نتایج جستجو برای: gib usbl sbl lbl

تعداد نتایج: 1720  

2009
Julieta Pérez-Giménez Elías J. Mongiardini M. Julia Althabegoiti Julieta Covelli J. Ignacio Quelas Silvina L. López-García Aníbal R. Lodeiro

Soybean lectin (SBL) purified from soybean seeds by affinity chromatography strongly bound to Bradyrhizobium japonicum USDA 110 cell surface. This lectin enhanced biofilm formation by B. japonicum in a concentration-dependent manner. Presence of galactose during biofilm formation had different effects in the presence or absence of SBL. Biofilms were completely inhibited in the presence of both ...

2016
Krzysztof Naus Aleksander Nowak

The article presents a study of the accuracy of estimating the position coordinates of BAUV (Biomimetic Autonomous Underwater Vehicle) by the extended Kalman filter (EKF) method. The fusion of movement parameters measurements and position coordinates fixes was applied. The movement parameters measurements are carried out by on-board navigation devices, while the position coordinates fixes are d...

2013
Jie Ling Marie Lamsen Roger Coron Danila Deliana Sabah Siddiqui Madhu Rangraj Stephen Jesmajian

Introduction. Gastrointestinal stromal tumor (GIST) in the ileum is an extremely rare cause of recurrent lower gastrointestinal bleeding (GIB). Case Report. An 89-year-old man was admitted with melana. He had extensive PMH of CAD post-CABG/AICD, AAA repair, chronic anemia, myelodysplastic syndrome, lung cancer after resection, and recurrent GIB. Prior EGDs, colonoscopies, and upper device-assis...

Journal: :ASAIO journal 2013
Konrad Sarosiek Linda Bogar Mitchell I Conn Brendan O'Hare Hitoshi Hirose Nicholas C Cavarocchi

Conventional algorithms for diagnosis and treatment of gastrointestinal bleeding (GIB) in patients with nonpulsatile ventricular assist devices (VADs) may take days to perform while patients require transfusions. We developed a new algorithm based on deep overtube-assisted enteroscopy (DOAE) to facilitate a rapid diagnosis and treatment. From 2004 to 2012, 84 patients who underwent VAD placemen...

1993
Solomon Eyal Shimony

Relevance-based explanation is a scheme in which partial assignments to Bayesian belief network variables are explanations ( abduc­ tive conclusions). We allow variables to re­ main unassigned in explanations as long as they are irrelevant to the explanation, where irrelevance is defined in terms of statistical in­ dependence. When multiple-valued variables exist in the system, especially when ...

Journal: :Artificial intelligence in medicine 2008
Adrienne Chu Hongshik Ahn Bhawna Halwan Bruce Kalmin Everson L. A. Artifon Alan Barkun Michail G. Lagoudakis Atul Kumar

OBJECTIVE To develop a model to predict the bleeding source and identify the cohort amongst patients with acute gastrointestinal bleeding (GIB) who require urgent intervention, including endoscopy. Patients with acute GIB, an unpredictable event, are most commonly evaluated and managed by non-gastroenterologists. Rapid and consistently reliable risk stratification of patients with acute GIB for...

Journal: :Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society 2013
Manouchehr Khoshbaten Saeideh Ghaffarifar Afshin Jabbar Imani Tahere Shahnazi

BACKGROUND Peptic ulcer is the most common cause of upper gastrointestinal bleeding (GIB) and nutritional support is a helpful strategy in malnutrition prevention during treatment. As early oral feeding in patients with GIB may shorten hospital stay and decrease costs and risk of infection, the present study was carried out to investigate the effects of early oral feeding on relapse and symptom...

2008

Both EBL and SBL occur in southern Africa and in the Southern African context it will therefore be very important to accurately differentiate between EBL and SBL. The epidemiology, direct and indirect economic impact, diagnosis and most importantly control and eradication of EBL is markedly different to that of SBL. Globally EBL infection may also place severe restrictions on the import and exp...

Journal: :CoRR 2017
Santosh Nannuru Kay L. Gemba Peter Gerstoft William S. Hodgkiss Christoph F. Mecklenbräuker

Sparse Bayesian learning (SBL) has emerged as a fast and competitive method to perform sparse processing. The SBL algorithm, which is developed using a Bayesian framework, approximately solves a non-convex optimization problem using fixed point updates. It provides comparable performance and is significantly faster than convex optimization techniques used in sparse processing. We propose a sign...

2015
CHIA CHYE YVES F. ATCHADÉ

This work is a re-examination of the sparse Bayesian learning (SBL) of linear regression models of Tipping (2001) in a high-dimensional setting with a sparse signal. We show that in general the SBL estimator does not recover the sparsity structure of the signal. To remedy this, we propose a hard-thresholded version of the SBL estimator that achieves, for orthogonal design matrices, the nonasymp...

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