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The aim of this study is to assess the HIV/syphilis epidemic among men who have sex with men (MSM) aged

This study was aimed to estimate the prevalences of chlamydia (CT) and gonococcal (NG) infections and explore risk factors associated with the CT infection among women in Shenzhen, China. We collected socio-demographic and clinical data from women (aged 20-60) and determined positivity of CT or NG by nucleic acid amplification test (NAAT) with self-collected urine specimens. We estimated prevalence of CT and NG and determined risk factors associated with CT infection. Among 9,207 participants, 4.12% (95% confidence interval [CI], 3.71%-4.53%) tested positive for CT and 0.17% (95% CIs, 0.09%-0.25%) for NG. Factors significantly associated with CT infection included being an ethnic minority (ethnicity other than Han China) (Adjusted odds ratio [AOR], 1.9; 95% CI, 1.2-3.0), using methods other than condom for contraception (AOR, 1.5; 95% CI, 1.2-1.8), having a history of adverse pregnancy outcomes (AOR, 1.4; 95% CI, 1.1-1.8), and experiencing reproductive tract symptoms in the past three months (AOR, 1.3; 95% CI, 1.0-1.7). we found that CT infection is prevalent among women in Shenzhen, China and associated with both demographic and behavioral factors. A comprehensive CT screening, surveillance and treatment programme targeting this population is warranted.

[This corrects the article DOI: 10.1371/journal.pone.0196516.].

BACKGROUND: An increasing incidence of anal cancer among men, especially men who have sex with men (MSM) suggests a need to better understand anal human papillomavirus (HPV) infection among this group. METHODS: A cross-sectional study was conducted among MSM in Shenzhen, China. Blood was collected for HIV serological testing and syphilis serological screening, and anal swabs were collected for HPV genotyping. Difference of HPV prevalence between HIV seropositive and HIV seronegative MSM was assessed by chi-square test. Factors associated with anal canal HPV infection were assessed by univariate and multivariate logistic regression. RESULTS: A total of 408 MSM were recruited. HIV and HPV prevalence were 6.9% and 36.4%, respectively. HPV was detected in the anal canal in 71.4% of the HIV-positive MSM and in 33.8% of the HIV-negative MSM (P

The article discusses a macroblock-based algorithm for an efficient implementation of the MPEG video streaming system in order to provide backward play over a network with minimal requirements on the network bandwidth and decoder complexity.

Reverse playback is the most common video cassette recording (VCR) function in digital video players and it involves playing video frames in reverse order. However, the predictive processing techniques employed in MPEG severely complicate the reverse-play operation. For displaying single frame during reverse playback, all frames from the previous I-frame to the requested frame must be sent by the server and decoded by the client machine. It requires much higher bandwidth of the network and complexity of the decoder. In this paper, we propose a compressed-domain approach for an efficient implementation of the MPEG video streaming system to provide reverse playback over a network with the minimal requirements on the network bandwidth and the decoder complexity. In the proposed video streaming server, it classifies macroblocks in the requested frame into two categories--backward macroblocks (BMBs) and forward macroblock (FMBs). Two novel MB-based techniques are used to manipulate the necessary MBs in the compressed domain and the server then sends the processed MBs to the client machine. For BMBs, we propose a sign inversion technique, which is operated in the variable length coding (VLC) domain, to reduce the number of MBs that need to be decoded by the decoder and the number of bits that need to be sent over the network in the reverse-play operation. The server also identifies the previous related MBs of FMBs and those related maroblocks coded without motion compensation are then processed by a technique of direction addition of discrete cosine transform (DCT) coefficients to further reduce the computational complexity of the client decoder. With the sign inversion and direct addition of DCT coefficients, the proposed architecture only manipulates MBs either on the VLC domain or DCT domain to achieve the server with low complexity. Experimental results show that, as compared to the conventional system, the new streaming system reduces the required network bandwidth and the decoder complexity significantly. Index Terms--Compressed-domain processing, digital video cassette recording (VCR), MPEG video, streaming video.

