scholarly journals Yule-Nielsen effect in halftone prints: graphical analysis method and improvement of the Yule-Nielsen transform

2014 ◽  
Author(s):  
Mathieu Hébert
Keyword(s):  
Graphical Analysis ◽  
Analysis Method

Causes of ecosystem transformations variability in lakes of the european part of Russia and Western Siberia (diatom analysis)

2019 ◽  
pp. 79-82
Author(s):  
Lev V. Razumovsky
Keyword(s):  
Western Siberia ◽  
Graphical Analysis ◽  
European Part ◽  
Analysis Method ◽  
Climatic Region ◽  
Diatom Analysis ◽  
Lake Ecosystems ◽  
Distinctive Features ◽  
European Part Of Russia

On the basis of author's graphical analysis method, the typification of lake ecosystems transformation scenarios depending on the size of lakes was carried out. It was confirmed that the type of transformation depends not only on size of the lake, but also on the landscape and climatic region in which it is located. The distinctive features of lake ecosystems transformation types in the European part of Russia and in Western Siberia were analyzed and compared.

scholarly journals Competitive Interaction Between Sweet Sorghum with Weeds

2018 ◽  
Vol 36 (0) ◽  
Author(s):  
L. GALON ◽  
C.O. SANTIN ◽  
A. ANDRES ◽  
F.J.M. BASSO ◽  
F. NONEMACHER ◽  
...  
Keyword(s):  
Experimental Design ◽  
Sweet Sorghum ◽  
Dry Matter ◽  
Competitive Ability ◽  
Graphical Analysis ◽  
Competitive Interaction ◽  
Clustering Coefficient ◽  
Analysis Method ◽  
Interspecies Competition ◽  
Intraspecies Competition

ABSTRACT: The objective of this work was to determine the competitive interaction of sweet sorghum cultivars BRS 506, BRS509, and BRS 511 with biotypes of Alexandergrass and wild poinsettia. The adopted experimental design was the randomized block one, with four replications. Treatments were arranged in a substitution series by proportions of 100:0, 75:25, 50:50, 25:75, and 0:100%, corresponding to 20:0, 15:5, 10:10, 5:15 and 0:20 plant per pot of sweet sorghum (cultivars BRS 506, BRS 509 and BRS 511) withweeds (Alexander grass/wild poinsettia). The leaf area (LA) and dry matter (DM) of sweet sorghum, Alexandergrass and wild poinsettia plants were determined 50 days after emergence. Data about competitive abilities were analysed through the graphical analysis method, constructing diagrams based on yield or relative and total variations. Indices of relative competitiveness, clustering coefficient and aggressiveness were also determined; all of them were relative indices. There was competition for the same environmental resources between sweet sorghum cultivars and weeds, with mutual injury to the species involved in the community. Wild poinsettia and Alexandergrass negatively modified the LA and DM of the crop, demonstrating a greater competitive ability for the resources that are available in the environment. Wild poinsettia was less competitive than sweet sorghum cultivars, while Alexandergrass showed higher competitive ability than them. The highest losses for the LA and DM variables were observed when species were in interspecies competition rather than intraspecies competition.

scholarly journals Control Design and Loop Gain Analysis of DC-to-DC Converters Intended for General Load Subsystems

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Syam Kumar Pidaparthy ◽  
Byungcho Choi
Keyword(s):  
Control Design ◽  
Current Mode ◽  
Graphical Analysis ◽  
Buck Converter ◽  
Analysis Method ◽  
Loop Gain ◽  
Inductive Load ◽  
Load Impedance ◽  
Impedance Characteristics ◽  
Actual Load

DC-to-DC converters are usually intended for general applications where the load impedance characteristics are unknown or undefined. This paper establishes the control design procedures for DC-to-DC converters in the absence of any prior knowledge on their load impedance. The proposed control design can be universally adapted to all the DC-to-DC converters regardless of the impedance characteristics of their actual load. This paper also presents the loop gain analysis of the converter combined with an actual load whose impedance characteristics are only available afterward. A graphical analysis method is proposed, which enables us to predict the loop gain of the converter in the presence of an arbitrary load impedance. The validity of the analysis method is demonstrated using a current-mode controlled buck converter coupled with an inductive load, capacitive load, and converter load. Theoretical predictions are verified with both computer simulations and experimental measurements.

scholarly journals A Strategy for Removing the Bias in the Graphical Analysis Method

2001 ◽  
Vol 21 (3) ◽  
pp. 307-320 ◽  
Author(s):  
Jean Logan ◽  
Joanna S. Fowler ◽  
Nora D. Volkow ◽  
Yu Shin Ding ◽  
Gene-Jack Wang ◽  
...  
Keyword(s):  
Least Squares ◽  
Graphical Method ◽  
Graphical Analysis ◽  
Distribution Volume ◽  
Noise Model ◽  
Data Sets ◽  
Multiple Time ◽  
Analysis Method ◽  
Reference Tissue ◽  
The One

