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Ems Response Time For Patients Critically-Injured From Automobile Accidents Using Regression Analysis, Sneha R. Vanga, Phillip M. Ligrani, Mehrnaz Doustmohammadi, Michael Anderson

PRC-Affiliated Research

The ability to quickly and effectively receive medical treatment in the event of an automobile collision is one of the most important aspects in emergency medical services (EMS). Emergency medical service providers are the first to respond and manage cases related to trauma, emergency surgery, and critically injured patients. Response time for emergency medical services vehicles is especially important for areas, where travel distances are often much larger, compared to more urban areas. The importance of the present data and analysis procedures are their applicability to multiple environments, including urban settings. Methods: The present study is focused on optimization of …

Let's Play Ball: Sports, Entertainment, And The Law, Milton O. Thompson

One More Cold Call: An IU Maurer School of Law Alumni Podcast (2021-2022)

Milt Thompson, JD 1979 and president and CEO of Grand Slam, talks about turning down a professional baseball career to attend law school, what it was like to graduate in 1979, how he co-founded Play Ball Indiana, his work with the Pan American Games (including a trip to Cuba where he met with Fidel Castro), and his long-standing work with nonprofits and community organizations in Indianapolis.

Supporting Computational Data For Actinide Arene-Metalates: Ion Pairing Effects On The Electronic Structure Of Unsupported Uranium–Arenide Sandwich Complexes, Rina Bhowmick, Pere Miro, Bess Vlaisavljevich

Data and Datasets

This data is the raw data presented in the published work with DOI 10.1039/D1SC03275E. The compressed folder contains computational data from the DFT, CASSCF, CASPT2, RASSCF, AND RASPT2 calculations. This folder contains six sub folders name DFT-TURBOMOLE, DFT-ADF, CASSCF, CASPT2, RASSCF, and RASPT2.

Super-Engaged: From Presidential Task Forces To The Nfala, Kaelyne Yumul Wietelman

One More Cold Call: An IU Maurer School of Law Alumni Podcast (2021-2022)

Kaelyne Yumul Wietelman, JD 2019, an associate at Kelley Drye in Washington DC, provides advice on how to balance a practice at a highly respected firm with active community and volunteer engagement. In this episode we hear about Kaelyn’s work with the American Bar Foundation and the National Filipino American Lawyers Association.

A Sensor Fused Rear Cross Traffic Detection System Using Transfer Learning, Jungme Park, Wenchang Yu

Electrical & Computer Engineering Publications

Recent emerging automotive sensors and innovative technologies in Advanced Driver Assistance Systems (ADAS) increase the safety of driving a vehicle on the road. ADAS enhance road safety by providing early warning signals for drivers and controlling a vehicle accordingly to mitigate a collision. A Rear Cross Traffic (RCT) detection system is an important application of ADAS. Rear-end crashes are a frequently occurring type of collision, and approximately 29.7% of all crashes are rear-ended collisions. The RCT detection system detects obstacles at the rear while the car is backing up. In this paper, a robust sensor fused RCT detection system is …

A Sensor Fused Rear Cross Traffic Detection System Using Transfer Learning, Jungme Park, Wenchang Yu

Electrical & Computer Engineering Publications

Recent emerging automotive sensors and innovative technologies in Advanced Driver Assistance Systems (ADAS) increase the safety of driving a vehicle on the road. ADAS enhance road safety by providing early warning signals for drivers and controlling a vehicle accordingly to mitigate a collision. A Rear Cross Traffic (RCT) detection system is an important application of ADAS. Rear-end crashes are a frequently occurring type of collision, and approximately 29.7% of all crashes are rear-ended collisions. The RCT detection system detects obstacles at the rear while the car is backing up. In this paper, a robust sensor fused RCT detection system is …

2021-09-08_Michigandaily_Covidmap, Michigan Department Of Health & Human Services

Daily Michigan COVID-19 Update

The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.

The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.

