Results 51 to 60 of about 3,322 (211)
A Framework to build Games with a Purpose for Linked Data Refinement
, 2018 With the rise of linked data and knowledge graphs, the need becomes compelling to find suitable solutions to increase the coverage and correctness of datasets, to add missing knowledge and to identify and remove errors.
Celino, Irene +2 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Advanced Science, EarlyView.Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source
Computational complexity of some intelligent computing systems
, 2011 PurposeAs agent‐based systems are increasingly used to model real‐life applications such as the internet, electronic markets or disaster management scenarios, it is important to study the computational complexity of such usually combinatorial systems ...
Emmanuel M. Tadjouddine
core +1 more source
Advanced Science, EarlyView.Molecular, genetic, virological, and biochemical analysis in combination with global proteome and phosphoproteome profiling and functional assays were applied to study the role of PR130 in the context of HSV‐1 replication. The observations reveal that host‐intrinsic mechanisms regulate HSV‐1 replication and highlight PR130 as a susceptibility factor of
Johannes Jungwirth +10 more
wiley +1 more source
Bounds on guessing numbers and secret sharing combining information theory methods [PDF]
summary:This paper is on developing some computer-assisted proof methods involving non-classical inequalities for Shannon entropy. Two areas of the applications of information inequalities are studied: Secret sharing schemes and hat guessing games.
Gürpınar, Emirhan
core +2 more sources
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Advanced Science, EarlyView.This study identifies a FOSL2‐driven positive feedback loop that amplifies FSH/FSHR signaling. During FSH‐dependent follicle maturation, FSH induces Fosl2 expression via the cAMP‐PKA‐CREB cascade. FOSL2 in turn binds the promoters of Fshr and estrogen‐biosynthesis genes to enhance their transcription, thereby increasing Fshr mRNA level and amplifying ...
Hongru Shi +13 more
wiley +1 more source
In this paper we study cooperative cost games arising from domination problems on graphs.We introduce three games to model the cost allocation problem and we derive a necessary and su cient condition for the balancedness of all three games.Furthermore we
Velzen, S. van
core
Advanced Science, EarlyView.This study reveals a citrate–ACLY–H3K27ac metabolic–epigenetic axis driving inflammatory gene activation and kidney fibrosis, highlighting ACLY inhibition as a potential therapeutic strategy for chronic kidney disease (CKD). ABSTRACT The mechanisms by which metabolic stress drives epigenetic dysregulation and fibrosis in chronic kidney disease (CKD ...
Chunxiu Du +15 more
wiley +1 more source