Boulevard du Dayton News (Ohio), propriété de M. [le sénateur James] Cox [angle de S. Ludlow St. et W. 4th St. à Dayton, Ohio] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 60120

Glenridge Open House

One of the tables setup for the open house in 1965.

Extracting Ramachandran torsional angle distributions from 2D NMR data using Tikhonov regularization /

Solid state nuclear magnetic resonance (NMR) spectroscopy is a powerful technique for studying structural and dynamical properties of disordered and partially ordered materials, such as glasses, polymers, liquid crystals, and biological materials. In particular, twodimensional( 2D) NMR methods such as ^^C-^^C correlation spectroscopy under the magicangle- spinning (MAS) conditions have been used to measure structural constraints on the secondary structure of proteins and polypeptides. Amyloid fibrils implicated in a broad class of diseases such as Alzheimer's are known to contain a particular repeating structural motif, called a /5-sheet. However, the details of such structures are poorly understood, primarily because the structural constraints extracted from the 2D NMR data in the form of the so-called Ramachandran (backbone torsion) angle distributions, g{^,'4)), are strongly model-dependent. Inverse theory methods are used to extract Ramachandran angle distributions from a set of 2D MAS and constant-time double-quantum-filtered dipolar recoupling (CTDQFD) data. This is a vastly underdetermined problem, and the stability of the inverse mapping is problematic. Tikhonov regularization is a well-known method of improving the stability of the inverse; in this work it is extended to use a new regularization functional based on the Laplacian rather than on the norm of the function itself. In this way, one makes use of the inherently two-dimensional nature of the underlying Ramachandran maps. In addition, a modification of the existing numerical procedure is performed, as appropriate for an underdetermined inverse problem. Stability of the algorithm with respect to the signal-to-noise (S/N) ratio is examined using a simulated data set. The results show excellent convergence to the true angle distribution function g{(j),ii) for the S/N ratio above 100.

Applying andragogy to the open college learner

Questionnaires were sent to 703 Open College students. The questionnaire asked questions regarding personal demographics, how they felt about andragogy as postulated by Malcolm Knowles, and invited responses pertaining to the institutional practices of Open College. Two hundred and ninety-four responses were received. The information was synthesized and used descriptively. The information regarding andragogy was also used descriptively and analyzed using chi-square. The statistics were compared by gender. No significant difference was found. Students rejected the concept of self-directed learning. They did use their past experience when preparing assignments, however. They also entered Open College in order to learn how to do something better rather than for esoteric reasons. In fact, their whole orientation to learning was very practical in nature. The factors motivating these learners were internal rather than external. In addition, institutional practices were identified that could further enhance the Open College experience.