Results 251 to 260 of about 1,005,997 (319)

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

open access: yesDeep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan   +6 more
wiley   +1 more source

Parameter identifiability of linear-compartmental mammillary models. [PDF]

open access: yesBull Math Biol
Clemens K   +4 more
europepmc   +1 more source

Whole tissue imaging of cellular boundaries at sub‐micron resolutions for deep learning cell segmentation: Applications in the analysis of epithelial bending of ectoderm

open access: yesDevelopmental Dynamics, EarlyView.
Abstract Background To understand cellular morphology, biologists have relied on traditional optical microscopy of tissues combined with tissue clearing protocols to image structures deep within tissues. Unfortunately, these protocols often struggle to retain cell boundary markers, especially at high enough resolutions necessary for precise cell ...
Sam C. P. Norris   +2 more
wiley   +1 more source

Fractal fractional approach to investigate the forecasting and dynamics of malaria disease for early control precaution. [PDF]

open access: yesSci Rep
Farman M   +7 more
europepmc   +1 more source

An algorithm for seizure detection in rodents

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky   +9 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus   +7 more
wiley   +1 more source

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