The Graduate Education Initiative: Description and Preliminary Findings

[Excerpt] In1991 the Andrew W. Mellon Foundation launched the Graduate Education Initiative (hereafter GEI) to improve the structure and organization of PhD programs in the humanities and social sciences. Such changes were seen as necessary to combat high rates of student attrition and long times-to-degree in these programs. While attrition and time-to-degree were deemed to be important in and of themselves, and of great significance to degree seekers, they were also seen more broadly as indicators of the effectiveness of graduate programs. Several characteristics of doctoral programs were earmarked as contributing to high attrition and long degree time, including: unclear expectations, a proliferation of courses, elaborate and sometimes conflicting requirements, intermittent supervision, epistemological disagreements on fundamentals and not least, inadequate funding. Projections that faculty shortages would occur in the late 1990s in the humanities made the goals of reducing student attrition and time-to-degree particularly timely if an adequate number of PhDs were to be available. This was far from the first such effort to reduce times-to degree-and rates of attrition. Earlier programs, which provided grants in aid to individual students or to graduate schools to distribute as they saw fit, had failed conspicuously. Based on data which showed that there were marked differences among departments and on a great deal of experience on the ground, the architects of the GEI determined that to improve graduate education would require departments to make changes in their PhD programs. As such, the Foundation shifted much of its support for doctoral education, which had previously gone directly to students, to block grants that would be awarded to departments within major universities

Local permutations of products of Bell states and entanglement distillation

We present new algorithms for mixed-state multi-copy entanglement distillation for pairs of qubits. Our algorithms perform significantly better than the best known algorithms. Better algorithms can be derived that are tuned for specific initial states. The new algorithms are based on a characterization of the group of all locally realizable permutations of the 4^n possible tensor products of n Bell states.Comment: 6 pages, 1 figur

Multiclass Data Segmentation using Diffuse Interface Methods on Graphs

We present two graph-based algorithms for multiclass segmentation of high-dimensional data. The algorithms use a diffuse interface model based on the Ginzburg-Landau functional, related to total variation compressed sensing and image processing. A multiclass extension is introduced using the Gibbs simplex, with the functional's double-well potential modified to handle the multiclass case. The first algorithm minimizes the functional using a convex splitting numerical scheme. The second algorithm is a uses a graph adaptation of the classical numerical Merriman-Bence-Osher (MBO) scheme, which alternates between diffusion and thresholding. We demonstrate the performance of both algorithms experimentally on synthetic data, grayscale and color images, and several benchmark data sets such as MNIST, COIL and WebKB. We also make use of fast numerical solvers for finding the eigenvectors and eigenvalues of the graph Laplacian, and take advantage of the sparsity of the matrix. Experiments indicate that the results are competitive with or better than the current state-of-the-art multiclass segmentation algorithms.Comment: 14 page

Development of optimal location and design capacity of wastewater treatment plants for urban areas: a case study in Samawah city

Water, and related wastewater structures, are critical factors in the existence and the improvement of civilizations. Wastewater gathering and management has a considerable effect on the climate and economy at both regional and global level, and, accordingly, it is appropriate to advance actions that guarantee effective management for wastewater, particularly in urban areas. This research thus examined the environmental and economic aspects of proposed locations for wastewater treatment plants. Samawah city, located in the southern part of Iraq, was selected as a case study for the research methodology, and for research purposes, the studied city was divided into three main zones (1, 2, and 3) of sixteen areas. The Google Earth tool was used to calculate the lowest elevations in the studied zones in order to assess the suggested positions of treatment plants. Additionally, the WinQSB program was utilised to select the most appropriate positions for treatment plants based on data obtained from local government departments. These data include population, water consumption, and required lengths and subsequent cost of pipes. This research thus developed a new strategy for assigning the locations of wastewater treatment plants