Organizational, direct support, and general support maintenance manual : tractor, crawler, low-speed, DED, 16,000 to 24,900 lb. drawbar pull, 60 in. min. gage, segmented, air-transportable, w/mounting kit (Caterpillar models D5A), FSN 2410-142-5283 and FSN 2410-230-2767.

"March 1972."

Operator, organizational, field, and DS & GS maintenance including repair parts and special tools lists (operation and maintenance instructions with illustrated parts breakdown) : T-4191 dial indicating depth gage.

Includes index.

Operator, organizational, field, and depot maintenance manual : tester, fuel quantity gage, type MD-1.

"June 1960."

Locomotive, diesel electric, 56 1/2" gage, 44 ton, 0-4-4-0, 400 hp, Davenport Besler.

"November 1955."

Acoustic experiments with the pin-hole probe and the interferometer u-gage,

Mode of access: Internet.

Nomination of Stephen J. Gage : hearing before the Committee on Environment and Public Works, United States Senate, Ninety-fifth Congress, second session, on the nomination of Stephen J. Gage to be assistant administrator for Research and Development, Environmental Protection Agency, January 24, 1978.

"Serial no. 95-H45."

MyHouse : un système de négociation multi-critères dans le commerce électronique, appliqué au domaine du courtage immobilier

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Faillite de l'État et montée de l'islamisme : une interprétation de la crise algérienne

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

MyHouse : un système de négociation multi-critères dans le commerce électronique, appliqué au domaine du courtage immobilier

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Faillite de l'État et montée de l'islamisme : une interprétation de la crise algérienne

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Francisella-like endosymbionts of ticks

Ticks affect human and animal health both directly by their blood feeding and indirectly by transmission of many disease-causing bacteria, such as Rickettsia, Ehrlichia, Borrelia, Coxiella, Cowdria, Anaplasma, Aegyptionella, and Tularemia, as well as many viruses (Piesman and Gage, 1996). In addition to these infectious agents, ticks harbor bacterial endosymbionts, such as Wolbachia persica, which was first isolated from the soft tick now classified as Argus arboreus (Suitor and Weiss, 1961).

Generation and phenotypic characterization of new human ovarian cancer cell lines with the identification of antigens potentially recognizable by HLA-restricted cytotoxic T cells

This study describes a simple method for long-term establishment of human ovarian tumor lines and prediction of T-cell epitopes that could be potentially useful in the generation of tumor-specific cytotoxic T lymphocytes (CTLs), Nine ovarian tumor lines (INT.Ov) were generated from solid primary or metastatic tumors as well as from ascitic fluid, Notably all lines expressed HLA class I, intercellular adhesion molecule-1 (ICAM-1), polymorphic epithelial mucin (PEM) and cytokeratin (CK), but not HLA class II, B7.1 (CD80) or BAGE, While of the 9 lines tested 4 (INT.Ov1, 2, 5 and 6) expressed the folate receptor (FR-alpha) and 6 (INT.Ov1, 2, 5, 6, 7 and 9) expressed the epidermal growth factor receptor (EGFR); MAGE-1 and p185(HER-2/neu) were only found in 2 lines (INT.Ov1 and 2) and GAGE-1 expression in 1 line (INT.Ov2). The identification of class I MHC ligands and T-cell epitopes within protein antigens was achieved by applying several theoretical methods including: 1) similarity or homology searches to MHCPEP; 2) BIMAS and 3) artificial neural network-based predictions of proteins MACE, GAGE, EGFR, p185(HER-2/neu) and FR-alpha expressed in INT.Ov lines, Because of the high frequency of expression of some of these proteins in ovarian cancer and the ability to determine HLA binding peptides efficiently, it is expected that after appropriate screening, a large cohort of ovarian cancer patients may become candidates to receive peptide based vaccines. (C) 1997 Wiley-Liss, Inc.

A general hazard model for lifetime data in the presence of cure rate

Historically, the cure rate model has been used for modeling time-to-event data within which a significant proportion of patients are assumed to be cured of illnesses, including breast cancer, non-Hodgkin lymphoma, leukemia, prostate cancer, melanoma, and head and neck cancer. Perhaps the most popular type of cure rate model is the mixture model introduced by Berkson and Gage [1]. In this model, it is assumed that a certain proportion of the patients are cured, in the sense that they do not present the event of interest during a long period of time and can found to be immune to the cause of failure under study. In this paper, we propose a general hazard model which accommodates comprehensive families of cure rate models as particular cases, including the model proposed by Berkson and Gage. The maximum-likelihood-estimation procedure is discussed. A simulation study analyzes the coverage probabilities of the asymptotic confidence intervals for the parameters. A real data set on children exposed to HIV by vertical transmission illustrates the methodology.

On-line writing: a link to learning in a teacher education program

This paper examines the use of on-line discussion as a medium for learning in a pre-service teacher education program. As part of an Education Studies course student teachers engaged in a discussion of issues related to technology and equity in schools. The design of the task and the subsequent analysis of the on-line text were part of a research project investigating whether and how communications technology can be used to integrate and extend the learning of teacher education students. The main argument developed in the paper is that through the on-line activity distinctive sets of writing practices were created. These practices enabled students to make connections between the often disparate parts of teacher education programs-theory and practice, campus and school, research and experience. (C) 2002 Elsevier Science Ltd. All rights reserved.

Sistema para formação e avaliação dos operadores das máquinas de inspeção ótica automática

A montagem de circuitos eletrónicos é um processo extremamente complexo, e como tal muito difícil de controlar. Ao longo do processo produtivo, é colocada solda no PCB (printed circuit board), seguidamente são colocados os componentes eletrónicos que serão depois soldados através de um sistema de convecção, sendo por fim inspecionados todos os componentes, com o intuito de detetar eventuais falhas no circuito. Esta inspeção é efetuada por uma máquina designada por AOI (automatic optical inspection), que através da captura de várias imagens do PCB, analisa cada uma, utilizando algoritmos de processamento de imagem como forma de verificar a presença, colocação e soldadura de todos os componentes. Um dos grandes problemas na classificação dos defeitos relaciona-se com a quantidade de defeitos mal classificados que passam para os processos seguintes, por análise errada por parte dos operadores. Assim, apenas com uma formação adequada, realizada continuamente, é possível garantir uma menor taxa de falhas por parte dos operadores e consequentemente um aumento na qualidade dos produtos. Através da implementação da metodologia Gage R&R para atributos, que é parte integrante da estratégia “six sigma” foi possível analisar a aptidão dos operadores, com base na repetição aleatória de várias imagens. Foi desenvolvido um software que implementa esta metodologia na formação dos operadores das máquinas AOI, de forma a verificar a sua aptidão, tendo como objetivo a melhoria do seu desempenho futuro, através da medição e quantificação das dificuldades de cada pessoa. Com esta nova sistemática foi mais fácil entender a necessidade de formação de cada operador, pois com a constante evolução dos componentes eletrónicos e com o surgimento de novos componentes, estão implícitas novas dificuldades para os operadores neste tipo de tarefa. Foi também possível reduzir o número de defeitos mal classificados de forma significativa, através da aposta na formação com o auxílio do software desenvolvido.