Heteroscedastic Reaction Norm Models Improve the Assessment of Genotype by Environment Interaction for Growth, Reproductive, and Visual Score Traits in Nellore Cattle.

The assessment of the presence of genotype by environment interaction (GxE) in beef cattle is very important in tropical countries with diverse climatic conditions and production systems. The present study aimed to assess the presence of GxE by using different reaction norm models for eleven traits related to growth, reproduction, and visual score in Nellore cattle. We studied five reaction norm models (RNM), fitting a linear model considering homoscedastic residual variance (RNM_homo), and four models considering heteroskedasticity, being linear (RNM_hete), quadratic (RNM_quad), linear spline (RNM_l-l), and quadratic spline (RNM_q-q). There was the presence of GxE for age at first calving (AFC), scrotal circumference (SC), weaning to yearling weight gain (WYG), and yearling weight (YW). The best models were RNM_l-l for YW and RNM_q-q for AFC, SC, and WYG. The heritability estimates for RNM_l-l ranged from 0.07 to 0.20, 0.42 to 0.61, 0.24 to 0.42, and 0.47 to 0.63 for AFC, SC, WYG, and YW, respectively. The heteroskedasticity in reaction norm models improves the assessment of the presence of GxE for YW, WYG, AFC, and SC. Additionally, the trajectories of reaction norms for these traits seem to be affected by a non-linear component, and selecting robust animals for these traits is an alternative to increase production and reduce environmental sensitivity.

Research on the Development of Religious Tourism and the Sustainable Development of Rural Environment and Health.

The purpose of the research is to explore how to reach a consensus on the development of cultural tourism and the sustainability of the entire rural environment from the perspective of different rights holders. Using Beigang Township in Taiwan as a case study, we first conducted a questionnaire survey and analyzed 600 respondents by statistical verifications method, then used an interview method to compile suggestions from experts and scholars, and finally conducted a field survey to collect actual information. After summarizing, organizing, and analyzing all the data, the study was examined in a multivariate manner. This study concludes that creating parking spaces, providing a comfortable resting place, facilitating the exchange of ideas, and improving the environmental literacy of the public will increase the public attention to issues such as village visibility, people interaction, ancient architecture, culture and totems, public health and transportation, and entrepreneurial development, as well as address the concerns of local residents and some men and people over 31-40 years old. By doing so, we can improve community building and security, enrich cultural resources, build and develop sufficient industries, stabilize prices, obtain a safe and hygienic village environment, increase the desire to revisit, become a recommendation for family travel, and achieve the goal of sustainable development of rural environment and health.

Assessment of coastal ecosystems vulnerability to pollution: Algiers coast, Algeria.

Coastal areas are frequently influenced by direct and/or indirect multiple anthropogenic pressures, which impacts marine life. Those perturbations may act in a heterogeneous way with a different intensity and are related to the complexity of coastal ecosystems. To visualize all these interactions at a local scale, a methodology inspired from many researches has been implemented in order to search, identify, and classify coastal ecosystems according to their sensitivity to anthropic pressure exerted by coastal cities. Thus, producing vulnerability maps will be essential tools to local coastal managers. We have applied this methodology on five coastal municipalities in Algiers. Firstly, the environmental sensitivity of coastal ecosystems was assessed by analyzing these four sub-indices: biological sensitivity, geomorphological sensitivity, hydrodynamic characteristics, and pollution intensity. Secondly, an assessment of the anthropogenic pressures presented by each municipality was carried out. Five sub-indexes have been taken into consideration when conducting this assessment: human activities, infrastructures, vectors of pollution, urbanization, and regulatory protection. Then, vulnerability maps were produced by the overlapping of sensitivity and anthropic pressure maps. The results assessed for the environmental vulnerability indicated that most areas are moderately to highly vulnerable, especially in the municipalities of Bab El Oued, Rais Hamidou, and Ain Bénian. The analysis of the obtained results shows the potential applicability of this methodology because they accurately reflect the reality. Therefore, these results can be useful to decision-makers by providing them with a relatively rational decision-making tool to prioritize future management and planning efforts.

A causation-based method developed for an integrated risk assessment of heavy metals in soil.

