Results 71 to 80 of about 1,088 (256)
Research on multiple enhanced k combination reverse Skyline query method
The reverse Skyline query aims to identify a set of data points that dynamically dominate a query point from the decision-makers’ perspective. It has been widely applied in business decision-making, recommendation systems, location-based services ...
Song Li, Xinyuan Zhang, Liping Zhang
doaj +1 more source
Exchange‐Coupled Two‐Dimensional MOFs
Graphene mediates ferromagnetic coupling between two‐dimensional metal‐organic frameworks and cobalt. Fe‐tetracyanobenzene develops a remanent magnetic response whose orientation follows the cobalt magnetization direction and persists up to room temperature, whereas Ni‐TCNB remains only field‐polarized.
Iulia Cojocariu +5 more
wiley +1 more source
This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang +17 more
wiley +1 more source
Micro‐ and nano‐patterned elastin‐like recombinamer (ELR) hydrogels integrate bioactive matrix chemistry with defined surface topography. The combined cues promote rapid endothelial cell capture, alignment, and monolayer formation on soft substrates.
Jagoda Litowczenko +8 more
wiley +1 more source
A novel multi-objective SKG-skyline algorithm integrating spatial keyword data transformation
The spatial keyword skyline query effectively addresses user preferences, particularly for location-based service applications. However, existing approaches primarily focus on single-object queries and remain unsuitable for group-based computations.
Xiaowei Cui +5 more
doaj +1 more source
Parallelizing Skyline Queries for Scalable Distribution [PDF]
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are restricted to centralized query processors, limiting scalability and imposing a single point of failure.
Wu, P +5 more
openaire +2 more sources
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
DATA REFINEMENT APPROACH FOR ANSWERING WHY-NOT PROBLEM OVER K-MOST PROMISING PRODUCT (K-MPP) QUERIES
K-Most Promising (K-MPP) product is a strategy for selecting a product that used in the process of determining the most demanded products by consumers.
Vynska Amalia Permadi +2 more
doaj +1 more source
Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley +1 more source
Continuous skyline queries on multicore architectures
SummaryThe emergence of real‐time decision‐making applications in domains like high‐frequency trading, emergency management, and service level analysis in communication networks has led to the definition of new classes of queries.Skyline queriesare a notable example.
Tiziano De Matteis +2 more
openaire +1 more source

