Waves in the Skyrme--Faddeev model and integrable reductions

In the present article we show that the Skyrme--Faddeev model possesses nonlinear wave solutions, which can be expressed in terms of elliptic functions. The Whitham averaging method has been exploited in order to describe slow deformation of periodic wave states, leading to a quasi-linear system. The reduction to general hydrodynamic systems have been considered and it is compared with other integrable reductions of the system.Comment: 16 pages, 5 figure

Motion estimation and CABAC VLSI co-processors for real-time high-quality H.264/AVC video coding

Real-time and high-quality video coding is gaining a wide interest in the research and industrial community for different applications. H.264/AVC, a recent standard for high performance video coding, can be successfully exploited in several scenarios including digital video broadcasting, high-definition TV and DVD-based systems, which require to sustain up to tens of Mbits/s. To that purpose this paper proposes optimized architectures for H.264/AVC most critical tasks, Motion estimation and context adaptive binary arithmetic coding. Post synthesis results on sub-micron CMOS standard-cells technologies show that the proposed architectures can actually process in real-time 720 × 480 video sequences at 30 frames/s and grant more than 50 Mbits/s. The achieved circuit complexity and power consumption budgets are suitable for their integration in complex VLSI multimedia systems based either on AHB bus centric on-chip communication system or on novel Network-on-Chip (NoC) infrastructures for MPSoC (Multi-Processor System on Chip

Non-recursive max* operator with reduced implementation complexity for turbo decoding

In this study, the authors deal with the problem of how to effectively approximate the max?? operator when having n > 2 input values, with the aim of reducing implementation complexity of conventional Log-MAP turbo decoders. They show that, contrary to previous approaches, it is not necessary to apply the max?? operator recursively over pairs of values. Instead, a simple, yet effective, solution for the max?? operator is revealed having the advantage of being in non-recursive form and thus, requiring less computational effort. Hardware synthesis results for practical turbo decoders have shown implementation savings for the proposed method against the most recent published efficient turbo decoding algorithms by providing near optimal bit error rate (BER) performance

Magnetic resonance tumor regression grade (MR-TRG) to assess pathological complete response following neoadjuvant radiochemotherapy in locally advanced rectal cancer

This study aims to evaluate the feasibility of a magnetic resonance (MR) automatic method for quantitative assessment of the percentage of fibrosis developed within locally advanced rectal cancers (LARC) after neoadjuvant radiochemotherapy (RCT). A total of 65 patients were enrolled in the study and MR studies were performed on 3.0 Tesla scanner; patients were followed-up for 30 months. The percentage of fibrosis was quantified on T2-weighted images, using automatic K-Means clustering algorithm. According to the percentage of fibrosis, an optimal cut-off point for separating patients into favorable and unfavorable pathologic response groups was identified by ROC analysis and tumor regression grade (MR-TRG) classes were determined and compared to histopathologic TRG. An optimal cut-off point of 81% of fibrosis was identified to differentiate between favorable and unfavorable pathologic response groups resulting in a sensitivity of 78.26% and a specificity of 97.62% for the identification of complete responders (CRs). Interobserver agreement was good (0.85). The agreement between P-TRG and MR-TRG was excellent (0.923). Significant differences in terms of overall survival (OS) and disease free survival (DFS) were found between favorable and unfavorable pathologic response groups. The automatic quantification of fibrosis determined by MR is feasible and reproducible

A statnet Tutorial

The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the functionality of statnet through a tutorial analysis of a friendship network of 1,461 adolescents.

ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks

We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and inter-related, tasks involving exponential-family random graph models (ERGMs): estimation, simulation, and goodness of fit. More precisely, ergm has the capability of approximating a maximum likelihood estimator for an ERGM given a network data set; simulating new network data sets from a fitted ERGM using Markov chain Monte Carlo; and assessing how well a fitted ERGM does at capturing characteristics of a particular network data set.

Stabilitas Hasil dan Adaptabilitas Genotipe Jagung Hibrida Toleran Kekeringan Menggunakan Metode Additive Main Effect Multiplicative Interaction (Ammi)

INDONESIA Provinsi Papua memiliki potensi lahan pertanian cukup luas yang tersebar di 20 kabupaten. Sentra pengembangan pertanian khususnya komoditi jagung banyak dibudidayakan di lahan dataran rendah beriklim kering di kabupaten Keerom, Jayapura dan Merauke. Komoditi jagung hibrida banyak diusahakan pada agroekosistem yang beragam sehingga diperlukan varietas yang dapat beradaptasi luas pada berbagai lingkungan. Penelitian bertujuan untuk menilai stabilitas hasil dan adaptabilitas 9 galur harapan jagung hibrida dan 3 varietas pembanding di 3 lokasi di Papua. Penelitian dilaksanakan mulai April - September 2010 di 3 sentra produksi jagung yaitu Kabupaten Jayapura (Nimbokrang), Kabupaten Keerom (Arso) dan Kota Jayapura (Koya Barat). Penelitian menggunakan Rancangan Acak Kelompok disetiap lokasi percobaan dengan 12 perlakuan, dan setiap perlakuan diulang 3 kali. Selanjutnya dianalisis menggunakanadditive main effects and multiplicative interaction (AMMI) untuk mengetahui stabilitas hasil dan adaptabilitas setiap galur. Bahan penelitian terdiri atas 9 galur harapan jagung hibrida yaitu G1001, G1002, G1003, G1004, G1005, G1006, G1007, G1008, G1009, dan 3 varietas pembanding yaitu Makmur 4, AS1, dan Bima 4. Setiap galur ditanam pada petak berukuran 3,75 m x 4 m, dengan jarak tanam 75 cm x 45 cm dan 1 tanaman Perumpun. Stabilitas dan adaptabilitas galur-galur yang diuji dihitung dengan metode analisis AMMI. Hasil penelitian menunjukkan bahwa, kisaran hasil 9 galur yang diuji adalah 4.00 – 7.44 t/ha dengan rataan 5.86 t/ha. Hasil tertinggi dimiliki galur G1006 (7.44 t/ha). Hasil analisis gabungan memperlihatkan bahwa, lokasi, galur dan interaksinya sangat nyata untuk hasil biji. Penggunaan model AMMI menunjukan bahwa Galur G1002, G1003, G1008 dan Galur G1009 teridentifikasi sebagai galur stabil pada tiga lokasi uji (beradaptasi luas). Galur G1006 beradaptasi spesifik untuk lokasi Arso, G1005 spesifik untuk lokasi Nimbokrang dan galur G1007 untuk spesifik lokasi Koya Barat, dan Galur G1009 berpeluang diusulkan sebagai varietas unggul jagung hibrida berdaya hasil tinggi.INGGRI

statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data

statnet is a suite of software packages for statistical network analysis. The packages implement recent advances in network modeling based on exponential-family random graph models (ERGM). The components of the package provide a comprehensive framework for ERGM-based network modeling, including tools for model estimation, model evaluation, model-based network simulation, and network visualization. This broad functionality is powered by a central Markov chain Monte Carlo (MCMC) algorithm. The coding is optimized for speed and robustness.

Small x divergences in the Similarity RG approach to LF QCD

We study small x divergences in boost invariant similarity renormalization group approach to light-front QCD in a heavy quark-antiquark state. With the boost invariance maintained, the infrared divergences do not cancel out in the physical states, contrary to previous studies where boost invariance was violated by a choice of a renormalization scale. This may be an indication that the zero mode, or nontrivial light-cone vacuum structure, might be important for recovering full Lorentz invariance.Comment: 23 pgs, 1 fig. Revised for publication: typos corrected, improved discussion of regularizatio