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Nurses have a very stressful and demanding job, which probably affects their health and well-being. This has resulted in a search for an optimal nurse schedule. Self-scheduling is one method to enhance flexibility and give more control to the employee. Literature on self-scheduling is scarce and mainly focused on the implementation process. So far, little is known about the long-term effects of self-scheduling. The comparison of effects of self-scheduling versus fixed scheduling on three dimensions of organizational justice (distributive, procedural, interactional justice) and three work attitudes (job satisfaction, affective commitment, global empowerment). This total effect is decomposed into direct and indirect effects via hypothesised mediators (leader-member exchange and organizational justice). A cross-sectional multisite-matched study. A questionnaire was distributed to nurses and nurse assistants of twelve nursing homes in Flanders (Belgium). Six matched pairs of nursing homes were formed, eace entire team.The growing size of stock market in the South Asian countries might have contributed to raising the level of industrial production and energy consumption. This upturned energy usage might have widened the scope for carbon emissions because these nations heavily rely on fossil fuels. In this milieu, therefore, in the present study, we assessed the impacts of stock market development, per capita income, trade expansion, renewable energy solutions, and technological innovations on carbon intensity in the four South Asia countries from 1990 to 2016. The empirical results based on the CS-ARDL approach revealed that stock market development, per capita income, and trade expansion invigorated carbon intensity in the South Asian countries. On the contrary, the increased usage of renewable energy solutions and technological advancement helped in reducing the energy-led carbon intensity. Further, the interaction of stock market with renewable energy, and subsequently with technological advancement delivered insignificant coefficients, which indicates the inefficacy of renewable energy and technological advancement in regulating stock market-led carbon intensity during the study period. Therefore, by considering the need for complementarity between economic growth and environmental targets, we proposed a multipronged policy framework, which may help the selected countries to attain the Sustainable Development Goals, with a special focus on SDG 7, 8, 9, and 13.Anthropogenic driven acid gases emission has caused acid rain in many regions globally. Although efforts have been made to assess the effects of acid rain on terrestrial ecosystems, a systematic assessment of growth-related traits across plant aboveground and belowground is lacking. Hence, we performed a phylogenetically controlled meta-analysis of 755 observations from 69 independent studies to quantify the effects of acid rain on six growth-related traits of plant. We estimated the inhibitory effects of acid rain on plant growth in general and found that aboveground and belowground plant parts responded differently. The acidity of acid rain and acid rain interval had direct modulation effects on plant growth. We also found that there were interactions between acid rain pH and other acid rain characteristics (i.e., acid rain interval, mole ratio of SN, and acid rain rate) and experimental characteristics (i.e., initial soil pH and plant exposure part), indicating that there were pH-dependent interaction patterns. Thus, an effective approach to evaluate and predict the effects of acid rain on plant growth is to fully consider the direct effects of acid rain pH and the interactions between acid rain pH and other factors.Financial development has been found to have mixed effects on CO2 emissions. One reason appears to be the relationship is not linear, as is assumed in most earlier studies. This paper re-examines the relationship between financial development and CO2 emissions based on a panel data of 61 countries categorised as high- and middle-income economies, from 1990 to 2018. This study uses the linear ARDL and nonlinear ARDL (NARDL) methods to analyse the impact of positive and negative shocks in financial development on CO2 emissions. Additionally, the panel causality between the variables is also investigated. The analyses from ARDL and NARDL reveal that in the long run, financial development helps to minimise CO2 emissions for high income economies, but it raises CO2 emissions and thereby decreases environmental quality for middle-income economies. Supporting our nonlinear hypothesis, we find that both negative and positive shocks of financial development have significant impacts on CO2 emissions, while the latter have a more profound effect. In particular, the findings suggest that the impacts of financial development on CO2 emissions are distinctive in high- and middle-income economies, leading to useful policy implications, including the suggestion that international development bodies help middle-income countries to incorporate consideration of environmental effects into the operation of their financial institutions and systems at an earlier stage of development than would generally be the case.Many global biodiversity hotspots have been cultivated for food for centuries and their unique agrobiodiversity is now under threat from land-use conversion, land abandonment or agricultural intensification. Wildlife-friendly farming (WFF) certification is a market-based approach that aims to alleviate the threats through charging a premium over conventional food products. This study explores the economic demand for WFF to protect biodiversity and maintain traditional rice cultivation in the Satoyama landscape of