Behavioral pathways in bicycle-motor vehicle crashes: From contributing factors,pre-crash actions,to injury severities

Introduction: This study performed a path analysis to uncover the behavioral pathways (from contributing factors, pre-crash actions to injury severities) in bicycle-motor vehicle crashes. Method: The analysis investigated more than 7,000 bicycle-motor vehicle crashes in North Carolina between 2007 and 2014. Pre-crash actions discussed in this study are actions of cyclists and motorists prior to the event of a crash, including “bicyclist failed to yield,” “motorist failed to yield,” “bicyclist overtaking motorist,” and “motorist overtaking bicyclist.” Results: Model results show significant correlates of pre-crash actions and bicyclist injury severity. For example, young bicyclists (18 years old or younger) are 23.5% more likely to fail to yield to motor traffic prior to the event of a crash than elder bicyclists. The “bicyclist failed to yield” action is associated with increased bicyclist injury severity than other actions, as this behavior is associated with an increase of 5.88 percentage points in probability of a bicyclist being at least evidently injured. The path analysis can highlight contributing factors related to risky pre-crash actions that lead to severe injuries. For example, bicyclists traveling on regular vehicle travel lanes are found to be more likely to involve the “bicyclist failed to yield” action, which resulted in a total 44.38% (7.04% direct effect + 37.34% indirect effect) higher likelihood of evident or severe injuries. The path analysis can also identify factors (e.g., intersection) that are not directly but indirectly correlated with injury severity through pre-crash actions. Practical Applications: This study offers a methodological framework to quantify the behavioral pathways in bicycle-motor vehicle crashes. The findings are useful for cycling safety improvements from the perspective of bicyclist behavior, such as the educational program for cyclists.     

碘代乙酸体外暴露诱导斑马鱼(Danio rerio)淋巴细胞内源性凋亡可能机理研究

以斑马鱼(Danio rerio)为试验生物,经淋巴细胞体外暴露试验,从细胞内源性凋亡角度,研究了饮用水消毒副产物—碘代乙酸诱导斑马鱼淋巴细胞损伤的致毒机理.结果表明,在碘代乙酸的环境浓度1μg·L-1下暴露24、36、48和96 h后,细胞凋亡率从对照组的3.52%分别增加到15.89%、22.47%、40.76%和52.13%,与对照组差异均为极显著(p0.01);线粒体膜电位分别较对照组下降了32.9%、50.1%、68.6%和81.5%,与对照组差异均为极显著(p0.01);细胞色素C的相对释放量分别增加了0.85、1.37、1.86和2.66倍,与对照组差异均为极显著(p0.01).暴露36、48和96 h后,Caspase-3酶活性分别增加了0.49、0.86和1.43倍,与对照组差异均为极显著(p0.01);Caspase-9酶活性分别增加了0.73、1.41和1.88倍,与对照组差异均为极显著(p0.01);抑制凋亡Bcl-2基因的相对表达量分别下降27.0%、35.3%和52.3%,与对照组差异均为极显著(p0.01);而促进凋亡的Bax基因相对表达量分别增加1.1、2.3和3.2倍,与对照组差异均为极显著(p0.01).碘代乙酸体外诱导斑马鱼淋巴细胞凋亡的可能机制是,线粒体膜电位的崩溃导致细胞色素C持续从线粒体中释放,进而引起细胞凋亡下游通路的变化;Bcl-2基因和Bax基因明显参与了对凋亡的调控.此外,Caspase-9酶的活化导致Caspase-3酶活化,最终引起细胞凋亡.     

Insights into the electron transfer mechanisms of permanganate activation by carbon nanotube membrane for enhanced micropollutants degradation

