Annual report of the Auditor of the Canal Department on the tolls, trade and tonnage of the canals of the State of New York.

Title from cover.

Grade and staple length of cotton produced in Louisiana, 1928-34,

At head of title: U. S. Dept. of agriculture. Bureau of agricultrual economics, in cooperation with Louisiana agricultural experiment station.

Report on permanent grade and a system of sewerage for the city of Peoria : made by the special committee appointed for that purpose by the city council, transmitting a report on the subject made to them /by N.R. Gibson.

Mode of access: Internet.

Annual report ... on the tolls, trade and tonnage of the canals of the state.

Mode of access: Internet.

Simple and complex models for nonlinear seismic response of reinforced concrete structures /

Mode of access: Internet.

Procedures for the identification of potential high school dropouts; a report of the Illinois Dropout Study, including selected findings of the Quincy study and suggested models for experimental programs in elementary schools, junior high schools, and high schools.

Bibliography: p. 42.

Organizational, DS, GS, and depot maintenance manual : crane-shovel, basic unit, truck mounted, 20 ton, 3/4 cu. yd., gasoline engine, 6x6 (American Hoist and Derrick models) model 2360 (non-winterized) FSB 3810-989-0505, model W2360 (winterized) FSN 3810-989-0506.

"December 1974."

Unit, intermediate direct support, and intermediate general support parts and tools list : grader, road, motorized, DED 6 wheeled, 4 wheel drive, articulated frame, front wheel steering (CCE) airborne airmobile, sectionalized and nonsectionalized, models 130 GS and 130 GNS, NSN 3805-01-126-7894, NSN 3805-01-126-7895.

"22 April 1987."

Change of grade and volume of Douglas-Fir shop and better lumber during Kiln Drying /

Mode of access: Internet.

Remotely sensed data for ecosystem analyses: Combining hierarchy and scene models

Remotely sensed data have been used extensively for environmental monitoring and modeling at a number of spatial scales; however, a limited range of satellite imaging systems often. constrained the scales of these analyses. A wider variety of data sets is now available, allowing image data to be selected to match the scale of environmental structure(s) or process(es) being examined. A framework is presented for use by environmental scientists and managers, enabling their spatial data collection needs to be linked to a suitable form of remotely sensed data. A six-step approach is used, combining image spatial analysis and scaling tools, within the context of hierarchy theory. The main steps involved are: (1) identification of information requirements for the monitoring or management problem; (2) development of ideal image dimensions (scene model), (3) exploratory analysis of existing remotely sensed data using scaling techniques, (4) selection and evaluation of suitable remotely sensed data based on the scene model, (5) selection of suitable spatial analytic techniques to meet information requirements, and (6) cost-benefit analysis. Results from a case study show that the framework provided an objective mechanism to identify relevant aspects of the monitoring problem and environmental characteristics for selecting remotely sensed data and analysis techniques.

The relationship between the mismatch negativity (MMN) and psycholinguistic models of spoken word processing

Background: The results from previous studies have indicated that a pre-attentive component of the event-related potential (ERP), the mismatch negativity (MMN), may be an objective measure of the automatic auditory processing of phonemes and words. Aims: This article reviews the relationship between the MMN data and psycholinguistic models of spoken word processing, in order to determine whether the MMN may be used to objectively pinpoint spoken word processing deficits in individuals with aphasia. Main Contribution: This article outlines the ways in which the MMN data support psycholinguistic models currently used in the clinical management of aphasic individuals. Furthermore, the cell assembly model of the neurophysiological mechanisms underlying spoken word processing is discussed in relation to the MMN and psycholinguistic models. Conclusions: The MMN data support current theoretical psycholinguistic and neurophysiological models of spoken word processing. Future MMN studies that include normal and aphasic populations will further elucidate the role that the MMN may play in the clinical management of aphasic individuals.

