Results 111 to 120 of about 1,454,993 (340)

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

Search for gravitational waves from low mass compact binary coalescence in LIGO’s sixth science run and Virgo’s science runs 2 and 3 [PDF]

, 2012
We report on a search for gravitational waves from coalescing compact binaries using LIGO and Virgo observations between July 7, 2009, and October 20, 2010.
Abadie, J., Abbott, B. P., Abbott, R., Adhikari, Rana X., Ajith, P., Anderson, S. B., Arai, K., Araya, M. C., Betzwieser, J., Billingsley, G., Black, E., Blackburn, J. K., Bork, R., Brooks, A. F., Cepeda, C., Chalermsongsak, T., Chen, Y., Corsi, A., Coyne, D. C., Dannenberg, R., Daudert, B., Dergachev, V., DeSalvo, R., Drever, R. W. P., Driggers, J. C., Ehrens, P., Engel, R., Etzel, T., Fotopoulos, N., Gustafson, E. K., Hanna, C., Harms, J., Heefner, J., Heptonstall, A. W., Hodge, K. A., Hong, T., Ivanov, A., Jacobson, M., Kalmus, P., Kells, W., Keppel, D. G., King, P. J., Kondrashov, V., Korth, W. Z., Kozak, D., Lazzarini, A., Lindquist, P. E., Luan, J., Mageswaran, M., Mailand, K., Marandi, A., Maros, E., Marx, J. N., McIntyre, G., Meshkov, S., Nash, T., Ogin, G. H., Osthelder, C., Ott, C. D., Patel, P., Pedraza, M., Phelps, M., Price, L. R., Privitera, S., Robertson, N. A., Sannibale, V., Santamaria, L., Searle, A. C., Seifert, F., Sengupta, A. S., Singer, A., Singer, L., Smith, M. R., Somiya, K., Stochino, A., Taylor, R., Thorne, K. S., Torrie, C. I., Vallisneri, M., Vass, S., Villar, A. E., Wallace, L., Weinstein, Alan J., Wen, L., Whitcomb, S. E., Willems, P. A., Yamamoto, H., Yang, H., Yeaton-Massey, D., Zhang, L., Zweizig, J.   +90 more
core  

Hot Stars in the GALEX Ultraviolet Sky Surveys (GUVcat_AISxSDSS_HS) and the Binary Fraction of Hot Evolved Stars

The Astrophysical Journal Supplement Series
We present a catalog of 71,364 pointlike UV sources with Sloan Digital Sky Survey (SDSS) photometry and GALEX far-UV (FUV)−near-UV (NUV) ≤0.1 mag.
Luciana Bianchi
doaj   +1 more source

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. III. Optical and UV Spectra of a Blue Kilonova from Fast Polar Ejecta [PDF]

, 2017
We present optical and ultraviolet spectra of the first electromagnetic counterpart to a gravitational-wave (GW) source, the binary neutron star merger GW170817.
M. Nicholl, E. Berger, D. Kasen, D. Kasen, B. Metzger, J. Elias, C. Briceño, K. Alexander, P. Blanchard, R. Chornock, P. Cowperthwaite, T. Eftekhari, W. Fong, R. Margutti, V. Villar, P. G. Williams, Warren R. Brown, J. Annis, A. Bahramian, D. Brout, Duncan A. Brown, H. Chen, J. Clemens, E. Dennihy, B. Dunlap, D. Holz, E. Marchesini, F. Massaro, F. Massaro, N. Moskowitz, I. Pelisoli, I. Pelisoli, A. Rest, A. Rest, F. Ricci, F. Ricci, M. Sako, M. Soares-Santos, M. Soares-Santos, J. Strader   +39 more
semanticscholar   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Search for Eccentric Binary Neutron Star Mergers in the first and second observing runs of Advanced LIGO

, 2020
We present a search for gravitational waves from merging binary neutron stars which have non-negligible eccentricity as they enter the LIGO observing band. We use the public Advanced LIGO data which covers the period from 2015 through 2017 and contains $\
Brown , D., Lenon , A., Nitz, A.
core   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

The First Direct Occurrence Rate Estimates for Kepler Exoplanets in Small-separation Binary Star Systems: Planet Occurrence Is Suppressed in Binary Stars

The Astronomical Journal
Exoplanet occurrence rates facilitate comparisons between observations of planets and theoretical models of planet formation. Despite their deductive power, exoplanet occurrence rates for half the stars in the sky are missing because occurrence rate ...
Kendall Sullivan, Anne Dattilo, Natalie M. Batalha   +2 more
doaj   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Hot subdwarf formation: Confronting theory with observation

EPJ Web of Conferences, 2013
The formation of hot subdwarf stars is still unclear. Both single-star and binary scenarios have been proposed to explain the properties of these evolved stars situated at the extreme blue end of the horizontal branch. The observational evidence gathered
Geier S.
doaj   +1 more source