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BackgroundLung cancer surgery is associated with a high incidence of postoperative pulmonary complications (PPCs). We evaluated whether enhanced recovery after surgery plus pulmonary rehabilitation was superior over enhanced recovery after surgery alone in reducing the incidence of postoperative PPCs and length of hospital stay.MethodsIn this pragmatic multicentre, randomised controlled, parallel-group clinical trial, eligible patients scheduled for video-assisted lung cancer surgery were randomly assigned (1:1) to either a newly developed programme that integrated preoperative and postoperative pulmonary rehabilitation components into a generic thoracic enhanced recovery after surgery pathway, or routine thoracic enhanced recovery after surgery. Primary outcome was the overall occurrence of PPCs within 2 weeks after surgery. Secondary outcomes were the occurrence of specific complications, time to removal of chest drain, and length of hospital stay (LOS).ResultsOf 428 patients scheduled for lung cancer surgery, 374 were randomised with 187 allocated to the experimental programme and 187 to control. Incidence of PPCs at 14 Days was 18.7% (35/187) in the experimental group and 33.2% (62/187) in the control group (intention-to-treat, unadjusted HR 0.524, 95% CI 0.347 to 0.792, p=0.002). Particularly, significant risk reduction was observed regarding pleural effusion, pneumonia and atelectasis. Time to removal of chest drain and LOS were not significantly reduced in the experimental group.ConclusionsAdding pulmonary rehabilitation to enhanced recovery after surgery appears to be effective in reducing the incidence of PPCs, but not LOS. Standard integration of pulmonary rehabilitation into thoracic enhanced recovery after surgery is a promising approach to PPC prophylaxis.Trial registration numberChiCTR1900024646.

The object tracking is an important task to future generations to find accurate information from frame (sports or any cctv). The available models like RFO, DT, Xboosting, Gradient boosting, and CNN are outdated for sports video tracking using video. The target and trajectory finding are very important for accurate tracking. Therefore, for crossover, the above limitation’s intelligence analysis is performed with ANN. The video tracking can be very simple and efficient with proposed model. As a result, this ANN offers a sports camera target detection system based on an upgraded grey neural network. This research uses the automatic threshold technique to divide the target object of sports camera and derive the designated target of sports video based on the pixel grey difference of the target image in sports video. The moving objects are tracked by the object tracking algorithm, and features are extracted to obtain the results. The performance measures like accuracy of 95.23%, sensitivity of 94.45%, and recall of 93.34% had been attained.

To meet the required coverage and data rate demands of next-generation mobile communications, the coexistence of multiple radio frequency systems operating in well-separated frequency bands in precisely identified scenarios will be exploited in the long term. In this context, it is necessary to investigate frequency-dependent and environment-dependent channel characteristics by exploring the spatial and temporal correlations of multipath channels across different frequency bands and different environments. Traditional evaluation indexes, such as channel parameters and correlation coefficients, either do not enable direct derivation of the relationship between two channels or can only be evaluated from a certain dimension mathematically. Here, by combining large-scale and small-scale channel characteristics, a channel similarity index measure (CSIM) is proposed. This structural similarity index comprehensively considers several multipath parameters of two different channels, including amplitude, phase, delay, angle of arrival (AoA), and angle of departure (AoD). The results of ray tracing simulations and field measurement campaigns conducted across both centimeter wave (cmWave) and millimeter wave (mmWave) bands in typical indoor and outdoor scenarios verify that the proposed CSIM can effectively measure similarity from specific dimensions. Moreover, the statistical distributions of the CSIM, which reflect the similarities between channels of different frequencies, are also presented.

