延长初发酵培养时间对大肠菌群结果影响分析

阐述了将《大肠菌群多管发酵法》(GB/T 4789.28-2003)初发酵时间24 h延长至48 h的原因,通过对139份不同种类样品进行大肠菌群总数检测,发现有12份样品增加了大肠菌群数,表明延长初发酵培养时间,可以增加迟缓发酵大肠菌群成员检出.指出迟缓发酵大肠菌群在44.5 ℃培养时,均无产酸产气现象,表明引起迟缓发酵的大肠菌群不属于粪大肠菌群成员.     

微生物絮凝剂产生菌的筛选及产絮凝剂的周期研究

用常规的分离、纯化方法 ,从活性污泥中共分离出 32株菌株。将单菌株分别培养于“JM- 1”、“DF-1”、“PT- 1”液体培养基中 ,摇床培养一定时间后 ,以高岭土悬浊液筛选具有絮凝活性的菌种 ,由此获得 8株微生物絮凝剂产生菌 ,其中有 1株絮凝活性较高 ,初步鉴定为酵母菌 ,代号为“Dfjm- 1”,产生的絮凝剂命名为“Dtjm-1”。本文研究了“Dfjm- 1”在不同培养时间的生长情况、培养液中 p H值变化情况及絮凝活性变化情况 ,得出絮凝活性与菌生长量呈正相关关系 ,絮凝剂“Dtjm - 1”在菌生长稳定后期达到稳定活性的最高值     

Can a unique appearance of e-bikes,coupled with information on their characteristics,influence drivers’ gap acceptance?

Abstract

Objective: Car drivers tend to underestimate the speed of e-bikes and accept smaller gaps for crossing in front of them compared to conventional bicycles. As an explanation, it has been suggested that car drivers rely on their previous experience with conventional bicycles, which tells them that those mostly travel at low speeds. E-bikes, which look just like regular bicycles, do not conform to this expectation, resulting in potentially dangerous interactions. Based on this assumption, researchers have suggested to increase other road users’ awareness of e-bikes’ higher speeds by giving them a distinct appearance. The goal of our experiment was to investigate the effects of such a unique appearance, aided by clear instructions about the higher speeds of e-bikes, on gap acceptance.

Method: In order to investigate the effect of appearance independent of the effect of bicycle type, we used video sequences of conventional bicycles and e-bikes approaching at different levels of speed. The riders (regardless of what type of bike they were actually riding) either wore an orange helmet as an indicator for an e-bike, or a gray helmet indicating a conventional bicycle. Fifty participants were asked to indicate the smallest acceptable gap for a left turn in front of the cyclist or e-bike rider.

Results: The results showed significantly smaller acceptable gaps when confronted with the gray helmet (signal for bicycle) compared to the orange helmet (signal for e-bike), whereas there was no difference between the actual bicycle types.

Conclusions: Overall, the results indicate that informing about e-bikes characteristics in combination with a unique appearance can lead to a more cautious behavior among car drivers.     

Relationships between dissolved and particulate carbohydrate temporal patterns and mucilaginous aggregates formation: evidences from time series analysis and biochemical composition of aggregates

A 3-year monitoring of dissolved and particulate carbohydrate concentrations in four transects located in the Adriatic and Tyrrhenian Seas was performed in order to get information on the role played by carbohydrates in the mucilage formation in these areas. The application of time series analysis pointed out that the concentration of dissolved carbohydrates does not vary significantly in coincidence of the mucilage appearance showing an almost constant state with respect to time. In contrast, wider temporal variations of carbohydrate amounts, either increase or decrease, were observed when mucilages were lacking or reduced. This almost constant state of carbohydrate amounts observed in presence of mucilages that we define 'steady state' could be associated to an alteration of the complex chemical equilibrium between synthesis and degradation (either hydrolysis or oxidation) reactions of the organic polymers which are typical of the humification processes in the marine environment. The results of this study suggest that the monitoring of carbohydrates can represent an useful tool for the comprehension of the most relevant phenomena of mucilage appearance in the Northern Adriatic Sea.     

Farmworker children's residential non-dietary exposure estimates from micro-level activity time series

Farmworkers' children may have increased pesticide exposure through dermal absorption and non-dietary ingestion, routes that are difficult to measure and model. The Cumulative Aggregate Simulation of Exposure (CASE) model, integrates the complexity of human behavior and variability of exposure processes by combining micro-level activity time series (MLATS) and mechanistic exposure equations. CASE was used to estimate residential non-dietary organophosphate pesticide exposure (i.e., inhalation, dermal, and non-dietary ingestion) to California farmworker children and evaluate the micro-activity approach. MLATS collected from children and distributions developed from pesticide measurements in farmworkers' residences served as inputs. While estimated diazinon exposure was greater for inhalation, chlorpyrifos exposure was greater for the other routes. Greater variability existed between children (σ_B² = 0.22–0.39) than within each child's simulations (σ_W² = 0.01–0.02) for dermal and non-dietary ingestion. Dermal exposure simulations were not significantly different than measured values from dosimeters worn by the children. Non-dietary ingestion exposure estimates were comparable to duplicate diet measurements, indicating this route may contribute substantially to aggregate exposure. The results suggest the importance of the micro-activity approach for estimating non-dietary exposure. Other methods may underestimate exposure via these routes. Model simulations can be used to identify at-risk children and target intervention strategies.     

