Advice to a New Child Services Leader

Offers advice to new leaders of child services agencies in the areas of leadership, administration, communication, and data. Discusses developing a strategy for change, building a management team, working with the media, and measuring workload

Sonora exploratory study for the detection of wheat-leaf rust

The applicability of LANDSAT remote sensing technology to the detection of a wheat-leaf-rust epidemic in Sonora, Mexico, during 1977 was investigated. LANDSAT data acquired during crop years 1975-76 and 1976-77 were clustered, classified, and analyzed in order to detect agricultural changes. Analysis of 1977 data indicates a significant proportion of the identified wheat is stressed (potentially rust-infected). Additional analyses show a significant increase in fallowing during the year, as well as a substantial decrease in reservoir levels in the Sonora agricultural region. Ground observations are required to substantiate these analyses. The possibility exists that heat-rust is not LANDSAT detectable and that the clusters identified as containing stressed signatures represent different varieties of wheat or perhaps nonwheat crops

The integrated analysis procedure for identification of spring small grains and barley

There are no author-identified significant results in this report

Boundary Conditions for Three-Body Scattering in Configuration Space

The asymptotic behavior of three-body scattering wave functions in configuration space is studied by considering a model equation that has the same asymptotic form as the Faddeev equations. Boundary conditions for the wave function are derived, and their validity is verified by numerical calculations. It is shown that these boundary conditions for the partial differential equation can be used to obtain accurate numerical solutions for the wave function.Comment: 25 pages, revtex, 9 figures. Submitted to Phys. Rev. C, epsfig.sty require

Mutual Fund Expense Disclosures: A Behavioral Perspective

Mutual funds have enjoyed phenomenal growth with their numbers exceeding the number of public companies and their assets aggregating in excess of $9 trillion. Increasingly they are the investment instrument of choice by the proverbial widows, widowers and orphans, and a few school teachers are included as well. But how are best can that choice be one that is not only informed but informed in a way more likely to elicit a wise decision? This paper examines from a behavioral perspective how regulation can best disclose information related to two key factors for investors to compare competing mutual funds: fund returns and fund expenses. Our analysis reflects that the current disclosure process is deficient because it fails to reflect the insights of research on judgment and decision making, and particularly the need to distinguish between the availability of information and its processability by its user. The message of our article is straightforward: if regulators adhered to the insights provided by our paper, not only investors, but also the fund\u27s directors, would be greatly empowered so that better returns and lower costs could be expected

The detection and classification of blast cell in Leukaemia Acute Promyelocytic Leukaemia (AML M3) blood using simulated annealing and neural networks

This paper was delivered at AIME 2011: 13th Conference on Artifical Intelligence in Medicine.This paper presents a method for the detection and classification of blast cells in M3 with others sub-types using simulated annealing and neural networks. In this paper, we increased our test result from 10 images to 20 images. We performed Hill Climbing, Simulated Annealing and Genetic Algorithms for detecting the blast cells. As a result, simulated annealing is the “best” heuristic search for detecting the leukaemia cells. From the detection, we performed features extraction on the blast cells and we classifying based on M3 and other sub-types using neural networks. We received convincing result which has targeting around 97% in classifying of M3 with other sub-types. Our results are based on real world image data from a Haematology Department.Universiti Sains Islam Malaysia and the Ministry of Higher Education, Malaysi

A Quantum Space Behind Simple Quantum Mechanics

In physics, experiments ultimately inform us as to what constitutes a good theoretical model of any physical concept: physical space should be no exception. The best picture of physical space in Newtonian physics is given by the configuration space of a free particle (or the center of mass of a closed system of particles). This configuration space (as well as phase space), can be constructed as a representation space for the relativity symmetry. From the corresponding quantum symmetry, we illustrate the construction of a quantum configuration space, similar to that of quantum phase space, and recover the classical picture as an approximation through a contraction of the (relativity) symmetry and its representations. The quantum Hilbert space reduces into a sum of one-dimensional representations for the observable algebra, with the only admissible states given by coherent states and position eigenstates for the phase and configuration space pictures, respectively. This analysis, founded firmly on known physics, provides a quantum picture of physical space beyond that of a finite-dimensional manifold, and provides a crucial first link for any theoretical model of quantum spacetime at levels beyond simple quantum mechanics. It also suggests looking at quantum physics from a different perspective.Comment: 19 page