The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …

2021-09-07_Michiganoverview_Covidcounts, Michigan Department Of Health & Human Services

Michigan COVID-19 Confirmed Cases by Date of Onset Data

Data was downloaded as an Excel spreadsheet which appeared in the Public Use Datasets section under the Cumulative Data link of Michigan's Coronavirus webpage, under the url https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html.

Cases are aggregated by the date of onset of COVID-19 symptoms, if known, otherwise by laboratory specimen date if known, otherwise by case referral date. Deaths are aggregated by the date of death if known, otherwise by the last date of a change to the case status.

2021-09-07_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated three times a week on Mondays, Wednesdays, and Fridays.

Syndromic Surveillance System data is obtained from approximately 183 facilities participating in syndromic surveillance (132 Emergency Departments (ED), 51 Urgent Cares) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, …

2021-09-07_Michigandaily_Covidmap, Michigan Department Of Health & Human Services

Daily Michigan COVID-19 Update

The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.

The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.

The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …

2021-09-05_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated three times a week on Mondays, Wednesdays, and Fridays.

Syndromic Surveillance System data is obtained from approximately 183 facilities participating in syndromic surveillance (132 Emergency Departments (ED), 51 Urgent Cares) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, …

2021-09-04_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated three times a week on Mondays, Wednesdays, and Fridays.

Syndromic Surveillance System data is obtained from approximately 183 facilities participating in syndromic surveillance (132 Emergency Departments (ED), 51 Urgent Cares) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, …

The Effects Of Eight-Week Sports-Specific Training On The Kinematics Of Double-Pole Techniques In Novice Cross-Country Skiers, Jinliang Li, Binghong Gao, Boyi Dai, Qin Zhu, Ling Li, Ran Li

ISBS Proceedings Archive

The purpose of the current study was to 1) investigate the effectiveness of an eight-week training specific to cross-country skiing on kinematic characteristics of the double-pole techniques in novice athletes; 2) examine the relationships between joint angles and poling kinematics during different phases of the double-pole in novice and experienced athletes. Ten novice cross-country skiing college athletes from China and nine experienced cross-country skiing college athletes from the United States participated in the eight-week cross-country skiing training. Three cameras were used to collect the kinematics of the double-pole techniques in field before and after the training for the novice athletes …

2021-09-03_Michigandaily_Covidmap, Michigan Department Of Health & Human Services

Daily Michigan COVID-19 Update

The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.

The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.

The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …

Filling In The Gaps: A Diversity Audit Toolkit From Tredway Library, María Evelia Emerson, Lauryn Grace Lehman

Library and Information Science: Faculty Scholarship & Creative Works

In the spring of 2021, the Tredway Library at Augustana College (Rock Island, IL) implemented an audit of the library's print book collection to see if there were gaps in representation of the voices of authors of differing races/ ethnicities; genders; or sexual orientations. With the results of this audit, Augustana librarians now have a better understanding of which voices and perspectives are missing and/or underrepresented in the print collection. This toolkit is intended to assist other libraries / information organizations in undertaking similar diversity audits of their own.

The authors now have an article on this topic, available at: …

Aerial Imagery Of The Lake Huron Coastline Bay County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Superior Coastline Baraga County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Michigan Coastline Berrien County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Superior Coastline Chippewa County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Huron Coastline Arenac County Michigan, 1979, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Michigan Coastline Leelanau County Michigan, 1980, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Michigan Coastline Allegan County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Michigan Coastline Antrim County Michigan, 1980, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Huron Coastline Macomb County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Superior Coastline Houghton County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Huron Coastline Iosco County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Superior Coastline Keweenaw County Michigan, 1938, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Huron Coastline Tuscola County Michigan, 1979, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Superior Coastline Keweenaw County Michigan, 1980, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.

Aerial Imagery Of The Lake Michigan Coastline Mason County Michigan, 1980, Ryan Andrew Williams

Historic Great Lakes Imagery

Historic aerial photographs originally acquired by the US Department of Agriculture and georeferenced at MTU as part of a NOAA and MI EGLE funded project.