Urban development and landscape change in the Yangtze River Delta region in China

The impact of large-scale urban development on land resources has long been debated by urban planners and designers. This study investigated the extent to which different urban characteristics are associated with land-cover change. The Yangtze River Delta region in China, forming one of the largest sprawling urban landscapes among the regions around the world, was chosen for the study area. Spatial analysis and multiple regression methods were applied to empirically investigate the pattern of resource sites lost to urban development in the area between the 1950s and 2017. The results showed that contrary to the widespread notion that large-sized cities are predominantly responsible for a region’s environmental degradation, city size was not a significant factor in determining the rate of resource loss. Large-sized cities gained their populations with far lesser impacts on land than small-sized cities and towns if normalized to the same number of populations. One explanation for the diminishing effect of city size on land-cover change relates to the degree of spatial dispersion of urban development and local differences in social valuation of diversified lands by cities.     

The business case for SDGs: an analysis of inclusive business models in emerging economies

In September 2015, the Sustainable Development Goals (SDGs) were endorsed by the United Nations and adopted by all 193 Member States. The SDGs integrate the 5P’s: People, Planet, Prosperity, Peace, and Partnership and clearly stress the need for all stakeholders to collaborate to create a sustainable world. Most importantly, the SDGs appeal to the central and diverse role that the business sector can play to deliver on the SDGs. This paper provides an analysis of inclusive business (IB) models as market-based solutions to contribute to the achievement of the SDGs and benefit those at the Base of the Pyramid (BoP). We investigate the IB models and their social impact in 20 organizations from emerging economies across five different sectors. The findings should help increase the uptake and scale of quality IB models and practices among the private sector, development communities, and governments to promote inclusive economic growth and social impact.     

Estimating resource utilization demands in implementing statewide screening,brief intervention,and referral to treatment for alcohol-impaired drivers

Objectives: The Alcohol Use Disorders Identification Test (AUDIT) is used to assess the level of alcohol use/misuse and to inform the intensity of intervention delivered within screening, brief intervention, and referral to treatment (SBIRT) programs. Policy initiatives are recommending delivery of SBIRT within health care settings to reduce alcohol misuse and prevent alcohol-impaired driving. Recent reports are considering extending delivery of SBIRT to criminal justice settings. One consideration in implementing SBIRT delivery is the question of resource utilization; the amount of effort required in delivering the 4 different intensities of intervention in SBIRT: Alcohol education, simple advice, brief counseling and continued monitoring, and brief counseling and referral to specialist (from least to most intense in terms of delivery time, the skill level of the provider, and personnel resources).

Methods: In order to inform expectations about intervention intensity, this article describes the AUDIT scores from 982 adults recently arrested for alcohol-impaired driving. The distribution of scores is extrapolated to state rates for individuals arrested for alcohol-impaired driving by intervention level.

Results: Though alcohol education was the most common intervention category, about one quarter of the sample scored in a range corresponding with the more intensive interventions using the brief counseling, continued monitoring for ongoing alcohol use, and/or referral to specialist for diagnostic evaluation and treatment.

Conclusions: This article provides local distribution of AUDIT scores and state estimates for the number of individuals scoring in each level of risk (AUDIT risk zone) and corresponding intervention type. Routine criminal justice practice is well positioned to deliver alcohol screening, education, simple advice, and continued alcohol monitoring, making delivery of SBIRT feasible for the majority of alcohol-impaired drivers. Challenges to implementing the full range of SBIRT services include resource demands of brief counseling, identifying the appropriate providers within a criminal justice context, and availability of community providers for referral to diagnostic and specialty care. Solutions may vary by state due to differences in population density and incidence rates of alcohol-impaired driving.     

