12,452 research outputs found

    Michelle J. DePass with Lee Matthews, Jennifer Johnson, Guest, Jacqueline Alexander, and Wim Wiewel

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    Left to right: Leodis (Lee) Matthews \u2773, Jennifer Johnson, guest, Michelle J. DePass, Jacqueline Alexander \u2707, and Wim Wiewel at the 2020 Martin Luther King, Jr. Lecturehttps://lawcommons.lclark.edu/mlk_2020_photos/1003/thumbnail.jp

    Michelle J. DePass with Lee Matthews, Jennifer Johnson, Guest, Jacqueline Alexander, and Wim Wiewel

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    Left to right: Leodis (Lee) Matthews \u2773, Jennifer Johnson, guest, Michelle J. DePass, Jacqueline Alexander \u2707, and Wim Wiewel at the 2020 Martin Luther King, Jr. Lecturehttps://lawcommons.lclark.edu/mlk_2020_photos/1002/thumbnail.jp

    Jane Clayson Johnson (Journalist, Author, and Mother) on Overcoming Depression

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    Ever dealt with depression and felt alone or weak? Join Jane Clayson Johnson (award-winning journalist for her work at CBS, ABC, and NPR; best-selling author of I Am a Mother and Silent Souls Weeping; and an incredible mother) as she talks about her encounter with depression and how others with depression shouldn\u27t feel flawed or trapped

    Trygue Johnson

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    Rev. Dr. Trygve Johnson speaks on how the Scriptures help us to see the reality of the Kingdom of God. Rev. Dr. Trygve Johnson is the Hinga Boersma Dean of the Chapel of Hope College. He holds an M.Div., from Western Theological Seminary, a Ph.D. in Theology from University of St. Andrews, Scotland, and is ordained in the Reformed Church in America (RCA). He is author of The Preacher as Liturgical Artist (Cascade Press, 2014) and speaks widely on college campuses around the country. Trygve is married to Dr. Kristen Deede Johnson, associate professor of Theology and Christian Formation at Western Theological Seminary, in Holland MI. Together they have been blessed with a son, Trygve David Johnson, Jr., and a daughter, Ella Arlene Johnson

    Auto-Calibration of WIM Using Traffic Stream Characteristics

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    This project evaluates the performance of Weigh-in-Motion (WIM) auto-calibration methods used by the Arkansas Department of Transportation (ARDOT). Typical auto-calibration algorithms compare the WIM measured weights of vehicles from the traffic stream to reference values, using five-axle tractor-trailer configured trucks for comparisons, e.g. Federal Highway Administration (FHWA) Class 9. Parameters of the existing algorithms including the Front Axle Weight (FAW) reference value, the sampling frequency required to update the calibration factor, and thresholds for Gross Vehicle Weight (GVW) bins were evaluated. The primary metric used to estimate algorithm performance was Mean Absolute Percent Error (MAPE) between the WIM and static scale GVW measurements. Two altered auto-calibration algorithms based on methodologies utilized by ARDOT and the Minnesota DOT (MNDOT) were developed. Parameters for the algorithms are based on combinations that produced minimal MAPE at the study sites. WIM data from two sites (Lamar and Lonoke) and static scale data from one site (Alma) were collected along Eastbound I-40 in Arkansas during March 2018. The updated MNDOT auto-calibration algorithm reduced the MAPE by 2.5% compared to the baseline method at the Lamar site (n = 77 trucks) and by 1.1% for the Lonoke site (n = 44 trucks). The updated ARDOT algorithm reduced MAPE by 1.6% at the Lamar site and 0.6% at the Lonoke. Due to limitations of the field data collection methodology, the thresholds defining FAW reference values and the FAW reference values themselves were not able to be tested for spatial transferability, e.g. the samples of trucks at the Lonoke WIM site were a subsample of the trucks at the Lamar WIM site. Improvements in auto-calibration accuracy at low volume sites but was not tested due to the small number of confirmed vehicle matches at a third WIM site (Bald Knob, n = 2 trucks). Overall, site specific tuning of auto-calibration algorithms will improve the accuracy of WIM data which is used for pavement design, maintenance programming, and traffic forecasting. For example, improvements of 2.5% MAPE of WIM measured GVW results in a 39% difference in the estimated Equivalent Single Axle Load (ESAL) factors used for pavement design

    Steven Johnson Author Talk Poster

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    K-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book

    LGBTI variations in crime reporting: how sexual identity influences decisions to call the cops

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    Research shows that people vary in their willingness to report crime to police depending on the type of crime experienced, their gender, age, and their race or ethnicity. Whether or not lesbian, gay, bisexual, transgender, and intersex (LGBTI) and heterosexual people vary in their willingness to report crime to the police is not well understood in the extant literature. In this article, I examine variations in LGBTI respondents' attitudes, subjective norms, and perceived behavioral control on their intentions to report crimes to the police. Drawing on a survey of LGBTI individuals sampled from a Gay Pride community event and online LGBTI community forums (N = 329), I use quantitative statistical methods to examine whether LGBTI people's beliefs in police homophobia are also directly associated with the behavioral intention to report crime. Overall, the results indicate that LGBTI and heterosexual people differ significantly in their intention to report crime to the police, and that a belief in police homophobia strongly influences LGBTI people's intention to underreport crime to the police
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