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Subir??, Marta,Cano, Marta,de Wit, Stella J,Alonso, Pino,Cardoner, Narcí,s,Hoexter, Marcelo Q,Kwon, Jun Soo,Nakamae, Takashi,Lochner, Christine,Sato, Joã,o R,Jung, Wi Hoon,Narumoto, Jin,St JOURNAL OF PSYCHIATRY AND NEUROSCIENCE 2016 JOURNAL OF PSYCHIATRY AND NEUROSCIENCE Vol.41 No.2
<P>Frontostriatal and frontoamygdalar connectivity alterations in patients with obsessive-compulsive disorder (OCD) have been typically described in functional neuroimaging studies. However, structural covariance, or volumetric correlations across distant brain regions, also provides network-level information. Altered structural covariance has been described in patients with different psychiatric disorders, including OCD, but to our knowledge, alterations within frontostriatal and frontoamygdalar circuits have not been explored.</P>
( Subir Paul ),( Bikramjit Kundu ) 한국부식방식학회(구 한국부식학회) 2018 Corrosion Science and Technology Vol.17 No.5
Metallic structures in the oil and gas production undergo severe degradation due to sweet and sour corrosion caused by the presence of CO<sub>2</sub> and H<sub>2</sub>S in the fluid environment. The corrosion behavior of 304 austenitic stainless was investigated in the presence of varying concentrations of CO<sub>2</sub> or H<sub>2</sub>S and CO<sub>2</sub> + H<sub>2</sub>S to understand the effect of the parameters either individually or in combination. Potentiodynamic polarization study revealed that a small amount of CO<sub>2</sub> aided in the formation of calcareous deposit of protective layer on passive film of 304 steel, while increase in CO<sub>2</sub> concentration ruptured the layer resulting in sweet corrosion. The presence of S<sup>2-</sup> damaged the passive and protective layer of the steel and higher levels increased the degradation rate. Electrochemical impedance studies revealed lower polarization resistance and impedance at higher concentration of CO<sub>2</sub> or H<sub>2</sub>S, supporting the outcomes of polarization study. XRD analysis revealed different types of iron carbides and iron sulphides corresponding to sweet and sour corrosion as the corrosion products, respectively. SEM analysis revealed the presence of uniform, localized and sulphide cracking in sour corrosion and general corrosion with protective carbide layer amid for sweet corrosion.
Subir Ghosh,Hiya Banerjee 한국통계학회 2010 Journal of the Korean Statistical Society Vol.39 No.4
We present two methods of finding the initial values of parameters of the maximum likelihood estimating equations (MLEE) for a logistic regression model using two criterion functions.Wethen use the initial values and the corresponding criterion functions to obtain the final solutions of MLEE. Most experiments include more than two doses for determining a lethal dose like ED50. With more than two doses, we do not have an exact analytical expression for the solution of estimating equations. However, for two doses, we do have an exact analytic expression for the solution of estimating equations. The iterative methods make use of the initial values of the parameters. We have used the search algorithm for performing the optimization to find the final solutions of MLEE. The proposed approach starts with all possible pairs of doses from the doses considered in the experiment. It then chooses the pair giving the optimum value of a criterion function and the corresponding exact solutions for the parameters based on two observations in the pair as the initial values of parameters for solving MLEE for all observations. The proposed methods are transparent in the selection of the initial values of parameters. The proposed methods are computer intensive like bootstrap and jackknife methods popular among statisticians. We illustrate our two methods of finding the initial values with an observed beetle mortality data. We then apply them to obtain the final solutions using two criterion functions. We observe that the numerical values of ED50 for the initial values of the parameters obtained by our approach are almost the same as the numerical values of ED50 for the final solutions. This closeness of the estimated ED50 values from our initial parameter values to the estimated ED50 values from the final solutions is a strong feature of our proposed methods. Moreover,the proposed methods compare favorably with SAS and R in terms of CPU time values.
