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941
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942por Metcalf, Robert L, Al-Hadithi, Eamon, Hopley, Nicholas, Henry, Thomas, Hodgson, Clare, McGurk, Antony, Mansoor, Wasat, Hasan, JurjeesEnlace del recurso
Publicado 2017
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943por Kılıç, Salih, Çelik, Ahmet, Çekirdekçi, Elif, Altay, Servet, Elçik, Deniz, Akboğa, Mehmet Kadri, Durukan, Mine, Yayla, Çağrı, Zoghi, MehdiEnlace del recurso
Publicado 2019
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944“…The supernatant was transferred to a clean 2 mL deep-well plate, dried down and re-constituted with 100 µL 50:50 methanol/water. …”
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945
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946
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947por Gao, Li, Xiong, Dan-dan, He, Rong-quan, Yang, Xia, Lai, Ze-feng, Liu, Li-min, Huang, Zhi-guang, Wu, Hua-yu, Yang, Li-hua, Ma, Jie, Li, Sheng-hua, Lin, Peng, Yang, Hong, Luo, Dian-zhong, Dang, Yi-wu, Chen, Gang“…Seven cases of MIR22HG deep deletion occurred in 360 of the cancer genome atlas (TCGA) provisional HCC samples. …”
Publicado 2019
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948
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949
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950por Zengin, Emine, Sarper, Nazan, Yazal Erdem, Arzu, Odaman Al, Işık, Sezgin Evim, Melike, Yaralı, Neşe, Belen, Burcu, Akçay, Arzu, Türedi Yıldırım, Ayşen, Karapınar, Tuba Hilkay, Güneş, Adalet Meral, Aylan Gelen, Sema, Ören, Hale, Olcay, Lale, Baytan, Birol, Gülen, Hüseyin, Öztürk, Gülyüz, Orhan, Mehmet Fatih, Oymak, Yeşim, Akpınar, Sibel, Tüfekçi, Özlem, Albayrak, Meryem, Tatlı Güneş, Burçak, Canpolat, Aylin, Özbek, NamıkEnlace del recurso
Publicado 2021
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951
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952
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953
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954por Snöbohm, Carl, Malmberg, Filip, Freyhult, Eva, Kultima, Kim, Fällmar, David, Virhammar, Johan“…INTRODUCTION: White matter changes (WMC) on brain imaging can be classified as deep white matter hyperintensities (DWMH) or periventricular hyperintensities (PVH) and are frequently seen in patients with idiopathic normal pressure hydrocephalus (iNPH). …”
Publicado 2022
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955por Yoshihara, Akihiro, Nishihama, Kota, Inoue, Chisa, Okano, Yuko, Eguchi, Kazuhito, Tanaka, Soichiro, Maki, Kanako, Fridman D'Alessandro, Valeria, Takeshita, Atsuro, Yasuma, Taro, Uemura, Mei, Suzuki, Toshinari, Gabazza, Esteban C, Yano, YutakaEnlace del recurso
Publicado 2022
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956“…MATERIALS AND METHODS: We conducted a retrospective cohort study with the largest after-hour house-call (AHHC) service dataset in Japan. Participants were ≥16 years and used the AHHC service between 1 November 2018 and 31 January 2021. …”
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957“…Physicochemical descriptors, MACCS keys, ECFP4 fingerprints and SMILES were first calculated to represent the compounds in our in-house dataset. Two deep learning (DL) models and nine classical machine learning (ML) models were then constructed based on different combinations of the above molecular representations under three activity cutoff values, and a total of 15 groups of experiments (75 experiments) were implemented. …”
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958“…In total, 20 moderators participated in this study, and described their experiences and efforts to follow a consistent and shared protocol for responding to common scenarios in the online community. Many reported the deep connections formed by the online community, the helpful and thoughtful responses that members give each other and the satisfaction of seeing progress in members’ recovery. …”
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959“…To investigate this, groups of pregnant heifers were allocated to deep straw bedding (Soft) or cubicles (Hard), both with scraped concrete feeding alleys. …”
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960por He, Dongting, Zou, Tiande, Gai, Xiangrong, Ma, Jideng, Li, Mingzhou, Huang, Zhiqing, Chen, Daiwen“…These sets of miRNA may play house keeping roles that were involved in myogenesis. …”
Publicado 2017
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