Results 21 to 30 of about 1,389,684 (315)

Enhanced brain structure-function tethering in transmodal cortex revealed by high-frequency eigenmodes

open access: yesNature Communications, 2023
While the link between brain structure and function remains an ongoing challenge, the prevailing hypothesis is that the structure-function relationship may itself be gradually decoupling from unimodal to transmodal cortex.
Yaqian Yang   +7 more
doaj   +1 more source

Local-Forest Method for Superspreaders Identification in Online Social Networks

open access: yesEntropy, 2022
Identifying the most influential spreaders in online social networks plays a prominent role in affecting information dissemination and public opinions. Researchers propose many effective identification methods, such as k-shell. However, these methods are
Yajing Hao   +5 more
doaj   +1 more source

From Frequency to Meaning: Vector Space Models of Semantics [PDF]

open access: yesJournal of Artificial Intelligence Research, 2010
Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their actions to us, and the ability of computers to analyse and process text ...
Peter D. Turney, Patrick Pantel
semanticscholar   +1 more source

The semantics of microglia activation: neuroinflammation, homeostasis, and stress

open access: yesJournal of Neuroinflammation, 2021
Microglia are emerging as critical regulators of neuronal function and behavior in nearly every area of neuroscience. Initial reports focused on classical immune functions of microglia in pathological contexts, however, immunological concepts from these ...
S. Woodburn, J. Bollinger, E. Wohleb
semanticscholar   +1 more source

A Physical Process Driven Digital Terrain Model Generating Method Based on D-NURBS

open access: yesIEEE Access, 2020
Airborne light detection and ranging (LiDAR) technology is becoming the primary method for generating high-resolution digital terrain models (DTMs), which is essential for commercial and scientific uses.
Danlei Ye   +6 more
doaj   +1 more source

Eigenmode-based approach reveals a decline in brain structure–function liberality across the human lifespan

open access: yesCommunications Biology, 2023
While brain function is supported and constrained by the underlying structure, the connectome-based link estimated by current approaches is either relatively moderate or accompanied by high model complexity, with the essential principles underlying ...
Yaqian Yang   +7 more
doaj   +1 more source

Global visibility of publications through Digital Object Identifiers

open access: yesFrontiers in Research Metrics and Analytics, 2023
This brief research report analyzes the availability of Digital Object Identifiers (DOIs) worldwide, highlighting the dominance of large publishing houses and the need for unique persistent identifiers to increase the visibility of publications from ...
Houcemeddine Turki   +3 more
doaj   +1 more source

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata [PDF]

open access: yesPeerJ Computer Science, 2022
Urgent global research demands real-time dissemination of precise data. Wikidata, a collaborative and openly licensed knowledge graph available in RDF format, provides an ideal forum for exchanging structured data that can be verified and consolidated ...
Houcemeddine Turki   +10 more
doaj   +2 more sources

Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2021
Hierarchical text classification is an important yet challenging task due to the complex structure of the label hierarchy. Existing methods ignore the semantic relationship between text and labels, so they cannot make full use of the hierarchical ...
Haibin Chen   +3 more
semanticscholar   +1 more source

Semantics-aware BERT for Language Understanding [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2019
The latest work on language representations carefully integrates contextualized features into language model training, which enables a series of success especially in various machine reading comprehension and natural language inference tasks.
Zhuosheng Zhang   +6 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy