Time allocation between work and recreation and the associated injury risks among young people

PROBLEM: The purpose of this study was to examine the relationship between overall risk of injury and time use patterns between work and active recreation among adolescents and young adults. METHODS: Using a representative sample of 9,795 Canadians aged 15-24 years, a multivariate logistic regression on the likelihood of any medically attended injury was conducted, including sociodemographic, individual, and time factors. RESULTS: Young people who engaged in a combination of high work and high activity hours were twice as likely to sustain a medically attended injury compared to those who worked low hours, but did not participate in any recreational activity. Those respondents who were not in school had a 43% increase in injury risk compared to full-time students. SUMMARY: Our findings suggest that injury risk was not a simple function of fatigue and cumulative exposure time. Our findings suggest the importance of considering time use and the associated injury risk tradeoffs. IMPACT ON INDUSTRY: Relevant to state and federal work safety policy makers, our findings suggest the importance of understanding where youth might otherwise spend their time if constraint were placed on their employment opportunities, and the associated injury risk tradeoffs must be taken into consideration.     

Pastoral farmland habitat diversity in south-east Ireland

In this study, habitat surveys were undertaken on 50 grass-based farms in SE Ireland and data digitised onto aerial photography. Additional data i.e. stocking rates, and participation (or otherwise) in the Irish Rural Environment Protection Scheme (REPS) were collected and analysed as possible explanatory variables for farm habitat composition.Results indicated that approximately 14.3% of the land area of sampled farms comprised of semi-natural habitat types, a proportion substantially greater than has been reported for many other European countries. The most frequently recorded semi-natural habitats included, field boundaries, scrub, and deciduous and riparian woodlands.Multivariate analysis of farm habitat configuration showed a strong dichotomy between dairy and non-dairy farming systems. Habitats such as intensively managed grassland and built ground were closely associated with dairy-based enterprises. In contrast, the incidence of other habitat types was associated with non-dairy and/or REPS participating enterprises. The ecological quality of field boundaries as assessed by the Field Boundary Evaluation and Grading System (FBEGS) Index was significantly greater on dairy, compared with dry-stock farms.This dichotomy in farm habitat composition is not reflected within current Agri-Environment (AE) policy. Integration of locally important drivers of habitat diversity into the design and implementation of AE policy, is integral to the successful performance of AE schemes.     

高温(70℃)玉米秸秆水解液产氢行为及群落结构

考察了高温条件下(70℃)牛粪堆肥、土壤、厌氧污泥、腐烂秸秆种接种物利用玉米秸秆水解液的产氢行为。结果表明:牛粪堆肥接种时达到最大的产气量(1355.7mL/L)和氢气产量(608.4mL/L),随后依次为腐烂秸秆、厌氧污泥和土壤。修改的Gompertz方程可以较好描述产氢量随时间变化趋势(R2>0.99)。牛粪堆肥接种时达到最大的产氢潜力(676.0mL/L),而土壤接种时的迟滞时间最小(9.8h)。DGGE图谱显示:不同接种物对应不同的微生物群落结构。Bacillus thermozeamaize,Enterobacter sp.JDM-19和Thermoanaerobacterium polysaccharolyticum strain,KMTHCJT和可能分别是牛粪堆肥,厌氧污泥和腐烂秸秆接种条件下的关键产氢微生物。     

海上移动式平台安全信息预警与保护装置研制

介绍了一种基于海洋移动式平台应用的安全信息预警与保护装置的研制,实现具有移动式平台海上安全信息采集、记录、预警、保护及再现等功能。     

蓝藻预警监测数据管理系统开发与应用研究

太湖蓝藻预警监测一直是政府及环保部门关注的重点工作并已经成为日常监测任务,但由于数据汇总和日统计评价工作量大,每项指标评判靠人工处理效率明显低下,蓝藻预警监测数据管理系统的开发很好的解决了这一问题.该系统以蓝藻监测和上报的实际业务需求为基础,综合了地表水各项指标的评价功能,并运用网络平台方便灵活地与其他部门共享蓝藻监测信息,极大地提高了综合分析人员工作效率,同时还为环境管理部门提供了更加全面的趋势分析.     

