scholarly journals Comparative Durability of Common Stains Used for Exfoliative Vaginal ‎Cytology

2021 ◽  
Vol 18 (2) ◽  
pp. 9-16
Author(s):  
N. V. Ani ◽  
T. P. Ogundunmade ◽  
D. Daniel ◽  
K. A. Raheem ◽  
E. O. Odirichukwu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Quality Index ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Gentian Violet ◽  
Nuclear Staining ◽  
Multinomial Logistic Regression Model ◽  
Durability Index ◽  
Vaginal Cytology

In a study to compare the durability of commonly used stains (Giemsa, Leishman, Wright, Eosin, Nigrosin and Gentian violet) for exfoliative vaginal cytology, vaginal smear was obtained from eleven apparently healthy West African Dwarf (WAD) female Goats and processed according to standard technique. Scores (0-3) were given on four parameters namely background of smears, overall staining pattern, cytoplasmic staining and nuclear staining. Quality index one (QI-I) was calculated from the ratio of score achieved to the maximum score possible (12), immediately post staining while quality index–II (QI-II) was obtained 35 days after. Calculation for durability index (DI) was self-derived and equalled to ratio of QI-II to QI-I. The data were presented as mean ± SEM. Multinomial logistic regression model was generated for the QI-I and QI-II using durability index as reference category. Giemsa, Leishman and Wright stains were more durable than others with their mean DI values significantly (P < 0.05) higher than Gentian violet, Nigrosin and Eosin.The model showed 89.2% overall model accuracy for the multinomial logistic regression model and 81.5% for the multinomial Bayes Naïve regression model. In conclusion, Giemsa, Leishman and Wright stains were more reliable and durable for exfoliative vaginal cytology compared to the other stains.

scholarly journals Burden and predictors ofStaphylococcus aureusandS. pseudintermediusinfections among dogs presented at an academic veterinary hospital in South Africa (2007–2012)

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3198 ◽  
Author(s):  
Daniel N. Qekwana ◽  
James Wabwire Oguttu ◽  
Fortune Sithole ◽  
Agricola Odoi
Keyword(s):  
South Africa ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Risk Of Infection ◽  
Multinomial Logistic Regression Model ◽  
Tract Infections ◽  
Veterinary Hospital ◽  
Isolated Species

BackgroundStaphylococci are commensals of the mucosal surface and skin of humans and animals, but have been implicated in infections such as otitis externa, pyoderma, urinary tract infections and post-surgical complications. Laboratory records provide useful information to help investigate these infections. Therefore, the objective of this study was to investigate the burdens of these infections and use multinomial regression to examine the associations between variousStaphylococcusinfections and demographic and temporal factors among dogs admitted to an academic veterinary hospital in South Africa.MethodsRecords of 1,497 clinical canine samples submitted to the bacteriology laboratory at a veterinary academic hospital between 2007 and 2012 were included in this study. Proportions of staphylococcal positive samples were calculated, and a multinomial logistic regression model was used to identify predictors of staphylococcal infections.ResultsTwenty-seven percent of the samples tested positive forStaphylococcusspp. The species ofStaphylococcusidentified wereS. pseudintermedius(19.0%),S. aureus(3.8%),S. epidermidis(0.7%) andS. felis(0.1%). The remaining 2.87% consisted of unspeciatedStaphylococcus. Distribution of the species by age of dog showed thatS. pseudintermediuswas the most common (25.6%) in dogs aged 2–4 years whileS. aureuswas most frequent (6.3%) in dogs aged 5–6 years.S. pseudintermedius(34.1%) andS. aureus(35.1%) were the most frequently isolated species from skin samples. The results of the multivariable multinomial logistic regression model identified specimen, year and age of the dog as significant predictors of the risk of infection withStaphylococcus. There was a significant temporal increase (RRR = 1.17; 95% CI [1.06–1.29]) in the likelihood of a dog testing positive forS. pseudintermediuscompared to testing negative. Dogs ≤ 8 years of age were significantly more likely to test positive forS. aureusthan those >8 years of age. Similarly, dogs between 2–8 years of age were significantly more likely to test positive forS. pseudintermediusthan those >8 years of age. In addition, dogs 2–4 years of age (RRR = 1.83; 1.09–3.06) were significantly more likely to test positive forS. pseudintermediuscompared to those <2 years of age. The risk of infection withS. pseudintermediusorS. aureuswas significantly higher in ear canal and skin specimens compared to other specimens.ConclusionsThe findings suggest thatS. pseudintermediusandS. aureuswere the most commonly isolated species from dogs presented at the study hospital. Age of the dog and the location of infection were significant predictors of infection with bothStaphylococcusspecies investigated. Significant increasing temporal trend was observed forS. pseudintermediusbut notS. aureus. This information is useful for guiding clinical decisions as well as future research.

Diachronic frame analysis

2019 ◽  
Vol 11 (1) ◽  
pp. 43-78
Author(s):  
James Law
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Frame Analysis ◽  
Semantic Change ◽  
Frame Semantics ◽  
Multinomial Logistic Regression Model ◽  
Grammatical Category

Abstract Frame Semantics offers a valuable perspective on mechanisms of semantic change, particularly metonymy. However, corpus-based frame analysis has rarely been applied to diachronic data. The potential of this approach is illustrated with a diachronic description of the Purpose frame in French, based on 1,429 tokens of 17 frame-evoking words. Metonymic mappings in the frame allow Means and Medium to replace Agent. A multinomial logistic regression model shows that usage of these mappings has increased since 1600 and is conditioned by genre and the frequency and grammatical category of the frame-evoking word. The approach may inform how metonymy leads to lexicalized semantic change.

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