A robust adaptive wavelet-based method for classification of meningioma histology images

Intra-class variability in the texture of samples is an important problem in the domain of histological image classification. This issue is inherent to the field due to the high complexity of histology image data. A technique that provides good results in one trial may fail in another when the test and training data are changed and therefore, the technique needs to be adapted for intra-class texture variation. In this paper, we present a novel wavelet based multiresolution analysis approach to meningioma subtype classification in response to the challenge of data variation.We analyze the stability of Adaptive Discriminant Wavelet Packet Transform (ADWPT) and present a solution to the issue of variation in the ADWPT decomposition when texture in data changes. A feature selection approach is proposed that provides high classification accuracy

Sharpening the A→Z(∗)hA\to Z^{(*)}h Signature of the Type-II 2HDM at the LHC through Advanced Machine Learning

The $A\to Z^{(*)}h$ decay signature has been highlighted as possibly being the first testable probe of the Standard Model (SM) Higgs boson discovered in 2012 ($h$) interacting with Higgs companion states, such as those existing in a 2-Higgs Doublet Model (2HDM), chiefly, a CP-odd one ($A$). The production mechanism of the latter at the Large Hadron Collider (LHC) takes place via $b\bar b$-annihilation and/or $gg$-fusion, depending on the 2HDM parameters, in turn dictated by the Yukawa structure of this Beyond the SM (BSM) scenario. Among the possible incarnations of the 2HDM, we test here the so-called Type-II, for a twofold reason. On the one hand, it intriguingly offers two very distinct parameter regions compliant with the SM-like Higgs measurements, i.e., where the so-called `SM limit' of the 2HDM can be achieved. On the other hand, in both configurations, the $AZh$ coupling is generally small, hence the signal is strongly polluted by backgrounds, so that the exploitation of Machine Learning (ML) techniques becomes extremely useful. In this paper, we show that the application of advanced ML implementations can be decisive in establishing such a signal. This is true for all distinctive kinematical configurations involving the $A\to Z^{(*)}h$ decay, i.e., below threshold ($m_A<m_Z+m_h$), at its maximum ($m_Z+m_h<m_A<2m_t$) and near the onset of $t\bar t$ pair production ($m_A \approx 2m_t$), for which we propose Benchmark Points (BPs) for future phenomenological analyses.Comment: JHEP accepted version., 33 pages, 15 figures, 2 table

Searching for Charged Higgs Bosons in the B−LB-L Supersymmetric Standard Model at the High Luminosity Large Hadron Collider

Upon assuming the $B-L$ Supersymmetric Standard Model (BLSSM) as theoretical framework accommodating a multi-Higgs sector, we assess the scope of the High Luminosity Large Hadron Collider (HL-LHC) in accessing charged Higgs bosons ($H^\pm$) produced in pairs from $Z'$ decays. We show that, by pursuing both di-jet and tau-neutrino decays, several signals can be established for $H^\pm$ masses ranging from about $M_{W}$ to above $m_t$ and $Z'$ masses between 2.5 TeV and 3.5 TeV. The discovery can be attained, even in a background free environment in some cases, owing to the fact that the very massive resonating $Z'$ ejects the charged Higgs bosons at very high transverse momentum, a kinematic region where any SM noise is hugely depleted.Comment: 5 pages, 7 figures, matches published versio

Sustainable Lighting Layout in Urban Areas: Maximizing Implicit Coverage and Minimizing Installation Cost

A key decision in the design of urban lighting is the location of the luminaries that are used to illuminate the specified region. The decision needs to account for coverage requirements identified in certain areas, based on safety considerations and nature of work activity, along with ensuring the cost effectiveness of the installation pattern adopted. In this work, a novel approach is presented via a multi-objective mathematical optimization model that results in a sustainable layout of light poles in urban region. A maximal coverage objective, with implicit demand cover, is formulated as a measure of the social requirement in urban lighting, which models security and safety associated with night-time lighting of the urban region. At the same time, the economical aspect of the layout is considered via minimizing the installation cost of the lighting layout. A realistic case example is then solved using the ϵ-constraint method. A Pareto optimal front for the case considered is constructed and analyzed