Simultaneous multitarget vital signs measurement has become a hot issue for noncontact vital signs perception. However, there is still challenge in the multitarget heartbeat measurement due to the weakness of heartbeat signal and interference from complex environment. In this article, a new multiple-input–multiple-output (MIMO) continuous-wave (CW) radar system equipped with 2-D digital beamforming (DBF) is presented to measure the respiration and heartbeat of multiple human subjects at unknown positions simultaneously. Through 2-D beam scanning of the whole scene, a 2-D radar image is generated. From the image, the chest motion of multiple targets is accurately located. Then, the vital signs of targets are obtained through forming individual beams focusing on the chests of targets. Moreover, the low intermediate frequency (low-IF) architecture is adopted to minimize the impact of flicker noise in low-frequency amplifier stages. The experimental results demonstrate that the proposed MIMO 2-D imaging radar system can locate chest areas of multiple targets, suppress the clutters, and make vital signs measurement, heartbeat measurement in particular, more robust compared with single-input–multiple-output (SIMO) radar system in complex environment. [ABSTRACT FROM AUTHOR]

Emotion recognition has a significant impact on people’s health and life quality. Recent studies have shown that emotion recognition can be achieved by analyzing audio-visual emotion channels and physiological signals. However, the main challenges are: 1. the audio-visual techniques can be easily fooled by fake facial expressions; 2. the contact physiological signal monitoring introduces additional stress and is usually unsuitable for long-term monitoring; 3. The non-contact physiological signal monitoring methods are easily affected by complex environmental conditions. In this paper, a non-contact dual-modality emotion recognition system is proposed. First, the respiratory and heartbeat signals are measured by radar and camera simultaneously. Then, a hybrid signal optimization approach is proposed to remove the influence of body motion and light conditions on the physiological signal. It includes a light-intensity-based scheme selecting proper heartbeat signal for different light conditions, and an optical-flow-based algorithm pruning signals with significant radial body motion. Finally, the features extracted from the optimized physiological signals are fused to train an emotion recognition system. As shown in the experimental results, the proposed system could achieve high classification accuracy of 89.6% for 10-fold cross-validation at sample level, and 71.0 % for cross-validation at subject level. The respiratory and heartbeat signals by non-contact approaches are demonstrated to be reliable in emotion recognition. [ABSTRACT FROM AUTHOR]

To improve the coding performance of depth maps, 3D-HEVC includes several new depth intra coding tools at the expense of increased complexity due to a flexible quadtree Coding Unit/Prediction Unit (CU/PU) partitioning structure and a huge number of intra mode candidates. Compared to natural images, depth maps contain large plain regions surrounded by sharp edges at the object boundaries. Our observation finds that the features proposed in the literature either speed up the CU/PU size decision or intra mode decision and they are also difficult to make proper predictions for CUs/PUs with the multi-directional edges in depth maps. In this work, we reveal that the CUs with multi-directional edges are highly correlated with the distribution of corner points (CPs) in the depth map. CP is proposed as a good feature that can guide to split the CUs with multi-directional edges into smaller units until only single directional edge remains. This smaller unit can then be well predicted by the conventional intra mode. Besides, a fast intra mode decision is also proposed for non-CP PUs, which prunes the conventional HEVC intra modes, skips the depth modeling mode decision, and early determines segment-wise depth coding. Furthermore, a two-step adaptive corner point selection technique is designed to make the proposed algorithm adaptive to frame content and quantization parameters, with the capability of providing the flexible tradeoff between the synthesized view quality and complexity. Simulation results show that the proposed algorithm can provide about 66% time reduction of the 3D-HEVC intra encoder without incurring noticeable performance degradation for synthesized views and it also outperforms the previous state-of-the-art algorithms in term of time reduction and $\Delta $ BDBR. [ABSTRACT FROM AUTHOR]

