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  • Human herpesvirus 6B greatly increases risk of depression by activating hypothalamic-pituitary-adrenal axis during latent phase of infection.
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  • This dataset consists of 2702 audio files (Mono, 16 kHz, 32-bit float in *.wav format) classified as Vietnamese questions. The dataset is useful for various Vietnamese question / intention detection research and development activities. Copyright 2018 FPT Corporation Permission is hereby granted, free of charge, non-exclusive, worldwide, irrevocable, to any person obtaining a copy of this data or software and associated documentation files (the “Data or Software”), to deal in the Data or Software without restriction, including without limitation the rights to use, copy, modify, remix, transform, merge, build upon, publish, distribute and redistribute, sublicense, and/or sell copies of the Data or Software, for any purpose, even commercially, and to permit persons to whom the Data or Software is furnished to do so, subject to the following conditions: The above copyright notice, and this permission notice, and indication of any modification to the Data or Software, shall be included in all copies or substantial portions of the Data or Software. THE DATA OR SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATA OR SOFTWARE OR THE USE OR OTHER DEALINGS IN THE DATA OR SOFTWARE. Patent and trademark rights are not licensed under this FPT Public License.
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  • Original blots for figures in manuscript
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  • Phylogenetic tree for Gelechioidea. The tree was constructed using nucleotide sequences of 13 protein-coding genes, two rRNA genes, and 22 tRNA genes via the Bayesian inference method. The numbers at each node indicate the Bayesian posterior probabilities. The scale bar indicates the number of substitutions per site. Two species belonging to the family Gracillariidae in Gracillarioidea were used as outgroups. GenBank accession numbers are as follows: Perimede sp., KJ508041 (Timmermans et al. 2014); Ethmia eupostica, KJ508047 (Timmermans et al. 2014); Helcystogramma macroscopa, KT354968 (Ma et al. 2016); Dichomeris ustalella, KU366706 (Park et al. 2016b); Pectinophora gossypiell, KM225795 (Zhao et al. 2016); Tecia solanivora, KT326187 (Ramírez-Ríos et al. 2016); Mesophleps albilinella, KU366707 (Park et al. 2016b); Promalactis suzukiella, KM875542 (Park et al. 2016c); Stathmopoda auriferella, KX138529 (Jeong et al. 2016); Hieromantis kurokoi, KU605775 (Park et al. 2016a); Atrijuglans hetaohei, KT581634 (Wang et al. 2016); Endrosis sarcitrella, KJ508037 (Timmermans et al. 2014); Oegoconia novimundi, KJ508036 (Timmermans et al. 2014); Phyllonorycter froelichiella, KJ508048 (Timmermans et al. 2014); and Cameraria ohridella, KJ508042 (Timmermans et al. 2014).
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  • Raw images from western blots, immunofluorescence microscopy and EM.
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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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  • Research data
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