Analysis of bumblebee visitation sequences within single bouts: implication of the overstrike effect on short-term memory

Pollinators whose foraging habitats consist of several plant types (species or morph) may continue to choose the plant type last visited because information about the type of plant last visited dominates over all other memory contents, in particular of short-term memory. In this study, I extracted this overstrike effect on the plant choices of pollinators by analyzing patterns of visitation sequences within a single round-trip between the hive and foraging patch (bout). First, I simulated the visitation sequences within single bouts with a model to show how factors, including the bees plant-type preferences, the arrangement of plants and the effect of overstrike on short-term memory, affect visitation sequences. Here, bees are assumed to forage in a patch consisting of two plant types (H and L). The model predicts that only the effect of overstrike on short-term memory causes assorted visitation sequences according to plant type (within-bout flower constancy). That is, if the overstrike-effect on short-term memory is the primary determinant of plant choice, then bees will fly to a type-L plant after visiting a type-L plant even if they predominantly visit type-H plants and vice versa. Next, I investigated individual bumblebees visitation sequences at a patch of artificial inflorescences with a set-up similar to that assumed in the model. Two types of inflorescences were arranged on a Cartesian grid. Assorted visitation sequences according to inflorescence type were observed, depending on the distances among inflorescences. This result supports the hypotheses that bees fly to the same plant type as that last visited because short-term memory is displaced (overstruck) with information about the most recently visited plant type.Communicated by M. Giurfa     

活性炭纤维在机动车尾气净化中的研究与应用展望

机动车尾气净化控制的一个难点在于冷启动阶段，此时由于温度较低，催化剂尚未完全起作用，导致排出的污染物浓度较高。阐述了活性炭纤维的基本特性，特别是其低温吸附与催化性能对NO和CO的转化作用，讨论了活性炭纤维作为机动车尾气净化材料所需的改性及方法，并展望了其应用前景。     

国五国六汽车尾气颗粒物的生态毒性分析

随着汽车使用量的增加,汽车尾气的环境污染及毒性效应已引起社会的关注.我国于2016年12月23日发布了《轻型汽车污染物排放限值及测量方法（中国第六阶段）》,现阶段尚未发现国五和国六两类汽车尾气颗粒物的生态毒性及比较的研究报道.该文选取国五与国六两类汽车为研究对象,对两类汽车尾气颗粒物的排放情况及主要的半挥发性有机物（SVOCs）进行分析;选用发光菌为受试生物,研究两类汽车尾气颗粒物对发光菌的毒性效应.结果发现：①单位距离下,国五和国六汽车尾气颗粒物质量分别为（8.81±2.92）和（1.51±0.35）mg·km^-1,表明单位距离下国六汽车尾气颗粒物质量显著低于国五汽车;②在检出的SVOCs中,多环芳烃为国五和国六汽车尾气颗粒物中主要的有机污染物;③国五货车、国五轿车和国六汽车尾气颗粒物对发光菌的EC₅₀分别为42.00、41.99和5.37 mg·L^-1,表明本次的研究车辆中单位质量国六汽车尾气颗粒物的毒性高于国五汽车.研究结果表明国六标准的实施可对我国环境空气质量的改善起到重要支撑作用,下一步还应继续开展国六汽车尾气颗粒物的生态毒理学研究工作.     

Gaseous emissions from compressed natural gas buses in urban road and highway tests in China

The natural gas vehicle market is rapidly developing throughout the world, and the majority of such vehicles operate on compressed natural gas(CNG). However, most studies on the emission characteristics of CNG vehicles rely on laboratory chassis dynamometer measurements, which do not accurately represent actual road driving conditions. To further investigate the emission characteristics of CNG vehicles, two CNG city buses and two CNG coaches were tested on public urban roads and highway sections. Our results show that when speeds of 0–10 km/hr were increased to 10–20 km/hr, the CO_2, CO, nitrogen oxide(NO_x), and total hydrocarbon(THC) emission factors decreased by(71.6 ± 4.3)%,(65.6 ± 9.5)%,(64.9 ± 9.2)% and(67.8 ± 0.3)%, respectively. In this study, The Beijing city buses with stricter emission standards(Euro Ⅳ) did not have lower emission factors than the Chongqing coaches with Euro Ⅱ emission standards. Both the higher emission factors at 0–10 km/hr speeds and the higher percentage of driving in the low-speed regime during the entire road cycle may have contributed to the higher CO_2 and CO emission factors of these city buses. Additionally, compared with the emission factors produced in the urban road tests, the CO emission factors of the CNG buses in highway tests decreased the most(by 83.2%), followed by the THC emission factors, which decreased by 67.1%.     

