SU-E-T-691: On the Use of Multiple Beam Angles to Minimize the Impact of High Density Fiducial Markers in the Prostate Proton Radiotherapy

2011 ◽  
Vol 38 (6Part21) ◽  
pp. 3649-3649 ◽  
Author(s):  
M Zhang ◽  
X Mo ◽  
L Levinson ◽  
S Goyal ◽  
N Yue
Keyword(s):  
High Density ◽  
Fiducial Markers ◽  
Proton Radiotherapy ◽  
Multiple Beam ◽  
The Impact

Evaluation of the Aging Behavior of High Density Polyethylene in Thermal Oxidative Environment by Principal Component Analysis

2017 ◽  
Vol 727 ◽  
pp. 447-449 ◽  
Author(s):  
Jun Dai ◽  
Hua Yan ◽  
Jian Jian Yang ◽  
Jun Jun Guo
Keyword(s):  
Principal Component Analysis ◽  
Impact Strength ◽  
High Density Polyethylene ◽  
Tensile Modulus ◽  
Principal Component ◽  
Component Analysis ◽  
High Density ◽  
Aging Behavior ◽  
Data Set ◽  
The Impact

To evaluate the aging behavior of high density polyethylene (HDPE) under an artificial accelerated environment, principal component analysis (PCA) was used to establish a non-dimensional expression Z from a data set of multiple degradation parameters of HDPE. In this study, HDPE samples were exposed to the accelerated thermal oxidative environment for different time intervals up to 64 days. The results showed that the combined evaluating parameter Z was characterized by three-stage changes. The combined evaluating parameter Z increased quickly in the first 16 days of exposure and then leveled off. After 40 days, it began to increase again. Among the 10 degradation parameters, branching degree, carbonyl index and hydroxyl index are strongly associated. The tensile modulus is highly correlated with the impact strength. The tensile strength, tensile modulus and impact strength are negatively correlated with the crystallinity.

scholarly journals High-Density Lipoproteins and the Kidney

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 764
Author(s):  
Arianna Strazzella ◽  
Alice Ossoli ◽  
Laura Calabresi
Keyword(s):  
Kidney Disease ◽  
Renal Disease ◽  
Cholesterol Acyltransferase ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
High Density ◽  
High Density Lipoproteins ◽  
Lcat Deficiency ◽  
Progression Of Renal Disease ◽  
The Impact

Dyslipidemia is a typical trait of patients with chronic kidney disease (CKD) and it is typically characterized by reduced high-density lipoprotein (HDL)-cholesterol(c) levels. The low HDL-c concentration is the only lipid alteration associated with the progression of renal disease in mild-to-moderate CKD patients. Plasma HDL levels are not only reduced but also characterized by alterations in composition and structure, which are responsible for the loss of atheroprotective functions, like the ability to promote cholesterol efflux from peripheral cells and antioxidant and anti-inflammatory proprieties. The interconnection between HDL and renal function is confirmed by the fact that genetic HDL defects can lead to kidney disease; in fact, mutations in apoA-I, apoE, apoL, and lecithin–cholesterol acyltransferase (LCAT) are associated with the development of renal damage. Genetic LCAT deficiency is the most emblematic case and represents a unique tool to evaluate the impact of alterations in the HDL system on the progression of renal disease. Lipid abnormalities detected in LCAT-deficient carriers mirror the ones observed in CKD patients, which indeed present an acquired LCAT deficiency. In this context, circulating LCAT levels predict CKD progression in individuals at early stages of renal dysfunction and in the general population. This review summarizes the main alterations of HDL in CKD, focusing on the latest update of acquired and genetic LCAT defects associated with the progression of renal disease.

