Bayesian importance parameter modeling of misaligned predictors: soil metal measures related to residential history and intellectual disability in children

In this paper, we propose a novel spatial importance parameter hierarchical logistic regression modeling approach that includes measurement error from misalignment. We apply this model to study the relationship between the estimated concentration of soil metals at the residence of mothers and the development of intellectual disability (ID) in their children. The data consist of monthly computerized claims data about the prenatal experience of pregnant women living in nine areas within South Carolina and insured by Medicaid during January 1, 1996 and December 31, 2001 and the outcome of ID in their children during early childhood. We excluded mother-child pairs if the mother moved to an unknown location during pregnancy. We identified an association of the ID outcome with arsenic (As) and mercury (Hg) concentration in soil during pregnancy, controlling for infant sex, maternal race, mother’s age, and gestational weeks at delivery. There is some indication that Hg has a slightly higher importance in the third and fourth months of pregnancy, while As has a more uniform effect over all the months with a suggestion of a slight increase in risk in later months.     

Transdisciplinary research in support of land and water management in China and Southeast Asia: evaluation of four research projects

Transdisciplinary research (TDR) aims at identifying implementable solutions to difficult sustainability problems and at fostering social learning. It requires a well-managed collaboration among multidisciplinary scientists and multisectoral stakeholders. Performing TDR is challenging, particularly for foreign researchers working in countries with different institutional and socio-cultural conditions. There is a need to synthesize and share experience among researchers as well as practitioners regarding how TDR can be conducted under specific contexts. In this paper, we aim to evaluate and synthesize our unique experience in conducting TDR projects in Asia. We applied guiding principles of TDR to conduct a formative evaluation of four consortium projects on sustainable land and water management in China, the Philippines, and Vietnam. In all projects, local political conditions restricted the set of stakeholders that could be involved in the research processes. The set of involved stakeholders was also affected by the fact that stakeholders in most cases only participate if they belong to the personal network of the project leaders. Language barriers hampered effective communication between foreign researchers and stakeholders in all projects and thus knowledge integration. The TDR approach and its specific methods were adapted to respond to the specific cultural, social, and political conditions in the research areas, also with the aim to promote trust and interest of the stakeholders throughout the project. Additionally, various measures were implemented to promote collaboration among disciplinary scientists. Based on lessons learned, we provide specific recommendations for the design and implementation of TDR projects in particular in Asia.     

Presence of PAHs in milk of industrial farms from Tizayuca,Hidalgo, Mexico

The objective of this study was to determine the concentrations of polycyclic aromatic hydrocarbons (PAHs) in cow's milk from industrial farms that are located near an industrial park in Hidalgo, Mexico. It was found that the concentrations of PAHs in the raw milk of cattle from industrial farms have increased in recent years. Composite samples were collected between 2008 and 2010 and analysis carried out according to 8100 EPA procedures and analyzed by gas chromatography with FID detection. The results show that combustion PAHs were mostly Ace, Acy, and Fla (0.25, 0.32, and 0.22 µg g^?1, respectively). Diagnostic ratios were used to show that the probable sources were grass and fuel combustion. The sum of concentrations of 16 individual PAHs did not breach permissible levels in milk (25 µg g^?1 according to the United States EPA), indicating a limited health risk to animals and humans in the study area. The industrial park has adequate pollutant emission regulations.     

As(V) retention on soils and forest by-products and other waste materials

As(V) retention capacity is determined by means of adsorption/desorption trials performed for coarse and fine ground mussel shell, forest and vineyard soils with or without fine shell, pine wood ash, oak wood ash, pine sawdust and slate-processing fines. Pine ash shows the highest arsenic retention potential (with >97 % adsorption and ≤1 % desorption), followed by shell-amended forest soil (adsorption between 96 and 92 %), by un-amended forest soil (adsorption between 98 and 86 %) and by the amended vineyard soil (adsorption between 92 and 75 %). Sawdust is the material with the lowest arsenic retention capacity in most cases, with un-amended vineyard soil also showing poor results. In the case of oak ash, As(V) percentage adsorption becomes higher with increasing added arsenic concentrations, while this increase in added arsenic causes lower percentage adsorption in the case of slate fines. Regarding adsorption ability, As(V) adsorption data were fitted to Freundlich and Langmuir models, showing good fitting, with pine ash and shell-amended forest soil having the highest K _F values. In view of that, mussel shell amendment would be useful to increase arsenic retention on forest and vineyard soils, while pine ash could be used to retain arsenic even from wastewaters.     

