Results 121 to 130 of about 6,358,133 (270)

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Impaired episodic-like memory in a mouse model of Alzheimer's disease is associated with hyperactivity in prefrontal-hippocampal regions. [PDF]

Dis Model Mech, 2023
Tan S, Tong WH, Vyas A.
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Perirhinal cortex and the neural basis of object memory in the rat [PDF]

, 2002
This thesis aimed to investigate the role of the perirhinal cortex in object memory in the rat. The first experiment tested the hypothesis that the perirhinal cortex is critical to memory for relationships between objects by testing postoperative ...
Norman, Gill, Norman, Gillian
core  

Modulation of the rat hippocampal-cortex network and episodic-like memory performance following entorhinal cortex stimulation. [PDF]

CNS Neurosci Ther, 2022
Jiang Y, Liu DF, Zhang X, Liu HG, Zhang C, Zhang JG.   +5 more
europepmc   +1 more source

Stochastic Locomotion Emerging From Body–Environment Interactions in a Mexican Jumping Bean–Inspired Robot

Advanced Intelligent Systems, EarlyView.
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan, Alessio Mondini, Edoardo Sinibaldi, Barbara Mazzolai   +3 more
wiley   +1 more source

Immune Modulatory Therapy for Severe Dengue Hemorrhagic Fever in a Patient With Mitochondrial Complex I Deficiency: A Case Report

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Dengue virus (DENV) poses a serious global health challenge, particularly in cases of dengue hemorrhagic fever (DHF). Patients with preexisting mitochondrial disorders may be at increased risk for complications due to the specific impact of DENV on mitochondrial‐dependent cellular processes and immune function.
Audra N. Iness, Ameya S. Walimbe, Emily R. Strouphauer, Michio Hirano, Alejandro D. Iglesias, Valentina Emmanuele, Caitlin C. Griffin, Sheldon L. Kaplan, William A. Gomes, Karen K. Moeller, Stephen F. Kralik, Fernando Scaglia   +11 more
wiley   +1 more source

Episodic Clustering of Data Streams Using a Topology-Learning Neural Network [PDF]

, 2012
Tscherepanow M, Kühnel S, Riechers S. Episodic Clustering of Data Streams Using a Topology-Learning Neural Network. In: Lemaire V, Lamirel J-C, Cuxac P, eds. Proceedings of the ECAI Workshop on Active and Incremental Learning (AIL).
Lamirel, Jean-Charles, Tscherepanow, Marko, Riechers, Sören, Kühnel, Sina, Lemaire, Vincent, Cuxac, Pascal   +5 more
core  

Cognitive Dysfunction in Chronic Rhinosinusitis: A Scoping Review

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Cognitive dysfunction is increasingly recognized as an extra‐nasal manifestation of chronic rhinosinusitis (CRS). This scoping review characterizes the primary evidence on cognition in adult CRS, covering measures, treatment response, and incident dementia.
Luke M. O'Neil, Hannan A Qureshi, Logan Lindemann, David J. Cvancara, Ashton E. Lehmann, Aria Jafari   +5 more
wiley   +1 more source