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Featured researches published by Natalia da Silva.


Preventive Veterinary Medicine | 2013

A mixed treatment comparison meta-analysis of antibiotic treatments for bovine respiratory disease

Annette M. O’Connor; Johann F. Coetzee; Natalia da Silva; Chong Wang

In this publication we use mixed treatment comparison meta-analysis to compare the efficacy of antibiotic treatments for bovine respiratory disease in beef cattle. Studies were eligible for the meta-analysis if they were publically available and reported the assessment of antibiotic protocols registered for use in the United States (US) for bovine respiratory disease (BRD) in beef cattle and were conducted in North America. Three electronic databases, the proceedings of two bovine specific conferences, pharmaceutical company web sites and the US Food and Drug Administration website were searched to identify relevant trials. The network of evidence used in the analysis contained 194 trial arms from 93 trials. Of the 93 trials there were 8 with three arms. The network of evidence contained information for 12 antibiotics. The output from the analysis provided information about the risk ratio comparing all possible treatments for BRD including comparisons based only on indirect data. The output also included a relative ranking of the treatments and estimates of the probability that an antibiotic protocol was the worst treatment option.


F1000Research | 2015

Pain and sickness behavior associated with corneal lesions in dairy calves

Brandon J. Woods; Suzanne T. Millman; Natalia da Silva; Reneé Dewell; Rebecca L. Parsons; Chong Wang; Annette M. O'Connor

Infectious bovine keratoconjunctivitis (IBK) is a common corneal disease of calves that adversely affects animal welfare by causing pain and weight loss. Identifying behavioral indicators of pain and sickness in calves with IBK is necessary for designing studies that aim to identify effective means of pain mitigation. Consistent with principles of the 3Rs for animal use in research, data from a randomized blinded challenge study was used to identify and describe variation of behaviors that could serve as reliable indicators of pain and sickness in calves with corneal injuries. Behavioral observations were collected from 29 Holstein calves 8 to 12 weeks of age randomly allocated to one of three treatments: (1) corneal scarification only, (2) corneal scarification with inoculation with Moraxella bovoculi and (3) corneal scarification with inoculation with Moraxella bovis. Behavior was continuously observed between time 1230 - 1730 h on day -1 (baseline time period) and day 0 (scarification time period). Corneal scarification and inoculation occurred between 0800 - 1000 h on day 0. Frequency of head-directed behaviors (head shaking, head rubbing, head scratching) and durations of head rubbing, feeding, standing with head lifted, lying with head lifted and sleeping were compared between study days and groups. Following scarification, the frequency of head-directed behavior significantly increased (p = 0.0001), as did duration of head rubbing (p=0.02). There was no significant effect of trial, trial day, treatment or treatment-day interaction on other behaviors studied. Our study demonstrated that head-directed behavior, such as head shaking, rubbing and scratching, was associated with scarification of eyes using an IBK challenge model, but sickness behavior was not observed.


Cuadernos de Economía | 2010

¿Qué Incentivos al Retiro Genera la Seguridad Social?: El Caso Uruguayo

Ignacio Álvarez; Natalia da Silva; Alvaro Forteza; Ianina Rossi


Revista de economía | 2009

El retiro de los trabajadores uruguayos y la seguridad social

Ignacio Álvarez; Natalia da Silva; Alvaro Forteza; Ianina Rossi


Estudios De Economia | 2012

Incentivos y patrones de retiro en Uruguay

Ignacio Álvarez; Natalia da Silva; Alvaro Forteza; Ianina Rossi


Archive | 2009

Uruguayan Workers Retirement and Social Security (El Retiro de los Trabajadores Uruguayos y la Seguridad Social)

Natalia da Silva; Ignacio Álvarez; Alvaro Forteza; Ianina Rossi


arXiv: Machine Learning | 2018

A Projection Pursuit Forest Algorithm for Supervised Classification.

Natalia da Silva; Dianne Cook; Eun Kyung Lee


arXiv: Machine Learning | 2017

Interactive Graphics for Visually Diagnosing Forest Classifiers in R

Natalia da Silva; Dianne Cook; Eun Kyung Lee


Archive | 2017

Clicks and Cliques. Exploring the Soul of the Community.

Natalia da Silva; Ignacio Alvarez-Castro


Quantum: revista de administración, contabilidad y economía | 2009

Producto Potencial y Brecha de Producto en Uruguay

Silvia Rodríguez; Ignacio Álvarez; Natalia da Silva

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Ignacio Álvarez

University of the Republic

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Alvaro Forteza

University of the Republic

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Ianina Rossi

University of the Republic

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Eun Kyung Lee

Seoul National University

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