Use of a general toxicity test to predict heavy metal concentrations in residential soils

Significant clusters of developmental delay and mental retardation (DD/MR) were identified in children born in South Carolina. Although it is difficult to identify one factor that causes DD/MR, environmental insult including exposure of pregnant women to heavy metals can induce DD/MR in their children. Because it is expensive to measure the concentrations of individual metals in large numbers of environmental samples, the general Microtox toxicity test was used to identify highly toxic soil samples. Approximately 100 soil samples were collected from residential areas and analyzed to determine an effective concentration (EC(50)) of soil required to inhibit 50% light emission of the luminescent bacterial test organism (Vibrio fischeri). The EC(50) values were then transformed to relative toxicity units (RTU). A subset of 56 high and low toxicity soil samples was then analyzed by inductively coupled plasma-atomic emission spectrometry (EPA method 6010) for arsenic, lead, and chromium, which are known neurotoxins. The highest measured arsenic concentration was 30 times higher than the South Carolina residential soil limit. Significant correlations were found between the RTU and soil arsenic and chromium concentrations. Microtox also identified some low arsenic and chromium samples as toxic, presumably because additional unidentified toxicants were present in the soil. In general, however, the Microtox test was effective in identifying soils with elevated concentrations of arsenic and chromium, even in residential neighborhoods where limited soil toxicity was expected.     

Demystifying the challenges and barriers to manage,develop, and transfer clean and green technologies in Brazilian academic research groups: Some empirical evidence

This work presents empirical evidence of the main challenges in managing/leading academic research groups on clean and green technologies in Brazilian universities. We also present evidence about the main barriers to the effective creation of innovation and technology transfer of these clean and green technologies. Empirical evidence come from PhD researchers/academics who lead/manage official research groups on clean (environmental, green) technologies. Results show the following: (a) The main challenges of managing research groups are the lack of an innovative culture, the lack of partnership with an industrial sector, and the necessity of keeping laboratories updated; (b) the main barriers to innovation and technology transfer are difficulties in not having enough researchers and staff members, assessments of academic performance that do not consider innovation, and an uncertain national legislation on clean technology. Based on these and others’ findings, we suggest that policymakers working on clean and green technologies pay attention to act and develop initiatives focusing on the following: providing direct financial support for laboratory improvement, linking academics and practitioners from the industrial sector, and providing training and development programs on clean and green technologies’ legislation and financial issues, such as the payoff of clean and green technologies and opportunities from green investors.     

Removal of Cr(VI) from water by in natura and magnetic nanomodified hydroponic lettuce roots

Environmental Science and Pollution Research - Biosorption is a viable and environmentally friendly process to remove pollutants and species of commercial interest. Biological materials are...     

Chemical composition determines the bioenergy potential of food waste from pre- and post-production

Journal of Material Cycles and Waste Management - The chemical characterization of the food waste allowed to discriminate between the pre-preparation and post-preparation residues from a...     

Lead, cadmium and arsenic bioavailability in the abandoned mine site of Cabezo Rajao (Murcia, SE Spain)

An in vitro method that simulated the physiological conditions of the digestive process was applied to samples taken from an old mining site, providing information on the levels of metals (Cd, Pb and As) that can be ingested and assimilated by humans. Samples were first characterized by determining pH, texture, mineralogical composition and total metal contents. The mean pH value was 5.4, ranging from 3.1 to 8.4. The mean total metal content for Pb was 2,632+/-59 mg kg(-1), 65+/-1.5 mg kg(-1) for Cd and 279.9+/-9.9 mg kg(-1) for As. Cadmium was the most bioavailable metal both in the stomach and intestinal phases (mean value of 47% and 27.8%, respectively), followed by lead (25.3% and 11.5%) and arsenic (4.9% and 0.5%). A Pearson correlation matrix suggested that pH and mineralogical composition were important factors controlling metal bioavailability from materials in abandoned mining sites.