Fm University

Balasore, India

Fm University

Balasore, India

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Banerjee A.,FM University | Mittra B.,FM University | Das A.B.,OUAT
Indian Journal of Plant Physiology | Year: 2017

Wheat seedlings pre-exposed to aluminum (Al) prior to fungal inoculation resulted in enhanced hydrogen peroxide (H2O2) content in the roots coupled with increase in glutathione (GSH) and salicylic acid (SA) levels in the shoots, which were not directly inoculated with the pathogen. Over-accumulation of GSH and SA at the shoot level indicated systemic expression of enhanced defense responses upon pathogen attack. Higher concentrations of GSH and SA in the shoots induced resistance responses, which were manifested through the biochemical imprint of the seedlings. Aluminum pre-exposure before pathogen inoculation resulted in significant increase in the assimilatory pigments, total soluble carbohydrates and total phenolic compounds on 7 and 14 days after inoculation as compared to untreated control seedlings. Untreated seedlings infected with Fusarium showed significant decline in the biochemical parameters studied and were highly susceptible to the pathogen. Disease severity index calculated in case of Fusarium infected seedling was significantly higher than co-stressed seedlings. © 2016, Indian Society for Plant Physiology.

Biswal S.K.,Institute of Physics, Bhubaneswar | Sahoo P.K.,Birla Institute of Technology and Science | Adhikary M.C.,Fm University
International Journal of Theoretical Physics | Year: 2012

We have constructed Bianchi type-III cosmological model with strange quark matter attached to the string cloud in Barber's (Gen. Relativ. Gravit. 14:117, 1982) second self-creation theory of gravitation which is inflationary. Further it is obtained that the theory leads to Einstein theory at initial epoch and at infinite future. © 2011 Springer Science+Business Media, LLC.

Goswami S.,Ravenshaw University | Nayak S.K.,Sidheswar Mahavidyalaya | Pradhan A.C.,Un College | Dey S.K.,Fm University
Journal of Environmental Biology | Year: 2011

Noise pollution is a significant environmental problem in many rapidly urbanizing areas of Orissa, India. Transportation sector is one of the major contributors to noise in these areas. The present study is an attempt to estimate traffic noise pollution at five places on the way from Vyasa Vihar Campus to Gyan Vigyan Vihar Campus of Fakir Mohan University, Balasore, Orissa. The sources of noise at the studied sites are predominantly attributable to motor vehicular traffic. The noise levels of all the five locations were found to be beyond permissible limit during the day time. The contributions of different types of vehicles to environmental noise were found to ranging from 70.4-94.2, 79.0-96.1, 77.8-110.2, 70.8-90.3, 71.0-87.5, 71.1-84.4, 72.5-86.9 and 74.0-85.4 dB (A) by cargo carrying Trucks, Tractors, Dumpers, Town Buses, Motor cycles, Bolero/Trucker, Pick up and Tempo respectively. The contributions of individual vehicles towards noise pollution were found to be more than the road traffic noise-limit i.e., 70 dB (A). On certain local inhabitants interviewed, the impact of noise was observed in the forms of alterations in their physical, psychological and personal aspects. This study warrants attention from all sections of people to deal with the problem of noise pollution. © 2011 Triveni Enterprises.

Pattanaik S.,Fm University | Huggins F.E.,University of Kentucky | Huffman G.P.,University of Kentucky
Environmental Science and Technology | Year: 2012

Epidemiological studies have linked residual oil fly ash fine particulate matter with aerodynamic diameter <2.5 μm (ROFA PM2.5) to morbidity and mortality from cardiovascular and respiratory illnesses. Bioavailable transition metals within PM have been cited as one of the components that induce such illnesses. By combining synchrotron-based X-ray absorption spectroscopy with leaching experiment, we studied the effect of residual oil compositions and combustion conditions on the speciation of Fe and Ni in ROFA PM2.5 and the implication of these species for human health and environment. PM2.5 samples were obtained from two types of combustors, a fire tube boiler (FTB) and a refractory line combustor (RLC). The study reveals that only Fe2(SO4)3· nH2O is present in RLC PM2.5 while Fe2(SO 4)3·nH2O predominates in FTB PM 2.5 with inclusion of varying amounts of nickel ferrite. The finding that RLC PM2.5 is more bioavailable and hence more toxic than FTB PM2.5 is significant. The reduction of toxicity of FTB PM 2.5 is due to the immobilization of a portion of Fe and Ni in the formation of an insoluble NiFe2O4. This may explain the variation of toxicity from exposure to different ROFA PM2.5. Additionally, the speciation data are sought for developing emission inventories for source apportionment study and understanding the mechanism of PM formation. © 2012 American Chemical Society.

