General method for production and selection of infectious vaccinia virus recombinants expressing foreign genes.

1984 ◽  
Vol 49 (3) ◽  
pp. 857-864 ◽  
Author(s):  
M Mackett ◽  
G L Smith ◽  
B Moss
2015 ◽  
Vol 1120-1121 ◽  
pp. 670-674
Author(s):  
Abdelmadjid Ait Yala ◽  
Abderrahmanne Akkouche

The aim of this work is to define a general method for the optimization of composite patch repairing. Fracture mechanics theory shows that the stress intensity factor tends towards an asymptotic limit K∞.This limit is given by Rose’s formula and is a function of the thicknesses and mechanical properties of the cracked plate, the composite patch and the adhesive. The proposed approach consists in considering this limit as an objective function that needs to be minimized. In deed lowering this asymptote will reduce the values of the stress intensity factor hence optimize the repair. However to be effective this robust design must satisfy the stiffness ratio criteria. The resolution of this double objective optimization problem with Matlab program allowed us determine the appropriate geometric and mechanical properties that allow the optimum design; that is the selection of the adhesive, the patch and their respective thicknesses.


BIO-PROTOCOL ◽  
2021 ◽  
Vol 11 (24) ◽  
Author(s):  
Anjali Gowripalan ◽  
Stewart Smith ◽  
David Tscharke
Keyword(s):  

1989 ◽  
Vol 131 ◽  
pp. 351-351
Author(s):  
N. Meyssonnier ◽  
M. Azzopardi ◽  
J. Lequeux ◽  
R. Gathier

Our general method for finding planetary nebulae (PN) is to make wide field objective-prism or objective-grating low-dispersion spectra on photographic plates, PN stand up amongst other emission-line objects either as Hα + [N II] 6548-6583 A emitters or as [O III] 50007 A emitters with faint or no continuum, higher-resolution spectroscopy is used for confirming a selection of candidates.


Author(s):  
ROSA BLANCO ◽  
PEDRO LARRAÑAGA ◽  
IÑAKI INZA ◽  
BASILIO SIERRA

Despite the fact that cancer classification has considerably improved, nowadays a general method that classifies known types of cancer has not yet been developed. In this work, we propose the use of supervised classification techniques, coupled with feature subset selection algorithms, to automatically perform this classification in gene expression datasets. Due to the large number of features of gene expression datasets, the search of a highly accurate combination of features is done by means of the new Estimation of Distribution Algorithms paradigm. In order to assess the accuracy level of the proposed approach, the naïve-Bayes classification algorithm is employed in a wrapper form. Promising results are achieved, in addition to a considerable reduction in the number of genes. Stating the optimal selection of genes as a search task, an automatic and robust choice in the genes finally selected is performed, in contrast to previous works that research the same types of problems.


2021 ◽  
Author(s):  
Wyatt Powell ◽  
Garrett Evenson ◽  
Maciej Walczak

Amide activation is a challenging transformation due to the stabilizing effect of the amide group. While enzymes can be considered as prototypical systems that have evolved to achieve high selectivity and specificity, small-molecule catalysts that functionalize the amide group may accommodate a much larger selection of substrates but currently re-main scarce. Here, by combining the desired features from both catalytic regimes we designed an artificial cyclodehy-dratase, a catalytic system for site-selective modification of peptides and natural products by engrafting heterocyclic into their scaffolds. The catalytic system features molybdenum(VI) center that was decorated with a sterically congest-ed tripod ligand. The optimized catalyst can introduce azolines into small molecules, natural products, and oligopeptides with high efficiency and minimal waste. We further demonstrate the utility of the new protocol in direct func-tionalization of a single amide group in the presence of up to seven other chemically similar positions, and direct conversion into amines and thioamides. This new mechanistic paradigm may address an unmet need for a general method for selective and sustainable functionalization of peptides and natural products.


1935 ◽  
Vol 2 (3) ◽  
pp. A81-A86
Author(s):  
W. E. Johnson

Abstract General types of balancing problems are classified into three groups: Those requiring perfect balance, those in which the machine inherently is balanced sufficiently well for practical purposes, and those requiring a distinct compromise, such as single-cylinder engines. It is a method of securing an optimum condition for the last class that is presented. The method consists, first, of the selection of a suitable criterion for the particular problem, such as minimizing the average potential energy of vibration in a spring mounting, which tends to secure the least possible transmission of vibration. Another criterion may reduce the vibration of the machine itself to a minimum. The selection of a suitable criterion is a matter for the judgment of the designer. When the selection is made, the attainment of the optimum sought is carried out by mathematical analysis. This general method is particularly useful for balancing spring-mounted machines. An illustrative problem is given for this case, showing the effects of working to several different criteria.


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