Invasion potential of Kappaphycus alvarezii on corals at Kurusadai Island, Gulf of Mannar, India
Subir Kumar Mandal,Vaibhav A. Mantri,Soumya Haldar,Karuppanan Eswaran,Meenakshisundaram Ganesan 한국조류학회I 2010 ALGAE Vol.25 No.4
The marine red alga Kappaphycus alvarezii is a major source of κ-carrageenan. It has been introduced in 20 countries including India. Recently, several reports have expressed concerns about Kappaphycus invasion on Acropora corals at Kurusadai Island in the Gulf of Mannar, India, which is part of a marine bioreserve. To understand the extent of the Kappaphycus invasion, 27 randomly selected locations around Kurusadai Island and the mainland coast were surveyed during May-August 2008 and July 2009. Our rigorous sampling revealed that K. alvarezii was confined to two different patches of 105 m × 55 m and 8 m × 9 m located at the southeastern part of Kurusadai Island. The actual extent of the K. alvarezii canopy coverage was 76.7 m2, accounting for less than 0.0035% of the total coral reef area. The daily growth rate of the K. alvarezii at Kurusadai was 0.7%. K. alvarezii was not observed in the coral reef area of the adjoining Pullivasal and Poomarichan Islands or the Palk Bay area cultivation sites. The lack of functional reproductive cycle, low spore viability,and the absence of microscopic phases in the life cycle of this alga coupled with the abundance presence of herbivores may restrict the further spread of this alga, so its invasive potential at Kurusadai Island is considered remote.
Subir Datta,Badal Kumar,Shuma Adhikari,Nidul Sinha 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1
This paper proposes a modifi ed bias (MB) and coeffi cient diagram method (CDM) based PID controller as a fi rst attempt in controlling frequency of a self-reliant microgrid (MG) system under extreme unfavourable scenarios. Recently developed meta-heuristic algorithm, Grey Wolf Optimizer (GWO), is used for optimizing the parameters of the proposed controller GWO). Frequency deviation arises in the system due to active power mismatch between load power demand and actual power generation. In order to overcome this problem the CDM based gain values and frequency biased parameters of the MG system are used for determining the ranges of the control parameters for optimization with GWO which ensures that the search points generated by the search algorithm are stable ones. Simulation of the proposed GWO optimized MB-CDM controller-based MG system has been successfully implemented in real time simulation platform using digital simulator OPAL-RT. The performance of the system is obtained using proposed controller under diff erent real-life scenarios and results are minutely analysed. The results are further compared with other relevant recent controllers including particle swarm optimization (PSO) MB-CDM controller to demonstrate that the proposed controller is superior to all other controllers. In addition, sensitivity analysis of the proposed controller for the MG system is studied under varying system parameters. The Simulink results illustrate that the proposed controller gives the best dynamic response amongst all other considered controllers in terms of peak transient deviation and settling time.
Materials and Electrochemistry: Present and Future Battery
Paul, Subir The Korean Electrochemical Society 2016 Journal of electrochemical science and technology Vol.7 No.2
Though battery chemistry and technology had been developed for over a hundred years back, increase in demand for storage energy, in the computer accessories, cell phones, automobile industries for future battery car and uninterrupted power supply, has made, the development of existing and new battery, as an emerging areas of research. With innovation of high energetic inexpensive Nano structure materials, a more energy efficient battery with lower cost can be competitive with the present primary and rechargeable batteries. Materials electrochemistry of electrode materials, their synthesis and testing have been explained in the present paper to find new high efficient battery materials. The paper discusses fundamental of electrochemistry in finding true cell potential, overvoltages, current, specific energy of various combinations of anode-cathode system. It also describes of finding the performance of new electrode materials by various experiments viz. i. Cyclic Voltammetry ii. Chronoamperometry iii. Potentiodynamic Polarization iv. Electrochemical Impedance Spectroscopy (EIS). Research works of different battery materials scientists are discussed for the development of existing battery materials and new nano materials for high energetic electrodes. Problems and prospects of a few promising future batteries are explained.