The Development of Approaches to Curriculum Planning to Meet Academic and Professional Objectives

The importance of developing a curriculum which satisfies the broad objectives of professional education has been recognized widely. The balance between enhancing scholarship and developing vocational skills, the importance of relevant evaluation of the curriculum, students and teachers and the place of research in current professional education are all matters worthy of consideration by those responsible for professional education. This paper reflects upon the historic attitudes to education and traces the changes in approach which have been necessary to ensure the provision of appropriate learning experiences for students seeking a professional education today

Designing Web-Based Instruction: A Research Review On Color, Typography, Layout, and Screen Density

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Impementing Self-Study Review Feedback

Department Chairs who are writing a self-study or program review will benefit from this session on implementing self-study review feedback and learn how to leverage feedback to argue for new hires, additional resources for projects, and support for worthwhile initiatives

The Interrelation of Spinal Curves, Pelvic Tilt and Muscle Lengths in the Adolescent Female

Thoracic kyphosis, lumbar lordosis and pelvic tilt were measured in standing in one hundred and three adolescent females, using a specially designed inclinometer. Indices of the muscle lengths (abdominals, erector spinae, iliopsoas, gluteals, rectus femoris and hamstrings) were measured using inclinometry and goniometry and expressed as angles of joint position.Multiple regression analysis revealed that the index of erector spinae length was negatively correlated with lumbar lordosis (r = - 0.24, p < 0.05). The abdominal length index was positively correlated with lumbar lordosis (r = 0.209, p < 0.05), and the hamstring length index was negatively correlated with lordosis (r = - 0.213, p < 0.05).No muscle length index was significantly related to pelvic tilt. A negative association between the degree of thoracic kyphosis and the abdominal length index was found (r = -0.245, p < 0.05)

Leveraging Aircraft Avionics

Airport operations count data are used for a variety of purposes ranging from allocation of Airport Improvement Program (AIP) funding to environmental assessments and budget justification. Operations counts are hard to obtain at small, non-towered airports, which constitute the majority of airports in the United States, and are frequently estimated unscientifically by airport managers. Current acoustic and video counting technology is limited, but with the FAA NextGen mandate for installation of ADS-B Out transponders by Jan. 1, 2020, transponder data is rapidly emerging as a viable data source beyond traditional NextGen applications. To date, the NextGen literature has focused on the use of this technology for navigation, safety, and airspace management. This paper introduces a method of applying ADS-B data to fleet management and airport operations. With a 1090 MHz receiver and appropriate signal processing hardware and software, Mode S and Mode S Extended data can be used to track runway operations and fleet usage in an accurate and cost-effective manner

Planning for clinical research

The need to initiate research projects in physiotherapy is being recognized throughout the world, while a growing interest is being shown by physiotherapists in undertaking studies appropriate to the areas of medicine. Many writers have urged the profession to accept its responsibility for contributing to the advancement of knowledge and it is to be hoped that an increasing number of physiotherapists will respond to this challenge

Characterizing Interstate Crash Rates Based on Traffic Congestion Using Probe Vehicle Data

Crash reduction factors are widely used by engineers for prioritizing safety investments. Work zones are routinely analyzed by the length and duration of queues. Queue detection warning technology has been growing in availability and reliability in recent years. However, there is sparse literature on the impact of freeway queueing on crash rates. This paper analyzes three years of crash data and crowdsourced probe vehicle data to classify crashes as being associated with queueing conditions or free flow conditions. In 2014, only 1.2% of the distanced-weighted hours of operation of Indiana interstates operated at or under 45 MPH. A three-year study on Indiana interstates indicates that commercial vehicles were involved in over 87% of back-of-queue fatal crashes compared to 39% of all fatal crashes during free flow conditions. A new measure of crash rate was developed to account for the presence and duration of queues: crashes per mile-hour of congestion. The congested crash rate on all Indiana interstates in 2014 was found to be 24 times greater than the uncongested crash rate. These data were also separated into both rural and urban categories. In rural areas, the congested crash rate is 23 times the uncongested crash rate. In urban areas, the congested crash rate is 21 times the uncongested crash rate. Queues are found to be present for five minutes or longer prior to approximately 90% of congestion crashes in 2014. Longer term, this information shows the importance in the development of technology that can warn motorists of traffic queues

