Use of recycled fine aggregate in concretes with durable requirements

The use of construction waste materials as aggregates for concrete production is highly attractive compared to the use of non-renewable natural resources, promoting environmental protection and allowing the development of a new raw material. Several countries have recommendations for the use of recycled coarse aggregate in structural concrete, whereas the use of the fine fraction is limited because it may produce significant changes in some properties of concrete. However, during the last decade the use of recycled fine aggregates (RFA) has achieved a great international interest, mainly because of economic implications related to the shortage of natural sands suitable for the production of concrete, besides to allow an integral use of this type of waste. In this study, the durable behaviour of structural concretes made with different percentage of RFA (0%, 20%, and 30%) is evaluated. Different properties related to the durability of concretes such as absorption, sorptivity, water penetration under pressure, and carbonation are determined. In addition, the results of compressive strength, static modulus of elasticity and drying shrinkage are presented. The obtained results indicate that the recycled concretes have a suitable resistant and durable behaviour, according to the limits indicated by different international codes for structural concrete.     

高铝粉煤灰提取氧化铝后硅钙渣用作水泥混合材

为了使高铝粉煤灰提取氧化铝后所产生的硅钙渣被大量的用作水泥混合材,通过水泥强度、水化放热和干缩性实验研究了原状硅钙渣和脱碱硅钙渣对水泥强度和稳定性的影响。结果表明,当硅钙渣掺量达30%时,硅钙渣水泥强度仍可满足P·C 32.5水泥要求。且随硅钙渣掺入量的增加,水泥早期水化放热速率增加的同时水泥累计水化放热量和干缩率还会显著降低。与原状硅钙渣相比,在同等掺量的情况下,脱碱硅钙渣更有利于保持水泥强度,降低其水化热和改善干缩性。     

Demography and disappearing merchandise: How older workforces influence retail shrinkage

Prior research on retail shrinkage has taken a largely individual‐level approach to theorizing about why it occurs, showing that older employees are less prone to theft and more vigilant in preventing customer shoplifting than younger personnel. However, given the influence of organizational contexts on organizational behavior, theorizing about shrinkage may be enhanced by the consideration of business‐unit level contextual variables. The present study addressed this concern by examining the relationship between store‐level age composition, whistle‐blowing (WB) climate, and shrinkage in 726 retail stores. Results indicated that the negative mean age–shrinkage relationship was stronger when there was less age diversity or a climate more supportive of WB. Moreover, the negative WB climate–shrinkage linkage was stronger when the mean age was higher. Copyright © 2011 John Wiley & Sons, Ltd.     

Green marketing mix: A case study of Brazilian retail enterprises

The challenges posed by the limited availability of resources means that retail operations and methods must be revised and redesigned. Against the current backdrop of changes, companies are seeking to innovate the way in which they market their wares. Within this context, this article discusses the “green marketing mix” from the perspective of Brazilian retail enterprises. In addition, the study described in this article sought to identify and highlight the elements that should be considered when defining strategically each variable within the green retail marketing mix. As part of this work, a case study was carried out on two Brazilian retail companies. The case analysis revealed that despite defining themselves as “green,” when their retail marketing mix was analyzed, the companies presented differing degrees of sustainability. Furthermore, expanding the theoretical framework for the green retail marketing mix is a crucial issue in the services sector, and it has significant, practical repercussions.     

Empirical Bayes calculations of concordance between endpoints in environmental toxicity experiments

Hierarchical models are considered for estimating the probability of agreement between two outcomes or endpoints from an environmental toxicity experiment. Emphasis is placed on generalized regression models, under which the prior mean is related to a linear combination of explanatory variables via a monotone function. This function defines the scale over which the systematic effects are modelled as additive. Specific illustration is provided for the logistic link function. The hierarchical model employs a conjugate beta prior that leads to parametric empirical Bayes estimators of the individual agreement parameters. An example from environmental carcinogenesis illustrates the methods, with motivation derived from estimation of the concordance between two species carcinogenicity outcomes. Based on a large database of carcinogenicity studies, the inter-species concordance is seen to be reasonably informative, i.e. in the range 67–84%. Stratification into pertinent potency-related sub-groups via the logistic model is seen to improve concordance estimation: for environmental stimuli at the extremes of the potency spectrum, concordance can reach well above 90%.     

