Results 81 to 90 of about 486,539 (269)

Laser-Induced Breakdown Spectroscopy for Determination of Spectral Fundamental Parameters

Applied Sciences, 2020
In this review, we report and critically discuss the application of LIBS for the determination of plasma-emission fundamental parameters, such as transition probabilities, oscillator strengths, Stark broadening and shifts, of the emission lines in the ...
Sabrina Messaoud Aberkane, Ali Safi, Asia Botto, Beatrice Campanella, Stefano Legnaioli, Francesco Poggialini, Simona Raneri, Fatemeh Rezaei, Vincenzo Palleschi   +8 more
doaj   +1 more source

Semiclassical transition probabilities for interacting oscillators

, 1994
Semiclassical transition probabilities characterize transfer of energy between "hard" and "soft" modes in various physical systems. We establish the boundary problem for singular euclidean solutions used to calculate such probabilities.
Cornwall, Cornwall, Diakonov, Goldberg, Iordanskii, Khlebnikov, Khlebnikov, Landau, Mattis, S.Yu. Khlebnikov, Tinyakov, Voloshin   +11 more
core   +1 more source

Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin, Hui‐An Lin, Sheng‐Feng Lin   +2 more
wiley   +1 more source

Stability of Geometrically Recurrent Time-inhomogeneous Markov Chains

Austrian Journal of Statistics
This paper is devoted to establishing upper bounds for a difference of n-step transition probabilities for two time-inhomogeneous Markov chains with values in a locally compact space when their one-step transition probabilities are close.
Vitaliy Golomoziy
doaj   +1 more source

Transitive Reasoning with Imprecise Probabilities [PDF]

, 2015
We study probabilistically informative (weak) versions of transitivity, by using suitable definitions of defaults and negated defaults, in the setting of coherence and imprecise probabilities. We represent p-consistent sequences of defaults and/or negated defaults by g-coherent imprecise probability assessments on the respective sequences of ...
Gilio, A, Pfeifer, N, SANFILIPPO, Giuseppe   +2 more
openaire   +4 more sources

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

Transition probabilities for general birth-death processes with applications in ecology, genetics, and evolution

, 2011
A birth-death process is a continuous-time Markov chain that counts the number of particles in a system over time. In the general process with $n$ current particles, a new particle is born with instantaneous rate $\lambda_n$ and a particle dies with ...
A Cuyt, AS Novozhilov, B Dennis, B Klar, C Craviotto, D Levin, DG Kendall, E Renshaw, F Guillemin, Forrest W. Crawford, G Bordes, GU Yule, H Taylor, HS Wall, IJ Thompson, J Abate, J Abate, J Abate, J Abate, J Thorne, JA Murphy, JD Bankier, JFC Kingman, JFC Kingman, L Lorentzen, M Mederer, Marc A. Suchard, MEH Ismail, NTJ Bailey, OP Sharma, P Donnelly, P Flajolet, PAP Moran, PR Parthasarathy, PR Parthasarathy, S Karlin, S Karlin, S Karlin, S Karlin, S Karlin, S Mohanty, SI Rosenlund, SM Krone, W Feller, W Grassmann, WC Allee, WH Press, WJ Lentz, WK Grassmann, WY Tan   +49 more
core   +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

An improved Monte Carlo method for direct calculation of the density of states

, 2003
We present an efficient Monte Carlo algorithm for determining the density of states which is based on the statistics of transition probabilities between states.
Debenedetti, P. G., Panagiotopoulos, A. Z., Shell, M. S.   +2 more
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