Results 161 to 170 of about 557,766 (311)

Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach. [PDF]

Neuroinformatics
Rudnicka Z, Szczepanski J, Pregowska A.
europepmc   +1 more source

Carbon, Nitrogen, and Corresponding Stable Isotope Signatures Reveal Channel Banks as Major Sediment Sources in a Tropical Agricultural Watershed

Land Degradation &Development, EarlyView.
ABSTRACT Uncertainties about the applicability of δ13C and δ15N as tracers of sediment sources in tropical river basins highlight the need for more in‐depth investigations of these isotopes. This study therefore assessed the effectiveness of δ13C and δ15N signatures in discriminating sediment sources in an agricultural catchment in Northeast Brazil ...
Fábio Farias Amorim, Yuri Jacques Agra Bezerra da Silva, Rennan Cabral Nascimento, Ygor Jacques Agra Bezerra da Silva, Angelo Jamil Maia, Tales Tiecher, Jean Paolo Gomes Minella, Yusheng Zhang, Hari Ram Upadhayay, Simon Pulley, Adrian L. Collins   +10 more
wiley   +1 more source

Modelling ion channels with a view towards identifiability. [PDF]

Bull Math Biol
Siekmann I.
europepmc   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Progress of chronic kidney disease and associated predictors among patients under treatment at Gambi and Felege-Hiwote hospitals. [PDF]

Sci Rep
Demssie ME, Tegegne AS, Workie DL.
europepmc   +1 more source

Hybrid Reaction–Diffusion Epidemic Models: Dynamics and Emergence of Oscillations

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we construct a hybrid epidemic mathematical model based on a reaction–diffusion system of the SIR (susceptible‐infected‐recovered) type. This model integrates the impact of random factors on the transmission rate of infectious diseases, represented by a probabilistic process acting at discrete time steps.
Asmae Tajani, Cristiana J. Silva, Guillaume Cantin   +2 more
wiley   +1 more source

Causal networks guiding large language models: application to COVID-19. [PDF]

Health Care Manag Sci
Alemi F, Lybarger KJ, Vang J, Lin Y, Elyazori HRA, Cardenas VF.   +5 more
europepmc   +1 more source

Approximation of Discontinuous Functions by Positive Linear Operators. A Probabilistic Approach

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We obtain approximation results for general positive linear operators satisfying mild conditions, when acting on discontinuous functions and absolutely continuous functions having discontinuous derivatives. The upper bounds, given in terms of a local first modulus of continuity, are best possible, in the sense that we can construct particular ...
J.A. Adell, P. Garrancho, F.J. Martínez‐Sánchez   +2 more
wiley   +1 more source

Activity Detection and Channel Estimation Based on Correlated Hybrid Message Passing for Grant-Free Massive Random Access. [PDF]

Entropy (Basel)
Liu X, Gong X, Fu X.
europepmc   +1 more source

On the Mean‐Field Limit of Consensus‐Based Methods

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley   +1 more source