Japan by quantifying the price differential for key attributes of a landscape scale WFF scheme using choice experiments with consumers. A novel component of this study was to combine the choice experiment data with qualitative interviews with stakeholders together with observational and participatory approaches to identify underlying motivations for purchase decisions and to assess using a mixed methods approach the potential of WFF schemes to support landscape scale conservation and rural development. We found that consumer's willingness to pay (WTP) for organic rice was the highest, with a premium of 2937 JPY (26.83 USD) compared to non-organic rice. Respondents were also willing to pay more for all rice that conserves individual target species, with WTP for bird species the highest and for rice produced specifically in the traditional Satoyama landscapes. Although a WFF-Satoyama programme would bring public benefits and support rural livelihoods we suggest there are several challenges to widespread adoption that include an ageing farming population, a lack of appropriate business skills and technical capacity, and obstacles arising from Japanese land use policies concerning forestry and hunting.The purpose of this study is to investigate the effect of Free Nitrous Acid (FNA) and Free Ammonia (FA) on enhanced biological phosphorus removal (EBPR) and in particular on the aerobic phosphorus uptake rate (PUR). To this end, a PAO-enriched biomass was developed at a lab-scale reactor in order to fuel a series of ex-situ batch experiments to test the effect of various nitrite or ammonium concentrations on the phosphorus uptake rate at different pH values. FNA was found to be a strong inhibitor of EBPR, in agreement with other studies with PUR being inhibited by 50 % under 1.5 μg HNO2-N L-1 and 100 % at 13 μg HNO2-N L-1. FA was also found to inhibit EBPR with PUR being inhibited by 50 % under 6.4 mg NH3-N L-1. The results of this study suggest that EBPR under high nitrogen loading alongside nitritation-denitritation may not be a viable option.Early detection and rapid response plans are a set of principles to reduce the establishment, spread and impact of invasive species and it is a critical step in management in marine ecosystems. Two potentially invasive ascidians attached to the hull of a recently sunk fishing vessel were early detected in Patagonia. With the aim of assisting in the management decision-making process during the early steps of a rapid response, we conducted several analyses through different approaches. First, we identified the species through classic taxonomical and genetic analyses. Then, we evaluated the regional and international shipping connectivity to study potential donor regions and finally, we used species distribution models (SDMs) to predict the potential distribution of these species. The potentially invasive ascidians were identified as Styela clava and Styela plicata, and this is the first record for both species in the Nuevo gulf, Patagonia Argentina. www.selleckchem.com/TGF-beta.html Both species have a widespread distribution around the world with strong ecological and economic impacts documented. Shipping traffic analysis suggested that S. plicata could have arrived by secondary spread from regional ports, while the arrival of S. clava was likely to be associated with international shipping traffic. Furthermore, the SDM predicted that S. clava has suitable coastal areas along the entire Southwestern Atlantic shoreline, where it is currently absent. On the contrary, the SDM predicted that further southward spread of S. plicata is unlikely, being limited by the minimum annual temperature. We discussed the different approaches, tools, and expertise integrated in this work in the light of the decision-making process for the early detection of marine invasive species in the Southwestern Atlantic. Moreover, we call attention to the increased creation of artificial habitats through the intentional sinking of ships and the potential consequences of these actions in the conservation of marine ecosystems.The applicability of waste to energy conversion technique is facing many issues because of current waste management practices. Focusing on the segregation issue of low-density polyethylene (LDPE) from food waste (FW), microwave (MW) co-pyrolysis of FW and LDPE was investigated in this study. Multifactor optimization of the operating parameters, viz., residence time, LDPE in feed and temperature, was done with response surface methodology to achieve maximum bio-oil yield with a low total acid number (TAN). Bio-oil yield and TAN varied from 17 to 42 wt% and 16-45 mg KOH/g respectively, in various experimental runs. The optimum conditions for maximum bio-oil yield with minimum TAN were residence time -7 s, LDPE in the feed-13% and temperature – 550 °C. A quadratic model was developed to predict bio-oil yield and TAN as a function of operating parameters with an error less then 8.1 %. Addition of LDPE improved the bio-oil yield (by 20 %). The bio-oil also exhibited reduction in moisture content and TAN (30% and 62 %) and increase in pH and higher heating value (HHV) (40 % and 44 %). Sugars (3.09 wt%), alkanes (1.64 wt%), acids (1.07 wt%), alcohols (0.85 wt%), phenols (0.59 wt%), furans (0.58 wt%) and ketones (0.55 wt%) were the major identified compounds in the bio-oil. Thus, the high HHV and chemical composition of bio-oil indicate its potential use in boilers, engines, turbines, transportation fuels and as a renewable feed for chemical synthesis. The main mechanism for bio-oil quality improvement was the synergetic effect of FW hydrocarbon and hydrocarbon radical (•HC) and hydrogen radical (•H) of LDPE. The energy consumption analysis showed an energy requirement of 13.11 kWh/kg for bio-oil production.