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Background MicroRNAs (miRNAs) are considered potential biomarkers for various diseases. This study investigated whether hsa-miR-320a-3p and hsa-miR-483-5p levels in human ovarian granulosa cells derived from follicular fluids are associated with embryo developmental competence. Methods We collected 195 granulosa cells samples and analyzed the treatment outcomes in patients undergoing in vitro fertilization (n = 147) or intracytoplasmic sperm injection (n = 48) cycles. The hsa-miR-320a-3p and hsa-miR-483-5p levels in granulosa cells were measured using quantitative reverse transcription-polymerase chain reaction. Results Patients were subdivided into four groups according to the granulosa cells hsa-miR-320a-3p and hsa-miR-483-5p levels quartiles (Q1–Q4). Embryo developmental competence was compared using the chi-square test. Patients in Q3 were less likely to achieve a normal fertilization rate for in vitro fertilization and blastocyst formation than those in Q1 as they expressed high levels of hsa-miR-320a-3p and hsa-miR-483-5p (P < 0.05). Patients in Q3 and Q4 were less likely to achieve a good-quality embryo as they expressed high levels of hsa-miR-483-5p and hsa-miR-320a-3p (P < 0.05). The hsa-miR-320a-3p and hsa-miR-483-5p levels were not associated with clinical pregnancy. However, multiple regression analysis indicated that in Q3 and Q4 intervals had experienced a decreased chance of live birth due to high expression levels of hsa-miR-320a-3p and hsa-miR-483-5p levels. The relative hsa-miR-320a-3p expression levels in granulosa cells were weakly and positively correlated with the patient age (P = 0.0033). Moreover, both the basal follicle stimulating hormone (P = 0.0003) and ovarian stimulation protocols (P = 0.006 and P = 0.004) significantly and positively affected hsa-miR-320a-3p levels. The days of stimulation was negatively correlated with the relative hsa-miR-320a-3p expression level (P = 0.047). Conclusions The hsa-miR-320a-3p and hsa-miR-483-5p levels in human granulosa cells negatively correlated with the good-quality embryo rate and live birth, indicating that hsa-miR-320a-3p and hsa-miR-483-5p can be used as potential negative indicators to predict good-quality embryos and live births.

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Runoff prediction has a pivotal role in the flood warning system. For small-sized watersheds, establishing a reliable and efficient model to forecast flood is multifarious and disorderly work. The ensemble framework for flash flood forecasting(EF5) provides a new opportunity for runoff prediction in small basins to model simply and practically. This paper used the framework to structure a flood forecast model for a small watershed in Hubei Province, China, where flash floods occur frequently. Four flood events with unique characteristics were selected to verify the accuracy and usability of the EF5 model. Evaluation using real data indicated that the EF5 model performs well in these four flood cases, with over 0.9 Pearson’s linear correlation coefficient(PCC) values and over 0.85 Nash-Sutcliffe coefficient of efficiency(NSE) values during the validation. In addition, the study verify the influence of the rainfall sources from four distinct interpolation methods on the model and evaluate the reasons for the significant differences. Finally, we detected the flood prediction performance of the EF5 model under various forecast lead time, and further statistical tests revealed that the EF5 model can maintain PCC of more than 0.9, NSE of more than 0.7, and flood peak bias(FPB) of more than -0.2 when the forecast lead time exceeds 3h. Numerous indicators and plots prove the excellent effect of the model forecast. Considering the convenience and validity of this framework, the research and verification of the EF5 model in the small-sized basin are of significance to flood prediction.