An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network

IEEE Motivated by the practical demands for simplification of data towards being consistent with human thinking and problem solving as well as tolerance of uncertainty, information granules are becoming important entities in data processing at different levels of data abstraction. This paper proposes a method to construct classifiers from multi-resolution hierarchical granular representations (MRHGRC) using hyperbox fuzzy sets. The proposed approach forms a series of granular inferences hierarchically through many levels of abstraction. An attractive characteristic of our classifier is that it can maintain a high accuracy in comparison to other fuzzy min-max models at a low degree of granularity based on reusing the knowledge learned from lower levels of abstraction. In addition, our approach can reduce the data size significantly as well as handle the uncertainty and incompleteness associated with data in real-world applications. The construction process of the classifier consists of two phases. The first phase is to formulate the model at the greatest level of granularity, while the later stage aims to reduce the complexity of the constructed model and deduce it from data at higher abstraction levels. Experimental analyses conducted comprehensively on both synthetic and real datasets indicated the efficiency of our method in terms of training time and predictive performance in comparison to other types of fuzzy min-max neural networks and common machine learning algorithms

A Fourier-series-based virtual fields method for the identification of three-dimensional stiffness distributions and its application to incompressible materials

We present an inverse method to identify the spatially varying stiffness distributions in 3 dimensions. The method is an extension of the classical Virtual Fields Method—a numerical technique that exploits information from full-field deformation measurements to deduce unknown material properties—in the spatial frequency domain, which we name the Fourier-series-based virtual fields method (F-VFM). Three-dimensional stiffness distributions, parameterised by a Fourier series expansion, are recovered after a single matrix inversion. A numerically efficient version of the technique is developed, based on the Fast Fourier Transform. The proposed F-VFM is also adapted to deal with the challenging situation of limited or even non-existent knowledge of boundary conditions. The three-dimensional F-VFM is validated with both numerical and experimental data. The latter came from a phase contrast magnetic resonance imaging experiment containing material with Poisson's ratio close to 0.5; such a case requires a slightly different interpretation of the F-VFM equations, to enable the application of the technique to incompressible materials

Efek Infusa Daun Mangifera Foetida L. Terhadap Kadar Albumin Dan Total Protein Serum Tikus Dengan Kekurangan Energi Protein

Albumin sebagai komponen terbesar serum protein merupakan penanda paling sering untuk status gizi. Kekurangan energi protein (KEP) dapat mengurangi kadar albumin serum ini. Mangga bacang adalah tanaman khas Kalimantan Barat yang mengandung berbagai metabolit sekunder pada daunnya. Penelitian ini akan melihat efek infusa daun mangga bacang terhadap kadar albumin dan protein total serum tikus yang mengalami KEP. Penelitian ini merupakan penelitian eksperimental dengan desain penelitian post-test only with control groups. Tiga puluh tikus berusia 3 minggu dibagi dalam 3 kelompok: normal (n=6), restriksi (n=6) dan tikus yang diberikan infusa (infusa, n=18 dengan dosis 10 mg/kgBB, 20 mg/kgBB dan 40 mg/kgBB). Kadar albumin and protein total diukur menggunakan metode Bromocresol Green dan biuret. Kadar albumin dan total protein serum kelompok restriksi lebih rendah dibandingkan dengan kelompok normal (p=0,000). Terjadi peningkatan kadar serum albumin dan total protein dari 3 kelompok infusa yang berbanding lurus dengan dosis infusa yang diberikan dengan peningkatan tertinggi adalah pada pemberian dosis 40 mg/kgBB (p=0,006 dan p=0,024). Pemberian infusa daun mangga bacang dapat meningkatkan kadar serum albumin dan total protein tikus yang mengalami KEP

High expression of biglycan is associated with poor prognosis in patients with esophageal squamous cell carcinoma

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Investigation of the shape change of bio-flocs and its influence on mass transport using particle image velocimetry

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Multifunctional materials for OFETs, LEFETs and NIR PLEDs

The authors would like to thank the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 212311 of the ONE-P project, Chalmers Areas of Advance, Materials Science and the national research fund of Korea (2013R1A1A3011492, 2013K14A3055679) for funding

Efficient red electroluminescence from diketopyrrolopyrrole copolymerised with a polyfluorene

We thank the EC Seventh Framework Programme (FP7/2007-2013) under Grant Agreement No. 212311 (ONE-P), the RTN THREADMILL (EU-Contract No.: MRTN-CT-2006-036040), the ITNs SUPERIOR (PITN-CT-2009-238177), and CONTEST (PITN-CT-2012-317488) as well as the Royal Society, and EPSRC for funding