The graphical analysis method, which transforms multiple time measurements of plasma and tissue uptake data into a linear plot, is a useful tool for rapidly obtaining information about the binding of radioligands used in PET studies. The strength of the method is that it does not require a particular model structure. However, a bias is introduced in the case of noisy data resulting in the underestimation of the distribution volume (DV), the slope obtained from the graphical method. To remove the bias, a modification of the method developed by Feng et al. (1993) , the generalized linear least squares (GLLS) method, which provides unbiased estimates for compartment models was used. The one compartment GLLS method has a relatively simple form, which was used to estimate the DV directly and as a smoothing technique for more general classes of model structures. In the latter case, the GLLS method was applied to the data in two parts, that is, one set of parameters was determined for times 0 to T1 and a second set from T1 to the end time. The curve generated from these two sets of parameters then was used as input to the graphical method. This has been tested using simulations of data similar to that of the PET ligand [11C]- d-threo-methylphenidate (MP, DV = 35 mL/mL) and 11C raclopride (RAC, DV = 1.92 mL/mL) and compared with two examples from image data with the same tracers. The noise model was based on counting statistics through the half-life of the isotope and the scanning time. Five hundred data sets at each noise level were analyzed. Results (DV) for the graphical analysis (DVg), the nonlinear least squares (NLS) method (DVnls), the one-tissue compartment GLLS method (DVf), and the two part GLLS followed by graphical analysis (DVfg) were compared. DVFG was found to increase somewhat with increasing noise and in some data sets at high noise levels no estimate could be obtained. However, at intermediate levels it provided a good estimation of the true DV. This method was extended to use a reference tissue in place of the input function to generate the distribution volume ratio (DVR) to the reference region. A linearized form of the simplified reference tissue method of Lammertsma and Hume (1996) was used. The DVR generated directly from the model (DVRfl) was compared with DVRfg (determined from a “smoothed” uptake curve as for DVfg) using the graphical method.

Computational Analysis for Mixed Convective Flows of Viscous Fluids With Nanoparticles

2018 ◽  
Vol 11 (2) ◽  
Author(s):  
Umer Farooq ◽  
DianChen Lu ◽  
Salim Ahmed ◽  
Muhammad Ramzan ◽  
Jae Dong Chung ◽  
...  
Keyword(s):  
Computational Analysis ◽  
Graphical Analysis ◽  
Viscous Fluids ◽  
Analysis Method ◽  
Optimal Homotopy Analysis Method ◽  
Layer Width ◽  
Convective Flows ◽  
Governing System ◽  
Homotopy Analysis ◽  
Residual Errors

Abstract In this article, magnetohydrodynamic (MHD) mixed convection in an exponentially stretchable surface saturated with viscous fluid has been studied. BVPh 2.0 is employed which is mathematica-based algorithm created on the basis of optimal homotopy analysis method (OHAM). Adequate transformations are utilized for the conversion of governing system into nonlinear ordinary differential system. Convergence of BVPh 2.0 results is demonstrated through tabular values of squared residual errors. Graphical analysis is executed for broad range of governing parameters. It has been revealed an increase in buoyancy leads to the growth of boundary layer width. Further results predict the heat infiltration into the fluid increases as Brownian motion and Biot number enlarges. Mathematically this work exhibits the potential of BVPh 2.0 for nonlinear differential systems.

scholarly journals A consistent and efficient graphical analysis method to improve the quantification of reversible tracer binding in radioligand receptor dynamic PET studies

NeuroImage ◽  
2009 ◽  
Vol 44 (3) ◽  
pp. 661-670 ◽  
Author(s):  
Yun Zhou ◽  
Weiguo Ye ◽  
James R. Brašić ◽  
Andrew H. Crabb ◽  
John Hilton ◽  
...  
Keyword(s):  
Graphical Analysis ◽  
Dynamic Pet ◽  
Analysis Method

Disturbance of serotonin 5HT2 receptors in remitted patients suffering from hereditary depressive disorder

2001 ◽  
Vol 40 (04) ◽  
pp. 129-134 ◽  
Author(s):  
A. Klimke ◽  
F. Mayoral ◽  
K. Hamacher ◽  
H. R. Herzog ◽  
H. Vosberg ◽  
...  
Keyword(s):  
Graphical Analysis ◽  
Depressive Illness ◽  
Binding Potential ◽  
Analysis Method ◽  
Positron Emission ◽  
5Ht2 Receptors ◽  
Restricted Region ◽  
Antidepressive Medication ◽  
5Ht2 Receptor

SummaryAim: The characteristics of 5HT2 receptor binding were investigated in major depression in vivo using positron emission tomography and the radioligand F-l 8-altanserin. Methods: Twelve patients from families with high loading of depression living in a geographically restricted region were examined and compared with normal control subjects. At the time of the PET measurement all patients were remitted; in some of them remission was sustained by antidepressive medication. Binding potential was assessed by Logan’s graphical analysis method. Results: The binding of F-l 8-altanserin was about 38% lower in patients than in healthy controls (p <0.00D. A multiple regression analysis revealed that this difference was mainly induced by depression rather than by medication. Conclusions: The data suggest that 5HT2 receptors are altered in depression. We present evidence for a reduction of the receptor density, which might be usable as trait marker of subjects susceptible for depressive illness.

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