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    Estimating Effects of Tourism using Multiple Data Sources: The Miranda Tool as Part of a Spatial Decision Support System for sustainable destination development

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    Planning for sustainable mobility and destination development in rural areas is increasingly important when tourism grows in numbers. A key to address the challenge of transformation and adaptation of local communities to mitigate adverse effects in seasonal peak hours like traffic congestion, power failure, waste management and sewage flooding, is to properly estimate the number of visitors to a destination. The problem of estimating tourism numbers is a known challenge since, for example, guest nights statistics are in-complete and non-commercial lodging (sharing solutions) are increasing. Recently, the promising utilization of mobile phone data has emerged as a means to estimate tourism volumes. Additionally, sewage data and speed camera records stand out as two alternative data sources capable of indicating tourism activity. This paper aims to introduce the Miranda-tool and its associated methodology, which together enhance the accuracy of estimating tourism volumes and their economic impacts through the use of the newly developed GIS-based DUGIS-platform. The Miranda-tool embodies both a technical GIS platform that brings together diverse data sources to estimate and present the economic effects of tourism and a procedural methodology guiding the collection of data sources and necessary stakeholder collaboration within the tourism planning framework. Using Sweden\u27s No1 winter tourism destination as a case study, this paper illustrates the Miranda-tool\u27s potential as a Spatial Decision Support System for both sustainable tourism and transport infrastructure planning. In conclusion, the Miranda tool holds potential for enhancing the comprehension of tourism volumes and their associated impacts, particularly in early-stage strategic planning processes

    First Opinion: Letters to a Prisoner

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    Purdue University Airport Terminal: Innovation to Mitigate Risk

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    Purdue University is taking an innovative approach to the construction of a new commercial terminal building at the Purdue University Airport. This presentation will share existing airport infrastructure integration and building design considerations, and will also identify the risks, challenges, strategies, and solutions involved throughout the decision-making process of the construction

    Public Speaking Level 2: The Skill of Storytelling and Persuasion

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    Building on “Public Speaking for Engineers and Public Officials,” this session will take it to the next level of public speaking. We will discuss and build skills of storytelling and persuasion and how it relates to people and public speaking

    Engineering Without Borders USA

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    Join us for an informative presentation about the mission, sustainable design practices, needs, and opportunities of the EWB (engineers without borders). This 17,000-member organization addresses clean water, sanitation, and other core living needs of small, disadvantaged international communities. EWB conducts hundreds of global projects per year and offers significant volunteer opportunities for civil, environmental, and electrical engineers and mentoring opportunities for scores of EWB student chapters

    Principles of Writing Construction Specifications and Special Provisions

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    This presentation will assist project managers and designers in preparing the necessary information required for Department contracts involving Standard Specifications and Special Provisions. Attendees will see examples of both the right and wrong ways to present a Unique Special Provision, things to avoid, and questions to ask to adhere to legal, moral, and ethical construction standards

    Quantifying Roadway Complexity for AV Freight Deployments

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    This presentation will discuss identifying economically feasible routes for deploying automated freight vehicles and evaluating the complexity of those roadways within Indiana. The focus for this analysis is the Primary Highway Freight System (PHFS), and “last-mile” routes since they may be required to access the PHFS to and from major concentrations of manufacturing and distribution centers for advanced manufacturing and logistics (AML)

    Local Agency Workforce Challenges & Opportunities

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    This session will explore the workforce issues faced by Indiana’s local road agencies and provide strategies to inform local leaders and policy makers

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    Detection and characterization of copy number variation in three differentially-selected Nellore cattle populations

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    Introduction: Nellore cattle (Bos taurus indicus) is the main beef cattle breed raised in Brazil. This breed is well adapted to tropical conditions and, more recently, has experienced intensive genetic selection for multiple performance traits. Over the past 43 years, an experimental breeding program has been developed in the Institute of Animal Science (IZ, Sertaozinho, SP, Brazil), which resulted in three differentially-selected lines known as Nellore Control (NeC), Nellore Selection (NeS), and Nellore Traditional (NeT). The primary goal of this selection experiment was to determine the response to selection for yearling weight (YW) and residual feed intake (RFI) on Nellore cattle. The main objectives of this study were to: 1) identify copy number variation (CNVs) in Nellore cattle from three selection lines; 2) identify and characterize CNV regions (CNVR) on these three lines; and 3) perform functional enrichment analyses of the CNVR identified. Results: A total of 14,914 unique CNVs and 1,884 CNVRs were identified when considering all lines as a single population. The CNVRs were non-uniformly distributed across the chromosomes of the three selection lines included in the study. The NeT line had the highest number of CNVRs (n = 1,493), followed by the NeS (n = 823) and NeC (n = 482) lines. The CNVRs covered 23,449,890 bp (0.94%), 40,175,556 bp (1.61%), and 63,212,273 bp (2.54%) of the genome of the NeC, NeS, and NeT lines, respectively. Two CNVRs were commonly identified between the three lines, and six, two, and four exclusive regions were identified for NeC, NeS, and NeT, respectively. All the exclusive regions overlap with important genes, such as SMARCD3, SLC15A1, and MAPK1. Key biological processes associated with the candidate genes were identified, including pathways related to growth and metabolism. Conclusion: This study revealed large variability in CNVs and CNVRs across three Nellore lines differentially selected for YW and RFI. Gene annotation and gene ontology analyses of the exclusive CNVRs to each line revealed specific genes and biological processes involved in the expression of growth and feed efficiency traits. These findings contribute to the understanding of the genetic mechanisms underlying the phenotypic differences among the three Nellore selection lines

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