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Intention of this work is to investigate the opportunity and feasibility of energy efficient networking in Home and Building automation protocols. Wired HBAS have traditionally devoted a relatively little attention to this point, especially if compared to wireless networks. This paper will try to address the issue by evaluating the introduction of power state switching in a real scenario and proposing the concept of functional and spatial adjacency among packets.

While the effects of climate change unfold and become more visible, infrastructures - especially those related to the distribution of water and energy - are the most exposed to the deep changes expected in the next years. Water is fundamental for people, and for infrastructures like energy, waste, and food production. Water sustainability is therefore a fundamental aspect to be addressed by an efficient use of the resources and by mainteining high quality standards. Hence, water industry and water infrastructure need a deep transformation; in this paper we present a framework based on complex systems and management science as a possible pathway to reshape and optimize the performance of the water infrastructure to cope with the complexity of todays' challenges. To this aim, we propose the framework Acque 2.0 (Water 2.0), where we point out how the increase of the infrastructural resilience and of the overall quality of service can be attained by integrating models, algorithms and numerical methods like network simulations and big data analytics for the predictive maintenance of water networks. We discuss how Complexity Science is the natural glue allowing technical, management and social issues to be integrated in the holistic vision of the "water system" needed play to provide measures for an integrated sustainability reporting that involves utilities, regulators, policy makers, and citizens.

Disturbance and soil fertility are some of the main drivers influencing the dynamics of herbaceous communities. Such communities are among the most biodiverse and represent a model for introducing species-rich and low-input green systems into anthropized environments, at the same time creating opportunities for conservation and restoration. Trials were set up to evaluate the effects of compost and mowing on the dynamics of purpose-sown herbaceous vegetation, inspired by the phytocenosis spontaneously growing in the nearby rural areas. Both soil properties (organic carbon, total nitrogen content, bulk density and pH) and plant species characteristics (density, biomass, height, functional traits) were determined. Our results showed that the addition of compost countered the soil compaction process with a positive effect on soil bulk density. Irrespective of compost and mowing, the amount of carbon and nitrogen in the soil was greatly influenced by the vegetation. Early season mowing increased the Shannon index and decreased the Simpson index, while over the years, with the increase in productivity, biodiversity decreased. Compost and mowing had a species-specific effect on seed mass and plant height

Fast and efficient intramolecular energy transfer takes place in the umbelliferone–alizarin bichromophore; the process is well described by the Förster mechanism.

Energy conservation in wireless sensor networks is a critical issue. An efficient method to reduce power consumption consists in powering off the nodes' wireless transceiver when communication is not needed. Under this approach sleep/wakeup schedules of different nodes have to be synchronized. In addition, during the sleep phases nodes cannot communicate, and this might result in high delay. In this paper we introduce an adaptive and low latency power-management protocol based on sleep/wakeup schedules. The protocol is well suited for data collection applications in which sensors have to periodically report to a sink. It staggers the schedules of the nodes, in order to minimize the delay. One major advantage of this protocol is that the schedules are automatically adapted based on the network congestion and on the application traffic demand, so that the network can operate efficiently and completely unattended even in very dynamic conditions. Simulation results show that our power management protocol effectively reacts to traffic and topology variations, without scarifying performance in terms of energy consumption, delivery ratio and delay. Furthermore it achieves lower energy consumption, collision ratio and delay than commonly adopted fixed sleep/wakeup schemes.

Intention of this work is to investigate the opportunity and feasibility of more energy efficient networking in wired Home and Building Automation Systems, which have traditionally devoted a relatively little attention to this issue, especially if compared to wireless networks. This paper will propose a solution to address the problem by evaluating the introduction of power state switching in a real scenario and defining the concept of functional and spatial adjacency among packets. The impact of adopting such approach will be assessed through a simulation aimed at determining the best trade-off between energy and Quality of Service.