Films of Sb : SnO2 have been formed by vacuum e-beam evaporation. The structural, electrical, and optical properties of these films have been investigated with respect to annealing time and temperature. After heat treatment in an oxygen atmosphere, thin films with a peak transmittance of 98% and 4–9 × 10−3 Ωcm resistivity have been obtained. The barrier heights and energy band diagrams of Sb : SnO2/Si n-n and p-n heterojunctions have been determined by C-V measurements.

Visible electroluminescence with a peak wavelength of 6300 Å is observed from forward-biased porous Si p-n diodes with conducting polymer contacts. These devices have brighter electroluminescence than similar devices with thin, gold-film contacts. Electroluminescence is also observed from conducting polymer/n-porous Si diodes.

We explore the conjectured duality between the critical O(N) vector model and minimal bosonic massless higher spin (HS) theory in AdS. In the free boundary theory, the conformal partial wave expansion (CPWE) of the four-point function of the scalar singlet bilinear is reorganized to make it explicitly crossing-symmetric and closed in the singlet sector, dual to the bulk HS gauge fields. We are able to analytically establish the factorized form of the fusion coefficients as well as the two-point function coefficient of the HS currents. We insist in directly computing the free correlators from bulk graphs with the unconventional branch. The three-point function of the scalar bilinear turns out to be an "extremal" one at d = 3. The four-point bulk exchange graph can be precisely related to the CPWs of the boundary dual scalar and its shadow. The flow in the IR by Legendre transforming at leading 1/N, following the pattern of double-trace deformations, and the assumption of degeneracy of the hologram lead to the CPWE of the scalar fourpoint function at IR. Here we confirm some previous results, obtained from more involved computations of skeleton graphs, as well as extend some of them from d = 3 to generic dimension 2 < d < 4.

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Qualitative probabilistic networks (QPNs) are a qualitative abstraction of Bayesian networks, which focus on the monotonic relationship between variables. However, sometimes we don't care about this monotonic relationship, but more concerned about the change of probability of the variable comparing with its prior probability. In this paper, we propose a new qualitative abstraction of Bayesian networks-PQPNs (prior qualitative probabilistic networks) that focuses on the prior probability distribution. We analyze the properties of PQPN, namely symmetry, transitivity and composition. Further, we design a sign propagation algorithm of PQPN, and describe the relationship between QPN and PQPN. Finally, through an experiment, we show that PQPNs have an advantage over QPNs.