Regularity scalable image coding based on wavelet singularity detection

In this paper, we propose an adaptive algorithm for scalable wavelet image coding, which is based on the general feature, the regularity, of images. In pattern recognition or computer vision, regularity of images is estimated from the oriented wavelet coefficients and quantified by the Lipschitz exponents. To estimate the Lipschitz exponents, evaluating the interscale evolution of the wavelet transform modulus sum (WTMS) over the directional cone of influence was proven to be a better approach than tracing the wavelet transform modulus maxima (WTMM). This is because the irregular sampling nature of the WTMM complicates the reconstruction process. Moreover, examples were found to show that the WTMM representation cannot uniquely characterize a signal. It implies that the reconstruction of signal from its WTMM may not be consistently stable. Furthermore, the WTMM approach requires much more computational effort. Therefore, we use the WTMS approach to estimate the regularity of images from the separable wavelet transformed coefficients. Since we do not concern about the localization issue, we allow the decimation to occur when we evaluate the interscale evolution. After the regularity is estimated, this information is utilized in our proposed adaptive regularity scalable wavelet image coding algorithm. This algorithm can be simply embedded into any wavelet image coders, so it is compatible with the existing scalable coding techniques, such as the resolution scalable and signal-to-noise ratio (SNR) scalable coding techniques, without changing the bitstream format, but provides more scalable levels with higher peak signal-to-noise ratios (PSNRs) and lower bit rates. In comparison to the other feature-based wavelet scalable coding algorithms, the proposed algorithm outperforms them in terms of visual perception, computational complexity and coding efficienc

Quantum Size Effects on the Chemical Sensing Performance of Two-Dimensional Semiconductors

We investigate the role of quantum confinement on the performance of gas sensors based on two-dimensional InAs membranes. Pd-decorated InAs membranes configured as H2 sensors are shown to exhibit strong thickness dependence, with ~100x enhancement in the sensor response as the thickness is reduced from 48 to 8 nm. Through detailed experiments and modeling, the thickness scaling trend is attributed to the quantization of electrons which favorably alters both the position and the transport properties of charge carriers; thus making them more susceptible to surface phenomena

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

Objective measurement of two clinical signs in childhood atopic eczema in research and therapeutics

Background: Atopic dermatitis (AD) or eczema is an inflammatory skin disease associated with significant impairment of quality of life. It is important to objectively quantify cutaneous biophysical measurements in research and therapeutics of this disease. Objective: To evaluate if skin redness (erythema) and pigmentation (melanin) correlate with disease severity and quality of life. Methods: Redness and pigmentation were measured under standardized condition at the antecubital flexure. Nottingham Eczema Severity Score (NESS) and Children’s Dermatology Life Quality Index (CDLQI) were documented. Results: Pigmentation correlated with age (r = 0.38, p = 0.02), but not with disease severity (NESS) or quality of life (CDLQI). Erythema correlated with age (r = 0.53, p = 0.001), NESS (r = 0.44, p = 0.006), pigmentation (r = 0.62, p< 0.0001), but not CDLQI (r = 0.3, trend p = 0.087). Conclusions: Skin erythema and pigmentation increase with age. Erythema correlates with disease severity but pigmentation correlates with neither severity nor quality-of-life score. The objective measurement of these two signs does not replace the clinical measurements of severity and quality of life, and may be of limited scope in eczema research and therapeutics

Short-Fragment DNA Residue from Vaccine Purification Processes Promotes Immune Response to the New Inactivated EV71 Vaccine by Upregulating TLR9 mRNA.

To reduce potential oncogenic long genomic DNA in vaccines, nuclease treatment has been applied in the purification processes. However, this action increased the residue of short-fragment DNA and its effect on vaccine potency was still elusive. In this study, we found residual sf-DNA in an inactivated EV71 vaccine could enhance humoral immune response in mice. Ag stimulation in vitro and vaccine injection in vivo revealed that TLR9 transcription level was elevated, indicating that sf-DNA could activate TLR9. These new findings will help us to understand the molecular mechanism induced by vero-cell culture-derived vaccines

Childhood asthma is associated with polymorphic markers of PROC on 2q14 in addition to 17q21 locus

Background: Childhood asthma is caused by both genetic and environmental factors. The first genomewide association study (GWAS) for asthma revealed putative candidates on nine chromosomal regions in Caucasians, with 17q21 locus being the most widely replicated one. However, there was no replication study for the other loci. This study investigated genetic associations between childhood asthma and autosomal single nucleotide polymorphisms (SNPs) on eight loci reported in the first GWAS among Hong Kong Chinese. Methods: 510 asthmatic children and 510 non-allergic controls were recruited. 110 tagging SNPs selected based on r2 ≥ 0.80 and minor allele frequency ≥0.05 for Han Chinese among all SNPs located 50-kb upstream and downstream of significant autosomal SNPs were genotyped by TaqMan allelic discrimination assays. Transcription factor binding of SNPs was determined by electrophoretic mobility shift assay (EMSA). Results: Asthma was significantly associated with SNPs on 17q21 and 2q14 loci. Twelve SNPs on 17q21 were associated with asthma, with rs6503527 being the most significant SNP. Five SNPs of protein C gene (PROC) on 2q14 were associated with asthma, with rs6755028 being the most significant SNP. Plasma protein C concentrations were higher in asthmatic patients than controls, and five PROC SNPs were associated with plasma protein C concentrations. EMSA showed specific differential binding of rs878461 to nuclear extracts from bronchial epithelial and hepatocarcinoma cell lines. Conclusions: Our findings identify PROC on 2q14 as a novel candidate for childhood asthma and replicate the genetic association for 17q21 locus. Rs878461 of PROC may increase asthma susceptibility by altering transcription factor binding