Results 61 to 70 of about 237,519 (286)
Conceptualising Programming Language Semantics
The semantics of programming languages tend to be discussed with high levels of formality; much of the previous research—both philosophical and historical—has investigated them from this perspective.
Troy Kaighin Astarte
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
The Theory of Finitely Supported Structures and Choice Forms [PDF]
The theory of finitely supported algebraic structures provides a first step in computing infinite algebraic structures that are finitely supported modulo certain atomic permutation actions.
A. Alexandru
doaj +1 more source
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang +13 more
wiley +1 more source
An Efficient Algorithm for Sorting and Duplicate Elimination by Using Logarithmic Prime Numbers
Data structures such as sets, lists, and arrays are fundamental in mathematics and computer science, playing a crucial role in numerous real-life applications.
Wei-Chang Yeh, Majid Forghani-elahabad
doaj +1 more source
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang +13 more
wiley +1 more source
Histamine H4 receptor (H4R) antagonist VUF6002 mimics low‐dose X‐ray irradiation in aged Alzheimer's disease (AD) mice, enhancing microglial clearance of amyloid‐beta/hyperphosphorylated tau aggregates and restoring cognition. Microglial H4R deletion activates cAMP/TGF‐β1/Smad3 pathway, enhancing phagocytosis, while TGF‐β receptor 1 deletion abolishes ...
Yi‐Jun Xu +5 more
wiley +1 more source
Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He +6 more
wiley +1 more source
Data Mining Meets Logic: Situation-Based Modal Logic and Metadata Veracity
Logic and theoretical computer science are deeply interconnected, with logic forming a foundational pillar in the emergence of computer science. This connection has grown stronger over time, driven by advancements in symbolic systems within artificial ...
Simone Cuconato
doaj +1 more source
Formal Model Engineering for Embedded Systems Using Real-Time Maude
This paper motivates why Real-Time Maude should be well suited to provide a formal semantics and formal analysis capabilities to modeling languages for embedded systems.
A. Boronat +27 more
core +2 more sources

