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1.
Open Vet J ; 12(1): 44-60, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35342737

RESUMO

Background: External parasites contribute to extensive harmful impacts on their hosts which is why control and eradication of external parasites have been included in all biosecurity plans of dog houses. Aim: To evaluate the in-vitro and in-vivo effectiveness of chemicals like Doramectin injectable and Fipronil 50 mg/ml drops and herbal mixes eco-friendly insecticides like phenylpyrazole-garlic-camphor mix spray for combating the external parasitism in dogs and their influence on the hematological, biochemical, and cortisol (CORT) profiles. Method: The in-vitro effectiveness of the insecticides was conducted by using a total of 216 developmental stage Rhipicephalus sanguineus (72 adults, 72 larvae, and 72 eggs) designed into three replicates of petri dishes (3 plates × 8 units × 3 stages/replicate); each replicate was exposed to 1 ml insecticide. The number of surviving ticks was recorded after 0, 2, 4, 8, 16, and 24 hours. Sixteen Rottweiler male dogs aged 1 year and 45.5 kg were divided into four groups. Three groups (G1, G2, and G3) were experimentally infested with R. sanguineus ticks 3-4 weeks post-dog arrival and kept under observation from zero-time of experimental infestation for 1-2 weeks. The three experimentally infested dog groups were treated with Doramectin injectable, Fipronil 50 mg/ml drops, and phenylpyrazole-garlic-camphor mix spray, respectively, and the fourth group was designed as a negative control. A total of 144 samples, including 48 ethylenediaminetetraacetic acid blood, 48 whole blood, and 48 sera samples, were collected. Results: The in-vitro efficacy revealed highly significant (p < 0.01) 100% killing efficacy that was achieved after 8 hours in Doramectin and Fipronil 50 mg/ml and 24 hours in phenylpyrazole-garlic-camphor mix. The in-vivo trials revealed highly significant (p < 0.01) improvements of red blood cells, hematocrit, mean corpuscular hemoglobin concentrations, platelets, total and differential leukocytic counts, erythrocyte sedimentation rates in the second hour, total protein, creatinine, alanine aminotransferase, urea, glucose, triglycerides, total cholesterol, and CORT levels in the 2-week (P1) and 4-week posttreatment (P2) samples in Dormectin, Fipronil 50 mg/ml, and phenylpyrazole-garlic-camphor mix-treated dogs with more pronounced recovery in phenylpyrazole-garlic-camphor mix spray-treated dogs. Conclusion: The insecticides were able to provide a high level of protection against experimental infestation with concern to the different modes of application. Phenylpyrazole-garlic-camphor mix spray (eco-friendly) achieved higher insecticidal action compared to the chemicals.


Assuntos
Doenças do Cão , Inseticidas , Rhipicephalus sanguineus , Infestações por Carrapato , Administração Tópica , Animais , Cânfora/uso terapêutico , Doenças do Cão/tratamento farmacológico , Doenças do Cão/parasitologia , Doenças do Cão/prevenção & controle , Cães , Inseticidas/farmacologia , Masculino , Infestações por Carrapato/tratamento farmacológico , Infestações por Carrapato/prevenção & controle , Infestações por Carrapato/veterinária
2.
PeerJ Comput Sci ; 7: e558, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34239969

RESUMO

Recently, many users prefer online shopping to purchase items from the web. Shopping websites allow customers to submit comments and provide their feedback for the purchased products. Opinion mining and sentiment analysis are used to analyze products' comments to help sellers and purchasers decide to buy products or not. However, the nature of online comments affects the performance of the opinion mining process because they may contain negation words or unrelated aspects to the product. To address these problems, a semantic-based aspect level opinion mining (SALOM) model is proposed. The SALOM extracts the product aspects based on the semantic similarity and classifies the comments. The proposed model considers the negation words and other types of product aspects such as aspects' synonyms, hyponyms, and hypernyms to improve the accuracy of classification. Three different datasets are used to evaluate the proposed SALOM. The experimental results are promising in terms of Precision, Recall, and F-measure. The performance reaches 94.8% precision, 93% recall, and 92.6% f-measure.

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