Expression, Purification and Activity Study of Amuc_1100

Objective: To construct prokaryotic expression vector of Amuc_1100 gene, the ELP (ELSTIN-LIKE PROTEIN) is used as purification label to express fusion with the target protein and detect the biological activity of recombinant protein at cell level and animal level. Methods: the recombinant plasmid pET28a-Amuc_1100-ELP is designed and synthesized, and transformed into e. coli competent cell bl21 (de3) to induce expression. The recombinant egg was isolated and purified by the reversible phase change cycling (ITC) characteristic of ELP10 white. At the cellular level, PBMCs cells from mice were extracted to detect the expression level of IL-10. At the animal level, obese mice induced by gastric gavage with high fat detected the improvement effect of the protein on mouse metabolism. Results: The recombinant protein with the expected molecular weight of 60 kDa was expressed by E.coli expression system. After circulating through ITC, the recombinant protein with high purity was obtained. The protein increased the expression level of IL-10 in PBMCs cells, and significantly improved the obesity and metabolic disorders induced by high-fat diet in mice. Conclusion: The recombinant protein expression plasmid pET28a-Amuc_1100-ELP was successfully constructed. After expression and purification, the recombinant protein expression plasmid has high purity and has 15 biologically active recombinant protein. This study laid a foundation for the industrial production and clinical application of Amuc_1100

A survey of electromagnetic influence on uavs from an ehv power converter stations and possible countermeasures

National Natural Science Foundation of China (Grant Nos. 11872148, U1908217, 61801034).It is inevitable that high-intensity, wide-spectrum electromagnetic emissions are generated by the power electronic equipment of the Extra High Voltage (EHV) power converter station. The surveillance flight of Unmanned Aerial Vehicles (UAVs) is thus, situated in a complex electromagnetic environment. The ubiquitous electromagnetic interference demands higher electromagnetic protection requirements from the UAV construction and operation. This article is related to the UAVs patrol inspections of the power line in the vicinity of the EHV converter station. The article analyzes the electromagnetic interference characteristics of the converter station equipment in the surrounding space and the impact of the electromagnetic emission on the communication circuits of the UAV. The anti-electromagnetic interference countermeasures strive to eliminate or reduce the threats of electromagnetic emissions on the UAV’s hardware and its communication network.publishersversionpublishe

Alterations in urinary microbiota composition in urolithiasis patients: insights from 16S rRNA gene sequencing

ObjectivesTo investigate the urinary microbiota composition in urolithiasis patients compared to healthy controls and to identify potential microbial markers and their association with clinical parameters.MethodsA total of 66 samples, comprising 45 from urolithiasis patients and 21 from healthy controls, were analyzed. 16S rRNA gene sequencing was employed to determine the microbiota composition. Various statistical and bioinformatics tools, including ANOVA, PCoA, and LEfSe, were utilized to analyze the sequencing data and identify significant differences in microbial abundance.ResultsNo significant demographic differences were observed between the two groups. Post-quality control, clean tags ranged from 60,979 to 68,736. Significant differences in α-diversity were observed between the two groups. β-diversity analysis revealed distinct clustering of the urinary microbiota in urolithiasis patients and controls. Notably, Ruminococcaceae was predominant in urolithiasis samples, while Proteobacteria was more prevalent in healthy samples. Lactobacillus was significantly overrepresented in samples from healthy females.ConclusionThe urinary microbiota composition in urolithiasis patients is distinct from that of healthy controls. Specific microbial taxa, such as Ruminococcaceae and Proteobacteria, could serve as potential biomarkers for urolithiasis. The findings pave the way for further exploration of the role of microbiota in urolithiasis and the development of microbiome-based therapeutic strategies

Dynamic Alignment of C2H4 Investigated by Using Two Linearly Polarized Femtosecond Laser Pulses

We have studied multielectron ionization and Coulomb explosion of C2H4 irradiated by 110 fs, 800 nm laser pulses at an intensity of ∼1015 W/cm2. Strong anisotropic angular distributions were observed for the atomic ions Cn+(n = 1–3). Based on the results of two crossed linearly polarized laser pulses, we conclude that such anisotropic angular distributions result from dynamic alignment, in which the rising edge of the laser pulses aligns the neutral C2H4 molecules along the laser polarization direction. The angular distribution of the exploding fragments, therefore, reflects the degree of the alignment of molecules before ionization. Using the same femtosecond laser with intensity below the ionization threshold, the alignment of C2H4 molecules was also observed

Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks with Edge and Fog Computing for Post-Disaster Rescue

Unmanned aerial vehicles (UAVs) play an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost. However, UAVs face the challenges of limited battery capacity and computing resources, which could shorten the expected flight endurance of UAVs and increase the rescue response delay during performing mission-critical tasks. To address this challenge, we first present a three-layer post-disaster rescue computing architecture by leveraging the aerial-terrestrial edge capabilities of mobile edge computing (MEC) and vehicle fog computing (VFC), which consists of a vehicle fog layer, a UAV client layer, and a UAV edge layer. Moreover, we formulate a joint task offloading and resource allocation optimization problem (JTRAOP) with the aim of maximizing the time-average system utility. Since the formulated JTRAOP is proved to be NP-hard, we propose an MEC-VFC-aided task offloading and resource allocation (MVTORA) approach, which consists of a game theoretic algorithm for task offloading decision, a convex optimization-based algorithm for MEC resource allocation, and an evolutionary computation-based hybrid algorithm for VFC resource allocation. Simulation results validate that the proposed approach can achieve superior system performance compared to the other benchmark schemes, especially under heavy system workloads.Comment: 18 pages, 6 figure