Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Relationship between follicular fluid and serum levels of vitamin C and oocyte morphology and embryo quality in patients undergoing in vitro fertilization

Objectives: This study aimed to determine the relationship between follicular fluid (FF) and serum level of vitamin C and oocytes morphology and embryo quality in patients undergoing in vitro fertilization (IVF). Materials and Methods: This is a cross-sectional study which was conducted on 50 women undergoing IVF in Al-Zahra hospital in Rasht, Iran during 2014. Vitamin C level in FF and serum were measured using high-performance liquid chromatography (HPLC). Retrieval oocyte morphology and obtained embryo quality were evaluated using inverted optical microscope. Results: In our study 434 oocytes and 199 embryos were assessed. Frequencies of metaphase II (MII) oocytes were significantly higher at 1-1.5 mg/dL level of vitamin C in FF (86.4%) and 0.5-1 mg/dL serum level of vitamin C (83.2%). Odds of having MII oocytes at the 1-1.5 mg/dL level of vitamin C in FF (odds ratio [OR] = 15.02, 95% CI = 2.77-81.54) was 15 times greater than the level of 1.5-2.3 mg/dL. The most frequency of embryo with Z1 or Z2 quality were observed at 0.1-0.5 mg/dL level of vitamin C in FF (69.3%) and 0.5-1 mg/dL level of vitamin C in serum (84.3%). odds of having embryo with Z1 or Z2 quality, at the 0.1-0.5 mg/dL level of vitamin C in FF (OR = 3.08, 95% CI = 1.21-7.83), was 3 times greater compared to the 1-2.3 mg/dL level. Conclusion: At the certain level of vitamin C in FF, clinicians may have oocytes with higher maturity and embryos with better quality