Elastic scattering cross sections for 65 MeV neutrons have been measured for natural targets of C, Si, Cd, Fe, Sn, and Pb at laboratory angles from 6' to 45'. A unique, compact detection system consisting of a CHq (proton) converter and large-acceptance, wire-chamber-based, recoilproton telescope is utilized for the measurements. The data are compared with macroscopic optical model potentials derived from proton scattering. In addition, comparisons with the microscopic optical model potentials, those of 3eukenne-Lejeune-Mahaux and Yamaguchi-Nagata-Matsuda, give a very good at to the data.

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We have measured the room temperature, widths, pressure shifts, and line asymmetry coefficients for many transitions of the first overtone band of CO and CO perturbed by N 2. The broadening coefficients were obtained with an accuracy of about 1%. The pure CO profiles have been fitted by a Voigt profile while the CON 2 spectral profiles have been fitted with a Lorentz and an empirical line shape model (HC v) that blends together a hard collision model and a speed-dependent Lorentz profile. In addition to the Voigt, Lorentz, and HC v models, we have added a dispersion profile to account for weak line mixing. The line broadening and shift coefficients are compared to semiclassical calculations employing a variety of intermolecular interactions. The line asymmetry results are compared to line mixing calculations based on the energy corrected sudden ͑ECS͒ model. The results indicate that effects other than line mixing also contribute to the measured line asymmetry.

Using a high-resolution difference-frequency spectrometer, we have studied the shape of four infrared lines of CO, highly diluted in N~. We have approached the analysis from two perspectives. In the first, the spectral profile of an isolated line is empirically represented by a variation from the "standard" model in which the mass-diffusion constant is replaced with a pressureand line-dependent "optical" diffusion constant. In the second, we abandon the concept of an "optical" diffusion constant and replace it with a physically more tenable hypothesis that the departures from the standard model are due to a slight deviation from the usual exponential decay used to describe the collision broadening of spectral lines. This shifts the focus of the discussion from an analysis of the translational dynamics to an analysis of the dynamics of the internal degrees of freedom.PACS number(s): 33.70. Jg, 35.20.Yh, 34.10.+x

Abstract. This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classification models, built on prosodic and lexical features. Our results suggest these features create models that can outperform a Bag of Words baseline.