We present a detection of the splashback feature around galaxy clusters selected using the Sunyaev-Zel'dovich (SZ) signal. Recent measurements of the splashback feature around optically selected ...galaxy clusters have found that the splashback radius, rsp, is smaller than predicted by N-body simulations. A possible explanation for this discrepancy is that rsp inferred from the observed radial distribution of galaxies is affected by selection effects related to the optical cluster-finding algorithms. We test this possibility by measuring the splashback feature in clusters selected via the SZ effect in data from the South Pole Telescope SZ survey and the Atacama Cosmology Telescope Polarimeter survey. The measurement is accomplished by correlating these cluster samples with galaxies detected in the Dark Energy Survey Year 3 data. The SZ observable used to select clusters in this analysis is expected to have a tighter correlation with halo mass and to be more immune to projection effects and aperture-induced biases, potentially ameliorating causes of systematic error for optically selected clusters. We find that the measured rsp for SZ-selected clusters is consistent with the expectations from simulations, although the small number of SZ-selected clusters makes a precise comparison difficult. In agreement with previous work, when using optically selected redMaPPer clusters with similar mass and redshift distributions, rsp is ~2σ smaller than in the simulations. These results motivate detailed investigations of selection biases in optically selected cluster catalogues and exploration of the splashback feature around larger samples of SZ-selected clusters. Additionally, we investigate trends in the galaxy profile and splashback feature as a function of galaxy colour, finding that blue galaxies have profiles close to a power law with no discernible splashback feature, which is consistent with them being on their first infall into the cluster.
To determine the safety and effectiveness of insulin detemir (IDet) in type 2 diabetes patients from the ASEAN cohort of the A1chieve study.
Patients from Indonesia, Malaysia, Philippines and ...Singapore prescribed IDet at the discretion of their physicians were included. The primary outcome was the incidence of serious adverse drug reactions including major hypoglycaemia over 24 weeks. Secondary endpoints included changes in the frequency of hypoglycaemia, serious adverse events and effectiveness assessments.
This sub-analysis included 1540 patients (insulin-naive, 1239; insulin-experienced, 301) with mean age ± SD 56.4±10.9 years, BMI 25.4±4.6kg/m2 and diabetes duration 6.9±5.3 years. Insulin-naive patients received a baseline IDet dose of 0.24±0.11U/kg titrated up to 0.37±0.21 U/kg by Week 24. The pre-study insulin dose in insulin-experienced patients was 0.41±0.25 U/kg and baseline IDet dose was 0.31±0.24U/kg titrated up to 0.40±0.20 U/kg by Week 24. Overall hypoglycaemia decreased from 1.73 to 0.46 events/patient-year from baseline to Week 24 (change in proportion of patients affected, p < 0.0001). At Week 24, 1 major hypoglycaemic event was reported in 1 insulin-experienced patient. IDet significantly improved glucose control (p < 0.001) at Week 24. The lipid profile and systolic blood pressure improved (p < 0.001) and body weight did not change significantly. Quality of life was positively impacted (p < 0.001).
IDet was well-tolerated and improved glycaemic control without increasing the risk of hypoglycaemia or weight gain.
Human detection in images is a fast growing and challenging area of research in computer vision with its main application in video surveillance, robotics, intelligent vehicle, image retrieval, ...defense, entertainment, behavior analysis, tracking, forensic science, medicalscience and intelligent transportation. This paper presents a robust multi-posture human detection system in images based on local feature descriptors such as HOG and BO (Block Orientation). The proposed system employs LLE method to achieve dimensionality reduction on the Hog feature descriptors and thus reduce time complexity. Performance of the proposed method is evaluated using feature and classifier based schemes with different datasets. By using classifier based schemes, fast-additive SVM outperforms other SVM classifiers. The combined feature vector can retain precision of HOG as well as improve the detection rate. The experiment results on INRIA person, SDL dataset, and TUDBrussels dataset demonstrate that combined feature vector along with LLE and fast additive SVM significantly improves the performance.
