Liliana Model Set 143
Vaniria Setser
This home with a water view features 3 Bedrooms, 2 Bath, and a 2-Car Garage. The Kitchen Front layout and open-concept floorplan make this space perfect for entertaining. The Kitchen is thoughtfully designed with luxury quartz countertops and white cabinets with crown moulding. The Windows from the Kitchen to the Great Room, large 10' tall sliding glass doors onto the Lanai, and 11'4 tall ceilings throughout allow this home to fill with natural light. All main living areas feature 12x24 veined tile flooring.
The Owner's Suite is tucked off the Great Room and is complete with a tray ceiling, spacious walk-in closet, and the Owner's Bath offers a double vanity and a semi-frameless shower enclosure.
Liliana Model Set 143
* This Move-In Ready home in The Reserve at Victoria is located in DeLand. Some home images may contain additional upgrades, finishes and/or features not included. Floorplan shown is base model and may not include structural options in this home.
All floorplans, elevations, specifications, square foot calculations, prices, amenities and product offering are subject to change without notice, errors and/or omissions. Renderings are artist's concept for illustrative purposes only and should not be relied upon when making decisions to the purchase of property. CRC057817/CGC1514916
The Domenico equation is commonly used to evaluate long term risks associated with contaminated groundwater. Numerous groundwater models are based on it, including BIOSCREEN and BIOCHLOR. This paper compares the results from BIOSCREEN, AT123D and MODFLOW/MT3D groundwater models. Results from the AT123D and MODFLOW/MT3D models indicate that BIOSCREEN significantly under estimates contaminant mobility and thus exposure risks. This was unexpected as BIOSCREEN results are commonly assumed to be extremely conservative. In fact BIOSCREEN did produce the highest downgradient concentrations; however it took unreasonable long periods of time to achieve them. Such lengthy time periods are not typically evaluated as part of a risk evaluation. Even more surprisingly BIOSCREEN produced the same peak concentration for all contaminants and for all aquifer types tested. Both contaminant concentration and travel times from AT123D and MODFLOW/MT3D models were almost identical. Furthermore these results varied with contaminants and aquifer properties as expected. The influence of biodegradation was also evaluated. Inclusion of conservative biodegradation rates made BIOSCREEN the least conservative model by far. This is because the lengthy travel times produced by BIOSCREEN provide a longer period of time over which biodegradation works.
Through the fellowship, Gallegos will receive a $34,000 stipend and $12,000 of tuition assistance, the opportunity to connect with and receive guidance from other researchers and industry professionals, as well as access to the Frontera Computing resources.
In her research, Gallegos applies quantum mechanical modeling to the molecules in a chemical reaction in order to understand the most likely reaction process to form the desired products, along with statistical modeling of the reaction.
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The complex microenvironment in which malignant tumor cells grow is crucial for cancer progression. The physical and biochemical characteristics of this niche are involved in controlling cancer cell differentiation, proliferation, invasion, and metastasis. It is therefore essential to understand how cancer cells interact and communicate with their surrounding tissue - the so-called tumor stroma - and how this interplay regulates disease progression. To mimic the tumor microenvironment (TME), 3D in vitro models are widely used because they can incorporate different patient-derived tissues/cells and allow longitudinal readouts, thus permitting deeper understanding of cell interactions. These models are therefore excellent tools to bridge the gap between oversimplified 2D systems and unrepresentative animal models. We present an overview of state-of-the-art 3D models for studying tumor-stroma interactions, with a focus on understanding why the TME is a key target in cancer therapy.
This is a position paper modelling the domain of linguistic literacy and its development through the life span. It aims to provide a framework for the analysis of language development in the school years, integrating sociolinguistic and psycholinguistic notions of variation, language awareness, and literacy in a comprehensive model. The paper focuses on those aspects of literacy competence that are expressed in language as well as aspects of linguistic knowledge that are affected by literacy competence, tracing the route that children take in appropriating linguistic literacy as part of their cognitive abilities and examining the effect of literacy on language across development. Our view of linguistic literacy consists of one defining feature: control over linguistic variation from both a user-dependent ('lectal') and a context-dependent (modality, genre, and register) perspective; of one concomitant process: metalanguage and its role in language development; and of one condition: familiarity with writing and written language from two aspects: written language as discourse style--the recognition that the kind of language used for writing is essentially different from the one used for speech; and written language as a notational system--the perception and growing command of the representational system that is used in the written modality. Linguistic literacy is viewed as a constituent of language knowledge characterized by the availability of multiple linguistic resources and by the ability to consciously access one's own linguistic knowledge and to view language from various perspectives.