A comprehensive and fact-based risk assessment of heavy metals in soils is paramount for defining strategies for environmental management. However, the risk assessment approaches of heavy metals in soils are often incomplete, in particular, causation-based pollution source apportionment is absent at present. Here, we developed a causation-based method framework of an integrated risk assessment of soil heavy metals. This method framework involves risk identification, causation-based source apportionment and an environmental sensitivity assessment. Dongtang Township in Guangdong Province, China was used as a case study. We found that air Cd, the background value and metallurgical industries (Danxia and Fankou plants) were identified as the major causes of soil Cd, and air and soil Cd as well as water Cd interacted causally. Danxia and Fankou plants, the mining area and background value were the major causes of soil Pb. The risk level and environmental sensitivity of the Danxia and Fankou plants were assessed. This is the first study to establish a causation-based method framework of an integrated risk assessment of soil heavy metals. This framework promotes systematic integration of risk assessment of soil heavy metals and expands traditional research on pollution source apportionment from a correlation-based approach to crucial insights into causation.

Assessment of the environmental risk perceptions and environmental attitudes of nursing students.

PURPOSE: This is a descriptive study examining nursing students' perceptions of the environmental risks and their environmental attitudes. METHODS: The study population comprised 2364 nursing students studying at universities in Istanbul in the fall semester of the 2012-2013 academic year. The sampling group was formed by 778 students which were selected by a stratified random sampling procedure. The data were collected using "The Student Personal Information Form", "The Environmental Risk Perception Scale" and "The Environmental Attitudes Scale". FINDINGS: The students' mean score on perceptions of environmental risk was 6.04 ± 0.81(min 2.56; max 7.00) and the mean score of their environmental attitudes was 4.02 ± 0.47(min 2.28; max 5.00). It was determined that factors such as gender, interest in environmental issues, endorsement of the college course on environment as necessary, and participation in an environmental activity and awareness of non-government environmental organizations affected the environmental risk perception and environmental attitudes. A moderate positive relationship (r = 0.366, p < .001) was found between the students' environmental risk perceptions and their environmental attitudes. CONCLUSION: Effective environmental education should be planned at all stages of the nursing education.

Environmental sensitivity mapping and risk assessment for oil spill along the Chennai Coast in India.

Integration of oil spill modeling with coastal resource information could be useful for protecting the coastal environment from oil spills. A scenario-based risk assessment and sensitivity indexing were performed for the Chennai coast by integrating a coastal resource information system and an oil spill trajectory model. The fate analysis of spilled oil showed that 55% of oil out of a total volume of 100m(3) remained in the water column, affecting 800m of the shoreline. The seasonal scenarios show major impact during the southwest (SW) and northeast (NE) monsoons and more fatal effects on marine pelagic organisms during SW monsoon. The Oil Spill Risk Assessment Modeler tool was constructed in a geographic information systems (GIS) platform to analyze the risks, sensitivity mapping, and priority indexing of resources that are likely to be affected by oil spills along the Chennai coast. The results of sensitivity mapping and the risk assessment results can help organizations take measures to combat oil spills in a timely manner.

Modelling and assessment of the impact of radiocesium and radiostrontium contamination in the Thermaikos Gulf, Greece.

A radiological model for (137)Cs and (90)Sr dispersion in the marine environment of the Thermaikos Gulf, Greece, and the river catchments draining into the Gulf, is presented. The model, developed and implemented within the MOIRA-PLUS decision support system, integrates appropriate site-specific information. The model's performance has been tested using the available empirical (137)Cs activity concentration data in abiotic and biotic components of the gulf since the Chernobyl accident. Further, this paper describes the results of a modelling exercise performed within the IAEA's EMRAS II international modelling programme to estimate the environmental sensitivity of this characteristic Mediterranean coastal marine environment following radioactive contamination. The radiation doses to humans after a single hypothetical instantaneous deposition of 1000 Bq m(-2), assuming that all of their food intake from the marine pathway comes from the local environment, were calculated. The obtained results are consistent with estimates from other models for different coastal marine environments in the frame of the above-mentioned EMRAS exercise.

Unmet health care needs for persons with environmental sensitivity.

Studies of unmet health care needs have shown that women, people with poor health, and people with lower socioeconomic status are more likely to report having unmet health care needs. In this study, we examined the types of and reasons for unmet health care needs in 465 people with environmental sensitivities. A second area of inquiry involved negative reactions to general anesthesia. Results showed that the most common barriers to receiving care were the inability to find a provider who understands environmental sensitivities and a lack of accessibility due to chemical and electromagnetic exposures in health care environments. Lower income and poorer health (longer illness, a worsening or fluctuating course of illness, and a higher level of disability) were significantly correlated with the total number of reported unmet health care needs. Some people with environmental sensitivities reported having negative reactions to anesthesia of long duration; most common were nausea and vomiting, fatigue, and reduced cognitive ability.