Personality Recognition For Deception Detection

Personality aims at capturing stable individual characteristics, typically measurable in quantitative terms, that explain and predict observable behavioral differences. Personality has been proved to be very useful in many life outcomes, and there has been huge interests on predicting personality automatically. Previously, there are tremendous amount of approaches successfully predicting personality. However, most previous research on personality detection has used personality scores assigned by annotators based solely on the text or audio clip, and found that predicting self-reported personality is a much more difficult task than predicting observer-report personality. In our study, we will demonstrate how to accurately detect self-reported personality from speech using various technique include feature engineering and machine learning algorithms. Individual speaker differences such as personality play an important role in deception detection, adding considerably to its difficulty. We therefore hypothesize that personality scores may provide useful information to a deception classifier, helping to account for interpersonal differences in verbal and deceptive behavior. In final step of this study, we focus upon the personality differences between deceivers as well as their common characteristics. We helped collect within- and cross-cultural data to train new automatic procedures to identify deceptive behavior in American and Mandarin speakers. We examined whether personality recognition can help to predict individual differences in deceivers’ behavior. Therefore, we embedded personality recognition classifier into the deception classifier using deep neural network to improve the performance of deception detection

Outage-Constrained Beamforming for Two-Tier Massive MIMO Downlink with Pilot Reuse

Massive multiple-input multiple-output (MIMO) systems and small cell networks are both regarded as promising candidates to meet the exponential growth of mobile data traffic for the next generation (5G) wireless communications. Hence, a new kind of multitier networks which combine massive MIMO macro cells with a secondary tier of small cells is proposed to resolve the contradiction of large network coverage and high data rate. In such multitier networks, it is inevitable to allocate nonorthogonal uplink pilot sequences to user equipment (UE) due to the large number of users. We propose a pilot reuse scheme by exploiting the unique architecture of this networks and analyse the special mixed channel state information (CSI) yielded by the pilot reuse scheme. Based on the mixed CSI, we formulate a downlink transmit beamforming problem of minimizing the total power consumption while satisfying the quality of service (QoS) requirements with outage constraints. After decomposing the original problem into simpler subproblems, we provide an efficient algorithm to combine these subproblems and solve them iteratively for generating the beamforming vectors. Monte Carlo simulations show that the average power consumption of the proposed pilot reuse scheme and its associated beamforming algorithm is close to that of the perfect CSI case

Effects of 1.84 GHz radio-frequency electromagnetic field on sperm maturation in epididymis microenvironment

In recent years, intense interest has been drawn to the effects of radio-frequency electromagnetic field (RF-EMF) on reproduction. To explore the effects of RF-EMF on sperm maturation in epididymis microenvironment, 24 male Sprague Dawley (SD) rats were randomly divided into three exposed groups (SAR 1, 2 and 4 W/kg) and one sham group. The rats in exposed group were exposed to 1.84 GHz RFEMF for 5 days (1 h/day). After that, the rats were anaesthetized immediately and epididymis were taken out. Half of them were fixed in 4% formalin and the others were placed in tissue homogenate. The morphology of sperm and microstructure of epididymis were observed under microscope after hematoxylin eosin (HE) staining. Expression of Bin1b protein was detected by immunohistochemistry; the level of glutathione (GSH) and enzymes including superoxide dismutase (SOD), acid  phosphatase (ACP), alkaline phosphatase (ALP) and disaccharidase were determined by commercial kits. It was found that,  compared with sham group, the sperm morphology and microstructure of epididymis did not change obviously; similarly, there was no significant change in Bin1b protein expression and the levels of GSH, SOD, ACP and ALP in exposure group. These results  suggest that 1.84 GHz RF-EMF under this experimental condition could not affect the sperm maturation in epididymis  microenvironment of SD rats.Keywords: 1.84 GHz, radio-frequency electromagnetic field (RF-EMF), epididymis, sperm maturation, Bin1

Outage-constrained beamforming for two-tier massive MIMO downlink with pilot reuse

