108 research outputs found
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On the application and grid-size sensitivity of the urban dispersion model CAIRDIO v2.0 under real city weather conditions
There is a gap between the need for city-wide air-quality simulations considering the intra-urban variability and mircoscale dispersion features and the computational capacities that conventional urban microscale models require. This gap can be bridged by targeting model applications on the gray zone situated between the mesoscale and large-eddy scale. The urban dispersion model CAIRDIO is a new contribution to the class of computational-fluid dynamics models operating in this scale range. It uses a diffuse-obstacle boundary method to represent buildings as physical obstacles at gray-zone resolutions in the order of tens of meters. The main objective of this approach is to find an acceptable compromise between computationally inexpensive grid sizes for spatially comprehensive applications and the required accuracy in the description of building and boundary-layer effects. In this paper, CAIRDIO is applied on the simulation of black carbon and particulate matter dispersion for an entire mid-size city using a uniform horizontal grid spacing of 40gm. For model evaluation, measurements from five operational air monitoring stations representative for the urban background and high-traffic roads are used. The comparison also includes the mesoscale host simulation, which provides the boundary conditions. The measurements show a dominant influence of the mixing layer evolution at background sites, and therefore both the mesoscale and large-eddy simulation (LES) results are in good agreement with the observed air pollution levels. In contrast, at the high-traffic sites the proximity to emissions and the interactions with the building environment lead to a significantly amplified diurnal variability in pollutant concentrations. These urban road conditions can only be reasonably well represented by CAIRDIO while the meosocale simulation indiscriminately reproduces a typical urban-background profile, resulting in a large positive model bias. Remaining model discrepancies are further addressed by a grid-spacing sensitivity study using offline-nested refined domains. The results show that modeled peak concentrations within street canyons can be further improved by decreasing the horizontal grid spacing down to 10gm, but not beyond. Obviously, the default grid spacing of 40gm is too coarse to represent the specific environment within narrow street canyons. The accuracy gains from the grid refinements are still only modest compared to the remaining model error, which to a large extent can be attributed to uncertainties in the emissions. Finally, the study shows that the proposed gray-scale modeling is a promising downscaling approach for urban air-quality applications. The results, however, also show that aspects other than the actual resolution of flow patterns and numerical effects can determine the simulations at the urban microscale
Organizational Alignment through Leadership Proficiency and Human System Interventions
Across many organizations, agencies and programs have been tasked with building, training, and retaining the workforce needed. Yet, only few organizations have succeeded in their efforts by creating a culture in which workforce preferences align and overarching leadership support is provided. Such a cultural transformation requires not only a behavioral shift from employees, but especially from those in leadership positions, in order to break from the typical way that organizations have long encouraged them to behave. Although the importance of leadership has been emphasized in previous literature, no consistent description of leadership attributes or promising application of human system interventions currently exist to tackle those challenges. To understand leadership attributes and its accompanied behaviors within organizational settings, we hypothesized certain leader attributes in form of personality and communication behaviors to have a greater effect on organizational alignment and overall performance. Further, we hypothesized human system interventions in the form of leadership or group coaching to have a greater effect on leadership proficiency and ultimately on organizational alignment. The foundation of this research, here the conceptual model of leadership traits is based on a comprehensive literature review to specify leadership attributes into high-level categories of leadership communication and behaviors to align with employee preferences, thus improving cultural growth, and retention. Through a simulation-based platform the leadership proficiency attributes will be observed during a dynamic design team task. Students from the University of Alabama in Huntsville will be recruited to participate in this study. Both qualitative and quantitative data will be gathered about leader proficiency, efficiency and efficacy during the simulation. Leader qualities may be inevitable in fostering organizational alignment and cultural growth resulting in higher retention and lesser turnover rates. The data obtained will be analyzed to identify a) leadership attributes that support aligning employee preferences and b) the effect of potentially fruitful human system interventions as means for leadership, cultural and performance growth. Moreover, obtained results will be used to develop agent-based models with a focus on the representation of personality dependent attributes in models of agent interactions to display emergent agent behavior. The proposed research will identify attributes of leadership proficiency through experimental design as well as demonstrate how leadership interactions and attributes can be simulated in agent-based modeling. The goal of this research is to provide a state of the art overview of identified leadership attributes supportive towards organizational alignment and cultural growth. This is performed to advance leadership and cultural growth within organizations; and using results of the empirical and theoretical groundwork to develop in the field applications
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Knowledge Transfer with Citizen Science: Luft-Leipzig Case Study
Community-based participatory research initiatives such as “hackAir”, “luftdaten.info”, “senseBox”, “CAPTOR”, “CurieuzeNeuzen Vlaanderen”, “communityAQ”, and “Healthy Air, Healthier Children” campaign among many others for mitigating short-lived climate pollutants (SLCPs) and improving air quality have reported progressive knowledge transfer results. These research initiatives provide the research community with the practical four-element state-of-the-art method for citizen science. For the preparation-, measurements-, data analysis-, and scientific support-elements that collectively present the novel knowledge transfer method, the Luft-Leipzig project results are presented. This research contributes to science by formulating a novel method for SLCP mitigation projects that employ citizen scientists. The Luft-Leipzig project results are presented to validate the four-element state-of-the-art method. The method is recommended for knowledge transfer purposes beyond the scope of mitigating short-lived climate pollutants (SLCPs) and improving air quality
Virtual single-photon transition interrupted: time-gated optical gain and loss
The response of matter to an optical excitation consists essentially of
absorption and emission. Traditional spectroscopy accesses the
frequency-resolved and time-integrated response, while the temporal evolution
stays concealed. However, we will demonstrate here that the temporal evolution
of a virtual single-photon transition can be mapped out by a second pulsed
electromagnetic field. The resulting optical signal shows previously unexpected
optical gain and loss, which can be gated and controlled via the relative delay
of the electromagnetic fields. The model presented here can be applied to any
system that assumes a two-level character through near-resonant optical dipole
excitation, whether they are of atomic, molecular or even solid-state nature.
