Results 111 to 120 of about 142,624 (305)
Objective Cognitive impairment (CI) is common in patients with systemic lupus erythematosus (SLE). Despite its prevalence, the immune mechanisms are not well understood. We previously reported elevated serum levels of S100A8/A9 and matrix metalloproteinase 9 (MMP‐9) in patients with SLE and CI.
Carolina Muñoz‐Grajales+18 more
wiley +1 more source
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez+8 more
wiley +1 more source
Document re-ranking based on automatically acquired key terms in Chinese information retrieval [PDF]
Lingpeng Yang, Donghong Ji, Li Tang
openalex +1 more source
The prodrug strategy used in this study offers new promise for cancer metabolism‐based therapies. JHU083, a prodrug that, when cleaved by protease in the tumor microenvironment, yields the glutamine antagonist DON. JHU083 inhibits tumor growth by targeting glutamine‐addicted cancer cells and suppressing glutamine‐dependent M2 macrophages, leading to a ...
Tianhe Li+10 more
wiley +1 more source
Hierarchical Geometry Verification via Maximum Entropy Saliency in Image Retrieval
We propose a new geometric verification method in image retrieval—Hierarchical Geometry Verification via Maximum Entropy Saliency (HGV)—which aims at filtering the redundant matches and remaining the information of retrieval target in images which is ...
Hongwei Zhao, Qingliang Li, Pingping Liu
doaj +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
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
Methods for ranking user-generated text streams: a case study in blog feed retrieval [PDF]
User generated content are one of the main sources of information on the Web nowadays. With the huge amount of this type of data being generated everyday, having an efficient and effective retrieval system is essential.
Crestani, Fabio, Keikha, Mostafa
core
Concept Based Representations for Ranking in Geographic Information Retrieval [PDF]
Maya Carrillo+5 more
openalex +1 more source
A Framework for Decentralized Ranking in Web Information Retrieval [PDF]
Search engines are among the most important applications or services on the web. Most existing successful search engines use global ranking algorithms to generate the ranking of documents crawled in their databases. However, global ranking of documents has two potential problems: high computation cost and potentially poor rankings. Both of the problems
Jie Wu, Karl Aberer
openaire +2 more sources
Beyond Precision and Recall: Measuring Search Engine Consistency Using Rank Stability
Traditional information retrieval metrics assess document relevance but neglect ranking stability—a critical factor in today’s dynamic web environments where search algorithms constantly evolve.
Krishnan Batri+4 more
doaj +1 more source