27,943 research outputs found
Exploring metabolic dysfunction in chronic kidney disease
Abstract
Impaired kidney function and chronic kidney disease (CKD) leading to kidney failure and end-stage renal disease
(ESRD) is a serious medical condition associated with increased morbidity, mortality, and in particular cardiovascular
disease (CVD) risk. CKD is associated with multiple physiological and metabolic disturbances, including hypertension,
dyslipidemia and the anorexia-cachexia syndrome which are linked to poor outcomes. Specific hormonal,
inflammatory, and nutritional-metabolic factors may play key roles in CKD development and pathogenesis. These
include raised proinflammatory cytokines, such as interleukin-1 and −6, tumor necrosis factor, altered hepatic acute
phase proteins, including reduced albumin, increased C-reactive protein, and perturbations in normal anabolic
hormone responses with reduced growth hormone-insulin-like growth factor-1 axis activity. Others include
hyperactivation of the renin-angiotensin aldosterone system (RAAS), with angiotensin II and aldosterone implicated
in hypertension and the promotion of insulin resistance, and subsequent pharmacological blockade shown to
improve blood pressure, metabolic control and offer reno-protective effects. Abnormal adipocytokine levels
including leptin and adiponectin may further promote the insulin resistant, and proinflammatory state in CKD.
Ghrelin may be also implicated and controversial studies suggest activities may be reduced in human CKD, and
may provide a rationale for administration of acyl-ghrelin. Poor vitamin D status has also been associated with
patient outcome and CVD risk and may indicate a role for supplementation. Glucocorticoid activities traditionally
known for their involvement in the pathogenesis of a number of disease states are increased and may be
implicated in CKD-associated hypertension, insulin resistance, diabetes risk and cachexia, both directly and indirectly
through effects on other systems including activation of the mineralcorticoid receptor. Insight into the multiple
factors altered in CKD may provide useful information on disease pathogenesis, clinical assessment and treatment
rationale such as potential pharmacological, nutritional and exercise therapies
Constant-Factor Approximation for TSP with Disks
We revisit the traveling salesman problem with neighborhoods (TSPN) and
present the first constant-ratio approximation for disks in the plane: Given a
set of disks in the plane, a TSP tour whose length is at most times
the optimal can be computed in time that is polynomial in . Our result is
the first constant-ratio approximation for a class of planar convex bodies of
arbitrary size and arbitrary intersections. In order to achieve a
-approximation, we reduce the traveling salesman problem with disks, up
to constant factors, to a minimum weight hitting set problem in a geometric
hypergraph. The connection between TSPN and hitting sets in geometric
hypergraphs, established here, is likely to have future applications.Comment: 14 pages, 3 figure
On the number of tetrahedra with minimum, unit, and distinct volumes in three-space
We formulate and give partial answers to several combinatorial problems on
volumes of simplices determined by points in 3-space, and in general in
dimensions. (i) The number of tetrahedra of minimum (nonzero) volume spanned by
points in \RR^3 is at most , and there are point sets
for which this number is . We also present an time
algorithm for reporting all tetrahedra of minimum nonzero volume, and thereby
extend an algorithm of Edelsbrunner, O'Rourke, and Seidel. In general, for
every k,d\in \NN, , the maximum number of -dimensional
simplices of minimum (nonzero) volume spanned by points in \RR^d is
. (ii) The number of unit-volume tetrahedra determined by
points in \RR^3 is , and there are point sets for which this
number is . (iii) For every d\in \NN, the minimum
number of distinct volumes of all full-dimensional simplices determined by
points in \RR^d, not all on a hyperplane, is .Comment: 19 pages, 3 figures, a preliminary version has appeard in proceedings
of the ACM-SIAM Symposium on Discrete Algorithms, 200
Explosive Collisions at RHIC?
Motivated by experimental results from RHIC, we suggest how a condensate for
the Polyakov loop might produce explosive behavior at the QCD phase transition.
This is due to a rapid rollover of the condensate field below the transition
temperature
Development and characterisation of an easily configurable range imaging system
Range imaging is becoming a popular tool for many applications, with several commercial variants now available. These systems find numerous real world applications such as interactive gaming and the automotive industry. This paper describes the development of a range imaging system employing the PMD-19 k sensor from PMD technologies. One specific advantage of our system is that it is extremely customisable in terms of modulation patterns to act as a platform for further research into time-of-flight range imaging. Experimental results are presented giving an indication of the precision and accuracy of the system, and how modifying certain operating parameters can improve system performance
Maximizing precision over extended unambiguous range for TOF range imaging systems
The maximum unambiguous range for time-of-flight range imaging systems is inversely proportional to the chosen modulation frequency. However, increasing the unambiguous range by decreasing the modulation frequency will generally also degrade the range measurement precision. We describe a technique that significantly extends the range of a time-of-flight imaging system without compromising range precision. This is achieved by employing two modulation frequencies simultaneously. The chosen frequencies can be a combination of high and low frequency, or two similarly high frequencies. In this paper we present experimental results comparing single frequency; dual high and low frequency; and dual high frequency operation and demonstrate that range precision need not be appreciably compromised to achieve an extended unambiguous range
Heterodyne range imaging in real-time
A versatile full-field range imaging system has previously been constructed. This system is configurable in software to produce either high precision or fast acquisition range images. Indicatively a 10 second exposure has been shown to produce a range image of sub-millimeter precision, whilst video frame rate (30 fps) acquisition provides for centimetre precision. Currently the acquisition time of the system is to a large degree constrained by the off-line processing of the frames by an external computer. This paper presents an alternative to the off-line PC image processing utilising an Altera Stratix II FPGA. Processing rates up to 30 frames per second have been achieved with the added advantage that many of the previous systempsilas existing digital electronics can also be accommodated, providing for an even more compact and flexible system
Atlas models of equity markets
Atlas-type models are constant-parameter models of uncorrelated stocks for
equity markets with a stable capital distribution, in which the growth rates
and variances depend on rank. The simplest such model assigns the same,
constant variance to all stocks; zero rate of growth to all stocks but the
smallest; and positive growth rate to the smallest, the Atlas stock. In this
paper we study the basic properties of this class of models, as well as the
behavior of various portfolios in their midst. Of particular interest are
portfolios that do not contain the Atlas stock.Comment: Published at http://dx.doi.org/10.1214/105051605000000449 in the
Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute
of Mathematical Statistics (http://www.imstat.org
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