● A CNT filter enabled effective KMnO₄ activation via facilitated electron transfer. ● Ultra-fast degradation of micropollutants were achieved in KMnO₄/CNT system. ● CNT mediated electron transfer process from electron-rich molecules to KMnO₄. ● Electron transfer dominated organic degradation. Numerous reagents have been proposed as electron sacrificers to induce the decomposition of permanganate (KMnO₄) by producing highly reactive Mn species for micropollutants degradation. However, this strategy can lead to low KMnO₄ utilization efficiency due to limitations associated with poor mass transport and high energy consumption. In the present study, we rationally designed a catalytic carbon nanotube (CNT) membrane for KMnO₄ activation toward enhanced degradation of micropollutants. The proposed flow-through system outperformed conventional batch reactor owing to the improved mass transfer via convection. Under optimal conditionals, a > 70% removal (equivalent to an oxidation flux of 2.43 mmol/(h·m²)) of 80 μmol/L sulfamethoxazole (SMX) solution can be achieved at single-pass mode. The experimental analysis and DFT studies verified that CNT could mediate direct electron transfer from organic molecules to KMnO₄, resulting in a high utilization efficiency of KMnO₄. Furthermore, the KMnO₄/CNT system had outstanding reusability and CNT could maintain a long-lasting reactivity, which served as a green strategy for the remediation of micropollutants in a sustainable manner. This study provides new insights into the electron transfer mechanisms and unveils the advantages of effective KMnO₄ utilization in the KMnO₄/CNT system for environmental remediation.     

Low-temperature caproate production,microbial diversity,and metabolic pathway in xylose anaerobic fermentation

● Converting xylose to caproate under a low temperature of 20 °C by MCF was verified. ● Final concentration of caproate from xylose in a batch reactor reached 1.6 g/L. ● Changing the substrate to ethanol did not notably increase the caproate production. ● Four genera, including Bifidobacterium , were revealed as caproate producers. ● The FAB pathway and incomplete RBO pathway were revealed via metagenomic analysis. Mixed culture fermentation (MCF) is challenged by the unqualified activity of enriched bacteria and unwanted methane dissolution under low temperatures. In this work, caproate production from xylose was investigated by MCF at a low temperature (20 °C). The results showed that a 9 d long hydraulic retention time (HRT) in a continuously stirred tank reactor was necessary for caproate production (~0.3 g/L, equal to 0.6 g COD/L) from xylose (10 g/L). The caproate concentration in the batch mode was further increased to 1.6 g/L. However, changing the substrate to ethanol did not promote caproate production, resulting in ~1.0 g/L after 45 d of operation. Four genera, Bifidobacterium, Caproiciproducens, Actinomyces, and Clostridium_sensu_stricto_12, were identified as the enriched caproate-producing bacteria. The enzymes in the fatty acid biosynthesis (FAB) pathway for caproate production were identified via metagenomic analysis. The enzymes for the conversion of (C_n+2)-2,3-Dehydroxyacyl-CoA to (C_n+2)-Acyl-CoA (i.e., EC 1.3.1.8 and EC 1.3.1.38) in the reverse β-oxidation (RBO) pathway were not identified. These results could extend the understanding of low-temperature caproate production.     

不同天气形势对南京地区双高污染的输送及潜在源区分析

基于2015~2019年南京细颗粒物（PM_2.5）和臭氧（O₃）逐小时浓度数据,通过T-mode主成分分析法对南京发生PM_2.5和O₃污染同时高浓度并存（双高污染）时的天气形势进行了分型,利用后向轨迹聚类分析法、潜在来源贡献法（PSCF）和浓度权重轨迹分析法（CWT）研究不同天气形势对南京双高污染的输送路径及潜在源区分布.结果表明,有利于南京地区双高污染的天气形势分别为弱的低压型（Type1）和高压中心型（Type2）.天气形势会对后向轨迹的方位来源产生影响.Type1时,南京地区受到东北和西南两个低气压影响,气团的聚类轨迹主要来自东西两个方位,轨迹中ρ（PM_2.5）和ρ（O₃）平均值分别为83.48 μg·m^-3和106.85 μg·m^-3.Type2时,南京及其周边在高压中心边缘,气团聚类轨迹主要来自北方和东方,轨迹中ρ（PM_2.5）和ρ（O₃）平均值分别为94.47 μg·m^-3和92.32 μg·m^-3.同时两种类型后向轨迹绝大部分属于中短距离区域输送,说明周边临近省份的污染是影响南京地区双高污染主要原因之一.PSCF和CWT分析表明,两者高值区域基本保持一致.Type1和Type2两种类型中PM_2.5和O₃的最主要潜在源区均出现分布并不完全一致的情况,表明双高污染中的两种污染物并非来自同一地区.     