Collaborative Evaluations: Step-by-Step, Second Edition is a comprehensive guide for evaluators who aim to master collaborative practice. Liliana Rodrguez-Campos and Rigoberto Rincones-Gmez present their Model for Collaborative Evaluations (MCE) with its six major components: identify the situation, clarify the expectations, establish a collective commitment, ensure open communication, encourage effective practices, and follow specific guidelines.
Fully updated to reflect the state-of-the-art in the field, each core chapter addresses one component of the model, providing step-by-step guidance, as well as helpful tips for successful application. To further demonstrate the utility of the MCE, this new edition includes recurring vignettes about several evaluators and clients, illustrating frequent questions and specific challenges that arise when evaluators take a collaborative approach. Drawing on a wide range of collaborative evaluations conducted in the business, nonprofit, and education sectors, this precise and easy-to-understand guide is ideal for students and practitioners who want to use its tools immediately.
Pizarro, Jorge, Souza, Olinto, Freitas, Luiz, Gomez, Liliana, and Juan Comas. "Three-Dimensional Modeling of Structurally Complex Reservoirs: The Revancha Field Case." Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 2001. doi: -MS
In recent years, great effort has been devoted to the development of reservoir characterization techniques and the improvement of the geological description in the simulation model. As the geological complexity increases, the use of a conventional approach to represent the reservoir geometry becomes inappropriate. The goal of this work is to present a three-dimensional modeling analysis applied to a structurally complex reservoir. A field case is discussed to illustrate the approach while the integration among all reservoir management specialties is emphasized.
This paper addresses the integrated reservoir study as part of the development plan for the Revancha field, in Colombia. This is a unique petroleum field located below the Andes Mountains. Its geological features are affected by the tectonic efforts typical of compressional basins. In fact, results from the three wells drilled so far show that there is a portion of the reservoir with nearly vertical bedding. This pattern brought great difficulty to its exploitation and, also, to its modeling. The targets of the study encompassed the evaluation of the field performance, the proposal of new wells to complement the reservoir drainage and the estimation of total reserves. It was clear, since the beginning of the analysis, that a conventional approach would not be appropriate for this kind of reservoir. Therefore, great effort was applied on the 3D geological modeling of the field using state-of-the-art tools, leading to its proper representation in the flow simulator. Using a generalized corner-point grid, the production history was matched and different production configuration schemes
were tested. Since the target for increased production was the vertical portion of the reservoir, new 3D seismic data was acquired to further detail the new well locations, considering the greater uncertainty involved. Important conclusions are reached on how some of the tools available in the market can be used to model these complex reservoirs. In addition to the field data discussion and review, this paper focuses on the modeling challenges and the options chosen to overcome the difficulties.
Objective: The Acquired Preparedness (AP) model proposes that impulsive personality traits predispose some individuals to learn certain behavior-outcome associations (expectancies), and that these expectancies in turn influence the escalation of risky behaviors. This theory has been applied to the development of behaviors such as drinking, drug use, gambling, and disordered eating. In the current study, we aimed to summarize empirical tests of this model over the 20 years since it was proposed. Method: We used a descriptive approach to summarize tests of mediation across 50 studies involving n = 21,715 total participants. Results: We observed a consistent effect of personality on expectancies (median effect size =.22), of expectancies on behavior (.24), and a small mediated effect (.05) of personality on behavior via expectancies. Impulsive traits that involve positive or negative affect showed the most consistent support for AP, as did positive expectancies. Most studies testing AP focused on alcohol, but research on other behaviors also showed support for AP. Conclusions: The literature appears to support a small mediated effect consistent with the AP model. Future research should continue to clarify which AP pathways are most influential in explaining risky behaviors, and supplement correlational research with experimental and quasi-experimental designs.
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