Annual Report of the State Tax Commissioner and the State Board of Equalization and Assessment

1921-22 Called Biennial Report

List of members, rules and committees of the House and Senate, list of state officers, judges of Supreme Court, United States senators, representatives in Congress and members of the State Board of Equalization, etc.

On cover: Handbook. Illinois Legislature ...

Conference on Adaptive Ecosystem Restoration and Management--Restoration of Cordilleran Conifer Landscapes of North America : June 6-8, 1996, Flagstaff, Arizona /

"June 1996."

Journal of the State Board of Equalization.

Description based on: 1913.

A reply to the arguments contained in various publications, recommending an equalization of the duties on East & West Indian sugar.

Mode of access: Internet.

Annual report of the State Board of Equalization for the ..

Mode of access: Internet.

Report of the State Board of Equalization of Utah

Title Varies: Report of the State Board of Equalization and Assessment [etc]; Thirteenth-[seventeenth] Biennial Report [etc]

Proceedings in the Assessment and Equalization of Railroad Property for the Purpose of Taxation

Mode of access: Internet.

Proceedings of the State Board of Equalization

Mode of access: Internet.

Adaptive designs in the time to event setting: The potential for benefit and risk

Thesis (Ph.D.)--University of Washington, 2016-06

Alternative harvest strategies to alleviate predation bottlenecks: a bioeconomic modeling approach to inform adaptive management

Thesis (Ph.D.)--University of Washington, 2016-06

Cost-Effectiveness Analysis of Adaptive Monitoring Strategies for Depression Treatment

Thesis (Master's)--University of Washington, 2016-06

Genetic algorithm optimization of adaptive multi-scale GLCM features

We introduce a new second-order method of texture analysis called Adaptive Multi-Scale Grey Level Co-occurrence Matrix (AMSGLCM), based on the well-known Grey Level Co-occurrence Matrix (GLCM) method. The method deviates significantly from GLCM in that features are extracted, not via a fixed 2D weighting function of co-occurrence matrix elements, but by a variable summation of matrix elements in 3D localized neighborhoods. We subsequently present a new methodology for extracting optimized, highly discriminant features from these localized areas using adaptive Gaussian weighting functions. Genetic Algorithm (GA) optimization is used to produce a set of features whose classification worth is evaluated by discriminatory power and feature correlation considerations. We critically appraised the performance of our method and GLCM in pairwise classification of images from visually similar texture classes, captured from Markov Random Field (MRF) synthesized, natural, and biological origins. In these cross-validated classification trials, our method demonstrated significant benefits over GLCM, including increased feature discriminatory power, automatic feature adaptability, and significantly improved classification performance.

Tumour susceptibility to innate and adaptive immunotherapy changes during tumour maturation

Immunotherapy of tumours using T cells expanded in vitro has met with mixed clinical success suggesting that a greater understanding of tumour/T-cell interaction is required. We used a HPV16E7 oncoprotein-based mouse tumour model to study this further. In this study, we demonstrate that a HPV16E7 tumour passes through at least three stages of immune susceptibility over time. At the earliest time point, infusion of intravenous immune cells fails to control tumour growth although the same cells given subcutaneously at the tumour site are effective. In a second stage, the tumour becomes resistant to subcutaneous infusion of cells but is now susceptible to both adjuvant activated and HPV16E7-specific immune cells transferred intravenously. In the last phase, the tumour is susceptible to intravenous transfer of HPV16E7-specific cells, but not adjuvant-activated immune cells. The requirement for IFN-gamma and perforin also changes with each stage of tumour development. Our data suggest that effective adoptive T-cell therapy of tumour will need to be matched with the stage of tumour development.