Results 161 to 170 of about 2,393,512 (361)

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation

open access: yesAdvanced Theory and Simulations, EarlyView.
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
wiley   +1 more source

Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker

open access: yesAdvanced Science, EarlyView.
The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio   +22 more
wiley   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

Non-formal interviews as model interfaces: A case for deep learning in workplace instructional design research

open access: yesInovacije u Nastavi
This paper introduces non-formal interviews as a method of qualitative data collection in instructional design research (IDR), particularly in workplace-based lifelong learning interventions. Drawing on case study and autoethnographic reflection on prior
Roberto Rojas-Alfaro
doaj   +1 more source

Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles

open access: yesAdvanced Science, EarlyView.
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li   +5 more
wiley   +1 more source

FocusE: A semantic extension of FocusST [PDF]

open access: yesarXiv
To analyse and verify the safety and security properties of interactive systems, a formal specification might be necessary. There are many types of formal languages and frameworks. The decision regarding what type of formal specification should be applied in each particular case depends on many factors.
arxiv  

Nano‐Anesthetics Regulate Neuro‐Immune Interaction for Treating Neuropathic Pain

open access: yesAdvanced Science, EarlyView.
Ce‐UiO‐66‐Bupivacaine (CUB) demonstrates triple therapeutic innovation: 1) Sustained analgesia with ROS scavenging synergistically resolves neuropathic pain; 2) Microglia/astrocyte polarization switch reprograms the pro‐regenerative immune microenvironment; 3) CGRP‐TSP‐1 axis activation couples inflammation suppression to axon regeneration, defining a ...
Yue Wang   +9 more
wiley   +1 more source

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

open access: yesAdvanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang   +8 more
wiley   +1 more source

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