3D videos have attracted attention from academia and industry after great success in the film industry. Multiview video plus depth (MVD) is the most popular 3D video format to provide vivid 3D feeling and has been adopted as an international 3D video coding standard, namely 3D extension of high efficiency video coding (HEVC). MVD includes a limited number of textures and depth maps to synthesise virtual views. In MVD, depth samples describe the distance between a camera and an actual object as a grey‐level image. The characteristics of depth maps are quite different from texture images. Consequently, new coding tools are designed for depth maps in 3D‐HEVC to improve the coding efficiency at the expense of high‐computational complexity, which faces great challenges in coding systems. Depth map coding is also an important technique in immersive media to support three degrees of freedom 3DoF+/6DoF applications such as virtual reality/augmented reality. The study starts with an overview of what has been done over the last decade in 3D‐HEVC, especially depth map coding, regarding theories, methodologies, current research and state‐of‐the‐art fast approaches. Following this, a comprehensive comparison of the reviewed techniques is presented, and an outlook on its future trends is provided. [ABSTRACT FROM AUTHOR]

Multiview video plus depth format has been adopted as the emerging 3D video representation recently. It includes a limited number of textures and depth maps to synthesize additional virtual views. Since the quality of depth maps influences the view synthesis process, their sharp edges should be well preserved to avoid mixing foreground with background. To address this issue, 3D-High Efficiency Video Coding (HEVC) introduces new coding tools, a partition-based intra mode [depth modeling mode (DMM)], a residual description technique [segmentwise depth coding (SDC)], and a more complex rate-distortion (RD) evaluation with view synthesis optimization (VSO), to provide more accurate predictions and achieve higher compression rate. However, these new techniques introduce a lot of possible candidates, and each of them requires complicated RD calculation in the process of intra-mode decision. They lead to unacceptable computational burden in a 3D-HEVC encoder. Therefore, in this paper, we raise two efficient techniques for depth intra-mode decision. First, by investigating the statistical characteristics of variance distributions in the two partitions of DMM, a simple but efficient criterion based on the squared Euclidean distance of variances (SEDV) is suggested to evaluate RD costs of the DMM candidates instead of the time-consuming VSO process. Second, a probability-based early depth intra-mode decision is proposed to select only the most promising mode and make the early determination of using SDC based on the low-complexity RD cost in rough mode decision. Experimental results show that the proposed algorithm with these two new techniques provides 33%–48% time reduction with little drop in the coding performance compared with the state-of-the-art algorithms. [ABSTRACT FROM PUBLISHER]

Background. Early screening for syphilis among pregnant women and the effective treatment of maternal syphilis is fundamental to prevent congenital syphilis (CS). Methods. We obtained data from the Shenzhen Program for Prevention of CS (SPPCS) and estimated incidence rates of CS among infants born to syphilis-seropositive women treated with different regimens or untreated for maternal syphilis. Results. A total of 4746 matched cases of syphilis-seropositive mothers and their infants were included for analyses, and 162 infants were diagnosed with CS, providing an overall incidence of 3.41% (95% confidence interval [CI], 2.91%-3.98%). Among infants born to syphilis-seropositive women who had syphilis and were adequately treated before pregnancy, the incidence was 0.22% (95% CI, .05%-.66%). There were 159 cases of CS occurring in 3519 infants born to women who were syphilis-seropositive during their pregnancies, for an incidence of 4.52% (95% CI, 3.84%-5.28%). The incidence of CS was 1.82%-11.90% lower among infants born to the women treated with early benzathine penicillin G (BPG) compared with those treated with late BPG (adjusted odds ratio [aOR], 8.06 [95% CI, 2.93-22.21]; P < .001), other antibiotics (aOR, 7.71 [95% CI, .86-69.28]; P = .068), or those untreated (aOR, 68.28 [95% CI, 29.64-157.28]; P < .001). The incidence rates were 0.22% (95% CI, .06%-.80%) and 0.59% (95% CI, .35%-1.02%) in infants born to women treated with 2 courses and 1 course of BPG, respectively, corresponding to a risk difference of 0.37% (aOR, 1.74; 95% CI, .37-8.26). Conclusions. Treatment of syphilis-seropositive pregnant women with 1 course of intramuscular BPG before 28 gestational weeks is critical for prevention of CS. [ABSTRACT FROM AUTHOR]

