Formal Modeling and Verification of Services Managements for Pervasive Computing Environment

International audienceVarious forms of pervasive computing environments are being deployed in an increasing number of areas including hospitals, homes and military settings. Entities in this environment provide rich functionalities (i.e. services). How to organize these heterogeneous and distributed entities to deliver user-defined services is challenging. Pantagruel is an approach to integrate a taxonomical description of a pervasive computing environment into a visual programming language. A taxonomy describes the relevant entities of a given pervasive computing area and serves as a parameter to a sensor-controller-actuator develop- ment paradigm. The orchestration of area-specific entities is supported by high-level constructs, customized with respect to taxonomical information. Pantagruel is also a language that describes and manages services. Further more, Pantagruel can be viewed as a high level service contract between the service designer and the program implementer. This paper presents a for- malization of Pantagruel, both its syntax and semantics. Four kinds of static properties are stated based on the formalization. Predicate abstraction based algorithms are designed to verify the properties

Paralogues from the expanded Tlr11 gene family in mudskipper (Boleophthalmus pectinirostris) are under positive selection and respond differently to LPS/Poly(I:C) challenge

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Association Between Acute Kidney Injury and Long-Term Mortality in Patients With Aneurysmal Subarachnoid Hemorrhage: A Retrospective Study

Background: Though acute kidney injury (AKI) in the context of aneurysmal subarachnoid hemorrhage (aSAH) worsens short-term outcomes, its impact on long-term survival is unknown. Aim: We aimed to evaluate the association between long-term mortality and AKI during hospitalization for aSAH. Methods: This was a retrospective study of patients who survived \u3e12 months after aSAH. All patients were evaluated at West China Hospital, Sichuan University, between December 2013 and June 2019. The minimum follow-up time was over 1 year. the maximum follow-up time was about 7.3 years. AKI was defined by the KDIGO (The Kidney Disease Improving Global Outcomes) guidelines, which stratifies patients into three stages of severity. The primary outcome was long-term mortality, which was analyzed with Kaplan-Meier curves and Cox proportional hazards models. Results: During this study period, 238 (9.2%) patients had AKI among 2,592 patients with aSAH. We confirmed that AKI during care for aSAH significantly increased long-term mortality (median 4.3 years of follow-up) and that risk increased with the severity of the kidney failure, with an adjusted hazard ratio (HR) of 2.08 (95% CI 1.49-2.89) for stage 1 AKI, 2.15 (95% CI 1.05-4.43) for stage 2 AKI, and 2.66 (95% CI 1.08-6.53) for stage 3 AKI compared with patients without AKI. Among patients with an AKI episode, those with renal recovery still had increased long-term mortality (HR 1.96; 95% CI 1.40-2.74) compared with patients without AKI but had better long-term outcomes than those without renal recovery (HR 0.51, 95% CI 0.27-0.97). Conclusions: Among 12-month survivors of aSAH, AKI during their initial hospitalization for aSAH was associated with increased long-term mortality, even for patients who had normal renal function at the time of hospital discharge. Longer, multidisciplinary post-discharge follow-up may be warranted for these patients

Competitions of magnetism and superconductivity in FeAs-based materials

Using the numerical unrestricted Hartree-Fock approach, we study the ground state of a two-orbital model describing newly discovered FeAs-based superconductors. We observe the competition of a $(0, \pi)$ mode spin-density wave and the superconductivity as the doping concentration changes. There might be a small region in the electron-doping side where the magnetism and superconductivity coexist. The superconducting pairing is found to be spin singlet, orbital even, and mixed s$_{xy}$ + d$_{x^{2}-y^{2}}$ wave (even parity).Comment: 5 pages, 3 figure

Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels

The determinants of CO2 emissions have attracted many researchers over the past few decades. Most of studies, however, ignore the possibility that effect of independent variables on CO2 emissions could vary throughout the CO2 emission distribution. We address this issue by applying quantile regression methods. We examine whether greater democracy and more financial openness consistently reduce emissions among the most and least emission nations. Our results show that the effect of democracy on CO2 emissions is heterogeneous across quantiles. Among the most emissions nations, greater democracy appears to reduce emissions, but more financial openness does not appear to reduce it