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Titlebook: Autoimmune Diseases; Acute and Complex Si Munther A. Khamashta,Manuel Ramos-Casals Book 2011 Springer-Verlag London Limited 2011

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21#
發(fā)表于 2025-3-25 05:37:08 | 只看該作者
22#
發(fā)表于 2025-3-25 10:19:38 | 只看該作者
23#
發(fā)表于 2025-3-25 11:58:09 | 只看該作者
24#
發(fā)表于 2025-3-25 17:17:44 | 只看該作者
Characterisation of Deep Layers of Tissue and Powders: Spatially Offset Raman and Transmission RamaThis chapter reviews emerging techniques for deep, non-invasive Ramanspectroscopy of diffusely scattering media. As generic analytical tools, these methodspave the way for a host of new applications including non-invasive disease diagnosis,chemical identification and characterisation of pharmaceutical products.
25#
發(fā)表于 2025-3-25 20:21:07 | 只看該作者
A Self-Organized Fuzzy Neural Network Approach for Rule Generation of Fuzzy Logic SystemsThis paper shows an algorithm for creating fuzzy logic systems from data by synchronizing its fuzzy sets and rules using a novel neuro fuzzy approach to generate rules and fuzzy sets from analyzing input data. A volatile time series example is solved and analyzed using the residuals of the model.
26#
發(fā)表于 2025-3-26 00:41:59 | 只看該作者
27#
發(fā)表于 2025-3-26 05:25:19 | 只看該作者
A New Result of Periodic Oscillations for a Six-Neuron BAM Neural Network ModelThis paper discusses the existence of periodic solutions in a six neurons BAM network model. By means of Chafee’s criterion of limit cycle, some sufficient conditions to guarantee the existence of periodic solutions for the system are provided. Computer simulations verify the correctness of the results.
28#
發(fā)表于 2025-3-26 10:52:26 | 只看該作者
Deriving efficient parallel implementations of algorithms operating on general sparse matrices using automatic program transformation,We show how efficient implementations can be derived from high-level functional specifications of numerical algorithms using automatic program transformation. We emphasize the automatic tailoring of implementations for manipulation of sparse data sets. Execution times are reported for a conjugate gradient algorithm.
29#
發(fā)表于 2025-3-26 12:52:24 | 只看該作者
30#
發(fā)表于 2025-3-26 18:59:35 | 只看該作者
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