Exercise interventions improve physical fitness, cognitive and affective function, and quality of life among nursing home residents. However, little is known regarding the consequences of cessation of activity, or detraining. We analyzed physical fitness, physical activity level, cognitive function, quality of life, and loneliness during a 6-month observational follow-up after a 6-month randomized controlled trial in which nursing home residents performed either routine activities (control group) or group-based exercise (intervention group). The intervention group showed an important decline in most physical fitness and cognitive function parameters after a 6-month detraining period. These results highlight the importance of recreation as part of residents' care needs, and exercise should therefore be implemented continuously.The aim of this study is to explore how staff manage apathy involving a person living with dementia (PLWD). Forty-two staff members working in four Spanish long-term care facilities were interviewed; 21 were nursing assistants and 21 technical staff. They read a vignette about a PLWD presenting apathy. Participants were asked (1) how a situation like that is commonly managed, and (2) how it should be managed. Responses were content-analyzed. Most participants (88.1%) mentioned having experienced a situation similar to the one described in the vignette. Behavior-focused strategies and person-centered strategies were the most frequently mentioned. As for best practices, person-centered strategies emerged as the preferred alternative, and technical staff mentioned them more frequently than assistant carers. Our findings stress the importance of organizational guidelines and staff development in the management of apathy in PLWD.The long-term supply of ecosystem services is dependent on properly functioning ecosystems and their susceptibility to natural and anthropogenic disturbances such as climate change and urbanization, as they can alter ecosystem structure and function. Forest function is not static, but rather a risky asset that fluctuates and can decrease as a result of forest disturbance. Therefore, concepts such as resilience and insurance value as well effective policy formulation, management, and restoration are key to maintaining these benefits. This study estimates the insurance value that the public places on a policy that promotes restoration for increased resilience and ecosystem services using binary choice (BC) and best-worst scaling (BWS) models to estimate willingness to pay (WTP) and to vote for the restoration of longleaf pine (LLP) forests in the southeastern United States. https://www.selleckchem.com/products/azd9291.html Our BWS findings indicate that respondents seemed to only prefer programs with low risk of forest damage and lower monthly costs, while BC models show that low and moderate risk programs increased the likelihood of voting for them and that excellent wildlife habitat was also highly valued by our respondents. Positive attitudes towards the environment also positively influence voting for forest restoration programs. Findings contribute to an emerging body of literature on social-ecological systems and how the voting public conceptualizes trade-offs among ecosystem services, insurance value, and resilience. Results may help assess the use and incorporation of concepts such as resilience, ecosystem services, and insurance value in restoration, environmental, fire management, and climate change-related policy instruments and programs.Effects of external disturbances such as the population change on dynamics of water supply, power generation and environmental (WPE) systems have seldom been investigated. Following the WPE nexus profiled in the study of Feng et al. (2016), this study incorporated stochasticity of population, water supply and power generation into the modeling of the dynamical system in the Hehuang region of China, and further quantified resilience measures to understand the system's ability to withstand stochastic disturbances. First, the stochastic differential equations were used to improve the simulation of stochasticity in the WPE nexus. Next, the transient probability distribution functions (pdfs) of system variables, obtained by Monte Carlo simulation, were used to describe the evolutionary process of the system. Finally, the stationary pdfs of variables which reflect stable states of the system were derived to calculate four resilience measures. It is shown that (1) The system approached a stable state after Year 2400 by calculating the L2 norm of the difference between transient and stationary pdfs. (2) The environmental system was identified as the most vulnerable subsystem because of its long convergence time. (3) The water supply system did not change greatly and it would remain stable at its current low level, i.e., water consumption per capita would be less than 80m3. The method adopted in this study is conducive to avoiding risk and the results provide valuable insights for regional management of a WPE nexus.Carbon dioxide (CO2) and methane (CH4) produced by denitrification bioreactors in processing agricultural surface runoff have contributed to increasing proportion of greenhouse gases (GHG) emissions. It is the first time to monitor and quantify the emission flux of CO2 and CH4 produced by laboratory-scale denitrification bioreactors which recycled waste Cunninghamia lanceolata sawdust (CLS) and industrial sludge (IS) as fillers to process simulated agricultural surface runoff. Sludge-water ratio, inflow rate and water flow direction are used as experimental factors to study the effect on the emission flux of CO2 and CH4. Results show that emission flux of CO2 from denitrification bioreactors with different sludge-water ratio approached 20 mg m-2h-1, simultaneously the average emission flux of CH4 produced by all bioreactors was 1.785 mg m-2h-1. The addition of sludge increased the emission flux of CH4 and had no significant effect on the emission flux of CO2. Increasing the inflow rate reduced the CO2 emission flux from 21.57 to 1.27 mg m-2h-1, and at the same time increased the CH4 emission flux from 0.007 to 9.54 mg m-2h-1. The gravity flow of wastewater reduced the emission flux of CO2 and CH4. The emissions of CO2 and CH4 from folded plate denitrification bioreactor with CLS and industrial sludge with a volume ratio of 12 can be reduced by 24.67% and 73.3%, respectively. There was no need to add special gas collection and treatment devices because CO2 and CH4 emission fluxes produced by the folded plate denitrification bioreactor and gravity denitrification bioreactor are not enough to increase the greenhouse effect. This study quantified the CO2 and CH4 produced by denitrification bioreactors filling CLS and IS, and provided a reference for future research on the gases produced by the denitrification process.