Results 131 to 140 of about 26,762 (233)

NSE with seasonality

, 2017
openaire   +2 more sources

Differences in concentration of neuron-specific enolase (NSE), neutrophil elastase (NE), and calcium-binding protein S100B in viral diseases: a pilot study focused on normoglycemic COVID-19 patients. [PDF]

Front Mol Biosci
Adamiec-Mroczek J, Bronowicka-Szydełko A, Lewandowski Ł, Nowak B, Turno-Kręcicka A, Misiuk-Hojło M, Stanek M, Matera-Witkiewicz A, Krupińska M, Gostomska-Pampuch K, Kuźnik E, Rabczyński M, Matusiewicz M, Berdowska I, Korbecka M, Mykhailova D, Przystupa Z, Smyk B, Wojakowska A, Amedei A, Trocha M, Madziarska K.   +21 more
europepmc   +1 more source

Pregnancy as a risk factor for central serous chorioretinopathy: A systematic review and meta‐analysis

Acta Ophthalmologica, Volume 104, Issue 3, Page 259-266, May 2026.
Abstract Purpose Pregnancy induces significant changes in the body, including increased peripheral and choroidal blood perfusion and an increased systemic corticosteroid level. Here, we systematically reviewed the evidence on pregnancy as a risk factor for developing central serous chorioretinopathy (CSC) and conducted a meta‐analysis to obtain a ...
Nathalie Skovgaard Eriksen, Zainab Fakhril‐din, Riccardo Fasana, Rodrigo Anguita, Elon H. C. van Dijk, Lorenzo Ferro Desideri, Jakob Grauslund, Michael Stormly Hansen, Oliver Niels Klefter, Armin Motaabbed, Line Petersen, Prithvi Ramtohul, Mehmet Cem Sabaner, Osman Savran, Miklos Schneider, Yousif Subhi   +15 more
wiley   +1 more source

The Value of Forecasters‐in‐the‐Loop in Real‐Time Flood Forecasting in the Age of Machine Learning

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Machine learning (ML) applications in hydrological forecasting are increasingly prevalent and show great potential. However, many previous studies have only evaluated performance through reanalysis or retrospective simulations compared to simplified baselines.
Vinh Ngoc Tran, Donghui Xu, Phong Le, Jongho Kim, Tam Van Nguyen, Giang Tien Nguyen, Pedro J. Restrepo, Valeriy Y. Ivanov   +7 more
wiley   +1 more source

Correction: Serum NSE and EEG sleep figures for prognostication of short-term outcomes in adults with severe COVID-19 pneumonia: a prospective single-center study. [PDF]

Sci Rep
Piljan M, Celier A, Vellieux G, Pecot I, Wicky PH, Jaquet P, Manceau H, Bouadma L, de Montmollin E, Varnet O, Timsit JF, Peoc'h K, Sonneville R.   +12 more
europepmc   +1 more source

Hidden Complexity in Reservoir Flow Regulation Revealed by Spectral Analysis

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Understanding reservoir regulation of streamflow is critical for hydrological modeling and ecohydrological assessments, yet our knowledge of how reservoirs preferentially modify flow variability remains limited. Here we apply spectral analysis to daily inflow‐outflow data from 205 US reservoirs, decomposing regulation effects into operational ...
Fenghe Zhang, Peirong Lin, Tongbi Tu
wiley   +1 more source

Adaptive querying for reward learning from human feedback. [PDF]

Front Robot AI
Anand Y, Nwagwu N, Sabbe K, Fitter NT, Saisubramanian S.   +4 more
europepmc   +1 more source

NSE concentrations and haemolysis after cardiac arrest [PDF]

Intensive Care Medicine, 2019
Pekka Jakkula, Markus B. Skrifvars, Ville Pettilä, Johanna Hästbacka, Matti Reinikainen   +4 more
openaire   +2 more sources

Operational Near Real Time Global Riverine Sediment Flux Estimates From Space

Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract We present global estimates of riverine sediment flux derived from an open‐source suite of algorithms using the Harmonized Landsat Sentinel (HLS) and discharge products. We estimated Sediment Concentration (suspended sediment concentration [SSC]) via neural networks, trained and tested on matchups of in situ and HLS data, obtaining a median ...
L. V. Lucchese, R. Daroya, T. Simmons, P. Prum, N. Tebaldi, T. Pavelsky, S. Maji, J. Gardner, C. J. Gleason   +8 more
wiley   +1 more source

Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning. [PDF]

PLoS One
Zhang Z, Xiao Y, Chen B, Long K, Liang F, Liao J.   +5 more
europepmc   +1 more source