Investigating the impact of off-nominal events on high-density ‘green’ arrivals

2011 ◽  
Author(s):  
Todd J. Callantine ◽  
Christopher Cabrall ◽  
Michael Kupfer ◽  
Lynne Martin ◽  
Joey Mercer ◽  
...  
Keyword(s):  
High Density ◽  
The Impact

Effect of inorganic nanofillers on the impact behavior and fracture probability of industrial high-density polyethylene nanocomposite

2017 ◽  
Vol 52 (18) ◽  
pp. 2431-2442 ◽  
Author(s):  
Harun Sepet ◽  
Necmettin Tarakcioglu ◽  
RDK Misra
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
High Density Polyethylene ◽  
Fracture Probability ◽  
High Density ◽  
Impact Behavior ◽  
Inorganic Filler ◽  
Melt Mixing ◽  
The Impact ◽  
Scanning Electron

The main purpose of this work is to study how the morphology of nanofillers and dispersion and distribution level of inorganic nanofiller influence the impact behavior and fracture probability of inorganic filler filled industrial high-density polyethylene nanocomposites. For this study, nanoclay and nano-CaCO3 fillers–high-density polyethylene mixings (0, 1, 3, 5 wt.% high-density polyethylene) was prepared by melt-mixing method using a compounder system. The impact behavior was examined by charpy impact test, scanning electron microscopy, and probability theory and statistics. The level of the dispersion was characterized with scanning electron microscopy energy dispersive X-ray spectroscopy analysis. The results showed rather good dispersion of both of inorganic nanofiller, with a mixture of exfoliated and confined morphology. The results indicated that the impact strength of the industrial nanocomposite decreased with the increase of inorganic particulate content. The impact reliability of the industrial nanocomposites depends on the type of nanofillers and their dispersion and distribution in the matrix.

Computerization and Occupational Change: Assessing the Impact of Automation on Racial and Gender Employment Densities

2021 ◽  
pp. 003464462110552
Author(s):  
Patrick L. Mason
Keyword(s):  
Positive Association ◽  
Racial Group ◽  
High Density ◽  
Economic Effects ◽  
Ethnic Composition ◽  
White Female ◽  
Lower Probability ◽  
Minority Men ◽  
And Gender ◽  
The Impact

The current wave of technological change is driven by automation, the process of using computers to improve the labor process, viz., increasing the quantity and quality of work “by means of computer-controlled equipment.” Automation has had and will continue to have heterogeneous economic effects across alternative social groups—altering racial and gender inequality. This study empirically examines the relationship between the racial and gender density of occupations and the probability of automation of both minor and broad occupations. Regression analysis is used to uncover correlations between future employment change and the current racial and ethnic composition of occupations, alerting us to whether future employment growth will have a negative or positive association with occupations where each racial group of workers is currently concentrated. Increases in automation are correlated with increases in labor income inequality and increases in racial and gender employment differences. Male jobs may suffer more technological unemployment than female jobs. Specifically, within each racial group high density male jobs have a greater probability of automation (and lower probability of future demand) than high density female jobs. High density White female jobs appear to be most complementary to automation, while the high density occupations of racial minority men appear to be least complementary to automation.

Abstract 260: Knockout of Apolipoprotein A-II Has Dramatic Effects on High-Density Lipoprotein Subspecies Distribution

2012 ◽  
Vol 32 (suppl_1) ◽  
Author(s):  
Scott M Gordon ◽  
Catherine A Reardon ◽  
Godfrey S Getz ◽  
W S Davidson
Keyword(s):  
Gel Filtration ◽  
Density Lipoprotein ◽  
High Density ◽  
Paraoxonase 1 ◽  
High Density Lipoproteins ◽  
Ionization Mass ◽  
Associated Proteins ◽  
Compositional Diversity ◽  
The Impact ◽  
Modest Effect

