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Sujatha, G.
- A Case Report on Variant Origin of Right Gastric Artery Seen in a Cadaver in a Medical College of Coastal Andhra Pradesh
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Authors
Affiliations
1 Dept.Of Anatomy, G.S.L.Medical College, Rajahmundry, A.P. 533296, IN
2 Dept.Of Anatomy, G.S.L.Medical College, Rajahmundry, A.P. 533296
3 GSL Medical College, Rajahmundry, A.P, IN
1 Dept.Of Anatomy, G.S.L.Medical College, Rajahmundry, A.P. 533296, IN
2 Dept.Of Anatomy, G.S.L.Medical College, Rajahmundry, A.P. 533296
3 GSL Medical College, Rajahmundry, A.P, IN
Source
International Journal of Contemporary Medicine, Vol 2, No 1 (2014), Pagination: 200-202Abstract
The arterial and venous circulation of the bowel is complex, which provides a rich blood supply to aid in the digestive process and also serves to protect the bowel from potential ischemia or infarction. Right gastric artery (RGA) supplies the body of stomach from the right margin of the lesser omentum and also supplies the pyloric part of stomach. Knowledge of RGA origin variation is helpful for surgeons who are operating near lesser omentum and pyloric part of stomach. RGA usually arises from proper hepatic artery, but in our observation we found that RGA was arising directly from celiac trunk. If knowledge of this kind of observation will prevent complications like operative and post operative hemorrhages. Knowledge of RGA variations will be helpful during embolisation of RGA in patents undergoing hepatic arterial infusion chemotherapy.Keywords
Right Gastric Artery, Common Hepatic Artery, Proper Hepatic Artery, Celiac Trunk Etc
- Determination of Physical Properties of Onions (Arka kirthiman)
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Authors
Affiliations
1 Department of Farm Machinery and Power, College of Agricultural Engineering, Madakasira, Anantapur (DT.) (A.P.), IN
2 College of Agricultural Engineering, Madakasira, Anantapur (DT.) (A.P.), IN
1 Department of Farm Machinery and Power, College of Agricultural Engineering, Madakasira, Anantapur (DT.) (A.P.), IN
2 College of Agricultural Engineering, Madakasira, Anantapur (DT.) (A.P.), IN
Source
International Journal of Processing and Post harvest Technology, Vol 7, No 1 (2016), Pagination: 36-41Abstract
India produces about 13 per cent of total worlds onion product and ranked second after China. Onion is grown in an area of 1.0 mha in India with the production of 15.1 million tonnes and productivity of 14.2 tonnes/ hectare. Broad casting method of growing onion seeds results in the higher amount of seed rate, non-uniform distribution of seeds, poor bulb maturity and higher nutrient competition. To overcome these constraints there is a need to develop animal drawn onion seeder, which is more adaptable for small scale farmers under rainfed cultivation with reasonable cost of operation. To develop the desired seed metering unit of animal drawn seeder some of the onion seed physical properties viz., seed dimensions, weight and mechanical properties were determined. The length, width and thickness of Artthi Kirthiman onion variety were in the range of 2.50-2.95 mm, 1.75-2.24 mm and 1.33-1.53 mm, respectively. Geometric mean diameter, spherisity, weight, bulk density, true density, porosity and angle of repose were found to be 1.96 mm, 0.71 cm, 3.69 g, 520 kg/m³, 975.4 kg/m³, 48 per cent and 48.69°, respectively. The Co-efficient of static friction on glass and mild steel were found to be 0.521 and 0.556, respectively.Keywords
Animal Drawn Seeder, Angle of Repose, Moisture Content, Static Friction.References
- Bahnasawy, A.H., Haddad, Z.A., Ansary, M.Y. and Sorour, H.M. (2004). Physical and mechanical properties of some Egyptian onion cultivars. J. Food Engg., 62 : 255–261.
- Carman, K. (1996). Some physical properties of lentil seeds. J. Agric. Engg. Res., 63(6) : 87-92.
- Chhina, R.S. and Sharma, A.D. (2011). Studies on physical properties of onion seeds (Allium cepa). Prog. Hort., 43 (1): 76-80.
- Nimkar, P.M., Dipali, S., Mandwe and Dudhe, M.R. (2005). Physical properties of moth gram. Biosystem Engg., 91(2):183-189.
- Ramya, M. (2006). Studies on male sterility, harvest and threshing methods on seed quality in onion (Allium cepa L.). Ph. D. Thesis, University of Agricultural Sciences, Bangalore, KARNATAKA (INDIA).
