Results 81 to 90 of about 153,360 (268)
Particle size distribution (PSD) is a key parameter in understanding the physical characteristics of nicotine pouch products. This study presents the results of a proficiency testing (PT) study conducted across eight laboratories (Labs 1–8) to assess the
Platt Sean P. +7 more
doaj +1 more source
Traditional process validation life cycles need to be tailored to the specific needs of live microbial products (LMPs). LMPs can be divided into subcategories, and the product characteristics are the basis for the regulatory category and thereby the ...
Ralph Slijkerman +5 more
doaj +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Descriptive Consumer-Reported Outcome Measures (CROM) are self-reported survey outcome measures intended to measure observable characteristics and behaviors in research on tobacco- and nicotine-containing products (TNPs).
Wei Lai +5 more
doaj +1 more source
In Praise of Monumentality: Vertical Urbanism and the Human Condition
The skyscraper has long represented modernity’s ambition, yet its civic and emotional potential remains overlooked. This paper reexamines the skyscraper through Sigfried Giedion’s framework of monumentality, not as spectacle or isolated icon, but as a ...
Wayde Tardif
doaj +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
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
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley +1 more source

