Results 41 to 50 of about 5,285 (267)
In the current landscape of data analytics, Fuzzy Association Rule Mining (FARM) is being extensively employed to produce interpretable fuzzy rules. In the literature, various toolkits exist that assist practitioners in performing FARM-based inference on
Vartul Shrivastava, Shekhar Shukla
doaj +1 more source
Photothermal‐Activated Antibacterial Amyloid‐Polyphenol‐Iron Hydrogels for Synergistic Wound Healing
We report a thermally triggered supramolecular hydrogel (LTFe) formed by Fe3+ and tannic acid on lysozyme amyloid fibrils. Fe3+ enables rapid gelation and photothermal transduction with an efficiency of 88.56%. The LTFe hydrogel exhibits excellent biocompatibility, potent antibacterial activity against E. coli and S.
Di Wu +8 more
wiley +1 more source
Microfluidic coaxial extrusion generates size‐controlled 3D lymphatic tubes from primary human dermal lymphatic endothelial cells in a defined four‐component matrix. These engineered vessels self‐organize into stable lymphatic endothelium, maintain selective macromolecular permeability for 30 days, and enable direct comparison with blood endothelial ...
Elsa Mazari‐Arrighi +8 more
wiley +1 more source
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină +2 more
wiley +1 more source
Selection of Satisfied Association Rules via Aggregation of Linguistic Satisfied Degrees
Many association rule mining algorithms have been well-established, such as Apriori, Eclat, FP-Growth, or LCM algorithms. However, the challenge is that the huge size of association rules is extracted by using these algorithms, and it is difficult for ...
Fangling Ren, Zheng Pei, Kehong Wu
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Implication-Based Fuzzy Association Rules [PDF]
Fuzzy association rules provide a data mining tool which is especially interesting from a knowledge-representational point of view since fuzzy attribute values allow for expressing rules in terms of natural language. In this paper, we show that fuzzy associations can be interpreted in different ways and that the interpretation has a strong influence on
openaire +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage
Association Rule Mining (ARM) relies on concept lattices as an effective knowledge representation structure. However, classical ARM methods face significant limitations, including the generation of misleading rules during data-to-formal-context mapping ...
Gamal F. Elhady +4 more
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Human Resource Allocation Based on Fuzzy Data Mining Algorithm
Data mining is currently a frontier research topic in the field of information and database technology. It is recognized as one of the most promising key technologies.
You Wu, Zheng Wang, Shengqi Wang
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Mechanically Programmable DNA Hydrogel Microparticles for 3D Cellular Systems
DNA hydrogel microparticles are designed to exhibit controllable viscoelasticity and stiffness across three orders of magnitude from 30Pa$30 \,\mathrm{Pa}$ to 6.5kPa$6.5 \,\mathrm{kPa}$. They are uptaken into fibroblast spheroids where they are actively remodeled by cellular forces depending on their mechanical properties.
Tobias Walther +9 more
wiley +1 more source

