60 research outputs found
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No full textNot AvailableSalmonella is a serious food-borne pathogen which belongs to enterobacteriaceae family. All Salmonella
groups other than Salmonella typhi and S. paratyphi refers to as NTS (Non-Typhiodal Salmonella) which causes diseases from mild gastroenteritis to life threatening cases and it is becoming a great public concern
worldwide recently. Nearly 165 sea food samples from local markets of Cochin were screened for the Salmonella and it is found that the prevalence is 27.3 per cent . The 45 positive samples include many commercially important fishes, shellfishes and molluscs. All isolates were confirmed as positive by bio typing and by PCR targeting invA gene with 284 bp. Serotyping of these isolates confirmed the presence of various Non Typhiodal Salmonella strains like Salmonella typhimurium, S. salamae, S. urbana, etc. Some of the isolates were rough type which cannot be serotyped. Antibiogram profiling was performed against twenty
antibiotics like imepenem, ciprofloxacin, tobramycin, moxifloxacin, ofloxacin, ceftazidine, levofloxacin, norfloxacin, cotrimoxazole, colistin, nalidixic acid, augmentin, cefoxitin, gatifloxacin, gentamycin, amikacin, aztreonam, ceftriazone, cefpodoxime, nitrofurantoin etc. The Salmonella isolates showed the resistance towards third generation cephalosporins, carbapenem and nitrofurantoin groups.Not Availabl
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No full textNot AvailableStaphylococcus aureus is a pathogen known to cause hospital, community acquired and foodborne illness
with varying susceptibility to antibiotics. The selective pressure due to the use of antibiotics along with horizontal and vertical gene transfer has resulted in the evolution of multidrug resistant S.aureus. The purpose of the study was to determine the antibiotic resistance pattern in S. aureus isolated from seafood of Kerala, India. One hundred and thirty three S. aureus isolates obtained during 2012 to 2015 were included in this study. Antibiotic susceptibility testing was performed with a set of 20 antibiotics representing eleven classes of antibiotics by standard disk diffusion assay. The study revealed that 90.9% of the S. aureus isolates were resistant to at least one class of antibiotics. Resistance was found among 33.8, 27.8, 17.3, 6.8, 3.8, 0.7 and 0.7% isolates to one, two, three, four, five, six and eight classes of antibiotics respectively. Multidrug resistance was found in 29.3% of the S. aureus isolates with resistance to antibiotics ranging from 3 to 8 classes of antibiotics. The study reveals that S. aureus isolates were sensitive to aminoglycosides and
phenicols.Not Availabl
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No full textNot AvailableThe present study was carried out to monitor the incidence of coagulase positive Staphylococci in dried fish samples of Gujarat, India and assessed their molecular heterogeneity based on 16S rDNA sequence analysis. A total of 78 isolates of Staphylococci were recovered from 14 dried fish samples such as Parapenaeus stylifera, Otolithes cuvieri, Coilia dussumieri, Harpodon nehereus, Saurida tumbil, Lepturacanthus savala,
Megalaspis cordyla, Arius dussumieri, Gerres subfasciatus, Aluterus monoceros, Stolephorus indicuse and Cynogolssus macrolepidotus. The total Staphylococcal count ranged between 1.0 x 101 to 9.6 x105 cfu. g-1 with an overall incidence of staphylococci as 46.67 per cent. Among the 14 dried fried sample, 21.43 per cent of them harboured coagulase positive Staphylococci. The isolated 15 CPS were molecularly confirmed to species based on 16S rDNA partial sequences analysis at NCBI public domain as S. aureus. Based on
maximum identity score, sequences were aligned using multiple sequence alignment and phylogenetic tree was constructed using PHYLIP program based on Neighbour- Joining method. The study clearly indicates the possibility of contamination of S. aureus from different sources such as workers, salt and water during the different stages of processing of dried fish such as poor quality raw materials, open drying areas, contamination of cleaning and cutting equipment surface and improper storage etc. It is further suggesting that strict
hygienic code of practice is to be followed during the entire chain of processing of dried fish.Not Availabl
Early Detection of Diabetic Retinopathy Using Dynamic Routing CapsNet with EfficientNet Feature Extraction
No full textDiabetes patients may develop diabetic retinopathy, an eye disorder that may result in blindness and vision loss. It is considered as the major cause of blindness in the world among the working-age people. It can result in blindness if it is not discovered early. Moreover, there is no cure for DR; treatment keeps the eyesight intact. Early diagnosis and treatment of DR can greatly lower the possibility of visual loss. This paper proposes a novel Dynamic Routing-CapsNet (DR-CN) algorithm by integrating Dynamic Routing algorithm and Capsule Networks (CapsNet). The Dynamic Routing algorithm is used to train the network and create relationships between the capsules. Then, the EfficientNet is used for feature extraction because of its high accuracy and scalability. Also, the Capsnet is used for employing the relationship between the features by enhancing the performance of the method to differentiate among the various stages of DR. This method was performed based on the dataset which achieves a result of 98% accuracy by using the Convolutional Neural Networks (CNN) employing classification accuracy. Moreover, CNN is very effective for the classification of the images because they can easily learn about the features from the input images. These findings demonstrate that Dynamic Routing-CapsNet (DR-CN) algorithm provides a solution for DR screening, efficiently helps in early detection, and is useful for the healthcare system by reducing its difficulty in detection. Dense U-Net demonstrated exceptional segmentation performance, achieving accuracy rates of 0.94 (training set variation) and 0.93 (K-Fold cross-validation). Additionally, DR-CN showcased outstanding diabetic retinopathy classification results with 98.6% accuracy, 94.4% sensitivity, 94.3% specificity, and 96.2% F-Measure
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No full textNot AvailableThe present study was carried out to estimate the prevalence of Methicillin resistant and multiple Drug resistant (MDR) S. aureus in retail fishery outlets of Cochin and Mumbai coast of India. In total 252 Staphylococcus aureus isolates were obtained from 105 fish samples and further confirmed by polymerase chain reaction (PCR) using 16S rDNA region specific primer for S. aureus. In antibiogram analysis against 20 antimicrobial agents, highest resistant was found to erythromycin (31.14%), followed by azithromycin (25.79%) and clarithromycin (20.24%). One S. aureus isolate was resistant to methicillin, which was further confirmed by PCR using mecA gene primers specific for MRSA. The higher incidence of MDR S. aureus and the presence of MRSA in fish indicate high risk to public health.Not Availabl
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