Results 221 to 230 of about 1,916 (270)

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

Sociocultural correlates and epidemiological patterns of non-alcoholic beer consumption: a cross-sectional study in Poland. [PDF]

BMJ Open
Silczuk A, Lewandowska A, Baran T, Koweszko T, Mularczyk-Tomczewska P, Gujska J, Tatara M, Gałecka M.   +7 more
europepmc   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
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, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

A Concept for Smartphone-Based Emergency Flight Data Indication Systems in Light Aircraft. [PDF]

Sensors (Basel)
Kaczyński J, Rzucidło P.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Serological survey of antibodies against Toxoplasma gondii and Neospora caninum in pigs from various regions of Poland. [PDF]

BMC Vet Res
Augustyniak A, Dors A, Niemyjski R, Pomorska-Mól M.   +3 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Study of Behaviors Related to Over-the-Counter Medications, in Particular Nonsteroidal Anti-Inflammatory Drugs, in the General Polish Population. [PDF]

Healthcare (Basel)
Kiedrowska K, Pawlicka A, Malinoś K, Sokołowska E, Marlicz W, Koulaouzidis A, Czapla N, Skonieczna-Żydecka K.   +7 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Functional and Rheological Properties of Gluten-Free Flour Blends from Brown <i>Eragrostis tef</i> (Zucc.) Trotter and <i>Glycine max</i> (L.) Merr. [PDF]

Molecules
Mekuria SA, Marcinkowski D, Harasym J.
europepmc   +1 more source