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The dynamic modeling method with finite element for the motor frame was introduced by using ANSYS software to analyze the frame modal. Natural frequency characteristics and the vibration modes of frame under the action of centrifugal force during vertical machining process were discussed, and effects on the result of modal analysis coming from rotating centrifugal force at different velocity were analyzed. These study results are helpful for guidance of the key process and equipment design for machining the motor frame.

It has become increasingly clear that gut bacteria play vital roles in the development, nutrition, immunity, and overall fitness of their eukaryotic hosts. We conducted the present study to investigate the effects of gut microbiota disruption on the honey bee's immune responses to infection by the microsporidian parasite Nosema ceranae. Newly emerged adult workers were collected and divided into four groups: Group I-no treatment; Group II-inoculated with N. ceranae, Group III-antibiotic treatment, and Group IV-antibiotic treatment after inoculation with N. ceranae. Our study showed that Nosema infection did not cause obvious disruption of the gut bacterial community as there was no significant difference in the density and composition of gut bacteria between Group I and Group II. However, the elimination of gut bacteria by antibiotic (Groups III and IV) negatively impacted the functioning of the honey bees' immune system as evidenced by the expression of genes encoding antimicrobial peptides abaecin, defensin1, and hymenoptaecin that showed the following ranking: Group I > Group II > Group III > Group IV. In addition, significantly higher Nosema levels were observed in Group IV than in Group II, suggesting that eliminating gut bacteria weakened immune function and made honey bees more susceptible to Nosema infection. Based on Group IV having displayed the highest mortality rate among the four experimental groups indicates that antibiotic treatment in combination with stress, associated with Nosema infection, significantly and negatively impacts honey bee survival. The present study adds new evidence that antibiotic treatment not only leads to the complex problem of antibiotic resistance but can impact honey bee disease resistance. Further studies aimed at specific components of the gut bacterial community will provide new insights into the roles of specific bacteria and possibly new approaches to improving bee health.

The application potential of rep-PCR in typing beer-spoilage isolates was studied. The effects of different factors, including DNA templates and primers, on the quality and reproducibility of fingerprints were investigated. The CATB protocol was shown to be the feasible method for DNA extraction. Primers BOXA1R and (GTG)5 were used in rep-PCR, and the PCR products were sequenced to identify strains isolated from two breweries. Rep-PCR fingerprint profiles were obtained using GelCompar II software. Cluster analysis showed that the isolates belonging to Lactobacillus brevis, L. buchneri, L. casei/paracasei, and L. plantarum are divided into 2 or 3 subgroups. In addition, the two rep-PCR fingerprint profiles complemented each other in typing these isolates. By combining the similarity coefficient cut-off (SCC) of species, 9 unknown isolates were rapidly identified using both fingerprint databases. The results indicate that rep-PCR is a simple, reliable, and promising method for the rapid identification of beer-spoilage bacteria.

The application potential of rep-PCR in typing beer-spoilage isolates was studied. The effects of different factors, including DNA templates and primers, on the quality and reproducibility of fingerprints were investigated. The CTAB protocol was shown to be the feasible method for DNA extraction. Primers BOXA1R and (GTG)5 were used in rep-PCR, and the PCR products were sequenced to identify strains isolated from two breweries. Rep-PCR fingerprint profiles were obtained by using GelCompar II software. Cluster analysis showed that the isolates belonging to Lactobacillus brevis, L. buchneri, L. casei/paracasei, L. plantarum are divided into 2 or 3 subgroups. In addition, the two rep-PCR fingerprint profiles complemented with each other in typing these isolates. Combining the similarity coefficient cut-off (SCC) of species, 9 unknown isolates were identified rapidly by using both fingerprint databases. The results indicate that rep-PCR is a simple, reliable and promising method for rapid identification of beer-spoilager.