A convolutional neural network prediction model for aviation nitrogen oxides emissions throughout all flight phases.

In recent years, there has been an increasing amount of research on nitrogen oxides (NOx) emissions, and the environmental impact of aviation NOx emissions at cruising altitudes has received widespread attention. NOx may play a crucial role in altering the composition of the atmosphere, particularly regarding ozone formation in the upper troposphere. At present, the ground emission database based on the landing and takeoff (LTO) cycle is more comprehensive, while high-altitude emission data is scarce due to the prohibitively high cost and the inevitable measurement uncertainty associated with in-flight sampling. Therefore, it is necessary to establish a comprehensive NOx emission database for the entire flight envelope, encompassing both ground and cruise phases. This will enable a thorough assessment of the impact of aviation NOx emissions on climate and air quality. In this study, a prediction model has been developed via convolutional neural network (CNN) technology. This model can predict the ground and cruise NOx emission index for turbofan engines and mixed turbofan engines fueled by either conventional aviation kerosene or sustainable aviation fuels (SAFs). The model utilizes data from the engine emission database (EEDB) released by the International Civil Aviation Organization (ICAO) and results obtained from several in-situ emission measurements conducted during ground and cruise phases. The model has been validated by comparing measured and predicted data, and the results demonstrate its high prediction accuracy for both the ground (R2 > 0.95) and cruise phases (R2 > 0.9). This surpasses traditional prediction models that rely on fuel flow rate, such as the Boeing Fuel Flow Method 2 (BFFM2). Furthermore, the model can predict NOx emissions from aircrafts burning SAFs with satisfactory accuracy, facilitating the development of a more complete and accurate aviation NOx emission inventory, which can serve as a basis for aviation environmental and climatic research. SYNOPSIS: The utilization of the ANOEPM-CNN offers a foundation for establishing more precise emission inventories, thereby reducing inaccuracies in assessing the impact of aviation NOx emissions on climate and air quality.

Impact of Recombinant Human Granulocyte Colony-Stimulating Factor Combined with Aspirin on Clinical Pregnancy Outcomes and Endometrial Receptivity in Patients with Recurrent Abortion: A Retrospective Study.

Objective: This study investigates the impact of recombinant human granulocyte colony-stimulating factor (rhG-CSF) and aspirin on endometrial receptivity and clinical pregnancy outcomes in individuals with a history of recurrent abortions. Methods: In this retrospective study, 131 individuals with recurrent abortions treated at our facility from July 2019 to December 2020 were split into two groups: mixed therapy and control. The mixed therapy group received aspirin and rhG-CSF, while the control group had no specific treatment. Primary endpoint: live birth rate; secondary: pregnancy rate at 20 weeks. We also evaluated abortion rates, newborn weight, pre-eclampsia, premature delivery, fetal/newborn congenital malformations, and maternal drug adverse reactions. Additionally, we analyzed endometrial blood flow three weeks post-treatment. Results: The analysis encompassed 131 individuals, with 65 in the control group and 66 in the mixed therapy group. Notably, the mixed therapy group (n = 54) exhibited a markedly higher live birth rate than the control group (P < .05). In terms of medication-related side effects, the control group showed no adverse reactions, while the mixed therapy group reported mild effects (skin itching in three cases, leukocytosis in seven, and bone pain in one case) that did not significantly impact outcomes. Pre-treatment, the mixed therapy group had a notably lower resistive index, pulsatility index, and systolic-to-diastolic ratio compared to the control group, with statistical significance (P < .05). The control group's indices remained unchanged (P > .05). Conclusions: In women with a history of recurrent abortions, the administration of recombinant human granulocyte colony-stimulating factor and aspirin can effectively and safely improve live birth rates. This improvement may be associated with enhanced endometrial receptivity.

Effect of different timing of letrozole initiation on pregnancy outcome in polycystic ovary syndrome.