The three-dimensional (3-D) video extension of high-efficiency video coding is an emerging coding standard for multiple-view-plus-depth that allows view synthesis for multiple displays with depth information. In order to avoid mixing between the foreground and background, the depth discontinuities defined at the object boundary should be retained. To solve this issue, a depth intramode, i.e., the depth-modeling mode (DMM), is introduced in 3-D-high-efficiency video coding as an edge predictor. The test model HTM 8.1 includes DMM1 and DMM3. However, the mode-decision strategy of DMM increases the complexity drastically. Therefore, we propose a fast DMM1 decision algorithm that estimates sharp edges by a subregional search method. The optimal wedgelet pattern of DMM1 is then searched only in the most probable region. Additionally, another fast method is raised to skip DMM3 when mismatch occurs between the depth prediction unit (PU) and its colocated texture PU. Simulation results show that the proposed algorithm has slightly better performance in terms of complexity reduction compared with the wedgelet-pattern-reducing algorithm from the literature while better maintaining the coding performance. In addition, the proposed algorithm has a performance similar to that of an existing DMM-skipping algorithm. Moreover, it could be integrated with that category of algorithms for additional time savings. ©2016 SPIE and IS&T[DOI: 10.1117/1.JEI.25.3.033023] [ABSTRACT FROM AUTHOR]

Objective To investigate molecular epidemiology of Chlamydia trachomatis infection among patients recruited from different clinic settings in Shenzhen, China. Methods A total of 2534 patients from the sexually transmitted disease (STD) clinics, obstetrics and gynaecology (OBGYN) clinics and genitourinary medicine (GUM) clinics in 34 hospitals participated in the study. The C trachomatis infection was determined using COBAS Amplicor system. DNA extracted in C trachomatis-positive samples was amplified using a nested PCR based on ompA gene and then genotyped using a microsphere suspension array. Results The overall prevalence of genital C trachomatis infection was 17.7%. The prevalence in patients at STD or GUM clinics was significantly higher than that in patients at OBGYN clinics. Being male (adjusted OR (AOR) 2.5, 95% CI 1.8 to 3.4), having no consistent use of a condom with casual partners in the past 3 months (AOR 1.7, 95% CI 1.1 to 2.8) and having any STD symptoms (AOR 3.3, 95% CI 2.0 to 5.4) were independently associated with C trachomatis infection. Eight genotypes were identified. The most prevalent genotypes were F (22.3%), E (22.0%) and D/Da (12.7%). Other genotypes were G/Ga (8.0%), J (7.3%), K (2.7%), H (2.7%) and I/Ia (0.4%). Eighty-two samples (18.3%) were infected with multiple genotypes. Genotype D/Da among patients from GUM clinics was more common than those from STD or OBGYN clinics. Infections with genotypes G and F were statistically associated with abnormal vaginal discharge (p=0.001) and being married (p=0.014), respectively. Infection with multiple genotypes was more common among patients with a higher income (p=0.011). Conclusion A substantial prevalence of genital C trachomatis infection in Shenzhen suggests the importance of detection and treatment of the infection in high-risk groups. [ABSTRACT FROM AUTHOR]

