组 ,在 4个月后进行随访。采用酶联免疫法测定上述病例和对照血清中一些炎性指标的水平 ,并进行统计学分析。结果　血清中某些炎性因子在ACS组中高于对照组 ,并在随访时明显降低。 4个月后所有炎性指标在调脂治疗组和ACEI+调脂治疗组之间均无显著性差异。结论　血清中某些炎性因子的水平可以作为诊断和预测ACS发生的敏感指标 ,并反应病情的稳定情况 ;ACEI药物在短期内对炎性反应的作用不明显     

白细胞介素-12对哮喘患者Th细胞的作用

目的　观察白细胞介素 12 (IL 12 )对哮喘患者辅助性T淋巴细胞 (Th)的分化和细胞因子分泌的影响 ,探讨IL 12对哮喘治疗的机制及应用。方法　从哮喘患者外周血分离出单核细胞和CD4 + T(Th)细胞 ,单核细胞被尘螨变应原刺激活化后同CD4 + T细胞分别与 1μg·L-1和 5 μg·L-1IL 12共培养 ,对照组不加IL 12。 72h后收集培养上清 ,ELISA法检测IL 4、IL 5和IFN γ的生成量。培养细胞用荧光标记的单克隆抗体染色 ,流式细胞仪 (FCM)检测细胞内特异性细胞因子。结果　与对照组相比 ,实验组IL 4、IL 5的产生量明显减少 ,IFN γ的产生量显著增加 (P <0 .0 1) ,而且这种变化趋势在 1μg·L-1、5 μg·L-1IL 12间也有统计学差异 (P <0 .0 5 )。实验组Th1/Th2向Th1方向漂移 ,Th1/Th2增加 (P<0 .0 1)。结论　IL 12可调节Th的分化方向及不同类型细胞因子的分泌 ,并在一定浓度范围内呈量效依赖性。提示IL 12可作为一种新的哮喘治疗途径     

甲状腺癌组织端粒酶逆转录酶和P53基因表达及其临床意义

目的　探讨端粒酶逆转录酶 (hTERT)和P5 3基因与甲状腺癌的发生、发展及预后的关系以及它们的相互关系。方法　应用免疫组织化学SP法检测 6 0例甲状腺癌、10例正常甲状腺组织、10例结节性甲状腺肿及 10例甲状腺腺瘤组织中hTERT和P5 3的表达。结果　hTERT和P5 3阳性率在甲状腺癌中增高 (P <0 .0 5 ) ;hTERT与P5 3阳性率在未分化癌、有淋巴结转移或Ⅲ、Ⅳ期病例中增高 (P <0 .0 5 ) ;hTERT表达与P5 3表达具有相关性 (P <0 .0 5 )。结论　hTERT与P5 3的过度表达在甲状腺癌的发生发展过程中具有重要作用 ,P5 3突变在转录水平上调控hTERT基因的表达 ,激活端粒酶可能是甲状腺癌发生发展的重要阶段 ;hTERT和P5 3在甲状腺癌中表达的变化可用于评估其生物学行为和判断预后。     

抑郁症患者血清甲状腺激素水平变异分析

目的　了解血清甲状腺激素水平与抑郁症的关系。方法　对 6 4例门诊及住院抑郁症患者中双相抑郁障碍 34例、单相抑郁障碍 30例治疗前后血清三碘甲状腺原氨酸 (T3 )、甲状腺素 (T4)和促甲状腺激素 (TSH)进行检测 ,同时以30名健康志愿者作为对照组。治疗前后应用汉密尔顿抑郁量表 (HAMD)和Montgomery Asbery抑郁量表 (MADRS) ,评定抑郁症状的严重程度。结果　患者组治疗前后T3 [(1.98± 0 .5 2 )nmol·L-1,(1.90± 0 .5 8)nmol·L-1]均明显高于对照组 [(1.5 8± 0 .2 7)nmol·L-1],单相抑郁障碍患者治疗后T4[(93.4 1± 2 9.4 1)nmol·L-1]低于治疗前 [(10 4± 2 0 .2 4 )nmol·L-1],并恢复到正常范围 ,HAMD和MADRS评分也随之明显下降。结论　提示抑郁症患者甲状腺激素水平改变与症状的消失有关 ,甲状腺激素异常是继发于情绪障碍 ,双相抑郁障碍与单相抑郁障碍在病因学方面可能不同。     

THE GENE EXPRESSION OF BDNF IN NORMAL RABBIT RETINA

Objective To investigate the distribution of brain-derived neurotrophic factor(BDNF) protein in the rabbit retina. Methods Immune response material in the retina was observed using BDNF antibody by the method of immunohistochemistry. Results BDNF gene expression was mainly found in the RGCs, also in innernuclei cells and outernuclei cells in rabbit retina. Conclusion RGC is not only the target cell of BDNF, but also express the BDNF protein. BDNF from multi-sources participates in the regulation of RGCs.     

Decomposing and Cluster Refinement Design Method for Application-Specific Network-on-Chips

Along with higher and higher integration of intellectual properties (IPs) on a single chip, traditional bus-based system-on-chips (SoC) meets several design difficulties (such as low scalability, high power consumption, packet latency and clock tree problem). As a promising solution, network-on-chips (NoC) has been proposed and widely studied. In this work, a novel algorithm for NoC topology synthesis, which is decomposing and cluster refinement (DCR) algorithm, has been proposed to minimize the total power consumption of application-specific NoC. This algorithm is composed of two stages: decomposing with cluster generation, and cluster refinement. For partitioning and cluster generation, an initial low-power solution for NoC topology is generated. For cluster refinement, the clustering is optimized by performing floorplan to further reduce power consumption. Meanwhile, a good tradeoff between power consumption and CPU time can be achieved. Experimental results show that the proposed method outperforms the existing work.