The useful field of view assessment predicts simulated commercial motor vehicle driving safety

Objective: The Useful Field of View (UFOV) assessment, a measure of visual speed of processing, has been shown to be a predictive measure of motor vehicle collision (MVC) involvement in an older adult population, but it remains unknown whether UFOV predicts commercial motor vehicle (CMV) driving safety during secondary task engagement. The purpose of this study is to determine whether the UFOV assessment predicts simulated MVCs in long-haul CMV drivers.

Method: Fifty licensed CMV drivers (M_age = 39.80, SD = 8.38, 98% male, 56% Caucasian) were administered the 3-subtest version of the UFOV assessment, where lower scores measured in milliseconds indicated better performance. CMV drivers completed 4 simulated drives, each spanning approximately a 22.50-mile distance. Four secondary tasks were presented to participants in a counterbalanced order during the drives: (a) no secondary task, (b) cell phone conversation, (c) text messaging interaction, and (d) e-mailing interaction with an on-board dispatch device.

Results: The selective attention subtest significantly predicted simulated MVCs regardless of secondary task. Each 20 ms slower on subtest 3 was associated with a 25% increase in the risk of an MVC in the simulated drive. The e-mail interaction secondary task significantly predicted simulated MVCs with a 4.14 times greater risk of an MVC compared to the no secondary task condition. Subtest 3, a measure of visual speed of processing, significantly predicted MVCs in the email interaction task. Each 20 ms slower on subtest 3 was associated with a 25% increase in the risk of an MVC during the email interaction task.

Conclusions: The UFOV subtest 3 may be a promising measure to identify CMV drivers who may be at risk for MVCs or in need of cognitive training aimed at improving speed of processing. Subtest 3 may also identify CMV drivers who are particularly at risk when engaged in secondary tasks while driving.     

Deciphering urban traffic impacts on air quality by deep learning and emission inventory

Air pollution is a major obstacle to future sustainability, and traffic pollution has become a large drag on the sustainable developments of future metropolises. Here, combined with the large volume of real-time monitoring data, we propose a deep learning model, iDeepAir, to predict surface-level PM_2.5 concentration in Shanghai megacity and link with MEIC emission inventory creatively to decipher urban traffic impacts on air quality. Our model exhibits high-fidelity in reproducing pollutant concentrations and reduces the MAE from 25.355 µg/m³ to 12.283 µg/m³ compared with other models. And identifies the ranking of major factors, local meteorological conditions have become a nonnegligible factor. Layer-wise relevance propagation (LRP) is used here to enhance the interpretability of the model and we visualize and analyze the reasons for the different correlation between traffic density and PM_2.5 concentration in various regions of Shanghai. Meanwhile, As the strict and effective industrial emission reduction measurements implementing in China, the contribution of urban traffic to PM_2.5 formation calculated by combining MEIC emission inventory and LRP is gradually increasing from 18.03% in 2011 to 24.37% in 2017 in Shanghai, and the impact of traffic emissions would be ever-prominent in 2030 according to our prediction. We also infer that the promotion of vehicular electrification would achieve further alleviation of PM_2.5 about 8.45% by 2030 gradually. These insights are of great significance to provide the decision-making basis for accurate and high-efficient traffic management and urban pollution control, and eventually benefit people's lives and high-quality sustainable developments of cities.     

