Lumped modeling of bubbling fluidized beds for high‐temperature processes
AIChE Journal, EarlyView.Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh +3 more
wiley +1 more source
Enhancing health literacy and patient engagement through a privacy-aware social network-based digital health communication framework. [PDF]
Front Public HealthAllheeib N, Khan S, Mohammad F, Khan DM.
europepmc +1 more source
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
Advanced Intelligent Discovery, EarlyView.High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
The Eurostack of digital health cybersecurity. [PDF]
Front Digit HealthBrightwell C, Carboni C, Halpern O.
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Hydrodynamic Cavitation in Juice Processing: Linking PME, PPO, and POD Responses to Physicochemical Stability and Quality Retention. [PDF]
MoleculesAlbanese L.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
Advanced Intelligent Discovery, EarlyView.MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source
Software Reference Architecture for Real-Time Mobile Digital Phenotyping: Evaluation of System Designs. [PDF]
JMIR Form ResKim I +4 more
europepmc +1 more source
Multi-Objective Optimization for Data Center HVAC Systems Based on Edge-Cloud Collaborative Deep Reinforcement Learning. [PDF]
Sensors (Basel)Huang S, Zhou Y, Liu Y.
europepmc +1 more source