Analysis of the hazards for the molten cuprous chloride pouring operation in an industrial hydrogen production facility

An analysis is reported of a design for a local exhaust ventilation system for the molten cuprous chloride pouring station in an industrial plant. Heat recovery from molten cuprous chloride is a key process within the copper–chlorine (Cu–Cl) cycle of thermochemical water splitting for hydrogen production. Because of particulate matter, dust, and vapors emitted by the molten salt, an effective and safe design is crucial. The design process involves calculating duct diameters to provide the desired duct air velocity through the system. The static pressure is evaluated so that the fan size can be determined. An adequate supply of makeup air must be provided to replace the air exhausted through the ventilation system. The economics of the ventilation system and ways to protect employee health, as well as minimize the costs associated with exhaust ventilation, are also described. Copyright © 2011 John Wiley & Sons, Ltd.     

Impacts on Children of a Policy to Promote Employment and Reduce Poverty for Low-Income Parents: New Hope After 5 Years.

The impacts of New Hope, a program to increase parent employment and reduce poverty, were measured 5 years after parents were randomly assigned to program or control groups. New Hope had positive effects on children's school achievement, motivation, and social behavior, primarily for boys, across the age range 6-16. In comparison to impacts measured 2 years after program onset, effects on achievement were robust, but effects on social behavior were reduced. The program produced improvements in family income and use of organized child care and activity settings, suggesting possible pathways by which the New Hope package of policies influenced children's behavior. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Composition, process, and performance in self-managed groups: The role of personality.

Using the five factor model with an emphasis on extraversion and conscientiousness, the authors investigated how personality is related to small group processes and outcomes. Graduate students (N ?=?289) assigned to 4- and 5-person teams in 61 groups engaged in a series of creative problem-solving tasks over a period of several weeks. Extraversion was associated with group processes and outcomes at both individual and group levels of analysis. At the individual level, extraverts were perceived by others as having greater effect than introverts on group outcomes. Covariance structure modeling suggested that extraverts induce these perceptions through the provision of both socioemotional and task-related inputs. At the group level, the proportion of relatively extraverted members was related curvilinearly to task focus and group performance. Contrary to expectations, Conscientiousness was unrelated to processes and outcomes at either the individual or group level. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Modeling of Lake Ice Characteristics in North America Using Climate, Geography, and Lake Bathymetry

Ice cover records from 128 freshwater lakes in the United States and Canada were analyzed. Multivariable linear regression models, log-transform models, and a combination of the two (the “hybrid” form) were used to express ice-in date, ice-out date, and maximum ice thickness as functions of mean air temperature, latitude, average depth, elevation, and surface area of each lake. Mean air temperatures are for periods from September 1 to December 31 for ice-in dates, February 1 to June 30 for ice-out dates, and September 1 to June 30 for maximum ice thickness. Data for individual years as well as averages (over the record length) for each lake were analyzed. The log-transform formulas proved best for estimating ice-in date, while the hybrid form provided the best models of maximum ice thickness. The linear regression model estimated the ice-out date best. In most cases, mean air temperature and/or latitude were the most influential parameters, followed by elevation. Lake surface area and depth had a small or no influence. R2 values of all equations ranged from 0.50 to 0.92.     

Incorporating biomarkers of exposure and genetic susceptibility into smoking cessation treatment: Effects on smoking-related cognitions, emotions, and behavior change.

In this article the authors report on the short-term impact of incorporating biomarker feedback about exposure and genetic susceptibility into minimal-contact quit-smoking counseling (QSC). Four hundred and twenty-seven smokers were randomized to 1 of 3 treatments: (a) QSC, (b) QSC + exposure biomarker feedback (EBF) about carbon monoxide in exhaled breath, or (b) QSC + EBF + biomarker feedback about genetic susceptibility to lung cancer (SBF). We observed significant immediate positive effects of SBF, compared with EBF and QSC, on perceived risk, perceived quitting benefits, and fear arousal. However, at the 2-month follow-up, there were no group differences in quit rates. SBF did lead to significant reductions in the number of cigarettes smoked for smokers who were in the preparation stage. Smokers in the EBF and QSC conditions showed reductions in depressive symptoms by 2 months, but smokers in the SBF condition did not. In the context of QSC, genetic feedback may heighten vulnerability and possibly promote distress, but may not immediately enhance quitting in most smokers. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

水平定向钻进帮助新南威尔士扩大自来水供应

本文简要介绍了在Shannon Creek的储存设施工程采用水平定向钻进施工的情况。     

演进的可编程网络

过去30年来,通信产业经历了重大的变革,很大程度上,业务模式从提供有线宽带转变为随时随地提供无缝的互联网和应用接入。这种转变主要得益于半导体技术的持续创新以及光传输和无线传输技术的改进,从而带来了更快、更便宜的带宽。如今,正在迈入由云计算和数以万亿计的全新互联设备所驱动的行业新纪元——万物互联。这就意味着电信运营商如果想在未来取得成功,必须要在业务模式、网络架构和技术方面做出改变。对这些产业趋势进行了分析,剖析了如何实现网络创新,以满足这些新兴要求以及帮助电信运营商实现其业务目标。     

Instar and outstar learning with memristive nanodevices

The instar and outstar synaptic models are among the oldest and most useful in the field of neural networks. In this paper we show how to approximate the behavior of instar and outstar synapses in neuromorphic electronic systems using memristive nanodevices and spiking neurons. Memristive nanodevices are especially attractive for this application since such devices are tiny, can be densely packed in crossbar-like structures and possess the long time constants, or memory, needed by the synaptic models.