Sleep quality plays an essential role in human health and has become an index for assessing physical health. Self-powered, sensitive, noninvasive, comfortable, and low-cost sleep monitoring sensors for monitoring sleep behavior are still in high demand. Here, a pressure-sensitive, noninvasive, and comfortable smart pillow is developed based on a flexible and breathable triboelectric nanogenerator (FB-TENG) sensor array, which can monitor head movement in real time during sleep. The FB-TENG is based on flexible and breathable porous poly(dimethylsiloxane) (PDMS) with a fluorinated ethylene propylene (FEP) powder and exhibits pressure sensitivity and durability. The electrical output of the FB-TENG is further optimized by modifying the porous structure and the FEP powder. Combining the FB-TENG and the flexible printed circuit (FPC), a self-powered pressure sensor array is fabricated to realize touch sensing and motion track monitoring. The smart pillow is formed by laying the self-powered pressure sensor array on an ordinary pillow to realize real-time monitoring of the head position in a static state and head movement trajectory in a dynamic state during sleep. Additionally, the smart pillow also has an early warning function for falling out of bed. This work not only provides a viable sensing device for sleep monitoring but also could be extended to real-time monitoring of some diseases, such as brain diseases and cervical spondylosis, in the future. It is expected to introduce a practical strategy in the real-time mobile healthcare field for disease management.

The development of premature coronary artery disease (PCAD) is dependent on both genetic predisposition and traditional risk factors. Strategies for unraveling the genetic basis of PCAD have evolved with the advent of modern technologies. Genome-wide association studies (GWASs) have identified a considerable number of common genetic variants that are associated with PCAD. Most of these genetic variants are attributable to lipid and blood pressure-related single-nucleotide polymorphisms (SNPs). The genetic variants that predispose individuals to developing PCAD may depend on race and ethnicity. Some characteristic genetic variants have been identified in Chinese populations. Although translating this genetic knowledge into clinical applications is still challenging, these genetic variants can be used for CAD phenotype identification, genetic prediction and therapy. In this article we will provide a comprehensive review of genetic variants detected by GWASs that are predicted to contribute to the development of PCAD. We will highlight recent findings regarding CAD-related genetic variants in Chinese populations and discuss the potential clinical utility of genetic variants for preventing and managing PCAD.

In this study, a facile preparation technique for in situ growth of MOFs-based-coated solid-phase microextraction (SPME) fibers is proposed. NH2-MIL-53 can be grown on the Al wire simply by immersing the Al wire in the solution of growth seeds and metal–organic frameworks (MOFs) successively, thereby obtaining the SPME fiber. The as-prepared fiber was combined with gas chromatography flame ionization detection (GC-FID) for the determination of non-steroidal anti-inflammatory drugs (NSAIDs) in water samples. Compared with NH2-MIL-53-coated fiber prepared with the gluing method, MIL-53-coated fiber prepared by in situ self-growth and commercial polyacrylate (PA) fiber, the as-prepared fiber demonstrated the better extraction performance, owing to more exposed adsorption sites and stronger interactions with the target. Moreover, the fiber exhibited a long service life due to multifaceted stability. After optimization of extraction and desorption conditions, the analytical method had a low-detection limit (0.002–0.05[Formula: see text][Formula: see text]g[Formula: see text]L[Formula: see text], a wide linear range (0.01–500[Formula: see text][Formula: see text]g[Formula: see text]L[Formula: see text] and good reproducibility (relative standard deviation [Formula: see text]5.84%) and provided good results for actual water samples. MOFs-based SPME fibers grown on metal wires using a facile in situ technique can maximize the extraction advantage of MOFs coating, which well promotes the application and development of MOFs in solid-phase microextraction technology.

A dual-polarized symmetrically cross-slotted square patch (SCSSP) antenna with multimode resonance is proposed for 5G millimeter-wave broadband applications. A symmetrical cross-slot is etched on the square patch surface to change the original E-field distribution where a whole square patch is cut into four disconnected equal parts. For both polarizations, this etching also tunes the resonance frequencies of the two modes to be sufficiently close to each other. Therefore, the antenna can realize good impedance performance within the wide designated bandwidth. Dual-polarized radiation of the SCSSP is vertically excited by three bow-tie-shaped slots and fed by two orthogonal substrate integrated coaxial lines. Simulated and measured results show that the fabricated prototype achieves a broad overlapped impedance bandwidth of 50.0% (24-40 GHz), isolation higher than 30 dB between the two input ports, stable radiation pattern, and low cross-polarization over the operating band. Moreover, the proposed SCSSP antenna with compact size, planar shape, and simple vertical feeding is very well-suited for two-dimensional array design.

Vascular remodeling during microgravity exposure results in postflight cardiovascular deconditioning and orthostatic intolerance in astronauts. To clarify the underlying mechanism, we investigated whether estrogen receptor