Massive multiple-input multiple-output (MIMO) systems and small cell networks are both regarded as promising candidates to meet the exponential growth of mobile data traffic for the next generation (5G) wireless communications. Hence, a new kind of multitier networks which combine massive MIMO macro cells with a secondary tier of small cells is proposed to resolve the contradiction of large network coverage and high data rate. In such multitier networks, it is inevitable to allocate nonorthogonal uplink pilot sequences to user equipment (UE) due to the large number of users. We propose a pilot reuse scheme by exploiting the unique architecture of this networks and analyse the special mixed channel state information (CSI) yielded by the pilot reuse scheme. Based on the mixed CSI, we formulate a downlink transmit beamforming problem of minimizing the total power consumption while satisfying the quality of service (QoS) requirements with outage constraints. After decomposing the original problem into simpler subproblems, we provide an efficient algorithm to combine these subproblems and solve them iteratively for generating the beamforming vectors. Monte Carlo simulations show that the average power consumption of the proposed pilot reuse scheme and its associated beamforming algorithm is close to that of the perfect CSI case. © 2015 Guozhen Xu et al

Visualizing and Analyzing Video Content With Interactive Scalable Maps

Visualizing and communicating insights through maps offers an intuitive and familiar way to explore large-scale dynamic relational data. In this paper, we present VideoMap, which is a novel approach for presenting and interacting with relational video content by taking advantage of the map metaphor. VideoMap employs a metaphor to visualize video content by elements of a map with the aim of enabling exploration of video content as if reading a map. Video content is visualized in a hierarchal structure from a very large scale to a small scale of finely detailed representation. VideoMap recognizes a small set of sketch gestures for semantic zooming in and out, annotating the map, and automatically completing path navigation. To achieve this, VideoMap synthesizes map-derived visuals and binds them to the underlying data by operating the map with sketch interaction to facilitate interactive exploration. Extensive user studies were conducted to evaluate VideoMap, and the results demonstrated the effectiveness of VideoMap for facilitating the exploration and understanding of large video content.</p

Joint user scheduling and antenna selection in distributed massive MIMO systems with limited backhaul capacity

Massive MIMO systems offer a high spatial resolution that can drastically increase the spectral and/or energy efficiency by employing a large number of antennas at the base station (BS). In a distributed massive MIMO system, the capacity of fiber backhaul that links base station and remote radio heads is usually limited, which becomes a bottleneck for realizing the potential performance gain of both downlink and uplink. To solve this problem, we propose a joint antenna selection and user scheduling which is able to achieve a large portion of the potential gain provided by the massive MIMO array with only limited backhaul capacity. Three sub-optimal iterative algorithms with the objective of sum-rate maximization are proposed for the joint optimization of antenna selection and user scheduling, either based on greedy fashion or Frobenius-norm criteria. Convergence and complexity analysis are presented for the algorithms. The provided Monte Carlo simulations show that, one of our algorithms achieves a good tradeoff between complexity and performance and thus is especially fit for massive MIMO systems. © 2013 IEEE

Characterization of a Murine Model for Encephalitozoon hellem Infection after Dexamethasone Immunosuppression

Background: Encephalitozoon hellem (E. hellem) belongs to a group of opportunistic pathogens called microsporidia. Microsporidia infection symptoms vary and include diarrhea, ocular disorders and systemic inflammations. Traditionally, immunodeficient animals were used to study microsporidia infection. To overcome the difficulties in maintenance and operation using immunodeficient mice, and to better mimic natural occurring microsporidia infection, this study aims to develop a pharmacologically immunosuppressed murine model of E. hellem infection. Methods: Wild-type C57BL/6 mice were immunosuppressed with dexamethasone (Dex) and then E. hellem spores were inoculated into the mice intraperitoneally. Control groups were the Dex-immunosuppressed but noninoculated mice, and the Dex-immunosuppressed then lipopolysaccharide (LPS)-treated mice. Mice body weights were monitored and all animals were sacrificed at the 15th day after inoculation. Tissue fragments and immune cells were collected and processed. Results: Histopathological analysis demonstrated that E. hellem inoculation resulted in a disseminated nonlethal infection. Interestingly, E. hellem infection desensitized the innate immunity of the host, as shown by cytokine expressions and dendritic cell maturation. We also found that E. hellem infection greatly altered the composition of host gut microbiota. Conclusions: Dex-immunosuppressed mice provide a useful tool for study microsporidiosis and the interactions between microsporidia and host immunity

Immunization trials with an avian chlamydial MOMP gene recombinant adenovirus

Chicks were inoculated with a live vector vaccine of avian chlamydial MOMP gene recombinant adenovirus to evaluate efficacy, safety and viability of the vaccine. Five batches of the recombinant adenovirus vaccines, which were prepared using the 22nd generation avian chlamydial MOMP gene recombinant adenovirus cultured in HEK293 cells, were used to vaccinate 7 days-old chicks negative for chlamydial antibody. The recombinant adenovirus vaccine was shown to be both safe and effective in inducing specific immunity in vaccinated chicks