An improved advertising CTR prediction approach based on the fuzzy deep neural network

<div><p>Combining a deep neural network with fuzzy theory, this paper proposes an advertising click-through rate (CTR) prediction approach based on a fuzzy deep neural network (FDNN). In this approach, fuzzy Gaussian-Bernoulli restricted Boltzmann machine (FGBRBM) is first applied to input raw data from advertising datasets. Next, fuzzy restricted Boltzmann machine (FRBM) is used to construct the fuzzy deep belief network (FDBN) with the unsupervised method layer by layer. Finally, fuzzy logistic regression (FLR) is utilized for modeling the CTR. The experimental results show that the proposed FDNN model outperforms several baseline models in terms of both data representation capability and robustness in advertising click log datasets with noise.</p></div

General Rules for Optical Activity in Light Scattering of Plasmonic Nanostructures

We study the general properties of optical activity of plasmonic nanostructures in theory using the eigenmode technique for light-scattering problem. Explicit formulas for the optical rotational strengths associated with the resonance modes and their sum rule are derived for plasmonic nanostructures. Moreover, relations between symmetry and optical activity are discussed. How optical activity arises from symmetry breaking is investigated by introducing dissymmetric parts to a symmetric achiral nanostructure, and a linear dependence of the optical rotational strength on the volume of dissymmetric parts is revealed. This work not only establishes a theoretical framework for studying chiral plasmonic nanostructures but also provides guidelines for tailoring their optical activities

Study on Enhancement Mechanism of Conductivity Induced by Graphene Oxide for Polypyrrole Nanocomposites

Polypyrrole (PPy)/graphene oxide (GO) nanosheet composites with different GO content have been successfully prepared. The morphology, microstructure, defect property and conducting mechanism were examined by Raman spectroscopy, Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron microscope (FE-SEM), X-ray photoelectron spectra (XPS), positron annihilation technology (PAT), and electrical conductivity measurements for PPy/GO conducting nanocomposites, respectively. Experimental results indicated that PPy was deposited onto the GO surface homogeneously. Four orders of magnitude increase in electrical conductivity was successfully achieved with small quantities of GO compared to pristine PPy. In order to elucidate the conducting mechanism, an electron transfer model was used to describe bipolaronic formation, which can be confirmed by XPS and positron annihilation parameters measured including positron annihilation lifetimes, positron annihilation Doppler broadening spectroscopy (DBS) and continuous distribution of positron lifetime. Electronic conductivity enhancement can be attributed to (a) the interfacial interaction between the GO layers and PPy results in the electron transfer, which leads to the increase of bipolaronic concentration, and (b) the π–π stacking between the GO layers and PPy can improve the conjugation degree of the PPy chains and the longer conjugation length makes the conducting particle delocalization more easily, leading to the increase in electron mobility. On the other hand, the continuous conducting network structure of graphene nanosheets homogeneously dispersed in the PPy matrix and carriers between localized states formed at the graphene–PPy interfaces where hopping occurred, also result in increase of conductivity

Lithium Sulfonate/Carboxylate-Anchored Polyvinyl Alcohol Separators for Lithium Sulfur Batteries

A monolayer poly­(vinyl alcohol) (PVA)-based separator with pendant sulfonate/carboxylate groups and compact morphology is synthesized to suppress the essential lithium polysulfide permeation in lithium sulfur batteries (LSBs). The Li⁺ transference number is significantly increased to 0.8, much higher than that of a commercial separator (0.43). The polysulfide retention is verified by idle test in a polysulfide-rich electrolyte under the internal electric field of the cell. The LSB with an additive-free electrolyte attains a Coulombic efficiency around 98% and delivered capacity of 804 mA h g^–1 at 2.5 A g^–1. After 500 cycles, it retains 901 mA h g^–1 at 1.5 A g^–1 with extra low fading rate of 0.016% per cycle. Overall, this monolayer PVA-based separator provides a facile and effective technique to assemble highly stable LSBs