Understanding Correlation: Factors That Affect the Size of r

Abstract Removal of heavy metals from the environment is important for living beings. The present work investigates the applicability of the natural and MnO2 - coated zeolite as sorbent for the removal of copper from synthetic solutions. Batch experiments were carried out to identify the influence of initial pH and concentration in the process of adsorption. A maximum removal efficiency of Cu(II) was observed in 10 mg/L for natural (95.6%) and modified (96.4%) zeolite, where the values was almost identical, but at concentration of 500 mg/L was the removal efficiency of modified zeolite three times higher. Based on the correlation factors R2, the Langmuir isotherms better describe the decontamination process than Freundlich. The optimum pH value was set at 5.0.

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The Research and Application of Masonry Structure Reliability Rating Method Based on Extenics

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.291-294.1029 ◽

2013 ◽

Vol 291-294 ◽

pp. 1029-1038

Author(s):

Ming Liu ◽

Bao Feng Song ◽

Daniel Dias ◽

Jing Pan

Keyword(s):

Structural Reliability ◽

Comprehensive Evaluation ◽

Element Model ◽

Assessment Method ◽

Masonry Structure ◽

Evaluation Index System ◽

Structure Reliability ◽

Rating Method ◽

Matter Element Model ◽

Correlation Factors

Aiming at masonry structure housing, establish the structure reliability evaluation index system. Subsidiary factors index dimensionless processing, the traditional matter-element model is analyzed, and based on this, the article puts forward an improved correlation functions, establish correlation function of the correlation factors of the index layer. Consider the weight coefficients of members,gave the extension index,combining analysis of the structural member reliability and extension comprehensive evaluation of the integral structural reliability, establish the masonry structure housing reliability assessment method framework. And prove the feasibility of this method through engineering examples.

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Participation in Transvaginal Ovarian Cancer Screening: Compliance, Correlation Factors, and Costs

Gynecologic Oncology ◽

10.1006/gyno.1995.1161 ◽

1995 ◽

Vol 57 (3) ◽

pp. 395-400 ◽

Cited By ~ 19

Author(s):

Edward J. Pavlik ◽

John R. van Nagell ◽

Paul D. DePriest ◽

Larry Wheeler ◽

John Mark Tatman ◽

...

Keyword(s):

Ovarian Cancer ◽

Cancer Screening ◽

Ovarian Cancer Screening ◽

Correlation Factors

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The Vacancy-Wind Factor and the Manning Factor Occurring in Interdiffusion and Ionic Conductivity in Solids

Diffusion Foundations ◽

10.4028/www.scientific.net/df.22.170 ◽

2019 ◽

Vol 22 ◽

pp. 170-183

Author(s):

Irina V. Belova ◽

Graeme E. Murch

Keyword(s):

Ionic Conductivity ◽

Radiation Damage ◽

Driving Force ◽

Transport Coefficients ◽

Equilibrium Concentration ◽

Wind Effect ◽

Crystalline Solids ◽

Net Flux ◽

The 1960S ◽

Correlation Factors

In crystalline solids, during such processes as chemical interdiffusion in alloys, ionic conductivity and the annealing out of radiation damage there will inevitably be a net flux of vacancies. In most cases, when different species of atoms have different jump rates with vacancies within a net flux of vacancies, the phenomenon of the vacancy-wind effect will occur. This effect was first discovered in the 1960s by the late Dr John Manning. It is a subtle phenomenon that comes about because of the local redistribution of the equilibrium concentration of vacancies with respect to two or more species of drifting atoms in a driving force. The effect is captured in various ‘vacancy-wind factors’ (some of which are now sometimes called Manning factors) which formally arise from non-zero off-diagonal Onsager phenomenological transport coefficients and non-unity values of the tracer correlation factors. In this paper, the effect is reviewed and discussed.

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A female perspective: testing the effects of noise masking on signal transmission patterns inside the nest box

Behaviour ◽

10.1163/1568539x-00003581 ◽

2019 ◽

Vol 157 (1) ◽

pp. 59-76 ◽

Cited By ~ 2

Author(s):

Erin E. Grabarczyk ◽

Sharon A. Gill

Keyword(s):

Cross Correlation ◽

Signal Transmission ◽

Measured Signal ◽

Signal To Noise ◽

House Wren ◽

Noise Masking ◽

Nest Boxes ◽

Cavity Nesting ◽

Song Transmission ◽

Correlation Factors

Abstract During the breeding season, avian pairs coordinate interactions with songs and calls. For cavity nesting birds, females inside nest boxes may rely on male vocalizations for information. Anthropogenic noise masks male songs, which could affect information gained by females. We explored song transmission from a female house wren (Troglodytes aedon) perspective, testing the hypothesis that noise masking alters songs that reach females inside nest boxes. We broadcast songs at three distances up to 25 m from nest boxes and re-recorded songs using two microphones, positioned inside and outside nest boxes. We measured signal-to-noise ratios and cross-correlation factors to estimate the effects of masking on transmission. In noise, songs received inside nest boxes had lower signal-to-noise ratios and cross-correlation factors than songs recorded outside of boxes, and these effects decreased with distance. For females, noise may reduce information conveyed through male songs and in response pairs may need to adjust their interactions.

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Interdiffusion Data in Multicomponent Alloys as a Source of Quantitative Fundamental Diffusion Information

Defect and Diffusion Forum ◽

10.4028/www.scientific.net/ddf.263.1 ◽

2007 ◽

Vol 263 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Irina V. Belova ◽

Graeme E. Murch

Keyword(s):

Diffusion Processes ◽

Chemical Diffusion ◽

Tracer Diffusion ◽

Ternary Alloys ◽

Diffusion Data ◽

Fundamental Information ◽

Random Alloy ◽

Phenomenological Coefficients ◽

Correlation Factors ◽

Alloy Systems

Tracer diffusion experiments have historically furnished much of the information about fundamental diffusion processes as embodied in such quantities as tracer correlation factors and vacancy-atom exchange frequencies. As tracer diffusion experiments using radiotracers are rather less often performed nowadays, it is important to be able to process other diffusion data to provide similar fundamental information. New procedures that are primarily based around the random alloy model have been established recently for analyzing chemical diffusion data in binary and ternary alloy systems. These procedures are reviewed here. First, we review the random alloy model, the Sum-rule relating the phenomenological coefficients and three diffusion kinetics formalisms making use of the random alloy. Next, we show how atom-vacancy exchange frequency ratios and then component tracer correlation factors can be extracted from chemical diffusion data in alloy systems. Examples are taken from intrinsic diffusion and interdiffusion data in a number of binary and ternary alloys.

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