Results 111 to 120 of about 1,306,091 (274)
ABSTRACT As artificial intelligence (AI) technologies progress, AI agents arise as potential teammates in the workplace. This study explores how the visual representation of the AI agent as well as its conformity to traditional gender stereotypes affects the manifestation of uncanny valley effects in a workplace team context.
Agata Mirowska, Jbid Arsenyan
wiley +1 more source
Heat and Cold Waves in Brazil: An ERA5‐Based Analysis of Trends and Seasonality (1980–2024)
This study uses ERA5 reanalysis data to assess changes in extreme heat and cold events across Brazil from 1980 to 2024. Results reveal a sharp increase in heatwave frequency and a general decline in coldwave occurrences, though regional variations are substantial.
Alindomar Lacerda Silva, Scott Sheridan
wiley +1 more source
The Emergence of a Climate Change Signal in Ireland's Rainfall Extremes
Analysis of Irish precipitation records (1930–2019) shows significant relationships between rainfall extremes and global mean surface temperature (GMST), with increases of 12%–27% per °C of warming. Emergence of unusual climate conditions is already evident at several stations, most notably in the west during winter and the southeast during summer ...
Saoirse Fordham, Conor Murphy
wiley +1 more source
A Smooth Block Bootstrap for Statistical Functionals and Time Series [PDF]
Karl Gregory +2 more
openalex +1 more source
Development of simple predictive models of tooth loss in the community setting
Abstract Background A simple tool for predicting the risk of tooth loss is considered valuable for the implementation of early preventive measures in community settings. This study aimed to establish a simple predictive model for tooth loss in a community‐dwelling Japanese population.
Michiko Furuta +7 more
wiley +1 more source
ABSTRACT This study developed a non‐invasive model using PIVKA‐II and MRI features to predict microvascular invasion in hepatocellular carcinoma, providing a reliable tool for early risk assessment and personalized treatment planning. The study included 98 patients with pathologically confirmed HCC (Child‐Pugh A, BCLC stage A), comprising 43 MVI ...
Di Gao, Rui‐Qi Jin, Hong‐Wei Wang
wiley +1 more source
ABSTRACT AI‐driven personalization now structures search, recommendation, pricing, and service across the consumer journey, heightening a core dilemma: maximizing relevance and efficiency without compromising autonomy and trust. This article advances a capability‐based account of responsible personalization.
Yu‐Ming Hsu
wiley +1 more source
BOOTSTRAP CHOICE OF SMOOTHING PARAMETER OF LOCALLY WEIGHTED LINEAR REGRESSION
Myoungshic Jhun
openalex +2 more sources
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro +12 more
wiley +1 more source
Testing for Sufficient Follow-Up in Survival Data With a Cure Fraction. [PDF]
Yuen TP, Musta E.
europepmc +1 more source

