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https://www.readbyqxmd.com/read/28103626/nonalcoholic-fatty-liver-disease-in-adolescents-and-young-adults-the-next-frontier-in-the-epidemic
#1
REVIEW
Iliana Doycheva, Kymberly D Watt, Naim Alkhouri
Nonalcoholic fatty liver disease (NAFLD) is a significant health burden in adolescents and young adults (AYAs) with substantial rise in prevalence over the last decades. This parallels high rates of obesity and metabolic syndrome in this age group, with unhealthy lifestyle also playing an independent role. Genetic factors, gender, and ethnicity should be considered in a risk stratification model. NAFLD and nonalcoholic steatohepatitis (NASH) in AYAs often go unrecognized and if untreated, can progress eventually to cirrhosis requiring liver transplantation before the age of 40...
January 19, 2017: Hepatology: Official Journal of the American Association for the Study of Liver Diseases
https://www.readbyqxmd.com/read/28103598/coronavirus-infections-in-the-central-nervous-system-and-respiratory-tract-show-distinct-features-in-hospitalized-children
#2
Yuanyuan Li, Haipeng Li, Ruyan Fan, Bo Wen, Jian Zhang, Xiaoying Cao, Chengwu Wang, Zhanyi Song, Shuochi Li, Xiaojie Li, Xinjun Lv, Xiaowang Qu, Renbin Huang, Wenpei Liu
BACKGROUND/AIMS: Coronavirus (CoV) infections induce respiratory tract illnesses and central nervous system (CNS) diseases. We aimed to explore the cytokine expression profiles in hospitalized children with CoV-CNS and CoV-respiratory tract infections. METHODS: A total of 183 and 236 hospitalized children with acute encephalitis-like syndrome and respiratory tract infection, respectively, were screened for anti-CoV IgM antibodies. The expression profiles of multiple cytokines were determined in CoV-positive patients...
January 20, 2017: Intervirology
https://www.readbyqxmd.com/read/28103576/a-new-model-of-multi-visceral-and-bone-metastatic-prostate-cancer-with-perivascular-niche-targeting-by-a-novel-endothelial-specific-adenoviral-vector
#3
Zhi Hong Lu, Sergey Kaliberov, Rebecca E Sohn, Lyudmila Kaliberova, Yingqiu Du, Julie L Prior, Daniel J Leib, Anne Chauchereau, Jennifer K Sehn, David T Curiel, Jeffrey M Arbeit
While modern therapies for metastatic prostate cancer (PCa) have improved survival they are associated with an increasingly prevalent entity, aggressive variant PCa (AVPCa), lacking androgen receptor (AR) expression, enriched for cancer stem cells (CSCs), and evidencing epithelial-mesenchymal plasticity with a varying extent of neuroendocrine transdifferentiation. Parallel work revealed that endothelial cells (ECs) create a perivascular CSC niche mediated by juxtacrine and membrane tethered signaling. There is increasing interest in pharmacological metastatic niche targeting, however, targeted access has been impossible...
January 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/28103570/an-extreme-learning-machine-approach-to-density-estimation-problems
#4
Cristiano Cervellera, Danilo Maccio
In this paper, we discuss how the extreme learning machine (ELM) framework can be effectively employed in the unsupervised context of multivariate density estimation. In particular, two algorithms are introduced, one for the estimation of the cumulative distribution function underlying the observed data, and one for the estimation of the probability density function. The algorithms rely on the concept of $F$-discrepancy, which is closely related to the Kolmogorov-Smirnov criterion for goodness of fit. Both methods retain the key feature of the ELM of providing the solution through random assignment of the hidden feature map and a very light computational burden...
January 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103569/an-intelligent-actuator-fault-reconstruction-scheme-for-robotic-manipulators
#5
Bing Xiao, Shen Yin
This paper investigates a difficult problem of reconstructing actuator faults for robotic manipulators. An intelligent approach with fast reconstruction property is developed. This is achieved by using observer technique. This scheme is capable of precisely reconstructing the actual actuator fault. It is shown by Lyapunov stability analysis that the reconstruction error can converge to zero after finite time. A perfect reconstruction performance including precise and fast properties can be provided for actuator fault...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103568/on-the-exploration-of-information-from-the-dtw-cost-matrix-for-online-signature-verification
#6
Abhishek Sharma, Suresh Sundaram
This paper explores the utility of information derived from the dynamic time warping (DTW) cost matrix for the problem of online signature verification. The prior works in literature primarily utilize only the DTW scores to authenticate a test signature. To the best of our knowledge, the characteristics of the warping path (used for the alignment) in the cost matrix is hardly exploited for verification of online signatures. Accordingly, we devise a score that utilizes the information from the cost matrix and warping path alignments...
January 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103563/effective-glottal-instant-detection-and-electroglottographic-parameter-extraction-for-automated-voice-pathology-assessment
#7
Pranav Deshpande, M Sabarimalai Manikandan
Accurate determination of glottal instants and electroglottographic (EGG) parameters is most important in voice pathology analysis including multiple voice disorders: neurological, functional, and laryngeal diseases. In this paper, we present a new effective method for reliable detection of glottal instants and EGG parameters from an EGG signal composed of voiced and non-voice segments. In the first stage, we present an adaptive variational mode decomposition (aVMD) based algorithm for suppressing low-frequency artifacts and additive high-frequency noises...
