Browsing by Author "Risvanli, A."
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Web of Science Efficacy of a novel veterinary argon plasma coagulation device in treating teat canal stenosis(2023.01.01) Saat, N.; Risvanli, A.; Dogan, H.; Safak, T.; Yilmaz, O.; Yuksel, B.; Kilinc, M.A.; Taskin, M.Teat canal stenosis is a significant factor that impedes milking and can lead to cows being unable to rear. Because the methods applied in the treatment of teat canal stenosis are mostly unsuccessful, animals with the disease are usually removed from breeding. In this case, it causes great damage to the livestock economy in the world. This study aimed to determine the efficacy of the veterinary argon plasma coagulation device, a newly developed treatment for teat canal stenosis. A two-stage study was conducted for this purpose. In the first stage, as a material, 30 teats from 30 cows of varying ages and breeds were selected. The cows were randomly divided into three groups. The first group (n=10) underwent closed operations using instruments such as occult mammary scalpels, papillomas, and udder probes, depending on the severity and condition of their teat stenosis. The second group (n=10) received a preparation containing 8 mg chemotrypsin, 8 mg trypsin, 4 mg papain, 100,000 IU retinol palmitate, and 120 mg tocopherol acetate per ml without any operation. The preparation, containing 4 mg chemotrypsin, 4 mg trypsin, and 10 mg papain in each ml, was administered intramammary three times at 12-hour intervals once a day at a dose of 0.4 ml/10 kg intramuscularly for three days. The third group (n=10) received veterinary argon plasma coagulation device through the teat canal. In the second stage, veterinary argon plasma coagulation device was utilized to treat 104 stenosed teat canals. Based on the findings, the group in which veterinary argon plasma coagulation device was applied exhibited the best recovery rate (90%) at the end of the third week in the study's first phase. In the study's second phase, 89.42% of the nipples treated with veterinary argon plasma coagulation device were completely healed. In both stages of the study, it was established that the recovery criteria could not be detected as stenosis and that the milk flow was continuous due to weekly ultrasonographic and clinical examinations. Therefore, it can be concluded that the newly developed veterinary argon plasma coagulation device is a portable device that can be used to treat teat canal stenosis.Web of Science Metrisor: A novel diagnostic method for metritis detection in cattle based on machine learning and sensors(2024.01.01) Risvanli, A.; Tanyeri, B.; Yildirim, G.; Tatar, Y.; Gedikpinar, M.; Kalender, H.; Safak, T.; Yuksel, B.; Karagulle, B.; Yilmaz, O.; Kilinc, M.A.The Metrisor device has been developed using gas sensors for rapid, highly accurate and effective diagnosis of metritis. 513 cattle uteri were collected from abattoirs and swabs were taken for microbiological testing. The Metrisor device was used to measure intrauterine gases. The results showed a bacterial growth rate of 75.75 % in uteri with clinical metritis. In uteri positive for clinical metritis, the most commonly isolated and identified bacteria were Trueperella pyogenes, Fusobacterium necrophorum and Escherichia coli. Measurements taken with Metrisor to determine the presence of metritis in the uterus yielded the most successful results in evaluations of relevant machine learning algorithms. The ICO (Iterative Classifier Optimizer) algorithm achieved 71.22 % accuracy, 64.40 % precision and 71.20 % recall. Experiments were conducted to examine bacterial growth in the uterus and the random forest algorithm produced the most successful results with accuracy, precision and recall values of 78.16 %, 75.30 % and 78.20 % respectively. ICO also showed high performance in experiments to determine bacterial growth in metritis-positive uteri, with accuracy, precision and recall values of 78.97 %, 77.20 % and 79.00 %, respectively. In conclusion, the Metrisor device demonstrated high accuracy in detecting metritis and bacterial growth in uteri and could identify bacteria such as E. coli, S. aureus, coagulase-negative staphylococci, T. pyogenes, Bacillus spp., Clostridium spp. and F. necrophorum with rates up to 80 %. It provides a reliable, rapid and effective means of detecting metritis in animals in the field without the need for laboratory facilities.Scopus Metrisor: A novel diagnostic method for metritis detection in cattle based on machine learning and sensors(Elsevier Inc., 2024) Risvanli, A.; Tanyeri, B.; Yildirim, G.; Tatar, Y.; Gedikpinar, M.; Kalender, H.; Safak, T.; Yuksel, B.; Karagulle, B.; Yilmaz, O.; Kilinc, M.A.The Metrisor device has been developed using gas sensors for rapid, highly accurate and effective diagnosis of metritis. 513 cattle uteri were collected from abattoirs and swabs were taken for microbiological testing. The Metrisor device was used to measure intrauterine gases. The results showed a bacterial growth rate of 75.75 % in uteri with clinical metritis. In uteri positive for clinical metritis, the most commonly isolated and identified bacteria were Trueperella pyogenes, Fusobacterium necrophorum and Escherichia coli. Measurements taken with Metrisor to determine the presence of metritis in the uterus yielded the most successful results in evaluations of relevant machine learning algorithms. The ICO (Iterative Classifier Optimizer) algorithm achieved 71.22 % accuracy, 64.40 % precision and 71.20 % recall. Experiments were conducted to examine bacterial growth in the uterus and the random forest algorithm produced the most successful results with accuracy, precision and recall values of 78.16 %, 75.30 % and 78.20 % respectively. ICO also showed high performance in experiments to determine bacterial growth in metritis-positive uteri, with accuracy, precision and recall values of 78.97 %, 77.20 % and 79.00 %, respectively. In conclusion, the Metrisor device demonstrated high accuracy in detecting metritis and bacterial growth in uteri and could identify bacteria such as E. coli, S. aureus, coagulase-negative staphylococci, T. pyogenes, Bacillus spp., Clostridium spp. and F. necrophorum with rates up to 80 %. It provides a reliable, rapid and effective means of detecting metritis in animals in the field without the need for laboratory facilities.