Surface-induced order and diffusion of 5CB liquid crystal confined to porous glass

Böhmer, Roland Vilfan, M. Apih, T. Gregorovic, A. Zalar, B. Lahajnar, G. Zumer, S. Hinze, G. Althoff, G. 2008-06-18 2008-06-18 2001 Vilfan, M.; Apih, T.; Gregorovic, A.; Zalar, B.; Lahajnar, G.; Zumer, …

Microsoft Word - Takara09-07proof.doc

was noted in the expression of CYP3A62 mRNA. Previously, we found that CYP3A9 and CYP3A18 mRNAs are readily detectable in the intestine, whereas CYP3A1 and CYP3A2 mRNAs were undetected by RT-PCR (Takara [...] in both CYP3A9 and CYP3A18 mRNA expression. Taking previous reports into consideration, the expression profile of CYP3A62 mRNA in the intestine appears similar to those of CYP3A9 and CYP3A18 mRNAs, but not [...] not CYP3A1 and CYP3A2 mRNAs. However, the expression pattern of CYP3A62 mRNA specifically in the bottom of the intestine was different from those of CYP3A9 and CYP3A18 mRNAs (Takara et al., 2003). In contrast …

DeepLearning on FPGAs - Introduction to Deep Learning

task Training data is used to define and solve the task A Method is a general approach / idea to solve a task A algorithm is a way to realise a method A model forms the extracted knowledge from data Accuracy [...] ∂E(x,y) ∂w (l) i,j and ∂E(x,y) ∂b (l) j Thus We need a more notation DeepLearning on FPGAs 24 MLPs A more detailed view x1 x2 ... xd ... i ... ... j ... bj w (l+1) ij M(l) M(l+1) l l + 1 output f (l) i ŷ [...] data DeepLearning on FPGAs 3 Recap Perceptron classifier A perceptron is a linear classifier f : Rd → {0, 1} with f̂(~x) = { +1 if ∑d i=1wi · xi ≥ b 0 else For learning 1: ~w = rand(1, . . . , d+ 1) 2: while …

Extrinsic Evaluation of Clusterings – Lecture Notes

}{}^2}} =\frac{\binom{N}{2}\hphantom{{}^2} (a+d) - \big((a+b)(a+c)+(c+d)(b+d)\big)} {\binom{N}{2}{}^2 \hphantom{(a+d)} - \big((a+b)(a+c)+(c+d)(b+d)\big)} \end{align*}\] Entropy and Mutual Information Entropy [...] Rand Index} & =\tfrac{\tfrac{a+d}{\textstyle \binom{N}{2}}\; -\; \tfrac{(a+b)(a+c)+(c+d)(b+d)}{\textstyle \binom{N}{2}{}^2}} {\enspace 1 \enspace\; - \; \tfrac{(a+b)(a+c)+(c+d)(b+d)}{\textstyle\binom{N}{2}{}^2}} [...] index} & = \tfrac {a+d}{a+b+c+d} = (a+d)/\textstyle \binom {N}{2} = \text{Accuracy} \\ \text{Fowlkes-Mallows} & = \sqrt{\text{Precision}\cdot \text{Recall}} = a\big/\sqrt{(a+b)\cdot (a+c)} \\ \text{Jaccard} …

Extrinsic Evaluation of Clusterings – Lecture Notes

}{}^2}} =\frac{\binom{N}{2}\hphantom{{}^2} (a+d) - \big((a+b)(a+c)+(c+d)(b+d)\big)} {\binom{N}{2}{}^2 \hphantom{(a+d)} - \big((a+b)(a+c)+(c+d)(b+d)\big)} \end{align*}\] Entropy and Mutual Information Entropy [...] Rand Index} & =\tfrac{\tfrac{a+d}{\textstyle \binom{N}{2}}\; -\; \tfrac{(a+b)(a+c)+(c+d)(b+d)}{\textstyle \binom{N}{2}{}^2}} {\enspace 1 \enspace\; - \; \tfrac{(a+b)(a+c)+(c+d)(b+d)}{\textstyle\binom{N}{2}{}^2}} [...] index} & = \tfrac {a+d}{a+b+c+d} = (a+d)/\textstyle \binom {N}{2} = \text{Accuracy} \\ \text{Fowlkes-Mallows} & = \sqrt{\text{Precision}\cdot \text{Recall}} = a\big/\sqrt{(a+b)\cdot (a+c)} \\ \text{Jaccard} …

iteratively by vaporizing aluminum wires with a diameter dw = 0.5 mm and a length of lw = 20 mm. A loading voltage U0 = 3 kV and a capacity C = 100 µF supplied a loading energy EC = 450 J. The parts were formed [...] to forming energy. Assuming a single extrusion stage as in Fig. 1 with a large opening angle, only a partial volume is formed per extrusion increment. This should lead to a constant extrusion progress [...] Schenck, C.; Kuhfuss, B.: Electromagnetic Embossing of Optical Microstructures, J. Micro Nano-Manuf. (2016) Langstädtler, L.; Pegel, H.; Beckschwarte, B.; Herrmann, M.; Schenck, C.; Kuhfuss, B.: Electrohydraulic …