Factors Influencing the Usage of ICT in Secondary Schools: A Case Study in Telangana State of India

Results are reported from a study in which teachers’ views on usage and impact of information and communication technology in secondary schools, were compared between private and government schools and between the state board (SSC) syllabus and CBSE board syllabus. The main purpose of the study was to answer the following questions: Firstly, How socio economic parameters can impact the ICT usage, Secondly, What differential role does ownership (Public/Private) of the management has an impact on the usage of ICT and Thirdly, How the board of education can have an impact on the usage of ICT in secondary schools? The key finding the study are as follows First, Gender, age group has no impact on ICT usage, Secondly, the ownership of management i.e Government schools Vs private schools has no impact on the usage of ICT in secondary schools, Thirdly,  it’s been observed that there is a significant impact of board of education , i.e State board Vs CBSE board on the usage of ICT in secondary schools Keywords: Gender, age, income, StateSecondary Certificate (SSC), Central Boardfor Secondary Education(CBSE), ICT, government, privat

COST BENEFIT ANALYSIS OF A DG INTEGRATED SYSTEM: CASE STUDY

Distributed Generation is capable of meeting the load of the consumers partially or completely. Depending on the type of DG involved it can be operated in interconnected mode and islanded mode. The availability of numerous alternatives present for the DG technologies and large initial investments necessitates a detailed cost benefit analysis for the implementation of DG technologies. In this work an attempt has been made to study the costs involved in implementing the DG technologies. A practical system having two kinds of distributed generation i.e., Diesel Generator and solar photovoltaic system for its back up purpose is considered. A detailed cost analysis of the two DG technologies is carried out

Observations on Livestock Productivity in Sheep Fed Exclusively on Haulms from Ten Different Genotypes of Groundnut

Haulms from 10 different genotypes of groundnut were tested with growing male sheep for digestibility, intake, nitrogen retention and live weight gains. Very high daily intake levels of > 4% of sheep bodyweight were observed in all haulms. Nitrogen retention (range: 6.7 to 11.4 g/d) and live weight gains (range: 65 to 137 g/d) varied about two fold among genotypes suggesting that the choice of groundnut genotype can have a very significant effect on livestock productivity in feeding systems based on groundnut haulms. Haulm fodder quality difference were well reflected by acid detergent lignin (ADL), which accounted for 58, 39 and 72% of the variation in haulm in vivo digestibility, nitrogen retention and live weight gains, respectively. Using stepwise multiple regression procedures, combinations of haulm ADL content and in vitro digestibility and of haulm ADL content and in vitro metabolisable energy content accounted for 84% and 92% of the variation in in vivo digestibility and live weight gain, respectively. The combination of haulm nitrogen and ADL content accounted for 80% of the variation in nitrogen retention. Among the genotypes, ICGV 89104), ICGV 91114), TMV 2 and ICGV 92093 promoted highest productivity in shee

Assessing village-level carbon balance due to greenhouse gas mitigation interventions using EX-ACT model

Under National Initiative on Climate Resilient Agriculture (NICRA) project, a range of climate smart agricultural practices were evaluated with on-farm demonstrations during 2011–2013 in eight climatically vulnerable villages of Andhra Pradesh, India. Proven climate smart practices viz residue recycling, soil, water and nutrient management, afforestation and feeding + breeding practices in livestock were implemented in annual and perennial crops, irrigated rice, horticulture, fodder, forestry and livestock. An EX-ante carbon-balance tool (EX-ACT) developed by the FAO was used with a combination of various climate smart interventions to know the mitigation potentials in eight climatically vulnerable villages of Andhra Pradesh, India. Based on our observations, EX-ACT model had shown that these practices were effective to mitigate CO2 emissions apart from enhancing soil productivity. In Nacharam, Yagantipalli, Sirusuwada and Matsyapuri villages, climate smart practices implemented in annual crops along with crop residue recycling, crop and water management practices resulted in negative carbon (C) balance by −16,410, −8851, −7271 and −6125 t CO2 e, respectively. The EX-ACT model predicted positive carbon balance with irrigated module in the rice-growing villages of Sirusuwada and Matsyapuri villages. The negative values suggest a sink, and positive values a source for CO2 emissions. In Chamaluru village, although there were CO2 emissions (source) due to livestock and non-forest and land use changes, there was a carbon sink due to other activities as predicted by the model. The results suggested that various climatic smart practices at the village level were successful in creating net sink of CO2 emissions (t CO2 e)

Potential and Challenges of Rainfed Farming in India

India ranks first in rainfed agriculture globally in both area (86 Mha) and the value of produce. Rainfed regions in India contribute substantially toward food grain production including 44% of rice, 87% of coarse cereals (sorghum (Sorghum bicolor), pearl millet (Pennisetum glaucum), maize (Zea mays)), and 85% of food legumes, 72% of oilseeds, 65% of cotton, and 90% of minor millets. Overall, the rainfed areas produce 40% of the food grains, support two-thirds of the livestock population, and are critical to food security, equity, and sustainability..

