Amycolatopsis, genus of a rare actinomycete, produces many clinically important antibiotics, such as rifamycin and vancomycin. Although GlnR of Amycolatopsis mediterranei is a direct activator of the glnA gene expression, the production of GlnR does not linearly correlate with the expression of glnA under different nitrogen conditions. Moreover, A. mediterranei GlnR apparently inhibits rifamycin biosynthesis in the absence of nitrate but is indispensable for the nitrate-stimulating effect for its production, which leads to the hyper-production of rifamycin. When glnR of A. mediterranei was introduced into its phylogenetically related organism, Streptomyces coelicolor, we found that GlnR widely participated in the host strain's secondary metabolism, resemblance to the phenotypes of a unique S. coelicolor glnR mutant, FS2. In contrast, absence or increment in copy number of the native S. coelicolor glnR did not result in a detectable pleiotrophic effect. We thus suggest that GlnR is a global regulator with a dual functional impact upon nitrogen metabolism and related antibiotics production.
Advanced lung cancer is becoming a chronic disease threatening human life and health. Cachexia has been recognized as the most common problem associated with advanced lung cancer. Lung cancer‐induced cachexia seriously affects patients’ quality of life. The present article summarizes the pathogenesis of advanced lung cancer‐induced cachexia from three aspects: anorexia, cytokines, and energy and metabolic abnormalities. In addition, the present article proposes corresponding nursing measures based on cachexia pathogenesis to improve the quality of life and survival rate of cachectic patients with advanced lung cancer by combining continuously advancing treatment regimens and effective nursing. The present article also provides references for healthcare professionals when administering related treatments and nursing care.
The integration of computer vision techniques for the accomplishment of autonomous interaction tasks represents a challenging research direction in the context of aerial robotics. In this paper, we consider the problem of contactbased inspection of a textured target of unknown geometry and pose. Exploiting state of the art techniques in computer graphics, tuned and improved for the task at hand, we designed a framework for the projection of a desired trajectory for the robot end-effector on a generically-shaped surface to be inspected. Combining these results with previous work on energybased interaction control, we are laying the basis of what we call vision-based impedance control paradigm. To demonstrate the feasibility and the effectiveness of our methodology, we present the results of both realistic ROS/Gazebo simulations and preliminary experiments with a fully-actuated hexarotor interacting with heterogeneous curved surfaces whose geometric description is not available a priori, provided that enough visual features on the target are naturally or artificially available to allow the integration of localization and mapping algorithms.
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