Consumers' Intention to Use Circular Business Models: A Configurational Analysis
ABSTRACT Circular business models (CBMs) integrate ecological sustainability and resource efficiency into core business strategies, but their success depends on consumers' intention to use. Grounded in expectancy–value theory, this study investigates how product‐related factors (perceived usefulness, convenience, value for money, and performance risk ...
Christof Falkenberg +4 more
wiley +1 more source
Recovery Outcomes and Treatment Dropout in Patients with Complex Problems Undergoing Inpatient Addiction Treatment: A Naturalistic Prospective Cohort Study. [PDF]
Pars E +3 more
europepmc +1 more source
Factors Influencing Dropout and Retention Among Autistic Students in Universities: A Meta-Synthesis of Qualitative Studies Involving Autistic Individuals [PDF]
Oriyomi Shittu +2 more
openalex +1 more source
ABSTRACT The aim of this study was to better understand juror decision‐making in a less typical rape trial scenario where even prior acquaintance is disputed. Adopting an improved mock trial paradigm including a video‐recorded recreation of a genuine rape allegation and jury‐group deliberation, 156 jury‐eligible participants took part in 1 of 13 ...
Dominic Willmott, Rosie Woodhams
wiley +1 more source
Clinical impact of hospital distance and center transfers on adherence and outcomes in familial adenomatous polyposis: A multicenter retrospective study in a defined region of Japan. [PDF]
Tatsuta K +9 more
europepmc +1 more source
ABSTRACT Background In‐prison treatment of persons who committed sexual offences often showed nonsignificant, small or sometimes even negative effects, particularly in sexual recidivism. Various reasons for this situation seem to be relatively short and standardised group‐based programmes, isolated implementations and insufficient attention to context ...
Friedrich Lösel, Eva Link, Lena C. Carl
wiley +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain +3 more
wiley +1 more source
Calibrated Transformer Fusion for Dual-View Low-Energy CESM Classification. [PDF]
Alkurdi AAH, Sallow AB.
europepmc +1 more source