SRI-A Method for Sustainable Intensification of Rice Production with Enhanced Water Productivity

Climate change induced higher temperatures will increase crops’ water requirements. Every 10°C increase in mean temperature, results in 7% decline in the yield of rice crop. Hence, there is a need to develop water saving technologies in rice which consumes more than 50% of the total irrigation water in agriculture. System of Rice Intensification (SRI) is one such water saving rice production technology. Experiments were conducted at different locations in India including research farm of Directorate of Rice Research (DRR), Hyderabad, during 2005-10 to assess the potential of SRI in comparison to normal transplanting/Standard Planting (NTP/SP) under flooded condition. SRI recorded higher grain yield (6 to 65% over NTP) at majority of locations. Long term studies clearly indicated that grain yield was significantly higher (12-23% and 4-35% over NTP in Kharif and Rabi seasons, respectively) in SRI (with organic+inorganic fertilizers) while the SRI (with100% organic manures), recorded higher yield (4-34%) over NTP only in the Rabi seasons. Even though, SRI resulted in higher productivity, the available nutrient status in soil was marginally higher (10, 42 and 13% over NTP for N, P and K, respectively) at the end of four seasons. There was a reduction in the incidence of pests in SRI and the relative abundance of plant parasitic nematodes was low in SRI as compared to the NTP. About 31% and 37% saving in irrigation water was observed during Kharif and Rabi seasons, respectively in both methods of SRI cultivation over NTP. SRI performed well and consistently reduced requirement of inputs such as seed and water in different soil conditions. SRI method, using less water for rice production can help in overcoming water shortage in future and it can also make water available for growing other crops thus promoting crop diversificatio

Challenges in QCD matter physics - The Compressed Baryonic Matter experiment at FAIR

Substantial experimental and theoretical efforts worldwide are devoted to explore the phase diagram of strongly interacting matter. At LHC and top RHIC energies, QCD matter is studied at very high temperatures and nearly vanishing net-baryon densities. There is evidence that a Quark-Gluon-Plasma (QGP) was created at experiments at RHIC and LHC. The transition from the QGP back to the hadron gas is found to be a smooth cross over. For larger net-baryon densities and lower temperatures, it is expected that the QCD phase diagram exhibits a rich structure, such as a first-order phase transition between hadronic and partonic matter which terminates in a critical point, or exotic phases like quarkyonic matter. The discovery of these landmarks would be a breakthrough in our understanding of the strong interaction and is therefore in the focus of various high-energy heavy-ion research programs. The Compressed Baryonic Matter (CBM) experiment at FAIR will play a unique role in the exploration of the QCD phase diagram in the region of high net-baryon densities, because it is designed to run at unprecedented interaction rates. High-rate operation is the key prerequisite for high-precision measurements of multi-differential observables and of rare diagnostic probes which are sensitive to the dense phase of the nuclear fireball. The goal of the CBM experiment at SIS100 (sqrt(s_NN) = 2.7 - 4.9 GeV) is to discover fundamental properties of QCD matter: the phase structure at large baryon-chemical potentials (mu_B > 500 MeV), effects of chiral symmetry, and the equation-of-state at high density as it is expected to occur in the core of neutron stars. In this article, we review the motivation for and the physics programme of CBM, including activities before the start of data taking in 2022, in the context of the worldwide efforts to explore high-density QCD matter.Comment: 15 pages, 11 figures. Published in European Physical Journal

Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC

The uncertainty on the calorimeter energy response to jets of particles is derived for the ATLAS experiment at the Large Hadron Collider (LHC). First, the calorimeter response to single isolated charged hadrons is measured and compared to the Monte Carlo simulation using proton-proton collisions at centre-of-mass energies of sqrt(s) = 900 GeV and 7 TeV collected during 2009 and 2010. Then, using the decay of K_s and Lambda particles, the calorimeter response to specific types of particles (positively and negatively charged pions, protons, and anti-protons) is measured and compared to the Monte Carlo predictions. Finally, the jet energy scale uncertainty is determined by propagating the response uncertainty for single charged and neutral particles to jets. The response uncertainty is 2-5% for central isolated hadrons and 1-3% for the final calorimeter jet energy scale.Comment: 24 pages plus author list (36 pages total), 23 figures, 1 table, submitted to European Physical Journal

Rare coding SNP in DZIP1 gene associated with late-onset sporadic Parkinson's disease

We present the first application of the hypothesis-rich mathematical theory to genome-wide association data. The Hamza et al. late-onset sporadic Parkinson's disease genome-wide association study dataset was analyzed. We found a rare, coding, non-synonymous SNP variant in the gene DZIP1 that confers increased susceptibility to Parkinson's disease. The association of DZIP1 with Parkinson's disease is consistent with a Parkinson's disease stem-cell ageing theory.Comment: 14 page