The support for the elderly is facing big challenges with the problem of population aging. Transfers from adult children could partly insure elderly parents against low income and high medical expenditure. There are two main motives for transfers in the literature, namely altruism and exchange. Using data from a new household survey of people aged 45 and above in China, we estimate the transfer derivatives with the adjustment of medical expenditure in elderly parents’ income. We find a large negative impact of adjusted income on transfers at the lower end of income distribution, which is consistent with the altruistic motive. Evidence on the exchange motive is found only for sons, but not for daughters. In addition, there is evidence on the “exchange-for-service” motive, which interprets transfer as a payment to parents’ family services, such as taking care of grandchildren.
Pd is the only metal that can catalyze electrochemical CO 2 reduction to formate at close-to-zero overpotential. It is unfortunately subjected to severe poisoning by trace CO as the side product and suffers from deteriorating stability and selectivity with increasing overpotential. Here, we demonstrate that alloying Pd with Cu in the form of twodimensional nanodendrites could enable highly stable and selective formate production. Such unique bimetallic nanostructures are formed as a result of the rapid in-plane growth and suppressed out-of-plane growth by carefully controlling a set of experimental parameters. Thanks to the combined electronic effect and nanostructuring effect, our alloy product catalyzes CO 2 reduction to formate with remarkable stability and selectivity under the working potential as cathodic as −0.4 V. Our results are rationalized by computational simulations, evidencing that Cu atoms weaken the *CO adsorption and stabilize the *OCHO adsorption on neighboring Pd atoms.
Recently, many efforts have been devoted to explore the integration of Internet of Things (IoT) and ServiceOriented Computing (SOC). These works allow the real-world devices to provide their functionality as web services. However, two important issues, unreliable service providing and resource constraints, make the modeling and analysis of service composition in IoT a big challenge. In this paper, we propose a probabilistic approach to formally describe and analyze the reliability and cost-related properties of the service composition in IoT. First, a service composition in IoT is modeled as a finite state machine (FSM) which focuses on the functional part. Then, we extend this FSM model to a Markov Decision Process (MDP), which can specify the reliability of service operations. Furthermore, we extend MDP with cost structure, which can represent the different service quality attributes for each operation, such as energy consumption, communication cost, etc. The desirable quality properties of the service composition are specified by a probabilistic extension of temporal logic PCTL. We adopt a well-established probabilistic model checker PRISM to verify and analyze those properties of our service composition models.
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