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Mishra, Gaurav
- Prevalence of Leukoplakia in Patients Visiting Dental College in Rural Area of Jaipur, Rajasthan
Abstract Views :548 |
PDF Views:0
Authors
Rohit Sharma
1,
Praful Narang
2,
Amit Kumar Sharma
3,
Gaurav Mishra
4,
Vijay Agrawal
5,
Shweta Jain
6
Affiliations
1 Department of Oral Medicine & Radiology, IN
2 Department of Prosthodontics, NIMS Dental College, IN
3 Department of Oral Surgery, Jaipur Dental College, IN
4 Department of Community Dentistry, IN
5 Department of Orthodontics, IN
6 Department of Conservative Dentistry, NIMS Dental College, IN
1 Department of Oral Medicine & Radiology, IN
2 Department of Prosthodontics, NIMS Dental College, IN
3 Department of Oral Surgery, Jaipur Dental College, IN
4 Department of Community Dentistry, IN
5 Department of Orthodontics, IN
6 Department of Conservative Dentistry, NIMS Dental College, IN
Source
Indian Journal of Public Health Research & Development, Vol 5, No 3 (2014), Pagination: 292-295Abstract
Objectives: The study was conducted to assess the prevalence of leukoplakia among patients of age 15 years and above visiting Dental College in rural area of Jaipur, Rajasthan.
Material&Method: A cross-sectional study was conducted to access the prevalence of leukoplakia among 6800 out patients at NIMS Dental College, Jaipur, Rajasthan. Subjects were interviewed using a structured proforma. The clinical diagnosis of leukoplakia was made when patient showed documented clinical features of leukoplakia. The statistical analysis was done with SPSS software version 11.5.
Results: The prevalence of leukoplakia in the study population was 145 (2.13%). Majority of subjects were males 130 (89.65%). The prevalence of leukoplakia was highest in 45-54 years of age group 71 (1.04%).
Conclusion: Prevalence of leukoplakia was 2.13% and was high amongst older age group. Gender comparison showed higher male dominance and majority of subjects were bidi smokers.
Keywords
Prevalence, Leukoplakia, Smoking, Tobacco
- Agrobio-Cultural Diversity of Alder Based Shifting Cultivation Practiced by Angami Tribes in Khonoma Village, Kohima, Nagaland
Abstract Views :263 |
PDF Views:80
Authors
Affiliations
1 Rain Forest Research Institute, Jorhat - 785 001, IN
1 Rain Forest Research Institute, Jorhat - 785 001, IN
Source
Current Science, Vol 115, No 4 (2018), Pagination: 598-599Abstract
North East India is one of the culturally diverse regions in the world inhabited by more than 200 tribes in eight states. Also, the region is one of the biodiversity hot spots of the world. The region is endowed with rich floral, faunal and sociocultural diversity. These tribes have originated from the ethnic groups of Tibeto-Burmese and Indo-Mongoloids1. The tribal communities of this region live in hilly areas and depend on forest resources for their livelihood. Shifting cultivation is the major agricultural land use system in undulating hilly terrains of this region.Full Text
References
- https://www.quora.com/in/How-many-tribes-are-there-in-Northeast-India (retrieved on 30 April 2018 at 09.06 am).
- Talukdar, N. C. and Thakuria, D., ENVIS Newsletter on Himalayan Ecology. 2015, 12(4), 5.
- Rathore, S. S., Karunakaran, K. and Prakash, B., Ind. J. Trad. Know., 2010, 9(4), 677–680.
- http://northeasttourism.gov.in/khonoma.html#sthash.cFZTYDjL.dpbs (retrieved on 30 April 2018 at 09.10 am).
