DiGeorge Syndrome Phenotypes Reflect Disrupted Interaction Between Inductive Signals and 22q11 Genes

We asked whether similar phenotypes that result from diminished 22q11 gene dosage and altered Sonic Hedgehog (Shh), Fibroblast Growth Factor (Fgf), Retinoic Acid (RA) or Bone morphogenetic protein (Bmp) signaling reflect interactions between 22q11 genes and these cardinal morphogenetic signals. When Shh, RA, Fgf, or Bmp signaling is disrupted, expression levels, but not patterns, of several 22q11 genes change in mid-gestation mouse embryos, with most substantial changes associated with altered Shh signaling. When 22q11 gene expression is diminished in mouse embryos by a deletion similar to that in DiGeorge/22q11 Deletion Syndrome (22q11DS), expression of a subset of Shh-, RA-, and Bmp-, but not Fgf-related signaling molecules is altered, with several RA intermediates most substantially changed. Shh and RA signaling, quantified using reporter mice, is altered in the brain or heart of 22q11 deleted, but not Tbx1+/-embryos, even though diminished Tbx1 dosage has been suggested as essential for 22q11DS phenotypes. Brief pharmacological disruption of Shh signaling in mid-gestation 22q11-deleted or wild type, embryos leads to severe dysmorphology. Disrupted RA signaling introduces or enhances brain and heart phenotypes in 22q11-deleted but not wild type or Tbx1+/- embryos. Thus, early heart and brain morphogenesis depends on interactions between Shh and RA signaling and 22q11 gene dosage. Apparently, 22q11 gene dosage sustains normal morphogenesis by maintaining a dynamic range of signaling that, when altered, may intensify cardiovascular and CNS phenotypes in 22q11DS.Doctor of Philosoph

Highway Performance Monitoring System Traffic Data for High-Volume Routes: Best Practices and Guidelines

The primary purpose of the Highway Performance Monitoring System (HPMS) is to serve data and information needs to reflect the condition and operating characteristics of the nation\u2019s highways. HPMS data support the analyses needed for the biennial condition and performance reports to Congress. One of the required data elements for the HPMS program is vehicle-miles traveled (VMT). VMT is derived from average annual daily traffic (AADT), so an accurate measure of AADT is essential. Traffic data collected on the highest volume routes have the most significant impact since these data represent a large share of total statewide and national travel. These routes are also often the most difficult locations to monitor. State and public agencies use various strategies to develop effective counting programs at these locations. The objective of this project is to investigate and document information that can be shared with states on various procedures being used to estimate and report traffic data on high-volume routes. This study focuses on the accurate collection of traffic data on high-volume routes, as well as the processes that accompany the collection of these data. The study develops best practices and guidelines for improving the quality of AADT estimates on these high-volume routes

The Murchison Widefield Array: Design Overview

The Murchison Widefield Array (MWA) is a dipole-based aperture array synthesis telescope designed to operate in the 80-300 MHz frequency range. It is capable of a wide range of science investigations, but is initially focused on three key science projects. These are detection and characterization of 3-dimensional brightness temperature fluctuations in the 21cm line of neutral hydrogen during the Epoch of Reionization (EoR) at redshifts from 6 to 10, solar imaging and remote sensing of the inner heliosphere via propagation effects on signals from distant background sources,and high-sensitivity exploration of the variable radio sky. The array design features 8192 dual-polarization broad-band active dipoles, arranged into 512 tiles comprising 16 dipoles each. The tiles are quasi-randomly distributed over an aperture 1.5km in diameter, with a small number of outliers extending to 3km. All tile-tile baselines are correlated in custom FPGA-based hardware, yielding a Nyquist-sampled instantaneous monochromatic uv coverage and unprecedented point spread function (PSF) quality. The correlated data are calibrated in real time using novel position-dependent self-calibration algorithms. The array is located in the Murchison region of outback Western Australia. This region is characterized by extremely low population density and a superbly radio-quiet environment,allowing full exploitation of the instrumental capabilities.Comment: 9 pages, 5 figures, 1 table. Accepted for publication in Proceedings of the IEE