We report measurement of depolarization of light on propagation through matched scattering samples having the same anisotropy parameter (
g) and optical thickness (
τ=
μ
s×
d,
d being the physical ...thickness) but different values for scattering coefficient (
μ
s). Significant differences were observed in the depolarization behavior of the samples so matched. The depolarization of both linear and circularly polarized light was always larger for the sample with higher value of
μ
s. Further, for lower value of
g (
g∼0.1), the difference in depolarization between matched samples was larger for circularly polarized light than that for linearly polarized light. Exactly the opposite result was obtained for matched samples with larger
g values (
g∼0.9). We show that these differences in the depolarization behavior of matched samples are dependent on the collection geometry and arise because for a given collection angle, a greater fraction of multiply scattered photons are collected for the sample having higher
μ
s.
'Flowering relations' between India and China in the early 1950s were based on peaceful co-existence. But these withered and faded in an atmosphere of mutual hostility following the 1962 war between ...the two countries. A new phase of improved ties began with Indian Prime Minister Rajiv Gandhi's visit to China in December 1988, resulting in the setting up of a Joint Working Group to defuse tension and ensure peace and tranquillity on the borders. Since the end of the Cold War and the demise of the Soviet Union, India-China relations have not only steadily improved, but have strengthened in diverse fields of mutual interest. Apart from this, the contentious boundary issue has registered substantial progress, although uncertainty looms large as to when it will be finally resolved. Despite divergences in the perceptions and approaches of New Delhi and Beijing on issues such as Sino-Pakistani military and strategic ties and India's Tibet policy, both countries have enormous potential and opportunities to expand and deepen their economic and trade ties in their mutual interest. Emerging trends indicate that both India and China would remain highly competitive in the global and regional trade and economic domain, and would continue to compete for status and influence in the Asian region in general, and in South Asia in particular.
We report UV-light-induced photodegradation of N,N’-diphenyl-N,N’-bis(3-methylphenyl)-1,1’-biphenyl-4,4’ diamine (TPD) dye. When a halomethane solution of TPD is exposed to UV light it first oxidizes ...TPD and subsequently with further exposure leads to irreversible transformation of TPD to an acridine derivative as photoproduct. Exclusive use of halomethane solvents like chloroform and dichloromethane suggests solvent radical initiated photochemical transformation of TPD to a stable acridine-based photoproduct. The resultant photoproduct of TPD showed broad-band dual (both blue and green) emissions in various solvents and also from the sublimed thin film. Based on solvent- and concentration-dependent photoluminescence (PL) of the photoproduct, PL excitation and lifetimes of blue and green bands, the origin of emission in the green region is due to an intermolecular excimer/aggregate of acridine-based photoproduct. A film of acridine-based photoproduct dispersed in polystyrene also showed substantial improvement in electrical conductivity compared to the parent compound TPD. The technique of UV-light-induced molecule structure transformation and material processing under specific environmental conditions may be considered as an efficient means of obtaining materials with enhanced optoelectronic properties.
We apply support vector learning to attributed graphs where the kernel matrices are based on approximations of the Schur–Hadamard inner product. The evaluation of the Schur–Hadamard inner product for ...a pair of graphs requires the determination of an optimal match between their nodes and edges. It is therefore efficiently approximated by means of recurrent neural networks. The optimal mapping involved allows a direct understanding of the similarity or dissimilarity of the two graphs considered. We present and discuss experimental results of different classifiers constructed by a
SVM operating on positive semi-definite (
psd) and non-
psd kernel matrices.
We present a neural network approach to solve exact and inexact graph isomorphism problems for weighted graphs. In contrast to other neural heuristics or related methods this approach is based on a ...neural refinement procedure to reduce the search space followed by an energy-minimizing matching process. Experiments on random weighted graphs in the range of 100–5000 vertices and on chemical molecular structures are presented and discussed.
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