5,266 research outputs found
Rayleigh--Taylor turbulence in two dimensions
The first consistent phenomenological theory for two and three dimensional
Rayleigh--Taylor (RT) turbulence has recently been presented by Chertkov [Phys.
Rev. Lett. {\bf 91} 115001 (2003)]. By means of direct numerical simulations we
confirm the spatio/temporal prediction of the theory in two dimensions and
explore the breakdown of the phenomenological description due to intermittency
effects. We show that small-scale statistics of velocity and temperature follow
Bolgiano-Obukhov scaling. At the level of global observables we show that the
time-dependent Nusselt and Reynolds numbers scale as the square root of the
Rayleigh number. These results point to the conclusion that Rayleigh-Taylor
turbulence in two and three dimensions, thanks to the absence of boundaries,
provides a natural physical realization of the Kraichnan scaling regime
hitherto associated with the elusive ``ultimate state of thermal convection''.Comment: 4 pages, 5 figure
Global Trade Impacts: Addressing the Health, Social and Environmental Consequences of Moving International Freight Through Our Communities
Examines freight transportation industry trends; the impact of global trade on workers, the environment, and health in both exporting and importing countries; and organizing strategies and policy innovations for minimizing the damage and ensuring health
The challenges of the planned management of the territory, in the relationship province- municipalities : the design of Mendoza's territorial management plan
Fil: Lara, Andrea Juliana.
Universidad Nacional de Cuyo. Facultad de Derech
Social Work Education that Addresses Trafficking for Sexual Exploitation: An intersectional, anti-oppressive practice framework
Practice, policy, and research focused on trafficking for sexual exploitation and commercial sex involvement occur in the United States within a white, heteronormative social environment that must be addressed pedagogically in the classroom. Social work education increasingly includes the topic of trafficking for sexual exploitation as a stand-alone course or as sessions embedded within other courses. Yet, very little scholarship critically examines how instruction in social work on this topic can apply intersectional, anti-oppressive frameworks across micro, mezzo, and macro levels. Furthermore, current literature suggests that some social workers use exclusionary practices when addressing trafficking and commercial sex involvement, further exemplifying the need for anti-oppressive curricula. The purpose of this paper is to critically analyse how key anti-oppressive theoretical and practice frameworks should influence education on trafficking for sexual exploitation and commercial sex involvement in social work. Written by two scholars and social work instructors, we describe how we apply these frameworks to pedagogical exercises in social work courses. Finally, we argue that intersectional, anti-oppressive social work education is critical to training social work students and, ultimately, addressing the needs of people experiencing or at risk of trafficking
Business model innovation: harnessing big data analytics and digital transformation in hostile environments
PurposeThe literature mainly concentrates on the relationships between externally oriented digital transformation (ExtDT), big data analytics capability (BDAC) and business model innovation (BMI) from an intra-organizational perspective. However, it is acknowledged that the external environment shapes the firm's strategy and affects innovation outcomes. Embracing an external environment perspective, the authors aim to fill this gap. The authors develop and test a moderated mediation model linking ExtDT to BMI. Drawing on the dynamic capabilities view, the authors' model posits that the effect of ExtDT on BMI is mediated by BDAC, while environmental hostility (EH) moderates these relationships.Design/methodology/approachThe authors adopt a quantitative approach based on bootstrapped partial least square-path modeling (PLS-PM) to analyze a sample of 200 Italian data-driven SMEs.FindingsThe results highlight that ExtDT and BDAC positively affect BMI. The findings also indicate that ExtDT is an antecedent of BMI that is less disruptive than BDAC. The authors also obtain that ExtDT solely does not lead to BDAC. Interestingly, the effect of BDAC on BMI increases when EH moderates the relationship.Originality/valueAnalyzing the relationships between ExtDT, BDAC and BMI from an external environment perspective is an underexplored area of research. The authors contribute to this topic by evaluating how EH interacts with ExtDT and BDAC toward BMI
The regulation of real estate in the Mendoza's territorial management plan
Fil: Lara, Andrea Juliana.
Universidad Nacional de Cuyo. Facultad de DerechoFil: Pujol, Irene.
Universidad Nacional de Cuyo. Facultad de Derech
Automatic sleep apnea detection and sleep classification using the ECG and the SpO2 signals
Dissertation for a Masters Degree in Computer and Electronic EngineeringThe present work describes the aspects to implement a system that can be used as a swift and accessible screening tool in patients whose complaints are compatible
with OSAS (Obstructive Sleep Apnea Syndrome). This system only uses two signals,
electrocardiogram (ECG) and the saturation of oxygen in arterial blood flow (SPO2).
This system would be applied for the ambulatory automatic screening of OSAS, which
currently are done in a Hospital environment, with a substantial waiting list. The system also would overcome the time consuming visual sleep scoring that contributes for the mentioned waiting list. We have developed a system that automatically detects OSAS based on the ECG and SpO2. However this system has to be paired up with another that detects the awake/sleep/REM periods (also based on the ECG), which is also part of this work. This last component has proved to produce results that are complex to classify,for which there is still a lack of research work. However we have described the necessary algorithms, and have used state-of-the-art signal processing tools, such as wavelets
Heterogeneity among professions and professionals
This article engages with the trends affecting professional work, in the context of changing labour markets and societies. Our argument is straightforward: critical processes of change have triggered multiple differentiationprocesses, resulting in an increasing heterogeneity among professions and professional; as such, heterogeneity can be better understood in the context of a coherent multi-dimensional analytical framework. These changes, both driven by and impacting on the labour market, call for a deeper understanding of the world of professions, as it is situated in new circumstances. Not only are there more professionals than ever, but they also are more diverse (and unequal), in one word: professions are now characterized by increasing heterogeneity
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