SERVICIO DE TAXI DE SAN BARTOLOMÉ DE TIRAJANA [Material gráfico]

tres hombres en el cocheCopia digital. Madrid : Ministerio de Educación, Cultura y Deporte. Subdirección General de Coordinación Bibliotecaria, 201

Leukemic Infiltration of the Esophagus, a Rare Etiology for a Common Disease

Introduction: The etiology of esophagitis in patients with acute leukemia is usually related to infections, reflux, or chemotherapy toxicity. Infiltration of esophagus by leukemic cells is rarely considered in the differential diagnosis.Presentation of Case: Here we present a case of 87-year-old male patient with a recent diagnosis of acute myelocytic leukemia who was found to have severe diffuse esophagitis secondary to leukemic infiltration.Conclusion: Leukemic infiltration of the esophagus is a rare potential etiology of severe esophagitis in patients with disseminated leukemia. Esophageal biopsy is needed to identify the exact cause of esophageal lesions in leukemia patient

Psychosocial Correlates of Diabetes Self-management Practices

Background: Self-Management is a crucial regimen for patients with diabetes mellitus. Many factors have affected patients\u27 self-management practice including psychosocial factors. Literature revealed contradictory results concerning the psychosocial correlates of patients\u27 self-management practices. Therefore, this study assessed the psychosocial correlates of diabetes self-management practices among Jordanian diabetic patients. Methods: A descriptive, cross-sectional, correlational design was utilized to collect data (conducted in the middle region of Jordan in 2015) from 341 Jordanian outpatients with diabetes using self-reported questionnaires (Social Support Scale, CES-D, and Summary of Diabetes Self-Care Activities) and chart review. Results: Participants reported practice rate of 2.85/ 7 (SD=1.3), with diet practice the most (M=3.66, SD=1.5) and exercise the least (M=1.53, SD=2.1). Participants reported receiving social support (M=3.23, SD=1.3) less than needed (M=3.39, SD=1.3). High levels of depressive symptoms were reported (M=17.1, SD= 11.4). Diet practices had significant positive correlation with family support attitude (r= .266, P= .000) and negative correlation with depressive symptoms (r= - .114, P= .037). Testing blood sugar significantly correlated with both support needed (r= .144, P= .008) and support received (r= .166, P= .002). Conclusion: Jordanian DM patients were found to practice less than optimum DM self-management practices, and to consider diet practices than exercise practices. This study confirmed that the subcategories of DM self-care management should be considered rather than considering the general plan

Erratum to: An Entropy Functional for Riemann-Cartan Space-Times

We correct the entropy functional constructed in Int. J. Theor. Phys. 51:362 (2012). The 'on-shell' functional one obtains from this correct functional possesses a holographic structure without imposing any constraint on the spin-angular momentum tensor of matter, in contrast to the conclusion made in the above paper.Comment: 15 pages. These are the preprints of the original paper and its erratum published in Int. J. Theor. Phy

CMS Monte Carlo production in the WLCG computing Grid

Monte Carlo production in CMS has received a major boost in performance and scale since the past CHEP06 conference. The production system has been re-engineered in order to incorporate the experience gained in running the previous system and to integrate production with the new CMS event data model, data management system and data processing framework. The system is interfaced to the two major computing Grids used by CMS, the LHC Computing Grid (LCG) and the Open Science Grid (OSG). Operational experience and integration aspects of the new CMS Monte Carlo production system is presented together with an analysis of production statistics. The new system automatically handles job submission, resource monitoring, job queuing, job distribution according to the available resources, data merging, registration of data into the data bookkeeping, data location, data transfer and placement systems. Compared to the previous production system automation, reliability and performance have been considerably improved. A more efficient use of computing resources and a better handling of the inherent Grid unreliability have resulted in an increase of production scale by about an order of magnitude, capable of running in parallel at the order of ten thousand jobs and yielding more than two million events per day