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      • KCI등재

        Assessment of Genetic Divergence in Salt Tolerance of Soybean (Glycine max L.) Genotypes

        Mannan, M.A.,Karim, M.A.,Khaliq, Q.A.,Haque, M.M.,Mian, M.A.K.,Ahmed, J.U. 한국작물학회 2010 Journal of crop science and biotechnology Vol.13 No.1

        A large number of soybean (Glycine max L.) genotypes of diverse growth habit and adaptive characters were used in the experiment. Soil salinity-induced changes in nine morpho-physiological characters of 30-day-old seedlings of 170 soybean genotypes were compared in the study. The first and second principal components (PC) of principal component analysis (PCA) results accounted for 97 and 2.5%, respectively, of the total variations of soybean genotypes. The variation for the first PC was composed mainly of relative total dry weight (DW), relative shoot dry weight, as well as petiole dry weight. There were four clusters distinguished in the cluster analysis. The genotypes in cluster IV performed better in respect to relative total dry weight and relative shoot dry weight and hence having salt tolerance. The genotypes clusters III performed very poorly and those of clusters II and I were moderate to poor. $D^2$ analysis indicated that the clusters differed significantly from each other. Discriminant function analysis (DFA) again asserts strongly that more than 92% of the genotypes were correctly assigned to clusters. Both PCA and DFA confirmed that the relative total DW followed by shoot and petiole DW were the major discriminatory variables, and the root DW were the secondary important variables to distinguish genotypes into groups. In this study, multivariate analyses were used in identifying the soybean genotypes of desirable traits for salt tolerance.

      • KCI등재

        Synthesis, characterization, and CO2 separation performance of polyether sulfone/[EMIM][Tf2N] ionic liquid-polymeric membranes (ILPMs)

        H.A. Mannan,D.F. Mohshim,H. Mukhtar,T. Murugesan,Z. Man,M.A. Bustam 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.54 No.-

        The objective of this research is to combine the superior features of polyethersulfone (PES) polymer and higher affinity of 1-ethyl-3-methyl imidazolium bis(trifluoromethylsulfonyl)imide ([emim][Tf2N]) ionic liquid for CO2 gas, in ionic liquid-polymeric membranes (ILPMs) at higher ionic liquid concentrations. The ionic liquid embedded membranes were characterized and tested for pure carbon dioxide and methane gases at 25 C temperature and at a relatively higher pressure range of 5–25 bar. The morphology of the membranes was dense and defect free as deduced from FESEM analysis. The gas permeation studies confirmed that increasing IL content in ILPMs resulted in the enhancement of both CO2 permeability and CO2/CH4 selectivity simultaneously, due to high affinity of CO2 in IL. This was observed when the permeation of carbon dioxide increased significantly from 2.42 barrer for neat PES membrane to 298.84 barrer (124-fold increment) for ILPM containing 50 wt. % IL, at 25 C and 25 bar. The resultant selectivity was improved from 15.91 to 57.53, which accounted for 3.6-fold increase in the ideal selectivity. The synthesized membranes are promising materials for industrial gas separation membranes for CO2 removal from CH4 gas at higher pressures and higher IL contents.

      • Optimal hemodynamic response model for functional near-infrared spectroscopy

        Kamran, Muhammad A.,Jeong, Myung Yung,Mannan, Malik M. N. Frontiers Media S.A. 2015 Frontiers in Behavioral Neuroscience Vol.9 No.-

        <P>Functional near-infrared spectroscopy (fNIRS) is an emerging non-invasive brain imaging technique and measures brain activities by means of near-infrared light of 650–950 nm wavelengths. The cortical hemodynamic response (HR) differs in attributes at different brain regions and on repetition of trials, even if the experimental paradigm is kept exactly the same. Therefore, an HR model that can estimate such variations in the response is the objective of this research. The canonical hemodynamic response function (cHRF) is modeled by two Gamma functions with six unknown parameters (four of them to model the shape and other two to scale and baseline respectively). The HRF model is supposed to be a linear combination of HRF, baseline, and physiological noises (amplitudes and frequencies of physiological noises are supposed to be unknown). An objective function is developed as a square of the residuals with constraints on 12 free parameters. The formulated problem is solved by using an iterative optimization algorithm to estimate the unknown parameters in the model. Inter-subject variations in HRF and physiological noises have been estimated for better cortical functional maps. The accuracy of the algorithm has been verified using 10 real and 15 simulated data sets. Ten healthy subjects participated in the experiment and their HRF for finger-tapping tasks have been estimated and analyzed. The statistical significance of the estimated activity strength parameters has been verified by employing statistical analysis (i.e., <I>t</I>-value > <I>t</I><SUB>critical</SUB> and <I>p</I>-value < 0.05).</P>

      • Initial-Dip Existence and Estimation in Relation to DPF and Data Drift

        Kamran, Muhammad A.,Naeem Mannan, Malik M.,Jeong, Myung-Yung Frontiers Media S.A. 2018 Frontiers in neuroinformatics Vol.12 No.-

        <P>Early de-oxygenation (initial dip) is an indicator of the primal cortical activity source in functional neuro-imaging. In this study, initial dip's existence and its estimation in relation to the differential pathlength factor (DPF) and data drift were investigated in detail. An efficient algorithm for estimation of drift in fNIRS data is proposed. The results favor the shifting of the fNIRS signal to a transformed coordinate system to infer correct information. Additionally, in this study, the effect of the DPF on initial dip was comprehensively analyzed. Four different cases of initial dip existence were treated, and the resultant characteristics of the hemodynamic response function (HRF) for DPF variation corresponding to particular near-infrared (NIR) wavelengths were summarized. A unique neuro-activation model and its iterative optimization solution that can estimate drift in fNIRS data and determine the best possible fit of HRF with free parameters were developed and herein proposed. The results were verified on simulated data sets. The algorithm is applied to free available datasets in addition to six healthy subjects those were experimented using fNIRS and observations and analysis regarding shape of HRF were summarized as well. A comparison with standard GLM is also discussed and effects of activity strength parameters have also been analyzed.</P>

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