Intelligent and Biosensors 2012 Part 11 pot

Intelligent and Biosensors 2012 Part 11 pot

Intelligent and Biosensors 2012 Part 11 pot

... Fe 3 O 4 @SiO 2 nanoparticles, and afterward the matrix entrapped the enzyme and the nanoparticles at the same time. Intelligent and Biosensors 260 Table 4 shows a partial list of the ... Aldrich, Merck and Sigma, Intelligent and Biosensors 244 Richardson, R. J.; Worden, R. M. & Makhaeva, G. F. (2009). Biomarkers and biosensors of delayed neuropathic...

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Intelligent and Biosensors 2012 Part 2 pot

Intelligent and Biosensors 2012 Part 2 pot

... discrimination between left and right hand movement imagination. These frequency bands varied between 9 and 14 Hz and between 18 and 26 Hz. 4.2 Cross-correlation between EEG band powers In the case ... activities. These activities are usually not restricted to a particular frequency band or scalp location and usually cover Intelligent and Biosensors 36 (3) • Compl...

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Intelligent and Biosensors 2012 Part 7 pot

Intelligent and Biosensors 2012 Part 7 pot

... Postures to Transfer Social Cues into Robot 159 in Fig .11 and Fig.12, which represent the right hand elbow angle (Fig .11) , and right hand shoulder twist angle (Fig.12). The data of the angles ... state s i to another state s k with i<k, and a state transit cannot be at a similar state (no link between s i and s i ). Intelligent and Biosensors 158 Also, a...

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Intelligent and Biosensors 2012 Part 8 pot

Intelligent and Biosensors 2012 Part 8 pot

... μm, and w c = 5 μm, and (c) GMR behaviour. GMR biosensor structure and its GMR behaviour for the before and after patterning, and for the hard axis response are shown in Figs. 8(b), and (c), ... H b , and the h are fixed at a 50 Oe, and a 30 nm, resepctively for precise comparison. The CoFe 2 O 4 FNSA, and SPNSA has a mean particle size of 26 nm and 7 nm, resepctiv...

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Intelligent and Biosensors 2012 Part 16 potx

Intelligent and Biosensors 2012 Part 16 potx

... J.T., Dearfield, K.L., Farland, W.H., (2006). A framework for the use of genomics data at the EPA. Nat. Biotechnol., 24, 110 8 111 1. Donlan, A. M., Moody, G.J. and Thomas, J.D.R., (1989). The ... preferential ligands, octanal, produced strong and dose-dependent sensor responses. This device did not respond to several other odorant non-ligands. This work Intelligent and Biosen...

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Tribology Lubricants and Lubrication 2012 Part 11 pot

Tribology Lubricants and Lubrication 2012 Part 11 pot

... Sample F 2.4-2.9 116 ° 1.1-1.5 89° Sample G 2.3-2.7 110 ° 2.1-2.5 107° Sample H 2.3-2.7 111 ° 1.9-2.5 108° Table 4. Film thickness and water contact angle before and after the abrasion ... nitrogen-based, and a large non polar group. The polar group associates with the polar particles, and the non polar group keeps such particles suspended in the bulk lubricant. This i...

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Intelligent and Biosensors 2012 Part 1 doc

Intelligent and Biosensors 2012 Part 1 doc

... Biosensor Systems: 3. Thick-Film Biosensors for Organophosphate and Carbamate Pesticide Determination 185 V. Somerset, P. Baker and E. Iwuoha Intelligent and Biosensors 12 In this way, ... current. V A and i A are the primary voltage and current, respectively. The secondary current is given as i B , and the induced secondary winding voltage is V B . R A an...

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Intelligent and biosensors 2012 Part 5 doc

Intelligent and biosensors 2012 Part 5 doc

... Intelligent and Biosensors 112 The substrate concentration 0 S , the pH and the temperature T are the three input variables of the fuzzy inference system, i.e. 01 Sx ← , pHx ← 2 and ... temperature and the pH (separately) are shown in Fig.11a and Fig.11b, respectively. For the sake of clarity of simulations and a good visualization, discrete steps mM071.0 , C1 0...

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Intelligent and Biosensors 2012 Part 6 pdf

Intelligent and Biosensors 2012 Part 6 pdf

... 0.852 11. 5 10.75 6.54 11. 57 0.62 11. 56 0.54 11. 504 0.03 11. 66 1.42 2 6.5 0.426 56.0 56 .11 0.42 55.37 1 .11 55.38 1.10 55.37 1.12 55.37 1.13 3 7.5 0.426 55.0 55.37 0.85 55.12 0.21 55.10 0.18 55 .11 ... the e ctrode c es, the R ) and Intelligent and Biosensors 118 The fuzzy model was simulated in MATLAB environment using a number of assignment input samples an...

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Intelligent and Biosensors 2012 Part 9 pdf

Intelligent and Biosensors 2012 Part 9 pdf

... response of B394 + PTE and Electric eel biosensors and was applied when the concentration of CPO was high and the other, modelling the combined response of B394 + PTE and B394 biosensors, was applied ... 2009). Intelligent and Biosensors 206 or even better analytical performances than the traditional chromatographic systems. Ideally, such sensors should be small, che...

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