Robinsonhamann1464

This paper proposes a holistic approach to connect anthropogenic impacts to environmental remediation solutions. The eDPSIR (engineered-Drivers-Pressures-States-Impacts-Responses) framework aims at supporting the decision-maker in designing technological solutions for a contaminated coastal area, where the natural matrices need to be cleaned up. The eDPSIR is characterized by cause-effect relationships that are operationally implemented through three multidisciplinary toolboxes (i) Toolbox 1, to connect driving forces with pressures, classifying the state of the system and allowing the identification of target contaminants and the extent of contamination; (ii) Toolbox 2, to quantify bioaccumulation also by identifying corresponding areas; (iii) Toolbox 3, to identify the most suitable remediation solutions for previously identified contaminated areas, named contamination scenarios. The eDPSIR was calibrated on the case study of the Mar Piccolo in Taranto (Southern Italy), one of the most complex and polluted areas in Europe. While the consolidated DPSIR allows for a strategic response by limiting the use of contaminated areas or reducing upstream pressures, the eDPSIR made it possible to structure with a semi-quantitative logic the problem of assisting the decision-makers in choosing the optimal technological remediation responses for each sediment scenario of contamination (heavy metal; organic compounds; mixed). Assisted natural attenuation was identified as the best remediation technology in terms of treatment effectiveness and smallest amount of impacts involved in the project actions. However, considering the scenario of mixed contamination, in-situ reactive capping reached a good rank with a value of the composite indicator equal to 99.5%; thermal desorption and stabilization/solidification recorded a value of 94.1% and 84.6%, respectively. The application of these toolboxes provides alternative means to interpret, manage, and solve different cases of global marine contaminated sites.Since the early 2000s, an increasing number of power plants in the U.S. have switched from burning coal to burning gas and thus have released less SO2 emissions into the atmosphere. We investigated whether stream chemistry (i.e., SO42-) also benefits from this transition. Using publicly available data from Pennsylvania (PA), a U.S. https://www.selleckchem.com/products/rcm-1.html state with heavy usage of coal as fuel, we found that the impact of SO2 emissions on stream SO42- can be observed as far as 63 km from power plants. We developed a novel model that incorporates an emission-control technology trend for coal-fired power plants to quantify potentially avoided SO2 emissions and stream SO42- as power plants switched from coal to gas. The results show that, if 30% of the electricity generated by coal in PA in 2017 had been replaced by that from natural gas, a total of 20.3 thousand tons of SO2 emissions could have been avoided and stream SO42- concentrations could have decreased as much as 10.4%. Extrapolating the model to other states in the U.S., we found that as much as 46.1 thousand tons of SO2 emissions per state could have been avoided for a similar 30% coal-to-gas switch, with potential amelioration of water quality near power plants. The emission-control technology trend model provides a valuable tool for policy makers to assess the benefits of coal-to-gas shifts on water quality improvements as well as the effectiveness of emission control technologies.Despite the increased attention for temporal aspects of stressor interactions and for effects of warming in ecotoxicological studies, we lack knowledge on how different exposure durations to warming may affect pesticide sensitivity. We tested how three types of exposure duration to 4 °C warming (acute, developmental and transgenerational exposure to 24 °C vs 20 °C) shape the effect of the pesticide chlorpyrifos on two ecologically relevant fitness-related traits of mosquito larvae heat tolerance and antipredator behaviour. Transgenerational (from the parental generation) and developmental (from the egg stage) warming appeared energetically more stressful than acute warming (from the final instar), because (i) only the latter resulted in an adaptive increase of heat tolerance, and (ii) especially developmental and transgenerational warming reduced the diving responsiveness and diving time. Exposure to chlorpyrifos decreased the heat tolerance, diving responsiveness and diving time. The impact of chlorpyrifos was lower at 24 °C than at 20 °C indicating that the expected increase in toxicity at 24 °C was overruled by the observed increase in pesticide degradation. Notably, although our results suggest that transgenerational warming was energetically more stressful, it did reduce the chlorpyrifos-induced negative effects at 24 °C on heat tolerance and the alarm escape response compared to acute warming. Our results provide important evidence that the exposure duration to warming may determine the impact of a pesticide under warming, thereby identifying a novel temporal aspect of stressor interactions in risk assessment.

Addictions share common etiological factors associated with personality vulnerabilities such as narcissism or emotional instability. Also, there are gender differences in the type of and risk for addiction (e.g., men may be more prone to addictions, overall). These are considerably less understood in relation to behavioral addictions (BAs) than in substance use disorders. This study aimed to investigate associations between profiles of six potential BAs (study, shopping, gaming, Facebook, pornography, and food) and gender, personality, and well-being among Polish emerging adults, as a partial replication and extension of previous work.

In a paper-and-pencil cross-sectional study, 1182 Polish undergraduate students (mean age=20.33years; SD=1.68) completed questionnaires measuring six potential BAs alongside questions on demographic variables, personality traits (Big Five, narcissism), and well-being indicators (general quality of life, health quality, sleep quality, perceived stress, anxiety, and hopelessness).

Using latent profile analysis, four profiles were identified (1) elevated levels of study, Facebook, shopping, and food addictions; (2) elevated levels of gaming and pornography addictions; (3) low or average levels of all potential BAs, and (4) highest levels of all potential BAs. The second and fourth profiles included men predominantly, and the first profile included almost exclusively women. The fourth profile, in comparison to all other profiles, demonstrated significantly higher scores on all potential BAs, narcissism, lowest conscientiousness and emotional stability, and lowest well-being.

The results suggest that there is a general proclivity to potential BAs. Furthermore, there are gender-specific profiles of potential BAs, which at present are poorly understood.

The results suggest that there is a general proclivity to potential BAs. Furthermore, there are gender-specific profiles of potential BAs, which at present are poorly understood.