نتایج جستجو برای: strength margin
تعداد نتایج: 240152 فیلتر نتایج به سال:
Background: Conservative management is generally the primary treatment for intramuscular hemangimas. However,many patients will require surgery later in their life, after suffering a long period of pain. We aimed to evaluate theoncologic and functional outcomes of surgery as the initial treatment of single-muscle hemangiomas.Methods: Medical profiles of 17 patients with hemang...
Chlorophyll fluorescence imaging provides a non-invasive and non-destructive means with which to measure photosynthesis. This technique has been used, in combination with 14CO2 feeding, to study the spatial and temporal changes in source-sink relationships which occur in mechanically wounded leaves of Arabidopsis thaliana. Twenty-four hours after wounding, cells proximal to the wound margin sho...
اَبَر بتن خودمتراکم (high performance high strength self compacting concrete, hphsscc)، بتن نسبتا جدیدی است بدون نیاز به ویبره و با مقاومتی حدود 800 kg/cm2 که در صورت استفاده از آن در سیستم های پس تنیده، صرفه جوئی های بیشتری نسبت به چنین بتن هائی با نیاز به ویبره را بدست خواهد داد.
Compared to binary logic, the multi-valued logic circuits provide very small chip size, higher speed, and small number of interconnections and simpler realization of logic functions. However, the main drawback of these circuits is the lower noise margin. The noise margin decreases as the radix of multi-valued system increases. Due to the low noise margins, it is necessary to restore or recover ...
We generalize Sauer’s Lemma to finite V C-dimension classes H of binary-valued functions on [n] = {1, . . . , n} which have a margin of at least N on every element in a sample S ⊆ [n] of cardinality l, where the margin μh(x) of h ∈ H on a point x ∈ [n] is defined as the largest non-negative integer a such that h is constant on the interval Ia(x) = [x− a, x+ a].
The nearest neighbor classification is a simple and yet effective technique for pattern recognition. Performance of this technique depends significantly on the distance function used to compute similarity between examples. Some techniques were developed to learn weights of features for changing the distance structure of samples in nearest neighbor classification. In this paper, we propose an ap...
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