Aortic isthmus Doppler velocimetry: role in assessment of preterm fetal growth restriction

Intrauterine fetal growth restriction (IUGR) is an important pregnancy complication associated with significant adverse clinical outcome, stillbirth, perinatal morbidity and cerebral palsy. To date, no uniformly accepted management protocol of Doppler surveillance that reduces mortality and cognitive morbidity has emerged. Aortic isthmus (AoI) evaluation has been proposed as a potential monitoring tool for IUGR fetuses. In this review, the current knowledge of the relationship between AoI Doppler velocimetry and preterm fetal growth restriction is reviewed. Relevant technical aspects and reproducibility data are reviewed as we discuss AoI Doppler and its place within the existing repertoire of Doppler assessments in placental insufficiency. The AoI is a link between the right and left ventricles which perfuse the lower and upper body, respectively. The clinical use of AoI waveforms for monitoring fetal deterioration in IUGR has been limited, but preliminary work suggests that abnormal AoI impedance indices are an intermediate step between placental insufficiency-hypoxemia and cardiac decompensation. Further prospective studies correlating AoI indices with arterial and venous Doppler indices and perinatal outcome are required before encorporating this index into clinical practice. Copyright © 2010 John Wiley & Sons, Ltd.     

高速公路交通流实时安全性评价

根据多条高速公路近3年的事故数据及实时交通流数据,分析了高速公路运营安全性的相关影响因素,在此基础上提出了车速变异系数指标及其分级标准,建立了考虑交通流量、平均车速、车速变异系数、天气条件等多因素的高速公路交通流运行风险预测多元模型,并提出了高速公路交通流实时行车风险指数TRI指标,制定了交通流状态实时安全性评价标准,最后给出了高速公路交通流混合交通状态下的实时安全风险评价流程。通过西攀高速公路的交通流实时数据,验证了模型的有效性。     

连续长坡路段驾驶员心率与平曲线半径关系研究

为研究公路连续长坡路段驾驶员心率与曲线半径的关系,提高行车安全,选取9名驾驶员进行实际道路试验.用多导生理记录仪采集驾驶员的心率数据,按上、下坡方向将试验路段的每个曲线划分为7个位置,分别对上、下坡方向每个位置驾驶员的心率增长率和曲线半径的关系进行回归分析,建立相应的模型,并对每个位置的模型进行分析,提出合理的曲线半径设置建议.综合上、下坡方向各位置的曲线半径研究结论提出合理的曲线半径取值建议,公路连续长坡路段曲线半径在r≥900 m和200 m≤r≤300 m内取值.     

On-Scene Injury Severity Prediction (OSISP) Algorithm for Truck Occupants

Objective: The aim of this study is to develop an on-scene injury severity prediction (OSISP) algorithm for truck occupants using only accident characteristics that are feasible to assess at the scene of the accident. The purpose of developing this algorithm is to use it as a basis for a field triage tool used in traffic accidents involving trucks. In addition, the model can be valuable for recognizing important factors for improving triage protocols used in Sweden and possibly in other countries with similar traffic environments and prehospital procedures.

Methods: The scope is adult truck occupants involved in traffic accidents on Swedish public roads registered in the Swedish Traffic Accident Data Acquisition (STRADA) database for calendar years 2003 to 2013. STRADA contains information reported by the police and medical data on injured road users treated at emergency hospitals. Using data from STRADA, 2 OSISP multivariate logistic regression models for deriving the probability of severe injury (defined here as having an Injury Severity Score [ISS] > 15) were implemented for light and heavy trucks; that is, trucks with weight up to 3,500 kg and ??16,500 kg, respectively. A 10-fold cross-validation procedure was used to estimate the performance of the OSISP algorithm in terms of the area under the receiver operating characteristic curve (AUC).

Results: The rate of belt use was low, especially for heavy truck occupants. The OSISP models developed for light and heavy trucks achieved cross-validation AUC of 0.81 and 0.74, respectively. The AUC values obtained when the models were evaluated on all data without cross-validation were 0.87 for both light and heavy trucks. The difference in the AUC values with and without use of cross-validation indicates overfitting of the model, which may be a consequence of relatively small data sets. Belt use stands out as the most valuable predictor in both types of trucks; accident type and age are important predictors for light trucks.

Conclusions: The OSISP models achieve good discriminating capability for light truck occupants and a reasonable performance for heavy truck occupants. The prediction accuracy may be increased by acquiring more data. Belt use was the strongest predictor of severe injury for both light and heavy truck occupants. There is a need for behavior-based safety programs and/or other means to encourage truck occupants to always wear a seat belt.     

驾驶员雨中面对不同颜色障碍物时制动点选择研究

为研究雨天驾驶员对障碍物颜色的感知特征,保障雨天驾驶安全,利用仿真驾驶平台,研究大雨、中雨、小雨3种状况下,驾驶员面对红、白、黑3种颜色障碍物时的鸣笛点(与障碍物距离设为L1)、刹车点(与障碍物距离设为L2)的选择和行驶初速度(V1)与通过障碍物最小速度(V2)的关系。最后,依据模拟驾驶采集得到的23位驾驶员经过各颜色障碍物的驾驶数据,通过SPSS分析L2,V1的拟合关系,结合安全制动距离模型,建立不同雨量下驾驶员受障碍物颜色影响的行车安全模型。结果表明:运行速度相同时,红色障碍物对应的L1,L2值明显大于黑色和白色对应的值;面对同种颜色的障碍物时,随着雨量的增加,V2值不断减小,而V1越大,V2值越大。     

绿灯倒计时信号对驾驶行为的影响

为揭示绿灯倒计时信号对交叉口交通安全的影响,针对不同交通负荷与信号控制方式下的驾驶行为开展研究。选择大连市内的倒计时信号交叉口与非倒计时信号交叉口各2处,开展车辆行驶速度及不良驾驶行为调查。用数理统计方法,对比分析2类交叉口在平峰与高峰时段的车辆行驶速度特性,同时对比分析上述不同条件下闯黄灯及违规变道行为的发生数量。研究表明,绿灯倒计时信号在绿灯时间末期,会诱发一部分驾驶员加速行驶通过交叉口;绿灯倒计时信号在平峰时段对闯黄灯行为数量的影响较小,而对违规变道行为的数量有显著影响。     

衡水市道路交通环境颗粒物污染特性及控制对策研究

针对衡水市机动车污染问题,本文选择衡水市代表性路段,对其进行了实验,如采样点的确定、采样时间和频率、监测方法及标准和使用的实验仪器,得到了结果与分析,如交通环境中PM10和TSP的变化特征、PM10/TSP比值和交通环境中PM10和TSP的影响因素分析,并提出衡水市道路交通环境空气污染控制措施,主要是完善城市交通和城市规划、城市绿化、发展清洁能源、完善管理体制和加强交通管理宣传教育,给出了切实可行的改善和控制措施.