January 17, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28103561/statistical-shape-modeling-of-the-left-ventricle-myocardial-infarct-classification-challenge
#8
Avan Suinesiaputra, Pierre Ablin, Xenia Alba, Martino Alessandrini, Jack Allen, W Bai, Serkan Cimen, Peter Claes, Brett R Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Oksuz, Xavier Pennec, Marco Pereanez, Catarina Pinto, Paolo Piras, Marc-Michel Rohe, Daniel Rueckert, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A Tsaftaris, Matthias Wilms, Alistair A Young, Xingyu Zhang, Pau Medrano-Gracia
Statistical shape modeling is a powerful tool for visualizing and quantifying geometric and functional patterns of the heart. After myocardial infarction (MI), the left ventricle typically remodels in response to physiological challenges. Several methods have been proposed in the literature to describe statistical shape changes. Which method best characterizes left ventricular remodeling after MI is an open research question. A better descriptor of remodeling is expected to provide a more accurate evaluation of disease status in MI patients...
January 17, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28103558/effective-multi-query-expansions-collaborative-deep-networks-based-feature-learning-for-robust-landmark-retrieval
#9
Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang
Given a query photo issued by a user (q-user), the landmark retrieval is to return a set of photos with their landmarks similar to those of the query, while the existing studies on the landmark retrieval focus on exploiting geometries of landmarks for similarity matches between candidate photos and a query photo. We observe that the same landmarks provided by different users over social media community may convey different geometry information depending on the viewpoints and/or angles, and may subsequently yield very different results...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103556/steerable-wavelet-machines-swm-learning-moving-frames-for-texture-classification
#10
Adrien Depeursinge, Zsuzsanna Puspoki, John Paul Ward, Michael Unser
We present texture operators encoding classspecific local organizations of image directions (LOID) in a rotation-invariant fashion. The LOIDs are key for visual understanding, and are at the origin of the success of the popular approaches such as local binary patterns (LBP) and the scaleinvariant feature transform (SIFT). Whereas LBPs and SIFT yield handcrafted image representations, we propose to learn dataspecific representations of the LOIDs in a rotation-invariant fashion. The image operators are based on steerable circular harmonic wavelets (CHW), offering a rich and yet compact initial representation for characterizing natural textures...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103555/robust-head-pose-estimation-based-on-partially-latent-mixture-of-linear-regressions
#11
Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye Ba, Georgios Evangelidis
Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth. Head-pose estimation is challenging because it must cope with changing illumination conditions, variabilities in face orientation and in appearance, partial occlusions of facial landmarks, as well as bounding-box-to- face alignment errors. We propose tu use a mixture of linear regressions with partially-latent output. This regression method learns to map high-dimensional feature vectors (extracted from bounding boxes of faces) onto the joint space of head-pose angles and bounding-box shifts, such that they are robustly predicted in the presence of unobservable phenomena...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103554/robust-neighborhood-preserving-projection-by-nuclear-l2-1-norm-regularization-for-image-feature-extraction
#12
Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan
We propose two nuclear- and L2,1-norm regularized two-dimensional neighborhood preserving projection (2DNPP) methods for extracting representative 2D image features. 2DNPP extracts neighborhood preserving features via minimizing the Frobenius norm based reconstruction error that is very sensitive to noise and outliers in data. To make the distance metric more reliable and robust, and encode the neighborhood reconstruction error more accurately, we minimize the nuclear- and L2,1-norm based reconstruction error respectively and measure it over each image...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103496/toddlers-action-prediction-statistical-learning-of-continuous-action-sequences
#13
Claire D Monroy, Sarah A Gerson, Sabine Hunnius
The current eye-tracking study investigated whether toddlers use statistical information to make anticipatory eye movements while observing continuous action sequences. In two conditions, 19-month-old participants watched either a person performing an action sequence (Agent condition) or a self-propelled visual event sequence (Ghost condition). Both sequences featured a statistical structure in which certain action pairs occurred with deterministic transitional probabilities. Toddlers learned the transitional probabilities between the action steps of the deterministic action pairs and made predictive fixations to the location of the next action in the Agent condition but not in the Ghost condition...
January 16, 2017: Journal of Experimental Child Psychology
https://www.readbyqxmd.com/read/28103491/chemically-activated-carbon-from-lignocellulosic-wastes-for-heavy-metal-wastewater-remediation-effect-of-activation-conditions
#14
Arunima Nayak, Brij Bhushan, Vartika Gupta, P Sharma
Chemical activation is known to induce specific surface features of porosity and functionality which play a definite role in enhancing the adsorptive potential of the developed activated carbons. Different conditions of temperature, time, reagent type and impregnation ratio were applied on sawdust precursor and their effect on the physical, surface chemical features and finally on the adsorption potential of the developed activated carbons were analysed. Under activation conditions of 600°C, 1hr, 1:0.5 ratio, ZnCl2 impregnated carbon (CASD_ZnCl2) resulted in microporosity while KOH impregnation (CASD_KOH) yielded a carbon having a wider pore size distribution...
