Results 111 to 120 of about 25,059,290 (251)
In brain mapping studies of sensory, cognitive, and motor operations, specific waveforms of dynamic neural activity are predicted based on theoretical models of human information processing. For example in event-related functional MRI (fMRI), the general
James R. Moeller, Christian G. Habeck
doaj +1 more source
GLM-based wAV and Bayesian modelling analysis overview.
(A) The GLM-based wAV and Bayesian modelling analysis were performed on auditory (‘A’) and visual (‘V’) spatial estimates that were indicated by participants as behavioural localisation responses (left, ‘Behaviour’) or decoded from participants’ EEG ...
Máté Aller (6541937) +1 more
core +1 more source
Harnessing the Potential of LLMs in Hospital Management: Insights Into Medical Data Inquiry
ABSTRACT Background Considering the rapid expansion of hospital operations and the increasing digitisation of medical data, there is a pressing need for efficient and intelligent methods to process and analyse large‐scale medical data. Methods We integrated the QLoRA algorithm with ChatGLM2‐6b, Llama2‐7b, and Llama2‐13b models, fine‐tuning them on a ...
Jiaxi Li +4 more
wiley +1 more source
Definition of a linear equivalent model for a non-linear system with impacts [PDF]
Modal characteristics of non-linear system are typically studied through response to harmonic excitation and using various definitions of non-linear modes. However, few results are available for systems under broadband excitation.
BALMES, Etienne +2 more
core
Non-linear climate feedback analysis in an atmospheric general circulation model
. A method is described for evaluating the ‘partial derivatives ’ of globally averaged top-of-atmosphere (TOA) radiation changes with respect to basic climate model physical parameters.
Power, S. B. +5 more
core +1 more source
A Two‐Step Procedure for Generating Domestic and Asymmetric Trade Costs When Data Are Scarce
ABSTRACT The practice of domestic trade cost measurement faces several challenges related to data quality, methodology and theory; but the major issue is that of data scarcity. Due to these facts, both domestic and asymmetric trade costs have been ignored despite being a feature of modern trade models.
Arman Mazhikeyev
wiley +1 more source
Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in the analysis. Recent work combined shallow neural networks (SNNs)
José Diogo Marques dos Santos +2 more
doaj +1 more source
Objective: Assessing, through ecological modeling, which environmental variables explain the species richness of fish in streams in southern Maranhão. Theoretical framework: Ecological modeling techniques that correlate species abundance or richness as response variables with environmental predictors are used to predict the probability of species ...
Thamires Barroso Lima +5 more
openaire +1 more source
Abstract Objective Preterm birth presents a substantial health, psychological, and economic burden worldwide. Environmental factors, including temperature fluctuations, are known to influence the risk of preterm birth. This study aimed to investigate the association between high temperatures and heat load and preterm births. Methods Using a time‐series
Bernard Barzilay +4 more
wiley +1 more source
Nitrogen (N) is an essential nutrient for rice (Oryza sativa L.) growth and development. However, the lower nitrogen use efficiency (NUE) results in an N fertilizer surplus, which causes many environmental problems. In this study, genome‐wide association
Shuangshuang Luo +17 more
doaj +1 more source