Minimizing the cost of translocation failure with decision‐tree models that predict species’ behavioral response in translocation sites

The high number of failures is one reason why translocation is often not recommended. Considering how behavior changes during translocations may improve translocation success. To derive decision‐tree models for species’ translocation, we used data on the short‐term responses of an endangered Australian skink in 5 simulated translocations with different release conditions. We used 4 different decision‐tree algorithms (decision tree, decision‐tree parallel, decision stump, and random forest) with 4 different criteria (gain ratio, information gain, gini index, and accuracy) to investigate how environmental and behavioral parameters may affect the success of a translocation. We assumed behavioral changes that increased dispersal away from a release site would reduce translocation success. The trees became more complex when we included all behavioral parameters as attributes, but these trees yielded more detailed information about why and how dispersal occurred. According to these complex trees, there were positive associations between some behavioral parameters, such as fight and dispersal, that showed there was a higher chance, for example, of dispersal among lizards that fought than among those that did not fight. Decision trees based on parameters related to release conditions were easier to understand and could be used by managers to make translocation decisions under different circumstances. Minimizar el Costo del Fracaso de la Reubicación con Modelos de Árboles de Decisión que Predigan la Respuesta Conductual de la Especie en los Sitios de Reubicación     

基于改进TOPSIS的受灾点需求紧迫性分级研究

地震发生初期,各受灾点对物资需求的紧迫性存在差异。在应急资源有限的情况下,为提高救援效率,应急资源需要按照受灾点需求紧迫性优先级进行分配和调度。首先,构建了受灾点需求紧迫性评价指标体系,并采用博弈论方法将熵权法和层次分析法相结合,确定权重组合系数及各评价指标综合权重。其次,利用马氏距离和灰色关联分析改进TOPSIS方法,建立了受灾点应急物资需求紧迫性分级模型。最后,将模型应用于受灾点应急物资需求紧迫性分级研究,并将该评价结果与传统TOPSIS法的评价结果进行比较,结果表明,该评价方法可以科学、客观地确定权重组合系数,消除指标间相关性,使评价结果符合实际情况,表明该评价方法科学、可行、有效,能为应急救援物资配送提供有效支持和决策。     

未按规定导向车道行驶行为干预方法研究

为保障信号交叉口的正常交通秩序,充分遏制机动车未按规定导向车道行驶行为,亟需探究该行为的影响因素及干预方法。以北京市内4个信号交叉口处共35 h的1 666条监控视频数据为基础,对未按规定导向车道行驶行为进行定义并将其分为9类,分别对频率较高的5类未按规定导向车道行驶行为构建二元Logit模型,以确定其关键影响因素,并据此提出干预方法。结果表明,排队车辆数、大车比例、时段、车流量、照明条件等因素会不同程度地影响5类未按规定导向车道行驶行为的发生概率,其中排队车辆数及时间因素影响最为显著。在此基础上,从交通工程设施及驾驶人安全意识角度,提出优化交叉口渠化设计及信号配时、采用智能标线、强化监管力度及完善交通管控设施、加强驾驶人安全教育4种未按规定导向车道行驶行为干预方法。     

长江口柱状沉积物中有机质C/N比的研究

对长江口四个站位沉积物中有机质的C／N比在垂向上的分布进行了研究，在影响沉积物中有机质C／N比的环境因素中，上覆水体的水深、盐度、密度以及浊度对其有一定的影响．在研究沉积物中有机质C／N比的分布及其影响因素的基础上，进一步估算了陆源输入和海洋自生有机碳在这四个站位沉积物有机碳中所占的比例，结果表明，海洋自生组分占沉积物总有机碳的比例分别为：53．57％(8号站位)、20．34％(11号站位)，12．28％(17号站位)和32．73％(26号站位)．     

河西走廊中部荒漠植被的生态学研究

根据对河西走廊中部荒漠植被的调查，对荒漠植被进行了分类及生态学描述，重点讨论了荒漠植被对改善河西走廊中部农村生态环境的作用，提出了保护和利用荒漠植被的措施及改善生态环境的途径。     

感应电动势与参照系的相对关系

本文从电磁场变换入手,举例说明感应电动势的大小及区分感生、动生电动势与参照系有关.     

科学发展观的内涵与特征

概述了科学发展观的内涵；认为它是以人为本，以全面、协调和可持续为根本特征；它强调经济发展、社会发展和人的全面发展、人口、资源、环境等各方面的和谐与统一。这种新的理念应该转化成为政府的具体行动。