Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer

Publisher Copyright: © 2022The non-coding RNA (ncRNA) regulation appears to be associated to the diagnosis and targeted therapy of complex diseases. Motifs of non-coding RNAs and genes in the competing endogenous RNA (ceRNA) network would probably contribute to the accurate prediction of serous ovarian carcinoma (SOC). We conducted a microarray study profiling the whole transcriptomes of eight human SOCs and eight controls and constructed a ceRNA network including mRNAs, long ncRNAs, and circular RNAs (circRNAs). Novel form of motifs (mRNA-ncRNA-mRNA) were identified from the ceRNA network and defined as non-coding RNA's competing endogenous gene pairs (ceGPs), using a proposed method denoised individualized pair analysis of gene expression (deiPAGE). 18 cricRNA's ceGPs (cceGPs) were identified from multiple cohorts and were fused as an indicator (SOC index) for SOC discrimination, which carried a high predictive capacity in independent cohorts. SOC index was negatively correlated with the CD8+/CD4+ ratio in tumour-infiltration, reflecting the migration and growth of tumour cells in ovarian cancer progression. Moreover, most of the RNAs in SOC index were experimentally validated involved in ovarian cancer development. Our results elucidate the discriminative capability of SOC index and suggest that the novel competing endogenous motifs play important roles in expression regulation and could be potential target for investigating ovarian cancer mechanism or its therapy.Peer reviewe

Research on deepening the education of ideals and beliefs in rural free orientation medical students’ employment guidance courses

Under the background of implementing the strategy of healthy China and rural revitalization in the new era, the education and management of free oriented medical students in rural areas has been paid more and more attention. The employment guidance courses for free orientation students in rural areas are becoming more and more standardized, and the class schedule has been developed from scratch, but the course design, especially the interaction between teachers and students during online teaching, is not sufficient. The conclusion of the study is that the free orientation medical students’ employment guidance courses in rural areas should strengthen the ideal and belief education modules, tailor-made career planning, and use experiential teaching methods to train students to grow up to be good at treating minor diseases, being good at treating serious diseases, being good at managing chronic diseases, Qualified grassroots general practitioners who turn from acute illness to improvement

A Novel Power Quality Comprehensive Estimation Model Based on Multi-Factor Variance Analysis for Distribution Network with DG

The power quality estimation for distribution network connected DG (distributed generation) is important in the power system. The significance testing for power quality indicator is less used in traditional power quality evaluation. However, the power quality indicator is affected by various factors of the power system, which seriously impact the power quality evaluation result. To solve this problem, A novel power quality comprehensive estimation model based on multi-factor variance analysis for distribution network with DG is proposed in this paper, in which the significance testing is carried out for power quality indicator with the various system factors, and then to generate the evaluation weights in different levels, further to obtain the power quality assessment results for single node. And then, the dual-significance tests are carried out to generate the weight of node and to obtain the comprehensive estimation result of whole system. At last, an example is developed to validate that, compared with the traditional power quality evaluation, the proposed method is more reasonable and effective in the power quality evaluation for DG connected distribution network

Anomalous thickness-dependent exchange bias effect in Fe

Full-oxide epitaxial heterostructures consisting of multiferroic hexagonal YMnO3 and ferromagnetic Fe3O4 with variable thicknesses were fabricated by magnetron sputtering. A parabolic-like exchange bias (EB) effect varying with the thickness of Fe3O4 was discovered, while the EB effect in Fe/YMnO3 and Fe3O4/BiFeO3 heterostructures follows a reciprocal relation ($H_{\text{EB}} \propto1/t_{\text{FM}}$ , where $t_{\text{FM}}$ is the thickness of FM layer). The parabolic-like EB effect is considered to be associated with the joint effect from the special uncompensated moment at the antiferromagnetic domain walls in YMnO3 and the interactions among antiphase domains (APDs) in Fe3O4. By changing $t_{\mathrm{FM}}$ , the strength of the interaction among APDs can be modulated, giving rise to the anomalous thickness-dependent EB effect

Femtosecond Laser Line-by-Line Inscribed Seven Core Fiber Cascaded Fabry–Perot Cavity and Its Vectorial Bending Sensing Application

Multi-core fibers have been widely used for vector-bending sensing due to their off-axis distributed cores. In contrast to vector-bending sensors based on Bragg gratings, fiber Fabry–Perot (F–P) interferometers are more advantageous due to their ease of fabrication and potential for introducing the Vernier effect to further improve sensitivity. We propose and experimentally demonstrate a cascaded Fabry–Perot (F–P) cavity vector bending sensor. From the experimental results, the sensor has a strong bending dependence with a maximum sensitivity of 123.12 pm/m−1, and the curvature magnitude and direction can be reconstructed from the tilted wavelength shift of the asymmetric fiber-core F–P cavities