Environment-specific elasticity and sensitivity analysis of the stochastic growth rate

For matrix population models, analyses of how sensitive the population growth rate is to changes in vital rates (i.e. perturbations) are important for studies of life history evolution as well as for management and conservation of threatened species. There are two types of sensitivity analyses corresponding to absolute (sensitivity) or relative (elasticity) changes in the vital rates and both types can be applied to both deterministic and stochastic matrix population models. To date, most empirical studies of elasticity and sensitivity of the stochastic growth rate have examined the response to perturbations in the vital rates in a complete set of possible environments. However, it is often of interest to examine the response to perturbations occurring in only a subset of the possible environments. This has been done for periodic time-varying models elsewhere, but here we describe a recently published method for calculating the environment-specific sensitivity and elasticity of the stochastic growth rate and apply this method to data. These environment-specific perturbation analyses provide a logical way of dividing the sensitivity and elasticity among the environments. They give important insight into the selection regime in different environments and can provide valuable information for making management decisions and management evaluations in stochastic environments.     

Transmission Functions and its application to the analysis of time uncertainties in Protection Engineering

In this paper we explore the concept of transmission Functions and its application to the resolution of the problem posed by the uncertainty in the time to take manual protective actions due for instance to different operator abilities. This time uncertainty is a very special kind of uncertainty with obvious relevance in Protection Engineering problems. Tackling it involves a large amount of simulations of transients associated to sequences of system transitions, resulting from those actions, where the only difference from one simulation to another is the time interval between transitions, the evolution laws being always the same. In order to solve such type of problems, a new formalism is proposed based on the concept of transmission Function. We prove that for a large class of Multiple Input–Multiple Output (MIMO) piecewise linear systems, the output may be obtained as additive contributions of each interval of the sequence, each one characterized via a Transmission Function. We then provide efficient methods to compute Transmission Functions of sequences of canonical Single Input-Single Output (SISO) piecewise systems, and to find the locus of protective action times that lead to damage (damage domain).     

交通事故的时间分布规律

交通事故已成为威胁人民生命、财产安全的社会公害之一。笔者利用国内外有关交通事故数据进行统计分析,对交通事故发生的时间特征进行研究,为改善交通安全状况提供理论基础。运用统计分析、对比分析方法,分析国外不同国家和我国交通事故年时间分布规律的波峰曲线,得出我国交通事故逐年上升的势头有望得到遏制,使人们对战胜交通事故灾害充满信心。分析交通事故小时时间分布曲线,得出交通事故高峰小时出现在交通量高峰小时之后,两者不重合,死亡高峰时段(危险时段)多发生在夜晚等结论。该结论对采取针对不同时间内降低交通事故的教育、管理、工程等安全对策具有实用价值。     

地震活动趋势的多层递阶预报

多层递阶预报是动态系统的新型统计预报理论,由于它把动态系统看成是一个时变参数系统,因而与客观实际较为符合,预报误差也相对较小,利用它来预报一个地区未来的地震活动趋势,具有一定的实用价值。     

Lake management techniques in Florida,USA: Costs and water quality effects

Economic evaluations of restored or enhanced lakes in Florida indicated gravity drawdown was the least expensive action, whereas effluent diversion was 10,000 times more costly on a per hectare basis, with the other lake treatment costs occurring in the following order: gravity drawdown < grass carp introduction < mechanical drawdown < aeration < stormwater control = drawdown-dredging < effluent diversion. Within a particular treatment category, the costs spanned approximately one and one half orders of magnitude. Contrary to the abundant cost data, which permitted an economic analysis, inappropriate statistical design and lack of commitment toward sampling Florida's restored lakes undermines attempts to understand long-term water quality responses to various enhancement techniques. Using Lake Tohopekaliga as a case study, ordinary statistical tests produced contradictory and unreliable interpretations on the effectiveness of drawdown and phosphorus removal at sewage treatment plants in improving the trophic state index. This emphasizes the need for more robust statistical approaches and more detailed data collection in evaluating lake restoration activities It is unfortunate for Florida's lake restoration program that quantitative conclusions based on inferential statistics, replete with tests of assumptions, is limited to very few lakes