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This study aims to provide an accurate and realistic prediction model for electricity demand using population, imports, exports, per capita Gross Domestic Product (GDP) and per capita Gross National Income (GNI) data for India. Four different models were used for different combinations of the above five input variables and the effect of input variables on the estimation of electricity demand has been demonstrated. In order to train the network 29 years data and to test the network 9 years data have been used. The future electricity demand for a period of 8 years from 2013 to 2020 has been predicted. The performance of the ANFIS technique is proved to be better than Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN). [ABSTRACT FROM AUTHOR]

Abstract: Coastal zones are dynamic areas that are constantly undergoing change in response to a multitude of factors including sea level rise, wave and current patterns, hurricanes and human influences. On 26th December 2004, huge waves smashed across the shore between Kanyakumari and Ovari. As they crossed the beach, the waves up to 30 feet tall. Many people are dead due to crush and pull to sea and drowned as the mighty waves withdraw. Many villages have been obliterated, the death tale could exceed 300 but the damage to the property is very high. The size of the tsunami is related to the area that moves on the ocean bottom and how far it moves. This region is manifested with marine terrace, sand dunes, beach ridges, estuaries, floodplains, beaches, mangroves, peneplains, uplands, sea cliff, etc. We have attempted the shoreline dynamics using beach profile survey, and coastal environment changes through online survey, governmental, records and coastal geomorphological studies using remote sensing technique. The major destructions are identified in this paper. [Copyright &y& Elsevier]

Efficacy and safety data on quadrivalent influenza vaccines (QIVs) for immunization of Indian children are scarce. This phase 3, registration study evaluated the immunogenicity, safety, and tolerability of a QIV in Indian children aged 6-35 months (Group 1) and 3-17 y (Group 2). Subjects received one or two doses (0.5 mL each) of the study vaccine based on their priming status. Immunogenicity (post-vaccination geometric mean fold increase in hemagglutination inhibition [HI] titers and proportion of patients with seroprotection and seroconversion against the four influenza strains), unsolicited adverse events (AEs), and tolerability were analyzed. Among 118 subjects enrolled in each group, the geometric mean(standard deviation) fold increase in HI titers against A(H3N2), A(H1N1), B(Victoria), and B(Yamagata) strains were 31.7(5.33), 10.5(6.06), 4.1(5.70), and 8.6(5.34) in Group 1 and 14.0(4.37), 9.2(4.26), 14.3(6.73), and 14.4(5.41) in Group 2, respectively. Seroprotection was achieved by 91.2%, 83.3%, 41.2%, and 68.4% subjects in Group 1 and 100%, 95.8%, 73.7%, and 89.8% subjects in Group 2, respectively. Seroconversion was achieved by 87.7%, 66.7%, 41.2%, and 64.9% subjects in Group 1 and 89.0%, 78.8%, 69.5%, and 75.4% subjects in Group 2, respectively. Vaccination site pain and fever were the most common local and systemic reactions, respectively. Systemic reactions were more frequent in Group 1 (16.9% vs 7.6%). Most subjects (>90%) did not experience inconvenience within 7 d of vaccination; <10% in both groups reported unsolicited AEs. Thus, the QIV had a positive benefit/risk profile in Indian children/adolescents aged 6 months to 17 y. CTRI Registry No : CTRI/2018/05/014191 Registry Name : Clinical Trials Registry - India Date of Trial Registration : May 29, 2018 Study Dates : August 03, 2018 (first subject first visit) to January 31, 2019 (last subject last visit)Drugs Controller General of India [DCGI] permission letter number: CT-03/2018.