- Saraswathi, K.M. (2000). Studies on male sterility of onion. M.Sc. Thesis, University of Agricultural Sciences, Division of Horticulture, Bangalore, KARNATAKA (INDIA).
- Vijaya Rani, Sharma, T.R. and Singh, Narendra (2002). Testing and evaluation of vegetable seed extractor for brinjal (Solanum melongena). Horticultural Science Haryana Agricultural University J. Res., 30: 1/2, 19-24.
- Waziri, A.N. and Mittal, J.P. (1983). Design related physical properties of selected agriculture products. Agric. Mechanization in Asia, Africa & Latin America, 14 (1): 59-62.
- Yalcin, I., Cetin, M. and Ozarslan, C. (2009). Physical properties of onion (Allium cepa L.) seed. Asian J. Chem., 21(2): 1341-1349.
- Practices and Awareness of the Paediatricians Regarding Syrups and Sugar Free Medicines in Chennai City
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Aim: 1. To assess Practices of the paediatricians regarding syrups and sugar free medicines in Chennai City. 2. To assess Awareness of the paediatricians regarding syrups and sugar free medicines in Chennai City.
Materials and Methods: The study consisted of 65 males and 45 females which totally comprised of 110 study subjects. The subjects were of age ranging between 28 and above 57 years old. The source of data was primary and was obtained through a questionnaire survey. The resulting data was coded and statistical analysis was done using SPSS (Statistical Package for Social Sciences) version 17.0 software, Chi-square test was applied to compare the percentages and the level of significance was set at 0.05.
Results: Though there was a difference in responses given by Paediatricians regarding their practices and awareness on syrups and sugar free medicines according to year of practices there was no marked difference noted between them.
Conclusion: In the present study, most paediatricians recognize that paediatric medicines can cause teeth problems, a high percentage are able to establish a relationship with the dental caries. Paediatric formulations without added sugar should be available to those responsible, and professionals could provide better and more intensive teaching on the proper oral hygiene care after use of these medicines.
Authors
K. Manikandan
1,
G. Sujatha
2,
R. Shanmuga Priya
3,
T. Srinivasa Prasad
4,
S. Satish Kumar
2,
Shaik M. Shamsudeen
5
Affiliations
1 Department of Public Health Dentistry, Sri Venkateswara Dental College & Hospital, Chennai, IN
2 Department of Oral Pathology, Sri Venkateswara Dental College & Hospital, Chennai, IN
3 Department of Periodontics, Sri Venkateswara Dental College & Hospital, Chennai, IN
4 Department of Oral & Maxillofacial Surgery, Meenakshi Ammal Dental College & Hospital, Chennai, IN
5 Department of Oral and Maxillofacial Pathology, Sri Venkateswara Dental College & Hospital, IN
1 Department of Public Health Dentistry, Sri Venkateswara Dental College & Hospital, Chennai, IN
2 Department of Oral Pathology, Sri Venkateswara Dental College & Hospital, Chennai, IN
3 Department of Periodontics, Sri Venkateswara Dental College & Hospital, Chennai, IN
4 Department of Oral & Maxillofacial Surgery, Meenakshi Ammal Dental College & Hospital, Chennai, IN
5 Department of Oral and Maxillofacial Pathology, Sri Venkateswara Dental College & Hospital, IN
Source
Journal of Pierre Fauchard Academy (India Section), Vol 31, No 2 (2017), Pagination: 109-114Abstract
Introduction: Paediatricians and paediatric health care professionals should develop the knowledge base to perform oral health risk assessments on all patients beginning at 6 months of age Dentist are not the only health professionals to see children at high risk for tooth decay. Paediatricians have a key role in helping young patients before tooth decay becomes a reality.Aim: 1. To assess Practices of the paediatricians regarding syrups and sugar free medicines in Chennai City. 2. To assess Awareness of the paediatricians regarding syrups and sugar free medicines in Chennai City.
Materials and Methods: The study consisted of 65 males and 45 females which totally comprised of 110 study subjects. The subjects were of age ranging between 28 and above 57 years old. The source of data was primary and was obtained through a questionnaire survey. The resulting data was coded and statistical analysis was done using SPSS (Statistical Package for Social Sciences) version 17.0 software, Chi-square test was applied to compare the percentages and the level of significance was set at 0.05.
Results: Though there was a difference in responses given by Paediatricians regarding their practices and awareness on syrups and sugar free medicines according to year of practices there was no marked difference noted between them.
