SWIFT-RIMPUFF Modeling of Air Dispersion at a Nuclear Powerplant Site With Heterogeneous Upwind Topography

The SWIFT-RIMPUFF can provide refined atmospheric dispersion modeling for nuclear emergency response, but its performance for the mesoscale range in a nuclear power plant (NPP) site with highly complex topographies hasn’t been fully investigated. In this study, a validation of SWIFT-RIMPUFF was performed based on a wind tunnel experiment simulating a real China’s multi-reactor NPP site with heterogeneous upwind topography and dense buildings to understand the potential discrepancies or limits. The results demonstrate that the SWIFT-RIMPUFF can reproduce the sharp changes of wind flows for both speed and directions near the buildings, but usually overestimate the wind speed in the complex topography. For vertical wind profiles, the accuracies show high dependencies on the local topography and building layout, and the deviation of those near the building is more obvious. The simulated ground concentrations match the topographic changes of high-altitude mountains. The concentration predictions in the downwind building area are acceptable which displays that the influence of building effects can be well introduced, but the simulations in the building area still show noticeable discrepancies when compared with those in the sea area. However, such deviations do not propagate to the downwind mountainous and sea areas, which the accuracies are quite satisfactory.

Porous Shallow Water Modeling for Urban Floods in the Zhoushan City, China

Typhoon-induced intense rainfall and urban flooding have endangered the city of Zhoushan every year, urging efficient and accurate flooding prediction. Here, two models (the classical shallow water model that approximates complex buildings by locally refined meshes, and the porous shallow water model that adopts the concept of porosity) are developed and compared for the city of Zhoushan. Specifically, in the porous shallow water model, the building effects on flow storage and conveyance are modeled by the volumetric and edge porosities for each grid, and those on flow resistance are considered by adding extra drag in the flow momentum. Both models are developed under the framework of finite volume method using unstructured triangular grids, along with the Harten-Lax-van Leer-Contact (HLLC) approximate Riemann solver for flux computation and a flexible dry-wet treatment that guarantee model accuracy in dealing with complex flow regimes and topography. The pluvial flooding is simulated during the Super Typhoon Lekima in a 46 km2 mountain-bounded urban area, where efficient and accurate flooding prediction is challenged by local complex building geometry and mountainous topography. It is shown that the computed water depth and flow velocity of the two models agree with each other quite well. For a 2.8-day prediction, the computational cost is 120 min for the porous model using 12 cores of the Intel(R) Xeon(R) Platinum 8173M CPU @ 2.00 GHz processor, whereas it is as high as 17,154 min for the classical shallow water model. It indicates a speed-up of 143 times and sufficient pre-warning time by using the porous shallow water model, without appreciable loss in the quantitative accuracy.

Seismic Effects on Different Structural Members

Civil engineers deal with constructing differing types of structures with guaranteeing safety, sturdiness and utility. Currently days “earthquake “is a natural tragedy that affects the structures with their safety and utility. The quantity of harm that earthquake will cause to structures is rely upon sort of building, sort of soil, Technology used for earthquake resistance, and last however not the smallest amount Location of building. Effects of earthquake area unit mostly counting on sort of soil within which foundation of building is finished as a result of earthquake changes the motion of ground that results the failure foundation. Therefore it's vital to check the behavior of various soils at the time of construction of structures. Earthquake will be resisted by varied technologies utilized in building, one amongst these area unit shear wall. It improves the structural performance of building subjected to lateral forces because of earthquake excitation. Much analysis comes area unit afoot worldwide for development of effective ways for estimating unstable demands for performance-based engineering of buildings.

Development of selective bispecific Wnt mimetics for bone loss and repair

The Wnt signaling pathway is intricately connected with bone mass regulation in humans and rodent models. We designed an antibody-based platform that generates potent and selective Wnt mimetics. Using this platform, we engineer bi-specific Wnt mimetics that target Frizzled and low-density lipoprotein receptor-related proteins and evaluate their effects on bone accrual in murine models. These synthetic Wnt agonists induce rapid and robust bone building effects, and correct bone mass deficiency and bone defects in various disease models, including osteoporosis, aging, and long bone fracture. Furthermore, when these Wnt agonists are combined with antiresorptive bisphosphonates or anti-sclerostin antibody therapies, additional bone accrual/maintenance effects are observed compared to monotherapy, which could benefit individuals with severe and/or acute bone-building deficiencies. Our data support the continued development of Wnt mimetics for the treatment of diseases of low bone mineral density, including osteoporosis.

Significant Impacts of Rainfall Redistribution through the Roof of Buildings on Urban Hydrology

Microtopography on a building roof will direct rainfall from roofs to the ground through downspouts and transform the rainfall spatial distribution from plane to points. However, the issues on whether and how the building-induced rainfall redistribution (BIRR) influences hydrologic responses are still not well understood despite the numerous downspouts in the urban area. Hence, this study brings the roof layer into a grid-based urban hydrologic model (gUHM) to quantitatively evaluate the impacts of BIRR, aiming to enhance the understanding of building effects in urban hydrology and subsequently to identify the necessity of incorporating BIRR into flood forecasting. Nine land development strategies and 27 rainfall conditions are considered herein to characterize the changing circumstance. Results indicate that the impacts of BIRR depend on multiple circumstance factors and are nonnegligible in urban hydrology. The BIRR causes not only bidirectional impacts on the hydrologic characteristic values (e.g., peak flow and runoff volume) but also an obvious alteration of the hydrograph. Overall, the BIRR tends to increase the peak flow, and more importantly, the impact will be aggravated by the increase of rainfall intensity with the maximum relative error of peak flow approaching 10%. This study contributes to a better understanding of building effects on urban hydrology and a step forward to reduce the uncertainty in urban flood warnings.

GENERALIZAÇÃO DISCURSIVA E ENUNCIAÇÃO NAS CANTIGAS DE CONGADO EM MINAS GERAIS: UMA ABORDAGEM SEMIOLINGUÍSTICA

This paper studies the discursive generalizations in the congado songs of the Brazilian state of Minas Gerais through the Discourse Analysis of French line. From the concept of discursive generalization, developed by Ali-Bouacha (1993, [2007] 2020) and by Moirand (1990), and throught the concepts of language competences, discursive strategies and enunciation, from the Semiolinguistic theory developed by Charaudeau (1983, [2000] 2020a, 2004a, 2004b, 2005a, 2005b, [2006] 2020b, 2008), we understand that discursive generalizations would be effects of meaning based on the assignation of this discourse to a meta-enunciator, building effects of universal truth. This procedure contributes for that a knowledge set forms the identity of a social group deeply identified with the Afro-Brazilian cultural traditions.

Positive Emotions

Positive emotions have long been studied as markers of people’s overall well-being or happiness, but looking at positive emotions as outcomes is just the beginning. This chapter focuses on the various facets of positive emotions, including how they are measured (behaviorally, psychologically, physiologically), their outcomes, and their subjective experience. The broaden-and-build theory of positive emotions is described, with empirical research described that supports both the broadening effects and the building effects that arise from experiences of positive emotions. Empirical research that investigates physiological and neurological connections and intervention studies that examine the effects of positive emotions on stress, health, and resilience are discussed. Finally, future directions that examine different models of positive emotion as well as the differentiation of positive emotions are discussed.