- Modelling Soil Cation Exchange Capacity in Different Land-Use Systems using Artificial Neural Networks and Multiple Regression Analysis
Abstract Views :215 |
PDF Views:77
Authors
Affiliations
1 Rain Forest Research Institute, Jorhat - 785 001, IN
2 Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, SA
1 Rain Forest Research Institute, Jorhat - 785 001, IN
2 Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, SA
Source
Current Science, Vol 116, No 12 (2019), Pagination: 2020-2027Abstract
Cation exchange capacity (CEC), as an important indicator of soil quality, represents the ability of the soil to hold positively charged ions. In this study, CEC was successfully predicted using different statistical methods, including artificial neural networks (ANNs) involving multi-layer perceptron (MLP), radial basis function (RBF), multiple linear regression (MLR) and nonlinear regression (NLR). About 293 soil samples were collected from North East India, which are under three land uses (shifting agriculture (jhum), forest and cash crops). Also, 70% of the samples (205 samples) was selected as the calibration set and the remaining 30% (88 samples) used as the prediction set. Soil pH, texture, bulk density (BD) and organic carbon (OC) were used as predictor variables to estimate CEC. The CEC-pedotransfer function (CECPTF) performance was evaluated with the coefficient of determination (R2), ischolar_main mean square error (RMSE) and standard error for the estimate (SEE) between the observed and predicted values. The results indicated that the nonlinear model (R2 = 0.91 and SEE = 1.82 for training) for cash-crop system, and RBF (R2 = 0.91 and SEE = 3.83 for training) for jhum system were the best models to estimate CEC. In contrast, RBF (R2 = 0.67 and SEE = 14.87 for training) for forest system was the worst model to estimate CEC. The results confirm that clay and OC were the most influential variables to predict CEC in the cashcrop system, whereas BD and OC were more suitable for jhum system. Although the ANNs provided suitable predictions of the entire dataset, NLR gave a formula to estimate soil CEC using commonly tested soil properties. Thus, NLR provided a reasonable estimate of CEC for most soils analysed.Keywords
Artificial Neural Networks, Cation Exchange Capacity, Multiple Regression, Land Uses.Full Text
References
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- Carbon Stock Assessment in Changing Land Uses of Mon, Nagaland: An Important Learning for Climate Change Mitigation from North East India
Abstract Views :236 |
PDF Views:88
Authors
Affiliations
1 Rain Forest Research Institute, Jorhat - 785 001, IN
1 Rain Forest Research Institute, Jorhat - 785 001, IN
Source
Current Science, Vol 116, No 2 (2019), Pagination: 174-175Abstract
No Abstract.Keywords
No Keywords.Full Text
References
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- Horizontal and Vertical Profiling of Soil Organic Carbon Stock in Nagaland, North East India
Abstract Views :246 |
PDF Views:72
Authors
Affiliations
1 Division of Silviculture and Forest Management, Rain Forest Research Institute, Jorhat 785 001, IN
2 National Institute of Technology, Rourkela 769 008, IN
1 Division of Silviculture and Forest Management, Rain Forest Research Institute, Jorhat 785 001, IN
2 National Institute of Technology, Rourkela 769 008, IN
Source
Current Science, Vol 119, No 4 (2020), Pagination: 632-640Abstract
The present study aims to analyse the horizontal and vertical profiles of soil organic carbon (SOC) for understanding carbon storage in the soils of Nagaland, North East India. Seventy soil profiles were excavated at different locations and samples were collected from different depths. The uniformly distributed sampling locations were selected to generate horizontal profiles of SOC and carbon stock for five different layers (0–5, 5–15, 15–30, 30–60 and 60–100 cm) using interpolation technique. The horizontal profile of SOC indicated that carbon stock ranged from 3.74 to 60.93, 6.94 to 213.84, 9.19 to 276.09, 14.97 to 441.82 and 7.19 to 366.17 t C/ha, for 0–5, 5–15, 15–30, 30–60 and 60– 100 cm soil depth respectively. The vertical profile of SOC was modelled using the exponential distribution function. The vertical profile indicated that SOC(%) decreased with increasing depth in the region. The spatial mean value of SOC was also found to decrease with soil depth, with maximum value of 25.66 g/kg at 0–5 cm depth to minimum of 8.82 g/kg at 60–100 cm depth. Furthermore, the vertical profiles for different land-use types indicated that SOC levels decreased at a lesser rate in tea garden (TG) soils in comparison to other land uses. The spatial distribution indicated that SOC levels were higher in the high-altitude areas of Nagaland. We used inverse distance weighted method to generate maps for spatial distribution of SOC stocks, which can be further used for soil carbon assessment and inventorization.Keywords
Digital Soil Mapping, Horizontal and Vertical Profiles, Land-use Types, Soil Organic Carbon, Spatial Distribution.Full Text
- Effect of plant growth promoting rhizobacteria and Organixxgro on tissue-cultured bamboo plantlets under nursery conditions
Abstract Views :175 |
PDF Views:79
Authors
Krishna Giri
1,
Satyam Bordoloi
1,
Gaurav Mishra
1,
R. S. C. Jayaraj
1,
Navajyoti Bora
1,
Rupjyoti C. Baruah
1,
Bondita Borah
1,
Samiran Kakoti
1
Affiliations
1 Rain Forest Research Institute, Jorhat 785 001, IN
1 Rain Forest Research Institute, Jorhat 785 001, IN
Source
Current Science, Vol 121, No 5 (2021), Pagination: 615-617Abstract
No Abstract.Full Text
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- Understanding the Impact of Climatological Shifts on Forest-fire Frequency and Intensity in Simlipal Biosphere Reserve, Odisha, India
Abstract Views :187 |
PDF Views:77
Authors
Affiliations
1 Rain Forest Research Institute, Jorhat 785 010, IN
1 Rain Forest Research Institute, Jorhat 785 010, IN
Source
Current Science, Vol 121, No 10 (2021), Pagination: 1278-1279Abstract
No Abstarct.Keywords
No Keywords.Full Text
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- Can pandemics like COVID-19 be linked to forest degradation and biodiversity loss?
Abstract Views :225 |
PDF Views:79
Authors
Affiliations
1 Rain Forest Research Institute, Jorhat 785 001, IN
1 Rain Forest Research Institute, Jorhat 785 001, IN
Source
Current Science, Vol 122, No 5 (2022), Pagination: 511-511Abstract
No Abstract.Keywords
No keywordsFull Text
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