The complete chloroplast genome sequence of Dictamnus albus L.

Dictamnus albus L. refers to a perennial herb with both ornamental and medicinal value. In the present study, we obtained the complete chloroplast genome sequence of D. albus through high-throughput sequencing. The length of the chloroplast genome was 157,139 bp, while the large single-copy and small single-copy regions were 84,478 bp and 18,587 bp, respectively. The pair of inverted repeat sequences was 27,037 bp, and the GC content was 38.5%. A total of 132 genes were annotated, including 87 protein-coding genes (PCGs), eight ribosomal RNA (rRNA) genes, and 37 transfer RNA (tRNA) genes. The chloroplast genomes of D. albus and eight species of Rutaceae were subjected to maximum-likelihood phylogenetic tree analysis. D. albus was found to be most closely related to Orixa japonica

Design of Soft-Sensing Model for Alumina Concentration Based on Improved Deep Belief Network

Alumina concentration is an important parameter in the production process of aluminum electrolysis. Due to the complex production environment in the industrial field and the complex physical and chemical reactions in the aluminum reduction cell, nowadays it is still unable to carry out online measurement and real-time monitoring. For solving this problem, a soft-sensing model of alumina concentration based on a deep belief network (DBN) is proposed. However, the soft-sensing model may have some limitations for different cells and different periodic working conditions such as local anode effect, pole changing, and bus lifting in the same cell. The empirical mode decomposition (EMD) and particle swarm optimization (PSO) with the DBN are combined, and an EMD–PSO–DBN method that can denoize and optimize the model structure is proposed. The simulation results show that the improved soft-sensing model improves the accuracy and universality of prediction

Intracardic migration of Kirschner wire from the right sternoclavicular joint: a case report

Abstract Background Migration of wires and pins within the heart is an uncommon complication. Intracardic migration of Kirschner wire can cause several complications. Case presentation A 55-year-old male patient was admitted to the emergency service with dyspnea, stabbing chest pain. The patient’s medical history showed that he had undergone a fixation operation using Kirschner wire and plate for treatment of the right sternoclavicular joint dislocation about 5 months prior. Chest computerized tomography revealed a metallic foreign body locating in the pericardium between the aorta and the right ventricle. There were not any serious complications occurred before operation due to the timely detection of potential risks. Removal of the wire was performed via median sternotomy under general anesthesia without cardiopulmonary bypass. The symptoms of dyspnea and chest pain were relieved after surgery, and the patient recovered without any complications. Conclusion The Kirschner wire should be used judiciously in amphiarthrosis in orthopedic surgery for the risk of breakage and migration. The possibility of intracardiac migration of wire should be considered when chest symptoms presenting after surgery with the Kirschner wire. Migrated wires must be removed immediately to prevent serious complications. Regular follow-up and early removal of fixation wires are recommended to prevent migration of wires

Piston Detection of Optical Sparse Aperture Systems Based on an Improved Phase Diversity Method

The piston error has a significant effect on the imaging resolution of the optical sparse aperture system. In this paper, an improved phase diversity method based on particle swarm optimization and the sequential quadratic programming algorithm is proposed, which can overcome the drawbacks of the traditional phase diversity method and particle swarm optimization, such as the instability that results from polychromatic light conditions and premature convergence. The method introduces factor β in the stage of calculating the objective function, and combines the advantages of a heuristic algorithm and a nonlinear programming algorithm in the optimization stage, thus enhancing the accuracy and stability of piston detection. Simulations based on a dual-aperture optical sparse aperture system verified that the root mean square error obtained by the method can be guaranteed to be within 0.001λ (wavelength), which satisfies the requirement of practical imaging. An experimental test was also conducted to demonstrate the performance of the method, and the test results showed that the quality of the image after piston detection and correction improved significantly compared to images with the co-phase error