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Hendrickson, K.; Askew, K.; McKayle, C. A.; Engerman, K. (, The journal of Negro education)Taylor, O.; Campone, F.; Retland, N. (Ed.)Over the last few years, there has been a growing interest in caring within science, technology, engineering, and mathematics (STEM) education. While current attention is affixed on developing pedagogical caring, concerns must also be given to the caring orientation of academic managerial leadership within STEM education. Thus, this qualitative study examines caring in STEM leadership from the perspective of academic management at historically Black colleges and universities (HBCUs). The data used for the analysis were based on semi-structured interviews of eight academic deans conducted by the Center for the Advancement of STEM Leadership (CASL). The findings suggest evidence of multidimensional caring in STEM-related academic managerial leadership. Implications and future studies related to caring-oriented STEM leadership practices are discussed.more » « less
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Finneman, G M; Eichhorn, O H; Meskell, N R; Caplice, T W; Benson, A D; Abu-Halawa, A S; Ademoski, G L; Clark, A C; Gayer, D S; Hendrickson, K N; et al (, Biomedical Physics & Engineering Express)Abstract A 3-D dosimeter fills the need for treatment plan and delivery verification required by every modern radiation-therapy method used today. This report summarizes a proof-of-concept study to develop a water-equivalent solid 3-D dosimeter that is based on novel radiation-hard scintillating material. The active material of the prototype dosimeter is a blend of radiation-hard peroxide-cured polysiloxane plastic doped with scintillating agent P-Terphenyl and wavelength-shifter BisMSB. The prototype detector was tested with 6 MV and 10 MV x-ray beams at Ohio State University’s Comprehensive Cancer Center. A 3-D dose distribution was successfully reconstructed by a neural network specifically trained for this prototype. This report summarizes the material production procedure, the material’s water equivalency investigation, the design of the prototype dosimeter and its beam tests, as well as the details of the utilized machine learning approach and the reconstructed 3-D dose distributions.more » « less
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