Conclusion: In the present study, most paediatricians recognize that paediatric medicines can cause teeth problems, a high percentage are able to establish a relationship with the dental caries. Paediatric formulations without added sugar should be available to those responsible, and professionals could provide better and more intensive teaching on the proper oral hygiene care after use of these medicines.
Keywords
Paediatricians, Sugar Free, Dental Caries, Medicines.References
- David MK. Educating pediatricians on children's oral health: past, present, and future. Pediatrics. 2004;113:487–493.
- Rubin BK, Simunovic M. Medication caries: another form of ‘‘Snacking’’. J Can Family Phys. 1989;35:929–947.
- Johnston DI. Sugar free medicines – are you using them? Arch Dis Child. 1986;61:216–217.
- Hart A. Sweeteners in medications: a risk to healthy teeth. Can Med Assoc J. 1984;131:806–807.
- Sing S, Vijayakumar N, Priyadarshini HR, Shobha M. Prevalence of early childhood caries among 3–5 year old preschoolers in schools of Marathahalli, Bangalore. Dent Res J (Isfahan). 2012;9(November–December (6)):710–714.
- Shilpa Shree KB, Jyothi. Ramakrishna. Paediatricians perception about the use of medicated syrups and its relation to dental caries. J Indian Assoc Public Health Dent. 2010;16:8–12.
- Agrawal N, Shashikiran ND, Vanka A, Thakur R, Sandhu SS. Cariogenic potential of most commonly prescribed liquid oral medicines for children. People J Sci Res. 2010;3(2):7–10.
- Maguire A, Rugg-gunn AJ. Medicines in liquid and syrup form used long-term in paediatrics: a survey in the Northern region of England. Int J Paediatric Dent. 1994;4:93–99.
- de Menezes VA, Cavalcanti G, Mora C, Garcia AFG, Leal RB. Pediatric medicines and their relationship to dental caries. Braz J Pharm Sci. 2010;46:157–164.
- Bradley M, Kinirons M. A survey of factors influencing the prescribing of sugar-free medicines for children by a group of general medical practitioners in Northern Ireland. Int J Paediatric Dent. 1996;6:261–264.
- Mackie IC. Children's dental health and medicines that contain sugar. BMJ. 1995;15:141–142.
- Jain T, Grover K. Sweeteners in human nutrition. IJHSR. 2015;5(5):439–451.
- Bassiouny MA. Dental erosion due to abuse of illicit drugs and acidic carbonated beverages. Gen Dent. (March/ April):2013;(March/April):38–44.
- Decadal changes in land degradation status of India
Abstract Views :180 |
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Authors
K. Sreenivas
1,
G. Sujatha
1,
Tarik Mitran
1,
K. G. Janaki Rama Suresh
1,
T. Ravisankar
2,
P. V. N. Rao
3
Affiliations
1 Soil and Land Resources Assessment Division, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
2 Land Resources Use Mapping and Monitoring Group, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
3 Remote Sensing Applications Area, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
1 Soil and Land Resources Assessment Division, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
2 Land Resources Use Mapping and Monitoring Group, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
3 Remote Sensing Applications Area, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 121, No 4 (2021), Pagination: 539-550Abstract
Robust data on the spatial distribution of land degradation is important for resource conservation planning. Spatial land degradation status of India was mapped using multi-temporal Linear Imaging Self Scanning Sensor (LISS-III) data acquired from Resourcesat-1/2 during 2005–2006 and 2015–2016 under the Natural Resources Census programme of the Indian Space Research Organisation. Heads-up on-screen visual interpretation of multi-season satellite data was carried out, supported by digital elevation model and other historical maps available. Visual interpretation cues were developed and employed across various partner institutions to achieve consistency in mapping. The outputs were subjected to two-stage quality check. Results indicate that the total land degradation of India was 91.2 M ha (27.77% of the geographical extent of the country) during 2015–2016 against 91.3 M ha during 2005–2006. During the ten-year period, there was an overall decrease of around 0.1 M ha in degraded land. However, noticeable intra- and inter-class changes were observed in land degradation during the ten-year period. Major reclamation was noticed in sand dunes which were converted into crop lands by levelling them. Substantial decrease in severity and extent of salt-affected soils was noticed in Uttar Pradesh.Keywords
Change detection, land degradation, visual interpretation, sand dunes, soil erosion, spatial distribution.Full Text
References
- Bhattacharyya, R., Ghosh, B. N., Mishra, P. K., Mandal, B., Rao, C. S., Sarkar, D. and Franzluebbers, A. J., Soil degradation in India: challenges and potential solutions. Sustainability, 2015, 7(4), 3528–3570; https://doi.org/10.3390/su7043528.
