Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Lifecycles of Competition Systems: Explaining Variation in the Implementation of New Regimes [PDF]
Kovacic, William E. +1 more
core +1 more source
Sociocultural correlates and epidemiological patterns of non-alcoholic beer consumption: a cross-sectional study in Poland. [PDF]
Silczuk A +7 more
europepmc +1 more source
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 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]
Mekuria SA, Marcinkowski D, Harasym J.
europepmc +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
A Comparison Between Ripening Under a Constant Volume and Ripening Under a Constant Surface Area. [PDF]
Tu KN, Gusak AM, Sun Q, Yao Y.
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Serological survey of antibodies against Toxoplasma gondii and Neospora caninum in pigs from various regions of Poland. [PDF]
Augustyniak A +3 more
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
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 +4 more
wiley +1 more source

