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1. Utilization of Machine Learning and Proton Collaborative Group Data to Develop a Model for Predictive Prostate Cancer Proton Radiation Therapy Outcomes

2. Longitudinal-transverse separations of deep-inelastic structure functions at low Q(2) for hydrogen and deuterium

3. SU-E-T-470: Beam Performance of the Radiance 330 Proton Therapy System

4. Measurement of Pion Transparency in Nuclei

5. SU-E-T-77: Determination of KQ Factor for PTW Bragg Peak Chamber Used in Proton Pencil Beam Dose Calibration

7. Variations in the RBE for cell killing along the depth-dose profile of a modulated proton therapy beam.

8. Experimental constraints on polarizability corrections to hydrogen hyperfine structure.

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