نتایج جستجو برای: abc analysis
تعداد نتایج: 2836375 فیلتر نتایج به سال:
Dasatinib is a multikinase inhibitor in clinical trials for glioma, and thus far has failed to demonstrate significant efficacy. We investigated whether the ABC efflux transporters ABCG2 and ABCB1 expressed in the blood-brain barrier (BBB), are limiting the efficacy of dasatinib in the treatment of glioma using genetic and pharmacologic approaches. We utilized a genetic brainstem glioma mouse m...
To the Editor: The recent review by Waters and Nelson ‘Are all nonthymidine analogue backbones appropriate for treating antiretroviral-naı̈ve patients?’ (1) states incorrectly that the rates of hypersensitivity (HSR) in the Zodiac Study were significantly higher with abacavir (ABC) once daily than with ABC twice daily (8 vs. 5%, p < 0.02). In fact, the rates of suspected ABC HSR in the Zodiac St...
statement of the problem diagnosis of periodontal diseases without any accurate radiograph is inadequate. bitewing (bw) and periapical (pa) radiographic techniques are commonly used to assess alveolar bone crest (abc) level which is crucial in the evaluation of periodontal disease. purpose the purpose of this study was to compare the precision of bw and pa radiographs in determining the distanc...
Approximation Bayesian computation [ABC] is an analysis approach that has arisen in response to the recent trend to collect data that is of a magnitude far higher than has been historically the case. This has led to many existing methods become intractable because of difficulties in calculating the likelihood function. ABC circumvents this issue by replacing calculation of the likelihood with a...
Applying Activity Based Costing (ABC) Method to Calculate Cost Price in Hospital and Remedy Services
BACKGROUND Activity Based Costing (ABC) is one of the new methods began appearing as a costing methodology in the 1990's. It calculates cost price by determining the usage of resources. In this study, ABC method was used for calculating cost price of remedial services in hospitals. METHODS To apply ABC method, Shahid Faghihi Hospital was selected. First, hospital units were divided into three...
Approximate Bayesian computation (ABC) have become an essential tool for the analysis of complex stochastic models. Grelaud et al. (2009, Bayesian Ana 3:427–442) advocated the use of ABC for model choice in the specific case of Gibbs random fields, relying on a inter-model sufficiency property to show that the approximation was legitimate. We implemented ABC model choice in a wide range of phyl...
To elucidate the mechanisms underlying chromosomal translocations in diffuse large B cell lymphoma (DLBCL), we investigated the nature and extent of immunoglobulin class switch recombination (CSR) in these tumors. We used Southern blotting to detect legitimate and illegitimate CSR events in tumor samples of the activated B cell-like (ABC), germinal center B cell-like (GCB), and primary mediasti...
Resistance to chemotherapeutic agents remains one of themajor impediments to a successful treatment of chronic myeloid leukemia (CML). Misregulation of the activity of a specific group of ATP-binding cassette transporters (ABC) is responsible for reducing the intracellular concentration of drugs in leukemic cells. Moreover, a consistent body of evidence also suggests that ABC transporters play ...
The ABC conjecture of Masser and Oesterlé states that if (a, b, c) are coprime integers with a+ b+ c = 0, then sup(|a|, |b|, |c|) < cǫ(rad(abc)) 1+ǫ for any ǫ > 0. In [2], Oesterlé observes that if the ABC conjecture holds for all (a, b, c) with 16|abc, then the full ABC conjecture holds. We extend that result to show that, for every integer N , the “congruence ABC conjecture” that ABC holds fo...
Approximate Bayesian computation (ABC) is a powerful and elegant framework for performing inference in simulation-based models. However, due to the difficulty in scaling likelihood estimates, ABC remains useful for relatively low-dimensional problems. We introduce Hamiltonian ABC (HABC), a set of likelihood-free algorithms that apply recent advances in scaling Bayesian learning using Hamiltonia...
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