Depressive symptoms are major public health problems. Leisure-time Physical activity (LPA) and dietary inflammatory preference are emerging factors that tends to affect the mental health status. There is limited evidence regarding the joint influence of LPA and dietary status on the prevalence of depression. This study was a cross-sectional study, which used a nationwide represented sample from the National Health and Nutrition Examination Survey (NHANES) to assess the relationship among LPA, diet status and depression. Depression and LPA status was reported by the 9-item Patient Health Questionnaire (PHQ-9) and Physical Activity Questionnaire (PAQ), respectively. To assess dietary inflammatory preferences, dietary inflammatory index (DII) was applied based on a 24-h dietary recall interview. A total of 11,078 subjects was included in this study and weighted participants were 89,682,020. Weighted multivariable linear regression showed that DII was negatively associated with LPA after full adjustment, with β (95% CI): −0.487 (−0.647, −0.327). Weighted multivariable logistic regression showed that LPA was significantly associated with depressive symptoms after full adjustment, with odds ratios OR (95% CIs): 0.986 (0.977, 0.995). By DII stratification analysis, this phenomenon was also existed in groups with anti-inflammatory diet. Mediation effect analysis was further performed, which showed that DII significantly mediating the association between LPA and depression with proportion mediated as 3.94%. Our findings indicated the mediating role of DII in the association between LPA condition and incident depression. More well-designed studies are still needed to validate the causal relationship.

An autonomous self-repair approach for SRAM-based FPGAs is developed based on Competitive Runtime Reconfiguration (CRR

While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exploiting population diversity during all phases of the fault handling process. A new paradigm for online EH regeneration using Genetic Algorithms (GAs) called Consensus Based Evaluation (CBE) is developed where the performance of individuals is assessed based on broad consensus of the population instead of a conventional fitness function. Adoption of CBE enables information contained in the population to not only enrich the evolutionary process, but also support fault detection and isolation. On-line regeneration of functionality is achieved without additional test vectors by using the results of competitions between individuals in the population

Background: Immunotherapy has provided a novel therapeutic option for lung cancer but studies involving patients with advanced non-small cell lung cancer (NSCLC) coupled with various degrees of comorbid chronic obstructive pulmonary disease (COPD) are limited. Thus, we performed a retrospective cohort study to optimize the use of immunotherapy in this special population. Methods:We enrolled a total of 99 patients with advanced (stage IIIB/C-IV) NSCLC with comorbid COPD who had received immune checkpoint inhibitors (ICIs) according to the inclusion and exclusion criteria. They were divided into four groups according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guideline criteria as follows: no COPD group (n 1 =19), mild COPD group (n 2 =24), moderate COPD group (n 3 =31), and severe COPD group (n 4 =25). Routine blood, imaging characteristics, related cytokines including interleukin (IL)-6, IL-8, IL-10, etc., Krebs Von den Lungen (KL)-6, and corresponding indicators of immune-related adverse events (irAEs), incidence of irAEs, objective response rate (ORR), disease control rate (DCR) and progression-free survival (PFS) were recorded and analyzed. Comparability of baseline factors above and clinical characteristics were evaluated.Results: There were statistically significant differences in the incidence of irAEs among the four groups (P=0.003). The incidence of irAEs in patients with no COPD (n 1 , 21.1%) and mild to moderate COPD (n 2/3 , 8.3%, 32.3%) was lower than that in patients with severe COPD (n 4 , 56.0%) (P=0.003). The median PFS of the mild to moderate COPD group was significantly longer than the severe COPD group (19.0 vs. 8.00 months, log-rank P=0.004). A significant increase of both ORR (P=0.004) and DCR (P=0.037), as well as higher IL-6 (P=0.000), IL-8 (P=0.026), and IL-10 (P=0.010) levels, have been observed in the mild to moderate COPD group compared with severe COPD group. IL-6 level was an independent factor influencing PFS [P=0.007, 95% confidence interval (95% CI): 1.000-1.002] and COPD grading was an independent predictor of irAEs (P=0.037, 95% CI: 1.035-3.039).Conclusions: Immunotherapy should be selected with caution for advanced NSCLC patients with comorbid severe COPD, considering the limited efficacy and the increased risk of immune-related adverse events related to the immune-checkpoint inhibitors administration in this special population.

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