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To alleviate the shortage of spectrum resources and improve the power utilization of cognitive radio networks,a resource allocation algorithm of full duplex cognitive relay networks with energy harvesting was proposed.In the algorithm,the coefficient for power splitting of the relay and the transmit power of the secondary users were jointly optimized to maximize the throughput of the secondary users under the interference to primary users and energy harvesting constraints.Since the optimization of the algorithm was non-convex,it was transformed into two sub-optimizations,the sub-optimization of the coefficient for power splitting and the sub-optimization of the power transmitted of secondary users,which were the solvable convex sub-optimizations.Then,the final solution of the original optimization was obtained with the iterative algorithm.Simulation results show that the throughput of the proposed algorithm,can obtain 2 times throughput of the networks with half-duplex power splitting algorithm and 1.5 times throughput of the networks with full-duplex time switching algorithm.

Background and objective The incidence of lung cancer is increasing annually. Clinicians pay special attention to lung tests during physical examinations. Due to the popularity of low-dose computed tomography, not only can lung cancer be diagnosed early, but physical examinations often reveal the presence of pulmonary nodules, an important health issue that cannot be ignored. Patients with pulmonary nodules are prone to adverse emotions such as anxiety and depression. Many studies have shown that patients with emotional disorders have immune system dysfunction and changes in inflammation levels. This study aimed to investigate the changes in anxiety, depression, the ratios of T helper cells 17 (Th17) and regulatory T cells (Tregs), and inflammation levels in patients with pulmonary nodules. Methods A total of 143 subjects from The First Affiliated Hospital of Anhui Medical University were included from April 2019 to July 2019. All of the subjects were assessed with the Beck Anxiety Inventory (BAI) and the Beck Depression Inventory-II (BDI-II). Overall, 40 cases were healthy controls (HC) and 103 cases were patients with pulmonary nodules. The patients were divided into two groups according to the scale scores: 62 cases in a non-anxiety and non-depression (NAD) group and 41 cases in an anxiety and/or depression (AD) group. The percentage of Th17 and Tregs in the peripheral blood and inflammatory factors in the serum were detected. The absolute Th17 cell counts were calculated and the differences between the groups and correlations between these indicators were analyzed. Results There were statistically significant differences in the percentage of Th17 cells, the absolute counts of Th17 and Th17/Treg cells, and the levels of interleukin-2 (IL-2), IL-6, and tumor necrosis factor-α (TNF-α) among three groups (all P0.05). The previously described indicators had no significant correlation with the severity of anxiety and depression (P>0.05). There were no significant differences in the percentage of Tregs or levels of IL-4 and IL-10 between the groups (all P>0.05). The proportion of anxiety and/or depression in female patients with pulmonary nodules was higher than that in males (P