Informatics Publishing Limited

R. P. Purohit ¹, S. N. Mishra ²

Affiliations
1 Medical College, Jodhpur, IN
2 Medical College, Bikaner, IN

Abstract

No Abstract.

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S. Shenga ¹, A. Jha ¹, S. N. Mishra ¹

Affiliations
1 Sikkim Manipal University, Sikkim, IN

Abstract

What is 'eco' or 'ecological?'

The German Ernst Haeckel (1834-1919) coined the word 'ecology' in 1866 which related to what Darwin in 'Origin of Species' had called 'the economy of nature'. Haeckel wrote: "By 'ecology' we mean the body of knowledge concerning the economy of nature - the investigation of the total relations of the animal both to its inorganic and its organic environment; including above all, its friendly and inimical relations with those animals and plants with which comes directly and indirectly into contact - in a word, ecology is the study of all those complex interrelations referred to by Darwin as the conditions of struggle for existence. This science of ecology, often inaccurately referred to as 'biology' in a narrow sense, has thus far formed the principal component of what is commonly referred to as 'Natural History'. "(Foster, 2001) Man started as a savage animal and climbed the ladder of civilization slowly and steadily and is still evolving in his philosophical quest for perfection and peace in body and mind.

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Sudhanshu Shekhar Bisoyi ¹, Pragnyaban Mishra ¹, S. N. Mishra ¹

Affiliations
1 Department of Computer Science and Engineering Science and Engineering, GIET Gunupur, Gunupur – 765022, Odisha, IN

Abstract

Objectives: File structure and storage becomes a challenging issue while processing huge amount of data in parallel and distributed environment. To increase processing capabilities an appropriate file structure must be implemented. Methods/Statistical Analysis: In our approach we have imported the data from the available relational databases like Oracle or MySql to Hive using Sqoop and analyzed the query processing based upon different file storage formats. We have focused on the Parquet, Sequence, RC file and ORC file format for query analysis in MapReduce framework on top of Hadoop. Findings: Understanding dynamic behavior of user buying habits in different web services and product recommendation using social media, e-marketing etc. the MapReduce based data warehousing system plays vital role to perform the Big Data analytic in a parallel and distributed environment. In such type of analysis the data structure used to store the data for parallel query processing effect the performance of Big Data warehouse system. During the analysis of huge amount of relational data in a parallel and distributed system few issues should be taken care to increase the query performance and optimization. These are 1. Faster loading of huge amount of relational data into the Big Data warehouse. 2. Optimized file format to efficiently manage the storage system. 3. Faster query processing by increasing the throughput. Our findings explained appropriate file formats to store the huge amount of relational data in the Big Data warehouse system based upon HDFS and MapReduce framework known as Hive and evaluated the performance of query processing in multi node Hadoop cluster. Application/Improvements: The cost of parallel query processing has been reduced as well as distributed storage efficiency increased by choosing appropriate file structure in Big Data warehouse systems.

Keywords

Big Data, HDFS, Hive, Hadoop, MapReduce, ORC File, Sqoop.

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A. S. Jatav ¹, S. S. Kushwah ¹, S. N. Mishra ¹, I. S. Naruka ¹

Affiliations
1 College of Horticulture (Campus of RVSKVV), Mandsaur (M.P.), IN

Abstract

A field investigation was carried out at vegetable research field, College of Horticulture, Mandsaur during Rabi season 2010-11. The soil of the experimental field was light alluvial with sandy loam texture and uniform topography. Sixteen treatment combinations of four varieties (V₁-Kufri Jyoti, V₂-Kufri Chipsona-2, V₃-Kufri Chipsona-1 and V₄-Kufri Pushkar) and four nitrogen doses (N₁-100 kg/ha, N₂-125 kg/ha, N₃-150 kg/ha and N₄-175 kg/ha) were replicated thrice in FactorialRandomized BlockDesign. The findings of the experiment revealed that among the varieties, Kufri Pushkar recorded maximum leaf area per plant, chlorophyll content in leaves, dry weight of shoot, ischolar_main and tuber. Maximum ‘A’ grade tuber yield was found with variety Kufri Jyoti followed by Kufri Pushkar. ‘B’ grade tuber yield was found maximum in case of variety Kufri Pushkar followed by Kufri Chipsona-1 and Kufri Jyoti. Analysis of plant after harvesting revealed significant influence of varieties on nitrogen, phosphorus and potassium content in plant. Maximum nitrogen and phosphorus content in plant was recorded with variety Kufri Pushkar. Potassium content in plant showed highest values with variety Kufri Jyoti. Analysis of soil after harvesting recorded significant influence of varieties on available NPK in soil. Highest available nitrogen, phosphorus and potassium were recorded with Kufri Chipsona-2. Nitrogen application enhanced the leaf area and chlorophyll content. Dry weight of shoot, ischolar_main and tuber was recorded significant influence of nitrogen levels at all the stages. Highest dry weight of shoot, ischolar_main and tuber was found with application of 150 kg N/ ha. Nitrogen application had significant effect on grade wise tuber yield. There was increase in ‘A’ grade tuber yield with increasing levels of nitrogen upto 150 kg/ha. Application of nitrogen showed increase in nitrogen, phosphorus and potassium content upto 150 kg/ha. It also caused increase in available nitrogen and decrease in available phosphorus and potassium in soil. Combined effect of varieties and nitrogen recorded significant effect on chlorophyll content in leaves at 60 DAP. Highest chlorophyll content was found with V4N3. Dry weight of shoot, ischolar_main and tuber showed significant interaction effect of varieties and nitrogen levels at 90 DAP. Highest fresh weight of tuber and ‘A’ grade tuber yield was found under V₄N₃. There was significant effect of varieties and nitrogen levels interaction on nitrogen and phosphorus content in plant and available potassium in soil after harvesting.

Keywords

Potato, Varieties, Nitrogen, Chlorophyll, Grade Wise Tuber, Nutrient, Plant, Soil.

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S. N. Mishra ¹

Affiliations
1 School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, IN

Abstract

India took a definitive step towards market reforms in 1991 by dismantling the License-Permit Quota (LPQ) Raj. This brought in significant spurt in Gross Domestic Product (GDP) growth rates, exports, Foreign Exchange (FE) reserves and reduced percentage people Below Poverty Line (BPL) considerably. However, the human development story, in terms of Infant Mortality Rate (IMR), Maternal Mortality Rate (MMR), malnutrition of children, mean year of schooling have been quite dismal. The picture on containing income inequality is also quite disappointing in the urban segment as it shows an upward trajectory. The paper makes a strong case for opting for balanced growth where right priority is accorded to merit goods like quality primary education and health as public remit. A balanced growth strategy between economic infrastructure and social overheads would be the right cocktail for India’s policy makers. The recommendations include introducing General Anti-Avoidance Rule (GAAR) at the earliest to pre-empt illegal parking of funds in tax havens, privatisation of Public Sector Banks (PSB) to promote better financial intermediation. It also supports strongly the case for introducing a Universal Basic Income (UBI) scheme, in lieu of plethora of subsidies to guarantee a minimum standard of living for every Indian citizen. It draws comparison with China, whose growth and development story have walked hand, in hand after liberalization in the 1980s.

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