scholarly journals Using biotite composition of the Devonian Lake George granodiorite, New Brunswick, as a case study for W-Mo-Au-Sb mineralized magmatic hydrothermal systems

2015 ◽  
Author(s):  
Z Azadbakht ◽  
D R Lentz ◽  
C R M McFarlane
2011 ◽  
Vol 169 (1-2) ◽  
pp. 167-182 ◽  
Author(s):  
Andrea Cannata ◽  
Iole Serena Diliberto ◽  
Salvatore Alparone ◽  
Salvatore Gambino ◽  
Stefano Gresta ◽  
...  

2012 ◽  
Vol 103 (6) ◽  
pp. 233-240 ◽  
Author(s):  
Michael P. Marino ◽  
Margaret Smith Crocco

1984 ◽  
Vol 79 (5) ◽  
pp. 1159-1186 ◽  
Author(s):  
R. B. Scratch ◽  
G. P. Watson ◽  
R. Kerrich ◽  
R. W. Hutchinson
Keyword(s):  

2011 ◽  
Vol 38 (2) ◽  
pp. 210-220 ◽  
Author(s):  
Luis Esteban Amador-Jiménez ◽  
Donath Mrawira

This paper proposes the use of multi-level Bayesian modeling for calibrating mechanistic model parameters from historical data while capturing reliability by estimating a desired confidence interval of the predictions. The model is capable of estimating the parameters from the observed data and expert criteria even in cases of missing data points. This approach allows rapid generation of several deterioration models without the need to partition the data into pavement families. It estimates posterior distributions for model coefficients and predicts values of the response for unobserved levels of the causal factors. A case study from the New Brunswick Department of Transportation is used to calibrate a simplified mechanistic pavement roughness progression model based on 6-year international roughness index (IRI) observations. The model incorporates the effects of pavement structural capacity in terms of deflection basin parameter (AREA) in place of the modified structural number, traffic loading (ESAL) and environmental factors. The results of the model showed that, as expected, chipseal roads have higher as built roughness and deteriorate faster than asphalt roads. Sensitivity analysis of the deterministic (the mean predictions) part of the model showed that in New Brunswick where traffic is relatively low the environment is the most important factor.


1961 ◽  
Vol 93 (11) ◽  
pp. 1010-1010
Author(s):  
R. C. Clark

In November, 1957, several specimens of adult beetles were collected from beaver pelts taken in the Lake George area of New Brunswick by a local trapper, Mr. Donald Millican. These were referred to me and were later identified as Leptinillus validus (Horn), an ectoparasite of the beaver, Castor canadensis Kuhl, by Mr. W. J. Brown of the Entomology Research Institute, Ottawa. This is the first record of the species having been found in New Brunswick.


1989 ◽  
Vol 19 (3) ◽  
pp. 43-52
Author(s):  
Viviane Edwards

In 1983, the University of New Brunswick adopted a French Language Policy which called for courses to be offered in French in a number of disciplines, including Economics, History and Political Science. This article discusses the events which led to the adoption of the Policy and the difficulties as well as successes which the Policy has met since its adoption. In spite of being supported unanimously by the Deans and in spite of having a fairly large population of eligible candidates at the university, courses continue to suffer from low enrollment. The article provides information on enrollment since 1984 as well as the university policy for the support of French language study by members of faculty.


Author(s):  
D. Fraser ◽  
S. Sepehr ◽  
E. Stefanakis

This presentation describes a geospatial reference framework for managing student surveyed topographic data of a university campus. This topographic data is collected annually by Geodesy and Geomatics Engineering (GGE) students at the University of New Brunswick (UNB) as part of the requirements for a UNB course. Examples of the type of features collected include: buildings, roads, sidewalks, walking paths, bike racks, parking lots and parking designation (e.g. accessibility parking). The applications and the information products built for managing this student surveyed topographic data can be viewed as a geospatial reference framework for this GGE survey camp.


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