电动汽车用电机及其控制器振动试验方法的探讨

振动试验是汽车产品设计验证和质量检验重要试验方法。本文主要从试验标准、试验条件、振动试验中主要参数的计算推导及应用、试验工装的设计、试验中应注意的问题等方面对电动汽车电机及其控制器的振动试验进行介绍。     

The Dismantling of End-of-Life Vehicles in Estonia Before Putting into Effect the Directive 2000/53/EC (3 pp)

Background, Aims and Scope When joining the European Union on 1st May 2004, Estonia had to conform its legislation to the European Union legislation. In relation with that, also the treatment requirements on end-of-life vehicles proceeding from Directive 2000/53/EC of the European Parliament and of the Council of 18 September 2000 were established in Estonia for the first time. Since this area was not regulated with law beforehand, there was not any information available about it. The aim of the current survey was to ascertain the condition of scrap yards in mid 2004. In addition to that, also to identify the number of scrap yards operating in Estonia, to classify these by the number of dismantled vehicles and the potential environmental hazard, and to map the locations of car dismantling companies and evaluate their compliance with the valid requirements. Methods The companies that have been registered in the Commercial Registry under the activity code 503090-end-of-life vehicle dismantling were visited and visually reviewed. During the visits, the compliance of scrap yards with the existing requirements was evaluated and it was also attempted to identify how environmentally sound the dismantling technology of every scrap yard owner is. Results and Discussion Altogether, 63 scrap yards operated in Estonia by mid 2004. Twelve of them dismantled more than 100 vehicles, 13 of them 51-99 vehicles and 38 up to 50 vehicles a year. The total annual market capacity on dismantling of vehicles in Estonia is considered to be approx. 10,000 units. There are very few companies dealing only with car dismantling as the main business. Most scrap-yard owners also offer side services, e.g. haulage, car repair and maintenance. The dismantlers are interested in the selling of second-hand spare parts and scrap metal. Only one company out of 63 complied with all the requirements enacted by the relevant decision of the Estonian Minister of Environment. The rest of the scrap yards did not meet the requirements on the site on storage and treatment nor did they have the hazardous waste handling licence or the waste permit. Of the requirements established for the site for storage of end-of-life vehicles, 97% of the scrap yards were surrounded with a fence, 67% had a 24-hour guard, 45% had covered the areas with waterproof cover, but only 3% had an oil trap. Sites for treatment were in a somewhat better condition, these were mostly situated inside the buildings, where floors were covered with waterproof covers. Most of the dismantlers collected the waste oil and waste fluids into separate vessels, but there were a number of dismantlers who did not know of existence of polychlorinated biphenyls (PCB) in car air conditioning systems and the availability of mercury in sensors belonging in passenger safety systems. Proceeding from the general condition of the scrap yard, the rest of 62 scarp yards were distributed between two empirical parameters - 'rather environmentally hazardous' or 'rather not environmentally hazardous'. As a matter of fact, 17% of scrap yards turned out 'rather environmentally hazardous'. Conclusion Out of the scrap yards operating in Estonia, only one is compliant with the requirements set up by Directive 2000/53/EC. Another 62 appeared during the review to be sites of potential environmental pollution. In order to comply with environmental requirements and get the hazardous waste treatment license, the scrap yard owners have to invest into state-of-the-art dismantling and environment protection equipment. The main obstacle to reach the environmentally sound scrap-yard is the high investment cost and the black market for spare parts. Recommendation and Outlook As the correction of the market in end-of-life vehicle treatment started after the adoption of Directive 2000/53/EC, the environmental authorities have to look after the ongoing correction. It is because there is still a demand for cheap spare parts and it makes it attractive to dismantle the vehicles out of scrap-yards by licensees.     

遥感三维可视化在南沟泥石流调查中的运用

在中国20年来泥石流遥感调查所取得成绩以及存在问题的基础上,尝试用新方法对泥石流进行研究,即采用遥感三维可视化方法调查泥石流。以汶川南沟为例,利用高精度的卫星遥感影像（quickbird）和1：50000的等高线,在erdas软件的支持下,实现了遥感影像三维可视化。并在此基础上对其应用——虚拟GIS飞行和泥石流流域内崩塌堆积物三雏遥感解译。实践证明由于遥感三维解译能全方位观察泥石流沟谷以及相关的地形地貌,所以其解译的准确率比传统二雏遥感解译率高。     

电驱动道路车辆动力锂离子电池系统气候环境试验和要求

本文是电驱动道路车辆动力锂离子电池的试验和要求标题下的气候环境部分,结合国标转化过程和实验室能力验证经历,将气候试验方法和要求作描述和解释,供实验室和相关产品的供需双方参考.