Soft tissue sarcomas in dogs: A study assessing surgical margin, tumour grade and clinical outcome

The purpose of this prospective clinical study was to quantify the surgical margin necessary to maximise local disease control for canine soft tissue sarcoma of various grades. This was achieved via gross and histopathologic studies. Fourteen dogs underwent surgical treatment for 15 localised, measurable, subcutaneous sarcomas. Surgery and histopathologic evaluation were performed to standardised protocols. Regular examinations for local recurrence and distant metastases were performed for at least 12 months postoperatively. One hundred percent local disease control was achieved with deep margins >10mm and 93% one year disease-free survival with wide margins (i.e. >10mm laterally and one fascial plane or >10mm in depth). There was one case of recurrence. Fascial planes appear to act as biological barriers to local tumour invasion but this protective effect may be overcome with high-grade lesions.

Integrating JERS-1 imaging radar and elevation models for mapping tropical rainforest communities in far North Queensland, Australia

The Wet Tropics World Heritage Area in Far North Queens- land, Australia consists predominantly of tropical rainforest and wet sclerophyll forest in areas of variable relief. Previous maps of vegetation communities in the area were produced by a labor-intensive combination of field survey and air-photo interpretation. Thus,. the aim of this work was to develop a new vegetation mapping method based on imaging radar that incorporates topographical corrections, which could be repeated frequently, and which would reduce the need for detailed field assessments and associated costs. The method employed G topographic correction and mapping procedure that was developed to enable vegetation structural classes to be mapped from satellite imaging radar. Eight JERS-1 scenes covering the Wet Tropics area for 1996 were acquired from NASDA under the auspices of the Global Rainforest Mapping Project. JERS scenes were geometrically corrected for topographic distortion using an 80 m DEM and a combination of polynomial warping and radar viewing geometry modeling. An image mosaic was created to cover the Wet Tropics region, and a new technique for image smoothing was applied to the JERS texture bonds and DEM before a Maximum Likelihood classification was applied to identify major land-cover and vegetation communities. Despite these efforts, dominant vegetation community classes could only be classified to low levels of accuracy (57.5 percent) which were partly explained by the significantly larger pixel size of the DEM in comparison to the JERS image (12.5 m). In addition, the spatial and floristic detail contained in the classes of the original validation maps were much finer than the JERS classification product was able to distinguish. In comparison to field and aerial photo-based approaches for mapping the vegetation of the Wet Tropics, appropriately corrected SAR data provides a more regional scale, all-weather mapping technique for broader vegetation classes. Further work is required to establish an appropriate combination of imaging radar with elevation data and other environmental surrogates to accurately map vegetation communities across the entire Wet Tropics.

Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: A case study from the wet tropics of Northeastern Australia

Traditional vegetation mapping methods use high cost, labour-intensive aerial photography interpretation. This approach can be subjective and is limited by factors such as the extent of remnant vegetation, and the differing scale and quality of aerial photography over time. An alternative approach is proposed which integrates a data model, a statistical model and an ecological model using sophisticated Geographic Information Systems (GIS) techniques and rule-based systems to support fine-scale vegetation community modelling. This approach is based on a more realistic representation of vegetation patterns with transitional gradients from one vegetation community to another. Arbitrary, though often unrealistic, sharp boundaries can be imposed on the model by the application of statistical methods. This GIS-integrated multivariate approach is applied to the problem of vegetation mapping in the complex vegetation communities of the Innisfail Lowlands in the Wet Tropics bioregion of Northeastern Australia. The paper presents the full cycle of this vegetation modelling approach including sampling sites, variable selection, model selection, model implementation, internal model assessment, model prediction assessments, models integration of discrete vegetation community models to generate a composite pre-clearing vegetation map, independent data set model validation and model prediction's scale assessments. An accurate pre-clearing vegetation map of the Innisfail Lowlands was generated (0.83r(2)) through GIS integration of 28 separate statistical models. This modelling approach has good potential for wider application, including provision of. vital information for conservation planning and management; a scientific basis for rehabilitation of disturbed and cleared areas; a viable method for the production of adequate vegetation maps for conservation and forestry planning of poorly-studied areas. (c) 2006 Elsevier B.V. All rights reserved.