- Navalgund, R. R., Indian Earth Observation Programme toward societal benefits: a GEOSS perspective. In GEOSS and NextGeneration Sensors and Missions, International Society for Optics and Photonics, 2006, vol. 6407, p. 640701; http://repository.ias.ac.in/89366/1/45P.pdf
- NRSC, Nationwide mapping of Land degradation using multitemporal satellite data. Project Manual. Soil and Land Resources Assessment Division, Earth Resources Group, RS & GIS application area, Department of Space, Govt of India, Balanagar, Hyderabad, 2007.
- Sujatha, G., Mitran, T., Tummala, K., Suresh, K. G. J. R., Fyzee, M. A., Sreenivas, K. and Ravisankar, T., A decision based approach to develop action plans for land degradation neutrality using geospatial techniques in a semi-arid region of India. J. Geomatics, 2019, 13(2), 188–194.
- Manchanda, M. L., Kudrat, M. and Tiwari, A. K., Soil survey and mapping using remote sensing. Tropical Ecol., 2002, 43(1), 61–74.
- Congalton, R., A Review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ., 1991, 37, 35–46; https://doi.org/10.1016/0034-4257(91)90048-B.
- Snedecor, G. W. and Cochran, W. G., Statistical methods 6th edition. The Iowa State University, 1967.
- Zhang, Z., Sheng, L., Yang, J., Chen, X. A., Kong, L. and Wagan, B., Effects of land use and slope gradient on soil erosion in a red soil hilly watershed of southern China. Sustainability, 2015, 7(10), 14309–14325; https://doi.org/10.3390/su71014309
- Singh, S., Kar, A., Joshi, D. C., Kumar, S. and Sharma, K. D., Desertification problem in western Rajasthan. Annals Arid Zone, 1994, 33, 191–191.
- Maji, A. K., Obi Reddy, G. P. and Sarkar, D., Acid soils of India – their extent and spatial distribution. NBSS Publication, 2012; http://krishi.icar.gov.in/jspui/handle/123456789/22308
- Matsuo, K., Ae, N., Vorachit, S. and Thadavon, S., Present soil chemical status and constraints for rice-based cropping systems in Vientiane plain and neighboring areas, Lao PDR. Plant Production Sci., 2015, 18(3), 314–322; 10.1626/pps.18.314.
- Mandal, A. K., Sharma, R. C. and Singh, G., Assessment of salt affected soils in India using GIS. Geocarto Int., 2009, 24(6), 437– 456; https://doi.org/10.1080/10106040902781002
- Bhalla, A., Singh, G., Kumar, S., Shahi, J. S. and Mehta, D., Elemental analysis of ground water from different regions of Punjab state (India) using EDXRF technique and the sources of water contamination. In Int. Conf. Environ. Computer Sci., 2011, vol. 19, pp. 156–164; http://ipcbee.com/vol19/31-ICECS2011R20009.pdf
- NRSC, Status of Land degradation in India: 2015–16 (ATLAS). National Remote Sensing Centre, ISRO, Govt of India, Hyderabad, 2019.
- NBSS and LUP, National Bureau of Soil Survey and Land Use Planning. Annual Report, NBSS&LUP, Nagpur, 2005.
- NBSS and LUP, Global Assessment of Soil Degradation (GLASOD) Guidelines. National Bureau of Soil Survey and Land Use Planning, Nagpur, 1994.
- MoA, Indian Agriculture in Brief. 25th edn; Directorate of Economics and Statistics, Ministry of Agriculture, Department of Agriculture and Cooperation, Government of India, New Delhi, 1994.
- NRSA, Waste Land Atlas of India. National Remote Sensing Centre, Government of India, Balanagar, Hyderabad, 2000.
- NWDB, Guidelines for Action. National Wasteland Development Board. Ministry of Environment and Forests, Government of India, New Delhi, 1985.
- Bhumbla, D. R. and Khare, A., Estimates of wastelands in India. Society for Promotion of Wastelands Development (SPWD), New Delhi, 1984.
- Vohra, B. B., A Policy for Land and Water; Department of Environment, Government of India, New Delhi, 1980, vol. 18, pp. 64–70.
- MoA, Indian Agriculture in Brief. 20th edn; Directorate of Economics and Statistics, Ministry of Agriculture, Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India, New Delhi, 1978.