Objective: To investigate the efficacy of oral letrozole (LE) starting on day 3 or 5 of the menstrual cycle in patients with polycystic ovary syndrome (PCOS). Design: Retrospective cohort study. Setting: Reproductive Endocrinology Department of Hangzhou Women's Hospital. Methods: In this retrospective analysis, we analyzed patients who received oral LE for ovulation induction (OI) at the Hangzhou Women's Hospital from January 2016 to January 2021. In total, 539 PCOS patients with fertility requirements were classified into the D3 group and D5 group according to the different starting times of oral LE, that is, from the 3rd or 5th day of the menstrual cycle or LE is taken orally for 5 days starting on day 3 or 5 of progesterone withdrawal bleeding. Treatment started with one tablet (LE 2.5 mg), continue the regimen from the previous cycle in non-responders and continued until pregnancy or for up to three ovulatory cycles, with visits to determine ovulation and pregnancy, followed by tracking of pregnancies. The primary outcome was to compare ovulation rates, conception rates, live birth rates, pregnancy complications, and pregnancy outcomes at different initiation times. Results: Women who started LE on the 5th day of their menstrual cycle had more cumulative conception rates than those who started LE on the 3rd day(173 of 228[75.9%]vs. 201 of 311[64.6%], P= 0.005; rate ratio for conception, 1.174; 95% confidence interval,1.052 to 1.311) without significant differences in overall live birth rate, though there were 142 of 228[62.3%] in the D5 group versus 172 of 311[55.3%] in the D3 group (P= 0.105). The median (IQR) endometrial thickness was significantly (P = 0.013) greater during the D5 group treatment compared to the D3 group, which may be related to higher conception and clinical pregnancy rates. The median (IQR) maximum follicle diameter was not statistically (P = 0.073) different between the two groups. The cumulative ovulation per cycle rate was higher with D5 than with D3 (287 of 405 treatment cycles [70.9%] vs. 388 of 640 treatment cycles [60.6%], P=0.001). There were no significant between-group differences in pregnancy loss (31 of 173 conceptions in the D5 group [17.9%] and 29 of 201 conceptions in the D3 group [14.4%]) or multiples pregnancy (8.2% and 10.5%, respectively). Rates of other adverse events during pregnancy were similar in the two treatment groups. Conclusion: As compared with D3 group, D5 group was associated with higher ovulation and conception rates, shorter time-to-pregnancy among infertile women with the PCOS.

A novel human monoclonal Trop2-IgG antibody inhibits ovarian cancer growth in vitro and in vivo.

Trop2 is a tumor-related antigen closely related to the development of a variety of tumors and has been identified as a promising target for cancer immunotherapy. In this study, a Trop2-IgG antibody was constructed by a eukaryotic expression system based on our previously constructed Trop2-Fab antibody. SDS-PAGE, cell ELISA, affinity assays, fluorescence staining and FACS analyses were performed to characterize Trop2-IgG. Then, CCK-8, wound healing, Transwell and annexin V-PI assays were employed to evaluate the tumor inhibitory effects of Trop2-IgG on OC in vitro, while tumor-bearing mice were constructed to examine the tumor inhibitory effects of Trop2-IgG on OC in vivo. Trop2-IgG was successfully constructed by a eukaryotic expression system and maintained recognition characteristics to Trop2 antigen. In vitro, Trop2-IgG could inhibited tumor cell growth, migration, and invasion compared to those of control cells and induced tumor cell apoptosis. In vivo, Trop2-IgG exerted critical tumor inhibitory effects in OC xenografts. Our data suggest that the use of Trop2-IgG provides a potential therapeutic strategy for the immunotherapy of Trop2-expressing OC.

Antitumor activity of a newly developed monoclonal antibody against ROR1 in ovarian cancer cells.

Receptor-tyrosine-kinase-like Orphan Receptor 1 (ROR1) is a tyrosine-protein kinase transmembrane receptor and ROR1 overexpression is associated with a poor prognosis in various cancers, including ovarian cancer. Targeting of ROR1 has been evaluated as a novel cancer therapy strategy. This study developed a novel chimeric anti-ROR1 Fab antibody (named ROR1-cFab) and then assessed the antitumor activity of this antibody in ovarian cancer cells, an in vitro model of preclinical cancer therapy. A ROR1-cFab prokaryotic expression vector was constructed from positive fusion cells (splenocytes from mice with high ROR1 immune titers were fused with myeloma cells) after three rounds of sub-clone affinity screening. Then, a variety of assays were employed to assess the binding selectivity and specificity of ROR1-cFab to ROR1 protein. Furthermore, CCK8, flow cytometric apoptosis, wound healing, and Transwell migration assays were used to assess antitumor activity of this newly developed anti-ROR1 antibody in ovarian cancer cells. We demonstrated that ROR1-cFab could specifically bind to ROR1 protein and ROR1-positive ovarian cancer A2780 cells. Functional assays revealed that ROR1-cFab inhibited tumor cell proliferation and migration, as well as inducing apoptosis of ROR1-positive A2780 cells in a dose dependent manner. These effects were not observed in ROR1-negative lose386 cells. In conclusion, ROR1-cFab is a novel anti-ROR1 antibody with a high affinity to ROR1 protein and inhibitory effects on ROR1-positive cells. Future studies will determine whether the ROR1-cFab might be a promising candidate for treatment of ROR1-positive ovarian cancer.