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Sailaja, B.
- Evaluation of Ruellia tuberosa L. for Antiurolithiatic and Antioxidant Activities in Rats
Abstract Views :160 |
PDF Views:79
Authors
Affiliations
1 Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), TIRUPATI-517 502, IN
1 Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), TIRUPATI-517 502, IN
Source
Journal of Pharmaceutical Research, Vol 9, No 2 (2010), Pagination: 70-75Abstract
The ischolar_mains of Ruellia tuberosa L. are recommended for kidney stone disorders in the Indian traditional system of medicine. Ethanolic extract of R. tuberosa ischolar_mains was evaluated for antiurolithiatic activity against 0.75% v/v ethylene glycol and 2% w/v ammonium chloride induced calcium oxalate urolithiasis and for antioxidant activity against hyperoxaluria induced oxidative stress in male albino rats. Ethylene glycol and ammonium chloride administration increased the deposition of calcium and oxalate in the kidneys, urinary excretion of calcium, oxalate and creatinine in the preventive and curative control rats. In these groups, increased levels of malondialdehyde and depleted levels of antioxidant enzymes, reduced glutathione and catalase were observed. On treatment with the extract, a significant reduction in the deposition of calcium, oxalate and also urinary excretion of calcium, oxalate and creatinine was observed, indicating its antiurolithiatic effect. The extract administration also decreased the extent of lipid peroxidation and enhanced the levels of antioxidant enzymes in the kidneys of urolithic rats, reflecting its antioxidant efficacy against hyperoxaluria induced renal oxidative stress. Results of the present study support the traditional claim of R. tuberosa ischolar_mains in treating renal calculi.Keywords
Ruellia tuberosa, Calcium Oxalate Urolithiasis, Ethylene Glycol/Ammonium Chloride, Oxidative Stress, Antiurolithiatic and Antioxidant Activities.- Innovative Teaching and Learning Process with Multidisciplinary Approach: an Illustration on Engineering Education
Abstract Views :155 |
PDF Views:1
Authors
B. Sailaja
1,
K. Hemalatha
1
Affiliations
1 ComputerScience&Engineering, VJIT, Hyderabad, Telangana, IN
1 ComputerScience&Engineering, VJIT, Hyderabad, Telangana, IN
Source
Journal of Engineering Education Transformations, Vol 29, No Spl Iss (2016), Pagination:Abstract
Education is the most powerful weapon to change the world. The education in engineering begins with theories and progressing to the application of learnt theories. Different methods exist in engineering teaching and learning process. Teaching can be done in many ways - Generally by giving lectures, demonstrations and deliberations. These ways focuses on principle content, emphasizing memory, applications, and understanding the subject. Learning by a student happens in many ways- by seeing and hearing, reflecting and acting, memorizing and visualizing and drawing analogies and building mathematical models. This paper mainly emphasis on innovative methods of teaching and learning process with multidisciplinary approaches to increase the standards of the engineering education and an illustration on engineering education.Keywords
Multidisciplinary, Innovation, Illustration, Instructors, Engineering Education, Knowledge, Current Techniques, Modern Tools.- Cyber Extension for Better Nutritional Security:Some Developments and Perspectives
Abstract Views :294 |
PDF Views:0
Authors
R. Nagarjuna Kumar
1,
C. A. Rama Rao
1,
B. M. K. Raju
1,
K. Sreedevi Shankar
1,
G. Nirmala
1,
K. Ravi Shankar
1,
K. Sammi Reddy
1,
B. Sailaja
2
Affiliations
1 Central Research Institute for Dryland Agriculture (CRIDA), Santosh Nagar, Hyderabad (Telangana), IN
2 Indian Institute of Rice Research (IIRR), Rajendra Nagar, Hyderabad (Telangana), IN
1 Central Research Institute for Dryland Agriculture (CRIDA), Santosh Nagar, Hyderabad (Telangana), IN
2 Indian Institute of Rice Research (IIRR), Rajendra Nagar, Hyderabad (Telangana), IN
Source
Agriculture Update, Vol 12, No 4 (2017), Pagination: 696-705Abstract
India registered remarkable economic growth during the first decade of this millennium. Ironically, during this period, a vast section of population remained undernourished. The annual economic losses associated with malnutrition have been estimated at 3 per cent of India’s gross domestic product (GDP). Experience shown that increasing food production alone cannot address the issue of malnutrition, unless there is a nutrition focus and the poorest have access to a source of diversified and nutritious foods. Knowledge and information are important factors to ensure food and nutrition security. The problem of malnutrition can be better addressed through a innovative ICT led extension systems. Rapid advances in data acquisition and management, modeling, computation power, and information technology provide the opportunity to harness this knowledge in new and powerful ways to achieve more productive and sustainable agricultural systems. Examples of this technology include mobile phones, social media, tablets, internet, email, global positioning systems (GPS) etc. In this paper we employ the use cases and our collective experiences with agricultural systems and Information and communication technology (ICT) to describe about data and knowledge products need to improve food security and better nutrition.Keywords
Nutrition Security, Mobile Phones, GPS, Knowledge.References
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- Spatial Rice Decision Support System for Effective Rice Crop Management
Abstract Views :253 |
PDF Views:84
Authors
B. Sailaja
1,
S. R. Voleti
1,
D. Subrahmanyam
1,
P. Raghuveer Rao
1,
S. Gayatri
1,
R. Nagarjuna Kumar
2,
Shaik N. Meera
1
Affiliations
1 Indian Institute of Rice Research, Rajendranagar, Hyderabad - 500 030, IN
2 Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad - 500 059, IN
1 Indian Institute of Rice Research, Rajendranagar, Hyderabad - 500 030, IN
2 Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad - 500 059, IN
Source
Current Science, Vol 116, No 3 (2019), Pagination: 412-421Abstract
Rice, a widely grown crop all over the world provides food security to millions of people. The average productivity of rice in India is still low due to diversified environments under which it is being cultivated. Prediction and assessment of rice yields needs simplified precision models. A spatial rice decision support system (SRDSS) was designed by integrating ClimGen climate model and Oryza2000 crop model with soil and weather layers. This DSS facilitates input model parameters and geo-referenced maps to predict rice yield at polygon/pixel level. SRDSS is useful to researchers and planners not only in estimating rice yield but also to estimate optimum crop sowing dates and management practices to achieve target yield for the selected location. Further, SRDSS will be integrated with weather sensors to generate real time advisories to farmers at each level of decision making and to plan and achieve the targets of doubling the farmer’s income by 2022.Keywords
ARCGIS, ClimGen, Oryza2000, Rice Yield, SRDSS.References
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