نتایج جستجو برای: meb
تعداد نتایج: 458 فیلتر نتایج به سال:
In this paper, we address the minimum energy broadcast (MEB) problem in wireless ad-hoc networks (WANETs). The researches in WANETs have attracted significant attentions, and one of the most critical issues in WSNs is minimization of energy consumption. In WANETs the packets have to be transported from a given source node to all other nodes in the network, and the objective of the MEB problem i...
Muscle-Eye-Brain disease (MEB) is a disorder with an autosomal recessive inheritance characterised by congenital muscle dystrophy, eye and brain abnormalities (Cormand et al., 1999). The onset is usually in the first 6 months of life. MEB presents with marked delay in development resulting in severe or profound learning disability, epilepsy, hypotonia and muscular contractures. A high prominent...
Fukuyama-type congenital muscular dystrophy (FCMD), Walker-Warburg syndrome (WWS), and muscle-eye-brain (MEB) disease are clinically similar autosomal recessive disorders characterized by congenital muscular dystrophy, lissencephaly, and eye anomalies. We identified the gene for FCMD and MEB, which encodes the fukutin protein and the protein O-linked mannose β1, 2-N-acetylglucosaminyltransferas...
We present a simple approximate algorithm to compute the Minimum Enclosing Ball (MEB) of training samples in high dimensional Euclidean space. We prove theoretically that the proposed algorithm converges to the optimum within any precision quickly. Compared to popular MEB algorithms, it has the competitive performances on both training time and accuracy. Besides, the proposed algorithm does not...
Walker-Warburg syndrome (WWS) is an autosomal recessive developmental disorder characterized by congenital muscular dystrophy and complex brain and eye abnormalities. A similar combination of symptoms is presented by two other human diseases, muscle-eye-brain disease (MEB) and Fukuyama congenital muscular dystrophy (FCMD). Although the genes underlying FCMD (Fukutin) and MEB (POMGnT1) have been...
The Small Set Expansion Hypothesis (SSEH) is a conjecture which roughly states that it is NPhard to distinguish between a graph with a small set of vertices whose expansion is almost zero and one in which all small sets of vertices have expansion almost one. In this work, we prove conditional inapproximability results for the following graph problems based on this hypothesis: Maximum Edge Bicli...
We study optimization methods for source-initiated energyefficient broadcast in all-wireless networks. The minimum energy broadcast (MEB) problem in wireless networks proved to be NP-complete [1,4]. Past studies on MEB problem [1,2,5,8,9] focus on deterministic optimization to construct energy-efficient broadcast tree. In this paper, we present a probabilistic optimization approach, the Randomi...
Serum creatine kinase levels after succinylcholine in children with "muscle, eye and brain disease".
Four boys belonging to a group of children affected by a rare form of muscular dystrophy with eye and brain involvement, termed the "muscle, eye and brain disease" (MEB), were anaesthetized for various eye examinations and surgery. On some occasions succinylcholine was used during anaesthesia and the initially elevated serum creatine kinase (CK) values increased from a range of 122 to 1200 unit...
We study the construction of the source-initiated (one-to-all) wireless broadcast tree to minimize the total required power for a given source node, a group of intended destination nodes and a given propagation constant, i.e., the power attenuation constant λ . The Minimum-Energy Broadcasting (MEB) problem has received much attention recently due to the two main challenges of mobile communicati...
The recent progress in speech and vision has issued from the increased use of machine learning. Not only does the machine learning provides many useful tools, it also help us to understand existing algorithms and their connections in a new light. As a powerful tool in machine learning, support vector machine (SVM) leads to an expensive computational cost in the training phase due to the large n...
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