Results 51 to 60 of about 4,294,534 (298)

Episodes, events, and models

Frontiers in Human Neuroscience, 2015
We describe a novel computational theory of how individuals segment perceptual information into representations of events. The theory is inspired by recent findings in the cognitive science and cognitive neuroscience of event segmentation.
Sangeet eKhemlani, Anthony eHarrison, J. Gregory Trafton   +2 more
doaj   +1 more source

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting [PDF]

Annual Meeting of the Association for Computational Linguistics
Temporal Knowledge Graph (TKG) forecasting aims to predict future facts based on given histories. Most recent graph-based models excel at capturing structural information within TKGs but lack semantic comprehension abilities.
Yuwei Xia, Ding Wang, Q. Liu, Liang Wang, Shu Wu, Xiaoyu Zhang   +5 more
semanticscholar   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

MediaAdaptNet: Deep Representation Alignment With Cross-Platform Attention for Legacy Media Acceptance Discovery

IEEE Access
In an increasingly fragmented digital media landscape, understanding the sustained acceptance of legacy media demands models that can effectively align heterogeneous platform representations and audience behaviors.
Peng Wang, Leila Mirzoyeva, Aigerim Alzhanova   +2 more
doaj   +1 more source

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning

Annual Meeting of the Association for Computational Linguistics, 2023
Extrapolation reasoning on temporal knowledge graphs (TKGs) aims to forecast future facts based on past counterparts. There are two main challenges: (1) incorporating the complex information, including structural dependencies, temporal dynamics, and ...
Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, E. Cambria   +4 more
semanticscholar   +1 more source

Artificial molecular machines and motors—Design and control of nanoscale motion

FEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

Temporal patterns: Smart-type reasoning and applications [PDF]

, 2017
Allen’s interval algebra is a calculus for temporal reasoning that was introduced in 1983. Reasoning with quali- tative time in Allen’s full interval algebra is nondeterministic polynomial time (NP) complete.
Hunsdale, Karen, Chuckravanen, Dineshen, Daykin, Jacqueline, Seeam, Amar   +3 more
core  

Digital Relations in ${\mathbb{Z}}^1$: Discretized Time and Rasterized Lines

ISPRS International Journal of Geo-Information
There is voluminous literature concerning the scope of topological relations that span various embedding spaces from R1 to R2, Z2 , S1 and S2 , and T2.
Matthew P. Dube
doaj   +1 more source

Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer

Molecular Oncology, EarlyView.
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas, Barbara Karakyriakou, Patricia C. Muskus, Alyssa M. Roberts, Justin Rendleman, Alexa Warren, Hanxu Lu, Kimberly A. Birmingham, Malone K. Friedman, Abigail E. Goen, Huijuan Yang, Owen M. Wilkins, Fred W. Kolling, Eugene Demidenko, Julie M. Jorns, Brock C. Christensen, Todd W. Miller   +16 more
wiley   +1 more source

Improved Temporal Fuzzy Reasoning Spiking Neural P Systems for Power System Fault Diagnosis

Applied Sciences
Fuzzy and temporal reasoning can effectively improve the accuracy of fault diagnosis methods. However, there are challenges in practical applications, such as missing alarm messages, temporal reasoning with complex calculations, and complex modeling ...
Ning Shao, Qing Chen, Dan Xie, Ye Sun, Chengao Yu   +4 more
doaj   +1 more source