With Brexit, inward investment will fall in the UK

Supply chains cross borders many times before components go into a final product in any EU country, write David Bailey, Nigel Driffield and Michail Karoglo

Research on Teaching Reform of "Engineering Fluid Mechanics" Based on Curriculum Ideology and Politics

This study aims to explore the teaching reform of Engineering Fluid Mechanics based on the concept of curriculum ideology and politics, in order to meet the needs of contemporary engineering education. The section on curriculum ideology and politics and Engineering Fluid Mechanics discusses the connotation, importance, teaching challenges, and the interrelation between curriculum ideology and politics and Engineering Fluid Mechanics. The teaching reform strategies section proposes directions for reform, including restructuring course objectives, adjusting teaching materials and teaching aids, innovating teaching methods, and improving assessment methods. The case analysis and practical experience section presents a summary of specific case analyses and practical experiences to inspire other educators. Finally, the teaching effectiveness evaluation section focuses on students' learning outcomes, feedback, and teachers' teaching experiences to verify the actual effects of the teaching reform

Genome sequencing and comparative genome analysis of Rhizoctonia solani AG-3

Rhizoctonia solani AG-3 is a plant pathogenic fungus that belongs to the group of multinucleate Rhizoctonia. According to its internal transcribed spacer (ITS) cluster analysis and host range, it is divided into TB, PT, and TM subgroups. AG-3 TB mainly causes tobacco target spots, AG-3 PT mainly causes potato black scurf, and AG-3 TM mainly causes tomato leaf blight. In our previous study, we found that all 36 tobacco target spot strains isolated from Yunnan (Southwest China) were classified into AG-3 TB subgroup, while only two of the six tobacco target spot strains isolated from Liaoning (Northeast China) were classified into AG-3 TB subgroup, and the remaining four strains were classified into AG-3 TM subgroup, which had a unique taxonomic status, and there was no previous report on the whole genome information of AG-3 TM subgroup. In this study, the whole genomes of R. solani AG-3 strains 3T-1 (AG-3 TM isolated from Liaoning) and MJ-102 (AG-3 TB isolated from Yunnan) isolated from tobacco target spot in Liaoning and Yunnan were sequenced by IIumina and PacBio sequencing platforms. Comparative genomic analysis was performed with the previously reported AG-3 PT strain Rhs1AP, revealing their differences in genomes and virulence factors. The results indicated that the genome size of 3T-1 was 42,103,597 bp with 11,290 coding genes and 49.74% GC content, and the genome size of MJ-102 was 41,908,281 bp with 10,592 coding genes and 48.91% GC content. Through comparative genomic analysis with the previously reported strain Rhs1AP (AG-3 PT), it was found that the GC content between the genomes was similar, but the strains 3T-1 and MJ-102 contained more repetitive sequences. Similarly, there are similarities between their virulence factors, but there are also some differences. In addition, the results of collinearity analysis showed that 3T-1 and MJ-102 had lower similarity and longer evolutionary distance with Rhs1AP, but the genetic relationship between 3T-1 and MJ-102 was closer. This study can lay a foundation for studying the molecular pathogenesis and virulence factors of R. solani AG-3, and revealing its genomic composition will also help to develop more effective disease control strategies

Mechanism of circular RNA hsa_circ_0012779 expression in nasopharyngeal carcinoma and its influence on cell biological behavior

Background and purpose: Circular RNA (circRNA) plays an important regulatory role in the development of a variety of tumors. However, the abnormal expression and biological function of circRNA in nasopharyngeal carcinoma remain unclear. This study aimed to explore the effect of hsa_circ_0012779 on the biological behavior of nasopharyngeal carcinoma cells and its molecular mechanism. Methods: The expression of hsa_circ_0012779 in human immortalized nasopharyngeal epithelial cell line NP69 and nasopharyngeal carcinoma cell lines CNE2, 5-8F, HNE1 and SUNE1 was detected by real-time fluorescence quantitative polymerase chain reaction (RTFQ-PCR). Cell counting kit-8 (CCK-8) assay and transwell invasion assay were used to detect the effect of hsa_circ_0012779 on the proliferation and invasion ability of nasopharyngeal carcinoma cells. The protein level of ELAV like protein 1 (ELAVL1) in NPC cells with hsa_circ_0012779 knockdown was detected by Western blot. The binding of hsa_circ_0012779 and ELAVL1 was verified by RNA pull-down assay. Results: hsa_circ_0012779 was highly expressed in nasopharyngeal carcinoma tissues and cells. Knockdown hsa_circ_0012779 could inhibit the proliferation and invasion of nasopharyngeal carcinoma cells. hsa_circ_0012779 bound to RNA-binding protein ELAVL1 to promote its expression and colocalization in cytoplasm. In the meanwhile, the effect of knockdown hsa_circ_0012779 on nasopharyngeal carcinoma cells could be reversed by the overexpression of ELAVL1. Conclusion: hsa_circ_0012779 promote the expression of ELAVL1 and thus promote the proliferation and invasion of nasopharyngeal carcinoma, and influence the occurrence and development of nasopharyngeal carcinoma

Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation

Recently, stunning improvements on multi-channel speech separation have been achieved by neural beamformers when direction information is available. However, most of them neglect to utilize speaker's 2-dimensional (2D) location cues contained in mixture signal, which limits the performance when two sources come from close directions. In this paper, we propose an end-to-end beamforming network for 2D location guided speech separation merely given mixture signal. It first estimates discriminable direction and 2D location cues, which imply directions the sources come from in multi views of microphones and their 2D coordinates. These cues are then integrated into location-aware neural beamformer, thus allowing accurate reconstruction of two sources' speech signals. Experiments show that our proposed model not only achieves a comprehensive decent improvement compared to baseline systems, but avoids inferior performance on spatial overlapping cases.Comment: Accepted by Interspeech 2023. arXiv admin note: substantial text overlap with arXiv:2212.0340