Glacier Melting Risk: Predictive Model of Glacial Melting by Correlating Timeseries Analysis of Geoglacial Data with Fractal-Analysis of Remote-Sensed Images

Global atmospheric warming and rising ocean temperatures can contribute to the acceleration of glacier melting and influence the generation and physical characteristics of sediment flows in bays and fjords of the Antarctic Peninsula. During the First Scientific Expedition of Colombia to the Antarctic, carried out between January and February 2015, hydrographic variables (temperature, salinity, pressure and turbidity) were measured in the water column, from very close to the main glacier front towards the offshore, on 5 bays of the Danco Coast, Western Antarctic Peninsula. Glacimarine sediment plumes from the tidewater glacier were identified in all bays, however, with varying spatial extensions as well as the concentration of sediments, being those of the central area of the Danco Coast, the most extensive and concentrated. By comparison with previous years, in this work higher average particle concentrations were recorded. The greater flow of glaciomarine sediments could be associated with greater glacial melting, among other possible factors

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Predictive model of electron beam induced flashblindness.

PsycEXTRA Dataset ◽

10.1037/e441362004-001 ◽

1985 ◽

Author(s):

Norma Miller ◽

Thomas G. Wheeler

Keyword(s):

Electron Beam ◽

Predictive Model

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A Predictive Model relating Work Stressors, Burnout and Ill-health of Accountants in South Africa

PsycEXTRA Dataset ◽

10.1037/e604062012-356 ◽

2012 ◽

Author(s):

Monica Smith ◽

Nicolene Barkhuizen

Keyword(s):

South Africa ◽

Predictive Model ◽

Work Stressors

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Brahmaputra valley pushing 'glacier-melting pollutants' into Himalayas

Nature India ◽

10.1038/nindia.2012.71 ◽

2012 ◽

Keyword(s):

Brahmaputra Valley ◽

Glacier Melting

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Heterogeneity of Cerebral Blood Flow: a Fractal Approach

Nuklearmedizin ◽

10.1055/s-0038-1632242 ◽

2000 ◽

Vol 39 (02) ◽

pp. 37-42 ◽

Cited By ~ 14

Author(s):

P. Hartikainen ◽

J. T. Kuikka

Keyword(s):

Blood Flow ◽

Cerebral Blood Flow ◽

Fractal Dimension ◽

Frontal Lobe ◽

Fractal Analysis ◽

Relative Dispersion ◽

Emission Computed Tomography ◽

Brain Blood Flow ◽

Healthy Controls ◽

Fractal Approach

Summary Aim: We demonstrate the heterogeneity of regional cerebral blood flow using a fractal approach and singlephoton emission computed tomography (SPECT). Method: Tc-99m-labelled ethylcysteine dimer was injected intravenously in 10 healthy controls and in 10 patients with dementia of frontal lobe type. The head was imaged with a gamma camera and transaxial, sagittal and coronal slices were reconstructed. Two hundred fifty-six symmetrical regions of interest (ROIs) were drawn onto each hemisphere of functioning brain matter. Fractal analysis was used to examine the spatial heterogeneity of blood flow as a function of the number of ROIs. Results: Relative dispersion (= coefficient of variation of the regional flows) was fractal-like in healthy subjects and could be characterized by a fractal dimension of 1.17 ± 0.05 (mean ± SD) for the left hemisphere and 1.15 ± 0.04 for the right hemisphere, respectively. The fractal dimension of 1.0 reflects completely homogeneous blood flow and 1.5 indicates a random blood flow distribution. Patients with dementia of frontal lobe type had a significantly lower fractal dimension of 1.04 ± 0.03 than in healthy controls. Conclusion: Within the limits of spatial resolution of SPECT, the heterogeneity of brain blood flow is well characterized by a fractal dimension. Fractal analysis may help brain scientists to assess age-, sex- and laterality-related anatomic and physiological changes of brain blood flow and possibly to improve precision of diagnostic information available for patient care.

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Air Pollution Attributable Deaths: A Global View Through Fractal Analysis

Recoletos Multidisciplinary Research Journal ◽

10.32871/rmrj1402.01.16 ◽

2014 ◽

Vol 2 (1) ◽

pp. 149-162

Author(s):

Melvin de Castro ◽

◽

Tonette Villanueva ◽

Grace Arcamo ◽

Rayna Lynn de Castro ◽

...

Keyword(s):

Air Pollution ◽

Fractal Analysis ◽

Global View

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Structure characterization of ground calcium carbonate flocs by fractal analysis and their effects on handsheet properties

TAPPI Journal ◽

10.32964/tj12.3.17 ◽

2013 ◽

Vol 12 (3) ◽

pp. 17-23 ◽

Cited By ~ 3

Author(s):

WANHEE IM ◽

HAK LAE LEE ◽

HYE JUNG YOUN ◽

DONGIL SEO

Keyword(s):

Fractal Analysis ◽

Structural Characteristics ◽

Fractal Dimensions ◽

Strength Loss ◽

Structure Characterization ◽

Uniform Size ◽

Cross Sectional ◽

Floc Size ◽

Mass Fractal ◽

Handsheet Properties

Preflocculation of filler particles before their addition to pulp stock provides the most viable and practical solution to increase filler content while minimizing strength loss. The characteristics of filler flocs, such as floc size and structure, have a strong influence on preflocculation efficiency. The influence of flocculant systems on the structural characteristics of filler flocs was examined using a mass fractal analysis method. Mass fractal dimensions of filler flocs under high shear conditions were obtained using light diffraction spectroscopy for three different flocculants. A single polymer (C-PAM), a dual cationic polymer (p-DADMAC/C-PAM) and a C-PAM/micropolymer system were used as flocculants, and their effects on handsheet properties were investigated. The C-PAM/micropolymer system gave the greatest improvement in tensile index. The mass fractal analysis showed that this can be attributed to the formation of highly dense and spherical flocs by this flocculant. A cross-sectional analysis of the handsheets showed that filler flocs with more uniform size were formed when a C-PAM/micropolymer was used. The results suggest that a better understanding of the characteristics of preflocculated fillers and their influence on the properties of paper can be gained based on a fractal analysis.

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