Results 171 to 180 of about 69,909 (301)

On Matrix‐Based Cryptography Using Matrix Norm and Special Integer Sequences

Mathematische Nachrichten, EarlyView.
ABSTRACT In this paper, a novel matrix‐based encryption approach based on the Affine Hill cipher is presented. The key matrix is constructed using the Narayana integer sequence, and the Frobenius norm of the key matrix is used as a scaling factor in the key construction.
Melih Göcen, Sümeyye Hacer Büyükakyol   +1 more
wiley   +1 more source

When a Week Is Not A Week: How Temporal Boundaries Shift Regulatory Focus and Consumer Preference

Psychology &Marketing, EarlyView.
ABSTRACT Does consumer perception of a sales event change if it falls across a calendar boundary (e.g., next month) versus within the current month, holding objective time constant? We investigate this question in the context of Cyber Monday, the global shopping event occurring the Monday after the U.S. Thanksgiving holiday.
David DeFranza, Promothesh Chatterjee
wiley   +1 more source

Emotion and Engagement Across the Idol Spectrum: Comparing Virtual and Human Idols

Psychology &Marketing, EarlyView.
ABSTRACT The increasing adoption of virtual idols in entertainment platforms raises critical questions about how viewers respond to their emotional performances compared to human idols. Despite their growing presence, little is known about whether and how emotional expressivity differs across performer modalities and content formats, or how these ...
Lin Kim, Inyoung Chae, Taeho Kim, Jaepil Heo, Yogesh Kumar Dwivedi   +4 more
wiley   +1 more source

Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding

, 2012
Peldszus A, Buß O, Baumann T, Schlangen D. Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding.
Peldszus, Andreas, Schlangen, David ; https://orcid.org/, Buß, Okko, Baumann, Timo   +3 more
core  

Bridging Linguistics and Computational Linguistics: Insights into Synergies and Challenges from a Case Study

IJCoL
This paper outlines the evolving interplay between Linguistics and Computational Linguistics, aiming to map the current state of their interactions and to identify areas where deeper integration could drive significant advancements in both areas.
Simonetta Montemagni
doaj  

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

Assessing ChatGPT for taxonomic and floristic studies

Nordic Journal of Botany, EarlyView.
The advancement of biological sciences has long been closely linked to technological progress. ChatGPT, a generative artificial intelligence chatbot capable of producing human‐like conversational responses, has recently attracted attention as a potential support tool for scientific research.
Mykyta Peregrym, Olena Kozak, Ahmet Emre Yaprak, Alan Elliott, Pedro Bond Schwartsburd, Karime Abidkulova, Anna Voytsekhovich, Olena Danylevska   +7 more
wiley   +1 more source

Effective use of latent semantic indexing and computational linguistics in biological and biomedical applications. [PDF]

Front Physiol, 2013
Chen H, Martin B, Daimon CM, Maudsley S.
europepmc   +1 more source

BeLLM : backward dependency enhanced large language model for sentence embeddings [PDF]

The 2024 Conference of the North American Chapter of the Association for Computational Linguistics, June 16-21, 2024, Mexico City202407 bcwhVersion of ...
Li, J, Li, X
core  

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source