These theoretical observations are in excellent qualitative agreement with our
transient absorption spectroscopy study in helium. The presented results can
act as starting point for a new scheme for creating optical gain, which is a
prerequisite for the operation of lasers. It may be possible to open the doors
to spectral regions, which were difficult to access until now, e.g. in the
extreme ultraviolet.Comment: 15 pages, 4 figure
Impact of Simultaneous Exposure to Arboviruses on Infection and Transmission by Aedes aegypti Mosquitoes
The recent emergence of both chikungunya and Zika viruses in the Americas has significantly expanded their distribution and has thus increased the possibility that individuals may become infected by more than one Aedes aegypti-borne virus at a time. Recent clinical data support an increase in the frequency of coinfection in human patients, raising the likelihood that mosquitoes could be exposed to multiple arboviruses during one feeding episode. The impact of coinfection on the ability of relevant vector species to transmit any of these viruses (that is, their vector competence) has not been determined. Thus, we here expose Ae. aegypti mosquitoes to chikungunya, dengue-2 or Zika viruses, both individually and as double and triple infections. Our results show that these mosquitoes can be infected with and can transmit all combinations of these viruses simultaneously. Importantly, infection, dissemination and transmission rates in mosquitoes are only mildly affected by coinfection
Impact of Extrinsic Incubation Temperature on Natural Selection During Zika Virus Infection of Aedes Aegypti and Aedes Albopictus
Arthropod-borne viruses (arboviruses) require replication across a wide range of temperatures to perpetuate. While vertebrate hosts tend to maintain temperatures of approximately 37°C-40°C, arthropods are subject to ambient temperatures which can have a daily fluctuation of \u3e 10°C. Temperatures impact vector competence, extrinsic incubation period, and mosquito survival unimodally, with optimal conditions occurring at some intermediate temperature. In addition, the mean and range of daily temperature fluctuations influence arbovirus perpetuation and vector competence. The impact of temperature on arbovirus genetic diversity during systemic mosquito infection, however, is poorly understood. Therefore, we determined how constant extrinsic incubation temperatures of 25°C, 28°C, 32°C, and 35°C control Zika virus (ZIKV) vector competence and population dynamics within Aedes aegypti and Aedes albopictus mosquitoes. We also examined fluctuating temperatures which better mimic field conditions in the tropics. We found that vector competence varied in a unimodal manner for constant temperatures peaking between 28°C and 32°C for both Aedes species. Transmission peaked at 10 days post-infection for Aedes aegypti and 14 days for Aedes albopictus. Conversely, fluctuating temperature decreased vector competence. Using RNA-seq to characterize ZIKV population structure, we identified that temperature alters the selective environment in unexpected ways. During mosquito infection, constant temperatures more often elicited positive selection whereas fluctuating temperatures led to strong purifying selection in both Aedes species. These findings demonstrate that temperature has multiple impacts on ZIKV biology, including major effects on the selective environment within mosquitoes
Variation in Competence for ZIKV Transmission by Aedes aegypti and Aedes albopictus in Mexico
BACKGROUND: ZIKV is a new addition to the arboviruses circulating in the New World, with more than 1 million cases since its introduction in 2015. A growing number of studies have reported vector competence (VC) of Aedes mosquitoes from several areas of the world for ZIKV transmission. Some studies have used New World mosquitoes from disparate regions and concluded that these have a variable but relatively low competence for the Asian lineage of ZIKV.
METHODOLOGY/PRINCIPAL FINDINGS: Ten Aedes aegypti (L) and three Ae. albopictus (Skuse) collections made in 2016 from throughout Mexico were analyzed for ZIKV (PRVABC59-Asian lineage) VC. Mexican Ae. aegypti had high rates of midgut infection (MIR), dissemination (DIR) and salivary gland infection (SGIR) but low to moderate transmission rates (TR). It is unclear whether this low TR was due to heritable salivary gland escape barriers or to underestimating the amount of virus in saliva due to the loss of virus during filtering and random losses on surfaces when working with small volumes. VC varied among collections, geographic regions and whether the collection was made north or south of the Neovolcanic axis (NVA). The four rates were consistently lower in northeastern Mexico, highest in collections along the Pacific coast and intermediate in the Yucatan. All rates were lowest north of the NVA. It was difficult to assess VC in Ae. albopictus because rates varied depending upon the number of generations in the laboratory.
CONCLUSIONS/SIGNIFICANCE: Mexican Ae. aegypti and Ae. albopictus are competent vectors of ZIKV. There is however large variance in vector competence among geographic sites and regions. At 14 days post infection, TR varied from 8-51% in Ae. aegypti and from 2-26% in Ae. albopictus
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