THE ELECTRONIC EQUIPMENT MODAL ANALYSIS BASED ON THE SUB-STRUCTURE

Using the ANSYS finite element analysis software to analyze the modal of the case and its modules by the substructure method,the natural frequency and mode shape of the equipment are obtained. Synthesizing the results of the modal analysis,the comprehensive structure improvements recommendations are proposed. And the substructure method has important reference value for the large-scale electronic equipments

Crowd counting by the dual‐branch scale‐aware network with ranking loss constraints

Image crowd counting is a challenging problem. This study proposes a new deep learning method that estimates crowd counting for the congested scene. The proposed network is composed of two major components: the first ten layers of VGG16 are used as the backbone network, and a dual‐branch (named as Branch_S and Branch_D) network is proposed to be the second part of the network. Branch_S extracts low‐level information (head blob) through a shallow fully convolutional network and Branch_D uses a deep fully convolutional network to extract high‐level context features (faces and body). Features learnt from the two different branches can handle the problem of scale variation due to perspective effects and image size differences. Features of different scales extracted from the two branches are fused to generate predicted density map. On the basis of the fact that an original graph must contain more or equal number of persons than any of its sub‐images, a ranking loss function utilising the constraint relationship inside an image is proposed. Moreover, the ranking loss is combined with Euclidean loss as the final loss function. Our approach is evaluated on three benchmark datasets, and better results are achieved compared with the state‐of‐the‐art works

Exploring the Species Richness Pattern and Areas of Endemism of Tenebrionidae (Coleoptera) in Xinjiang, China

Species richness and areas of endemicity (AOE) are the basis of biogeography, which is of great significance for understanding the evolution of species and making conservation plans. The present study aimed to investigate the species richness pattern and AOEs of Tenebrionidae in Xinjiang, China. We collected information on the geographical distribution of 556 species from several sources and obtained 2226 distribution records for the analyses. The AOEs were detected using the parsimony analysis of endemicity (PAE) and endemicity analysis (EA) at 0.5°, 1°, and 1.5° grid sizes, respectively. A total of six AOEs were found, including three mountain ranges (Altai Mountains, Tianshan Mountains, and Kunlun Mountains) and one basin (Junggar Basin), which was largely congruent with the species richness pattern. The results indicated that the complex terrain and stable climate in the mountainous area played an important role in the formation of tenebrionid species diversity and their endemic areas in Xinjiang

Lattice considerations for the spectrometry ring (SRing) of the HIAF project

<span style="color: rgb(51, 51, 51); font-family: arial, helvetica, sans-serif; font-size: 13px; line-height: 22px; background-color: rgb(248, 248, 248);">The spectrometry ring (SRing) is one of the rings of the next generation accelerator complex High Intensity Heavy Ion Accelerator Facility (HIAF) of Institute of Modern Physics of the Chinese Academy of Sciences. The SRing will be in operation mode as a time-of-flight mass spectrometer for short-lived nuclei. The SRing&#39;s circumference is 188. 7 m, the maximum magnetic rigidity is 13 T. m. The SRing is consisted by magnet systems, injection/extraction storages, stochastic cooling systems and detectors. It aims at stochastic precooling of both rare isotope and measuring nuclear masses in an isochronous mode. In order to fulfill it&#39;s purpose, the ion optics can be set to different ion optical modes. This paper discusses the considerations of the injection/extraction storages of these two different modes.</span

Fabrication of heterostructured UIO-66-NH2 /CNTs with enhanced activity and selectivity over photocatalytic CO2 reduction

© 2020 Hydrogen Energy Publications LLC Developing photocatalysts with superior efficiency and selectivity is an important issue for photocatalytic converting CO2. Hierarchically heterostructured one-dimensional nanomaterials represent a kind of promising catalysts for photocatalytic CO2 reduction on account of the high surface area and synthetic effect between different components. Herein, we synthesized UIO-66-NH2/carbon nanotubes (CNTs) heterostructures via a hydrothermal method, and investigated their photocatalytic performance. The element mapping, X-ray diffraction, and X-ray photoelectron spectroscopy collectively confirmed that the UIO-66-NH2 was successfully loaded on the surface of the CNTs. The specific surface area of the UIO-66-NH2/CNTs is 1.5 times higher than that of UIO-66-NH2. The photocurrent and electrochemical impedance spectroscopy measurements showed that the CNTs could enhance the electron mobility and reduce the recombination of photogenerated electron-hole pairs, which was also confirmed by the Photoluminescence spectroscopy (PL). The CNTs can improve the conductivity of composites and the dispersion of UIO-66-NH2, exposing more active sites, therefore the UIO-66-NH2 can increase the absorption of carbon dioxide and thus enhance the selectivity. The composites remarkably promoted the separation and transition of electrons and thus improved the photocatalytic efficiency of CO2 reduction. More importantly, it was found that the as-prepared composites suppress the hydrogen generation reaction during the CO2 reduction process

The CLE9/10 secretory peptide regulates stomatal and vascular development through distinct receptors

The frequency and orientation of cell division are regulated by intercellular signalling molecules; however, tissue-specific regulatory systems for cell divisions are only partially understood. Here, we report that the peptide hormone CLAVATA3/ESR-RELATED 9/10 (CLE9/10) regulates two different developmental processes, stomatal lineage development and xylem development, through two distinct receptor systems in Arabidopsis thaliana. We show that the receptor kinase HAESA-LIKE 1 (HSL1) is a CLE9/10 receptor that regulates stomatal lineage cell division, and BARELY NO MERISTEM (BAM) class receptor kinases are CLE9/10 receptors that regulate periclinal cell division of xylem precursor cells. Both HSL1 and BAM1 bind to CLE9/10, but only HSL1 recruits SOMATIC EMBRYOGENESIS RECEPTOR KINASES as co-receptors in the presence of CLE9/10, suggesting different signalling modes for these receptor systems