- NCA, Report of the National Commission on Agriculture. National Commission of Agriculture, Government of India, New Delhi, India, 1976, pp. 427–472; https://indianculture.gov.in/nationalcommission-agriculture-1976
- Response by
Abstract Views :195 |
PDF Views:83
Authors
K. Sreenivas
1,
G. Sujatha
1,
Tarik Mitran
1,
K. G. Janaki Rama Suresh
1,
T. Ravisankar
2,
P. V. N. Rao
3
Affiliations
1 Soil and Land Resources Assessment Division, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
2 Land Resources Use Mapping and Monitoring Group, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
3 Remote Sensing Applications Area, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
1 Soil and Land Resources Assessment Division, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
2 Land Resources Use Mapping and Monitoring Group, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
3 Remote Sensing Applications Area, National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 121, No 12 (2021), Pagination: 1523-1523Abstract
No Abstract.Keywords
No Keywords.Full Text
- A Novel Approach to Identify the Promotion of Sales in Supermarkets using Machine Learning Algorithms
Abstract Views :166 |
PDF Views:0
Authors
G. Sujatha
1,
R. Sangeetha
2
Affiliations
1 PG and Research Department of Computer Science, Sri Meenakshi Government Arts College for Women (A), Madurai, Tamil Nadu, IN
2 Department of Computer Science, Lady Doak College, Madurai, Tamil Nadu, IN
1 PG and Research Department of Computer Science, Sri Meenakshi Government Arts College for Women (A), Madurai, Tamil Nadu, IN
2 Department of Computer Science, Lady Doak College, Madurai, Tamil Nadu, IN
Source
International Journal of Business Analytics and Intelligence, Vol 9, No 1&2 (2021), Pagination: 41-46Abstract
Prediction of sales promotion is a significant method to attract customers and enable retailers in successful planning and forecasting. The core objectives of this paper are to introduce a novel interpretable machine language algorithm to enhance the sales in supermarkets based on the buying behaviour of the customers, and to find the factor of sensitivity that stimulates, satisfies, and builds loyalty among the customers. Decision tree, gradient boosted trees, and support vector machine learning algorithms will be mainly used to compare the accuracy level and to analyse the promotion of sales in supermarkets based on the buying behaviour of customers, and also to find factors influencing customer retention.Keywords
Supermarket, Sales Promotion, Customers, Decision Tree, Gradient Boosted Tree, Support Vector.References
- Bajaj, P., Ray, R., Shedge, S., Vidhate, S., & Shardoor, N. (2020). Sales prediction using machine learning algorithms. International Research Journal of Engineering and Technology (IRJET), 7(6), 3619-3625.
- Carreira-Perpinan, M. A. (2016, November 28). Merced, Introduction to Machine Learning. EECS, University of California.
- Odegua, R. (2020, January). Applied machine learning for supermarket sales prediction.
- Paták, M., Branská, L., & Pecinova, Z. (2015, August). Demand forecasting in retail grocery stores in the Czech Republic. 2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015.
- Ramesh, K., Mathew, J. J., & Hemalatha, N. (2017). Machine learning approach for the predictive analysis of sales in grocery store. International Journal of Latest Trends in Engineering and Technology, Special Issue, 95-98. e-ISSN: 2278-621X.
- Ray, S. (2017, September 13). Understanding support vector, machine (SVM) algorithm from examples (along with code).
- Singh, M. (2017). Walmart’s sales data analysis – A big data analytics perspective. 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE).
- Tarallo, E., Akabane, G. K., Shimabukuro, C. I., Mello, J., & Amancio, D. (2019). Machine learning in predicting demand for fast-moving consumer goods: An exploratory research. IFAC-PapersOnLine, 52(13), 737-742.
- Tarallo, E. A., Akabane, G., Shimabukuro, C. I., Mello, J., & Amancio, D. (2019, August). Machine learning in predicting demand for fast-moving consumer goods: An exploratory research. Elsevier, 9th IFAC Conference on Manufacturing Modeling, Management and Control MIM 2019, Berlin, Germany.
- Tsoumakas, G. (2018, June 14). A survey of machine learning techniques for food sales prediction. Artificial Intelligence Review, 52(1), 441-447. Retrieved from https://doi.org/10.1007/s10462-018-9637-z
- Zuo, Y., Yada, K., & Shawkat Ali, A. B. M. (2016, December). Prediction of consumer purchasing in a grocery store using machine learning techniques. IEEE, 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE).