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https://www.readbyqxmd.com/read/28222161/the-distinct-features-of-microbial-dysbiosis-of-crohn-s-disease-do-not-occur-to-the-same-extent-in-their-unaffected-genetically-linked-kindred
#1
Umer Zeeshan Ijaz, Christopher Quince, Laura Hanske, Nick Loman, Szymon T Calus, Martin Bertz, Christine A Edwards, Daniel R Gaya, Richard Hansen, Paraic McGrogan, Richard K Russell, Konstantinos Gerasimidis
BACKGROUND/AIMS: Studying the gut microbiota in unaffected relatives of people with Crohn's disease (CD) may advance our understanding of the role of bacteria in disease aetiology. METHODS: Faecal microbiota composition (16S rRNA gene sequencing), genetic functional capacity (shotgun metagenomics) and faecal short chain fatty acids (SCFA) were compared in unaffected adult relatives of CD children (CDR, n = 17) and adult healthy controls, unrelated to CD patients (HUC, n = 14)...
2017: PloS One
https://www.readbyqxmd.com/read/28222007/object-discovery-via-cohesion-measurement
#2
Guanjun Guo, Hanzi Wang, Wan-Lei Zhao, Yan Yan, Xuelong Li
Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an object. They are therefore particularly suitable for computer vision tasks, such as saliency detection and object proposal generation. However, image pixels, which share a similar real-world color, may be quite different since colors are often distorted by intensity. In this paper, we reinvestigate the affinity matrices originally used in image segmentation methods based on spectral clustering...
February 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28222006/adaptive-discrete-hypergraph-matching
#3
Junchi Yan, Changsheng Li, Yin Li, Guitao Cao
This paper addresses the problem of hypergraph matching using higher-order affinity information. We propose a solver that iteratively updates the solution in the discrete domain by linear assignment approximation. The proposed method is guaranteed to converge to a stationary discrete solution and avoids the annealing procedure and ad-hoc post binarization step that are required in several previous methods. Specifically, we start with a simple iterative discrete gradient assignment solver. This solver can be trapped in an m-circle sequence under moderate conditions, where m is the order of the graph matching problem...
February 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28222000/fast-prediction-of-protein-methylation-sites-using-a-sequence-based-feature-selection-technique
#4
Leyi Wei, Pengwei Xing, Gaotao Shi, Zhi-Liang Ji, Quan Zou
Protein methylation, an important post-translational modification, plays crucial roles in many cellular processes. The accurate prediction of protein methylation sites is fundamentally important for revealing the molecular mechanisms undergoing methylation. In recent years, computational prediction based on machine learning algorithms has emerged as a powerful and robust approach for identifying methylation sites, and much progress has been made in predictive performance improvement. However, the predictive performance of existing methods is not satisfactory in terms of overall accuracy...
February 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28221997/topkube-a-rank-aware-data-cube-for-real-time-exploration-of-spatiotemporal-data
#5
Fabio Miranda, Lauro Lins, James Klosowski, Claudio Silva
From economics to sports to entertainment and social media, ranking objects according to some notion of importance is a fundamental tool we humans use all the time to better understand our world. With the ever-increasing amount of user-generated content found online, "what's trending" is now a commonplace phrase that tries to capture the zeitgeist of the world by ranking the most popular microblogging hashtags in a given region and time. However, before we can understand what these rankings tell us about the world, we need to be able to more easily create and explore them, given the significant scale of today's data...
February 17, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28221995/deep-cascade-cascading-3d-deep-neural-networks-for-fast-anomaly-detection-and-localization-in-crowded-scenes
#6
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette
This paper proposes a fast and reliable method for anomaly detection and localization in video data showing crowded scenes. Time-efficient anomaly localization is an ongoing challenge and subject of this paper. We propose a cubicpatch- based method, characterised by a cascade of classifiers, which makes use of an advanced feature-learning approach. Our cascade of classifiers has two main stages. First, a light but deep 3D auto-encoder is used for early identification of "many" normal cubic patches. This deep network operates on small cubic patches as being the first stage, before carefully resizing remaining candidates of interest, and evaluating those at the second stage using a more complex and deeper 3D convolutional neural network (CNN)...
February 17, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28221994/video-saliency-detection-via-spatial-temporal-fusion-and-low-rank-coherency-diffusion
#7
Chenglizhao Chen, Shuai Li, Yongguang Wang, Hong Qin, Aimin Hao
This paper advocates a novel video saliency detection method based on the spatial-temporal saliency fusion and low-rank coherency guided saliency diffusion. In sharp contrast to the conventional methods, which conduct saliency detection locally in a frame-by-frame way and could easily give rise to incorrect low-level saliency map, in order to overcome the existing difficulties, this paper proposes to fuse the color saliency based on global motion clues in a batch-wise fashion. And we also propose low-rank coherency guided spatial-temporal saliency diffusion to guarantee the temporal smoothness of saliency maps...
February 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28221992/exploiting-feature-and-class-relationships-in-video-categorization-with-regularized-deep-neural-networks
#8
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
In this paper, we study the challenging problem of categorizing videos according to high-level semantics such as the existence of a particular human action or a complex event. Although extensive efforts have been devoted in recent years, most existing works combined multiple video features using simple fusion strategies and neglected the utilization of inter-class semantic relationships. This paper proposes a novel unified framework that jointly exploits the feature relationships and the class relationships for improved categorization performance...
February 16, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28221991/detecting-clinically-meaningful-shape-clusters-in-medical-image-data-metrics-analysis-for-hierarchical-clustering-applied-to-healthy-and-pathological-aortic-arches
#9
Jan L Bruse, Maria A Zuluaga, Abbas Khushnood, Kristin McLeod, Hopewell N Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M Taylor, Silvia Schievano
OBJECTIVE: Today's growing medical image databases call for novel processing tools to structure the bulk of data and extract clinically relevant information. Unsupervised hierarchical clustering may reveal clusters within anatomical shape data of patient populations as required for modern Precision Medicine strategies. Few studies have applied hierarchical clustering techniques to three-dimensional patient shape data and results depend heavily on the chosen clustering distance metrics and linkage functions...
February 16, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28221781/the-relationship-between-organic-loading-and-effects-on-fish-reproduction-for-pulp-mill-effluents-across-canada
#10
Pierre H Martel, Brian I O'Connor, Tibor G Kovacs, Michael R Van Den Heuvel, Joanne L Parrott, Mark E McMaster, Deborah L MacLatchy, Glen J Van Der Kraak, L Mark Hewitt
This study builds upon the work of a multiagency consortium tasked with determining cost effective solutions for the effects of pulp mill effluents on fish reproduction. A laboratory fathead minnow egg production test and chemical characterization tools were used to benchmark eighty-one effluents from twenty mills across Canada, representing the major pulping, bleaching and effluent treatment technologies. For Kraft and mechanical pulp mills, effluents containing less than 20 mg/L BOD5 were found to have the greatest probability of having no effects...
February 21, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28221671/can-trainees-effectively-deliver-dialectical-behavior-therapy-for-individuals-with-borderline-personality-disorder-outcomes-from-a-training-clinic
#11
Shireen L Rizvi, Christopher D Hughes, Alexandra D Hittman, Pedro Vieira Oliveira
OBJECTIVE: The aim of the current study was to evaluate the effectiveness of a 6-month course of comprehensive dialectical behavior therapy (DBT) provided in a training clinic with doctoral students as therapists and assessors. METHOD: Clinical outcomes for 50 individuals with borderline personality disorder (80% female, Mage = 29.52 [SD = 9.64]) are reported. Reliable change indices and clinical significance were calculated for measures. Finally, our results were benchmarked against a "gold standard" randomized clinical trial (RCT; McMain et al...
February 21, 2017: Journal of Clinical Psychology
https://www.readbyqxmd.com/read/28221033/molecule-level-g-c3n4-coordinated-transition-metals-as-a-new-class-of-electrocatalysts-for-oxygen-electrode-reactions
#12
Yao Zheng, Yan Jiao, Yihan Zhu, Qiran Cai, Anthony Vasileff, Lu Hua Li, Yu Han, Ying Chen, Shi Zhang Qiao
Organometallic complexes with metal-nitrogen/carbon (M-N/C) coordination are the most important alternatives to precious metal catalysts for oxygen reduction and evolution reactions (ORR and OER) in energy conversion devices. Here, we designed and developed a range of molecule-level graphitic carbon nitride (g-C3N4) coordinated transition metals (M-C3N4) as a new generation of M-N/C catalysts for these oxygen electrode reactions. As a proof-of-concept example, we conducted theoretical evaluation and experimental validation on a cobalt-C3N4 catalyst with a desired molecular configuration, which possesses comparable electrocatalytic activity to that of precious metal benchmarks for the ORR and OER in alkaline media...
February 21, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28221032/high-performance-reduction-of-h2o2-with-an-electron-transport-decaheme-cytochrome-on-a-porous-ito-electrode
#13
Bertrand Reuillard, Khoa H Ly, Peter Hildebrandt, Lars J C Jeuken, Julea N Butt, Erwin Reisner
A decaheme cytochrome MtrC from Shewanella oneidensis MR-1 immobilized on an ITO electrode displays unprecedented H2O2 reduction activity. MtrC was also found to show good peroxidase activity in solution and the ten heme co-factors support excellent electronic communication, which enable superior activity compared to horseradish peroxidase on the electrode surface. A hierarchical ITO electrode enabled optimal immobilization of MtrC and a high current density of 1 mA cm-2 at 0.4 V vs. SHE could be obtained at pH 6...
February 21, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28221005/screening-for-high-conductivity-low-viscosity-ionic-liquids-using-product-descriptors
#14
Shawn Martin, Harry D Pratt, Travis M Anderson
We seek to optimize Ionic liquids (ILs) for application to redox flow batteries. As part of this effort, we have developed a computational method for suggesting ILs with high conductivity and low viscosity. Since ILs consist of cation-anion pairs, we consider a method for treating ILs as pairs using product descriptors for QSPRs, a concept borrowed from the prediction of protein-protein interactions in bioinformatics. We demonstrate the method by predicting electrical conductivity, viscosity, and melting point on a dataset taken from the ILThermo database on June 18(th) , 2014...
February 21, 2017: Molecular Informatics
https://www.readbyqxmd.com/read/28220700/probing-the-intrinsic-thermal-and-photochemical-stability-of-hybrid-and-inorganic-lead-halide-perovskites
#15
Azat F Akbulatov, Sergey Yurevich Luchkin, Lyubov A Frolova, Nadezhda N Dremova, Ivan S Zhidkov, Kirill L Gerasimov, Denis V Anokhin, Ernst Z Kurmaev, Keith J Stevenson, Pavel A Troshin
We report a careful and systematic study of the thermal and photochemical degradation of a series of complex haloplumbates APbX3 (X=I, Br) with hybrid organic (A+= CH3NH3) and inorganic (A+=Cs+) cations under anoxic conditions (i.e., without exposure to oxygen and moisture by testing in an inert glove box environment). We show that the most common hybrid materials (e.g. MAPbI3) are intrinsically unstable with respect to the heat- and light-induced stress and, therefore, can hardly sustain the real solar cell operation conditions...
February 21, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28219677/nsqip-based-quality-improvement-curriculum-for-surgical-residents
#16
Mary M Mrdutt, Claire L Isbell, Justin L Regner, Bonnie R Hodges, Yolanda Munoz Maldonado, J Scott Thomas, Harry T Papaconstantinou
BACKGROUND: General surgery training has historically lacked a standardized approach to resident Quality Improvement (QI) education aside from traditional Morbidity and Mortality conference. In 2013, the Accreditation Council for Graduate Medical Education (ACGME) formalized QI as a component of residency training. Our residency chose the National Surgical Quality Improvement Program (NSQIP) Quality In-Training Initiative (QITI) as the foundation for our QI training. We hypothesized that a focused curriculum based on outcomes would produce change in culture and improve quality of patient care...
February 17, 2017: Journal of the American College of Surgeons
https://www.readbyqxmd.com/read/28219544/the-society-of-thoracic-surgeons-congenital-heart-surgery-database-2017-update-on-outcomes-and-quality
#17
Jeffrey P Jacobs, John E Mayer, Constantine Mavroudis, Sean M O'Brien, Erle H Austin, Sara K Pasquali, Kevin D Hill, David M Overman, James D St Louis, Tara Karamlou, Christian Pizarro, Jennifer C Hirsch-Romano, Donna McDonald, Jane M Han, Susan Becker, Christo I Tchervenkov, Francois Lacour-Gayet, Carl L Backer, Charles D Fraser, James S Tweddell, Martin J Elliott, Hal Walters, Richard A Jonas, Richard L Prager, David M Shahian, Marshall L Jacobs
The Society of Thoracic Surgeons Congenital Heart Surgery Database is the largest congenital and pediatric cardiac surgical clinical data registry in the world. It is the platform for all activities of The Society of Thoracic Surgeons related to the analysis of outcomes and the improvement of quality in this subspecialty. This report summarizes current aggregate national outcomes in congenital and pediatric cardiac surgery and reviews related activities in the areas of quality measurement, performance improvement, and transparency...
March 2017: Annals of Thoracic Surgery
https://www.readbyqxmd.com/read/28219452/stop-stroke-a-brief-report-on-door-to-needle-times-and-performance-after-implementing-an-acute-care-coordination-medical-application-and-implications-to-emergency-medical-services
#18
Robert Dickson, Adrian Nedelcut, Melissa McPeek Nedelcut
OBJECTIVE: The objective of this study was to evaluate the effect of the Stop Stroke (Pulsara; Bozeman, Montana USA) medical application on door-to-needle (DTN) time in patients presenting to the emergency department (ED) with an acute ischemic stroke (AIS). METHODS: This was a retrospective cohort study of the Good Shepherd Health System (Longview, Texas USA) stroke quality improvement dashboard for a 25-month period from February 2012 through February 2014. Data analysis includes all data from Center for Medicare and Medicaid Services (CMS; Baltimore, Maryland USA) reportable cases receiving Tissue Plasminogen Activator (TPA) for AIS during the study period...
February 21, 2017: Prehospital and Disaster Medicine
https://www.readbyqxmd.com/read/28219343/computing-structure-based-lipid-accessibility-of-membrane-proteins-with-mp_lipid_acc-in-rosettamp
#19
Julia Koehler Leman, Sergey Lyskov, Richard Bonneau
BACKGROUND: Membrane proteins are underrepresented in structural databases, which has led to a lack of computational tools and the corresponding inappropriate use of tools designed for soluble proteins. For membrane proteins, lipid accessibility is an essential property. Although programs are available for sequence-based prediction of lipid accessibility and structure-based identification of solvent-accessible surface area, the latter does not distinguish between water accessible and lipid accessible residues in membrane proteins...
February 20, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28219308/perceived-risk-factors-for-nonunion-following-foot-and-ankle-arthrodesis
#20
Gowreeson Thevendran, Kalpesh Shah, Stephen J Pinney, Alastair Se Younger
BACKGROUND: A major complication of foot and ankle arthrodesis is nonunion, which occurs in approximately 12% of cases. Various factors influence a patient's risk for nonunion following foot and ankle arthrodesis. We surveyed international foot and ankle surgeons to determine (1) risk factors perceived most important for nonunion, (2) factors considered absolute contraindications for arthrodesis, and (3) differences among expert groups regarding perceived risk factors and their stratification...
January 2017: Journal of Orthopaedic Surgery
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