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  • Smoke Test (HomeWiFI) 28May2020 natscilivecustomer (Dataset-1)
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  • Study question Is it effective for patients taking dienogest to use progestin-primed ovarian stimulation (PPOS) protocol during controlled ovarian hyperstimulation (COH), compared to PPOS with dydrogesterone (DYG)? Study answer Patients taking dienogest can continue the endometriosis treatment and get good quality embryo using PPOS during COH, despite they have severe ovarian endometriosis. What is known already Dienogest is an oral progestin effective for the treatment of symptomatic endometriosis, such as reduction of endometrial lesion and control of pain intensity with safe profile and good tolerability. Dienogest also provides complete ovulation inhibition at a daily dose of 2mg, and a rapid recovery of ovarian function after cessation of its administration. PPOS is a new COH regimen using a progestin as alternative to GnRH antagonist for blocking LH surge, and several reports have shown that DYG is an appropriate progestin for PPOS protocol. However, dienogest has not been used in PPOS protocol yet. Study design, size, duration This was a prospective controlled study of 145 women with endometriosis (aged <41) undergoing COH for IVF/ICSI and frozen embryo transfer (FET) at our infertility center from February in 2018 to November in 2019. The patients taking dienogest were allocated in Study group, and the other patients taking PPOS with DYG were allocated in Control group. Participants/ Materials, setting, methods A total of 145 patients were analyzed, PPOS with DNG: 71 patients, PPOS with DYG: 74 patients. Of the participants, 111 patients were histologically confirmed as endometriosis and 39 patients were diagnosed with published imaging criteria using transvaginal ultrasonography, respectively. Patients took DNG 2mg continuously in DNG group, and DYG were started day 3 of COH cycle. Patients were administrated with 150-225 IU of human menopausal gonadotropin (hMG) daily for COH. All viable embryos were cryopreserved for later transfer. The primary outcome measure was the clinical pregnancy rate. Main Results The number of oocytes retrieved in DNG group was less than that of DYG group (6.18±3.60 vs. 9.85±5.77, P<0.001), however, the rate of mature oocytes in DNG group was significantly higher than in DYG group [89.1% (391/439) vs. 78.9% (575/729), P<0.001].The fertilization rate was comparable between the two groups (C-IVF; 69.0% for DNG group vs. 65.1% for DYG group, P=0.510, ICSI; 80.1% for DNG protocol vs. 78.2% for DYG group, P=0.558). The clinical pregnancy rate [Odds ratio (OR) 1.15, 95%CI: 0.69~1.94, P=0.579 ] :50.5% (54/107) for DNG group vs.46.8% (59/126) for DYG group. The ongoing pregnancy rate [OR 0.70, 95%CI: 0.45~1.61, P=0.323]:55.2% (37/67) for DNG group vs.63.6% (42/66) for DYG group did not differ between the two groups.
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  • Do you lose control by investing in risky securities? Are low risky investments the best options for those who like to play it safe? Why do people speculate in risky assets? What is value investing and why do legends like Warren Buffet and Peter Lynch prefer value investing? This research will address these questions and will focus on busting the financial myth of “You need to speculate to accumulate”. It will analyze the returns generated by stocks having high risk and stocks having low risk linked to a real-time basis by taking the historical prices. The paper will conduct hypothesis testing regarding the statement proposed that whether risky investments generate higher returns or not. The research will give light on Low-volatility anomaly and will provide a solution in determining which kind of stock will be a safer bet to generate higher returns in a longer time frame. The research will consider the financials of the riskiest stocks in the past few years and will analyze their return accordingly.
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  • This is the primary data used in our publication by Kori et al., 2020
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  • Raw data files for APP and Abeta quantification, DNA electrophoresis, Illumina GSA chip, qPCR, Sanger sequencing
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  • Research data
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  • Research data
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