Results 101 to 110 of about 1,404,374 (329)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
General Weak Laws of Large Numbers for Bootstrap Sample Means [PDF]
AMS classifications: 60F05, 62G09; 62G20.Bootstrap sample mean;weak law of large numbers;convergence in probability;almost certain ...
Einmahl, J.H.J., Rosalsky, A.
core +1 more source
Solving random boundary heat model using the finite difference method under mean square convergence [PDF]
, 2019 J.‐C. Cortés +3 more
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Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang +22 more
wiley +1 more source
Impact of Plasma p‐tau181 on Cognition, Motor Phenotypes, and Disease Course in ALS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Phosphorylated tau181 (p‐tau181), an Alzheimer's disease biomarker, was recently evaluated in amyotrophic lateral sclerosis (ALS). We investigated plasma p‐tau181 in 202 ALS/ALS‐FTD patients and 94 healthy controls, assessing cognitive performance, motor function, and longitudinal dynamics.
Elisabeth Kasper +25 more
wiley +1 more source
A Stochastic Total Least Squares Solution of Adaptive Filtering Problem
The Scientific World Journal, 2014 An efficient and computationally linear algorithm is derived for total least squares solution of adaptive filtering problem, when both input and output signals are contaminated by noise.
Shazia Javed, Noor Atinah Ahmad
doaj +1 more source
Sigma Convergence Versus Beta Convergence: Evidence from U.S. County-Level Data [PDF]
This note outlines (i) why σ-convergence may not accompany β-convergence; (ii) cites evidence of β-convergence in the U.S.; (iii) demonstrates that σ-convergence does not hold across the U.S., or within most U.S.
Andrew T. Young +2 more
core
Means and convergent sequences
Aequationes mathematicaeAbstract We generalize a theorem of Housen Li and Markus Haltmeier (which was stated for the arithmetic mean) to the following result: Let M be a strict, continuous and monotonous k-mean on an interval. If each element of a sequence in this interval is bounded from above by the mean of the preceding k elements then the sequence is convergent.
openaire +1 more source
Families of Sample Means Converge Slowly
The Annals of Probability, 1977 The uniform empirical integral differences of Sethuraman's large deviation theorem are proved to converge arbitrarily slowly.
openaire +3 more sources