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An internally validated prediction model for critical COVID-19 infection and intensive care unit admission in symptomatic pregnant women

Autor: Kalafat, E. Prasad, S. Birol, P. Tekin, A.B. Kunt, A. Di Fabrizio, C. Alatas, C. Celik, E. Bagci, H. Binder, J. Le Doare, K. Magee, L.A. Mutlu, M.A. Yassa, M. Tug, N. Sahin, O. Krokos, P. O'brien, P. von Dadelszen, P. Palmrich, P. Papaioannou, G. Ayaz, R. Ladhani, S.N. Kalantaridou, S. Mihmanli, V. Khalil, A.

Background: Pregnant women are at an increased risk of mortality and morbidity owing to COVID-19. Many studies have reported on the association of COVID-19 with pregnancy-specific adverse outcomes, but prediction models utilizing large cohorts of pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2127::c3da584886eb1b3311bcb2820e37e004
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3100371

Miniaturized photonic sensors based on micro-interferometers

Autor: García-Blanco, Sonia M., Cheben, Pavel, Oton, C. J., Elaskar, J., Bontempi, F., Piretta, F., Ayaz, R. M. A., Faralli, S., Di Pasquale, F.

Publikováno v: Proceedings of SPIE; March 2023, Vol. 12424 Issue: 1 p124240S-124240S-3, 1118164p

Amplified Phase Shift - Fiber Cavity Ring Down Spectroscopy For Biosensing Applications At 1550Nm

Autor: Cheema, M. Imran, Ullah, Ubaid, Ghauri, M. Daniyal, Ayaz, R. M. Armaghan, Uysalli, Yigit, Morova, Berna, Kiraz, Alper

We present a novel active fiber cavity platform for biosensing applications at 1550nm. We employed the phase shift-cavity ring down spectroscopy to the amplified fiber cavity and demonstrate sensing of sugar solutions with sensitivity and detection l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::0ca7b5ac22f0b951303cf2981dc5ec46
https://aperta.ulakbim.gov.tr/record/110028

multicentre prospective study

Autor: Aydin, H, Celik, O, Yazici, D, Altunok, C, Tarcin, O, Deyneli, O, Sancak, S, Kiyici, S, Aydin, K, Yildiz, BO, Cakiroglu, AY, Ozer, A, Tuzcu, AK, Kan, A, Celik, A, Uysal, A, Atmaca, A, Evren, B, Taskiran, B, Bilir, BE, Duran, C, Arpaci, D, Tuzun, D, Kavak, EC, Aydeniz, E, Akbas, EM, Ustunyurt, E, Bil, E, Guney, E, Akbaba, E, Gurkan, E, Cagliyan, E, Karakilic, E, Karakas, E, Kilinc, F, Soylemez, F, Kucukler, FK, Yorulmaz, G, Akbaba, G, Uysal, G, Kurt, G, Yaylali, GF, Selimoglu, H, Sari, H, Piskinpasa, H, Celik, H, Peynirci, H, Bilal, I, Sahin, I, Gozukara, I, Anaforoglu, I, Senyuva, I, Ugur, K, Dogan, K, Keskin, L, Mert, M, Adas, M, Tonguc, M, Eroglu, M, Kulaksizoglu, M, Ozcan, M, Cinar, N, Kutbay, NO, Dikbas, O, Bakiner, O, Turhan, OT, Tutuncuoglu, P, Sari, R, Melekoglu, R, Ayaz, R, Emral, R, Mumusoglu, S, Gorar, S, Keskek, SO, Tosun, SA, Cetinkaya, SE, Temizkan, S, Unsal, S, Demir, T, Yuce, T, Aksoy, U, Cinkir, U, Simsek, Y, Uyar, Y, Turk, Y, Pekkolay, Z, Hekimsoy, Z, Canturk, Z, Uc, ZA

Aim Prevalence rates of gestational diabetes mellitus (GDM) show considerable variation among different countries and regions of the world. The primary aim of this study was to determine the nationwide prevalence and predictors of GDM in Turkey. Meth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3566::f8bf3d74198a5fbda7d68ef0044fbcd5