Moisture transfer modeling during solar drying of potato cylinders considering shrinkage

In the present work, the thin layer drying kinetics of potato during natural convection solar drying was investigated experimentally. Cylindrical potato samples with length 50 mm and varying diameter of 8, 10 and 13 mm were dried in an in-house designed and fabricated laboratory scale mixed-mode solar dryer. Thirteen different thin-layer mathematical models were fitted to the experimental moisture ratio (MR) data. The obtained results indicated that the Modified Page model could satisfactorily describe the drying curve of potato cylinders with higher value of R² and lower values of RMSE and χ². The shrinkage parameter is incorporated in the analytical diffusion model to study the moisture transfer mechanism of potato cylinders. It was observed that the values of effective diffusion coefficient (D_eff) and convective mass transfer coefficient (h_m) are overestimated in the range of 85.02–90.27% and 39.11–45.11% for the range of sample diameter examined, without considering the shrinkage effect in the mass transfer analysis. A Multiphysics approach was adopted in this study to get insight into the drying behavior of potato cylinders in terms of food-moisture interactions during the solar drying process. The predicted results of MR are in close agreement with the experimental data. Moreover, the anisotropic behavior of shrinkage as well as the moisture distribution inside the potato cylinder was very well described by Multiphysics model.     

Effects of Dram Shop,Responsible Beverage Service Training,and State Alcohol Control Laws on Underage Drinking Driver Fatal Crash Ratios

Objectives: In this study, we aimed to determine whether three minimum legal drinking age 21 (MLDA-21) laws—dram shop liability, responsible beverage service (RBS) training, and state control of alcohol sales—have had an impact on underage drinking and driving fatal crashes using annual state-level data, and compared states with strong laws to those with weak laws to examine their effect on beer consumption and fatal crash ratios.

Methods: Using the Fatality Analysis Reporting System, we calculated the ratio of drinking to nondrinking drivers under age 21 involved in fatal crashes as our key outcome measure. We used structural equation modeling to evaluate the three MLDA-21 laws. We controlled for covariates known to impact fatal crashes including: 17 additional MLDA-21 laws; administrative license revocation; blood alcohol concentration limits of.08 and.10 for driving; seat belt laws; sobriety checkpoint frequency; unemployment rates; and vehicle miles traveled. Outcome variables, in addition to the fatal crash ratios of drinking to nondrinking drivers under age 21 included state per capita beer consumption.

Results: Dram shop liability laws were associated with a 2.4% total effect decrease (direct effects: β =.019, p =.018). Similarly, RBS training laws were associated with a 3.6% total effect decrease (direct effect: β =.048, p =.001) in the ratio of drinking to nondrinking drivers under age 21 involved in fatal crashes. There was a significant relationship between dram shop liability law strength and per capita beer consumption, F (4, 1528) = 24.32, p <.001, partial η² =.016, showing states with strong dram shop liability laws (Mean (M) = 1.276) averaging significantly lower per capita beer consumption than states with weak laws (M = 1.340).

Conclusions: Dram shop liability laws and RBS laws were both associated with significantly reduced per capita beer consumption and fatal crash ratios. In practical terms, this means that dram shop liability laws are currently associated with saving an estimated 64 lives in the 45 jurisdictions that currently have the law. If the remaining 6 states adopted the dram shop law, an additional 9 lives could potentially be saved annually. Similarly, RBS training laws are associated with saving an estimated 83 lives in the 37 jurisdictions that currently have the laws. If the remaining 14 states adopted these RBS training laws, we estimate that an additional 28 lives could potentially be saved.     

Mathematical modelling and experimental validation of solar drying of mushrooms

This article presents two mathematical models for drying mushrooms considering the shrinkage effect. Both the models consider the physical changes of mushrooms during drying using the diffusion equation. A convective term is presented in the first model while, in the second model, the effective diffusion co-efficient is employed. Although the diffusion co-efficient is mainly dependent on the water content of the mushrooms, both models are suitable for analyzing the drying process. Moreover, in this study it has been demonstrated that both models are equivalent. The Genetic Algorithmic process was used to estimate the parameter values in different conditions. The information regarding the moisture content and the thickness evaluation taken from the models shows the best fit with the experimental data. The mathematical models developed to simulate the drying curve of mushroom have been evaluated and compared.     

人口收缩背景下资源型城市住宅价格的差异化响应及影响因素

以中国人口收缩现象突出的资源型城市为例,分析了2005年以来案例城市人口和住宅价格的时空演变特征,从住宅价格增幅和增速两个方面比较了人口收缩期内案例城市住宅价格的差异化响应特征,通过灰色关联模型分析了住宅价格差异化响应的影响因素。结果表明：（1）中国资源型城市人口收缩现象呈加剧态势,但人口收缩期内90%的资源型城市住宅价格呈上升态势,仅黑龙江东部、甘肃西北部、山西中部等少数资源型城市住宅价格小幅下降。（2）人口收缩背景下资源型城市住宅价格响应强度差异明显。相比之下,高强度响应等级以人口中期收缩的资源型城市、衰退型与成熟型煤炭资源城市、边境与省际边缘区资源型城市为主。（3）大部分资源型城市的人口收缩和住宅价格响应关联并不紧密,其他影响因素与住宅价格响应的关联相对更为紧密,并随着住宅价格响应强度的不同存在显著差异。