نتایج جستجو برای: I23

تعداد نتایج: 117  

Journal: :applied food biotechnology 0
olusegun a olaoye department of food science and technology, michael okpara university of agriculture, umudike, abia state, nigeria. abiodun a onilude department of microbiology, university of ibadan, ibadan, oyo state, nigeria. stella c ubbor department of food science and technology, michael okpara university of agriculture, umudike, abia state, nigeria.

this study evaluated the antimicrobial activities of two lactic acid bacteria, lactococcus lactis subsp. lactis i23 and lactococcus lactis subsp. lactis e91, against brochothrix thermosphacta in pork meat during storage at ambient temperature (30°c) for 168 h. the lab strains and the spoilage organism were inoculated on fresh pork samples at 1×106 cfug-1. results showed about 3 log reduction in...

Journal: :Reproductive BioMedicine Online 2013

Journal: :Journal of virology 2002
Alba-Lucia Combita Antoine Touzé Latifa Bousarghin Neil D Christensen Pierre Coursaget

The neutralizing activities of polyclonal antibodies and monoclonal antibodies (MAbs) obtained by immunization of mice with L1 virus-like particles (VLPs) were investigated by using pseudovirion infectivity assays for human papillomavirus type 16 (HPV-16), HPV-31, HPV-33, HPV-45, HPV-58, and HPV-59 to obtain a better definition of cross-neutralization between high-risk HPVs. In this study, we c...

Journal: :Acta Crystallographica Section A Foundations and Advances 2014

Journal: :Biochemical Society transactions 1994
B Priem H Morvan K C Gross

398 Unconjugated N-glycans as a new class of plant oligosaccharins Bernard Priern*$, Henri Morvant and Kenneth C. Gross$ *Centre de Recherches sur les Macromolecules Vegetales, CNRS, associe a I’Universite J. Fourier, B.P. 53 X, 38041 Grenoble cedex, France, tLaboratoire de Biologie Cellulaire Vegetate et Valorisation des Especes Ligneuses, I23 rue Albert Thomas, Universite de Limoges, 87060 Li...

2009
Savil Srivastava Ashutosh Saxena Christian Theobalt Sebastian Thrun Andrew Y. Ng

We present i23, an algorithm to reconstruct a 3D model from a single image taken with a normal photo camera. It is based off an automatic machine learning approach that casts 3D reconstruction as a probabilistic inference problem using a Markov Random Field trained on ground truth data. Since it is difficult to learn the statistical relations for all possible images, the quality of the automati...

Journal: :Acta Crystallographica Section A Foundations and Advances 2017

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