吸附存储-间歇放电法氧化甲苯的反应过程研究

以SBA-15为催化剂,对比连续降解法和吸附存储-间歇放电法净化低浓度甲苯的活性,结果表明吸附存储-间歇放电法下甲苯去除率、碳平衡和CO2选择性更高.运用GC-MS分析了2种降解方式催化剂表面中间产物随时间的变化,苯甲醛进一步氧化分解进而打开苯环,是等离子体催化降解甲苯的控制步骤.对比SBA-15、Mn/SBA-15、Ag/SBA-15、AgMn/SBA-15 4种催化剂在吸附存储-间歇放电法下降解甲苯的活性.结果显示Ag和Mn的引入加速了对2-庚烯醇的氧化催化,AgMn/SBA-15表现出最好的碳平衡、CO2选择性.     

中国工业园区低碳发展路径研究

中国政府承诺CO₂排放力争于2030年前达到峰值,努力争取2060年前实现碳中和。在工业部门深化应对气候变化和全面推进绿色转型的背景下,数量庞大的工业园区已然成为"十四五"乃至今后一个时期工业领域实现科学、精准碳减排的关键靶点。本研究首先剖析了中国工业园区低碳发展面临的挑战与机遇;进而以2015年为基准年,面向2035和2050年美丽中国建设两阶段战略目标,研究提出了工业园区碳减排的目标、路径和潜力,以期为园区深化低碳发展提供决策参考。研究显示,2015年中国工业园区CO₂排放总量约为28亿吨,占全国总排放量的31%。通过产业结构调整、能效提升、能源结构优化、碳捕集等低碳路径,2015-2050年全国园区预期可减排CO₂ 18亿吨,在2015年基础上减排60%以上;其中,2015-2035年减排8亿吨,2035-2050年减排10亿吨。     

Viscosities, thermal conductivities and diffusion coefficients of CO2 mixtures: Review of experimental data and theoretical models

Accurate experimental data on the thermo-physical properties of CO₂-mixtures are pre-requisites for development of more accurate models and hence, more precise design of CO₂ capture and storage (CCS) processes. A literature survey was conducted on both the available experimental data and the theoretical models associated with the transport properties of CO₂-mixtures within the operation windows of CCS. Gaps were identified between the available knowledge and requirements of the system design and operation. For the experimental gas-phase measurements, there are no available data about any transport properties of CO₂/H₂S, CO₂/COS and CO₂/NH₃; and except for CO₂/H₂O(/NaCl) and CO₂/amine/H₂O mixtures, there are no available measurements regarding the transport properties of any liquid-phase mixtures. In the prediction of gas-phase viscosities using Chapman–Enskog theory, deviations are typically <2% at atmospheric pressure and moderate temperatures. The deviations increase with increasing temperatures and pressures. Using both the Rigorous Kinetic Theory (RKT) and empirical models in the prediction of gas-phase thermal conductivities, typical deviations are 2.2–9%. Comparison of popular empirical models for estimation of gas-phase diffusion coefficients with newer experimental data for CO₂/H₂O shows deviations of up to 20%. For many mixtures relevant for CCS, the diffusion coefficient models based on the RKT show predictions within the experimental uncertainty. Typical reported deviations of the CO₂/H₂O system using empirical models are below 3% for the viscosity and the thermal conductivity and between 5 and 20% for the diffusion coefficients. The research community knows little about the effect of other impurities in liquid CO₂ than water, and this is an important area to focus in future work.     

Local calibration of coliforms parameters of water quality problem at Igapó I Lake, Londrina, Paraná, Brazil

This article presents results concerning the local calibration of the transport parameters (longitudinal and transversal diffusions and decay coefficient) for a two-dimensional problem of water quality at Igapó I Lake, located in Londrina, Paraná, Brazil, using fecal coliforms as an indicator of water quality. The simulation of fecal coliforms concentrations all over the water body is conducted by means of a structured discretization of the geometry of Igapó I Lake, together with the finite difference and finite element methods. By using the velocity field, modeled by the Navier-Stokes and Poisson equations, the flow of fecal coliforms is described by means of a transport model, which considers advective and diffusive processes, as well as a process of fecal coliforms decay. In the checkpoint, the longitudinal and transversal diffusion coefficients and the coliforms decay coefficient that best fitted the value of the fecal coliforms concentration were D_x = D_y = 0.001 m²/h and k = 0.5 d⁻¹ = 0.02083 h⁻¹. A qualitative and quantitative analysis of the numerical simulations conducted in function of the diffusion coefficients and of the coliforms decay parameter provided a better understanding of the local water quality at Igapó I Lake.