Stereoscopic video gives viewers more realistic vision than traditional 2D videos by transmitting two different views simultaneously. It doubles the required bandwidth in comparison with single view videos. Motion and disparity estimation therefore play a key role in reducing the bit rate of stereoscopic videos. However, it brings extremely huge computational complexity to an encoder which obstructs it from practical uses. In the past few years, some fast algorithms were proposed where most of them speed up the coding time based on an accurate estimation in one field (motion/disparity field), and then relieve the computational burden in the other field (disparity/motion field). Nevertheless, the complexities of both motion and disparity estimation cannot be fully reduced. In this paper, an iterative motion and disparity estimation algorithm is proposed. The proposed algorithm can determine motion vectors of the right view and disparity vectors of the current stereo pair in an iterative way. The gain of this iterative search is due to the use of a stereo-motion consistency constraint in which the motion and disparity vectors can be estimated by updating the local optimal vectors iteratively. An adaptive search range adjustment through the confidence measure of the constraint is then designed to further strengthen the reliability of each step for the iterative search. Experimental results show that the speed-up gain of the proposed algorithm is 18.76 \sim 229.19 times compared to the full search algorithm with a negligible quality drop. [ABSTRACT FROM AUTHOR]

Background: China has been experiencing a rapidly growing syphilis epidemic since the early 1990s, with the reported incidence of congenital syphilis increasing from 0.01 cases per 100 000 live births in 1991 to 19.7 cases per 100 000 live births in 2005. Detailed studies of risk factors for syphilis in pregnant women are needed to inform new preventive interventions. Objective: To investigate factors associated with recent syphilis infection among pregnant women and recommend strategies for improved preventive interventions in the community. Methods: A case-control study was conducted among women attending antenatal clinics in Shenzhen City, South China. Cases were antenatal clinic women testing positive for early syphilis, based on laboratory results, with those testing negative being controls. All participants completed the same anonymous questionnaire covering demographics, lifestyle, sexual behaviour, and sexual partnerships. Results: 129 cases and 345 controls were recruited. Syphilis was significantly associated with unmarried status, less education, multiple sex partners, travel of sex partner in the past 12 months, a history of induced abortion, and previous sexually transmitted infections. Overall, there were no differences between syphilis-positive and negative women in household registration status (hukou), living district and duration in Shenzhen, monthly income, and age at first sex. Conclusions: Many demographic and behavioural risk factors are associated with syphilis among pregnant women. In the government congenital syphilis control programme, comprehensive preventive interventions should be provided in all clinical settings in addition to the current procedures for syphilis screening among antenatal women. [ABSTRACT FROM AUTHOR]

Introduction: Consistent definitions of congenital syphilis are critical for determining true incidences and setting up targets of elimination. This study aimed to assess the evaluation and management of infants at high risk of congenital syphilis with an antenatal syphilis-screening programme in the Shenzhen SEZ and to develop feasible definitions for the detection of congenital syphilis in China. Methods: A retrospective study was conducted of all standardised records of pregnant women with positive syphilis between 2003 and 2007. Infants at high risk of congenital syphilis were evaluated by laboratory tests at birth and longitudinal follow-up. A screening test-positive congenital syphilis case was defined based on a positive 19S-IgM-FTA-ABS result at birth. Assuming that 19S-IgM-FTA-ABS was the gold standard, the sensitivity and specificity of the ascertainment methods were calculated. Results: During the study period, 1010 live infants were born to women with active syphilis during pregnancy. 19S-IgM-FTA-ABS detected 42 screening-positive congenital syphilis cases and another nine cases were identified by longitudinal follow-up only. Using 19S-IgM-FTA-ABS as the gold standard, 'fourfold rapid plasma reagin (RPR) titres' had the highest sensitivity and specificity compared with the other two follow-up methods. Discussion: 19S-IgM-FTA-ABS makes congenital syphilis case classification simpler and faster for newborns. In areas where 19S-IgM-FTA-ABS is not available, comparing newborn RPR titres with maternal titres can be an alternative method. Meanwhile, positive follow-up results act as treatment indicators for older infants. As congenital syphilis definitions vary over the country, the Shenzhen programme suggested a practical model for surveillance and treatment in areas with or without available 19S-IgM-FTA-ABS testing. [ABSTRACT FROM AUTHOR]