Characterizing Interstate Crash Rates Based on Traffic Congestion Using Probe Vehicle Data

Crash reduction factors are widely used by engineers for prioritizing safety investments. Work zones are routinely analyzed by the length and duration of queues. Queue detection warning technology has been growing in availability and reliability in recent years. However, there is sparse literature on the impact of freeway queueing on crash rates. This paper analyzes three years of crash data and crowd-sourced probe vehicle data to classify crashes as being associated with queueing conditions or free flow conditions. In 2014, only 1.2% of the distanced-weighted hours of operation of Indiana interstates operated at or under 45 MPH. A three-year study on Indiana interstates indicates that commercial vehicles were involved in over 87% of back-of-queue fatal crashes compared to 39% of all fatal crashes during free flow conditions. A new measure of crash rate was developed to account for the presence and duration of queues: crashes per mile-hour of congestion. The congested crash rate on all Indiana interstates in 2014 was found to be 24 times greater than the uncongested crash rate. These data were also separated into both rural and urban categories. In rural areas, the congested crash rate is 23 times the uncongested crash rate. In urban areas, the congested crash rate is 21 times the uncongested crash rate. Queues are found to be present for five minutes or longer prior to approximately 90% of congestion crashes in 2014. Longer term, this information shows the importance in the development of technology that can warn motorists of traffic queues

Real-Time Probe Data Dashboards for Interstate Performance Monitoring During Winter Weather and Incidents

The Indiana Department of Transportation (INDOT) manages over 1800 centerline miles of interstate that can be profoundly impacted by weather, crashes, and construction. Real-time performance measurement of interstate speeds is critical for successful traffic operations management. Agency managers and Traffic Management Center decision makers need situational awareness of the network and the ability to identify irregularities at a glance in order to manage resources and respond to media queries. One way to access this level of detail is crowdsourced probe vehicle data. Crowdsourced probe vehicle data can be obtained by collecting speed data from cell phones and global positioning system (GPS) devices. In Indiana, approximately 2673 predefined interstate segments are used to generate over 3.8 million speed records per day. These data can be overwhelming without efficient procedures to reduce and aggregate both spatially and temporally. This paper introduces a spatial and temporal aggregation model and an accompanying real-time dashboard to characterize the current and past congestion history of interstate roadways. The primary high level view of the aggregated data resembles a stock ticker and is called the “Congestion Ticker.” The data archive allows for after-action review of major events such as ice storms, major crashes, and construction work zones. The utility of this application is demonstrated with two case studies: a snowstorm that covered northern and central Indiana in February 2015 and an I-70 back of queue crash in April 2015

Estimation of Connected Vehicle Penetration Rate on Indiana Roadways

Over 400 billion passenger vehicle trajectory waypoints are collected each month in the United States. This data creates many new opportunities for agencies to assess operational characteristics of roadways for more agile management of resources. This study compared traffic counts obtained from 24 Indiana Department of Transportation traffic counts stations with counts derived by the vehicle trajectories during the same periods. These stations were geographically distributed throughout Indiana with 13 locations on interstates and 11 locations on state or US roads. A Wednesday and a Saturday in January, August, and September 2020 are analyzed. The results show that the analyzed interstates had an average penetration of 4.3% with a standard deviation of 1.0. The non-interstate roads had an average penetration of 5.0% with a standard deviation of 1.36. These penetration levels suggest that connected vehicle data can provide a valuable data source for developing scalable roadway performance measures. Since all agencies currently have a highway monitoring system using fixed infrastructure, this paper concludes by recommending agencies integrate a connected vehicle penetration monitoring program into their traditional highway count station program to monitor the growing penetration of connected cars and trucks