نتایج جستجو برای: gib usbl sbl lbl

تعداد نتایج: 1720  

2016
Gareth Lewis Melissa McCullough Alexander P Maxwell Gerard J. Gormley

Background Medical students transitioning into professional practice feel underprepared to deal with the emotional complexities of real-life ethical situations. Simulation-based learning (SBL) may provide a safe environment for students to probe the boundaries of ethical encounters. Published studies of ethics simulation have not generated sufficiently deep accounts of student experience to inf...

2013
Shigehiro Takahashi Ryota Watahiki Kohji Tomida Baozhen Wang Jun-ichi Anzai

Gold (Au) electrodes coated with layer-by-layer (LbL) thin films composed of chitosan (CHI) were prepared to evaluate the redox properties of hexaammine ruthenium ions, Ru(NH₃)₆3+, and ferricyanide ions, Fe(CN)₆3- LbL films were prepared on an Au electrode by electrostatic LbL deposition using polycationic CHI and poly(vinyl sulfate) (PVS) or poly(acrylic acid) (PAA) as anionic component. Redox...

Journal: :Biomacromolecules 2013
Michael Keeney Melina Mathur Emily Cheng Xinming Tong Fan Yang

Layer-by-layer (LBL) assembly is an attractive platform for controlled release of biologics given its mild fabrication process and versatility in coating substrates of any shape. Proteins can be incorporated into LBL coatings by sequentially depositing oppositely charged polyelectrolytes, which self-assemble into nanoscale films on medical devices or tissue engineering scaffolds. However, previ...

Journal: :Publications of the Research Institute for Mathematical Sciences 1979

Biner Inci Uslu, Dilek Kacar, Ebru Tatci, Ozlem Ozmen, Suna Emir,

Abstract B-cell lymphoblastic lymphoma (B-LBL) is an uncommon subtype of pediatric non-Hodgkin Lymphoma (NHL) which rarely involves the skin primarily. The positron emission tomography with 2-deoxy-2-[fluorine- 18] fluoro-D: -glucose integrated with computed tomography (18F-FDG PET/CT) scan findings of a 8-year-old boy with cutaneous B-LBL were presented. PET/CT scan demonstrated mild FDG up...

Journal: :European Heart Journal Supplements 2022

Abstract Background The number of patients with end stage heart failure (HF) which requires a ventricular assist devices (VADs) implantation is constantly increasing. Gastrointestinal bleeding (GIB) represents one the most common complications that occur in this patient population. GIB risk assessment could have important implications for candidate selection and postimplant therapeutic strategi...

Journal: :International journal of audiology 2009
Lu-Feng Shi

English-as-a-second-language (ESL) listeners have difficulty perceiving English speech presented in background noise. The current study furthered this line of investigations by including participants who varied widely in their age of English acquisition and length of English learning: 24 native English monolingual (EML), 12 simultaneous bilingual (SBL), 10 early ESL (E-ESL), and 14 late ESL (L-...

2009
Cleotilde Gonzalez Varun Dutt Alice F. Healy Michael D. Young

This paper presents a comparison of two models, built on the same architecture, ACT-R, and on the same dynamic decision making task, RADAR. The two models represent the Strategy-Based Learning (SBL) approach and the Instance-Based Learning (IBL) approach. The SBL approach assumes a certain set of predefined strategies, and learning occurs by selecting the most successful strategy over time. The...

2015
Sajida Agha Asma Y. Alhamrani Muhammad A. Khan

OBJECTIVES To evaluate medical students' satisfaction with simulation based learning strategy (SBL).   METHODS A cross-sectional survey was conducted between October  and November 2013 at the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia. All third and fourth year medical students (n=185) both males and females were included. A self-develope...

2015
Ranjitha Prasad

Bayesian approaches for sparse signal recovery have enjoyed a long-standing history in signal processing and machine learning literature. Among the Bayesian techniques, the expectation maximization based Sparse Bayesian Learning (SBL) approach is an iterative procedure with global convergence guarantee to a local optimum, which uses a parameterized prior that encourages sparsity under an eviden...

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