Results 231 to 240 of about 2,637,088 (356)

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Integrating curation into scientific publishing to train AI models. [PDF]

Bioinformatics
Abreu-Vicente J, Sonntag H, Eidens T, Mitchell CS, Lemberger T.   +4 more
europepmc   +1 more source

Analyzing a frame-based information system using the relational and entity-relationship data models

, 1986
Bruce James McTavish
openalex   +1 more source

Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments

AIChE Journal, EarlyView.
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin, José Esteban Andino‐Enriquez, Thomas Gouëzec, Maurice Bourrel, Enric Santanach‐Carreras, Nicolas Passade‐Boupat, Laurence Talini, François Lequeux, Pascal Panizza   +8 more
wiley   +1 more source

A joint span-entity prediction approach with generative and cross-lingual meta-learning for low-resource Japanese NER. [PDF]

Sci Rep
Shao X, Zhu D, Liu Q, Pan X.
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Research on daily medication and drug efficacy evaluation for chronic diseases based on natural language processing (NLP). [PDF]

Front Public Health
Jiang T, Yu Z, Zhang L, Ge L, Wang X, Li T, Wang N, Wang Z.   +7 more
europepmc   +1 more source

Utilizing extended entity relationship modeling as a basis for logical relational database design [PDF]

, 1992
Randall E. Wambold
openalex  

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Biological Principles Successfully Guide Students' Generative Mechanistic Reasoning. [PDF]

CBE Life Sci Educ
Doherty JH, Todd KA, Wenderoth MP, VanDerSlik AL, Cole EJ.   +4 more
europepmc   +1 more source