Results 161 to 170 of about 1,872,988 (376)
Parallel processing of multi-join expansion-aggregate data cube query in high performance database systems [PDF]
, 2003 David Taniar, Rebecca Boon-Noi Tan
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Advanced Biology, EarlyView.This study optimized a cell‐based ELISA for HIT antibody detection using PF4‐coated breast cancer cells (MDA‐MB‐231). Enhanced binding was observed at 50 mM NaCl and 4% paraformaldehyde fixation. Live MDA‐MB‐231 and HCT‐116 cells demontrated superior sensitivity and specificity, providing a promising platelet‐free alternative for clinical HIT diagnosis.
Li‐Yu Chen +4 more
wiley +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Context-Aware Fine-Grained Product Recognition on Grocery Shelves
IEEE AccessProduct recognition is a fine-grained image retrieval problem because grocery stores can contain several thousand products on their shelves, some of which have minimal visual differences.
Lovre Antonio Budimir +3 more
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Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
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A study of the effect of term proximity on query expansion [PDF]
, 2006 Olga Vechtomova, Ying Wang
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
SEARCHING FOR EXPLANATORY WEB PAGES USING AUTOMATIC QUERY EXPANSION [PDF]
, 2007 Manabu Tauchi, Nigel G. Ward
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Advanced Engineering Materials, EarlyView.A new experimental setup, incorporating digital image correlation and infrared thermography in combination with inductive‐conductive heating for precise temperature control, is used to analyze the mechanical behavior and microstructural changes of sheet metal under complex thermomechanical test conditions that represent quench and partitioning ...
Christian Illgen +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
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