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Dey, Tapan
- Glutathione S-Transferase Gene Polymorphism and Lung Cancer in Indian Population:A Meta-Analysis of Case-Control Studies
Abstract Views :196 |
PDF Views:88
Authors
Tapan Dey
1,
Prachurjya Dutta
1,
Jatin Kalita
1,
Hari Prasanna Deka Boruah
1,
Manoj Kalita
2,
Balagopalan Unni
3
Affiliations
1 Biotechnology Division, CSIR-North East Institute of Science and Technology, Jorhat 785 006, IN
2 Population-based Cancer Registry Department, Dr B. Borooah Cancer Institute (Regional Institute for Treatment and Research), Gopinath Nagar, Guwahati 781 016, IN
3 Biological Sciences, Assam Downtown University, Guwahati 781 026, IN
1 Biotechnology Division, CSIR-North East Institute of Science and Technology, Jorhat 785 006, IN
2 Population-based Cancer Registry Department, Dr B. Borooah Cancer Institute (Regional Institute for Treatment and Research), Gopinath Nagar, Guwahati 781 016, IN
3 Biological Sciences, Assam Downtown University, Guwahati 781 026, IN
Source
Current Science, Vol 109, No 3 (2015), Pagination: 536-540Abstract
Among the respiratory diseases, lung cancer is one the most critical in terms of mortality. In India, more than half a million people die every year because of lung cancer. Tobacco smoke along with polymorphism of glutathione S-transferase gene is considered to be one of the most important factors for lung cancer. Here a review has been carried out to find the association of gene polymorphism and lung cancer, especially in the Indian population. This article deals with reviews on the effect of GSTT1 and GSTM1 polymorphism on lung cancer specifically from case-control studies of the Indian population. In the overall population, from the pooled odds ratio, a significant association of GSTM1 (null versus present) was found with lung cancer, whereas the association of GSTT1 (null versus present) genotype was found to be statistically insignificant. From the null test (two-tailed), GSTM1 (null versus present genotype; P value = 0.035, I2 = 40.58%) was found to be significantly associated with lung cancer. Begg's funnel plot analysis showed no publication bias for both gene polymorphisms. Thus this review shows that GSTM1 polymorphism is a significant risk factor for lung cancer in the Indian population.Keywords
Gene Polymorphism, Glutathione S-Transferase, Lung Cancer, Meta-Analysis.- Stope Boundary Optimization for an Underground Copper Deposit Using Mixed Integer Linear Programming Based Algorithm
Abstract Views :87 |
PDF Views:0
Authors
Affiliations
1 PhD Scholar,Indian Institute of Engineering Science & Technology, Shibpur, Howrah,, IN
2 M.Tech, Indian Institute of Technology Bombay, Mumbai, IN
3 Professor, Department of Mining Engineering, Indian Institute of Technology, Kharagpur,, IN
1 PhD Scholar,Indian Institute of Engineering Science & Technology, Shibpur, Howrah,, IN
2 M.Tech, Indian Institute of Technology Bombay, Mumbai, IN
3 Professor, Department of Mining Engineering, Indian Institute of Technology, Kharagpur,, IN
Source
Journal of Mines, Metals and Fuels, Vol 69, No 3 (2021), Pagination: 73-80Abstract
Optimal ore body boundary and production area geometry (Stope) are essential to maximize the profit from an underground mining project subject to inherent physical, geotechnical and geological constraints. Number of researches have been introduced for stope boundary optimization but true optimal solution in three dimensional spaces is still out of reach. This article proposed a computer programming based optimization model using mixed integer linear programming based algorithm that incorporate stope boundary optimization with varying cost of mining and selling price of the metal. An actual ore body model was taken as case study to implement the algorithm in real mining scenario. In validation study, it is observed that, by using proposed model, the profit can be increased by 10% - 15% as compared to the present stoping practice. Simulating the optimal stope boundary by changing the various cost and price parameters helps to opt the best possible option for a given mining scenario to make most realistic plan.Keywords
Stope, boundary, modelling, algorithm, ore body.References
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