Results 211 to 220 of about 186,322 (298)

Consumers' Intention to Use Circular Business Models: A Configurational Analysis

open access: yesBusiness Strategy and the Environment, EarlyView.
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

Stranger Rape or Impromptu Consensual Sex? Investigating Mock Juror Decision‐Making in a Genuine Contested Rape Trial

open access: yesBehavioral Sciences &the Law, EarlyView.
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

Social‐Therapeutic Custodial Treatment of Individuals Who Committed Sexual Offences: A Comprehensive Controlled and Multicentred Evaluation

open access: yesCriminal Behaviour and Mental Health, EarlyView.
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

open access: yesChemistry – A European Journal, EarlyView.
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

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