城市环境风险监控预警系统的构建与应用研究

文章在分析当前城市环境风险预警系统构建的不足的基础上,结合目前环境风险预警系统构建的基础支撑系统建设现状,介绍如何建立集成环境风险信息采集、实时监控预警、预测模拟、处理为一体的城市环境风险信息监控预警平台,实现城市环境风险信息统一管理与共享,提高环境监管部门及公众对环境风险的应急反应及处理速度,为城市环境安全保障提供决策支持。     

基于视频分析的人群密集场所客流监控预警研究

为实现人群密集场所客流安全隐患早发现,辅助管理人员早决策,人群聚集风险区早疏散,提升对灾难的预见性和主动性。在国内外人群异常聚集监测预警现状分析基础上,对比分析得出监控视频分析技术是解决人群密集场所精准预警难题较为理想的解决方案;构建以视频智能分析的人群计数、密度估计、行人追踪、活动烈度识别为核心技术的人群密集场所风险预警技术框架;将该技术框架应用到某大型商圈的商业街区,获得监控区域内的人群总数、密度分布、行人轨迹和异常活动等特征。结果表明:提出的基于视频分析的人群密集场所风险预警技术框架可为城市大型商圈、交通枢纽、大型活动场所等城市公共场所的安全管理提供参考和借鉴。     

Precision teaching to improve drivers’ lane maintenance

Introduction: This study investigates the effect of precision teaching signals on lane maintenance. Methods: In experiment 1, the control group drove a simulator with no signals. In experiment 2, drivers were presented with auditory signals depending on their position within or outside the lane. In experiment 3, visual signals were presented in addition to auditory signals to examine the effect of redundancy on drivers’ lane maintenance. Results: Results showed an improvement in lane maintenance in experiment 2. Cross-experiment analysis indicated this effect not to be the result of learning. Data from experiment 3 also showed that presenting redundant signals did not further reduce lane variability or help drivers maintain a more central position within the lane. Conclusions: Taken together, data suggest precision teaching be effective as an educational tool to improve lane maintenance. Practical Applications: Our study shows the potential for precision teaching to serve as a valuable tool in driver training.     

Misoperation monitoring and early warning during startup and shutdown of petrochemical units

Most petrochemical units run under extreme conditions, such as high temperatures, pressures, and speeds. Consequently, the equipment operators may commit errors because the startup and shutdown processes usually involve complicated operation steps; moreover, the operators may lack experience in handling abnormal situations. Misoperation can lead to accidents, including fires and explosions. Thus, risk analysis for process operations and the development of preventive measures have become an effective means of avoiding misoperation-related accidents. However, it is challenging to ensure the comprehensiveness of risk-analysis results. In this paper, we present a method for misoperation monitoring and early warning in the startup and shutdown processes of petrochemical units. The mechanisms of misoperation occurrence are summarized based on investigations of serious accidents in the recent past. Knowledge regarding the mechanisms of misoperation is crucial for the risk analysis of petrochemical units. The potential risk information, such as causes, adverse consequences, key monitoring parameters, and prevention control solutions, should be acquired and be employed to construct an early-warning knowledge database. Furthermore, misoperation judgment rules need to be formulated to identify misoperations. The data obtained from the monitoring module, misoperation judgment rules, and analysis results can aid in developing schemes to avoid possible abnormal situations. This paper reports a misoperation monitoring and early-warning system for a hydrogenation unit. As demonstrated, conducting risk analysis to determine the potential operational risks and formulating misoperation judgment rules to analyze the process data are essential for enabling early warning. The application of this method will contribute to operational guidance, economic loss reduction, and accident avoidance.     

鄱阳湖平原区农村门塘浮游藻类群落特征及其生物学评价

于2018年—2019年在鄱阳湖区周边选取4个县（区）10个村庄的典型门塘开展浮游藻类采样调查。研究共鉴定出藻类6门83种,以蓝藻门、绿藻门和硅藻门为主;浮游藻类细胞密度全年范围为7.30×104个/L～2.78×1011个/L,年均值为1.4×1010个/L,其中夏季细胞密度最大,冬季细胞密度最小;优势种主要有小环藻、微囊藻、铜绿微囊藻、卵形隐藻等,且具有较为明显的季节演替,全年优势种为小环藻;藻类多样性指数（H′）年均值为1.49,丰富度指数（M）年均值为1.92,全年水体生物学评价结果为中度污染。