1,297 research outputs found

    Digital Dissemination Platform of Transportation Engineering Education Materials Founded in Adoption Research

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    INE/AUTC 14.0

    Knowledge Transfer Needs and Methods

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    INE/AUTC 12.3

    Naturally Occurring Asbestos in Alaska and Experiences and Policy of Other States Regarding its Use

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    INE/AUTC 09.0

    Evaluation of Risk in Change Orders Report for AKDOT Construction Staff

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    INE/AUTC 11.0

    Enabling Data-Driven Transportation Safety Improvements in Rural Alaska

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    Safety improvements require funding. A clear need must be demonstrated to secure funding. For transportation safety, data, especially data about past crashes, is the usual method of demonstrating need. However, in rural locations, such data is often not available, or is not in a form amenable to use in funding applications. This research aids rural entities, often federally recognized tribes and small villages acquire data needed for funding applications. Two aspects of work product are the development of a traffic counting application for an iPad or similar device, and a review of the data requirements of the major transportation funding agencies. The traffic-counting app, UAF Traffic, demonstrated its ability to count traffic and turning movements for cars and trucks, as well as ATVs, snow machines, pedestrians, bicycles, and dog sleds. The review of the major agencies demonstrated that all the likely funders would accept qualitative data and Road Safety Audits. However, quantitative data, if it was available, was helpful

    Selection of Preservatives for Marine Structural Timbers in Herring Spawning Areas

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    INE/AUTC 12.2

    Serving Future Transportation Needs: Succession Planning for a State Department of Transportation Organization, Its People & Mission

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    INE/AUTC 12.0

    Construction Dust Amelioration Techniques

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    INE/AUTC 12.0

    Effect of mattress deflection on CPR quality assessment for older children and adolescents

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    Appropriate chest compression (CC) depth is associated with improved CPR outcome. CCs provided in hospital are often conducted on a compliant mattress. The objective was to quantify the effect of mattress compression on the assessment of CPR quality in children. Methods: A force and deflection sensor (FDS) was used during CPR in the Pediatric Intensive Care Unit and Emergency Department of a children's hospital. The sensor was interposed between the chest of the patient and hands of the rescuer and measured CC depth. Following CPR event, each event was reconstructed with a manikin and an identical mattress/backboard/patient configuration. CCs were performed using FDS on the sternum and a reference accelerometer attached to the spine of the manikin, providing a means to Calculate the mattress deflection. Results: Twelve CPR events with 14,487 CC (11 patients, median age 14.9 years) were recorded and reconstructed: 9 on ICU beds (9296 CC), 3 on stretchers (5191 CC). Measured mean CC depth during CPR was 47 +/- 8 mm on ICU beds, and 45 +/- 7 mm on stretcher beds with overestimation of 13 +/- 4 mm and 4 +/- 1 mm, respectively, due to mattress compression. After adjusting for this, the proportion of CC that met the CPR guidelines decreased from 88.4 to 31.8% on ICU beds (p < 0.001), and 86.3 to 64.7% on stretcher (p < 0.001 The proportion of appropriate depth CC was significantly smaller on ICU beds (p < 0.001). Conclusion: CC conducted on a non-rigid surface may not be deep enough. FDS may overestimate CC depth by 28% on ICU beds, and 10% on stretcher beds
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