Phase 2 Outreach Plan- Buffalo, NY ITS4US Deployment Project

693JJ321C000005The Buffalo NY ITS4US Deployment Project seeks to improve mobility to, from, and within the Buffalo Niagara Medical Campus by deploying new and advanced technologies with a focus on addressing existing mobility and accessibility challenges. Examples of the technologies to be deployed are electric and self-driving shuttles, a trip planning app that is customized for accessible travel, intersections that use tactile and mobile technologies to enable travelers with disabilities to navigate intersections, and Smart Infrastructure to support outdoor and indoor wayfinding. The deployment geography includes the 120-acre Medical Campus and surrounding neighborhoods with a focus on three nearby neighborhoods (Fruit Belt, Masten Park, and Allentown) with underserved populations (low income, vision loss, deaf or hard of hearing, physical disabilities (including wheeled mobility device users) and older adults). This document is the Outreach Plan for Phase 2 of the project, which identifies the outreach efforts this project will perform to promote and ensure stakeholder engagement

Phase 1 Outreach Plan- Buffalo, NY ITS4US Deployment Project

693JJ321C000005The Buffalo NY ITS4US Deployment Project seeks to improve mobility to, from, and within the Buffalo Niagara Medical Campus by deploying new and advanced technologies with a focus on addressing existing mobility and accessibility challenges. Examples of the technologies to be deployed are electric and self-driving shuttles, a trip planning app that is customized for accessible travel, intersections that use tactile and mobile technologies to enable travelers with disabilities to navigate intersections, and Smart Infrastructure to support outdoor and indoor wayfinding. The deployment geography includes the 120-acre Medical Campus and surrounding neighborhoods with a focus on three nearby neighborhoods (Fruit Belt, Masten Park, and Allentown) with underserved populations (low income, vision loss, deaf or hard of hearing, physical disabilities (including wheeled mobility device users) and older adults). This document is the Outreach Plan, which identifies the outreach efforts this pilot will perform to promote and ensure stakeholder engagement

Mobility on Demand Planning and Implementation: Current Practices, Innovations, and Emerging Mobility Futures

This report provides Mobility on Demand (MOD) planning and implementation practices and tools to support communities. The report discusses different stakeholders in the MOD ecosystem and the role of partnerships in filling spatial, temporal, and other service gaps. Additionally, the report discusses how MOD can be integrated into transportation planning and modeling. The report also discusses shared mobility implementation considerations, such as rights-of-way management, multimodal integration, data sharing, equity, labor impacts, and the role of pilot evaluations. Finally, the report discusses technology developments with implications for the MOD ecosystem, such as shared automated vehicles (SAVs), urban air mobility (UAM), and last-mile delivery innovations. This report is a practical resource with: 1) current practices for planning and implementing MOD; 2) case studies and lessons learned; 3) considerations to help public agencies advance MOD in their communities; and 4) resources and recommended reading

Mobility on Demand Planning and Implementation: Current Practices, Innovations, and Emerging Mobility Futures

This report provides Mobility on Demand (MOD) planning and implementation practices and tools to support communities. The report discusses different stakeholders in the MOD ecosystem and the role of partnerships in filling spatial, temporal, and other service gaps. Additionally, the report discusses how MOD can be integrated into transportation planning and modeling. The report also discusses shared mobility implementation considerations, such as rights-of-way management, multimodal integration, data sharing, equity, labor impacts, and the role of pilot evaluations. Finally, the report discusses technology developments with implications for the MOD ecosystem, such as shared automated vehicles (SAVs), urban air mobility (UAM), and last-mile delivery innovations. This report is a practical resource with: 1) current practices for planning and implementing MOD; 2) case studies and lessons learned; 3) considerations to help public agencies advance MOD in their communities; and 4) resources and recommended reading