Meher R.,Nabakrushna Choudhury Center for Development Studies Bhubaneswar | Patro R.P.,Fm University
Journal of Health Management | Year: 2014

Health is an essential component of economic development and there is a strong correlation between health of human population and societal well-being. We cannot just think of the development of the human capital without the development of health and education of the people. However, it is found that although India has made large gains on the health front of its population, there exist wide variations between and within states. While states such as Kerala, Punjab and Tamil Nadu have a very developed health sector and the health indicators of these states are comparable to those of developed middle-income countries, states such as Bihar, Jharkhand, Madhya Pradesh, Chhattisgarh, Uttar Pradesh, Odisha, etc., are almost at the level of Sub-Saharan Africa. By using a few of the key health indicators the present article makes a critical analysis of the health status of people in the 17 major states of India, the ongoing health development programmes and the present state of public health care services in different parts of the country. The article further delves into an arena of specific policy intervention measures that are required to be undertaken in order to increase the health status of people. © 2014 Indian Institute of Health Management Research

Behera R.K.,National Institute of Technology Rourkela | Rath S.K.,National Institute of Technology Rourkela | Jena M.,Fm University
Procedia Computer Science | Year: 2016

Community refers to the group of entities which have similar behavior or characteristic among them. Usually community represents basic functional unit of social network. By understanding the behavior of elements in a community, one can predict the overall feature of large scale social network. Social networks are generally represented in the form of graph structure, where the nodes in it represent the social entities and the edges correspond to the relationships between them. Detecting different communities in large scale network is a challenging task due to huge data size associated with such network. Community detection is one of the emerging research area in social network analysis. In this paper, a spanning tree based algorithm has been proposed for community detection which provides better performance with respect to both time and accuracy. Modularity is the well known metric used to measure the quality of community partition in most of the community detection algorithms. In this paper, an extensive version of modularity has been used for quality assessment. © 2016 The Authors. Published by Elsevier B.V.

Pradhan B.,Government Science College | Mohanta K.L.,Siksha ‘O’ Anusandhan University | Rout G.C.,Fm University
Physica C: Superconductivity and its Applications | Year: 2012

We report here a mean-field study of competing antiferromagnetism, superconductivity and lattice strain phases and their effect on the local density of states of the cuprate system. Our model Hamiltonian incorporating these interactions is reported earlier [G.C. Rout et al., Physica C, 2007]. The analytic expression for superconducting, antiferromagnetism and lattice strain order parameters are calculated and solved self-consistently. The interplay of these order parameters is investigated considering the calculated density of states (DOSs) of the conduction electrons. The DOS displays multiple gap structures with multiple peaks. It is suggested that the tunneling conductance data obtained from the scanning tunneling microscopy (STM) measurements could be interpreted by using the quasi-particle bands calculated from our model Hamiltonian. We have discussed the mechanism to calculate the order parameters from the conductance data. © 2012 Elsevier B.V. All rights reserved.

Rout G.C.,FM University | Panda S.K.,KD Science College
Physica C: Superconductivity and its Applications | Year: 2011

We address here the self-consistent calculation of the spin density wave and the charge density wave gap parameters for high-Tc cuprates on the basis of the Hubbard model. In order to describe the experimental observations for the velocity of sound, we consider the phonon coupling to the conduction band in the harmonic approximation and then the expression for the temperature dependent velocity of sound is calculated from the real part of the phonon Green's function. The effects of the electron-phonon coupling, the frequency of the sound wave, the hole doping concentration, the CDW coupling and the SDW coupling parameters on the sound velocity are investigated in the pure CDW phase as well as in the co-existence phase of the CDW and SDW states. The results are discussed to explain the experimental observations. © 2011 Elsevier B.V. All rights reserved.

Rout G.C.,Fm University | Panda S.K.,Kd Science College
Physica C: Superconductivity and its Applications | Year: 2011

It is observed that doping suppresses the long range anti-ferromagnetic order and induces superconducting phase for a suitable doping. In order to study this effect, we present a model study of the doping dependence of the tunneling conductance in high-Tc systems. The system is described by the Hamiltonian consisting of spin density wave (SDW) and s-wave type superconducting interaction in presence of varying impurity concentrations. The gap equations are calculated by using Green's functions technique of Zubarev. The gap equations and the chemical potential are solved self-consistently. The imaginary part of the electron Green's functions shows the quasi-particle density of states which represent the tunneling conductance observed by the scanning tunneling microscopy (STM). We investigate the effect of impurity on the gap equations as well as on the tunneling conductance. The results will be discussed based on the experimental observations. © 2011 Elsevier B.V. All rights reserved.

Mohapatra R.,Fm University | Rout G.C.,Physics Enclave
Physica C: Superconductivity and its Applications | Year: 2015

Abstract We present here a model Hamiltonian to study the interplay between staggered magnetic field and the superconductivity with d-wave pairing symmetry in presence of hybridization between impurity f-electrons of rare-earth ions and 3d-electrons of copper ions. The staggered field and superconducting (SC) gaps are calculated by Green's function technique and solved self-consistently. The coupling constants are compared using s-wave and d-wave pairings. The strength of hybridization suppresses the magnitude of the gaps; while antiferromagnetic coupling enhances the superconducting transition temperature, but suppresses the Neel temperature. The density of states (DOS) representing tunneling conductance shows complex character with impurity level lying at the Fermi level. The electronic specific heat explains prototype heavy fermion behavior in cuprate systems at low temperatures. © Published by Elsevier B.V.

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