High density lipoproteins (HDL) are a highly heterogeneous population of particles composed of various lipids and proteins. They have been demonstrated to possess a diverse variety of functional properties which are thought to contribute to protection against cardiovascular disease (CVD). Proteomics studies have identified up to 75 different proteins which can associate with HDL. The basis for the compositional diversity of HDL is not known but a better understanding will yield important information about its broad functional diversity. To investigate the impact of common HDL apolipoproteins on the distribution of other apolipoproteins, we have begun to systematically fractionate plasma from various HDL apolipoprotein KO mice. Plasma from apoA-I, apoA-IV and apoA-II global KO mice was applied to gel filtration chromatography to distinguish HDL size populations. HDL particles sequestered by a phospholipid binding resin were proteomically analyzed by electrospray ionization mass spectrometry. By comparing elution volume shifts (i.e. particle size variations) for each HDL protein between WT controls and the KO models, we assessed the impact of the deleted protein on HDL size distributions. Ablation of apoA-I, while decreasing total HDL phospholipid by 70%, had a surprisingly small impact on the distribution of the majority of other HDL associated proteins - affecting only 9 of them. Genetic apoA-IV ablation had a similar modest effect shifting a distinct subset of 9 proteins. However, loss of apoA-II, in addition to causing a similar 70% reduction in overall HDL phospholipids, affected the size distribution of some 45 HDL proteins (including several complement proteins and paraoxonase-1). These data suggest that apoA-I, while associated with the majority of HDL phospholipid, may actually interact with relatively few of the lower abundance proteins known to be associated with HDL. ApoA-II on the other hand, may interact with many of these, perhaps acting as a docking site or adaptor molecule.

scholarly journals The impact of high density receptor clusters on VEGF signaling

2013 ◽  
Vol 125 ◽  
pp. 37-52 ◽  
Author(s):  
Ye Chen ◽  
Christopher Short ◽  
Ádám M. Halász ◽  
Jeremy S. Edwards
Keyword(s):  
High Density ◽  
Vegf Signaling ◽  
Receptor Clusters ◽  
The Impact

The impact of urban form on disaster resiliency

2016 ◽  
Vol 7 (3) ◽  
pp. 259-275 ◽  
Author(s):  
Leila Irajifar ◽  
Neil Sipe ◽  
Tooran Alizadeh
Keyword(s):  
Land Use ◽  
Population Density ◽  
Urban Form ◽  
Disaster Recovery ◽  
Form Factors ◽  
High Density ◽  
Disaster Resilience ◽  
Content Type ◽  
Land Use Mix ◽  
The Impact

Purpose This paper examines the impact of urban form on disaster resiliency. The literature shows a complex relationship between urban form factors such as density and diversity and disaster recovery. The empirical analysis in this paper tests the impact of land use mix, population density, building type and diversity on the reconstruction progress in three, six and nine months after the 2010 flood in Brisbane and Ipswich as proxies of disaster resilience. Considerable debate exists on whether urban form factors are the causal incentive or are they mediating other non-urban form causal factors such as income level. In view of this, the effects of a series of established non-urban form factors such as income and tenure, already known as effective factors on disaster resilience, are controlled in the analysis. Design/methodology/approach The structure of this paper is based on a two-phase research approach. In the first phase, for identification of hypothetical relationships between urban form and disaster resiliency, information was gathered from different sources on the basis of theory and past research findings. Then in phase two, a database was developed to test these hypothetical relationships, employing statistical techniques (including multivariate regression and correlation analysis) in which disaster recovery was compared among 76 suburbs of Brisbane and Ipswich with differing levels of population density and land use mix. Findings The results indicate that population density is positively related to disaster resilience, even when controlling for contextual variables such as income level and home ownership. The association between population density and disaster reconstruction is non-linear. The progress of reconstruction to population density ratio increases from low, medium to high densities, while in very low and very high density areas the reconstruction progress does not show the same behavior, which suggests that medium-high density is the most resilient. Originality/value The originality of this paper is in extracting hypothetical relationships between urban form and resiliency and testing them with real world data. The results confirmed the contribution of density to recovery process in this case study. This illustrates the importance of attention to disaster resiliency measures from the early stages of design and planning in development of resilient urban communities.

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