Anomaly induced QCD potential and Quark Decoupling

We explore the anomaly induced effective QCD meson potential in the framework of the effective Lagrangian approach. We suggest a decoupling procedure, when a flavored quark becomes massive, which mimics the one employed by Seiberg for supersymmetric gauge theories. It is seen that, after decoupling, the QCD potential naturally converts to the one with one less flavor. We study the $N_c$ and $N_f$ dependence of the $\eta^{\prime}$ mass.Comment: 11 pages, RevTe

Changes of Forages Fed to Dairy Cows in the Whole Year in Taiwan

Objectives of this study were to determine the kinds and the percents of forages fed to dairy cows in the whole year. Data were taken weekly by the dairy farmers for one year, including kinds and weights of forages fed to dairy cows, the heads of milking cows, dry cows and heifers. Dairy farmer A used napiergrass (Pennisetum purpureum) green chop 68.2%, napiergrass silage 15.3%, pangolagrass (Digitaria decumbens) hay 3.2% and imported bermudagrass (Cynodon dactylon) hay 13.3% to feed cows. Dairy farmer B fed cows with napiergrass green chop 65.1%, pangolagrass 13.0% and imported hays 21.9%, i.e., bermudagrass, alfalfa (Medicago sativa), redtop (Agrostis giantea), oat (Avena sativa) and ryegrass (Lolium perenne). Dairy farmer C fed dairy cows on corn (Zea mays) silage 24.0% and green chop 33.5%, pangolagrass hay 9.1% and imported hays 33.4%, i.e., bermudagrass, alfalfa and timothy (Phleum pratense). Dairy farmer D purchased total mixed ration 58.6% to feed cows. The other forages were corn green chop 14.0%, bermudagrass hay 11.6% and timothy hay 8.6%. Dairy farmer E used corn silage 38.7%, pangolagrass hay 36.5% and hayladge 8.1%, alfalfa hay 14.1%, oat hay and agricultural by-product to feed cows. The forages could be provided steadily when forage crops grew vigorously from April to November. Forage yield decreased after November. Thus, the forages were not available enough to feed cows and the imported hays increased. It was suggested that dairy farmers might make hay or silage during forage growth seasons to keep forages available enough in the whole year

Liquid sloshing in elastic containers

Coupled oscillations of elastic container partially filled with incompressible liqui

Reversible Embedding to Covers Full of Boundaries

In reversible data embedding, to avoid overflow and underflow problem, before data embedding, boundary pixels are recorded as side information, which may be losslessly compressed. The existing algorithms often assume that a natural image has little boundary pixels so that the size of side information is small. Accordingly, a relatively high pure payload could be achieved. However, there actually may exist a lot of boundary pixels in a natural image, implying that, the size of side information could be very large. Therefore, when to directly use the existing algorithms, the pure embedding capacity may be not sufficient. In order to address this problem, in this paper, we present a new and efficient framework to reversible data embedding in images that have lots of boundary pixels. The core idea is to losslessly preprocess boundary pixels so that it can significantly reduce the side information. Experimental results have shown the superiority and applicability of our work

The Determinants of Price in Online Auctions: More Evidence from Quantile Regression

This study explores how seller reputations affect auction prices, and concludes that earlier findings may be biased due to the misspecification of seller reputation. This paper contributes to the literature by offering significant empirical evidence using Taiwanese Internet auction data. Our study reveals that the influence of seller reputations on auction prices is significant, irrespective of the assumptions of linear and non-linear relationships with price. However, failure to consider the non-linear setting of seller reputation would have led us to overestimate the impact of reputations on prices because marginal returns to an incremental increase in reputation declines rapidly for sellers who have more than 15 scores. In addition, using quantile regression, this study finds evidence of considerable differences in their impact on auction prices dependent on the distribution of price levels

An experimental study on Γ\Gamma(2) modular symmetry in the quantum Hall system with a small spin-splitting

Magnetic-field-induced phase transitions were studied with a two-dimensional electron AlGaAs/GaAs system. The temperature-driven flow diagram shows the features of the $\Gamma$(2) modular symmetry, which includes distorted flowlines and shiftted critical point. The deviation of the critical conductivities is attributed to a small but resolved spin splitting, which reduces the symmetry in Landau quantization. [B. P. Dolan, Phys. Rev. B 62, 10278.] Universal scaling is found under the reduction of the modular symmetry. It is also shown that the Hall conductivity could still be governed by the scaling law when the semicircle law and the scaling on the longitudinal conductivity are invalid. *corresponding author:[email protected]: The revised manuscript has been published in J. Phys.: Condens. Matte

Average-Case Optimal Approximate Circular String Matching

Approximate string matching is the problem of finding all factors of a text t of length n that are at a distance at most k from a pattern x of length m. Approximate circular string matching is the problem of finding all factors of t that are at a distance at most k from x or from any of its rotations. In this article, we present a new algorithm for approximate circular string matching under the edit distance model with optimal average-case search time O(n(k + log m)/m). Optimal average-case search time can also be achieved by the algorithms for multiple approximate string matching (Fredriksson and Navarro, 2004) using x and its rotations as the set of multiple patterns. Here we reduce the preprocessing time and space requirements compared to that approach