• An Accurate Contactless Sleep Apnea Detection Framework with Signal Processing and Machine Learning Methods was proposed. • The MDACM demodulation method combined with DC removal improved the accuracy of the radar sensor to monitor the respiratory signals. • Adequate features of respiratory signals combined with machine learning methods can be used as an effective tool for sleep apnea detection. • The oversampling approach ADASYN was used in our work, which well solved the problem of data imbalance and effectively improved the accuracy of classification. The detection of sleep apnea is critical for assessing sleep quality. It is also a proven biometric in diagnosing cardiovascular and other diseases. Recent studies have shown that radar-based non-contact vital sign monitoring system can effectively detect sleep apnea. However, the detection accuracy in the current study still needs to be improved. In this paper, we propose a sleep apnea detection framework based on FMCW radar. First, the radar system is employed to record the sleep data throughout the night with polysomnography (PSG) comparison. Then, in order to extract more accurate respiratory signal from the raw radar data, the signal processing methods are investigated to solve the observed discontinuity phenomenon. Finally, machine learning methods are adopted. The apneic and not-apneic events are classified accurately by selecting effective features of respiratory signal. As shown in the experimental results, the proposed system could achieve a good classification performance with an accuracy of 95.53%, a sensitivity of 72.60%, a specificity of 97.32%, a Kappa of 0.68, and an F-score of 0.84. [ABSTRACT FROM AUTHOR]

Performance improvements obtained by recent principled approaches for pulse rate (PR) estimation have typically been achieved by adding or modifying certain modules within a reconfigurable system. Yet, evaluations are usually performed only at the system level. To better understand each module's contribution and facilitate future research in explainable learning and artificial intelligence for physiological monitoring, this paper conducts a comparative study of video-based, principled PR tracking algorithms, with a particular focus on challenging fitness scenarios. A review of the progress achieved over the last decade and a half in this field is utilized to construct the major processing modules of a reconfigurable remote pulse rate sensing system. Experiments are conducted on two challenging datasets-an internal collection of 25 videos of two Asian males exercising on stationary-bike, elliptical, and treadmill machines and 34 videos from a public ECG fitness database of 14 men and 3 women exercising on elliptical and stationary-bike machines. The signal-to-noise ratio (SNR), Pearson's correlation coefficient, error count ratio, error rate, and root mean squared error are used for performance evaluation. The top-performing configuration produces respective values of -0.8 dB, 0.86, 9%, 1.7%, and 3.3 beats per minute (bpm) for the internal dataset and 1.3 dB, 0.77, 28.6%, 6.0%, and 8.1 bpm for the ECG Fitness dataset, achieving significant improvements over alternative configurations. Our results indicate a synergistic effect between pulse color mapping and adaptive motion filtering, as well as the importance of a robust frequency tracking algorithm for PR estimation in low SNR settings.

Reshaping, a point operation that alters the characteristics of signals, has been shown capable of improving the compression ratio in video coding practices. Out-of-loop reshaping that directly modifies the input video signal was first adopted as the supplemental enhancement information (SEI) for the HEVC/H.265 without the need to alter the core design of the video codec. VVC/H.266 further improves the coding efficiency by adopting in-loop reshaping that modifies the residual signal being processed in the hybrid coding loop. In this paper, we theoretically analyze the rate-distortion performance of the in-loop reshaping and use experiments to verify the theoretical result. We prove that the in-loop reshaping can improve coding efficiency when the entropy coder adopted in the coding pipeline is suboptimal, which is in line with the practical scenarios that video codecs operate in. We derive the PSNR gain in a closed form and show that the theoretically predicted gain is consistent with that measured from experiments using standard testing video sequences.