January 10, 2017: Journal of Colloid and Interface Science
https://www.readbyqxmd.com/read/28103478/modulation-of-fast-narrowband-oscillations-in-the-mouse-retina-and-dlgn-according-to-background-light-intensity
#15
Riccardo Storchi, Robert A Bedford, Franck P Martial, Annette E Allen, Jonathan Wynne, Marcelo A Montemurro, Rasmus S Petersen, Robert J Lucas
Background light intensity (irradiance) substantially impacts the visual code in the early visual system at synaptic and single-neuron levels, but its influence on population activity is largely unexplored. We show that fast narrowband oscillations, an important feature of population activity, systematically increase in amplitude as a function of irradiance in both anesthetized and awake, freely moving mice and at the level of the retina and dorsal lateral geniculate nucleus (dLGN). Narrowband coherence increases with irradiance across large areas of the dLGN, but especially for neighboring units...
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103460/-pneumocystis-pneumonia-in-107-hiv-infected-patients-admitted-to-the-department-of-infectious-diseases-at-santa-maria-hospital-lisbon-2002-2013
#16
Vilma Grilo, Aida Pereira
INTRODUCTION: Pneumocystis jirovecii pneumonia remains one of the most common opportunistic illnesses in patients infected with the human immunodeficiency virus. It is currently the most reported AIDS-defining infection in Portugal. The aims of this study were to analyze the features of a human immunodeficiency virus /Pneumocystis jirovecii pneumonia coinfected population, to compare it with the current literature, and to evaluate comparatively subpopulations of patients based on the previous knowledge of the human immunodeficiency virus infection, Pneumocystis jirovecii pneumonia diagnostic method and discharge results...
October 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28103458/-uterine-carcinosarcoma-clinicopathological-features-and-prognostic-factors
#17
Rita Luz, Joana Ferreira, Mara Rocha, Ana Francisca Jorge, Ana Félix
INTRODUCTION: Uterine carcinosarcoma is a rare and aggressive biphasic malignancy and is currently included in the high risk endometrial carcinoma group. The aims of this study were to determine the clinicopathological profile, treatment, recurrence/progression patterns, survival and prognostic factors. MATERIAL AND METHODS: Retrospective study of 42 patients, surgically staged and followed-up at a cancer centre, between 2005 and 2013. Clinical data was retrieved from records and pathological characteristics were reviewed for this study...
October 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28103455/-epidemiological-and-demographic-characteristics-of-patients-with-head-and-neck-tumours-in-the-northern-portugal-impact-on-survival
#18
Roberto Estêvão, Tiago Santos, Ana Ferreira, Anabela Machado, João Fernandes, Eurico Monteiro
INTRODUCTION: In Portugal there are still no epidemiological and demographic studies conducted in patients with of the head and neck tumors. The objectives of this analysis are to describe the epidemiological and demographics of patients with malignant tumors of the head and neck referred to an Ear, Nose and Throat department of an oncology center in the North of Portugal and also assess the impact of these characteristics on survival. MATERIAL AND METHODS: Retrospective study of patients referred between January 2011 and December 2013 to the Ear, Nose and Throat Department of an oncology center (Instituto Português de Oncologia do Porto),...
October 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28103424/no-negative-impact-of-serum-igg4-levels-on-clinical-outcome-in-435-patients-with-primary-sclerosing-cholangitis-from-japan
#19
Atsushi Tanaka, Susumu Tazuma, Takahiro Nakazawa, Hiroyuki Isayama, Toshio Tsuyuguchi, Kazuo Inui, Hajime Takikawa
BACKGROUND AND AIMS: Several studies have demonstrated that elevated serum IgG4 levels are associated with poor outcomes of primary sclerosing cholangitis (PSC), but the impact of serum IgG4 levels on PSC remains controversial. In this study, we aimed to determine prognostic factors of patients with PSC and to investigate the association between serum IgG4 levels and the clinical features and prognosis of PSC in a Japanese cohort. METHODS: We retrospectively analysed follow-up data for 435 patients with PSC (UMIN000018438)...
January 19, 2017: Journal of Hepato-biliary-pancreatic Sciences
https://www.readbyqxmd.com/read/28103280/formulation-general-features-and-global-calibration-of-a-bioenergetically-constrained-fishery-model
#20
David A Carozza, Daniele Bianchi, Eric D Galbraith
Human exploitation of marine resources is profoundly altering marine ecosystems, while climate change is expected to further impact commercially-harvested fish and other species. Although the global fishery is a highly complex system with many unpredictable aspects, the bioenergetic limits on fish production and the response of fishing effort to profit are both relatively tractable, and are sure to play important roles. Here we describe a generalized, coupled biological-economic model of the global marine fishery that represents both of these aspects in a unified framework, the BiOeconomic mArine Trophic Size-spectrum (BOATS) model...
2017: PloS One
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