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Sharma, Nitika
- Gender Diversity in E-Tailing Satisfaction
Abstract Views :262 |
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Authors
Affiliations
1 Department of Commerce, University of Jammu, Jammu & Kashmir, IN
2 NIT, Srinagar, Jammu & Kashmir, IN
3 ICCCR and HRM, University of Jammu, Jammu & Kashmir, IN
1 Department of Commerce, University of Jammu, Jammu & Kashmir, IN
2 NIT, Srinagar, Jammu & Kashmir, IN
3 ICCCR and HRM, University of Jammu, Jammu & Kashmir, IN
Source
International Journal on Customer Relations, Vol 3, No 2 (2015), Pagination: 11-15Abstract
The study empirically explores the gender-wise differences in perception regarding customer satisfaction in online shopping. The data were collected from 200 respondents who shopped online, contacted through purposive sampling. The respondents were contacted both physically as well as through e-mails, social media like Facebook, Whats app etc. The results depict that e-customers seem to receive detailed information from the website/application about their orders and the e-store protects their information. As far as inventory, prices, quality of products, return/cancellation policy, visual interface of website/application, and browsing experience are concerned, scores for males turned out to be higher than females. On the other hand, females seemed more satisfied as far as lucrative offers, variety of products, payment options; website and advertisement customisation is concerned.Keywords
Gender, Diversity, E-Tailing, Social Media, Online Shopping.
- Removal of Noise From ECG Signal Using Adaptive Filtering
Abstract Views :130 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Lovely Professional University, Phagwara – 144411,Punjab, IN
1 Department of Electronics and Communication Engineering, Lovely Professional University, Phagwara – 144411,Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 48 (2016), Pagination:Abstract
Noise removal from a non-stationary signal like Electrocardiogram (ECG) signal is a major problem. Moreover, nullifying different noises using different adaptive algorithms –Least Mean Square (LMS), Normalized Least Mean Square (NLMS) etc. from ECG signal is one of the advance studies in biomedical signal processing. In this paper, we will discuss how we can remove different type of noises like 50Hz Power-Line Interference, Base-line Wandering and Muscle Contraction noise from an ECG signal using an adaptive filter. Different performance parameters such as, Signal-to-Noise Ratio, Mean Square Error and Root Mean Square Error are also calculated to compare the results. Real time data has been collected from MITBIH arrhythmia database. At the end, results show the better performance of adaptive NLMS filter for removing different noises over adaptive LMS filter.Keywords
Component, Formatting, Insert (Key Words), Style, Styling.Full Text
- Prevalence and Bacterial Etiology of Subclinical Mastitis in Goats Reared in Organized Farms
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Materials and Methods: A total of 181 composite milk samples were aseptically collected from the apparently healthy Barbari (n=95) and Jamunapari (n=86) goats. The California mastitis test (CMT) and somatic cell count (SCC) were used to diagnose SCM. The milk samples with CMT scores of 0 and +1 were considered as negative, while the samples with the score of +2 or +3 were taken as positive, and further, the positive samples were used for the bacteriological examination. An antibiotic sensitivity test was performed by disk diffusion method using seven commercially available antibiotic discs.
Results: All the samples having CMT score of +2 or +3 demonstrated SCC more than 1 million. Overall, the prevalence of SCM in the goats was assessed as 19.89% (36/181). The prevalence of SCM in Barbari and Jamunapari goats was found as 24.21% (23/95) and 15.12% (13/86), respectively. Out of 11 isolates of Staphylococci, 9 isolates were identified as coagulase-negative Staphylococci (CNS), whereas 2 isolates were found as Staphylococcus aureus. The identified bacterial isolates (n=30) did not show antibiotic resistance.
Conclusion: The current investigation showed the considerable prevalence of SCM among Jamunapari and Barbari goats which may have a negative impact on quantity and quality of the milk. CNS was found as the most prevalent cause of SCM in the goats. Negligible antibiotic resistance was found among the identified udder pathogens.
Authors
A. K. Mishra
1,
Nitika Sharma
1,
D. D. Singh
2,
K. Gururaj
1,
Abhishek
3,
Vijay Kumar
1,
D. K. Sharma
1
Affiliations
1 Division of Animal Health, ICAR-Central Institute for Research on Goats, Makhdoom, Farah, Mathura-281122, Uttar Pradesh, IN
2 Department of Veterinary Pathology, College of Veterinary Sciences, N.D.U.A.&T., Faizabad-224229, Uttar Pradesh, IN
3 Division of Bacteriology, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Uttar Pradesh, IN
1 Division of Animal Health, ICAR-Central Institute for Research on Goats, Makhdoom, Farah, Mathura-281122, Uttar Pradesh, IN
2 Department of Veterinary Pathology, College of Veterinary Sciences, N.D.U.A.&T., Faizabad-224229, Uttar Pradesh, IN
3 Division of Bacteriology, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Uttar Pradesh, IN
Source
Veterinary World, Vol 11, No 1 (2018), Pagination: 20-24Abstract
Aim: Assessment of the status of subclinical mastitis (SCM) in Jamunapari and Barbari goats in Indian organized farms, the involvement of bacterial pathogens and their sensitivity to antibiotics.Materials and Methods: A total of 181 composite milk samples were aseptically collected from the apparently healthy Barbari (n=95) and Jamunapari (n=86) goats. The California mastitis test (CMT) and somatic cell count (SCC) were used to diagnose SCM. The milk samples with CMT scores of 0 and +1 were considered as negative, while the samples with the score of +2 or +3 were taken as positive, and further, the positive samples were used for the bacteriological examination. An antibiotic sensitivity test was performed by disk diffusion method using seven commercially available antibiotic discs.
Results: All the samples having CMT score of +2 or +3 demonstrated SCC more than 1 million. Overall, the prevalence of SCM in the goats was assessed as 19.89% (36/181). The prevalence of SCM in Barbari and Jamunapari goats was found as 24.21% (23/95) and 15.12% (13/86), respectively. Out of 11 isolates of Staphylococci, 9 isolates were identified as coagulase-negative Staphylococci (CNS), whereas 2 isolates were found as Staphylococcus aureus. The identified bacterial isolates (n=30) did not show antibiotic resistance.
Conclusion: The current investigation showed the considerable prevalence of SCM among Jamunapari and Barbari goats which may have a negative impact on quantity and quality of the milk. CNS was found as the most prevalent cause of SCM in the goats. Negligible antibiotic resistance was found among the identified udder pathogens.
Keywords
California Mastitis Test, Coagulase-Negative Staphylococci, Goat, Somatic Cell Count, Subclinical Mastitis.Full Text