منابع مشابه
improved mit bag model with hyper central interacting potential
an improved mit bag model with hyper central interactions is used to calculate the staticproperties of hadrons containing u, d, s and c quarks. we present a theoretical approach to the internalstructure of three-body hyper central interacting quarks in a hadron, in which we take hadron as a bag.we discuss a few of the results obtained using a six-dimension harmonic oscilator (h.o) potential, ha...
متن کاملImproved segmentation of white matter tracts with adaptive Riemannian metrics
We present a novel geodesic approach to segmentation of white matter tracts from diffusion tensor imaging (DTI). Compared to deterministic and stochastic tractography, geodesic approaches treat the geometry of the brain white matter as a manifold, often using the inverse tensor field as a Riemannian metric. The white matter pathways are then inferred from the resulting geodesics, which have the...
متن کاملمدل سازی ریاضی خشک شدن همرفتی یک ماده منفرد توسط یک مدل لامپ توسعه یافته (improved lumped model)
در این تحقیق، خشک شدن یک ذره منفرد در هوا با شرایط ثابت توسط مدل های لامپ ساده و توسعه یافته و همچنین روش گسترش یافته، شبیه سازی شده است. در مدل های پیشنهادی با حل همزمان معادلات بقا جرم و انرژی، توزیع رطوبت و دمای ماده در حین خشک شدن پیش بینی می گردند. مدل لامپ توسعه یافته که ساده تر از مدل های توزیع یافته است بر اساس روش تقریب چند جمله ای(polynomial approximation) و همچنین روش تقریب هرمیت(he...
15 صفحه اولImproved prediction of Alzheimer's disease with longitudinal white matter/gray matter contrast changes.
Brain morphometry measures derived from magnetic resonance imaging (MRI) are important biomarkers for Alzheimer's disease (AD). The objective of the present study was to test whether we could improve morphometry-based detection and prediction of disease state by use of white matter/gray matter (WM/GM) signal intensity contrast obtained from conventional MRI scans. We hypothesized that including...
متن کاملAn Improved Hybrid Model with Automated Lag Selection to Forecast Stock Market
Objective: In general, financial time series such as stock indexes have nonlinear, mutable and noisy behavior. Structural and statistical models and machine learning-based models are often unable to accurately predict series with such a behavior. Accordingly, the aim of the present study is to present a new hybrid model using the advantages of the GMDH method and Non-dominated Sorting Genetic A...
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ژورنال
عنوان ژورنال: Physical Review D
سال: 2011
ISSN: 1550-7998,1550-2368
DOI: 10.1103/physrevd.83.055016